bluuebunny/crossref_metadata_2025_split huggingface dataset:
A comparison of the effect of time-to-treatment on survival according to economic status of lung cancer patients with chronic diseases in Korea
Authors: Kim Woorim , Han Kyu-Tae 
Published: August 2022

Abstract
Background: The relationship between the provision of timely treatment to lung cancer patients with chronic diseases and their survival rate has not been previously examined. Therefore, this study aimed to investigate the association between time-to-treatment and five-year mortality in lung cancer patients with diabetes, hypertension, and dyslipidemia.Methods: The data for the study were drawn from the National Health Insurance elderly cohort data (2002-2019). The participants were 2023 lung cancer patients with diabetes, hypertension, or dyslipidemia who underwent surgery. The Cox proportional hazards model was used to analyze the impact of time-to-treatment for first cancer treatment on five-year mortality. The cut-off value for time-to-treatment was set at 30 days. Sub-group analyses were conducted according to the economic status, and the level of comorbidities. Results: Compared to individuals who received their first treatment for lung cancer in less than 30 days from diagnosis, patients who received their treatment after 30 days showed a higher risk of five-year mortality (HR 1.328, 95% CI 1.077-1.639). This difference in mortality risk was magnified in individuals of lower economic status and among those with a higher level of comorbidities.Conclusion: Lung cancer patients with diabetes, hypertension, or dyslipidemia, who began their treatment for cancer 30 days after diagnosis, had a higher five-year mortality rate. This emphasizes the importance of avoiding delays in the treatment and management of lung cancer among patients with chronic diseases.
Convergence of animal propulsor placement for optimal maneuverability in fluids
Authors: Costello John , Lederer Emma , O'Melia Jillian , Dabiri John , Gemmell Brad , Leftwich Megan , Colin Sean 
Published: August 2022

Abstract
Swimming and flying animals across diverse taxa rely on the ability to maneuver for feeding1-6, escaping predation7-9, finding mates10-13, and navigating complex physical environments14-16. As such, the evolutionary success of these animals depends in part on propulsor designs that can efficiently change the orientation of the body during locomotion. We show that across 292 species of swimming and flying animals—including birds, fish, cetaceans, bats, insects, and sea turtles—the location of lateral maneuvering propulsors is tightly constrained at a location approximately 1/3 of the body length from the anterior end. A theoretical model for optimal turning is consistent with these observations, and it makes a further prediction of a non-trivial relationship between propulsor placement and body center of mass. That prediction is also confirmed by an additional, detailed morphometric analysis of 38 species. The present observations are notable in that a simple physical model appears sufficient to explain observed morphological diversity, and it suggests that propulsor placement in swimming and flying metazoans favors structural solutions that are adapted to enable efficient maneuvering in fluids.
Detecting community on social networks with fast and optimal online clustering algorithms
Authors: Mansoor Muneer S.G. , Alshadoodee Hasanain Abdalridha Abed , Alabdali Rahim , Hamid Mohammed Nawras 
Published: August 2022

Abstract

Social networks or social media have become an essential part of our lives today, at least in their virtual dimension, and the image of the web world is almost impossible without the presence of this pervasive phenomenon. These networks are one of the important components of the information infrastructure, such as Twitter networks, Facebook networks, and so on. In the analysis of social networks, one of the important issues is the detection of community. Each community is a group of network nodes so that the connection between nodes within the group with each other is more than their connection with other network nodes. Various methods have been proposed for community detection. One of the existing methods is based on data stream clustering. The output data of a social network can be modeled with a data stream. Fast and accurate clustering of this data stream can be very effective in the detection of community. In order to increase the accuracy of the clustering process, the crow search optimization algorithm has been used. So In this research, using a fast and accurate online clustering algorithm, the community is detected. The simulation results indicate that the method proposed in this research can calculate the number of clusters optimally and perform better than similar methods. The proposed algorithm can be used in many other applications.
Bioinformatics analysis of the inflammation-associated lncRNA- mRNA co-expression network in type 2 diabetes
Authors: Huang Linjuan , Xiong Shengxi , Liu Hanshuang , Li Min , Zhang Ranran , Liu Yan , Hu Xiaolei 
Published: August 2022

Abstract
Background
The present study mined key lncRNAs and their functions related to inflammation in type 2 diabetes by constructing a lncRNA-mRNA co-expression network based on bioinformatics technology to discover new markers or therapeutic targets.
Results
We finally obtained 12 genes, including A1BG-AS1, AC084125.4, RAMP2-AS1, FTX, DBH-AS1, LOXL1-AS1, LINC00893, LINC00894, PVT1, RUSC1-AS1, HCG25, and ATP1B3-AS1. RT-qPCR verified that A1BG-AS1, HCG25, and LOXL1-AS1 were upregulated in the HG + LPS-induced THP-1 cell model, and DBH-AS1 was downregulated in the HG + LPS-induced THP-1 cell model.
Conclusions
LncRNAs and mRNAs are extensively linked and form a co-expression network, and lncRNAs may influence the development of type 2 diabetes by regulating the corresponding mRNAs. The four key genes obtained may become biomarkers of inflammation in type 2 diabetes in the future.
Field-controlled quantum anomalous Hall effect in electron-doped CrSiTe3 monolayer: a first-principles prediction
Authors: Kim Heung-Sik , Kang Sungmo , Kang Seungjin , Yu Jaejun 
Published: August 2022

Abstract
We report Chern insulating phases emerging from a single layer of layered chalcogenide CrSiTe3, a transition metal trichacogenides (TMTC) material, in the presence of charge doping. Due to strong hybridization with Te p orbitals, the spin-orbit coupling effect opens a finite band gap, leading to a nontrivial topology of the Cr eg conduction band manifold with higher Chern numbers. Our calculations show that quantum anomalous Hall effects can be realized by adding one electron in a formula unit cell of Cr2Si2Te6, equivalent to electron doping by 2.36 × 1014 cm-2 carrier density. Furthermore, the doping-induced anomalous Hall conductivity can be controlled by an external magnetic field via spin-orientation-dependent tuning of the spin-orbit coupling. In addition, we find distinct quantum anomalous Hall phases employing tight-binding model analysis, suggesting that CrSiTe3 can be a fascinating new platform to realize Chern insulating systems with higher Chern numbers.
The area of residual tumor predicts esophageal squamous cell carcinoma prognosis following neoadjuvant chemotherapy
Authors: Adachi Masahiro , Aoyama Naoki , Kojima Motohiro , Sakamoto Naoya , Miyazaki Saori , Taki Tetsuro , Watanabe Reiko , Matsuura Kazuto , Kotani Daisuke , Kojima Takashi , Fujita Takeo , Tabuchi Keiji , Ishii Genichiro , Sakashita Shingo 
Published: August 2022

Abstract
Purpose
To clarify the utility of the area of residual tumor for patients with esophageal squamous cell cancer treated with neoadjuvant chemotherapy.
Methods
We enrolled 186 patients with esophageal squamous cell cancer who underwent surgical resection following neoadjuvant chemotherapy at our hospital. Using digital images, we measured the area of residual tumor at the maximum plane of the specimen and divided the patient into three groups as follows: 0 (area = 0 mm2), low (area = 0 mm2 to 40 mm2), and high (area ≥ 40 mm2). The clinicopathological factors and prognosis were compared among these groups.
Results
The median area of residual tumor was 15.0 mm2 (range 0–1,448.8 mm2). Compared with the 0 and low group, the high group was significantly associated with poorer recurrence-free survival (all P < .001) and overall survival (P < .001 [vs 0] and P = .017 [vs low]). The area of residual tumor and lymphovascular invasion were independent predictors of the recurrence-free survival. By dividing the patients using a combination of the area of residual tumor and lymphovascular invasion, the high and/or lymphovascular invasion (+) group displayed significantly poor recurrence-free survival than the 0 group and low/lymphovascular invasion (-) group. However, there was no significant difference in the recurrence-free survival between the 0 group and low/lymphovascular invasion (-) group.
Conclusion
The area of residual tumor is a promising histopathological prognostic factor for patients with esophageal squamous cell cancer treated with neoadjuvant chemotherapy. Moreover, it is a possible candidate histopathological factor for postoperative chemotherapy selection.
Inhibitory control towards angry stimuli in patients with binge eating disorder – a pilot study
Authors: Schag Kathrin , Sandler Lea , Zipfel Stephan , Derntl Birgit , Giel Katrin Elisabeth 
Published: August 2022

AbstractBackground Emotion regulation theories as well as the negative urgency concept assume that negative mood increases binge eating. Negative emotions are considered as a trigger for binge eating, while binge eating itself is regarded as an impulsive behavior and should thus be increased within the negative urgency concept. Anger might be a specific negative emotion triggering binge eating in patients with binge eating disorder (BED). We investigated how inhibitory control as one main factor of impulsivity is influenced by anger in patients with BED and two control groups. Methods We compared patients with BED (N = 20) with normal-weight healthy control participants (NW-CG, N = 20) and BMI-matched overweight and obese control participants (BMI-CG, N = 18). We used the emotional Stop Signal task (eSST) to investigate inhibitory control, where we presented angry facial expressions in comparison with neutral facial expressions as emotional stimuli. Results All participants showed decreased inhibitory control in the angry vs. neutral condition, i.e., a faster Stop Signal Reaction Time and a lower percentage of correct reactions. However, no significant group differences emerged in terms of performance. Performance in the eSST did not correlate with negative urgency, disorder- or emotion-related characteristics. Conclusions The current pilot study does not deliver evidence for decreased inhibitory control towards angry stimuli in patients with BED, as we detected a general and not disorder-related effect in all participants that might represent the conjunction of inhibitory control and anger. Further studies should investigate the interplay of several discrete emotions and impulsive behavior in healthy and clinical groups.
Cross domain heterogeneous signcryption scheme with equality test for WBAN
Authors: Luo Ming , Pei Yusi , Qiu Minrong 
Published: August 2022

Abstract
The rapid development of wireless sensors has accelerated the popularity of wireless body area network (WBAN). WBAN use multiple sensors to collect the patient’s body data, and the data is transferred to the medical cloud for processing and analyzing. In order to protect the data in the medical cloud, some heterogeneous signcryption schemes that support equality test have been proposed. However, we observe that these schemes use the same cryptographic parameters in different cryptographic systems. In addition, most of these schemes cannot resist the replay attack (RRA) or know session temporary key attack (RKSTKA). To deal with these problems, this paper presents a cross domain heterogeneous signcryption scheme with equality test (CDSCET) for WBAN. In CDSCET, the ciphertexts are from certificateless cryptographic system (CLC) to public key infrastructure (PKI), where two different cryptosystems use different cryptographic parameters. CDSCET can realize confidentiality, integrity, authentication, RRA and RKSTKA. Moreover, compared with three latest schemes, CDSCET has reduced the total computation cost by at least 56.46%.
Do trade liberalization and external debt offset income inequality? New evidence from selected African countries
Authors: Mumuni Sulemana , Abille Adamu Braimah 
Published: August 2022

Abstract
Data from the World Bank indicates that in the 21st century over 100 million Africans have become poor and about 43% of the African population are extremely poor. At the same time, African governments have over the years liberalized their economies through low tariffs regime, in addition to external debt financing of major projects and social intervention programs. However, no known study has explored the nexus between trade liberalization, external debt and income inequality in the context of Africa. Therefore, this study examines the impact of trade liberalization and external debt on income inequality using the Pool Mean Group version of the Panel Autoregressive Distributed Lagged (PMG-PARDL) model on data from 2000–2018 for 30 African countries. The findings reveal trade that liberalization initially worsens income inequality and later acts as a catalyst for long-run poverty alleviation and income inequality reduction in Africa. The findings further show that external debt and growth in per capita income have long-run widening effects and short-run limiting effects on income inequality in Africa. Based on these findings, appropriate recommendations are made for policy purposes.
Fidelity to the ACT SMART Toolkit: An Instrumental Case Study of Implementation Strategy Fidelity
Authors: Tschida Jessica , Drahota Amy 
Published: August 2022

Abstract
Background: Although evidence-based practices (EBPs) have been shown to improve a variety of outcomes for autistic children, they are often inconsistently implemented or not implemented in community settings where many autistic children receive usual care services. One blended multi-phased implementation strategy developed to support the adoption and implementation of EBPs for autism spectrum disorder (ASD) in community-based settings is the Autism Community Toolkit: Systems to Measure and Adopt Research-Based Treatments (ACT SMART Toolkit). Guided by an adapted version of the EPIS, the ACT SMART Toolkit is comprised multiple phases, each with steps and activities to be completed by agency implementation teams. In the present study, we evaluated implementation strategy fidelity, given the potential for important insights into the use of the toolkit and limited information on the phenomenon of implementation strategy fidelity more broadly.Methods: We used an instrumental case study approach to assess fidelity to the ACT SMART Toolkit during its pilot study with six ASD community agency implementation teams. We assessed adherence, dose, and implementation team responsiveness for each phase and activity of the toolkit at both an aggregate and individual agency level. We also conducted repeated measures ANOVAs to determine whether implementation strategy fidelity significantly differed by toolkit phase. Results: Overall, we found that adherence, dose, and participant responsiveness to the ACT SMART Toolkit were high, with some variability by toolkit phase and activity, as well as by ASD community agency. There was a significant main effect of toolkit phase for dose (F(2,8) = 10.93, MSE = .190, p = .005, η2 = .73), such that dose was significantly lower during the preparation phase as compared to the implementation phase of the toolkit. Conclusions: Our instrumental case study evaluation of fidelity to the ACT SMART Toolkit demonstrated potential for the strategy to be used with fidelity in ASD community-based agencies. Findings related to variability of implementation strategy fidelity in the present study may also inform future adaptations to the toolkit and point to broader trends of how implementation strategy fidelity may vary by content and context.
“Tight” Nuchal Cord is an uncommon but important etiology of “Idiopathic” Polyhydramnios
Authors: Al-Sabawi Mohammed Hamid , Al-Ubaidi Entesar Y. , Al-Zori Inaam K. , Al-Rejabo Luma A. 
Published: August 2022

Abstract
The primary source of elimination of amniotic fluid is through fetal swallowing. This fluid is absorbed through the fetal gastrointestinal system and is either recycled through the kidneys or is transferred to the maternal compartment through the placenta. Therefore any condition that interfere with fetal swallowing e.g. nuchal cord can cause polyhydramios. This research is done over about 1 year duration (between 2021–2022) in three obstetric hospitals in Mosul city. The participants in the research are 1000 pregnant women with polyhydramnios in the third trimester of pregnancy. A search for the cause of polyhydramnios is done including ultrasound of fetus with a screen for nuchal cord by color Doppler ultrasound study of neck of the fetus. Fetuses with nuchal cords are followed until delivery to confirm the tightness of the cord and also to exclude other potential causes of polyhydramnios.The survey of the causes of polyhydramnios reveals that 4.1% of the idiopathic cases of polyhydramnios was due to tight nuchal cord, i.e., 1.2% of the total cases; whereas loose nuchal cords which are found accidentally during the screen was actually did not cause polyhydramnios. Nuchal cord is an uncommon but significant cause of polyhydramnios that constitute at least 4% of all cases of idiopathic polyhydramnios. Therefore it should be searched for in any pregnant woman with polyhydramnios, especially in the third trimester of pregnancy.
Machine learning methods predict up and down trends for stock returns
Authors: Yang Yanlin , Hu Xuemei 
Published: August 2022

Abstract
Stock returns are influenced by many factors such as economy, politics, psychology and culture etc. Screening out some important factors that really affect up and down trends can greatly improve the prediction accuracy. In this paper we combine machine learning methodswith technical analysis to predicts up and down trends for stock returns. Firstly, we choose three listed companies in the United States, China and Japan as our data set, and divide 18 important technical indicators into five different groups. Secondly, we apply training data to establish five classifiers: G-lasso(group lasso) penalized logistic regression, group logistic regression, lasso penalized logistic regression, support vector machine(SVM) and artificial neural networks(ANN) to predict up and down trends for stock returns. Finally, we adopt test data to get confusion matrices, kappa coefficients and ROC (Receiver Operating Characteristic) curves to assess the prediction performance, and found that G-lasso penalized logistic regression performs best in terms of accuracy and AUC, especially its prediction accuracy for the three companies all exceed 87%. Therefore, we recommend investors to apply G-lasso penalized logistic regression with technical indicators to predict up and down trends for stock returns.JEL Classification: C35; C53
Sex Difference Among Patients Undergoing Semiquantitative Tc99m Sesta Mibi Myocardial Scintigraphy as a Prognostic Indicator
Authors: Abdelhamed Heba , Abdelhai Shaimaa , Abdelaziz Mahmoud , Eltahlawi Mohammad 
Published: August 2022

Abstract

Purpose: Coronary artery disease (CAD) and its related mortality differ between both sex. We study the sex difference in the occurrence of major adverse cardiac events (MACE) among patients undergoing MPI for the detection of CAD and the predictors of MACE among those populations.Methods: This is a prospective cohort study involving patients with known or suspected CAD undergoing MPI for ischemia evaluation from January 2018 to July 2020. All patients were subjected to resting and exercise stress ECG, Gated 99mTc-Sestamibi (MIBI) myocardial perfusion SPECT (GSPECT) using one day stress/rest protocol. All patients were followed up for 1 year or till the occurrence of cardiac event whichever was earlier.Results: one-hundred and sixty-eight patients were enrolled. The mean follow-up period was 13.8 ± 5.3 months. MACE occurred in 25 patients. There was significant difference between MACE & non-MACE groups regarding sex with more MACE among females. High SDS score, high SWTS score, DM and female sex were independent predictors for MACE.Conclusion: MACE is more among women, and female sex is an independent predictor of MACE in CAD patients. Abnormal MPI with higher SDS and SWTS scores are independent predictors for MACE. Females have different model in MACE prediction than males.
Efficient degradation of hydroquinone by a metabolically engineered Pseudarthrobacter sulfonivorans strain
Authors: Sun Haili , Tai Xisheng , Chen Yingquan , Gao Tianpeng , Zhang Wei , Liu Guangxiu , Chen Ximing , Dyson Paul 
Published: August 2022

Abstract
Pseudarthrobacter sulfonivorans strain Ar51 can degrade crude oil and multi-substituted benzene compounds efficiently at low temperatures. However, it cannot degrade hydroquinone, which is a key intermediate in the degradation of several other compounds of environmental importance, such as 4-nitrophenol, g-hexachlorocyclohexane, 4-hydroxyacetophenone and 4-aminophenol. Here we co-expressed the two subunits of hydroquinone dioxygenase from Sphingomonas sp. strain TTNP3 with different promoters in the strain Ar51. The strain with 2 hdnO promoters exhibited the strongest hydroquinone catabolic activity. However, in the absence of antibiotic selection this ability to degrade hydroquinone was lost due to plasmid instability. Consequently, we constructed a hisD knockout strain, which was unable to synthesise histidine. By introducing the hisD gene onto the plasmid, the ability to degrade hydroquinone in the absence of antibiotic selection was stabilised. In addition, to make the strain more stable for industrial applications, we knocked out the recA gene and integrated the hydroquinone dioxygenase genes at this chromosomal locus. This strain exhibited the strongest activity in catabolizing hydroquinone, up to 470 mg/L in 16h without antibiotic selection. Additionally, this activity was shown to be stable when the strain has cultured in medium without antibiotic selection after 20 passages.