bluuebunny/crossref_metadata_2025_split huggingface dataset:
Applicability assessment and simplified calculation method of thermal indices in RayMan
Authors: QI CHEN , WANG HUA , MIN JINGJING , DONG YAN 
Published: November 2023

Abstract
Many thermal indices have been proposed for quantitative descriptions of human thermal perception over the past century to meet the strong demand in applied science. Meanwhile, developing the RayMan model provides a great interactive platform to calculate newly developed thermal indices. In this paper, we first used hourly meteorological observation data from national stations in Beijing from 2019 to 2021 to find the thermal indices applicable to the comfort evaluation of Beijing among the RayMan outputs. Using the UTCI and PT output from the RayMan model to evaluate the comfort level in Beijing, the results show that most of the time in winter, dominated by cold thermal perception, hot thermal perception appeared at an increased time in summer, and comfortable level dominated in spring and fall, which is consistent with seasonal changes of thermal perception in Beijing. Second, using the particular observation data from Daxing station in 2022, it is verified that RayMan outputs UTCI are consistent with the results calculated by the globe-thermometer method under most weather conditions. Finally, based on feature engineering and multi-model optimal parameter comparison, we used multi-layer perceptron for regression algorithm to build the UTCI and PT calculation models with reproduction errors less than or equal to 1°C of more than 93% and 95%, respectively. These models can calculate the thermal indices at different locations or time scales in Beijing, using station or grid meteorological observation or forecast data as inputs to meet different demands in applied science.
ARD-Net: Alligator gar real-time detection network model
Authors: Wang Xin , Shi Wei 
Published: November 2023

Abstract

When using advanced detection algorithms to monitor alligator gar in real-time in wild waters, the efficiency of existing detection algorithms is subject to certain limitations due to turbid water quality, poor underwater lighting conditions, and obstruction by other objects. In order to solve this problem, we developed a lightweight real-time detection network model called ARD-Net, from the perspective of reducing the amount of calculation and obtaining more feature map patterns. We introduced a cross-domain grid matching strategy to accelerate network convergence, and combined the involution operator and dual-channel attention mechanism to build a more lightweight feature extractor and multi-scale detection reasoning network module to enhance the network’s response to different semantics. Compared with the yoloV5 baseline model, our method performs equivalently in terms of detection accuracy, but the model is smaller, the detection speed is increased by 1.48 times, and has good real-time performance. Additionally, we created a dataset of alligator gar images for training.
Analysis of Acceleration Signal of Field-Structure Seismological Networks and Assessment of Far-field Earthquake Action in Shanghai
Authors: Ren Xiaosong , Wang Zeya , Ren Guang-Zhen , Zong Gang 
Published: November 2023

Abstract
The monitoring acceleration signal of field and structure is the first-hand data for assessment of earthquake action. Two field-structure seismological networks were set on different campuses of Tongji University and were put on the top floor of two tall buildings along with the field nearby. A 21-story steel-concrete composite structure and a 14-story reinforced concrete structure of two seismological networks are the tallest buildings on the two campuses. Twenty-three far-field earthquake records were obtained from October 2020 to January 2023. In this paper, the monitoring acceleration signals of the field and structure were analyzed. The actual measured amplification coefficient of the monitored structure was obtained according to the ratio of the peak value of structure signal and the ground signal, and compared with the actual response spectrum of the structure. Based on the statistical analysis of effective peak ground acceleration, the future peak level of far-field ground acceleration was obtained. The response spectrum of 5% damping ratio was obtained and found to be larger than the design spectrum curve. Corresponding to intersection point of two major regions of the spectrum curve, the characteristic period was longer than the value of 0.9s in the design code. And the spectrum curve spikes at a period of about 2.5s in the decline region. All these demonstrates double peak before and after the characteristic period in the response amplification spectrum curve, which was the basic features of the far-field earthquake action of two seismological networks. The spike of the spectrum curve in the long-period region means the amplification of long-period components in the earthquake signal. It is caused by the deep saturated covering layer in Shanghai and should be paid more attention to, especially for highly flexible structures.
The Impact of Liver Resection Volume on Pancreatic Function: Novel Insights into Acute Liver-Pancreas Crosstalk After Hepatectomy
Authors: Wakiya Taiichi , Sakuma Yasunaru , Onishi Yasuharu , Sanada Yukihiro , Okada Noriki , Hirata Yuta , Horiuchi Toshio , Omameuda Takahiko , Takadera Kiichiro , Sata Naohiro 
Published: November 2023

Abstract
The liver and pancreas work together to recover homeostasis after hepatectomy. This study aimed to investigate the effect of liver resection volume on the pancreas. We collected clinical data from 338 living liver donors. They were categorized into left lateral sectionectomy (LLS), left lobectomy, and right lobectomy (RL) groups. Serum pancreatic enzymes were compared among the groups. Serum amylase values peaked on postoperative day (POD) 1. Though they quickly returned to preoperative levels on POD 3, 45% of cases showed abnormal values on POD 7 in the RL group. Serum lipase levels were highest at POD 7. Lipase values increased 4.2-fold on POD 7 in the RL group and 80% of cases showed abnormal values. The RL group’s lipase was twice that of the LLS group. A negative correlation existed between the remnant liver volume and amylase (r = -0.291)/lipase (r = -0.380) on POD 7. Furthermore, a significant correlation was observed between POD 7 serum bilirubin and amylase (r = 0.245)/lipase (r = 0.330) levels, indicating cooccurrence with liver and pancreatic dysfunction. Pancreatic dysfunction due to hepatectomy occurs in a resection/remnant liver volume-dependent manner. It would be beneficial to closely monitor pancreatic function in patients undergoing a major hepatectomy.
Research on tissue rapid breeding technology of endangered plant Cibotiumbarometz (L.) J. Sm.
Authors: Yu Qiaoling , Lin Wei , Yu Xingjian , Qin Ben , Liang Ying , Wei Fan , Qin Shuangshuang , Wei Kunhua 
Published: November 2023

Abstract

This research aimed to establish the Cibotium barometz tissue rapid breeding technology and
provide a theoretical basis for its artificial breeding and industrial planting. The spores' germination
conditions were selected, along with the optimum sterilization time and spore germination medium.
The germination material was incubated in different basic media to select a basal medium suitable for
proliferation and differentiation. Based on the results of basic medium screening, the proliferation
orthogonal and differentiation experiments were performed to screen the best media, and then the C.
barometz rooting experiment was performed in two single-factor experiments by using the
differentiated sporophytes as materials. The optimal sterilization time of C. barometz spores was 11
minutes and the best medium for germination was 1/8MS medium supplemented with 0.02 mg/L IAA.
MS medium was suitable for the proliferation and differentiation of tissue culture seedlings, while the
WPM medium was suitable for sporophyte differentiation. The best medium for growth was the MS
medium, supplemented with 1.0 mg/L IAA and 0.5 mg/L 6-BA. Concentrations of sucrose had a
significant effect on the differentiation of tissue culture seedlings, while no sucrose culture had barely
any growth or differentiation effect on sporophytes. The effect of proliferation and differentiation was
the best when sucrose concentration was set at 20 g/L. Low concentration cannot limit the growth or
differentiation, while high concentration may inhibit those processes. The PGRs including IAA, NAA,
6-BA, and GA3 had better differentiation effects, but the KT was slightly weaker. The rooting rate of
sporophytes initially increased and then decreased with the concentrations of ABT, IBA, and IAA. The
rooting rate reached the maximum when the concentrations of ABT and IBA were at 1.5 mg•L -1 and
IAA was at 1.0 mg•L -1 (which were 86.82%, 91.52%, and 90.89%, respectively). Compared with ABT
and IAA, IBA had a significant effect on the average and the longest root length of C. barometz, and
the three PGRs had no obvious effect on the average or maximum diameter. The optimal cultivation
conditions for the organization of rapid breeding technology from the germination, growth,
differentiation, and rooting of C. barometz were obtained, and the sporophytes were successfully
transplanted to the external environment, and all these results provided a theoretical reference for the
industrial planting of C. barometz.
Development and validation of the nomogram based on ICGR15 and PNR to predict 28-day of mortality in patients with hepatitis B virus-related acute-on-chronic liver failure
Authors: Wang Hang , Zeng Yu , Sheng Yunjian 
Published: November 2023

Abstract

Background: Acute-on-chronic liver failure (ACLF) is a critical disease with a high mortality. Here, we developed and validated a new and simple prognostic nomogram to predict the 28-day mortality in patients with hepatitis B virus-related ACLF (HBV-ACLF).
Methods: A 28-day follow-up was conducted on 353 patients with HBV-ACLF to develop this nomogram. Patients were randomly assigned to the training cohort (n=248) and validation cohort (n=105) at 7:3. The nomogram was evaluated using the concordance index (C-index) and calibration curve. We also compared the nomogram with the model for end-stage liver disease (MELD) score, age-bilirubin-international normalized ratio (INR)-creatinine (ABIC) score, and albumin-bilirubin (ALBI) score.
Results: Multivariate logistic regression analysis showed that age (p = 0.014), total bilirubin (p = 0.006), INR (p = 0.002), platelet to neutrophil ratio (PNR) (p = 0.004), and indocyanine green retention at 15 min (ICGR15) (p = 0.012) were independent predictors of 28-day mortality in patients with HBV-ACLF. The nomogram was constructed using these risk factors to predict the 28-day mortality rate. The C-indexes of training and testing data were 0.867 and 0.788, respectively, indicating strong consistency between the results on the nomogram and the actual results of internal validation. The calibration curve of the nomogram used to predict the 28-day mortality rate of patients with HBV-ACLF showed high consistency. The area under the receiver-operating characteristics curve (AUC) performance of the nomogram in the training cohort was superior to that of ALBI, ABIC, and MELD, and was comparable to that in the validation cohort.
Conclusion: This study emphasizes the predictive value of ICGR15 and PNR, and the nomogram based on ICGR15 and PNR can effectively estimate the individualized risk of short-term death in patients with HBV-ACLF defined by the Asian Pacific Association for the Study of the Liver (APASL).
Enhancing Analytical Methods for Estimating Water Inflow to Tunnels in the Presence of Discontinuity Areas
Authors: Farhadian Hadi , Shahraki Farhad Bahmani 
Published: November 2023

Abstract

There are various methods for calculating the inflow of water into excavated tunnels in rock formations, including empirical, analytical, and numerical methods. Analytical equations are widely used due to their simplicity and reliance on assumptions. However, past studies have shown that the measured water inflow into rock tunnels is often lower than the values estimated using analytical equations. Moreover, results obtained using analytical equations are highly dependent on the tunnel geometry and environmental conditions. Hence, this study employed finite element numerical modeling to simulate the effects of various factors, including fault distance from the tunnel, permeability coefficient, fault width, tunnel radius, rock mass permeability, and groundwater level, on the water inflow into the tunnel. The analytical method was then used to estimate the water inflow, and the results were compared with the numerical modeling outputs. Subsequently, modified equations were developed to estimate the water inflow under different conditions, including cases where the fault intersects or does not intersect the tunnel. The correlation between the results obtained from the equations and the numerical modeling outputs was evaluated using R and R2 statistics. The obtained values were within an acceptable range, indicating the validity of the proposed models. Furthermore, the histograms of the residuals for both models showed a good fit. To validate the proposed models, the analytical method and the proposed equations were used to estimate the water inflow into the Amirkabir tunnel, respectively. The results showed that the values obtained using the new equations were closer to the actual values than those obtained using the analytical method. This study highlights the importance of considering various factors in estimating the water inflow into rock tunnels and provides new equations that can improve the accuracy of such estimates.
Research on the Modification Process of Attapulgite with Sulfhydryl Functionalization Assisted by Polyethylene Glycol
Authors: Fu Cheng , Pei Xiangjun J. , Luo Jing , Zhu Xiaping , Lei Ningfei 
Published: November 2023

Abstract

In recent years, with the improvement of people's awareness of environmental protection, heavy metal pollution such as Cd2+ and Pb2+ has attracted high attention. This study focuses on the preparation of a highly adsorbent environmental functional material, sulfhydryl modified attapulgite (ATP-SH), through the modification of attapulgite (ATP) using polyethylene glycol-20000 (PEG-20000) as an auxiliary agent and 3-mercaptopropyltrimethoxysilane (MPT). The optimal preparation process was obtained. Furthermore, characterization of ATP and ATP-SH was performed using various techniques including FT-IR, XRD, SEM, among others. The results confirmed successful grafting of sulfhydryl groups onto ATP, with the layered crystal structure and crystallinity of ATP-SH remaining largely unchanged. However, the surface structure and thermal stability were enhanced, while the specific surface area and pore size distribution decreased due to the bulk size of the functional ligands. The characterization results of adsorption performance demonstrated that the adsorption of Cd2+ and Pb2+ by ATP-SH showed significant selectivity and stable adsorption forces. Under these conditions, the saturated adsorption capacities of ATP-SH for Cd2+ and Pb2+ were 22.71 mg/g and 65.57 mg/g, respectively, representing a respective increase of 31.96% and 57.74% compared to ATP. ATP-SH presents an effective remediation approach for heavy metal pollution in the environment.
Analysis of the cadmium removal mechanism of human gut bacteria Enterococcus faecalis strain ATCC19433 from genomic perspective
Authors: Zheng Yu , Duan Zhibin , Wu Yonggui , Luo Yang , Peng Xiaoyu , Wu Jianye 
Published: November 2023

Abstract
Cadmium (Cd) is one of the most well‒known toxic metals capable of entering the human body via the food chain, leading to serious health problems. Human gut microbes play a pivotal role in controlling Cd bioavailability and toxicity within the human gastrointestinal tract, primarily due to their capacity for Cd adsorption and metabolism. In this work, a Cd resistance bacterial strain, Enterococcus faecalis strain ATCC19433 was isolated from human gut microbiota. Cd binding assays and comprehensive characterization analyses were performed, revealing the ability of strain ATCC19433 to remove Cd from solution. Cd adsorption primarily occurred on the bacterial cell walls, which was ascribed to the exciting of functional groups on the bacterial surfaces, containing alkyl, amide II, and phosphate groups; meanwhile, Cd could enter cells, probably through transport channels or via diffusion. These results indicated that Cd removal by the strain was predominantly dependent on biosorption and bioaccumulation. Whole‒genome sequencing analyses further suggested the probable mechanisms of biosorption and bioaccumulation, including Cd transport by transporter proteins, active efflux of Cd by cadmium efflux pumps, and mitigating oxidative stress induced cell damage by DNA − repair proteases. This study evaluated the Cd removal capability and mechanism of Enterococcus faecalis strain ATCC19433 while annotating the genetic functions related to Cd removal, which may facilitate the development of potential human gut strains for the removal of Cd.
Optimizing Melt Pool Temperature Prediction Using Convolutional Bilstm with Insights from Dragonfly Behavior in Wire-Arc Additive Manufacturing
Authors: Sharma Nutan , Nagappan Beemkumar , Shahid Mohammad , Patel Dinesh , Sutariya Kruti , Reddy Venkata Ramesh 
Published: November 2023

Abstract
Wire-Arc Additive Manufacturing (WAAM) has received a lot of attention in recent years because of its ability to create large-scale metallic components layer by layer. Monitoring and controlling the melt pool temperature in real-time, which is a significant factor in deciding the quality of the manufactured part, is a significant problem in WAAM. In this research, we introduce a novel approach for predicting melt pool temperature in wire arc additive manufacturing by employing a Dragonfly optimized convolutional Bi-directional Long Short-Term Memory (DragOCBiLSTM), inspired by insights derived from the behavior of dragonflies. The Convolutional layers efficiently extract spatial characteristics from multi-sensor data, while the Bi-directional LSTM (BiLSTM) layers capture temporal correlations within the data. The utilization of these two elements, refined using the algorithm inspired by dragonfly behavior, presents a significant advantage in comparison to existing predictive models. The data are normalized using the Z-score normalization approach. Principal Component Analysis (PCA) is then used to extract the characteristics from the cleaned data. After that, Dragonfly Optimization (DO) is used to find the best feature subsets.The proposed method’s performance is assessed in terms of Mean Absolute Error (MAE) (10.984), Mean Absolute Percentage Error (MAPE) (3.404), and Mean Squared Error (MSE) (11.25)metrics and compared with existing methods. We provide a promising approach for optimizing the prediction of melt pool temperatures in WAAM, with possible implications for other manufacturing processes, by utilizing the distinctive behavioral insights of dragonflies and merging these with innovative deep learning architectures.
A prognostic model of idiopathic pulmonary fibrosis was constructed based on macrophage-related genes and mitochondria-related genes
Authors: Bao Yu , Yang Shiyuan , Zhao Hailan , Zhu Xue , Wang Yezhen , Li Ke , Liu Xue , Zhang Wei 
Published: November 2023

Abstract
Background
Studies have shown that mitochondrial function and macrophages may play a role in the development of idiopathic pulmonary fibrosis (IPF). However, the mechanism of macrophages and mitochondria in IPF is not fully understood.
Methods
To construct a prognostic model for IPF based on Macrophage-associated genes (MaRGs) and Mitochondria-associated genes (MitoRGs), differential analysis was performed to achieve differentially expressed genes (DEGs) between IPF and Control groups in the GSE28042 dataset. Then, MitoRGs, MaRGs and DEGs were overlapped to screen out the crossover genes. The univariate Cox analysis and the least absolute shrinkage and selection operator (LASSO) algorithm were implemented to achieve biomarkers. Furthermore, the independent prognostic analysis was employed. The ingenuity pathway analysis (IPA) was employed to further understand the molecular mechanisms of biomarkers. Next, the immune infiltration analysis was implemented to identify differential immune cells between two risk subgroups.
Results
There were 4791 DEGs between IPF and Control groups. Furthermore, 26 crossover genes were achieved by the intersection processing. Three biomarkers including ALDH2, MCL1, and BCL2A1 were achieved, and the risk model based on the biomarkers was created. In addition, a nomogram for survival forecasting of IPF patients was created based on riskScore, Age, and Gender, and we found that biomarkers were associated with classical pathways including ‘Apoptosis Signaling’, ‘PI3K/AKT Signaling’, and so on. Next, two differential immune cells including Monocytes and CD8 T cells were identified between two risk subgroups. Moreover, we found that MIR29B2CHG and hsa-mir-1-3p could regulate the expression of ALDH2.
Conclusion
We achieved 3 biomarkers including ALDH2, MCL1, and BCL2A1 associated with IPF, providing a new theoretical basis for clinical treatment of IPF.
Effectiveness of Dialectic Behavioral Therapy in Adolescents (DBT-A) in the treatment of depression and emotional dysregulation: A Colombian prospective cohort study
Authors: Ayala-Corredor Catalina , Clavijo-Bocanegra Diana Lorena , Ariza María Palacios , Forero-Quintana Luisa , Niño Andrea , Rincon-López Juliana Vanessa , Villalba-Niño Sara Yinneth 
Published: November 2023

Abstract

Background
Dialectic behavioral therapy (DBT) is a psychotherapeutic treatment to address emotional dysregulation (EDys) through acceptance and change strategies. It has been specifically adapted for use in adolescents (DBT-A). The aim of this study was to determine the effectiveness of a DBT-A skills training program in two different group formats, compared with standard care, for the treatment of EDys and depressive symptoms in adolescents.
Methods
We carried out a prospective cohort study on adolescents who were exposed to DBT-A skills training compared with standard care. The program included 14 sessions, two hours in duration, fortnightly. We examined clinical outcomes and measures of EDys (with the Difficulties in Emotion Regulation Scale - DERS) and depression (with the Children’s Depression Inventory - CDI) in three groups: Group A corresponded to separate DBT group skills training for patients and their caregivers; Group B-Multifamily, in which adolescents and their caregivers participated in the same sessions; and Group C was the treatment as usual group, with no DBT skills training. Group assignment was non-random and was subject to training group availability at time of inclusion. Linear models were used to control the effect of potential confounders.
Results
We identified a final sample of 130 subjects. Groups were significantly different only in sex distribution, and problematic alcohol/substance use. Significant differences in DERS and CDI scores were observed when comparing training groups (A and B) with the control (ANOVA p value < 0.001). The adjusted model for the difference in DERS scores showed a significant association between either of the intervention groups vs. treatment as usual. The model for change in the CDI scores showed a significant effect of Group B assignment over treatment as usual, but not of group A. Age showed a significant effect with an average decrease in the difference between pre and post scores of -1.207 per year (95%CI -2.292;-0.122). The use of antidepressants showed a significant effect with a magnitude of 5.411 (95%CI 1.415;9.407).
Conclusions
The implementation of DBT-A skills training, in either a separate or multifamily format, was both effective and safe for EDys treatment. DBT-A skills training delivered in a multifamily format may have the added benefit of impacting symptoms of depression.