bluuebunny/crossref_metadata_2025 huggingface dataset:
The impact of improved beehive technology adoption on rural household income, consumption expenditure and asset wealth in Wonchi districts, Ethiopia
Authors: Mosisa Tegegn Defar , Hordofa Dereje Fedasa
Published: July 2024

The objective of this study was to evaluate the effects of adopting enhanced beehive technology on the welfare of rural households engaged in beekeeping activities in Ethiopia. We examined the impact of adopting enhanced beehive technology on welfare outcomes in the Wonchi districts using a two-stage random selection process and propensity score matching (PSM) methodology. This research offers novel perspectives on the adoption of enhanced beehive technology and its influence on household welfare outcomes in the field of beekeeping. It employs a comprehensive analysis that takes into account several dimensions, such as income, welfare, and spending. Our research findings indicate that several characteristics have a favorable impact on the adoption of enhanced beehive technology. These factors include the gender of the household head, the size of the land, the marital status of the household head, as well as the availability of extension services, input and credit services, and the total number of animals owned. On the other hand, age, dependency ratio, and proximity to farmer training facilities negatively impact the adoption of technology. The analysis using Propensity Score Matching (PSM) methodology demonstrated that the adoption of technology had a favorable influence on the income, wealth, non-food expenditure, and food expenditure of households. However, it is important to acknowledge some limitations. As the study relied on cross-sectional data from a specific region, its findings may not be generalizable to other locations or time periods. Additionally, self-reported data is subject to biases. Other potential limitations are the omission of other factors that could influence welfare outcomes and limited assessment of long-term sustainability. Based on our research results, policymakers should prioritize efforts to understand the determinants that facilitate the acceptance and utilization of enhanced beehive technologies in order to enhance the overall well-being of rural households. Further research is needed to address the study limitations.
Speculation Versus Fact: Reply to the Cohens
Authors: Robertson Leon S.
Published: July 2024

The comment by the Cohens on my article, “An Instance of Effective Legal Regulation” (1976), consists mainly of speculation about the fatality distributions and questions regarding the adequacy of the statistical models that I used to test for deviation from random fluctuation. Such speculation is unwarranted, and particularly so when the issue is public policy affecting human life. A point by point examination of the Cohens' comments indicates that they are without merit.
Studying the Mystery of Uranus’s Curiously Weak Radiation Belts
Authors: Scharping Nathaniel
Published: July 2024

The belts may not be weak at all—instead, they may be simply changing speed thanks to the planet’s asymmetric magnetic field.
Air Pollution and Blood Pressure: Evidence From Indonesia
Authors: Madrigano Jaime , Yan Daisy , Liu Tianjia , Bonilla Eimy , Yulianti Nina , Mickley Loretta J. , Marlier Miriam E.
Published: July 2024

Indonesia faces significant air quality issues due to multiple emissions sources, including rapid urbanization and peatland fires associated with agricultural land management. Limited prior research has estimated the episodic shock of intense fires on morbidity and mortality in Indonesia but has largely ignored the impact of poor air quality throughout the year on biomarkers of cardiovascular disease risk. We conducted a cross‐sectional study of the association between particulate matter less than 2.5 microns in diameter (PM2.5) and blood pressure. Blood pressure measurements were obtained from the fifth wave of the Indonesian Family Life Survey (IFLS5), an ongoing population‐based socioeconomic and health survey. We used the GEOS‐Chem chemical transport model to simulate daily PM2.5 concentrations at 0.5° × 0.625° resolution across the IFLS domain. We assessed the association between PM2.5 and diastolic and systolic blood pressure, using mixed effects models with random intercepts for regency/municipality and household and adjusted for individual covariates. An interquartile range increase in monthly PM2.5 exposure was associated with a 0.234 (95% CI: 0.003, 0.464) higher diastolic blood pressure, with a greater association seen in participants age 65 and over (1.16 [95% CI: 0.24, 2.08]). For the same exposure metric, there was a 1.90 (95% CI: 0.43, 3.37) higher systolic blood pressure in participants 65 and older. Our assessment of fire‐specific PM2.5 yielded null results, potentially due to the timing and locations of health data collection. To our knowledge, this is the first study to provide evidence for an association between PM2.5 and blood pressure in Indonesia.
Macrophage migration inhibitory factor (MIF) suppresses mitophagy through disturbing the protein interaction of PINK1-Parkin in sepsis-associated acute kidney injury
Authors: Li Tianlong , Qu Jiachen , Hu Chang , Pang Jingjing , Qian Yaoyao , Li Yiming , Peng Zhiyong
Published: July 2024

Damage to renal tubular epithelial cells (RTECs) signaled the onset and progression of sepsis-associated acute kidney injury (SA-AKI). Recent research on mitochondria has revealed that mitophagy plays a crucial physiological role in alleviating injury to RTECs and it is suppressed progressively by the inflammation response in SA-AKI. However, the mechanism by which inflammation influences mitophagy remains poorly understood. We examined how macrophage migration inhibitory factor (MIF), a pro-inflammatory protein, influences the PINK1-Parkin pathway of mitophagy by studying protein–protein interactions when MIF was inhibited or overexpressed. Surprisingly, elevated levels of MIF were found to directly bind to PINK1, disrupting its interaction with Parkin. This interference hindered the recruitment of Parkin to mitochondria and impeded the initiation of mitophagy. Furthermore, this outcome led to significant apoptosis of RTECs, which could, however, be reversed by an MIF inhibitor ISO-1 and/or a new mitophagy activator T0467. These findings highlight the detrimental impact of MIF on renal damage through its disruption of the interaction between PINK1 and Parkin, and the therapeutic potential of ISO-1 and T0467 in mitigating SA-AKI. This study offers a fresh perspective on treating SA-AKI by targeting MIF and mitophagy.
RSL3 enhances ROS-mediated cell apoptosis of myelodysplastic syndrome cells through MYB/Bcl-2 signaling pathway
Authors: Liu Li , Yang Chaoying , Zhu Lin , Wang Yanyan , Zheng Fuxiang , Liang Long , Cao Pengfei , Liu Jing , Han Xu , Zhang Ji
Published: July 2024

Myelodysplastic syndromes (MDS) are clonal hematopoietic malignancies and seriously threaten people’s health. Current therapies include bone marrow transplantation and several hypomethylating agents. However, many elderly patients cannot benefit from bone marrow transplantation and many patients develop drug resistance to hypomethylating agents, making it urgent to explore novel therapy. RSL3 can effectively induce ferroptosis in various tumors and combination of RSL3 and hypomethylating agents is promising to treat many tumors. However, its effect in MDS was unknown. In this study, we found that RSL3 inhibited MDS cell proliferation through inducing ROS-dependent apoptosis. RSL3 inhibited Bcl-2 expression and increased caspase 3 and PARP cleavage. RNA-seq analysis revealed that MYB may be a potential target of RSL3. Rescue experiments showed that overexpression of MYB can rescue MDS cell proliferation inhibition caused by RSL3. Cellular thermal shift assay showed that RSL3 binds to MYB to exert its function. Furthermore, RSL3 inhibited tumor growth and decreased MYB and Bcl-2 expression in vivo. More importantly, RSL3 decreased the viability of bone marrow mononuclear cells (BMMCs) isolated from MDS patients, and RSL3 had a synergistic effect with DAC in MDS cells. Our studies have uncovered RSL3 as a promising compound and MYB/Bcl-2 signaling pathway as a potential target for MDS treatment.
IFNγ-IL12 axis regulates intercellular crosstalk in metabolic dysfunction-associated steatotic liver disease
Authors: Friedline Randall H. , Noh Hye Lim , Suk Sujin , Albusharif Mahaa , Dagdeviren Sezin , Saengnipanthkul Suchaorn , Kim Bukyung , Kim Allison M. , Kim Lauren H. , Tauer Lauren A. , Baez Torres Natalie M. , Choi Stephanie , Kim Bo-Yeon , Rao Suryateja D. , Kasina Kaushal , Sun Cheng , Toles Benjamin J. , Zhou Chan , Li Zixiu , Benoit Vivian M. , Patel Payal R. , Zheng Doris X. T. , Inashima Kunikazu , Beaverson Annika , Hu Xiaodi , Tran Duy A. , Muller Werner , Greiner Dale L. , Mullen Alan C. , Lee Ki Won , Kim Jason K.
Published: July 2024

Obesity is a major cause of metabolic dysfunction-associated steatohepatitis (MASH) and is characterized by inflammation and insulin resistance. Interferon-γ (IFNγ) is a pro-inflammatory cytokine elevated in obesity and modulating macrophage functions. Here, we show that male mice with loss of IFNγ signaling in myeloid cells (Lyz-IFNγR2−/−) are protected from diet-induced insulin resistance despite fatty liver. Obesity-mediated liver inflammation is also attenuated with reduced interleukin (IL)−12, a cytokine primarily released by macrophages, and IL-12 treatment in vivo causes insulin resistance by impairing hepatic insulin signaling. Following MASH diets, Lyz-IFNγR2−/− mice are rescued from developing liver fibrosis, which is associated with reduced fibroblast growth factor (FGF) 21 levels. These results indicate critical roles for IFNγ signaling in macrophages and their release of IL-12 in modulating obesity-mediated insulin resistance and fatty liver progression to MASH. In this work, we identify the IFNγ-IL12 axis in regulating intercellular crosstalk in the liver and as potential therapeutic targets to treat MASH.
Meningeal lymphatic supporting cells govern the formation and maintenance of zebrafish mural lymphatic endothelial cells
Authors: He Xiang , Xiong Daiqin , Zhao Lei , Fu Jialong , Luo Lingfei
Published: July 2024

The meninges are critical for the brain functions, but the diversity of meningeal cell types and intercellular interactions have yet to be thoroughly examined. Here we identify a population of meningeal lymphatic supporting cells (mLSCs) in the zebrafish leptomeninges, which are specifically labeled by ependymin. Morphologically, mLSCs form membranous structures that enwrap the majority of leptomeningeal blood vessels and all the mural lymphatic endothelial cells (muLECs). Based on its unique cellular morphologies and transcriptional profile, mLSC is characterized as a unique cell type different from all the currently known meningeal cell types. Because of the formation of supportive structures and production of pro-lymphangiogenic factors, mLSCs not only promote muLEC development and maintain the dispersed distributions of muLECs in the leptomeninges, but also are required for muLEC regeneration after ablation. This study characterizes a newly identified cell type in leptomeninges, mLSC, which is required for muLEC development, maintenance, and regeneration.
Temperature-related neonatal deaths attributable to climate change in 29 low- and middle-income countries
Authors: Dimitrova Asya , Dimitrova Anna , Mengel Matthias , Gasparrini Antonio , Lotze-Campen Hermann , Gabrysch Sabine
Published: July 2024

Exposure to high and low ambient temperatures increases the risk of neonatal mortality, but the contribution of climate change to temperature-related neonatal deaths is unknown. We use Demographic and Health Survey (DHS) data (n = 40,073) from 29 low- and middle-income countries to estimate the temperature-related burden of neonatal deaths between 2001 and 2019 that is attributable to climate change. We find that across all countries, 4.3% of neonatal deaths were associated with non-optimal temperatures. Climate change was responsible for 32% (range: 19-79%) of heat-related neonatal deaths, while reducing the respective cold-related burden by 30% (range: 10-63%). Climate change has impacted temperature-related neonatal deaths in all study countries, with most pronounced climate-induced losses from increased heat and gains from decreased cold observed in countries in sub-Saharan Africa. Future increases in global mean temperatures are expected to exacerbate the heat-related burden, which calls for ambitious mitigation and adaptation measures to safeguard the health of newborns.
Understanding the large role of long-distance travel in carbon emissions from passenger travel
Authors: Wadud Zia , Adeel Muhammad , Anable Jillian
Published: July 2024

Long-distance passenger travel has received rather sparse attention for decarbonization. Here we characterize the long-distance travel pattern in England and explore its importance on carbon emissions from and decarbonization of passenger travel. We find that only 2.7% of a person’s trips are for long distance travel (>50 miles one-way), but they account for 61.3% of the miles and 69.3% of the greenhouse gas (CO2equivalent) emissions from passenger travel, highlighting its importance for decarbonizing passenger transport. Long-distance travel per person has also been increasing over time, trending in the opposite direction to shorter-distance travel. Flying for leisure and social purposes are the largest contributors to long distance miles and emissions, and these miles are also increasing. Overall, per capita travel emissions have started decreasing slowly from 2007, but are still higher than in 1997. We propose a new metric—emissions reduction sensitivity (% emission reduced/% trips altered)—to understand the efficiency of travel demand related initiatives to reduce greenhouse gas emissions. Long-distance travel—especially flying—can offer orders of magnitude larger emissions reduction sensitivity compared with urban travel, which suggests that a proportionate policy approach is necessary.
A mapped dataset of surface ocean acidification indicators in large marine ecosystems of the United States
Authors: Sharp Jonathan D. , Jiang Li-Qing , Carter Brendan R. , Lavin Paige D. , Yoo Hyelim , Cross Scott L.
Published: July 2024

Mapped monthly data products of surface ocean acidification indicators from 1998 to 2022 on a 0.25° by 0.25° spatial grid have been developed for eleven U.S. large marine ecosystems (LMEs). The data products were constructed using observations from the Surface Ocean CO2 Atlas, co-located surface ocean properties, and two types of machine learning algorithms: Gaussian mixture models to organize LMEs into clusters of similar environmental variability and random forest regressions (RFRs) that were trained and applied within each cluster to spatiotemporally interpolate the observational data. The data products, called RFR-LMEs, have been averaged into regional timeseries to summarize the status of ocean acidification in U.S. coastal waters, showing a domain-wide carbon dioxide partial pressure increase of 1.4 ± 0.4 μatm yr−1 and pH decrease of 0.0014 ± 0.0004 yr−1. RFR-LMEs have been evaluated via comparisons to discrete shipboard data, fixed timeseries, and other mapped surface ocean carbon chemistry data products. Regionally averaged timeseries of RFR-LME indicators are provided online through the NOAA National Marine Ecosystem Status web portal.
Cellular morphological trait dataset for extant coccolithophores from the Atlantic Ocean
Authors: Sheward Rosie M. , Poulton Alex J. , Young Jeremy R. , de Vries Joost , Monteiro Fanny M. , Herrle Jens O.
Published: July 2024

Calcification and biomass production by planktonic marine organisms influences the global carbon cycle and fuels marine ecosystems. The major calcifying plankton group coccolithophores are highly diverse, comprising ca. 250–300 extant species. However, coccolithophore size (a key functional trait) and degree of calcification are poorly quantified, as most of our understanding of this group comes from a small number of species. We generated a novel reference dataset of coccolithophore morphological traits, including cell-specific data for coccosphere and cell size, coccolith size, number of coccoliths per cell, and cellular calcite content. This dataset includes observations from 1074 individual cells and represents 61 species from 25 genera spanning equatorial to temperate coccolithophore populations that were sampled during the Atlantic Meridional Transect (AMT) 14 cruise in 2004. This unique dataset can be used to explore relationships between morphological traits (cell size and cell calcite) and environmental conditions, investigate species-specific and community contributions to pelagic carbonate production, export and plankton biomass, and inform and validate coccolithophore representation in marine ecosystem and biogeochemical models.
A single-cell chromatin accessibility dataset of human primed and naïve pluripotent stem cell-derived teratoma
Authors: Li Jinxiu , Fu Lixin , Li Yunpan , Sun Wei , Yi Yao , Jia Wenqi , Li Haiwei , Liu Hao , Guo Pengcheng , Wang Yang , Shen Yue , Zhang Xiuqing , Lv Yuan , Qin Baoming , Li Wenjuan , Liu Chuanyu , Liu Longqi , Mazid Md. Abdul , Lai Yiwei , Esteban Miguel A. , Jiang Yu , Wu Liang
Published: July 2024

Teratoma, due to its remarkable ability to differentiate into multiple cell lineages, is a valuable model for studying human embryonic development. The similarity of the gene expression and chromatin accessibility patterns in these cells to those observed in vivo further underscores its potential as a research tool. Notably, teratomas derived from human naïve (pre-implantation epiblast-like) pluripotent stem cells (PSCs) have larger embryonic cell diversity and contain extraembryonic lineages, making them more suitable to study developmental processes. However, the cell type-specific epigenetic profiles of naïve PSC teratomas have not been yet characterized. Using single-cell assay for transposase-accessible chromatin sequencing (scATAC-seq), we analyzed 66,384 cell profiles from five teratomas derived from human naïve PSCs and their post-implantation epiblast-like (primed) counterparts. We observed 17 distinct cell types from both embryonic and extraembryonic lineages, resembling the corresponding cell types in human fetal tissues. Additionally, we identified key transcription factors specific to different cell types. Our dataset provides a resource for investigating gene regulatory programs in a relevant model of human embryonic development.
A fine-grained dataset for sewage outfalls objective detection in natural environments
Authors: Tian Yuqing , Deng Ning , Xu Jie , Wen Zongguo
Published: July 2024

Pollution sources release contaminants into water bodies via sewage outfalls (SOs). Using high-resolution images to interpret SOs is laborious and expensive because it needs specific knowledge and must be done by hand. Integrating unmanned aerial vehicles (UAVs) and deep learning technology could assist in constructing an automated effluent SOs detection tool by gaining specialized knowledge. Achieving this objective requires high-quality image datasets for model training and testing. However, there is no satisfactory dataset of SOs. This study presents a high-quality dataset named the images for sewage outfalls objective detection (iSOOD). The 10481 images in iSOOD were captured using UAVs and handheld cameras by individuals from the river basin in China. This study has carefully annotated these images to ensure accuracy and consistency. The iSOOD has undergone technical validation utilizing the YOLOv10 series objective detection model. Our study could provide high-quality SOs datasets for enhancing deep-learning models with UAVs to achieve efficient and intelligent river basin management.
The prognostic value of the combined neutrophil-to-lymphocyte ratio (NLR) and neutrophil-to-platelet ratio (NPR) in sepsis
Authors: Zhang Yue , Peng Wang , Zheng Xiangrong
Published: July 2024

Sepsis is a severe disease characterized by high mortality rates. Our aim was to develop an early prognostic indicator of adverse outcomes in sepsis, utilizing easily accessible routine blood tests. A retrospective analysis of sepsis patients from the MIMIC-IV database was conducted. We performed univariate and multivariate regression analyses to identify independent risk factors associated with in-hospital mortality within 28 days. Logistic regression was utilized to combine the neutrophil-to-lymphocyte ratio (NLR) and the neutrophil-to-platelet ratio (NPR) into a composite score, denoted as NLR_NPR. We used ROC curves to compare the prognostic performance of the models and Kaplan–Meier survival curves to assess the 28 day survival rate. Subgroup analysis was performed to evaluate the applicability of NLR_NPR in different subpopulations based on specific characteristics. This study included a total of 1263 sepsis patients, of whom 179 died within 28 days of hospitalization, while 1084 survived beyond 28 days. Multivariate regression analysis identified age, respiratory rate, neutrophil-to-lymphocyte ratio (NLR), neutrophil-to-platelet ratio (NPR), hypertension, and sequential organ failure assessment (SOFA) score as independent risk factors for 28 day mortality in septic patients (P < 0.05). Additionally, in the prediction model based on blood cell-related parameters, the combined NLR_NPR score exhibited the highest predictive value for 28 day mortality (AUC = 0.6666), followed by NLR (AUC = 0.6456) and NPR (AUC = 0.6284). Importantly, the performance of the NLR_NPR score was superior to that of the commonly used SOFA score (AUC = 0.5613). Subgroup analysis showed that NLR_NPR remained an independent risk factor for 28 day in-hospital mortality in the subgroups of age, respiratory rate, and SOFA, although not in the hypertension subgroup. The combined use of NLR and NPR from routine blood tests represents a readily available and reliable predictive marker for 28 day mortality in sepsis patients. These results imply that clinicians should prioritize patients with higher NLR_NPR scores for closer monitoring to reduce mortality rates.
Impact of visual and textural characteristics of street walls on stress recovery
Authors: Zhang Nan , Zhao Lin , Shi Jin , Gao Weijun
Published: July 2024

Rapid urbanization increases psychological stress among pedestrians, potentially heightening mental health disorders. This study examines the role of street walls' visual and textural characteristics in stress recovery, using Qingdao as a case study. Virtual reality is employed to simulate five distinct street walls: yellow mortar, brown stone, red brick, green plant, and white mortar. The stress recovery effectiveness of these walls was evaluated through psychological and physiological indicators from 48 young college students. Results indicated that street walls with warm tones, particularly brown stone, significantly aid stress recovery. Psychologically, Restorative Components Scale was highest for brown stone at 1.13. Physiologically, it was linked with notable reductions in diastolic and pulse pressure (decreases of 2.95 mmHg and 2.27 mmHg, respectively), and enhanced parasympathetic activity, as evidenced by the fastest decrease in low frequency/high frequency ratio (LF/HF), and increases in pNN50 and RR (0.14–2.01% and 1.57–11.81 ms, respectively). For urban design, the incorporation of warm-toned materials and natural elements like stone is recommended for their superior restorative benefits.
Activation of PPAR-α attenuates myocardial ischemia/reperfusion injury by inhibiting ferroptosis and mitochondrial injury via upregulating 14-3-3η
Authors: Hu Tie , Yu Wen-peng , Wang Xiu-qi , Wang Zi-yao , Xu Zhi-qiang , Hu Fa-jia , Liu Ji-chun , Yu Fan , Wang Li-jun
Published: July 2024

This study aimed to explore the effects of peroxisome proliferator-activated receptor α (PPAR-α), a known inhibitor of ferroptosis, in Myocardial ischemia/reperfusion injury (MIRI) and its related mechanisms. In vivo and in vitro MIRI models were established. Our results showed that activation of PPAR-α decreased the size of the myocardial infarct, maintained cardiac function, and decreased the serum contents of creatine kinase-MB (CK-MB), lactate dehydrogenase (LDH), and Fe2+ in ischemia/reperfusion (I/R)-treated mice. Additionally, the results of H&E staining, DHE staining, TUNEL staining, and transmission electron microscopy demonstrated that activation of PPAR-α inhibited MIRI-induced heart tissue and mitochondrial damage. It was also found that activation of PPAR-α attenuated MIRI-induced ferroptosis as shown by a reduction in malondialdehyde, total iron, and reactive oxygen species (ROS). In vitro experiments showed that intracellular contents of malondialdehyde, total iron, LDH, reactive oxygen species (ROS), lipid ROS, oxidized glutathione disulphide (GSSG), and Fe2+ were reduced by the activation of PPAR-α in H9c2 cells treated with anoxia/reoxygenation (A/R), while the cell viability and GSH were increased after PPAR-α activation. Additionally, changes in protein levels of the ferroptosis marker further confirmed the beneficial effects of PPAR-α activation on MIRI-induced ferroptosis. Moreover, the results of immunofluorescence and dual-luciferase reporter assay revealed that PPAR-α achieved its activity via binding to the 14-3-3η promoter, promoting its expression level. Moreover, the cardioprotective effects of PPAR-α could be canceled by pAd/14-3-3η-shRNA or Compound C11 (14-3-3η inhibitor). In conclusion, our results indicated that ferroptosis plays a key role in aggravating MIRI, and PPAR-α/14-3-3η pathway-mediated ferroptosis and mitochondrial injury might be an effective therapeutic target against MIRI.
Numerical analysis for temporal and spectral responses of electromagnetic waves in spatially homogeneous time varying medium
Authors: Attiya Ahmed M. , Eldesouki Eman M.
Published: July 2024

This paper presents simple numerical solutions for electromagnetic plane waves in spatially homogenous time varying medium. The solution is based on converting the resulting second order differential equation into two combined ordinary differential equations which are solved numerically by using the built-in ode113 function in Matlab. By using this method, the time domain responses of the electric and magnetic fields at fixed point in space are obtained. The proposed method is applied on two cases: linearly time varying medium and sinusoidally time varying medium. The corresponding frequency domain response is obtained by using inverse Fourier transformation of the obtained time domain response. The proposed method is compared with FDTD solution. It is found that the proposed method has the same accuracy of FDTD with much less computational time.
Application of physics encoded neural networks to improve predictability of properties of complex multi-scale systems
Authors: Meinders Marcel B. J. , Yang Jack , Linden Erik van der
Published: July 2024

Predicting physical properties of complex multi-scale systems is a common challenge and demands analysis of various temporal and spatial scales. However, physics alone is often not sufficient due to lack of knowledge on certain details of the system. With sufficient data, however, machine learning techniques may aid. If data are yet relatively cumbersome to obtain, hybrid methods may come to the rescue. We focus in this report on using various types of neural networks (NN) including NN’s into which physics information is encoded (PeNN’s) and also studied effects of NN’s hyperparameters. We apply the networks to predict the viscosity of an emulsion as a function of shear rate. We show that using various network performance metrics as the mean squared error and the coefficient of determination ($$R^2$$

R
2

) that the PeNN’s always perform better than the NN’s, as also confirmed by a Friedman test with a p-value smaller than 0.0002. The PeNN’s capture extrapolation and interpolation very well, contrary to the NN’s. In addition, we have found that the NN’s hyperparameters including network complexity and optimization methods do not have any effect on the above conclusions. We suggest that encoding NN’s with any disciplinary system based information yields promise to better predict properties of complex systems than NN’s alone, which will be in particular advantageous for small numbers of data. Such encoding would also be scalable, allowing different properties to be combined, without repetitive training of the NN’s.
Geographic and economic influences on benralizumab prescribing for severe asthma in Japan
Authors: Kobayashi Nobuaki , Matsumoto Hiromi , Somekawa Kohei , Kaneko Ayami , Fukuda Nobuhiko , Muraoka Suguru , Ohtsu Yukiko , Hirata Momo , Nagasawa Ryo , Kubo Sousuke , Murohashi Kota , Fujii Hiroaki , Aoki Ayako , Watanabe Keisuke , Horita Nobuyuki , Hara Yu , Kaneko Takeshi
Published: July 2024

Benralizumab, a monoclonal antibody targeting IL-5 receptors, reduces exacerbations and oral corticosteroid requirements for severe, uncontrolled eosinophilic asthma. In Japan, geographic disparities in asthma outcomes suggest differential prescribing and access. This study aimed to quantify regional prescribing variations for benralizumab nationwide. Using Japan’s National Database (NDB) of insurance claims (2009–2019), benralizumab standardized claim ratios (SCRs) were calculated for 47 prefectures. Correlations between SCRs and other biologics’ SCRs, economic variables like average income, and physician densities were evaluated through univariate analysis and multivariate regressions. Income-related barriers to optimal prescribing were examined. Wide variation emerged in benralizumab SCRs, from 40.1 to 184.2 across prefectures. SCRs strongly correlated with omalizumab (r = 0.61, p < 0.00001) and mepolizumab (r = 0.43, p = 0.0024). Average monthly income also positively correlated with benralizumab SCRs (r = 0.45, p = 0.0016), whereas lifestyle factors were insignificant. Respiratory specialist density modestly correlated with SCRs (r = 0.29, p = 0.047). In multivariate regressions, average income remained the most robust predictor (B = 0.74, p = 0.022). Benralizumab SCRs strongly associate with income metrics more than healthcare infrastructure/population factors. Many regions show low SCRs, constituting apparent prescribing gaps. Access barriers for advanced asthma therapies remain inequitable among Japan’s income strata. Addressing affordability alongside specialist allocation can achieve better prescribing quality and asthma outcomes.
Exploration of the synergistic effect of chrysene-based core and benzothiophene acceptors on photovoltaic properties of organic solar cells
Authors: Shafiq Iqra , Kousar Shehla , Rasool Faiz , Ahamad Tansir , Munawar Khurram Shahzad , Bullo Saifullah , Ojha Suvash Chandra
Published: July 2024

To improve the efficacy of organic solar cells (OSCs), novel small acceptor molecules (CTD1–CTD7) were designed by modification at the terminal acceptors of reference compound CTR. The optoelectronic properties of the investigated compounds (CTD1–CTD7) were accomplished by employing density functional theory (DFT) in combination with time-dependent density functional theory (TD-DFT). The M06 functional along with a 6-311G(d,p) basis set was utilized for calculating various parameters such as: frontier molecular orbitals (FMO), absorption maxima (λmax), binding energy (Eb), transition density matrix (TDM), density of states (DOS), and open circuit voltage (Voc) of entitled chromophores. A red shift in the absorption spectra of all designed chromophores (CTD1–CTD7) was observed as compared to CTR, accompanied by low excitation energy. Particularly, CTD4 was characterized by the highest λmax value of 685.791 nm and the lowest transition energy value of 1.801 eV which might be ascribed to the robust electron-withdrawing end-capped acceptor group. The observed reduced binding energy (Eb) was linked to an elevated rate of exciton dissociation and substantial charge transfer from central core in HOMO towards terminal acceptors in LUMO. These results were further supported by the outcomes from TDM and DOS analyses. Among all entitled chromophores, CTD4 exhibited bathochromic shift (685.791 nm), minimum HOMO/LUMO band gap of 2.347 eV with greater CT. Thus, it can be concluded that by employing molecular engineering with efficient acceptor moieties, the efficiency of photovoltaic materials could be improved.
Dislocation response of ECC-RC composite supporting structures of tunnels passing through active fault
Authors: Wang Shunguo , Ding Zude , Shi Chenghua , Cai Haibing , Chen Yusheng , Ding Wenyun , Huang Juan
Published: July 2024

To address the problems of the conventional composite supporting structures (CCSSs) such as insufficient anti-dislocation performance and deformation capacity, this study used Engineered Cementitious Composite (ECC) lining sections instead of the traditional lining sections and optimized support design parameters, resulting in the development of novel ECC-RC composite supporting structures (ECSSs) of tunnels passing through active fault. The dislocation response characteristics and their parameter sensitivity of the ECSS was revealed by way of 1/25-scale fault dislocation model tests and finite element analysis. The test results show that the mechanical response characteristics and the failure modes of the CCSS and the ECSS are similar under reverse fault dislocation. Compared with the CCSS, the anti-dislocation performance of the ECSS is significantly improved by introducing of the ECC lining and optimizing the design parameters. The vertical deformation of the ECSS and the range of influence under the same dislocation are significantly decreased, and the strain are reduced to different degrees. This phenomenon shows that by improving the material properties, shortening the spacing of aseismatic joints and optimising the thickness of the shock absorption layer, the stress conditions and applicability under deformation of the structure are improved. The ECSS benefits from the crack resistance and toughening effect of fibres, the degree and scope of cracking of the ECSS are significantly reduced compared with those of the CCSS, and internal and external through cracks and local spalling are absent. The results of finite element analysis show that the overall damage degree of the ECSS is decreased and the damage range is increased by decreasing the strength of the surrounding rock in the fault zone. The fault dislocation response pattern of the ECSS varies depending on the fault type. The damage degree caused by different fault types follows the order of normal fault, strike-slip fault, and reverse fault from large to small. However, the damage range caused by the strike-slip fault is significantly larger compared to normal fault and reverse fault. In the design of fault resistance, the surrounding rock conditions of the fault zone and the form of fault dislocation should be considered.
Improving adjustment to daylight saving time transitions with light
Authors: Xu Mengzhu , Papatsimpa Charikleia , Schlangen Luc , Linnartz Jean-Paul
Published: July 2024

Daylight saving time (DST) is currently utilized in many countries with the rationale that it enhances the alignment between daylight hours and activity peaks in the population. The act of transitioning into and out of DST introduces disruptions to the circadian rhythm, thereby impacting sleep and overall health. Despite the substantial number of individuals affected, the consequences of this circadian disruption have often been overlooked. Here, we employ a mathematical model of the human circadian pacemaker to elucidate how the biological clock interacts with daytime and evening exposures to both natural and electrical light. This interaction plays a crucial role in determining the adaptation to the 1 hour time zone shift imposed by the transition to or from DST. In global discussions about DST, there is a prevailing assumption that individuals easily adjust to DST transitions despite a few studies indicating that the human circadian system requires several days to fully adjust to a DST transition. Our study highlights that evening light exposure changes can be the main driving force for re-entrainment, with chronobiological models predicting that people with longer intrinsic period (i.e. later chronotype) entrain more slowly to transitions to or from DST as compared to people with a shorter intrinsic period (earlier chronotype). Moreover, the model forecasts large inter-individual differences in the adaptation speed, in particular during the spring transition. The predictions derived from our model offer circadian biology-based recommendations for light exposure strategies that facilitate a more rapid adaptation to DST-related transitions or travel across a single time zone. As such, our study contributes valuable insights to the ongoing discourse on DST and its implications for human circadian rhythms.
Fluctuation of fine motor skills throughout the menstrual cycle in women
Authors: Ikarashi Koyuki , Sato Daisuke , Edama Mutsuaki , Fujimoto Tomomi , Ochi Genta , Yamashiro Koya
Published: July 2024

The effect of the menstrual cycle on fine motor skills is unclear. This study determined whether the menstrual cycle affected fine motor skills and related neural activities. Nineteen women with regular menstrual cycles were tested for fine motor skills using two types of tasks: grooved pegboard task (GPT), which evaluates motor control with high freedom of movements, and force modulation task (FMT), which evaluates more complex and fine motor control with low freedom of movements. We also assessed primary motor cortex intracortical circuits and sensorimotor integration using paired-pulse transcranial magnetic stimulation to reveal why the menstrual cycle affects fine motor skills. The present study indicated that fine motor skills assessed by FMT varied throughout the menstrual cycle while those measured by GPT did not. These results suggest that fine motor skills requiring more complex and fine control may be affected by the menstrual cycle. Additionally, changes in fine motor skills throughout the menstrual cycle may be associated with the severity of menstruation-related symptoms.
Experimental study on seismic characteristics of slope supported by long-short composite anti-slide piles
Authors: Lai Jie , Liu Yun , Liu Yuan , Jiangbo Xu
Published: July 2024

In this study, a shaking table test was conducted on long-short composite anti-slide piles, the development process and dynamic response of cracks in a pile-supported slope were observed, and the failure mechanism of the slope was explored. The experiment showed that the failure of the pile-supported slope under an earthquake was a gradual process; cracks first occur at the top of the slope, where the support action of the piles was weak. As the input seismic action increased, cracks developed downwards along the slope. Owing to the support effect of the long-short anti-slide composite piles, the transmission path of the cracks changed, and the cracks developed along the top of the composite piles, ultimately leading to overtop failure. When cracks appeared on the slope or near final failure, the acceleration response law of the supported slope undergone a sudden change, which was an important indicator of slope instability. The distribution of dynamic soil stress on the pile body was greatly affected by the input peak ground acceleration, and the maximum bending moment of the long-short composite anti-slide piles was located near the weak interlayer.
Certain investigation on hybrid neural network method for classification of ECG signal with the suitable a FIR filter
Authors: Jayaraman Rajendiran Dinesh Kumar , Ganesh Babu C. , Priyadharsini K. , Karthi S. P.
Published: July 2024

The Electrocardiogram (ECG) records are crucial for predicting heart diseases and evaluating patient’s health conditions. ECG signals provide essential peak values that reflect reliable health information. Analyzing ECG signals is a fundamental technique for computerized prediction with advancements in Very Large-Scale Integration (VLSI) technology and significantly impacts in biomedical signal processing. VLSI advancements focus on high-speed circuit functionality while minimizing power consumption and area occupancy. In ECG signal denoising, digital filters like Infinite Impulse Response (IIR) and Finite Impulse Response (FIR) are commonly used. The FIR filters are preferred for their higher-order performance and stability over IIR filters, especially in real-time applications. The Modified FIR (MFIR) blocks were reconstructed using the optimized adder-multiplier block for better noise reduction performance. The MIT-BIT database is used as reference where the noises are filtered by the MFIR based on Optimized Kogge Stone Adder (OKSA). Features are extracted and analyzed using Discrete wavelet transform (DWT) and Cross Correlation (CC). At this modern era, Hybrid methods of Machine Learning (HMLM) methods are preferred because of their combined performance which is better than non-fused methods. The accuracy of the Hybrid Neural Network (HNN) model reached 92.3%, surpassing other models such as Generalized Sequential Neural Networks (GSNN), Artificial Neural Networks (ANN), Support Vector Machine with linear kernel (SVM linear), and Support Vector Machine with Radial Basis Function kernel (SVM RBF) by margins of 3.3%, 5.3%, 23.3%, and 24.3%, respectively. While the precision of the HNN is 91.1%, it was slightly lower than GSNN and ANN but higher than both SVM linear and SVM -RBF. The HNN with various features are incorporated to improve the ECG classification. The accuracy of the HNN is switched to 95.99% when the DWT and CC are combined. Also, it improvises other parameters such as precision 93.88%, recall is 0.94, F1 score is 0.88, Kappa is 0.89, kurtosis is 1.54, skewness is 1.52 and error rate 0.076. These parameters are higher than recently developed models whose algorithms and methods accuracy is more than 90%.
Biochemical indicators, cell apoptosis, and metabolomic analyses of the low-temperature stress response and cold tolerance mechanisms in Litopenaeus vannamei
Authors: Zhu Weilin , Li Qiangyong , Peng Min , Yang Chunling , Chen Xiuli , Feng Pengfei , Liu Qingyun , Zhang Bin , Zeng Digang , Zhao Yongzhen
Published: July 2024

The cold tolerance of Litopenaeus vannamei is important for breeding in specific areas. To explore the cold tolerance mechanism of L. vannamei, this study analyzed biochemical indicators, cell apoptosis, and metabolomic responses in cold-tolerant (Lv-T) and common (Lv-C) L. vannamei under low-temperature stress (18 °C and 10 °C). TUNEL analysis showed a significant increase in apoptosis of hepatopancreatic duct cells in L. vannamei under low-temperature stress. Biochemical analysis showed that Lv-T had significantly increased levels of superoxide dismutase (SOD) and triglycerides (TG), while alanine aminotransferase (ALT), alkaline phosphatase (ALP), lactate dehydrogenase (LDH-L), and uric acid (UA) levels were significantly decreased compared to Lv-C (p < 0.05). Metabolomic analysis displayed significant increases in metabolites such as LysoPC (P-16:0), 11beta-Hydroxy-3,20-dioxopregn-4-en-21-oic acid, and Pirbuterol, while metabolites such as 4-Hydroxystachydrine, Oxolan-3-one, and 3-Methyldioxyindole were significantly decreased in Lv-T compared to Lv-C. The differentially regulated metabolites were mainly enriched in pathways such as Protein digestion and absorption, Central carbon metabolism in cancer and ABC transporters. Our study indicate that low temperature induces damage to the hepatopancreatic duct of shrimp, thereby affecting its metabolic function. The cold resistance mechanism of Lv-T L. vannamei may be due to the enhancement of antioxidant enzymes and lipid metabolism.
Anxiety and sleep quality in patients receiving maintenance hemodialysis: multiple mediating roles of hope and family function
Authors: Wang Guoqing , Yi Xiang , Fan Hui , Cheng Huiling
Published: July 2024

The objective of this cross-sectional study was to examine the extent of sleep quality among individuals undergoing maintenance hemodialysis (MHD) and to scrutinize whether hope and family function serve as mediators in the association between anxiety and sleep quality in this cohort. A convenience sampling method was used to recruit 227 patients receiving maintenance hemodialysis from two tertiary hospitals in Wuhan. Participants completed several self-report questionnaires, including the Sociodemographic questionnaire, Hospital Anxiety and Depression Scale, Athens Insomnia Scale, Herth Hope Index, and Family APGAR Index. As per the findings of the chain mediation analysis, it was observed that the sleep quality scores were directly predicted by anxiety. Moreover, anxiety positively predicted sleep quality scores through hope and family function as mediators. The observed types of mediation were partial mediation. The total indirect effect value was 0.354, indicating the mediating effect of hope and family function, while the total effect value was 0.481, representing the overall effect of anxiety on sleep quality. The total effect size was 73.60% (0.354/0.481), indicating that the mediation accounted for a significant portion of the relationship. This study established the chain mediating effect of hope and family function between anxiety and sleep quality in patients receiving maintenance hemodialysis. The findings highlight the importance of addressing anxiety and promoting hope and family function to improve sleep quality in this population. The findings suggest that healthcare professionals should be attentive to the anxiety levels of these patients and implement targeted interventions to help alleviate anxiety, enhance hope, and improve family functioning, with the ultimate goal of improving sleep quality in this population.
Development and validation of the MultiScent-20 digital odour identification test using item response theory
Authors: Nakanishi Marcio , Brandão Pedro Renato de Paula , Freire Gustavo Subtil Magalhães , Vinha Luis Gustavo do Amaral , Fornazieri Marco Aurélio , Anselmo-Lima Wilma Terezinha , Assis Pereira Danilo , Campos de Sousa Gustavo Henrique , Galvão Claudia , Hummel Thomas
Published: July 2024

Although validated and reliable psychophysical tests of olfactory function are available, an easy-to-use and feasible test has yet to be developed. This study aimed to design a digital odour identification test, evaluate its validity, assess its reliability, establish a normative curve, and explore the impact of demographic factors. The odour identification test was presented with the Multiscent-20, a hand-held, tablet-like digital scent device that features an integrated odour digital delivery system. The identification performance on the 20 odours was assessed using item response theory (IRT). The normative curve was established by administering the test to a large sample of participants (n = 1299). The mean identification score was 17.5 (SD = 2.1). The two-parameter logistic IRT model provided the best fit, revealing variation in item discrimination and difficulty parameters. Educational attainment influenced performance, with primary education associated with lower scores. Additionally, sex was not found to be associated with performance. This study provides initial evidence supporting the validity and reliability of use of the Multiscent-20 as a digital odour identification test. The test’s automation and portability enable the standardized delivery of olfactory stimuli and efficient automatic recording and scoring of responses.