bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of public leadership on collaborative administration and public health delivery
Authors: din Muhammad Zia ud , yuan Xu Yuan , khan Naqib ullah 
Published: September 2023

Abstract

Background:This research depicts the linkage of public leadership on public health delivery (PHD) and collaborative administration. The research is also focused to examine the effect of public leadership on public health delivery through the intervening variable of collaborative administration by using both social information processing theory and collaboration theory.Methods:This research is based on quantitative method. Data was collected from 464 public hospital administration in the context of Pakistan. This study evaluated data using SPSS, AMOS and PROCESS Macro.Results:Public leadership has a positive profound effect on public health delivery and collaborative administration, and that collaborative administration significantly promotes public health delivery. The outcomes also exposed that public leadership has substantial influence on public health delivery through intervening collaborative administration.Conclusions:Whilst public leadership demonstrated positive outcomes on public health delivery and collaborative administration, there is a need for more rigor studies on collaborative governance leadership, collaborative ethics and collaborative norms in the public health service.
Poria acid alleviates oxidative damage in mice with dry age-related macular degeneration by activating the Nrf2/HO-1 signaling pathway
Authors: Qin Chengyao , Chen Xi , Hu Tianming , Sun Wenxiu , Liu Zehao , Li Min , Wei Wei , Shao Yan 
Published: September 2023

Abstract
Background
Poria acid (PA) extracted from the traditional Chinese medicinal herb Poria cocos (P cocos) is reported to protect organs such as the liver and lungs from damage. However, its effect on dry age-related macular degeneration (AMD) has not been reported. This research is to investigate the influence of PA on oxidative stress of the retina in vivo and in vitro.
Methods
In vitro, the viability of ARPE-19 cells was measured by the MTT. The apoptosis of the cells was detected by Flow cytometry and the expression of Caspase-3, Bax, and Bcl2. The oxidative stress level was evaluated by observing the production of reactive oxygen species (ROS) in vitro and superoxide dismutase (SOD), CAT, and GSH-px by ELISA in mice serum. The AMD model was induced by intravenous injection of sodium iodide (SI) through the tail vein of mice. The structure and the apoptosis of the mouse retina were monitored by optical coherence tomography (OCT), H&E, and TUNEL staining. The regulatory oxidative factor NRF2 and HO-1 were determined by fluorescence staining. ML385 and ZnPP were used for the exploration of the protective mechanism of PA.
Results
H2O2 decreased the cell viability of RPE cells, and was recovered after PA administration, which was shown to reduce the cell apoptosis rate as well as the expression of Bax, caspase-3, and the production of ROS. In vivo, the thinning of the retina and the apoptosis rate in the retina tissue of mice caused by the injection of SI is reversed by the treatment of PA. further, the PA administration caused translocation of Nrf2 and increased the expression of HO-1, and the application of their inhibitors inhibit the effect.
Conclusion
PA protects retinal pigment epithelial (RPE) cells from oxidative stress and apoptosis by activating the NRF2/HO-1 pathway and prevents retinal damage by halting the progression of retinal thinning in mice, which indicating its clinical therapeutic potential in treating AMD.
The Influence of Admission Body Temperature on Prognosis in Sepsis Patients: an analysis from the MIMIC-IV database
Authors: Lu Honglei , Chen Lei , Lv ChenWei , Ni Haibin , Hu Xingxing , Yu Renjun 
Published: September 2023

Abstract
Background This study aimed to investigate the correlation between the mean body temperature during the initial 24 hours of admission and clinical outcomes in septic patients admitted to the Intensive Care Unit (ICU).
Methods This retrospective observational study was conducted using data from the MIMIC-IV (v1.0) database. We extracted the average body temperature of patients with sepsis within the first 24 hours of admission to the Intensive Care Unit (ICU), along with other pertinent clinical data and hospitalization outcomes. To analyze the impact of body temperature on clinical outcomes, patients were categorized into low-temperature, normal, and hyperthermia groups based on different body temperature ranges. To minimize confounding effects, propensity score matching (PSM) was employed, ensuring comparability between the groups. The relationship between abnormal body temperature at admission and clinical outcomes was explored using univariate analysis and logistic regression models to derive robust conclusions.
Results A total of 19,074 patients were included in the analysis. After adjusting for confounding factors, hypothermia (<36°C) was found to be significantly associated with higher 28-day all-cause mortality (35.27% vs. 14.08%), in-hospital mortality (37.21% vs. 15.37%), and ICU mortality (32.04% vs. 10.98%) when compared to the normal body temperature group (p < 0.05). Conversely, the hyperthermia group exhibited a significantly weaker correlation with clinical outcomes than the hypothermia. These results remained robust even after adjusting for confounding factors between the groups.
Conclusion Our study suggests that a hypothermia within the initial 24 hours of admission to the ICU is significantly linked to increased mortality in patients with sepsis, whereas hyperthermia does not exhibit a similar association. Enhancing temperature monitoring during the first 24 hours after admission and avoiding overly aggressive temperature control could prove vital in improving clinical outcomes for sepsis patients.
Occupational Exposures in Commercial Laundry and Dry Cleaning Industries and their Associative Cancers: A Scoping Review
Authors: Landskroner Emma , Tsai Candace Su-Jung 
Published: September 2023

Abstract
Background
The laundry and dry cleaning industries are critical for maintaining cleanliness and hygiene in our daily lives. However, these industries have also been identified as sources of hazardous chemical exposure for workers, leading to potentially severe health implications. Despite mounting evidence that solvents like perchloroethylene and trichloroethylene are carcinogenic to humans, they remain the most commonly used solvents in the industry. In addition, while alternative solvents are increasingly being utilized in response to evidence of adverse health and environmental effects, there remains a significant gap in our understanding of the potential risks associated with exposure to these new agents.
Methods
A systematic scoping review was conducted to identify prevalent toxic substances in the commercial laundry and dry cleaning industries that workers are exposed to and, further, to identify gaps in the existing literature regarding those exposures and related cancer development. Reported study exposure values were compared with current occupational exposure limits and biological exposure indices.
Results
Most studies examined perchloroethylene exposure in the dry cleaning industry, with one notable finding being that genotoxic effects were found even below current occupational exposure limits. Separate studies on TCE and benzene presented varied exposure levels and health risks, raising concern due to their IARC Group 1 carcinogen classification. Lastly, data on alternative solvents was limited, with a lack of health outcome data and gaps in their exposure guidelines and carcinogenic classifications.
Conclusion
A gap in research exists regarding health outcomes, particularly cancer development, from solvent exposure in the dry cleaning industry. Most studies (66%) overlooked health implications, especially for emerging solvents. Further, results showed potential DNA damage from the established solvent, perchloroethylene, even below current occupational exposure limits, emphasizing the need to reevaluate safety limits. As alternative solvents like butylal and high-flashpoint hydrocarbons become more prevalent, investigations into the effects of their exposure are necessary to safeguard workers' health. This scoping review is registered with the Open Science Framework, registration DOI: https://doi.org/10.17605/OSF.IO/Q8FR3
Silanized modified cellulose: Preparation and evaluation of O/W
Authors: Liu Wanyi , Fan Rong , Wang Wenxue , Liu pengtao 
Published: September 2023

Abstract
Cellulose nanofibrils (CNFs) are ideal Pickering emulsion stabilizers, but they have limitations due to their strong hydrophilicity. In this work, modified CNFs (M-CNFs) with a water contact angle of 93.1±0.6° were successfully prepared by methyl trimethoxysilane. Subsequently, the performance of the M-CNFs was characterized by crystallization performance determination (XRD), Fourier transform infrared spectra (FTIR), particle size determination, thermogravimetric analysis and so on. As well as, the O/W Pickering emulsions prepared with M-CNFs as a stabilizer has good performance in the diameter and particle size distribution, most droplet sizes can be maintained within 5μm, and unimodal distribution was presented. It can show more stable performance under medium and alkaline conditions (pH=7-11), and has certain anti-ion ability. Thus, this study has potential applications in coating, paint, sewage treatment and other fields.
Multimodal Transformer for Bearing Fault Diagnosis: A New Method Based on Frequency-Time Feature Decomposition
Authors: Li Kai , Wang Chen , Wu Haiyan 
Published: September 2023

Abstract
Bearing fault diagnosis technology enables early detection of faults and prevention of potential equipment failures. To fully utilize signal data, this paper introduces an innovative diagnostic model named Frequency-Time Multimodal Transformer (FTM-Transformer). It constructs two-dimensional frequency feature data and one-dimensional time-domain feature data, and incorporates a multimodal information fusion module comprehensively exploit the distinctive features of different modes of signals, thereby enhancing fault diagnosis accuracy. The FTM-Transformer model utilizes Multivariate Decomposition for Time and Frequency Features (MDTF) as the feature extraction module to analyze vibration signals from multiple sensors. MDTF employs Multivariate Variational Mode Decomposition (MVMD) to decompose the vibration signals into Intrinsic Mode Functions (IMFs) and applies the Discrete Wavelet Transform (DWT) to extract feature maps of these IMFs, while also analyzing statistical time-domain features of the IMFs to form feature vectors. Building upon this foundation, the FTMTransformer module is designed to effectively integrates the frequency-domain feature maps and time-domain feature vectors using a deep Transformer model. Experimental results on the bearing fault dataset from Case Western Reserve University demonstrate that the FTM-Transformer model achieves remarkable diagnostic accuracy, significantly outperforming traditional models such as Vision Transformer (ViT) and ResNet. Furthermore, transfer testing on the gear dataset from Southeast University validates the adaptability of the diagnostic model to other application scenarios, showcasing its superior performance. The proposed MDTF and FTM-Transformer methods offer a novel and effective solution to bearing fault diagnosis, contributing to improved equipment reliability and maintenance efficiency in various industrial applications.
Adipocytes play an etiological role in renal tubular epithelial cells of db/db mice
Authors: Wang Jiali , li Yuanyuan , Cao Fangfang , Yang Pei 
Published: September 2023

Abstract
Obesity is an independent risk factor for the development of diabetic nephropathy (DN). Obesity, type 2 diabetes, and kidney damage interact with each other. Recent studies have shown that adipokines are closely related to the occurrence and development of DN, and are potential targets for treatment and prevention of complications. However, the potential interaction between adipocytokines and renal injury remains unclear. We investigated the mechanisms linking adipose tissue to DN. We assessed fat and renal functions in db/db and wild-type mice, and the effects of adipocyte-conditioned medium on cultured tubular epithelial cells. Mice were used to analyze changes in plasma BUN, creatinine, urine protein, and renal histology. Additionally, tubular epithelial cells were incubated with adipocyte-conditioned medium to investigate the effects on tubular epithelial cell apoptosis.
Genome-wide identification of trehalose-6-phosphate synthase (TPS) gene family reveals the potential role in carbohydrate metabolism in peach
Authors: Fan Shihao , Wang Zhe , Xiao Yuansong , Liang Jiahui , Zhao Shilong , Liu Yihua , Guo Jian , Peng Futian 
Published: September 2023

Abstract
Background: Trehalose-6-phosphate synthase (TPS) is essential for plant growth and development, linking trehalose-6-phosphate (T6P) to carbon metabolism. However, little is known about the TPS gene family in peach and their potential roles in regulating carbohydrates in peach fruit.
Results: In this study, 9 TPS genes were identified in peach genome and named according to the homologous genes in Arabidopsis. Phylogenetic analysis showed that three subfamilies were identified, including TPSI, TPSII-1 and TPSII-2, which were also consistent with gene structure analysis. Considerable cis-elements were enriched in the promoters, including plant hormone related elements. Tissue specific analysis showed that these TPS genes were mainly expressed in leaf, stem and fruit, showing different expression patterns for each gene. In addition, during fruit development, the content of T6P was positively correlated with the expression of PpTPS7a and negatively with SnRK1 enzyme activity. Transient overexpression and silencing of PpTPS7ain peach fruit validated its function in regulating T6P content and SnRK1 activity.
Conclusions: The identified TPS genes and the potential function in regulating SnRK1 provide insights into carbohydrate metabolism in peach fruit.
Study on Coalbed Methane Extraction Mode of Cracked Soft Coal Seam with Sectional Hydraulic Fracturing in the Rock of Coal Seam Roof
Authors: WANG Bo , HOU Enke , MA Liang , DU Tianlin , CHEN Chongfen , YANG Jianchao 
Published: September 2023

Abstract
A coalbed methane extraction model using sectional hydraulic fracturing in the rock of the coal seam roof has been proposed to effectively manage soft, low-permeability coal seams in the Huaibei mining zone. The model utilizes stress-seepage-damage coupling to simulate the hydraulic fracturing process and the resulting fracture propagation. Numerical simulations have demonstrated that cracks in the rock of the roof can extend to the coal seam, allowing for effective extraction of coalbed methane.Physical similarity simulations were conducted to verify the effectiveness of the proposed sectional hydraulic fracture method. The results showed that hydraulic fractures could develop in the roof rock both vertically and downwards, penetrating the soft and fractured coal seam. Productivity simulations were then used to analyze the efficiency of coalbed methane extraction and determine the optimal number of fracturing stages. The best drainage effect was achieved with a fracture spacing of 72~83 m.Engineering verification experiments were conducted, confirming the effectiveness of the sectional hydraulic fracture method for coalbed methane extraction in the Huaibei mining area where the coal is soft, cracked, and has weak permeability. Overall, the proposed method provides an effective solution for the extraction of coalbed methane from low-permeability, soft coal seams, with potential to benefit the energy industry in the Huaibei mining zone and beyond.
Global, regional, and national burdens of hepatitis B-associated cirrhosis in children and adolescents from 1990 to 2019 and joinpoint regression
Authors: Huang Chenyang , Wu Yaxin , Ji Dong , Wang Fu-sheng 
Published: September 2023

Abstract
Background: The global burden of hepatitis B-associated cirrhosis in children and adolescents must be understood and investigated.
Methods: The incidence, prevalence, and disability-adjusted life years (DALYs) were extracted from the GBD database, and calculations were performed at global, regional, and national level. The joinpoint model was used to calculate the annual percentage change (APC) and annual average percentage change (AAPC).
Findings: Globally, the prevalence of children and adolescents with hepatitis B-associated cirrhosis decreased from 125,053.98 × 10^3 in 1990 to 46,400.33 × 10^3 in 2019. Compared with 1990, the incidence of cirrhosis increased in low (95.51%) and low-middle SDI areas (26.47%), whereas it decreased in other SDI areas. The AAPC of prevalence has increased in low-middle SDI areas (AAPC 0.12 [95% CI: 0.04– 0.20]). At the regional level, the East Asia region has experienced the largest reduction. Conversely, Western Sub-Saharan Africa was the most serious region. Notably, South Asia was the only region where the AAPC of cirrhosis incidence (AAPC 0.77 [95% CI: 0.68–0.86]) increased.
Conclusions: Globally, the overall burden of hepatitis B-associated cirrhosis in children and adolescents has declined significantly, but the number of cirrhosis cases in low-middle and low-SDI areas has increased. The incidence in South Asia is rising, and the burden on Africa remains serious. Prevention and treatment of hepatitis B-associated cirrhosis in children and adolescents should not be ignored.
Identification of lymphophilic subtype in resectable esophageal squamous cell carcinoma using genetic signatures from large-scale genomic repertoires
Authors: Li Yin , Kang Xiaozheng , Wan Zhiyi , Zhang Ruixiang , Zhang Enli , Wang Zhen , Zheng Qingfeng , Chen Xiankai , Li Yong , Qin Jianjun , Xue Qi , Gao Shugeng , He Jie 
Published: September 2023

Abstract
BACKGROUND: Driven by efforts to balance oncologic outcomes and perioperative morbidity, the individualized surgical management of oesophageal cancer (EC) lymph node metastases is evolving away from systemic lymph node dissections. Creating personalized treatment plans could become problematic when no genetic tests are available to detect aggressive tumors before surgery.METHODS: This cohort study was performed on 564 oesophageal squamous cell carcinoma (ESCC) patients across six next-generation sequencing studies. The genomic classifier for nodal metastasis risk prediction was generated by the least absolute shrinkage and selection operator (LASSO) logistic regression analysis with 10-fold cross-validation based on the selected different genes. Receiver operating characteristic (ROC) analysis was used to assess the performance of the classification model.RESULTS: After excluding three patients with missing lymph node status, a total of 561 ESCC patients met the inclusion criteria: 335 (59.7%) with nodal-positive (NP) and 226 (40.3%) with nodal-negative (NN). Feature selection identified 112 mutated genes to predict patients with NP versus NN. The LASSO model identified NP patients with an accuracy of 86.45% and an area under the ROC curve (AUC) of 0.95.CONCLUSIONS: Using molecular profiling to identify lymphophilic ESCC is feasible for creating personalized surgical plans in clinical decision-making.
Linking ATP and allosteric sites to achieve superadditive binding with bivalent EGFR kinase inhibitors
Authors: Heppner David , Wittlinger Florian , Ogboo Blessing , Shevchenko Ekaterina , Damghani Tahereh , Pham Calvin , Schaeffner Ilse , Oligny Brandon , Chitnis Surbhi , Beyett Tyler , Rasch Alexander , Buckley Brian , Urul Daniel , Shaurova Tatiana , May Earl , Schaefer Erik , Eck Michael , Hershberger Pamela , Poso Antti , Laufer Stefan 
Published: September 2023

Abstract
Bivalent molecules consisting of groups connected through bridging linkers often exhibit strong target binding and unique biological effects. However, developing bivalent inhibitors with the desired activity is challenging due to the dual motif architecture of these molecules and the variability that can be introduced through differing linker structures and geometries. We report a set of alternatively linked bivalent EGFR inhibitors that simultaneously occupy the ATP substrate and allosteric pockets. Crystal structures show that initial and redesigned linkers bridging a trisubstituted imidazole ATP-site inhibitor and dibenzodiazepinone allosteric-site inhibitor proved successful in spanning these sites. The re-engineered linker yielded a compound that exhibited significantly higher potency (~60 pM) against the drug-resistant EGFR L858R/T790M and L858R/T790M/C797S, which was superadditive as compared with the parent molecules. The enhanced potency is attributed to factors stemming from the linker connection to the allosteric-site group and informs strategies to engineer linkers in bivalent agent design.
Serum PRO-C3 is useful for risk prediction and fibrosis assessment in MAFLD with chronic kidney disease
Authors: Tang Liang-Jie , Sun Dan-Qin , Song Sherlot Juan , Yip Terry Cheuk-Fung , Wong Grace Lai-Hung , Zhu Pei-Wu , Chen Sui-Dan , Karsdal Morten , Leeming Diana Julie , Jiang Pei , Wang Cong , Chen Qiang , Byrne Christopher , Targher Giovanni , Eslam Mohammed , George Jacob , Wong Vincent Wai-Sun , Zheng Ming-Hua 
Published: September 2023

Abstract
Background: Metabolic dysfunction-associated fatty liver disease (MAFLD) is one of the important factors associated with chronic kidney disease (CKD), and there are many similarities between the two in adverse outcomes. N-terminal propeptide of collagen type 3 (PRO-C3), as a biomarker of advanced fibrosis in MAFLD, may also predict the risk of future MAFLD with chronic kidney disease (MLKD) development.
Methods: A derivation and independent validation cohort of 750 and 129 Asian patients with biopsy-confirmed MAFLD were included. PRO-C3 concentration was measured and regression analyses were used to determine associations with MLKD. A derivative algorithm for MLKD risk prediction was evaluated with receiver operator characteristic (ROC) curve analysis.
Results: The study included two Asian cohorts (MLKD: n=180; mean eGFR: 94.93 ml/min/1.73m2; median ACR: 6.58 mg/mmol). PRO-C3 was associated with the severity of MLKD and independently correlated to MLKD (adjusted odds ratio =1.16, 95% confidence interval [CI]: 1.08-1.23, P<0.001). A new non-invasive score (named PERIOD) that included PRO-C3 predicted MLKD (AUROC of 0.842, 95% CI: 0.805-0.875); its accuracy, specificity, and negative predictive values were 80.2%, 85.1%, and 88.4%, respectively. In the validation cohort, the PERIOD score had good diagnostic performance (AUROC=0.807, 95% CI: 0.691-0.893) with similar results in all subgroups. In the MLKD subgroup, the accuracy for identifying advanced liver fibrosis was further improved by combining the PRO-C3-based ADAPT score with the Agile 3+ score (AUROC=0.90, 95% CI: 0.836-0.964, PPV=0.97).
Conclusions: PRO-C3 and the PERIOD score is useful for accurately predicting the risk of MLKD. PRO-C3 can also be used as a marker for assessing liver fibrosis in MLKD patients.