bluuebunny/crossref_metadata_2025 huggingface dataset:
Palliative care delivery at nursing homes before and after an educational intervention from professionals' perspective: A pre–post design
Authors: Åvik Persson Helene , Ahlström Gerd , Årestedt Kristofer , Behm Lina , Drevenhorn Eva , Sandgren Anna
Published: May 2022

Background

The principles of palliative care were developed in hospices and specialised palliative care units and have not been sufficiently adapted to and evaluated in nursing homes. Therefore, an educational intervention from an interprofessional education perspective was performed within the project Implementation of Knowledge‐Based Palliative Care in Nursing Homes. The aim of this study was to evaluate professionals' experience of palliative care delivery before and after the educational intervention.

Methods

The educational intervention for nursing home professionals consisted of five 2‐h seminars over 6 months at 20 nursing homes. The intervention and control groups consisted of 129 and 160 professionals from 30 nursing homes respectively. The questionnaire ‘Your experience of palliative care’ was completed 1 month before (baseline) and after (follow‐up) the intervention. Descriptive and inferential statistics were calculated.

Results

The positive effects at follow‐up concerned the use of a valid scale for grading symptoms, attendance to the needs of next of kin (including bereavement support), documentation of older persons' wishes regarding place to die and conversations about their transition to palliative care and about how they were treated.

Conclusions

This study demonstrates a promising interprofessional educational model. However, the paucity of improvements brought to light at follow‐up indicates a need for research directed towards a revision of this model. Supervision of professionals during palliative care delivery is one suggestion for change.
Feasibility of an evidence‐based educational intervention in screening immigrant mothers for postpartum depression: A pretest‐posttest experimental design
Authors: Skoog Malin , Rubertsson Christine , Kristensson Hallström Inger
Published: May 2022

Background

Screening immigrant mothers for postpartum depression has been shown to be challenging for health care professionals in handling cultural implications of postpartum depression, communicating through interpreter and applying translated versions of the screening scale.

Aim

The aim of the study was to test the feasibility of an evidence‐based educational intervention for Child Health Services nurses in screening non‐native‐speaking immigrant mothers for postpartum depression.

Ethics

The approval was obtained from Swedish Ethical Review Authority, 2018/1063.

Method

Thirty Child Health Services nurses who conducted screening with assistance of interpreter at least three times per year participated. The study was registered at ClinicalTrials.gov (NCT04167709) and a one‐group pretest‐posttest experimental design was applied. Data on the participants' acceptability and response to outcomes of the intervention were collected by an evaluation questionnaire, the Clinical Cultural Competency Training Questionnaire, the General Self‐efficacy Scale and by self‐reported data on general performance of the task. Descriptive statistics were used to present the results of the evaluation questionnaire and general performance of the task. Paired t‐test were used to compare the scores on the General Self‐efficacy scale, while Wilcoxon signed‐ranked test was used to compare the scores on the Clinical Cultural Competency Training Questionnaire. Qualitative data were analysed by content analysis.

Results

All 30 participants stated that they found the content of the intervention satisfying. The intervention was shown to provide new knowledge and improved their ability to meet the requirements linked to the screening procedure. The intervention affected their self‐estimated cultural competence in some aspects but not their self‐efficacy or general performance of the task.

Conclusions

The intervention was found feasible but require adjustment in the design of the practical training sessions. The use of the provided material, a comic strip on parental support and interpreter information needs further evaluation.
Wage‐setting coordination in a small open economy*
Authors: Juvonen Petteri
Published: May 2022

This paper studies wage‐setting coordination in a two‐sector, open economy dynamic stochastic general equilibrium model. Two large sectoral unions anticipate the effects of their wage demands on aggregate variables. In an open economy, there are externalities that the unions can take into account to increase aggregate welfare, but the strategic interaction between the sectoral unions tends to erode this gain. When wage coordination takes place through a wage norm set by either of the sectors, this minimizes the strategic interaction. However, wage norms create welfare losses as sector‐specific wage adjustment is required to make an efficient adjustment to shocks.
A high‐density EEG investigation into the neurocognitive mechanisms underlying differences between personality profiles in social information processing
Authors: Czekóová Kristína , Shaw Daniel Joel , Lamoš Martin , Špiláková Beáta Havlice , Salazar Miguel , Roman Robert , Brázdil Milan
Published: May 2022

This study investigated whether differences between personality styles in the processing of social stimuli reflect variability in underlying general‐purpose or social‐specific neurocognitive mechanisms. Sixty‐five individuals classified previously into two distinct personality profiles underwent high‐density electroencephalography whilst performing tasks that tap into both aspects of cognitive processing – namely, two distinct facets of general‐purpose response inhibition (interference resolution and action withholding) during social information processing. To determine the stage of processing at which personality differences manifest, we assessed event‐related components associated with the early visual discrimination of social stimuli (N170, N190) and later more general conflict‐related processes (N2, P3). Although a performance index of interference resolution was comparable between the personality profiles, differences were detected in action withholding. Specifically, individuals expressing a wider repertoire of personality styles and more adaptive emotion regulation performed significantly better at withholding inappropriate actions to neutral faces presented in emotional contexts compared with those exhibiting stronger preferences for fewer and less adaptive personality styles and more ruminative affective tendencies. At the neurophysiological level, however, difference between the profiles was observed in brain responses elicited to the same stimuli within the N170. These results indicate that neural processes related to early visual discrimination might contribute to differences in the suppression of inappropriate responses towards social stimuli in populations with different personality dispositions.
Beyond measurement of the motherhood penalty: How social locations shape mothers' work decisions and stratify outcomes
Authors: Deming Sarah Morgan
Published: May 2022

Despite the shrinking of the gender wage gap, women with children continue to experience earnings and career disadvantages that women without children do not experience. This review first summarizes how the severity of the “motherhood penalty” is influenced by a woman's marital status and class in ways that perpetuate existing inequalities. Next, it outlines how the same factors also play salient roles in determining women's workforce behaviors upon transitioning to motherhood, largely dictating the extent to which women's earnings and careers are negatively impacted by the arrival of children. After establishing the stratified lines upon which mothers' decisions are made, and the disparate financial ramifications of their decisions, the paper concludes with a call for future research into the mechanisms that propel mothers' labor market decisions.
Endorsing: An illustrative non‐example of responsive teaching
Authors: Gruver John , Hawthorne Casey
Published: May 2022

We further conceptualize the work of responsive teaching by contrasting it with a type of teaching we call endorsing. We define responsive teaching as a type of teaching in which the teacher: (a) ensures students' ideas are the genesis of ways of reasoning that are eventually taken up by the classroom community and (b) continually assesses and adjusts the focus of class discussions to meet the evolving intellectual needs of the students. In contrast, endorsing occurs when a teacher uses student thinking to advance the mathematical agenda by selectively developing ideas that align with their goals and vision of how the ideas should be developed in class. This type of teachings lacks the second key feature of responsive teaching. We argue that endorsing can be problematic for students' individual learning and discuss implications for teacher development.
Identification of the novel allele HLA‐B*13:157 by sequence‐based typing
Authors: Shi Xiu‐Min , Hu Rui‐Ping , Li Pei‐Tong , Han Wei , Gao Su‐Jun
Published: May 2022

HLA‐B*13:157 has one nucleotide change from HLA‐B*13:02:01:01 at nucleotide 323 changing Tyrosine to Phenylalanine at residue 84.
Characterization of the novel allele HLA‐B*35:251:02
Authors: Shi Xiu‐Min , Li Pei‐Tong , Hu Rui‐Ping , Han Wei , Gao Su‐Jun
Published: May 2022

HLA‐B*35:251:02 has one nucleotide change from HLA‐B*35:22:01:01 at nucleotide 363 changing Serine to Arginine at residue 97.
A novel HLA‐C allele, HLA‐C*15:244
Authors: Shi Xiu‐Min , Hu Rui‐Ping , Li Pei‐Tong , Han Wei , Gao Su‐Jun
Published: May 2022

HLA‐C*15:244 has one nucleotide change from HLA‐C*15:05:01:01 at nucleotide 308 changing Arginine to Glutamine at residue 79.
Four novel HLA‐Class II alleles: DQA1*03:31, DQB1*05:01:01:19, DPA1*02:01:01:20 and DPA1*02:01:01:28, characterized in Spanish individuals
Authors: Marin Rubio Luis Alberto , Rada Martínez Ramón , Ontañon Rodríguez Jesús
Published: May 2022

Identification of the novel DQA1*03:31, DQB1*05:01:01:19, DPA1*02:01:01:20 and DPA1*02:01:01:28 alleles by NGS.
Present status and advances in bladder pain syndrome: central sensitisation and the urinary microbiome
Authors: Offiah Ifeoma , Campbell Rosie , Dua Anupreet , Bombieri Luigi , Freeman Robert
Published: May 2022

Key content

Bladder pain syndrome (BPS) presents as a spectrum of urological symptoms with poorly understood pathophysiology. Bladder mucosal injury secondary to low grade sub‐clinical infection is a possible trigger, leading to nociceptive upregulation and, subsequently, central sensitisation.

Brain abnormalities associated with BPS suggest that neuropathological brain alterations exist, which may contribute to the perceived pain.

Central sensitisation plays a role in the disease pathophysiology via an augmentation in the responsiveness of the central pain signalling neurons.

The urinary microbiome is implicated as a trigger for the development and maintenance of BPS.

Future directions to improve treatment strategies include stratification of patients with BPS into subtypes such as peripheral or central disease and investigation of the urinary microbiome and bladder barrier replacement.

Learning objectives

To update clinicians’ knowledge of current research into the urinary microbiome and pain sensitisation in BPS pathophysiology.

To understand the biodiversity and abundance of urinary microbes and the role of peripheral and central pain sensitisation, which will help identify future management techniques for BPS.

Ethical issues

What are the consequences of long‐term antibiotics use for BPS management on bacterial resistance?
Arthroscopic removal of osteochondral fragments located within the condylar fossa of the third metacarpus/metatarsus in Thoroughbred yearlings
Authors: Barton Charlotte K. , Sandow Cole B. , Rodgerson Dwayne H.
Published: May 2022

Objective

To describe an arthroscopic technique for the removal of osteochondral fragments located within the condylar fossa of the third metacarpal/tarsal bone.

Study design

Retrospective study.

Animals

Thoroughbred yearlings (n = 11).

Methods

Osteochondral fragments located within the condylar fossa of the third metacarpal/tarsal bone identified during presale radiographic examination were removed via arthroscopy, assisted with ultrasonography in select cases. Complete fragment removal was confirmed by intraoperative radiography.

Results

Fragments were successfully removed using rongeurs following dissection of soft tissue attachments using a bipolar radiofrequency probe. No postoperative complications occurred.

Conclusions

An ipsilateral arthroscopic and instrument portal coupled with ultrasound assistance and a radiofrequency probe allowed for successful removal of fragments located within the condylar fossa of the third metacarpal/tarsal bone. The technique allowed for the removal of the unstable osteochondral fragment and associated physical debris.

Clinical significance

The described surgical technique enables the removal of osteochondral fragments located within the condylar fossa of the third metacarpal/tarsal bone with minimal disruption to the surrounding soft tissues.
Fine‐scale prevalence and genetic diversity of urban small mammal‐borne pathogenic Leptospira in Africa: A spatiotemporal survey within Cotonou, Benin
Authors: Dossou Henri‐Joël , Le Guyader Marine , Gauthier Philippe , Badou Sylvestre , Etougbetche Jonas , Houemenou Gualbert , Djelouadji Zouheira , Dobigny Gauthier
Published: May 2022

Leptospirosis is a zoonotic disease that is caused by spirochete bacteria of the genus Leptospira. Around the world, one million people each year are infected, leading to 60,000 deaths. Infection occurs through contact with environmental pathogens excreted by mammals (notably rodents). Data on Leptospira and leptospirosis in Africa are rather scarce, especially in urban habitats though these appear to be favourable environments for the pathogen circulation and human contamination. Using qPCR, DNA sequencing as well as MST/VNTR approaches, we examined Leptospira occurrence and genetic diversity in 779 commensal small mammals that were sampled over 2 years in the city centre of Cotonou, Benin, from three neighbourhoods with contrasting socio‐environmental conditions. Overall prevalence reached 9.1%. However, very marked variations in both space and time were observed, with local peaks of high prevalence but no clear seasonal pattern. In most sites that could be regularly sampled, Leptospira‐positive rodents were found at least once, thus confirming the widespread circulation of the pathogen within small mammal communities of Cotonou. Interestingly, an unusual diversity of small mammal‐borne Leptospira species and genotypes was retrieved, with up to four species and three different genovars within the same neighbourhood, and even instances of two species and two genovars identified simultaneously within the same household. To our knowledge, such a high genetic diversity has never been described at such a fine scale, a fortiori in Africa and, more generally, within an urban environment. Altogether, our results underline that much remains unknown about leptospirosis as well as the associated infectious risk in African cities where the disease may be massively over‐looked.
The Interrogation of Hummingbird: A Qualitative Overview of Traditional Systems Oppression of the Oklahoma Indians
Authors: Elton Robb , Been Arthur
Published: May 2022

Historical analysis of Oklahoma traditions and policies relating to the various tribes reveals a theme of willful malice, organized systematic oppression, theft from, and killing of Indians. This tradition is grounded in racism and greed. Today, this philosophy continues — even after Supreme Court decisions McGirt v. Oklahoma (2020) and Sharp v. Murphy (2020) elucidated the historical harms and apt legal framework. These cases acknowledged Oklahoma Indian territory had always persisted. Through discussion about these cases, related legislation, historical events, including the U.S. Constitution’s Supremacy Clause, this paper connects Oklahoma’s law-breaking customs imposed on the Indians to its founding.
Mental health in COVID-19 Delta variant survivors and healthcare workers during the 2021 outbreak in Nanjing, China: a cross-sectional study
Authors: Chen Bin , Yang Ting , Xiao Lei
Published: May 2022

Since the coronavirus disease 2019 (COVID-19) Delta variant was discovered in India in October 2020, it has rapidly triggered a second outbreak globally. However, the effects of the COVID-19 Delta variant on mental health in survivors and healthcare workers are unclear. The aim of this study is to assess mental health among the COVID-19 Delta variant survivors and healthcare workers, and analyze the possible impact factors. This survey-based, cross-sectional study used the Symptom Check List-90 Revised questionnaire to evaluate psychological status among 60 COVID-19 Delta variant survivors, 162 nurses, and 72 hygienists in Nanjing, China. Three indices and nine dimensions were compared for job, education level, gender, age, and marriage classification. Data were analyzed using SPSS 25.0. Mental distress among participants was not very serious in general. The survivors presented the highest score, followed by the hygienists, and the lowest score was in nurses. Low-educated individuals and women showed significant increase. No significant difference was noted in age and marriage classification. In this survey study of COVID-19 Delta variant survivors and healthcare workers in Nanjing, China, the survivors needed psychological support immediately. Meanwhile, healthcare workers warranted more attention, especially the lower education levels and women. A comprehensive emergency response plan was warranted.
Lack of renoprotective effects of targeting the endothelin A receptor and (or) sodium glucose transporter 2 in a mouse model of Type 2 diabetic kidney disease
Authors: Stuart Deborah , Peterson Caitlin S. , Hu Chunyan , Revelo Monica P. , Huang Yufeng , Kohan Donald E. , Ramkumar Nirupama
Published: May 2022

Two recent clinical trials, using sodium glucose cotransporter (SGLT2) or endothelin-A receptor (ET-A) blocker, reported the first efficacious treatments in 18 years to slow progression of diabetic kidney disease (DKD). We hypothesized that combined inhibition of SGLT2 and ET-A receptor may confer greater protection against renal injury than either agent alone. Uninephrectomized male db/db mice were randomized to four groups: vehicle, SGLT2 inhibitor (dapagliflozin (dapa), 1 mg/kg/day), ET-A blocker (atrasentan (atra), 5 mg/kg/day), or dual treatment from 10 weeks until 22 weeks of age. At 10 weeks of age, no differences were observed in body weight, blood glucose or urinary albumin excretion among the four groups. At 16 and 22 weeks of age, body weight was lower and blood glucose levels higher in the vehicle and atra groups compared with dapa- and dual-treated groups. No notable differences were observed among the four groups in urinary albumin excretion at weeks 16 and 22. Histological analysis showed mild glomerulosclerosis and tubular injury (<5%) in all four groups with reduced glomerulosclerosis in the dual treatment group compared with vehicle. Individual or combined treatment with an SGLT2 inhibitor and (or) an ET-A antagonist did not confer renoprotective effects in this model.
Parton splitting scales of reclustered large-radius jets in high-energy nuclear collisions
Authors: Zhang Shan-Liang , Yang Meng-Quan , Zhang Ben-Wei
Published: May 2022

We carry out the first theoretical investigation on yields and the hardest parton splitting of large-radius jets reclustered from small radius ($$R=0.2$$

R
=
0.2

) anti-$$k_t$$

k
t

jets in Pb + Pb collisions, and confront them with the recent ATLAS measurements. The Linear Boltzmann Transport (LBT) model is employed for jet propagation and jet-induced medium excitation in the hot-dense medium. We demonstrate that, with their complex structures, the medium suppression of the reclustered large radius jets at $$R=1$$

R
=
1

is larger than that of inclusive $$R=0.4$$

R
=
0.4

jets defined conventionally. The large radius jet constituents are reclustered with the $$k_t$$

k
t

algorithm to obtain the splitting scale $$\sqrt{d_{12}}$$

d
12

, which characterizes the transverse momentum scale for the hardest splitting in the jet. The large-radius jet production as a function of the splitting scale $$\sqrt{d_{12}}$$

d
12

of the hardest parton splitting is overall suppressed in Pb + Pb relative to p + p collisions due to the reduction of jets yields. A detailed analyses show that the alterations of jet substructures in Pb + Pb also make significant contribution to the splitting scale $$\sqrt{d_{12}}$$

d
12

dependence of the nuclear modification factor $$R_{AA}$$

R

AA

. Numerical results for the medium modifications of the jet splitting angle $$\Delta R_{12}$$

Δ

R
12

and the splitting fraction z are also presented.
EPPS21: a global QCD analysis of nuclear PDFs
Authors: Eskola Kari J. , Paakkinen Petja , Paukkunen Hannu , Salgado Carlos A.
Published: May 2022

We present an updated global analysis of collinearly factorized nuclear parton distribution functions (PDFs) at next-to-leading order in perturbative QCD. In comparison to our previous fit, EPPS16, the present analysis includes more data from proton-lead collisions at the Large Hadron Collider: 5 TeV double-differential CMS dijet and LHCb D-meson data, as well as 8 TeV CMS W$$^\pm $$

±

data. These new data lead to significantly better-constrained gluon distributions at small and intermediate values of the momentum fraction x, confirming the presence of shadowing and antishadowing for gluons in large nuclei. In addition, we include Jefferson Lab measurements of deeply inelastic scattering which probe nuclear PDFs at large x and low virtualities. For the first time within the Hessian framework, we now also explore the uncertainties of nuclear PDFs due to the errors in the baseline proton PDFs. We release the results of our analysis as a new public parametrization of nuclear PDFs called EPPS21.
New Traveling Wave Solutions for the (2 + 1)-Dimensional Heisenberg Ferromagnetic Spin Chain Equation
Authors: Han Tianyong , Wen Jiajin , Li Zhao , Yuan Jun
Published: May 2022

The principal objective of this article is to construct new exact soliton solutions of the (2 + 1)-dimensional Heisenberg ferromagnetic spin chain equation which investigates the nonlinear dynamics of magnets. Through using the complete discrimination system method, the traveling wave solutions are obtained. As a result, we get the traveling wave solutions of the Heisenberg ferromagnetic spin chain equation, which include rational function solutions, Jacobian elliptic function solutions, hyperbolic function solutions, trigonometric function solutions, inverse trigonometric function, logarithmic function. Some graphical representations of the problems and that of comparison are also provided.
Hamacher Weighted Aggregation Operators Based on Picture Cubic Fuzzy Sets and Their Application to Group Decision-Making Problems
Authors: Yanhong Li , Ambrin Rabia , Ibrar Muhammad , Ali Khan Muhammad
Published: May 2022

In this study, an extended version of intuitionistic cubic fuzzy Hamacher weighted aggregation operators is the primary objective of the expected study. We establish new concept, picture cubic fuzzy set, and utilize this new concept for ranking in decision analysis. Picture cubic fuzzy Hamacher weighted averaging operator, picture cubic fuzzy Hamacher order weighted averaging, and picture cubic fuzzy Hamacher hybrid averaging operator are developed on the basis of picture cubic fuzzy sets. Some unique cases and few suitable properties of these proposed operators are also examined. In addition, based on these expected operators, we are designing a new multicriteria group decision-making framework. The proposed aggregation operators can be used in the performance evaluation of energy projects and security systems and devices. We give an illustrative example for the selection of small hydropower plants locations as an implementation and appropriateness of the proposed algorithm. Finally, we perform a comparative review of the designed algorithm with intuitionistic cubic fuzzy Hamacher weighted averaging operators to expose the new algorithm efficiency, feasibility, and goodness.
Quadruple Best Proximity Points with Applications to Functional and Integral Equations
Authors: Hammad Hasanen A. , Rashwan Rashwan A. , Nafea A. , Jarad Fahd
Published: May 2022

This manuscript is devoted to obtaining a quadruple best proximity point for a cyclic contraction mapping in the setting of ordinary metric spaces. The validity of the theoretical results is also discussed in uniformly convex Banach spaces. Furthermore, some examples are given to strengthen our study. Also, under suitable conditions, some quadruple fixed point results are presented. Finally, as applications, the existence and uniqueness of a solution to a system of functional and integral equations are obtained to promote our paper.
Ibrutinib Plus R-ICE Induces Remission in Blastoid Variant Mantle Cell Lymphoma with CNS Relapse
Authors: Oh Timothy S. , Burkart Madelyn , Behdad Amir , Savas Hatice , Karmali Reem
Published: May 2022

Mantle cell lymphoma (MCL) is an aggressive, difficult to treat subtype of lymphoma, resulting in relapses and poor outcomes. Novel agents such as Bruton tyrosine kinase (BTK) inhibitors have been studied in the treatment of relapsed/refractory (R/R) MCL. BTK inhibitor ibrutinib, in particular, has demonstrated improvement in survival outcomes of R/R MCL. Despite these advancements, many cases of MCL, including the more aggressive blastoid and pleomorphic variants, will undergo disease progression leading to poor survival outcomes. Blastoid variant MCL is associated with an increased risk of central nervous system (CNS) involvement, causing high mortality rates. In this case report, we discuss a patient with a diagnosis of blastoid MCL with CNS relapse who achieved a complete response (CR) after receiving standard rituximab plus ifosfamide-carboplatin-etoposide (R-ICE) salvage chemotherapy with the addition of ibrutinib. The patient subsequently underwent autologous stem cell transplantation (autoSCT) and maintained CR with ibrutinib maintenance.
Cleanup Sketched Drawings: Deep Learning-Based Model
Authors: Mohammed Amal Ahmed Hasan , Chen Jiazhou
Published: May 2022

Rough drawings provide artists with a simple and efficient way to express shapes and ideas. Artists frequently use sketches to highlight their envisioned curves, using several groups’ raw strokes. These rough sketches need enhancement to remove some subtle impurities and completely simplify curves over the sketched images. This research paper proposes using a fully convolutional network (FCNN) model to simplify rough raster drawings using deep learning. As input, the FCNN takes a sketch image of any size and automatically generates a high-quality simplified sketch image as output. Our model intuitively addresses the shortcomings in the rough sketch image, such as noises and unwanted background, as well as the low resolution of the rough sketch image. The FCNN model is trained by three raster image datasets, which are publicly available online. This paper demonstrates the efficiency and effectiveness of using deep learning in cleaning and improving the roughly drawn image in an automatic way. For evaluating the results, the mean squared error (MSE) metric was used. From experimental results, it was observed that an enhanced FCNN model reported better accuracy, reducing the prediction error by 0.08 percent for simplifying the rough sketch compared to the existing methods.
A Novel Inflammation-Related Gene Signature for Overall Survival Prediction and Comprehensive Analysis in Pediatric Patients with Wilms Tumor
Authors: Zhang Jiahao , Lai Yongchang , Zhu Langjing , Lu Zechao , Hu Chuxian , Zhou Haobin , Lu Zeguang , Tang Zhicheng , He Zhaohui , Tang Fucai
Published: May 2022

Wilms tumor (WT) is a common pediatric renal cancer, with a poor prognosis and high-risk recurrence in some patients. The inflammatory microenvironment is gradually gaining attention in WT. In this study, novel inflammation-related signatures and prognostic model were explored and integrated using bioinformatics analysis. The mRNA profile of pediatric patients with WT and inflammation-related genes (IRGs) were acquired from Therapeutically Available Research to Generate Effective Treatments (TARGET) and Gene Set Enrichment Analysis (GSEA) databases, respectively. Then, a novel prognostic model founded on 7-IRGs signature (BICC1, CSPP1, KRT8, MYCN, NELFA, NXN, and RNF113A) was established by the least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression to stratify pediatric patients with WT into high- and low-risk groups successfully. And a stable performance of the prognostic risk model was verified in predicting overall survival (OS) by receiver-operating characteristic (ROC) curves, Kaplan-Meier (KM) curves, and independent prognostic analysis (

p
<
0.05

). In addition, a novel nomogram integrating risk scores with good robustness was developed and validated by

C

-index, ROC, and calibration plots. The potential function and pathway were explored via Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and GSEA, with mainly inflammation and immune-related biological processes. The higher-risk scores, the lower immune infiltration, as shown in the single-sample GSEA (ssGSEA) and tumor microenvironment (TME) analysis. The drug sensitivity analysis showed that regulating 7-IRGs signature has a significant correlation with the chemotherapy drugs of WT patients. In summary, this study defined a prognostic risk model and nomogram based on 7-IRGs signature, which may provide novel insights into clinical prognosis and inflammatory study in WT patients. Besides, enhancing immune infiltration based on inflammatory response and regulating 7-IRGs signature are beneficial to ameliorating the efficacy in WT patients.
The Blockchain Technology Applied in the Development of Real Economy in Jiangsu under Deep Learning
Authors: Shi Wenquan , Huang Qibao
Published: May 2022

This study focuses on the financing difficulties of small and medium enterprises (SMEs) in China to study the application of blockchain technology in developing the real economy. Deep learning neural network is applied to the vulnerability analysis and detection of smart contracts in blockchain technology by analyzing the connotation of blockchain technology and deep learning. A multiparty joint financial service platform based on blockchain technology is established to help SMEs financing institutions reduce transaction costs, thereby helping them reduce loan interest rates. Finally, Jiangsu Province is studied as a pilot unit. The results show that the Recall and F-score of Bidirectional Neural Network for smart contract vulnerability detection are higher than those of the original neural network. The Recall rate and F-score value of the Wide and Deep model are up to 96.2% and 94.7%, which are higher than those of other vulnerability detection schemes. The Timestamp vulnerability has the highest Recall rate, 94.2%, which can rely on a large amount of valid data to improve detection efficiency. The distribution of financing needs of SMEs in Jiangsu Province from 2020 to 2021 shows that the loan number of SMEs is generally not high. Still, financial institutions and enterprises must spend the same transaction cost. After a technology company in Nanjing made a loan through a blockchain financial service platform, its financing cost decreased by 0.5331%. Blockchain technology has played a great role in the financing process of SMEs, reducing intermediate links and credit costs, and promoting the development of SMEs and the real economy.
Delayed Acetaminophen Absorption Resulting in Acute Liver Failure
Authors: Tan Huiling , Stathakis Paul , Varghese Benoj , Buckley Nicholas A. , Chiew Angela L.
Published: May 2022

Introduction. Acetaminophen is a common medication involved in deliberate and accidental self-poisoning. The acetaminophen treatment nomogram is used to guide acetylcysteine treatment. It is rare to develop hepatotoxicity with an initial acetaminophen concentration below the nomogram line. We present a case of acetaminophen ingestion with an initial concentration below the nomogram line that developed hepatic failure, due to a delayed peak acetaminophen concentration secondary to coingesting medications that slow gastric emptying. Case Report. A 43-year-old (55 kg) female presented after ingesting an unknown quantity of acetaminophen, clonidine, and alcohol. Her acetaminophen level was 41 mg/L (256 μmol/L) at 4.5 h post-ingestion, well below the nomogram line, and ALT was 25 U/L. Hence, acetylcysteine was not commenced. She was intubated for decreased level of conscious. A repeat acetaminophen level 4 h later was 39 mg/L (242 μmol/L), still below the nomogram line. She was extubated 24 h later.At 38 h post-ingestion she developed abdominal pain, the repeat acetaminophen level was 85 mg/L (560 μmol/L), ALT was 489 U/L, and acetylcysteine was commenced. The patient developed hepatic failure with a peak ALT of 7009 U/L and INR of 7.5 but made a full recovery. It was discovered that she had ingested a combination acetaminophen product containing dextromethorphan and chlorphenamine. Acetaminophen metabolites were measured, including nontoxic glucuronide and sulfate conjugates and toxic cytochrome P450 (CYP) metabolites. The metabolite data demonstrated increasing CYP metabolites in occurrence with the delayed acetaminophen peak concentration. Discussion. Opioids and antimuscarinic agents are known to delay gastric emptying and clonidine may also have contributed. These coingested medications resulted in delayed acetaminophen absorption. This case highlights the issue of altered pharmacokinetics when patients coingest gut slowing agents.
Abnormal Proteomics Profile of Plasma Reveals the Immunological Pathogenesis of Severe Aplastic Anemia
Authors: Qi Weiwei , Zhang Yu , Yang Wenhao , Liu Chunyan , Wang Huaquan , Fu Rong , Shao Zonghong
Published: May 2022

Severe aplastic anemia (SAA) is an immune-mediated bone marrow failure characterized by pancytopenia. This study was aimed at uncovering proteins of plasma that were differentially expressed in SAA patients. 8 SAA patients and 8 health controls were enrolled and detected by data independent acquisition (DIA) technology. 154 differential expression proteins (DEPs) in plasma of SAA patients were identified. GO and KEGG analyses indicated DEPs were mainly involved in the immune system process. Specifically, C-C motif chemokine 18 (CCL18), matrix metalloproteinase-3 (MMP3), histidine-rich glycoprotein (HRG), and lactotransferrin (lactoferrin (Lf)) may play an important role in the immune pathogenesis of SAA. CCL18, MMP3, HRG, and Lf might be potential biomarkers for SAA.
Teaching Innovation and Development of Ideological and Political Courses in Colleges and Universities: Based on the Background of Wireless Communication and Artificial Intelligence Decision Making
Authors: Xia Zhenpeng , Liu Juan
Published: May 2022

After entering the first decade of the new century, information technology has brought some profound changes in all aspects of social life. In the field of education, teaching mode to teaching concept has been severely impacted. Especially in the more open university classroom, the changes brought about by this shock are more pronounced. Classrooms of all majors have ushered in a wave of innovation. The use of cutting-edge information technology to build efficient classrooms has become the direction of multidisciplinary efforts. While promoting the upgrading of ideological and political classroom teaching in colleges and universities, it has become a common topic for ideological and political teachers in colleges and universities to effectively promote the effectiveness of ideological and political classroom teaching. In order to investigate the current teaching recognition of ideological and political courses in colleges and universities and the need for courses to integrate new technologies, this study used questionnaire survey and group comparison analysis as the main methods to distribute online questionnaires to 621 students from 6 colleges and universities in Nanjing, Jiangsu Province. It is divided into students’ interest in ideological and political courses and the interest of teaching content. According to the analysis of previous literature, a control group experiment of ideological and political courses is designed. The experimental results show that after wireless communication and artificial intelligence technology are combined with ideological and political courses, students’ learning is more efficient. Finally, according to the results of experiments and questionnaires, the problems existing in the current teaching of ideological and political courses in colleges and universities are summarized, and then, innovative reform suggestions for the teaching methods of ideological and political courses are put forward.
Adaptive Clustering Algorithm for IIoT Based Mobile Opportunistic Networks
Authors: Zhao Yan , Akter Farzana
Published: May 2022

The clustering algorithms play a crucial role for energy saving solutions in mobile opportunistic networks. If the selection of cluster head is made appropriately, then the energy can be consumed optimally. The existing clustering algorithms do not consider the optimal selection of the cluster head resulting in low survival rates and high energy consumption rates in nodes. The adaptive clustering is required in Industrial Internet of Things (IIoT) based sophisticated networks where seamless connectivity is imperative for rapid communication. In order to meet this research gap, an adaptive clustering algorithm for mobile opportunistic networks is proposed within military bases that uses a heuristic algorithm (GA) for adaptive clustering. An analysis of the opportunity network at the connected military base is carried out and the mobile opportunity model is constructed using the adaptive clustering for the similar traffic. In a mobile machine network, the next hop node is determined by the node clustering principle. A LEACH clustering protocol enables communication between cluster heads and base stations based on single-hop and multihop cluster nodes. In order to perform adaptive clustering of mobile network nodes based on network partitioning and scheduling of clusters, genetic algorithms are used. The proposed approach can be applied to the IIoT systems in places where adaptive clustering is required to optimize energy consumption, to reduce latency rates, and to enhance the throughput of mobile networks. The experimental findings suggest that the proposed adaptive strategy is capable of optimizing energy consumption rates, reducing network latency, and boosting efficiency by increasing throughput in mobile opportunistic networks.
Research on Style Design of Suit Based on Computer Interactive Genetic Algorithm
Authors: Zhang Lan
Published: May 2022

In order to study the suit style design based on computer interactive genetic algorithm. Firstly, this paper summarizes the development status of garment customization and interactive evolutionary computing and studies the steps and system flow of customized garment design based on interactive evolutionary computing and the automatic generation method of garment style. Then, taking the suit as an example, the principal component analysis method is used to extract the elements of clothing design and code it. Combined with the interactive genetic algorithm, the user-satisfied clothing style binary string is generated, and the style binary string is decoded into a visual style map through the decoding algorithm. Finally, based on MATLAB platform, a customized clothing system prototype based on interactive evolutionary computing is realized. Users can carry out innovative clothing design through interactive graphical interface, automatically draw the clothing style designed by users, and provide method and technical support for clothing customization. The experimental results show that in the process of interaction design, try to solve the initial population required by the design, evolve and derive offspring on a large scale through genetic operation, retrieve the whole design feasible region, and obtain the optimal solution in line with user preferences.
A Pan-Cancer Analysis of UBE2S in Tumorigenesis, Prognosis, Pathway, Immune Infiltration and Evasion, and Therapy Response from an Immune-Oncology Perspective
Authors: Bao Haili , Luo Yi , Ding Guoshan , Fu Zhiren
Published: May 2022

Background. Ubiquitin conjugating enzyme E2S (UBE2S), a member of the ubiquitin-conjugating enzyme family, is known to play a pivotal role in tumorigenesis and progression in some tumor types. However, whether UBE2S plays an irreplaceable role in the immune-oncology context of tumorigenesis, prognosis, pathogenesis, immune regulation, and therapeutic response through certain common molecular mechanisms remains to be defined. The present pan-cancer study was intended to decipher the landscape of UBE2S in pathologic, immunological, and therapeutic aspects across various cancers. Methods. Data used for UBE2S analysis were obtained from TCGA database. The pan-cancer analysis was mainly focused on the expression patterns, prognostic values, mutation landscapes, biological pathways, tumor microenvironment remodeling, and therapeutic resistance of UBE2S using multiple databases including cBioPortal, Cancer Cell Line Encyclopedia (CCLE) database, Tumor Immune Estimation Resource (TIMER), and Gene Expression Profiling Interactive Analysis (GEPIA). External experimental validation was conducted to delineate the association of UBE2S with tumor phenotypes through assays of proliferation, colony formation, and migration. Data processing, statistical analysis, and plotting were performed using R software and GraphPad Prism software. Results. UBE2S was aberrantly expressed in almost all human cancers, and elevated UBE2S expression was unfavorably associated with the clinical pathological stage and prognosis. DNA methylation and RNA modification were significantly correlated with the UBE2S expression level. The results of enrichment analysis revealed that UBE2S positively regulated MYC, G2M cell cycle, and DNA repair pathways and negatively regulated adipogenesis, fatty acid metabolism, and heme metabolism. In addition, UBE2S exhibited a significantly positive correlation with myeloid-derived suppressor cell MDSC and Th2 subsets in almost all tumors analyzed. UBE2S could confer immune evasion via coexpressed immunoinhibitors and T cell exhaustion. Notably, a higher UBE2S expression indicated a higher level of stemness, TMB, MSI, and MMR deficiency and DNA methyltransferases, as well as chemotherapeutic resistance in various cancers. Notably, in vitro functional validation showed that UBE2S knockdown attenuated the phenotypes of proliferation, clonogenicity, and migration in hepatocellular carcinoma cells. Conclusions. Our study provided meaningful clues to support UBE2S as an immune-oncogenic molecule and shed light on potential applications of UBE2S in cancer detection, prognostic prediction, and therapeutic response assessment.
AHCYL1 Is a Novel Biomarker for Predicting Prognosis and Immunotherapy Response in Colorectal Cancer
Authors: Li Xubin , Zhang Mengqiao , Yu Xue , Xue Mei , Li Xiaowei , Ma Chao , Jia Wei , Gao Qiang , Kang Chunbo
Published: May 2022

Background. Colorectal cancer (CRC) is the third most frequent cancer worldwide. The AHCYL1 gene is required for CNV and has a close association with the tumor immune microenvironment. However, the predictive value of the AHCYL1 gene in patients with CRC remains unknown. Methods. AHCYL1 gene with prognostic potential was comprehensively analyzed. Next, using LASSO Cox regression, we fully examined and integrated the AHCYL1 and AHCYL1-related genes from TCGA database. Meanwhile, TCGA database was used to study the connection between AHCYL1 and the tumor immune microenvironment and tumor mutation burden (TMB) in CRC. The influence of AHCYL1 in tumor growth and the recruiting ability of CD8+ T cells were verified, respectively, in vivo and in tissues. To ascertain the connection between AHCYL1 and AHCYL1-related genes and the prognosis of CRC, a prognostic model was created and validated. Result. We demonstrated that AHCYL1 has a differential expression and patients with AHCYL1 deletion get shorter survival in CRC. Additionally, the tissues without AHCYL1 have a weaker ability to recruit the natural killer (NK) cell, CD8+ T cells, and tumor-infiltrating lymphocytes (TILs) and response to immunotherapy. Additionally, knockdown of AHCYL1 promoted tumor growth in the CRC mouse model and recruited lower CD8+ T cells in CRC tissues. TCGA database was used to classify patients into low- and high-risk categories based on the expression of four genes. Meanwhile, we discovered an association between the low-risk group and a lower TMB and a higher response to immunotherapy. Finally, a predictive nomogram based on these genes was developed and verified, yielding a C-index of 0.74. Conclusion. For CRC patients, the prognostic model based on AHCYL1 and AHCYL1-related genes showed a high predictive performance in terms of prognosis and immunotherapy response.
On the Modeling of RTT Time Series for Network Anomaly Detection
Authors: Kuang Ye , Li Dandan , Huang Xiaohong , Zhou Mo
Published: May 2022

Network anomalies can seriously influence the performance of networks and cause huge financial losses. Existing studies modeled the round-trip time (RTT) time series of each link and identified their abnormal patterns independently to detect the network anomalies. However, they rarely investigated the correlation among links, and they rarely considered the goodness of fit and complexity in model selection, which led to low timeliness and accuracy of detection. They failed to understand the impact of network anomalies. In this work, we propose the RTS detection approach to address these challenges. Specifically, we, firstly, propose a link clustering method to cluster the links into different classes based on the topological location of pairwise links and the similarity between their RTT time series. Then, for each class of links, we consider the goodness of fit and complexity in model selection and select the suitable model to analyze their RTT time series. Finally, we propose a detection method to detect the network anomalies by observing the deviation between the probability density distribution of the current RTT values and the reference value. We perform experiments with data from public measurement infrastructures like RIPE Atlas to evaluate the performance of our approach. The results show that our approach can not only reduce the detection time and improve the accuracy of detection effectively but also can roughly evaluate the impact of network anomalies.