bluuebunny/crossref_metadata_2025 huggingface dataset:
Malignant struma ovarii with late recurrence harbouring high microsatellite instability
Authors: Chung Su Yun , Chi Jeffrey , Park Jennifer , John Veena , Seetharamu Nagashree
Published: June 2021

Struma ovarii (SO) is a rare ovarian teratoma containing abundant mature thyroid tissue. Malignant transformation is even less common and distant metastasis is documented in about 5%–10%. The time from diagnosis of primary SO to metastatic disease varies. As malignant SO is rare, there are no uniform diagnostic criteria or treatment guidelines. Management is usually extrapolated from that of thyroid malignancy. We report a patient who relapsed 12 years from the initial diagnosis and metastasised to the lungs 5 years after the first recurrence. Our patient was treated with total thyroidectomy followed by radioactive iodine, and retreated on progression in the lungs. The tumour harboured high microsatellite instability and treatment with programmed cell death protein 1 inhibitor was initiated. This case shows the long latency of SO with the rare phenomenon of metastasis. It also highlights the importance of molecular testing for rare cancers such as this.
Monoclonal B lymphocytosis in a kidney transplant recipient
Authors: Plessi Jessica , Mori Giacomo , Magistroni Riccardo , Cappelli Gianni
Published: June 2021

Monoclonal B lymphocytosis (MBL) is a lymphoproliferative condition characterised by expansion of a B-cell clone in peripheral blood, with an often indolent clinical course. The presence of a B clonal population alone is several hundred times more common in the general population than chronic lymphocytic leukaemia and other non-Hodgkin’s lymphoma subtypes, it usually does not represent a malignant condition and it requires follow-up only, without specific treatment. There are few studies describing MBL in solid organ transplant recipients, thus, the concern is raised when enrolling MBL affected subjects in waiting lists. We report the experience of a patient affected by MBL who underwent kidney transplantation, with particular attention to preoperative screening and immunosuppressants impact on post-transplant lymphoproliferative disease risk, to aid clinicians in the evaluation process of transplant candidates affected by similar conditions.
New onset headache caused by histiocytic sarcoma of the spinal cord and leptomeninges: a case report
Authors: Silsby Matthew , Varikatt Winny , Vucic Steve , Menon Parvathi
Published: June 2021

Background

Headache due to raised intracranial pressure is rarely caused by spinal lesions. We describe a patient with primary histiocytic sarcoma who presented with a new onset headache with features of raised intracranial pressure and subtle signs of cauda equina syndrome due to predominant lower spinal cord infiltration and minimal intracranial involvement.

Case

A previously well 54-year-old man presented with a 2-month history of new onset headache with features of raised intracranial pressure. Progression of lower limb weakness was delayed and mild with diagnostic delay resulting from the primary presentation with headache leading to an initial focus on cerebral pathology. Subsequent investigations revealed a previously unreported presentation of primary histiocytic sarcoma infiltrating the cauda equina causing raised intracranial pressure headache.

Conclusion

This case highlights the importance of a broad search in the investigation of new onset raised intracranial pressure headache, including imaging of the lower spinal cord. Primary histiocytic sarcoma should be considered in the differential diagnosis of this rare syndrome.
Comparing and determining factors associated with hypertension self-care profiles of patients in two multi-ethnic Asian countries: cross-sectional studies between two study populations
Authors: Wee Sabrina Yi-Mei , Salim Hani , Mawardi Maliza , Koh Yi Ling Eileen , Ali Hanifatiyah , Shariff Ghazali Sazlina , Lee Ping Yein , Ching Siew Mooi , Shamsuddin Nurainul Hana , Tan Ngiap Chuan
Published: June 2021

Objectives

To compare the sociodemography, disease characteristics and hypertension self-care profiles and to determine the factors influencing Hypertension Self-Care Profiles (HTN-SCP) in two populations in primary care settings from Singapore and Malaysia.

Design

Cross-sectional, cross national.

Setting

Multi-centre, primary care clinics Malaysia and Singapore.

Participants

1123 adults with hypertension enrolled and analysed.

Primary and secondary outcome measures

Comparison between sociodemography, disease characteristics and the mean scores of HTN-SCP domains (behaviour, motivation and self-efficacy) and the factors influencing hypertension self-care.

Results

1123 adults with hypertension attending primary care clinics in Malaysia and Singapore were involved. The participants’ mean age was 63.6 years (SD 9.7) in Singapore and 60.4 (SD 9.1) in Malaysia. Most of the participants in Singapore had tertiary education (22.3%) compared with Malaysia (13.0%), p<0.001. A higher proportion of participants from Singapore had controlled blood pressure (74.6%) compared with Malaysia (33.8%), p<0.001. The mean total score of HTN-SCP was significantly higher among Singapore participants compared with Malaysia participants 190 (SD 28) versus 184 (SD 23) (p<0.001). Similarly, the mean score for motivation domain 67 (SD 10) versus 65 (SD 9), followed by self-efficacy score 65 (SD 11) versus 62 (SD 9) and behaviour score (58 SD 9 vs 56 SD 9) were higher among Singapore participants. In both countries, the factors which influenced higher HTN-SCP mean scores across all domains were being Indian and had tertiary education.

Conclusions

The study population in Singapore had a higher HTN-SCP mean score compared with Malaysia. The common factors influencing higher HTN-SCP mean scores at both study sites were ethnicity and level of education. Future intervention to improve self-care among people with hypertension may need to be tailored to their behaviour, motivation and self-efficacy levels.
Primary care professionals’ attitudes towards digital health interventions for common mental disorders: study protocol for a mixed methods systematic review
Authors: Hanf Maria , Hirt Julian , van den Akker Marjan
Published: June 2021

Introduction

Mental disorders such as depression are common, and an estimated 264 million people are affected by them throughout the world. In recent years, studies on digital health interventions to treat mental disorders have shown evidence of their efficacy, and interest in using them has increased as a result. In the primary care setting, depression and anxiety are the two most frequently diagnosed and treated mental disorders. When they do not refer them to specialists, primary care professionals such as general practitioners treat patients with mental disorders themselves but have insufficient time to treat them adequately. Furthermore, there is a shortage of psychotherapists and those that exist have long waiting lists for an appointment. The purpose of this mixed methods systematic review is to explore the attitudes of primary care professionals towards the use of digital health interventions in the treatment of patients with mental disorders. Their attitudes will provide an indication whether digital mental health interventions can effectively complement standard care in the primary care setting.

Methods and analysis

We searched for qualitative, quantitative and mixed methods studies published in English, German, Spanish, Russian, French and Dutch after January 2010 for inclusion in the review. The included studies must involve digital mental health interventions conducted via computer and/or mobile devices in the primary care setting. The search was conducted in July 2020 in the following electronic bibliographic databases: MEDLINE, Embase, CINAHL, PsycINFO and Web of Science Core Collection. Two reviewers will independently screen titles, abstracts and full texts and extract data. We will use the ‘Integrated methodology’ framework to combine both quantitative and qualitative data.

Ethics and dissemination

Ethical approval is not required. We will disseminate the results of the mixed methods systematic review in a peer-reviewed journal and scientific conferences.

PROSPERO registration number

CRD42020188879.
Blood pressure and cardiac output during caesarean delivery under spinal anaesthesia: a prospective cohort study
Authors: Michelsen Trond Melbye , Tronstad Christian , Rosseland Leiv Arne
Published: June 2021

Objectives

We have previously established a method to measure transfer of nutrients between mother, placenta and fetus in vivo. The method includes measurements of maternal and fetal blood flow by Doppler ultrasound prior to spinal anaesthesia. Spinal anaesthesia affects maternal blood pressure and cardiac output. We aimed to determine the effect of spinal anaesthesia in mothers undergoing an elective caesarean section on blood pressure, heart rate and cardiac output, and whether cardiac output levels were comparable before induction of spinal anaesthesia and before delivery.

Design

Prospective cohort study.

Setting

Tertiary hospital in Norway.

Participants

76 healthy women with uneventful pregnancies undergoing an elective caesarean section.

Interventions

We induced spinal anaesthesia with a standard prevention of hypotension including intravenous fluid coloading and phenylephrine infusion.

Primary and secondary outcome measures

Primary outcome measure was maternal cardiac output, and secondary outcome measures were invasive systolic blood pressure and heart rate. We measured heart rate and blood pressure by continuous invasive monitoring with a cannula in the radial artery. Cardiac output was estimated based on continuous arterial waveform. We compared maternal parameters 30 s before induction of spinal anaesthesia to 30 s before delivery.

Results

Median age at delivery was 34.5 (range 21–43) years and 17 of 76 women were nulliparous. The most prevalent indications were previous caesarean section and maternal request. Among 76 included women, 71 had sufficient data for analysis of endpoints. Median cardiac output was 6.51 (IQR (5.56–7.54) L/min before spinal anaesthesia and 6.40 (5.83–7.56) L/min before delivery (p=0.40)). Median invasive systolic blood pressure increased from 128.5 (120.1–142.7) mm Hg to 134.1 (124.0–146.6) mm Hg (p=0.014), and mean heart rate decreased from 86.0 (SD 13.9) to 75.2 (14.2) (p<0.001).

Conclusions

Maternal cardiac output at the time of caesarean delivery is comparable to levels before induction of spinal anaesthesia.

Trial registration number

NCT00977769.
Ascertaining Framingham heart failure phenotype from inpatient electronic health record data using natural language processing: a multicentre Atherosclerosis Risk in Communities (ARIC) validation study
Authors: Moore Carlton R , Jain Saumya , Haas Stephanie , Yadav Harish , Whitsel Eric , Rosamand Wayne , Heiss Gerardo , Kucharska-Newton Anna M
Published: June 2021

Objectives

Using free-text clinical notes and reports from hospitalised patients, determine the performance of natural language processing (NLP) ascertainment of Framingham heart failure (HF) criteria and phenotype.

Study design

A retrospective observational study design of patients hospitalised in 2015 from four hospitals participating in the Atherosclerosis Risk in Communities (ARIC) study was used to determine NLP performance in the ascertainment of Framingham HF criteria and phenotype.

Setting

Four ARIC study hospitals, each representing an ARIC study region in the USA.

Participants

A stratified random sample of hospitalisations identified using a broad range of International Classification of Disease, ninth revision, diagnostic codes indicative of an HF event and occurring during 2015 was drawn for this study. A randomly selected set of 394 hospitalisations was used as the derivation dataset and 406 hospitalisations was used as the validation dataset.

Intervention

Use of NLP on free-text clinical notes and reports to ascertain Framingham HF criteria and phenotype.

Primary and secondary outcome measures

NLP performance as measured by sensitivity, specificity, positive-predictive value (PPV) and agreement in ascertainment of Framingham HF criteria and phenotype. Manual medical record review by trained ARIC abstractors was used as the reference standard.

Results

Overall, performance of NLP ascertainment of Framingham HF phenotype in the validation dataset was good, with 78.8%, 81.7%, 84.4% and 80.0% for sensitivity, specificity, PPV and agreement, respectively.

Conclusions

By decreasing the need for manual chart review, our results on the use of NLP to ascertain Framingham HF phenotype from free-text electronic health record data suggest that validated NLP technology holds the potential for significantly improving the feasibility and efficiency of conducting large-scale epidemiologic surveillance of HF prevalence and incidence.
Retrospective analysis of infection and antimicrobial resistance patterns of Mycoplasma genitalium among pregnant women in the southwestern USA
Authors: Stafford Irene A , Hummel Kelsey , Dunn James J , Muldrew Kenneth , Berra Alexandra , Kravitz Elizabeth Skye , Gogia Soumya , Martin Irene , Munson Erik
Published: June 2021

Background

Mycoplasma genitalium is a sexually transmitted infection (STI) pathogen. There have been no published studies concerning symptomatology, prevalence data, antibiotic resistance profiling or reports of co-infection with other STI in pregnant women.

Objective

To describe these characteristics among pregnant women attending prenatal clinics in a large tertiary care centre.

Design

Remnant genital samples collected from pregnant women between August 2018 and November 2019 were tested for M. genitalium and Trichomonas vaginalis by the transcription-mediated amplification technique. Specimens with detectable M. genitalium RNA were sequenced for 23S rRNA mutations associated with azithromycin resistance and parC and gyrA mutations associated with resistance to moxifloxacin. Demographic, obstetric and STI co-infection data were recorded.

Results

Of the 719 samples, 41 (5.7 %) were positive for M. genitalium. M. genitalium infection was associated with black race, Hispanic ethnicity and young age (p=0.003, p=0.008 and p=0.004, respectively). M. genitalium infection was also associated with T. vaginalis co-infection and Streptococcus agalactiae (group B Streptococcus) colonisation (p≤0.001 and p=0.002, respectively). Of the 41 positive samples, 26 (63.4%) underwent successful sequencing. Eight (30.8%) had 23S rRNA mutations related to azithromycin resistance. One of 26 (3.8%) positive samples with sequencing results had the gyrA gene mutation and 1 of 18 sequenced samples (5.6%) had the parC gene mutation associated with moxifloxacin resistance.

Conclusions

Prevalence rates of M. genitalium in pregnant women was 5.7%. M. genitalium infection disproportionately affects young black women co-infected with T. vaginalis. Pregnant women remain at risk for persistent infection with M. genitalium due to decreased azithromycin susceptibility.
Time and time again: the reincarnations of coerced sterilisation
Authors: Fofana Mariam O
Published: June 2021

The recently reported cases of coerced sterilisation of women at a privately operated immigration detention facility in the USA are egregious in their disregard for human dignity and professional ethics, but sadly not surprising. These abuses represent a continuation of efforts to control the reproductive capacity of women, fueled by racist and xenophobic motives. Physicians helped create and legitimise the pseudoscientific framework for the eugenics movement, which would implement forceful sterilisation as its tool of choice to eliminate undesirable traits that were thought to be biologically inherited and predominant among racial and ethnic minorities. Although state-endorsed forcible sterilisation programs have ended, incarcerated women have remained particularly vulnerable to sterilisation abuse. The intersectional vulnerabilities of racism, xenophobia and carcerality must be addressed to prevent such abuses from recurring.
Main mechanical properties of new Chinese fir clones and their rapid prediction by near-infrared spectroscopy
Authors: Jia Ru , Wang Yurong , Wang Rui , Sun Haiyan , Liu Shengquan , Zhou Liang
Published: June 2021

Owing to its rapidity and accuracy, near-infrared (NIR) spectroscopy is a powerful tool to establish appropriate prediction models with an innovative method to evaluate wood properties. To reveal the mechanical qualities of clonal Chinese fir woods and to determine sound prediction models of mechanical properties, four main mechanical properties of six Chinese fir clones (Yang 020, Yang 061, Kaihua 3, Kaihua 13, Daba 8, Kailin 24) were evaluated by NIR spectroscopy. The clones Kaihua 13, Kailin 24, and Yang 020 showed good mechanical properties. To estimate mechanical properties with NIR spectroscopy, different methods should be adopted for different properties. The average spectra of radial and tangential sections combined with multiple scattering correction (MSC) and Savitzky–Golay (S–G) smoothing methods were used to predict the modulus of rupture and modulus of elasticity. By adopting cross section spectra and taking MSC and S–G smoothing methods for pretreatment, the models of compressive strength parallel to grain could deliver the best results. For wood hardness, the models established with average spectra of three sections and first-derivative method were preferred. The correlation coefficients of the prediction models were between 0.84 and 0.90, and those of the calibration models were between 0.75 and 0.96.
Multi-objective optimization of GFRP injection molding process parameters, using GA-ELM, MOFA, and GRA-TOPSIS
Authors: Liu Xin , Fan Xiying , Guo Yonghuan , Cao Yanli , Li Chunxiao
Published: June 2021

Owing to the influence of the injection molding process, warpage and volume shrinkage are two common quality defects for products manufactured by glass fiber-reinforced plastic (GFRP) injection molding. To minimize these two defects, an extreme learning machine optimized with a genetic algorithm (GA-ELM), multi-objective firefly algorithm (MOFA), and a multi-objective decision-making method (GRA-TOPSIS) were implemented in this study. All of the experiments, based on Latin hypercubic sampling (LHS), were conducted using Moldflow software to obtain the results for warpage and volume shrinkage. The prediction accuracy of the defect-prediction models based on the extreme learning machine (ELM) and GA-ELM algorithms were compared. The results show that the GA-ELM models can better predict the defect values. Finally, MOFA was used to find the Pareto optimal front, and the GRA-TOPSIS method was used to find the optimum solution from the Pareto optimal front. According to the results of the simulation verification, the warpage and volume shrinkage were effectively reduced by 12.25% and 6.11%, respectively, compared with before optimization, which indicates the effectiveness and reliability of the optimization method.
Studying and Understanding Characteristics of Post-Syncing Practice and Goal in Social Network Sites
Authors: Zhang Peng , Liu Baoxi , Ding Xianghua , Lu Tun , Gu Hansu , Gu Ning
Published: June 2021

Many popular social network sites (SNSs) provide the
post-syncing
functionality, which allows users to synchronize posts automatically among different SNSs. Nowadays there exists divergence on this functionality from the view of sink SNS. The key to solving this problem is to understand the characteristics of users’ post-syncing practice and goals and evaluate whether they are consistent with an SNS’s norms, cultures, and goals. However, studying and understanding the characteristics of post-syncing practice and goal are challenging tasks as a result of the difficulty of data sampling and the complexity of post-syncing behavior. In this article, we focus on investigating this question by quantitative analysis in combination with qualitative analysis. In the quantitative study, by utilizing 211,233 synced-posts sampled from Weibo, we aim to investigate characteristics of post-syncing from three perspectives: user, content, and goal. The results suggest that post-syncing plays an important role in exhibiting one’s current activities, creations, and skills as well as advertisements but involves a risk of exhibiting personal sensitive profiles. To understand the results, we present an interview-based qualitative study based on thematic analysis. It indicates that the publicity, urgency, and remarkableness of contents and differences of social affordances and social circles between sink SNS and source SNS as well as the one-time consent of post-syncing authentication jointly account for the major role of post-syncing. Based on these results, we propose insights for post-syncing functionality’s adoption, design, and promotion.
[Retracted] Microstructure and Fatigue Properties of 6061 Aluminum Alloy Laser‐MIG Hybrid Welding Joint
Authors: Fan Cong , Yang Shanglei , Zhu Minqi , Bai Yishan
Published: June 2021

Laser‐MIG hybrid welding of 6061‐T6 aluminum alloy was carried out with ER4043 welding wire, and the microstructure and fatigue properties of the joint were studied. The grain size of HAZ is larger than that of base metal (BM) due to the influence of welding heat cycle. Snowflake‐like equiaxed grains were found in the upper, middle, and lower parts of the welded joint (WJ). Based on the fatigue test with 1 × 106 cycles, the ultimate fatigue strength of BM and WJ is 101.9 MPa and 54.4 MPa, respectively. There are many pores with different sizes in WJ. The number of pores in the upper and middle parts of WJ is obviously larger than that in the lower part due to the influence of the cooling rate of the weld pool and the escape rate of pores. The porosity type is mainly metallurgical pores with regular morphology, which is mainly due to the bubbles formed by the evaporation of Mg elements and H2O in the oxide film on the BM surface. The fatigue fracture analysis shows that the main cause of fatigue crack is the near‐surface pores with 460 μm and 190 μm, respectively. The existence of pores near the surface is equivalent to the formation of a large‐scale prefabricated crack, resulting in serious stress concentration. The morphology of the grains around the pores has a great influence on the initiation and propagation of the fatigue microcracks.
Effects of Nigella sativa on Performance, Blood Profiles, and Antibody Titer against Newcastle Disease in Broilers
Authors: Talebi Alireza , Maham Masoud , Asri-Rezaei Siamak , Pournaghi Pouya , Khorrami Mohammad-Sadegh , Derakhshan Amir
Published: June 2021

Recent anxiety about resistance to chemical drugs has elevated the position of phytogenic feed additives including Nigella sativa in preventive strategy in the poultry industry. During this study, a completely randomized experiment was designed to investigate the efficacy of different levels (0 to 16%) of N. sativa seeds supplemented in the diet of broilers on performance, immune responses, and hematological and biochemical parameters. The results indicated the following: (a) Supplementation of 1% N. sativa seeds in diet had the highest positive effects and 16% N. sativa had the highest significant (

p
=
0.03

) adverse effects on weight gain, while up to 2% N. sativa seeds in the diet reduced feed conversion ratio (FCR) whereas 4% and over that increased the FCR. (b) Chickens fed with a diet containing 1% N. sativa seeds had the highest antibody titers, but those fed with 16% N. sativa seeds had the lowest antibody titers at end of the experiment. (c) Dietary inclusion of N. sativa seeds increased hemogram parameters and the group fed with 16% N. sativa seeds had the highest values on day 21 until the end of the experiment. (d) Supplementation of N. sativa seeds decreased in WBC and lymphocytes but increased heterophils, H/L, monocytes, eosinophils, and basophils percentages. Supplementation of up to 2% of N. sativa seeds in broiler’s diets elaborated serum level of those parameters, while supplementation of ≥ 4% N. sativa seeds decreased their serum levels. In conclusion, supplementation of N. sativa seed (1-2%) in broiler diets, as a multipurpose natural growth promoter, improves performance, elevates humoral immune responses, affects serum biochemical profiles of broiler chickens, and induces changes in their hemogram and leukogram, while there are no side, residual, and hazardous effects.
[Retracted] Fast Modelling Algorithm for Realistic Three‐Dimensional Human Face for Film and Television Animation
Authors: Xu Limin
Published: June 2021

Aiming at the face photos of film and television animation, this paper proposes a new fast three‐dimensional (3D) face modelling algorithm. First of all, based on the LBF algorithm, this paper proposes a multifeature selection idea to automatically detect multiple features of the face. Secondly, in order to solve the shortcomings of slow training speed while achieving large pose face alignment, the regression‐based CNN is selected as the algorithm to achieve fast convergence. Then, due to the influence of various factors, the extracted feature points are not completely correct, and Gabor features are used to screen the matching of feature points. Finally, by analysing the principle of 3DMM 3D face reconstruction, a single‐view 3D face reconstruction method based on CNN is proposed. The experimental results show that the algorithm in this paper has good reconstruction performance and real‐time performance and can realize the rapid modelling of human face.
[Retracted] Using Color Difference Compensation Method to Balance and Repair the Image of Art Design
Authors: Ji Hui , Shang Yang
Published: June 2021

In the case of complex illumination background, the image has fuzziness and chromatic aberration, which can improve the imaging effect of the image by white balance chromatic aberration compensation. The traditional method uses the contour feature fusion adaptive matching method to compensate the white balance under the complex illumination background, which leads to the good color difference compensation effect when the image pixel is low. A white balance color compensation algorithm for fuzzy chromatic aberration based on wavelet packet decomposition is proposed. The original image was denoised and filtered. The white balance characteristics of the image were analyzed and extracted based on the wavelet packet decomposition method, and the adaptive balance design was carried out to realize the white balance and color difference compensation of the art design chromatic aberration image. By using the known pixel information of the image block to be repaired, the statistical properties of the image block to be repaired are predicted, and the matching cost of the image block to be matched that meets the restriction conditions is calculated. By introducing the objective factor, the matching cost function is improved to balance the restoration process, and the unnatural problem caused by the repeated appearance of some image details in the restoration results is solved. The simulation results show that the method can effectively balance the color difference of the image, improve the aesthetic feeling of the image, and improve the performance of the detail features of the image. The peak signal‐to‐noise ratio is high.
Primary Cutaneous Lymphomas in Thailand: A 10‐Year Retrospective Study
Authors: Pruksaeakanan Chutipon , Teyateeti Phurichaya , Patthamalai Poramin , Thumrongtharadol Janista , Chairatchaneeboon Manasmon
Published: June 2021

Background. Primary cutaneous lymphomas (PCLs) refer to cutaneous lymphomas that primarily develop in the skin with no evidence of extracutaneous disease at the time of diagnosis. The epidemiological and clinical data of PCLs in Thailand are lacking. Objectives. To evaluate the frequency, demographic data, and clinical characteristics of different subtypes of PCLs in a tertiary care university hospital. Methods. In total, 137 patients with PCLs diagnosed in our hospital in 2008–2017 were retrospectively reviewed. Results. Of the 137 patients, 57 (41.6%) were male and 80 (58.4%) were female (M : F = 1 : 1.4). The median age at diagnosis was 40 years. Most patients (134, 97.8%) had cutaneous T‐cell lymphomas (CTCLs). Three patients (2.2%) had cutaneous B‐cell lymphomas (CBCLs). The most common subtype was mycosis fungoides (MF) (67.9%), followed by subcutaneous panniculitis‐like T‐cell lymphoma (SPTCL) (21.2%), primary cutaneous anaplastic large cell lymphoma (pcALCL) (3.6%), lymphomatoid papulosis (LyP) (1.5%), primary cutaneous gamma/delta T‐cell lymphoma (pcGDTCL) (1.5%), Sézary syndrome (SS) (0.7%), extranodal NK/T‐cell lymphoma, nasal type (ENKTCL‐NT) (0.7%), primary cutaneous peripheral T‐cell lymphoma, not otherwise specified (pcPTCL‐NOS) (0.7%), primary cutaneous diffuse large B‐cell lymphoma, leg type (pcDLBCL‐LT) (1.5%), and primary cutaneous follicle center lymphoma (pcFCL) (0.7%). Most patients with MF presented with early‐stage disease (84.0%), with hypopigmented MF the most common variant (42.6%). Conclusions. Compared to earlier Caucasian and Asian studies, the present study revealed a higher proportion of CTCL patients with a younger age at onset and a female predominance. MF was the most common CTCL subtype, followed by SPTCL. More than 80% of MF patients were diagnosed at an early stage.
Classification of Rings with Toroidal and Projective Coannihilator Graph
Authors: Alanazi Abdulaziz M. , Nazim Mohd , Ur Rehman Nadeem
Published: June 2021

Let

S

be a commutative ring with unity, and a set of nonunit elements is denoted by

W

S

. The coannihilator graph of

S

, denoted by

A

G

′

S

, is an undirected graph with vertex set

W

S

∗

(set of all nonzero nonunit elements of

S

), and

α
∼
β

is an edge of

A

G

′

S

⇔
α
∉
α
β
S

or

β
∉
α
β
S

, where

δ
S

denotes the principal ideal generated by

δ
∈
S

. In this study, we first classify finite ring

S

, for which

A

G

′

S

is isomorphic to some well-known graph. Then, we characterized the finite ring

S

, for which

A

G

′

S

is toroidal or projective.
Sports Dance Action Recognition System Oriented to Human Motion Monitoring and Sensing
Authors: Ni Shasha , Yao Dawei
Published: June 2021

Because of its high research value, action recognition has become a very popular research direction in recent years. However, the research on the combination of motion recognition technology and dance movements is still in its infancy. At the same time, due to the high complexity of dance movements and the problems of human body self‐occlusion when performing dances, research on dance video action recognition has been caused. Progress is relatively slow. This article mainly introduces the research of sports dance action recognition system oriented to human motion monitoring and sensing, fully considers the abovementioned problems, and makes in‐depth research and analysis on the current excellent action recognition research content in this field. This paper proposes a research method of sports dance movement recognition for human movement monitoring and sensing, including sports dance movement classification algorithm and sports dance movement preprocessing algorithm, which is used to conduct research experiments on sports dance movement recognition for human movement monitoring and sensing. The experimental results of this article show that the average recognition accuracy of the sports dance action recognition system for human motion monitoring and sensing is 92%, which can be used in daily sports dance training and competition.
Quantitative Analysis of the Topological Structure of Rock Pore Network
Authors: Ye Dayu , Liu Guannan , Luo Ning , Gao Feng , Zhu Xinmin , Yue Fengtian
Published: June 2021

As the most significant nonlinear reservoir, the rocks have complex structural characteristic. The pore structure of the rock is varied in shape and complex in connectivity. However, the prevailing methods for characterising the microstructure of rocks, such as the coordination number method and fractal theory, are still difficult to quantify the structural properties. In this study, based on the CT-scan method and a new complex network theory, the topological characteristics of rocks such as seepage path selection, degree of pore aggregation, pore importance, and pore module structure are analysed. The results show that the scale-free network model is more reliable in characterising the rock pore network than previously published structural models, and a small number of pores are the “key” to the seepage process. Besides, we proposed a new method to quantify the importance of rock pores and present the distribution characteristics and connectivity laws of the rock-pore network. This provides a new method to study the seepage process of the nonlinear reservoirs.
Oral Isotretinoin Therapy in Recalcitrant Molluscum Contagiosum in an Immunocompromised Patient
Authors: Paudel Vikash , Chudal Deepa
Published: June 2021

Molluscum contagiosum is a viral infection caused by the Poxvirus characterized by multiple umbilicated papules. It is common in children and can be present at any body site. Severe molluscum is common in immunocompromised patients. We report a 20-year-old HIV-positive individual with widespread molluscum contagiosum, recalcitrant to topical therapy, under antiretroviral therapy, who was treated with oral isotretinoin and had a dramatic outcome. Although studies are needed to confirm the effectiveness of oral isotretinoin therapy in molluscum contagiosum, its easy availability, cost, and excellent safety profile appear to offer a promising therapeutic option.
On the Road to Inclusive Education: Supporting Diversity in Education by State-Financed, Large-Scale OER Platforms—The Example of User-Oriented Development of NDLA in Norway
Authors: Müller Frank J.
Published: June 2021

Inclusive education and the associated consideration of the diverse needs of students from different social, economic, and cultural backgrounds and different talents and disabilities are a worldwide challenge. This article shows how by addressing different user groups, state-funded platforms for open educational resources (OER) can contribute to the implementation of inclusive education. This is done using the example of the Norwegian platform NDLA, which has been providing open educational resources for upper secondary education in Norway since 2006. This paper is based on 13 expert interviews conducted with NDLA staff, cooperation partners, and members of the opposing schoolbook publishers union in 2017. The presented results focus on the diversity of learners, teachers, and platform staff and how this diversity is addressed. The presented results focus on the diversity of learners, teachers, and platform staff and how this diversity is addressed to ensure the best possible outcomes in learning and teaching. Finally, country-specific aspects that can be addressed by an OER platform are highlighted. In summary, the transferability of the Norwegian experience to other countries is discussed.
Fuzzy Prime Ideal Theorem in Residuated Lattices
Authors: Kengne Pierre Carole , Koguep Blaise Blériot , Lele Celestin
Published: June 2021

This paper mainly focuses on building the fuzzy prime ideal theorem of residuated lattices. Firstly, we introduce the notion of fuzzy ideal generated by a fuzzy subset of a residuated lattice and we give a characterization. Also, we introduce different types of fuzzy prime ideals and establish existing relationships between them. We prove that any fuzzy maximal ideal is a fuzzy prime ideal in residuated lattice. Finally, we give and prove the fuzzy prime ideal theorem in residuated lattice.
Design and Analysis Comparison of Surface Acoustic Wave-Based Sensors for Fabrication Using Additive Manufacturing
Authors: Waqar Tayyab , Ersoy Sezgin
Published: June 2021

Sensors have become an integral part of our everyday lives by helping us converting packets of data to make important decisions. Due to this reason, researches are done constantly to improve the fabrication processes of sensors by making them more user-friendly, less time-consuming, and more cost-effective. The application of any fabrication solution that offers those advantages will have a major impact on the manufacturing of modern sensors. To address this issue, a 3D printed Surface Acoustic Wave (SAW) temperature sensor is presented in this paper. The modelling and analysis of such a sensor have been performed for both aluminium and copper electrodes using COMSOL software. In total, 4 different sensing structures, 2 each for both aluminium and copper electrodes based one-port resonators, are designed and analysed for their application in temperature sensing. The resulting responses of those sensors are approximately 2.19 MHz and 424.01 MHz frequency ranges. The novelty lies in the possibility of mass-producing such a sensor using additive manufacturing will have a direct impact in the areas where conventional electronics cannot be utilized.
[Retracted] Application Experience and Patient Feedback Analysis of 3D Printed AFO with Different Materials: A Random Crossover Study
Authors: Meng Xianzhong , Ren Min , Zhuang Yan , Qu Yu , Jiang Linling , Li Zhenjing
Published: June 2021

Purpose. This study is aimed at analyzing the application experience and feedback of the patients with poststroke ankle dorsiflexion disorders for 3D printed AFO with three different materials. Methods. 15 patients were randomly divided into three groups; 3D printed AFO with 3 different materials (PA2200, Somos NeXt, and PA12) was used to each group, according to the crossover study design, in order to ask the three groups of patients to use three different materials of 3D printed AFO. Assessment was taken by the end of each test round. Through statistical processing, the patient feedback data of the three groups of materials of 3D printed AFO were obtained. Results. In the material comfort assessment of the AFO, Somos NeXt was compared with PA2200, and the p value was <0.05; in the item of surface smoothness of the AFO, Somos NeXt was compared with PA2200, and the p value was <0.01; at the same time, PA12 was compared with PA2200, and the p value was <0.05. Conclusion. The 3 different materials of 3D printing AFO bring different experience, and we also have sufficient reason to believe that there will be differences in the auxiliary effect of this on patients, which leads the patient’s selection too. The material Somos NeXt is much popular and has certain clinical advantages.
A Truncated Matrix Completion Algorithm Using Prior Information for Wind Turbine Clutter Suppression
Authors: Mao Minghe , Li Tianhe , Shen Mingwei , Cao Ning , Shi Rui , Li Rui
Published: June 2021

The conventional matrix completion (MC) regularizes each singular value equally, and thus the rank cannot be well approximated, which greatly limits the flexibility and accuracy of MC usage. In this paper, a truncated MC algorithm using prior information to determine the threshold while generating the target rank is proposed for the wind turbine clutter suppression of weather radar. During the singular value shrinking process, an appropriate threshold is selected to obtain the optimal approximation of the sampling matrix. Specifically, the mean value of the diagonal element in the recovered weather matrix is calculated to improve the robustness of the recovery result effectively. Simulation results demonstrate that the proposed algorithm reduces the computational complexity as well as further improves the MC accuracy and realizes the effective suppression of the wind turbine clutter.
Application of Physical Examination Data on Health Analysis and Intelligent Diagnosis
Authors: Wang Xiao-Ling , Liu Jun , Li Zi-Qi , Luan Zhi-Lin
Published: June 2021

Analysis and diagnosis according to the collected physical data are an important part in the physical examination. Through the data analysis of the physical examination results and expert diagnoses, the physical condition of a specific physical examination unit can be achieved which may guide individual health development. However, in general, the application of physical examination data is insufficient in most of the current physical examination organizations. Therefore, in the present study, statistical analysis and intelligent diagnosis were applied to maximize the utilization of physical examination data. The physical examination data collected from different departments of Dalian University of Technology were statistically analyzed and then synthesized for stimulating the thinking mode and knowledge framework of medical experts by a learning model on machine, resulting in the construction of an intelligent physical examination diagnosis method with 93.4% accuracy confirmed by experts. In conclusion, a potential artificial intelligence model of psychical examination data on health analysis and intelligent diagnosis was established, which may become more and more accurate with data accumulation in the near future.
Freezing Method for Rock Cross‐Cut Coal Uncovering: Aging Characteristic of Effective Freezing Distance on Injecting Liquid Nitrogen into Coal Seam
Authors: Ma Heyi , Zhu Chuanqu , Zhao Pengtao , Wang Binbin
Published: June 2021

Based on artificial freezing engineering practice, the comprehensive technology is suggested to realize safe and fast rock cross‐cut coal uncovering, which mainly includes four steps of drilling, water injection wetting coal, gas drainage, and injection liquid nitrogen into coal seam. Freezing test of liquid nitrogen injection into coal is carried out to obtain the cooling curves, and comparing the test results, the numerical inverse method is applied to determine the thermal conductivity of coal seam. Then, the model of injecting liquid nitrogen into coal seam is established to simulate and analyze the aging characteristic of effective freezing radius. The results show that the thermal conductivity of wetting coal increases linearly with temperature decreasing. The periodic method with 8h intervals can be adopted to inject liquid nitrogen into coal seam, and the freezing wall is formed around the injection hole. With the increase of freezing time, the effective freezing radius (below 273.15 K) increases by power exponent, and the freezing speed in coal seam decreases gradually. This result will provide a theoretical basis for layout optimization of injection holes in rock cross‐cut coal uncovering.
An Experimental Study on the Mechanical Properties of High‐Temperature Granite under Natural Cooling and Water Cooling
Authors: Gao Yanan , Wang Yunlong , Lu Taiping , Li Liuzhou , Wu Jinwen , Zhang Zetian
Published: June 2021

With the further development of deep rock mechanics engineering, such as the exploitation and utilization of geothermal resources, the exploitation of deep mineral resources, and the safe disposal of nuclear waste, the study of mechanical properties of deep high‐temperature rock is gaining the attention of the researchers. However, not only the high temperature but also the cooling condition/method that will be used in the construction such as drilling cooling will also greatly affect the mechanical properties of the rock. In this paper, the mechanical behaviour and the evolution of the mechanical properties of the high‐temperature (600°C–1,000°C) granite under different cooling methods are studied. The following conclusions can be obtained: (1) The peak stress of the granite decreases with the heating temperature. Compared with natural cooling, water cooling has a more significant effect on strength degradation. (2) The increase of the heating temperature increases the maximum axial strain of the granite. The water cooling method more greatly induces the maximum axial strain of granite than the natural cooling. The maximum axial strain of the specimen under the water cooling reaches 117.3% of that under natural cooling (800°C). (3) The elastic modulus of the granite decreases with the heating temperature. Water cooling will have a stronger effect on the reduction of the elastic modulus than natural cooling. The maximum difference value (2.02 GPa) of the elastic modulus under the different cooling methods occurs at the temperature of 800°C. (4) Poisson’s ratio of the granite increases with heating temperature, and the cooling method does not have an evident effect on it. The relationship between Poisson’s ratio and the heating temperature under different cooling methods can be described using the linear model. (5) According to the influence of the temperature on the peak stress, the elastic modulus, and Poisson’s ratio, the heating temperature domain can be divided into the unapparent zone, the significant zone, and the mitigation zone. (6) The thermal stress due to the nonuniform temperature field and the different thermal expansion coefficients is incompatible. Such incompatibility stresses the essences of the degradation of the mechanical properties of the granite.
Explainable Fraud Detection for Few Labeled Time Series Data
Authors: Xiao Zhiwen , Jiao Jianbin
Published: June 2021

Fraud detection technology is an important method to ensure financial security. It is necessary to develop explainable fraud detection methods to express significant causality for participants in the transaction. The main contribution of our work is to propose an explainable classification method in the framework of multiple instance learning (MIL), which incorporates the AP clustering method in the self-training LSTM model to obtain a clear explanation. Based on a real-world dataset and a simulated dataset, we conducted two comparative studies to evaluate the effectiveness of the proposed method. Experimental results show that our proposed method achieves the similar predictive performance as the state-of-art method, while our method can generate clear causal explanations for a few labeled time series data. The significance of the research work is that financial institutions can use this method to efficiently identify fraudulent behaviors and easily give reasons for rejecting transactions so as to reduce fraud losses and management costs.
Concomitant versus Delayed Cholecystectomy in Bariatric Surgery
Authors: Elgohary Hatem , El Azawy Mahmoud , Elbanna Mohey , Elhossainy Hossam , Omar Wael
Published: June 2021

Background. Obesity and weight loss after bariatric surgery have a close association with gallbladder disease. The performance and proper timing of laparoscopic cholecystectomy (LC) with bariatric surgery remain a clinical question. Objective. Evaluation of the outcome of LC during bariatric surgery whether done concomitantly or delayed according to the level of intraoperative difficulty. Methods. The prospective study included patients with morbid obesity between December 2018 and December 2019 with preoperatively detected gallbladder stones. According to the level of difficulty, patients were allocated into 2 groups: group 1 included patients who underwent concomitant LC during bariatric surgery, and group 2 included patients who underwent delayed LC after 2 months. In group 1, patients were further divided into subgroups: LC either at the beginning (subgroup A) or after bariatric surgery (subgroup B). Results. Operative time in group 1 vs. 2 was 92.63 ± 28.25 vs. 68.33 ± 17.49 (

p
<
0.001

), and in subgroup A vs. B, it was 84.19 ± 19.62 vs. 130.0 ± 31.62 (

p
<
0.001

). One patient in each group (2.6% and 8.3%) had obstructive jaundice,

p
>
0.001

. In group 2, 33% of asymptomatic patients became symptomatic for biliary colic

p
>
0.001

. LC difficulty score was 2.11 ± 0.70 vs. 5.66 ± 0.98 in groups 1 and 2, respectively,

p
<
0.001

. LC difficulty score decreased in group 2 from 5.66 ± 0.98 to 2.26 ± 0.78 after 2 months of bariatric surgery,

p
<
0.001

. Conclusion. Timing for LC during bariatric surgery is challenging and should be optimized for each patient as scheduling difficult LC to be performed after 2 months may be an option.