bluuebunny/crossref_metadata_2025_split huggingface dataset:
The role of 99mTc-HFAPi SPECT/CT in patients with malignancies of digestive system: first clinical experience
Authors: Jia Xi , Li Xinru , Jia Bing , Yang Ye , Wang Yuanbo , Liu Yan , Ji Ting , Xie Xin , Yao Yu , Qiu Guanglin , Deng Huixing , Zhu Zhaohui , Chen Si , Yang Aimin , Gao Rui 
Published: October 2022

Abstract
Background
Recently, PET/ CT imaging with radiolabelled FAP inhibitors (FAPIs) has been widely evaluated in diverse diseases. However, rare report has been published using SPECT/CT, a more available imaging method, with 99mTc-labelled FAPI. In this study, we evaluated the potential effect of 99mTc-HFAPi in clinical analysis for digestive system tumours.
Methods
This is a single-centre prospective diagnostic efficiency study (Ethic approved No.: XJTU1AF2021LSK-021 of First Affiliated Hospital of Xi’an Jiaotong University and ChiCTR2100048093 of Chinese Clinical Trial Register). 40 patients with suspected or confirmed digestive system tumours underwent 99mTc-HFAPi SPECT/CT between January through June 2021. For dynamic biodistribution and dosimetry estimation, whole-body planar scintigraphy was performed at 10, 30, 90, 150, and 240 min post-injection. Optimal acquisition time was considered at 60–90 min post-injection and semi-quantified using SUVmax and T/B ratio. The diagnostic performance of 99mTc-HFAPi were calculated and compared with those of contrast-enhanced CT (ceCT) using McNemar test, and the changes of tumour stage and oncologic management were recorded.
Results
Physiological distribution of 99mTc-HFAPi was observed in the liver, pancreas, gallbladder, and to a lesser extent in the kidneys, spleen and thyroid. The diagnostic sensitivity of 99mTc-HFAPi for non-operative primary lesions was similar to that of ceCT (94.29% [33/35] vs 100% [35/35], respectively; P = 0.5); in local relapse detection, 99mTc-HFAPi was successfully detected in 100% (n = 3) of patients. In the diagnosis of suspected metastatic lesions, 99mTc-HFAPi exhibited higher sensitivity (89.66% [26/29] vs 68.97% [20/29], respectively, P = 0.03) and specificity (97.9% [47/48] vs 85.4% [41/48], respectively, P = 0.03) than ceCT, especially with 100% (24/24) specificity in the diagnosis of liver metastases, resulting in 20.0% (8/40) changes in TNM stage and 15.0% (6/40) changes in oncologic management.
Conclusion
99mTc-HFAPi demonstrates a greater diagnostic efficiency than ceCT in the detection of distant metastasis, especially in identifying liver metastases.
Parental Involvement and Education Outcomes of Their Children
Authors: Kantová Klára 
Published: October 2022

Abstract
With the goal of shedding more light on the impact of parental time spent with their children, I estimate the causal relationship between parental involvement and the education outcomes of their children. This study is the first to examine the effect of parental time in terms of engagement in a child’s everyday life. Moreover, I enrich the existing literature by considering the characteristics of children as well as their parents. To estimate causal treatment effects, I use a simple logistic regression along with a subclassification on the propensity score. By subclassification, the systematic differences in baseline characteristics are eliminated. The education outcome is represented by a binary variable denoting whether the respondent completed high school or not. Completing high school increases a person’s economic self-sufficiency and civic engagement. The results indicate a higher probability of graduating from high school with higher parental involvement. This probability decreases when a child disobeys his or her parent. Most importantly, the results suggest that the expected probability of completing high school decreases with stricter parental behaviour.
JEL Codes: I21, J12, J13
Crystal structure, Spectroscopic characterization, impedance spectroscopic investigation and AC electrical conduction behavior of [(NH4)0,79K0,21]2Cu0,71Ni0,29Cl4.2H2O
Authors: messouadi Nouha , messoudi nihel , loukil mohamed 
Published: October 2022

Abstract
The present research under study makes in attention the synthesis of a new mixed material of formula [(NH4)0,79K0,21]2Cu0,71Ni0,29Cl4.2H2O by slow evaporation at room temperature. It is characterized by the following techniques: X-ray diffraction (XRD), IR absorption, Raman scattering, thermal analysis, AC conductivity and dielectric measurements. The crystals of [(NH4)0,79K0,21]2Cu0,71Ni0,29Cl4.2H2O belong to the Tetragonal system with the P4(2)/mnm space group. The crystallographic network consists of an [Cu0,71Ni0,29Cl4.(H2O)2]2− anion located on an inversion center and coordinated by two water molecules and four chlorine, and two [(NH4)0,79/K0,21]+ protonated cations. The crystalline stability is ensured by hydrogen bonds to form a zero-dimensional network. Furthermore, the spectroscopic results, at room temperature, confirmed the existence of both cationic and anionic parts, which is in perfect harmony with the results obtained from structural measurements. The impedance spectroscopy technique was used in order to understand the evolution of the electrical behavior and the relaxation process in this material. Accordingly, the experimental data of the Nyquist were fitted to the equivalent circuit created by a parallel combination of grain resistance Rg and a term of complex elements: constant phase elements CPE. The impedance spectroscopic confirms the existence of non-Debye behavior. As a matter of fact, the DC conductivity exhibits a semiconductor behavior. The transport of the charge carrier happens through an ion hopping mechanism, influenced by the motion of the K⁺ and NH4+ cations within the structure of [(NH4)0,79K0,21]2Cu0,71Ni0,29Cl4.2H2O. The AC conductivity data are well described by Jonsher’s law. The thermal behavior of the exponent parameter "n" reveals that the conduction mechanism is non-overlapping small polaron tunneling.
Spatial regression identifies socioeconomic inequality in multi-stage power outage recovery after Hurricane Isaac
Authors: Best Kelsea , Kerr Siobhan , Reilly Allison , Patwardhan Anand , Niemeier Deb , Guikema Seth 
Published: October 2022

Abstract
Power outages are a common outcome of hurricanes in the United States with potentially serious implications for community wellbeing. Understanding how power outage recovery is influenced by factors such as the magnitude of the outage, storm characteristics, and community demographics is key to building community resilience. Outage data is a valuable tool that can help to better understand how hurricanes affect built infrastructure and influence the management of short-term infrastructure recovery process. We conduct a spatial regression analysis on customers experiencing outages and the total power recovery time to investigate the factors influencing power outage recovery in Louisiana after Hurricane Isaac. Our interest was in whether infrastructure damage and recovery times resulting from a hurricane disproportionately affect socio-economically vulnerable populations and racial minorities. We find that median income is a significant predictor of 50%, 80%, and 95% recovery times, even after controlling for hurricane characteristics and total outages. Higher income geographies and higher income adjacent geographies experience faster recovery times. Our findings point to possible inequities associated with income in power outage recovery prioritization, which cannot be explained by exposure to outages, storm characteristics, or the presence of critical services such as hospitals and emergency response stations. These results should inform more equitable responses to power outages in the future helping to improve overall community resilience.
The Complexion of Multi-period Quantum Cournot Duopoly Game with Bounded Rationality Based on Asymmetric Information
Authors: Zhang Xinli , Zhang Jiahe 
Published: October 2022

Abstract
In the Cournot duopoly market, each firm is not completely rational, one firm's possession of information is not symmetrical, and their Nash equilibria are also usually inferior to Pareto optimality. The intersection of quantum game theory, nonlinear dynamics and asymmetric information may be an effective way to solve this problem. In this paper, we set up a multi-period quantum Cournot duopoly game model with bounded rationality based on asymmetric information, investigate the effects of quantum entanglement and asymmetric information on the local stability of quantum Nash equilibrium and complex dynamic behavior of the system. The result shows that an increase in the quantum entanglement decreases the quantum Nash equilibrium local stability and accelerates the occurrence of the system’s chaotic behavior, while the asymmetric information stabilizes the quantum Nash equilibrium and suppresses the chaotic behavior.The contradictive impact on the local stability of quantum Nash equilibrium creates the interesting properties of the game. Numerical simulations demonstrate these complex dynamical features via bifurcation, strange attractors, fractal dimensions and sensitivity to initial conditions.
Relationship Between red blood cell distribution width and Preoperative deep venous thrombosis of the lower extremity in elderly patients with hip fracture: A Propensity-Score Matched and Conditional Logistic Regression Analysis
Authors: Zhang Kexin , Zhu Yanbin , Tian Yunxu , Tian Miao , Li Xiuting , Wei Jianlu 
Published: October 2022

Abstract
Background: Deep vein thrombosis (DVT) was a severe and common complication that occurred in the patients with hip fractures, and the red blood cell distribution width (RDW) had been confirmed to be a risk factor of preoperative DVT. However, this relationship remains yet clear, and thus this study aimed to elucidate the relationship between RDW and preoperative DVT in the elderly patients with hip fractures.
Methods: We retrospectively collected the medical data of elderly patients (≥60 years) with hip fractures who were admitted to our hospital from October 2017 to December 2020. We used the receiver operating characteristic (ROC) curve to determine the optimal cut-off value of RDW, based on which, all patients were divided into the high or low RDW group. A propensity score matching (PSM) in a 1:1 ratio with the caliper value set as 0.02 was performed to balance variables and match cases with controls. Finally, the other potential confounding factors were controlled for by using conditional logistic regression analysis to identify the association between the RDW and preoperative DVT.
Results: A total of 2,520 patients were enrolled, the optimal cut-off value of RDW was 14.23%, and 1641 patients had a lower value, while 879 had a lower value. After PSM, 747 pairs constituted the study group. The standardized mean deviations (SMD) of all covariates were less than 0.10 (range, -0.06 to 0.04), indicating the groups were well matched. The conditional logistic regression analysis showed high RDW was associated with 1.83-fold increased risk (adjusted RR, 1.83; 95% CI, 1.28 to 2.62) of preoperative DVT after adjusting the covariates. In parallel, intertrochanteric fracture, high BMI, and longer time to surgery were identified as independent risk factors for preoperative DVT.
Conclusion: High RDW level, together with other risk factors, was identified to be independently associated with preoperative DVT in elderly patients with hip fractures, thus facilitating the individualized risk assessment, risk stratification and accordingly development of targeted preventive interventions.
Flexible Contact Tracing Mining Algorithms for Moving Objects
Authors: Chen Yu , Dai Hua , Li Bohan , Yang Geng 
Published: October 2022

Abstract

Contact tracing, a transmission intervention, has shown effectiveness inpandemic control. However, most existing schemes only focus on direct contact. There has been little work on indirect contact. In addition,most schemes are too stereotypical to change the rules of “contact” flexibly. To address the above problems, this paper provides flexible contact tracing mining (FCTM) algorithms for moving objects. First, a contact tracing model that supports four scenarios of contact identification is presented. Then, a baseline contact tracing mining algorithm(FCTMbas) using sliding window mechanism is proposed. To further improve the mining performance, an optimization contact tracing mining algorithm (FCTMopt) based on binary anchor timestamp (BAT)is proposed. It processes all objects only at BATs and quickly prunes detection objects at a safe distance from infected objects. We comprehensively evaluate the performance of our algorithms on real-world datasets. The results showed that they could mine more contacts and the optimization algorithm FCTMopt is more efficient than FCTMbas.
Integrated analysis of single‑cell and bulk RNA‑sequencing identifies a signature based on macrophage marker genes involved in prostate cancer prognosis and treatment responsiveness
Authors: Li Xiugai , Zheng Chang , Xue Xiaoxia , Wu Junying , Li Fei , Song Dan , Li Xuelian 
Published: October 2022

Abstract
Background
In the tumor microenvironment, tumor-associated macrophages (TAMs) interact with cancer cells and contribute to the progression of solid tumors. Nonetheless, the clinical significance of TAMs-related biomarkers in prostate cancer (PCa) is largely unexplored. The present study aimed to construct a macrophage-related signature (MRS) for predicting the prognosis of PCa patients based on macrophage marker genes and exploring its potential mechanisms.
Methods
Six cohorts containing 1056 PCa patients with RNA-Seq and follow-up data were enrolled in this study. Based on macrophage marker genes identified by single-cell RNA-sequencing (scRNA-seq) analysis, univariate analysis, least absolute shrinkage and selection operator (Lasso)-Cox regression, and machine learning procedure were performed to derive a consensus MRS. The receiver operating characteristic curve (ROC), concordance index, and decision curve analyses were used to confirm the predictive capacity.
Results
The predictive performance of MRS for recurrence-free survival (RFS) is stable and robust, and it outperforms traditional clinical variables. Furthermore, the high MRS patients presented abundant macrophage infiltration and high expression of immune checkpoint genes (CTLA4, HAVCR2, and CD86). The frequency of mutations was relatively high in high MRS group. However, the low MRS patients indicated a better response to immune checkpoint blockade (ICB) and leuprolide-based adjuvant chemotherapy. Notably, the abnormal ATF3 expression may be associated with docetaxel and cabazitaxel-resistant in the PCa cell lines.
Conclusions
In this study, a novel MRS was first developed and validated to accurately predict patients’ RFS, assess immune characteristics, infer therapeutic benefits, and provide an auxiliary tool for personalized therapies.
Adiponectin attenuates splenectomy-induced cognitive deficits by alleviating neuroinflammation and oxidative stress via the TLR4/MyD88/NF-κb signaling pathway in aged rats
Authors: Zhang Zhijing , Guo Lideng , Yang Fei , Peng Shanpan , Wang Di , Lai Xiawei , Su Baiqin , Xie Haihui 
Published: October 2022

Abstract
Background
Perioperative neurocognitive disorder (PND) is a common adverse event after surgical trauma in elderly patients. The pathogenesis of PND is still unclear. Adiponectin (APN) is a plasma protein secreted by adipose tissue. We have reported that decreased APN expression is associated with PND patients. APN may be a promising therapeutic agent for PND. However, the neuroprotective mechanism of APN in PND is still unclear.
Methods
Eighteen month-old male Sprague Dawley rats were assigned to six groups: the sham, sham + APN (intragastric (i.g.) administration of 10 µg/kg/day for 20 days before splenectomy), PND (splenectomy), PND + APN, PND + TAK-242 (intraperitoneal (i.p.) administration of 3 mg/kg TAK-242) and PND + APN + LPS (i.p. administration of 2 mg/kg LPS). The cognitive function of the rats was assessed with the Morris water maze (MWM) test. Immunohistochemistry/ immunofluorescence, western blotting and ELISA were used to evaluate the activation of the TLR4/NF-κb axis, oxidative stress-mediated apoptosis, microglial activation and proinflammatory cytokine expression in the hippocampus.
Results
We first found that APN treatment significantly improved learning and cognitive function in the MWM test after surgical trauma. Further experiments showed that APN could inhibit the TLR4/MyD88/NF-κb p65 pathway to decrease the degree of oxidative damage (MDA, SOD and caspase 3) and microglia-mediated neuroinflammation (IBA1, TNF-α, IL-1β and IL-6). The TLR4 antagonist TAK-242 had a similar effect as APN, while the TLR4 agonist LPS abolished the beneficial effect of APN.
Conclusions
APN exerts a neuroprotective effect against cognitive deficits induced by peripheral trauma, and the possible mechanisms include inhibition of oxidative stress and neuroinflammation, which is mediated by suppression of the TLR4/MyD88/NF-κb signaling pathway. We propose that APN is a promising candidate for PND treatment.
Development of a method of passaging and freezing human iPS cell-derived hepatocytes to improve their functions and application.
Authors: Inui Jumpei , Ueyama-Toba Yukiko , Mitani Seiji , Mizuguchi Hiroyuki 
Published: October 2022

Abstract
Human induced pluripotent stem (iPS) cell-derived hepatocyte-like cells (HLCs) are expected to replace primary human hepatocytes as a new stable source of functional hepatocytes in various medical applications. However, the hepatic functions of HLCs are still low and it takes a long time to differentiate them from human iPS cells. Furthermore, HLCs have very low proliferative capacity and are difficult to be passaged due to loss of hepatic functions after reseeding. To overcome these problems, we attempted to develop a technology to dissociate, cryopreserve, and reseed HLCs in this study. By adding epithelial-mesenchymal transition inhibitors and optimizing the cell dissociation time, we have developed a method for passaging HLCs without loss of their functions. After passage, HLCs showed a hepatocyte-like polygonal cell morphology and expressed major hepatocyte marker proteins such as albumin and cytochrome P450 3A4 (CYP3A4). In addition, the HLCs had low-density lipoprotein uptake and glycogen storage capacity. The HLCs also showed higher CYP3A4 activity and increased gene expression levels of major hepatocyte markers after passage compared to before passage. Finally, they maintained their functions even after their cryopreservation and re-culture. By applying this technology, it will be possible to provide ready-to-use availability of cryopreserved HLCs for drug discovery research.
Real-world clinical outcomes of treatment with molnupiravir for patients with mild- to-moderate coronavirus disease 2019 during the Omicron variant pandemic
Authors: Suzuki Yasuhito , Shibata Yoko , Minemura Hiroyuki , Nikaido Takefumi , Tanino Yoshinori , Fukuhara Atsuro , Kanno Ryuzo , Saito Hiroyuki , Suzuki Shuzo , Inokoshi Yayoi , Sando Eiichiro , Sakuma Hirofumi , Kobayashi Tatsuho , Kume Hiroaki , Kamimoto Masahiro , Aoki Hideko , Takama Akira , Iizuka Taku , Kamiyama Takamichi , Nakayama Masaru , Saito Kiyoshi , Tanigawa Koichi , Sato Masahiko , Waragai Yuichi , Kambe Toshiyuki , Kanzaki Norio , Azuma Teruhisa , Okamoto Hiromasa , Sakamoto Keiji , Nakamura Yuichi , Ohtani Hiroshi , Waragai Mitsuru , Maeda Shinsaku , Ishida Tokiya , Sugino Keishi , Abe Wataru , Tsukada Yasuhiko , Lee Tomoyoshi , Yamada Ryuki , Sato Riko , Onuma Takumi , Tomita Hikaru , Saito Mikako , Watanabe Natsumi , Rikimaru Mami , Kawamata Takaya , Morimoto Julia , Togawa Ryuichi , Sato Yuki , Saito Junpei , Kanazawa Kenya , Hamaguchi Sugihiro , Iseki Ken 
Published: October 2022

Abstract
Background
It is unclear whether molnupiravir has a beneficial effect on vaccinated patients infected with the Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We here evaluated the efficacy of molnupiravir in patients with mild-to-moderate coronavirus disease 2019 (COVID-19) during the Omicron variant surge in Fukushima Prefecture, Japan.
Methods
We enrolled patients with mild-to-moderate COVID-19 who were admitted to hospitals between January and April, 2022. Clinical deterioration after admission was compared between molnupiravir users (n = 281) and non-users (n = 1,636).
Results
The molnupiravir users were older (P < 0.0001), and had greater rates of history of chronic respiratory disease (P = 0.039), hypertension (P < 0.0001), dyslipidemia (P < 0.0001), diabetes mellitus (P < 0.0001), and cardiac disease (P = 0.003) than the non-users. The clinical deterioration rate was significantly lower in the molnupiravir users compared to the non-users (3.92% vs 7.46%; P = 0.021). Multivariate logistic regression analysis demonstrated that receiving molnupiravir was a factor for preventing deterioration (odds ratio 0.426; 95% confidence interval 0.208–0.871; P = 0.019), independent of receiving the SARS-CoV-2 vaccine. Furthermore, in 259 patients who were selected from each group after matching on the propensity score, the rate of deterioration was significantly lower among those receiving molnupiravir compared to those not receiving molnupiravir (3.86% vs 9.65%; p = 0.008).
Conclusion
This real-world study demonstrates that molnupiravir contributes to the prevention of deterioration in COVID-19 patients after hospitalization during the Omicron variant phase.
Phytoremediation potential of Acorus calamus L., an emergent macrophyte, to remove inorganic arsenic from water
Authors: Li Shuhui , Liu Guangyi , Zhang Ting 
Published: October 2022

Abstract
In this study, the emergent macrophyte Acorus calamus L. was used to remove different concentrations (200, 500, and 1,000 µg L‒1) of arsenate [As(V)] and arsenite [As(III)] from water. The removal efficiencies of As(V) and As(III) reached more than 95%. As(III) could be removed by A. calamus L. more efficiently than As(V). In both As(V)- and As(III)-exposed A. calamus L., the arsenic contents were much higher in the root than in the stem and leaf. The translocation factors of As(V) and As(III) were no more than 0.152. Both As(V) and As(III) were found in the whole plant, whereas dimethylarsinic acid (DMA, 0.06‒0.13 mg kg‒1) was only present in the aboveground part (leaf). As(V) was the main species in the As(V)-exposed plants (45.86%‒70.21%). As(III) was the main species in the stem and leaf of As(III)-exposed plants (55.76%‒85.52%), while As(V) was still dominant in the root. A. calamus L. could keep its green leaves during the 31 days of inorganic arsenic (iAs) exposure. However, As(V) had a little inhibitory effect on height growth, and As(III) could slightly inhibit the weight gain. The concentrations of malondialdehyde (MDA) and hydrogen peroxide (H2O2), as well as the activity of catalase (CAT) were significantly higher in the root than those in the stem and leaf. The oxidative stress response of A. calamus L. to As(III) was more than that to As(V). Our findings indicated that A. calamus L. was regarded as a promising material for the removal of iAs.
Incorporating Machine Learning in Dispute Resolution and Settlement Process for Financial Fraud
Authors: Mark  
Published: October 2022

Abstract

This paper aims to classify disciplinary hearings into two types (settlement and contested). The objective is to employ binary machine learning classifier algorithms to predict the hearing outcomes given a set of features representing the victims, offenders, and enforcement. Data for this project came from the Investment Industry Regulatory Industry of Canada’s (IIROC) tribunal hearing. The data comprises cases that made their way through the IIROC ethics enforcement system and were decided or negotiated by a hearing panel. The findings from the machine learning classifiers confirm that decisions in these cases are not proportionate to the harm committed and that the presence of aggravating factors does not result in harsher sentences.