bluuebunny/crossref_metadata_2025_split huggingface dataset:
Parents’ experience of delivering pediatric tuina to children with attention deficit hyperactivity disorder symptoms: qualitative findings from focus group interviews
Authors: Chen Shu-Cheng , Cheng Hui-Lin , Wang Dong-Dong , Wang Shan-Shan , Yin Yue-Heng , Suen Lorna Kwai-Ping , Yeung Wing-Fai 
Published: October 2022

Abstract
Background
Evidence suggests that pediatric tuina, which is a modality of traditional Chinese medicine (TCM), might have beneficial effects on attention deficit hyperactivity disorder (ADHD) symptoms. Therefore, we designed and conducted a pilot randomized controlled trial (RCT) on parent-administered pediatric tuina for ADHD in preschool children. This paper reported focus group interview data as a part of a process evaluation embedded with the outcome evaluation of the RCT. To understand the parents’ facilitators and barriers of delivering pediatric tuina to their children with ADHD symptoms.
Methods
Purposive sampling were employed to invite 15 parents who attended our pediatric tuina training program to voluntarily participate in three focus group interviews. The interviews were audio-recorded and transcribed verbatim. The data was analyzed with template analysis.
Results
Two themes were identified. Under the theme of the facilitators to the intervention implementation, subthemes included (a) perceived benefits on children and parents, (b) acceptability of children and parents, (c) professional supports, and (d) parents’ expectations on long-term effects of the intervention. Under the theme of the intervention implementation barriers, subthemes included (a) limited benefits on children’s inattention symptoms, (b) manipulation management difficulties, and (c) limitations of TCM pattern identification.
Conclusion
Parents mainly focused on the health effects and safety of pediatric tuina intervention, especially the effects on children’s sleep quality and appetite. Parents could master and conduct the manipulations well if appropriate support and guidance are provided. Besides, parents need long-term support for persisting this intervention.
Uncovering Gatsby Curves
Authors: St-Amant Pier-André Bouchard , Marceau Nicolas , Garon Jean-Denis 
Published: October 2022

Abstract

Empirical findings suggest a positive correlation between inequality and social immobility, a phenomenon coined the (Great) Gatsby curve. However, complete explanations of the phenomenon have not yet been proposed. This paper answers two questions: What are Gatsby curves? When do they exist? We build a theoretical environment in which parental investment and education improve the economic prospects of children. Gatsbian economies and Gatsby curves are formally defined, and we characterize the conditions under which they arise. We show that an economy may go from being Gatsbian to non-Gatsbian, and vice versa.
JEL Codes: D31, H52, J31, J62
Listen to the story of disappearing ice: Japanese local media not reporting climate risks to intangible culture and the journalistic norms
Authors: Fukumura Yoshimi 
Published: October 2022

Abstract
Climate systems have experienced irreversible changes, including ice loss. It threatens the continuity of ice tradition. Journalistic norms determine people's awareness of climate risks posed on local intangible cultural heritage. Nevertheless, little has been studied about local media coverage of climate change in line with the culture in Japan. By comparing with foreign articles, this paper investigates what hampers Japanese local journalists from reporting climate risks on local intangible cultural heritage. A case selected is a winter tradition in Nagano; ritual for ice ridges on Lake Suwa, which local people have considered the god's crossing (omiwatari) and have worshiped for five centuries. This research utilizes quantitative analysis of text mining with word clouds to highlight the different viewpoints of articles written in Japan and abroad. Qualitative analysis scrutinizes the focal points of the local journalists who report the tradition. The results showed the different characteristics of the one-shot articles in foreign media and a series of news in the Japanese local newspapers. Foreign media emphasized the climate risk of continuity of the omiwatari practice in the future, while Japanese local media focused on the daily practice of the seasonal event. Interviews in this research revealed that the Japanese journalists focused on ongoing challenges the practitioners face rather than future climate risks. It also recognized the difficulty of reporting invisible climate change impacts in daily news articles. Finally, the article discusses journalistic norms that hamper or encourage journalists to frame climate change and intangible cultural heritage.
Butein, a potential drug for the treatment of Bone Cancer Pain through bioinformatic and network pharmacology
Authors: Xin Liu , Zhao Shangfeng , Zhao Qianqian , Chen Yiwei , Jia Shubing , Xiang Rongwu , Zhang Jinghai , Xu Yijia , Zhao Mingyi 
Published: October 2022

Abstract
Bone cancer pain (BCP) is a difficult-to-treat pathologic condition that impairs the patient's quality of life. The effective therapy options for BCP are restricted due to the unknown pathophysiology. Transcriptome data were obtained from the Gene Expression Omnibus (GEO) database and differentially expressed gene (DEGs) extraction was performed. Differentially expressed genes analysis (DEGs) integrated with pathological targets found 68 genes in the study. Butein was discovered as a possible medication for BCP after the 68 genes were submitted to the Connectivity Map (CMap) 2.0 database for drug prediction. To collect the butein targets, we used the CTD, SEA, TargetNet, and Super-PRED databases. Furthermore, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses revealed butein's pharmacological effects, indicating that butein may aid in treating BCP by altering the hypoxia-inducible factor, NF-kappa B, angiogenesis, and sphingolipid signaling pathways. Moreover, the pathological targets integrated with drug targets were obtained as the shared gene set A (GSA), which was analyzed by ClueGO and MCODE. Biological process analysis and MCODE algorithm further analyzed that BCP related targets were mainly involved in signal transduction process and ion channel-related pathways. Next, we integrated targets related to network topology parameters and targets of core pathways, identified PTGS2, EGFR, JUN, ESR1, TRPV1, AKT1 and VEGFA as butein regulated hub genes by molecular docking, which play a critical role in its analgesic effect. This study lays the scientific groundwork for elucidating the mechanism underlying butein's success in the treatment of BCP.
Preventing medical service provider from launching known emergency attack in real-time healthcare
Authors: Pattanayak Anupam , Dhal Subhasish 
Published: October 2022

Abstract
In cloud-assisted body area network (BAN), medical user (MU) is equipped with sensor nodes to measure different physiological health information (PHI). Whenever the PHI reading is found to be abnormal, BAN notifies this medical emergency event to cloud. Cloud broadcasts this medical emergency event to all medical service providers (MSPs) attached to cloud while preserving privacy of MU. There can be multiple MSPs competing for admitting the MU in need of medical treatment. For this, MSP uploads its infrastructural parameters to cloud. However, some MSPs can upload false data to cloud for attracting MU. This is
possible when malicious MSP is aware of some medical emergency event and ready to exploit the system to get more business. We classify this attack as Known Emergency Attack. This attack can severely deteriorate the appropriate MSP selection process during emergency. However, as per our knowledge, there is no prior work addressing this problem. We propose a
blockchain based framework, whcih can prevent an MSP from uploading false data and thereby protect from known emergency attack. In response to MU emergency, MSPs send its encrypted attributes to miners in the blockchain network. Miners compute encrypted difference between registered MSP attribute and currently received MSP attribute. If the difference is within a threshold, only then this MSP is considered as a candidate for MSP selection. Security and privacy of proposed framework is verified using Random Oracle Model and AVISPA tool. Computational requirement of proposed framework has also been evaluated.
Nudging policymakers on gendered impacts of policy
Authors: Bochon Lindsay , Dean Janet , Rosteck Tanja , Zhao Jiaying 
Published: October 2022

Abstract
Despite the proliferation of nudge research in the last few decades, very little published work aims to nudge the behavior of policymakers. Here we explore the impact of a well-established nudge on policymakers in the Northwest Territories of Canada. In a pre-registered randomized controlled trial, we emailed an invitation to policymakers (N = 263) to attend an online briefing on gendered impacts of policy. In the treatment condition (N = 133), the invitation contained personal stories of two women whose lives were disproportionally impacted by public policies more than men. In the control condition (N = 130), the invitation did not contain such stories. After the briefing, we sent all participants in both conditions a link to a public pledge that they could sign. The pledge was to lead and advocate for equity-oriented policymaking. Contrary to our prediction, there was a small backfiring effect where policymakers in the treatment condition (3%) were less likely to attend the briefing than the control condition (8%). However, two policymakers (1.5%) in the treatment condition signed the public pledge compared to one (0.8%) in the control condition. The current findings reveal the limits of using personal stories as a nudge to influence policymakers. We discuss insights gained from this experiment and follow-up debriefings with policymakers on how to improve future behavioral interventions designed to nudge policymakers.
Identification of a Novel Mutation in CTCF in a Family with MRD21
Authors: Qiao Yimeng , Chen Baiyun , Han Yanqiang , Wang Yangong , Zhang Jin , Su Yu , Cheng Ye , Wang Ting , Ding Jian , Ye Simin , Lv Nan , Li Jinjin , Shang Qing , Xing Qinghe 
Published: October 2022

AbstractBackground Developmental delay (DD) and intellectual disability (ID) represent one of the biggest medical and social challenges in our society with a prevalence of 1 ~ 3% worldwide. Currently, at least 50% of DD/ID cases remained unexplained. Mental retardation, autosomal dominant 21 (MRD21), caused by mutations inCTCF, is a rare DD/ID-related disease. The clinical phenotypes of MRD21 are highly variable but are not considered sufficiently distinct to be clinically recognizable. To date, only 37 pathogenic/likely pathogenic mutations inCTCFassociated with MRD21 have been identified, and the pathogenesis ofCTCFremains largely unknown. Methods Whole exon sequencing (WES) and bioinformatics analysis were used to identify the mutation as being responsible for an 18-month-old girl with unexplained DD, abnormality of the face and congenital heart disease. The origin of the mutation was analyzed by Sanger sequencing. The pathogenicity of the missense mutation was mainly analyzed by western blot (WB) and molecular dynamics (MD) simulations. Results We identified a novel missense mutation inCTCF(c.1115C > T, p. Ser372Phe) using WES, and Sanger sequencing indicated that the mutation wasde novo. The expression levels of CTCF in 293T cells were unaltered by the missense mutation. However, MD simulations supported the pathogenicity of the p. Ser372Phe mutation, which resulted a decrease in the binding affinity of CTCF with DNA. Conclusions Our study broadens the mutational spectrum ofCTCFand provides a better understanding of the pathogenicity of missense mutations inCTCF. This is the first time that MD simulations have been applied to evaluate the pathogenicity of missense mutations inCTCF.
Effect of combined treatments for the Extraction of tropical hardwood polymeric hemicelluloses
Authors: Brosse Nicolas , Besserer Arnaud , Moukagni Errol Mougnala , Ziegler-Devin Isabelle 
Published: October 2022

Abstract
Five cumulative pretreatments involving bleaching and/or steam explosion and/or alkaline extraction processes have been studied for polymeric hemicelluloses extraction from Okoumé sapwood. Morphological analysis of the cell wall of untreated and steam exploded wood was performed by optical and fluorescence microscopy after staining. Hemicelluloses extracts were characterized by HPEAC/PAD ion chromatography, steric exclusion chromatography (SEC), and high-performance liquid chromatography (HPLC). Near infrared spectroscopy, FTIR and HSQC - NMR spectroscopy analyses were also performed on the hemicelluloses extracts. Alkali extraction of bleached wood led to high yields (≈ 19%) of high molecular mass hemicelluloses (Mw ≈ 65 KDa) while neutral SE pretreatment allowed the recovery of highly acetylated polymers with a low degree of branching. A bleaching step prior to SE increased accessibility to hemicelluloses extraction but weakened the pulp and led to the removal of micro-particles of wood during the SE.
Semi-supervised learning to automate tumor bud detection in cytokeratin-stained whole-slide images of colorectal cancer
Authors: Bokhorst John-Melle , Nagtegaal Iris D. , Zlobec Inti , Dawson Heather , Sheahan Kieran , Simmer Femke , Kirsch Richard , Vieth Michael , Lugli Alessandro , Laak Jeroen , Ciompi Francesco 
Published: October 2022

Abstract
Tumor budding is a histopathological biomarker associated with metastases and adverse survival outcome in colorectal carcinoma (CRC) patients. It is characterized by the presence of single tumor cells or small clusters of cells within the tumor or at the tumor-invasion front. In order to obtain a tumor budding score for a patient, the region with the highest tumor bud density must first be visually identified by a pathologist, after which buds will be counted in the chosen hotspot field. Automation of this process will expectedly increase efficiency and reproducibility. Here we present a deep learning convolutional neural network model that automates the above procedure. For model training we used a semi-supervised learning method, to maximize detection performance despite the limited amount of labeled training data. The model was tested on an independent dataset in which human and machine selected hotspots were mapped in relation to each other and manual and machine detected tumor bud numbers in the manually selected fields were compared. We report the results of the proposed method in comparison with visual assessment by pathologists. We show that automated tumor bud count achieves a prognostic value comparable with visual estimation, while based on an objective and reproducible quantification. We also explore novel metrics to quantify buds such as density and dispersion and report their prognostic value. We have made the model available for research use on https://grand-challenge.org/algorithms/colon-budding-in-ihc/.
A novel FOPID2FF2 controller optimized by a new Opposition based learning (OBL)-Black Widow Optimization (BWO) algorithm: application to CSTR
Authors: v ANUSHA RANI , D Prabhakaran , M Thirumarimurugan 
Published: October 2022

Abstract
In this study a novel controller FOPID2FF2 which is a FOPID controller with two fractional order filter in the two fractional order derivatives was proposed to improve the performance of the Continuous Stirred Tank Reactor (CSTR) system. The proposed controller has nine independent tunable parameters which are optimized by a new metaheuristic algorithm opposition based learning (OBL)-Black widow optimization (BWO). The OBL-BWO chooses its initial population using the opposition based learning (OBL). The OBL helps in improving the exploration capability of the algorithm, avoids the stagnation in local optima, and improves the quality of the initial population for the BWO. The proposed OBL-BWO was tested on standard benchmark functions using the statistical performance and the non-parametric analysis such as Wilcoxon signed rank test, convergence performance was carried out and compared to other state-of-art algorithms. To verify the superiority of the FOPID2FF2 controller optimized using OBL-BWO; FOPID without any filter, FOPID with a integer order filter (FOPIDF), FOPID with one fractional order filter (FOPIDFF) optimized using the same was proposed. The performance of the controller was analysed using the time domain response, frequency domain response and robustnesscriterion. From the statistical analysis the new OBL-BWO was better compared to the state of art algorithms and was used to optimize the FOPID2FF2 controller. From the performance analysis of the mentioned controllers it was identified that the OBL-BWO optimized FOPID2FF2 controller outperforms the other controllers.
An Advanced in Silico Model to Optimize the Pharmacokinetic Studies ON25 Mg2+ – Releasing Porphyrin – Fullerene Nanoparticles in Brain Ischemic Disorders
Authors: Fursov Valentin V. , Namestnikova Daria D. , Kuznetsov Dmitriy A. 
Published: October 2022

Abstract
The In Silico study on neuropharmacokinetiks of some novel porphyrin-fullerene based 25Mg2+ - nanocarriers was performed with an aim to optimize the preclinical research path required for both prevention and correction of the brain ischemic stroke related metabolic disorders such us ATP deplete and its direct consequences. Thus, the local brain tissue hypoxia scenario are in a focus of this novel analytical approach suitable for prediction of some parameters of the 25Mg – magnetic isotope effect promoted antihypoxic activities as long as they relates upon delivery, distribution and intralization of the low toxic/amphiphilic Mg2+ – releasing nanoparticles of PMC16 type. This is the first report ever on mathematical model applied to predict and to prove a mere phenomenon of the “cellular pump” keeping the constant traffic of PMC16 particles towards a brain hypoxia area even when/if lowest concentration of pharmacophore were the case. For experimental verifications of the In Silico platform proposed, a combination of (a) the rat brain occlusion – promoted ischemic stroke model and (b) the capillary zone electrophoretic (CZE) quantification of PMC16-RX nanoparticles in cytosol fractions isolated from intact / penumbra / stroke brain areas, has been employed.
A novel inflammatory indicator in extensive ulcerative colitis; Endocan?
Authors: Albayrak Bulent , Sebin Engin 
Published: October 2022

Abstract
Background and study aim

Ulcerative colitis (UC) is an inflammatory bowel disease characterized by mucosal inflammation that starts from the rectum (distal) and extends proximally, involving the entire colon (pancolitis). In this study, we aimed to evaluate the usability of endocan level in determining the extent and severity of disease in patients with ulcerative colitis and to determine whether it can be a candidate marker for noninvasive evaluation and monitoring since there is not enough data in the literature.

Materials and Methods

Sixty-five people were included in the study, including thirty-five with ulcerative colitis and thirty in the control group. patients with newly diagnosed ulcerative colitis clinically, endoscopically, and histopathologically, without any treatment, and with normal liver and kidney tests were included in the study. Endoscopic scoring of all patients was performed according to the mayo endoscopic scoring (MES) system. Blood samples for CRP (C-reactive protein) and endocan were taken from the patients simultaneously.

Results

There was a significant statistical difference between all patients with ulcerative colitis and the control group in both endocan level and CRP level (p < 0.001). There was a statistically significant difference between endocan levels and CRP levels between the left-distal group and pancolitis (diffuse colitis) patients, but there was no statistical difference between age and MES.

Conclusion

Serum endocan level can be a useful test in determining the extent and severity of ulcerative colitis, making hospitalization decisions, and planning treatment. Stool markers may not always be available due to patient compliance.
Unsteady Incidence and the Correction of Pneumatic Probe Measurements
Authors: Coull John , Ng Henry , Dickens Tony , Serna José 
Published: October 2022

Abstract
Pneumatic probes such as five-hole probes (5HP) have many advantages and can measure flow angles, total and static pressure, velocity and Mach number. In most applications, pressure transducers are connected to the probe head by lengths of tubes, allowing a simple, miniaturised, low-cost probe construction. Such “steady” probes therefore measure a “pneumatically-averaged” flow field, which is of sufficient accuracy for many purposes. However, this paper demonstrates that when the probe incidence angle fluctuates, pneumatic averaging causes errors in the indicated total and static pressure. The aim of this paper is to understand these pneumatic averaging errors and to demonstrate practical means to post-correct data. A quasi-steady model provides an analytical framework to explain the effect of unsteady flow on 5HPs. Total and static pressure coefficients have a largely symmetric response to positive and negative incidence, causing a bias error in the pneumatic average. The steady calibration cannot account for these effects, leading to erroneous measurements. These errors are demonstrated by comparing 5HP and Kiel-shrouded pitot traverses in the shedding wake of a D-shaped body. The 5HP overestimates total pressure loss and drag coefficients by up to 44% and 60% respectively. Similar pneumatic-averaging errors will have affected a substantial body of data in the literature. A post-correction method is demonstrated that can be applied to historical data. Estimates of unsteady flow angles are obtained from a low-cost unsteady computation. The quasi-steady model accurately corrects the 5HP data, reducing errors by an order of magnitude. Similar corrections are obtained using simple correlations based on the root-mean-squared angle fluctuation.
Synthesis of graphene oxide for boron removal: equilibrium, kinetic and thermodynamic studies
Authors: Onen Mehmet Fatih , Aydin Nalan Erdol , Eksik Osman , Demircivi Pelin , Saygili Gulhayat Nasun 
Published: October 2022

Abstract
Graphene oxide is one of the promising carbonous materials, which has such a great application in industry. Modified Hummers method was applied to synthesize graphene oxide. Characterization technics showed that pure graphene oxide was successfully obtained. Its adsorptive properties were investigated by boron adsorption. The results were demonstrated that boron adsorption on graphene oxide was a pH dependent process and maximum adsorption was achieved at pH 6 (0.98 mg g− 1). Langmuir adsorption capacity was calculated as 3.92 mg g− 1. The kinetic data brought to light that pseudo-second-order kinetic model was well described the experimental data.