bluuebunny/crossref_metadata_2025 huggingface dataset:
Poor sleep and multiple sclerosis: associations with symptoms of multiple sclerosis and quality of life
Authors: Laslett Laura L , Honan Cynthia , Turner Jason A , Dagnew Baye , Campbell Julie A , Gill Tiffany K , Appleton Sarah , Blizzard Leigh , Taylor Bruce V , van der Mei Ingrid
Published: July 2022

Background

Sleep difficulties are common in people with multiple sclerosis (MS), but whether associations between poor sleep quality and quality of life are independent of MS symptoms, obesity and other MS-related factors remains unclear.

Methods

Cross-sectional analyses of data from the Australian MS Longitudinal Study (n=1717). Sleep was assessed using the Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale and International Restless Legs Syndrome Study Group Rating Scale; health-related quality of life using the Assessment of Quality-of-Life 8-D.

Results

Poor sleep quality was common (67%), and more common than in community samples. Sleep measures clustered independently within MS symptoms. The clusters ‘fatigue and cognitive’, ‘feelings of anxiety and depression’, ‘pain and sensory’, were independently associated with poor sleep quality. Quality-of-Life utility scores were a clinically meaningful 0.19 units lower in those with poor sleep. Sleep quality, daytime sleepiness and restless leg syndrome were associated with reduced quality of life, independent of MS-related symptoms and body mass index.

Conclusion

Poor sleep quality is common in MS and was strongly associated with worse health-related quality of life, independent of other MS symptoms and did not cluster with other common MS symptoms. Improving sleep quality may substantially improve quality of life in people with MS.
Immunogenicity of the third and fourth BNT162b2 mRNA COVID-19 boosters and factors associated with immune response in patients with SLE and rheumatoid arthritis
Authors: Assawasaksakul Theerada , Sathitratanacheewin Seelwan , Vichaiwattana Preeyaporn , Wanlapakorn Nasamon , Poovorawan Yong , Avihingsanon Yingyos , Assawasaksakul Nawaporn , Kittanamongkolchai Wonngarm
Published: July 2022

Objectives

To evaluate the safety and immunogenicity of third and fourth BNT162b2 boosters in patients with SLE and rheumatoid arthritis (RA).

Methods

Patients with SLE and RA aged 18–65 years who completed a series of inactivated, adenoviral vector, or heterogenous adenoviral vector/mRNA vaccines for at least 28 days were enrolled. Immunogenicity assessment was done before and day 15 after each booster vaccination. The third BNT162b2 booster was administered on day 1. Patients with suboptimal humoral response to the third booster dose (antireceptor-binding domain (RBD) IgG on day 15 <2360 BAU/mL) were given a fourth BNT162b2 booster on day 22.

Results

Seventy-one patients with SLE and 29 patients with RA were enrolled. The third booster raised anti-RBD IgG by 15-fold, and patients with positive neutralising activity against the Omicron variant increased from 0% to 42%. Patients with positive cellular immune response also increased from 55% to 94%. High immunosuppressive load and initial inactivated vaccine were associated with lower anti-RBD IgG titre. Fifty-four patients had suboptimal humoral responses to the third booster and 28 received a fourth booster dose. Although anti-RBD IgG increased further by sevenfold, no significant change in neutralising activity against the Omicron variant was observed. There were two severe SLE flares that occurred shortly after the fourth booster dose.

Conclusions

The third BNT162b2 booster significantly improved humoral and cellular immunogenicity in patients with SLE and RA. The benefit of a short-interval fourth booster in patients with suboptimal humoral response was unclear.

Trial registration number

TCTR20211220004.
Impact of persistent pain symptoms on work absence, health status and employment 18 months following disabling work-related injury or illness
Authors: Dobson Kathleen G , Mustard Cameron , Carnide Nancy , Furlan Andrea , Smith Peter M
Published: July 2022

Objectives

While most individuals physically injured at work will make a complete medical recovery, a portion of workers will experience persistent pain following their injury. This study estimated persistent pain prevalence and its association with health and return-to-work outcomes 18 months following the incidence of a disabling work-related injury.

Methods

We studied 1131 workers disabled by a work-related injury who were recruited from a sampling frame of disability benefit claimants in Ontario, Canada. Work injuries and claim benefits characteristics from administrative data were linked with measures of work status, pain symptoms, and physical and mental health obtained from telephone interviews completed 18 months postinjury. Associations of persistent pain symptoms with health and employment outcomes 18 months postinjury were estimated using multinomial and linear regression.

Results

Roughly 30% of participants reported no pain symptoms in the previous 4 weeks, 45% reported mild pain symptoms and 25% reported severe pain symptoms accompanied by substantial functional impairment. Workers with severe pain symptoms were more likely to not be currently working at 18 months (33%) vs those without pain symptoms (16%), and had poorer self-reported physical and mental health. Workers with severe pain symptoms had higher probabilities of benefit durations of 12–18 months (OR=9.35), higher lost-earnings costs (~47.7% higher) and higher healthcare expenditure costs at 18 months (~125.9% higher) compared with those with no pain symptoms.

Conclusions

Persistent pain symptom prevalence 18 months postinjury is high among workers disabled by a work-related injury and associated with substantial functional impairment and longer wage replacement benefit duration.
'Difficult to treat' rheumatoid arthritis: current position and considerations for next steps
Authors: Tan Yvonne , Buch Maya H
Published: July 2022

The European Alliance of Associations for Rheumatology recently defined difficult to treat (D2T) rheumatoid arthritis (RA) and provided points to consider in its management. This review summarises the key concepts of D2T-RA that underpinned this recent guidance. D2T-RA is primarily characterised by failure of at least two different mechanism of action biologic/targeted synthetic disease-modifying antirheumatic drug (DMARDs) with evidence of active/progressive disease. The basis for progressive disease, however, is not limited to clear inflammatory joint pathology, capturing wider contributors to treatment cycling such as comorbidity, obesity and fibromyalgia. This means D2T-RA comprises a heterogeneous population, with a proportion within this exhibiting bona fide treatment-refractory disease. The management points to consider, however, emphasise the importance of checking for the presence of inflammatory pathology before further treatment change. This review suggests additional considerations in the definition of D2T-RA, the potential value in identifying D2T traits and intervening before the development of D2T-RA state and the need for real world evidence of targeted synthetic DMARD in this population to compare to recent trial data. Finally, the review asks whether the presence of D2T-RA implies a failure to treat effectively from the outset, and the need for pharmacological and non-pharmacological management approaches to address the wider D2T-RA population effectively.
Impoverishing effect of tobacco use in Vietnam
Authors: Nguyen Minh Ngoc , Nguyen Anh Ngoc , Bui Ha Thu , Vu Linh Hoang
Published: July 2022

Background

Tobacco consumption places a significant economic burden on households, which is particularly severe in developing countries like Vietnam. In a country where the social insurance system is weak and healthcare is often expensive, tobacco-consuming households may face a higher risk of living in poverty. Some evidence on the social consequences of tobacco consumption suggests that it might aggravate poverty and inequality in Vietnam; however, to the best of our knowledge, no research provides a reliable estimate of the impoverishing effect of tobacco use in the country thus far.

Objectives

This study quantifies the direct impact of tobacco use on poverty, measured by a poverty head count and the total size of the poverty gap in Vietnam in 2018.

Methods

By deducting tobacco-related expenditure from the total household income, the authors recalculate the actual household disposable income and examine whether the households suffer from the state of secondary poverty. Data from the 2018 Vietnam Household Living Standards Survey were used for calculation.

Results

(1) Total tobacco-related expenditure increased the number of poor people by 305 090 (0.31% of the country’s population) in 2018. More than one-third of those impoverished people are children, who should be considered victims of adults’ tobacco use. (2) Tobacco use increased the poverty gap by 0.08 percentage points from 2.20% to 2.28%. (3) The impoverishment effects of tobacco consumption vary across groups in society and appear to be more intense in rural areas, among ethnic minorities and in the two lowest quintiles of consumption.

Conclusion

This study confirms the impoverishing effect of tobacco use in Vietnam (305 090 people) and that the effects are heterogeneous across population groups. Therefore, controlling tobacco use should be a part of the broader poverty reduction strategy in Vietnam and should be wisely targeted so as to reduce poverty effectively.
Breaching and liquefaction in subaqueous retrogressive flow slides
Authors: van den Ham Geeralt A. , De Groot Maarten B. , Mastbergen Dick R. , Van den Berg Jan H.
Published: July 2022

Although retrogressive flow slides in subaqueous sandy slopes can be very large and cause substantial damage, the failure mechanisms of such slides are not very clear yet. This study analyses two well-monitored flow slides in a shoal margin in the Western Scheldt estuary in the Netherlands: a natural flow slide that eroded 300 m into the edge of the shoal and an artificially induced flow slide that was triggered by dredging and eroded only 30 m of the shoal margin. Both slides were simulated with a newly developed numerical model that describes the physics of slow retrogressive breaching and the much faster retrogression of statically liquefied fine to medium (silty) sands. The simulations show that the differences in trigger and size can be explained by assuming that in the larger slide both retrogressive breaching and static liquefaction took place, while in the smaller one only breaching occurred. The main contribution of retrogressive liquefaction to the larger slide was the generation of a temporary high-erosive density flow that proved sufficient to create such a high, near-vertical slope that the breaching process could continue over a long period and distance. It is therefore likely that both breaching and static liquefaction play a role in large natural flow slides.
A Deep Learning-Based Fast Route Planning Model for Location-Based Social Networks
Authors: Yang Dongfang
Published: July 2022

Nowadays, location-based social networks (LBSN) are a kind of popular media in cyberspace. The LBSN provide geography-aware social services to users, so as to create special social network activities. For users, where to go and how to arrange following positions are the most intuitive problems. As a result, many researchers began to pay attention to the position recommendation in LBSN, in the past decade. However, existing position recommendation methods in LBSN are mostly oriented with situations involving single positions or not many positions. In fact, many scenarios require suggestion of series positions, which is usually ignored by the current research works. To deal with this problem, this paper proposes a deep learning-based fast route planning model for LBSN. Specifically, dependency inside position sequences for each user is modeled with the use of recurrent deep learning model. Then, such deep learning model is used to output prediction results for series future positions for a user. Hence, series positions can constitute the routes for users. Finally, experiments on a real LBSN dataset show the efficiency of the proposed route planning model.
Low-Complexity I/Q Imbalance Calibration Algorithm Based on Zero-IF Receiver
Authors: Li Zhi , Yao YaFeng , Zhou QunQun , Fu DongBin
Published: July 2022

Although the scheme of designing transceiver with zero-IF architecture reduces the design cost, complexity and power loss of the system, this architecture is more sensitive to the I/Q mismatch problem existing in the analog front-end and it is difficult to eliminate the image interference caused by the mismatch. Therefore, a fast and low-cost I/Q imbalance calibration algorithm is needed. As for the problem of I/Q imbalance in zero-IF receiver, a blind estimation algorithm for extracting the calibration parameters and signal compensation is proposed because of the complexity of calculation and hardware circuit, as well as the power consumption of resources under the traditional algorithm. Based on the statistical property of the signal, this algorithm has the specific characteristics of low computational complexity and being easy to implement in hardware circuit. Due to different ideas of parameters extraction, a special calibration model is designed. The result of simulation shows that the proposed algorithm has not only better performance in compensation parameters estimation, but also better calibration performance than the traditional algorithm. By comparing the calibration performance in the case of different gain imbalances or phase imbalances, we can see that the algorithm can maintain a good calibration performance under different imbalance conditions.
An Electronically Tunable Meminductor Emulator and Its Application in Chaotic Oscillator and Adaptive Learning Circuit
Authors: Yadav Nisha , Rai Shireesh Kumar , Pandey Rishikesh
Published: July 2022

In this paper, a new design of meminductor emulator has been suggested using voltage differencing buffered amplifier (VDBA), current differencing buffered amplifier (CDBA), a resistor and two grounded capacitors. The key advantages of the proposed meminductor emulator circuits are their design simplicity, implementation without memristors and easily adjustable design for grounded/ floating decremental to incremental configurations. The proposed circuits have been designed and simulated using 180-nm process technologies in the Mentor Graphics Eldo simulation tool. The nonvolatility and Monte Carlo analysis of the proposed meminductor emulators have been given. A comparison table has also been presented to discuss the benefits of the suggested meminductor emulator designs with existing designs. The operation of the designed emulator has been corroborated by using it in the chaotic oscillator and neuromorphic circuit applications.
Hyper Spectral Fruit Image Classification for Deep Learning Approaches and Neural Network Techniques
Authors: Arumuga Maria Devi T. , Darwin P.
Published: July 2022

In the field of agro-business technology, computerization contributes to productivity, monetary turnover of events along local viability. The interest in tariffs in addition to the consistency analysis is influenced by the mix of leafy foods. The most tangible aspect of the food derived from the earth is the implementation that influences the need for, the customer’s desires as well as the judgment of the market. Although people may plan and assess, time-concentrated, complex, subjective, costly, and handily influenced by environmental variables is problematic. Subsequently, a shrewd natural product evaluation system is needed. Deep learning has achieved remarkable milestones in the field of conventional computers. In this article, we use deep learning techniques on the topic of hyperspectral image exploration. Unlike traditional machine vision exercises, the only thing to do with a gander is the spatial setting; our proposed solution would use both the spatial setting and the phantom relationship to enhance the hyperspectral image grouping. In clear words, we endorse four new deep learning models, in particular the 3D Convolutionary Neural Network (3D-CNN) and the Repetitive 3D Convolutionary Neural Network (R-3D-CNN) for hyperspectral image recognition.
Deep Learning and Neural Network-Based Wind Speed Prediction Model
Authors: Mohammed Ahmed Salahuddin , Mohammed Amin Salih , Kareem Shahab Wahhab
Published: July 2022

This paper aims to develop a wind speed prediction model by utilizing deep learning and neural networks. The analysis of weather data using a neural network architecture has been completed. The Long Short-Term Memory (LSTM) architecture is a type of artificial Recurrent Neural Network (RNN) used in deep learning is the first method plots the predicting Wind Speed based on the dataset and predicts the future spread. A dataset from a real-time weather station is used in the implementation model. The dataset consists of information from the weather station implements of the recurrent neural network model that plots the past spread and predicts the future stretch of the weather. The performance of the recurrent neural network model is presented and compared with Adaline neural network, Autoregressive Neural Network (NAR), and Group Method of Data Handling (GMDH). The NAR used three hidden layers. The performance of the model is analyzed by presenting the Wind Speeds of Erbil city. The dataset consists of the Wind Speed of (1992-2020) years, and each year consist of twelve months (from January to December).
The hydrogeological karstic chalk system of the Yport springs (Seine-Maritime, France): investigations and resource exploitation
Authors: Gaillard Thierry , Roux Jean-Claude , Hauchard Emmanuel
Published: July 2022

The small town of Yport in the northern part of the Pays de Caux, Normandy, is located on the shore of the English Channel between Étretat and Fécamp, at the outlet of a long dry valley that incises the chalk plateau. Eight hundred metres to the east, at the base of a cliff, is a cluster of springs, the ‘Fontaines d'Yport’, that emerge on the foreshore. Given their high discharge, measured at between 1 and 2.5 m
3
s
−1
, the Le Havre authorities have been interested in these springs since the 1960s, in determining their origin, locating the karst conduit, developing them, and investigating the boundaries and vulnerability of the groundwater basin. Today, one third of the drinking water that supplies the Le Havre conurbation comes from the Yport wells, and investigations into their vulnerability and protection of their resource continues.
Seismic geomorphology of the Chandeleur submarine landslide in the northern Gulf of Mexico
Authors: Martinez Gabriel O. , Sawyer Derek E. , Portnov Alexey
Published: July 2022

The Chandeleur Submarine Landslide Complex occurs on the upper Mississippi Fan of the Gulf of Mexico in approximately 1100 m of water, 200 km SE of New Orleans, Louisiana. This part of the Mississippi Fan received high sedimentation throughout the Pleistocene, causing high pore fluid pressure and abundant slope failures, though few as large as the Chandeleur. Given its large size, proximity to major coastal cities and seafloor infrastructures, we examine the Chandeleur Slide to understand what led to the initial slope failure and decipher its post-failure transport behaviour using 2D and 3D multichannel seismic surveys, high-resolution bathymetric data, and well logs. We find a large sediment mass with a translational-rotational behaviour that was displaced to the south/SE up to 40 km from the source area. The Chandeleur Slide includes extensional faulting in the headscarp area and compressional structures in the toe where confined by a natural ramp-like structure. Beneath the Chandeleur Slide, we identify a regional sand-rich unit (called the Blue Unit) that is known to be overpressured. Beneath the Blue Unit we observe an upward-migrating salt diapir. We suggest one possible scenario for the origin of the Chandeleur Slide is the combined effects of an upward-migrating salt diapir impinging on an already overpressured Blue Unit, leading to the initial failure. The initial failure was followed by retrogressive headwall retreat northward, which created the prominent scarp on the seafloor. In total, the Chandeleur Slide complex covers an area of about 1000 km
2
and contains about 300 km
3
of sediment.
Analysis of the Teaching Design Process Mode of College English Application Oriented Curriculum with NLP Voice Data Authentication
Authors: Linyi Dai
Published: July 2022

The purpose is to introduce game-based learning into college English communication courses, improve the competence of college students’ oral English expression and reduce their anxieties in speaking English. Four games are designed and an experiment of 20 sophomores’ performances in college oral communication classes is conducted for a semester. According to the classroom activities of oral English, the content of the games is reciting and delivering the sentences in order, guessing and understanding the characteristics of the single word, guessing the word by asking questions, and describing the pictures in English. This can be implemented with the Natural language Processing Assistance on Digital Library Management which presents the requirements for handling the documents in digital libraries.The research tools include an oral English test, FLCAS (Foreign Language Classroom Anxiety Scale), classroom observation and a game-based learning recordwith the efficientresults are as follows: 1. The introduction of the four games into the oral English communication courses is found feasible. But the student's basic knowledge of English affects their enthusiasm for the games. 2.The skill of students' oral English expression is improved significantly after the introduction of the games, and they can speak complete English sentences to answer questions and describe pictures. 3. The students’ test anxiety decreases significantly, but they still feel anxious about the negative comments on their oral English performances. 4. According to the reflection and revision of the whole research process, the teaching mode design of the college English application course is developed in three aspects, including game design, game-course matching, and game integration into teaching.
Fuzzing of Embedded Systems: A Survey
Authors: Yun Joobeom , Rustamov Fayozbek , Kim Juhwan , Shin Youngjoo
Published: July 2022

Security attacks abuse software vulnerabilities of IoT devices; hence, detecting and eliminating these vulnerabilities immediately are crucial. Fuzzing is an efficient method to identify vulnerabilities automatically, and many publications have been released to date. However, fuzzing for embedded systems has not been studied extensively owing to various obstacles, such as multi-architecture support, crash detection difficulties, and limited resources. Thus, the article introduces fuzzing techniques for embedded systems and the fuzzing differences for desktop and embedded systems. Further, we collect state-of-the-art technologies, discuss their advantages and disadvantages, and classify embedded system fuzzing tools. Finally, future directions for fuzzing research of embedded systems are predicted and discussed.
Point Cloud Quality Assessment: Dataset Construction and Learning-based No-reference Metric
Authors: Liu Yipeng , Yang Qi , Xu Yiling , Yang Le
Published: July 2022

Full-reference (FR) point cloud quality assessment (PCQA) has achieved impressive progress in recent years. However, in many cases, obtaining the reference point clouds is difficult, so no-reference (NR) metrics have become a research hotspot. Few researches about NR-PCQA are carried out due to the lack of a large-scale PCQA dataset. In this article, we first build a large-scale PCQA dataset named LS-PCQA, which includes 104 reference point clouds and more than 22,000 distorted samples. In the dataset, each reference point cloud is augmented with 31 types of impairments (e.g., Gaussian noise, contrast distortion, local missing, and compression loss) at 7 distortion levels. Besides, each distorted point cloud is assigned with a pseudo-quality score as its substitute of Mean Opinion Score. Inspired by the hierarchical perception system and considering the intrinsic attributes of point clouds, we propose a NR metric ResSCNN based on sparse convolutional neural network (CNN) to accurately estimate the subjective quality of point clouds. We conduct several experiments to evaluate the performance of the proposed NR metric. The results demonstrate that ResSCNN exhibits the state-of-the-art performance among all the existing NR-PCQA metrics and even outperforms some FR metrics. The dataset presented in this work will be made publicly accessible at
https://smt.sjtu.edu.cn
. The source code for the proposed ResSCNN can be found at
https://github.com/lyp22/ResSCNN
.
Effects of total knee arthroplasty on skeletal muscle structure and function at the cellular, organellar, and molecular levels
Authors: Toth Michael J. , Savage Patrick D. , Voigt Thomas B. , Anair Bradley M. , Bunn Janice Y. , Smith Isaac B. , Tourville Timothy W. , Blankstein Michael , Stevens-Lapsley Jennifer , Nelms Nathaniel J.
Published: July 2022

We report the first evaluation of the effects of total knee arthroplasty (TKA) on skeletal muscle at the cellular and subcellular levels. We found marked effects of TKA to cause skeletal muscle fiber atrophy and contractile dysfunction in older adults, as well as molecular mechanisms underlying impaired contractility. Our results reveal profound effects of TKA on muscle fiber size and intrinsic contractility early after surgery that may contribute to functional disability.
Effects of exercise-induced metabolic and mechanical loading on skeletal muscle mitochondrial function in male rats
Authors: Touron Julianne , Perrault Hélène , Maisonnave Laura , Patrac Véronique , Walrand Stéphane , Malpuech-Brugere Corinne , Pereira Bruno , Burelle Yan , Costes Frédéric , Richard Ruddy
Published: July 2022

Anticipating outcomes of eccentric versus concentric training is confounded by differences in mechanical efficiency. Our observations in groups of rats submitted to uphill and downhill running regimens inducing similar levels of metabolic demands or same external power outputs reaffirm that independent of modality, oxygen requirements and not external work governs skeletal muscle mitochondrial function adaptations.
On Nonsmooth Global Implicit Function Theorems for Locally Lipschitz Functions from Banach Spaces to Euclidean Spaces
Authors: Degla Guy , Dansou Cyrille , Dohemeto Fortuné
Published: July 2022

In this paper, we establish a generalization of the Galewski-Rădulescu nonsmooth global implicit function theorem to locally Lipschitz functions defined from infinite dimensional Banach spaces into Euclidean spaces. Moreover, we derive, under suitable conditions, a series of results on the existence, uniqueness, and possible continuity of global implicit functions that parametrize the set of zeros of locally Lipschitz functions. Our methods rely on a nonsmooth critical point theory based on a generalization of the Ekeland variational principle.
Establishment and Analysis of an Individualized EMT-Related Gene Signature for the Prognosis of Breast Cancer in Female Patients
Authors: Xue Wei , Sun Chenyu , Yuan Hui , Yang Xin , Zhang Qiuping , Liao Yunnuo , Guo Hongwei
Published: July 2022

Background. The current high mortality rate of female breast cancer (BC) patients emphasizes the necessity of identifying powerful and reliable prognostic signatures in BC patients. Epithelial-mesenchymal transition (EMT) was reported to be associated with the development of BC. The purpose of this study was to identify prognostic biomarkers that predict overall survival (OS) in female BC patients by integrating data from TCGA database. Method. We first downloaded the dataset in TCGA and identified gene signatures by overlapping candidate genes. Differential analysis was performed to find differential EMT-related genes. Univariate regression analysis was then performed to identify candidate prognostic variables. We then developed a prognostic model by multivariate analysis to predict OS. Calibration curves, receiver operating characteristics (ROC) curves,

C

-index, and decision curve analysis (DCA) were used to test the veracity of the prognostic model. Result. In this study, we identified and validated a prognostic model integrating age and six genes (CD44, P3H1, SDC1, COL4A1, TGFβ1, and SERPINE1).

C

-index values for BC patients were 0.672 (95% CI 0.611–0.732) and 0.692 (95% CI 0.586–0.798) in the training cohort and test set, respectively. The calibration curve and the DCA curve show the good predictive performance of the model. Conclusion. This study offered a robust predictive model for OS prediction in female BC patients and may provide a more accurate treatment strategy and personalized therapy in the future.
CCT6A and CHCHD2 Are Coamplified with EGFR and Associated with the Unfavorable Clinical Outcomes of Lung Adenocarcinoma
Authors: Wang Haiwei , Wang Xinrui , Xu Liangpu , Lin Yingying , Zhang Ji
Published: July 2022

Chaperonin containing TCP1 subunit 6A (CCT6A) and coiled-coil-helix-coiled-coil-helix domain containing 2 (CHCHD2) are located at the chromosome 7p11 region proximal to epidermal growth factor receptor (EGFR). However, the amplifications, expressions, and the prognostic effects of CCT6A and CHCDH2 in lung adenocarcinoma (LUAD) are unclear. Here, using The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets, we found that CCT6A was coamplified and coexpressed with EGFR in LUAD patients. CCT6A amplification was correlated with the unfavorable outcomes of LUAD. Moreover, CCT6A was upregulated in LUAD tissues, and CCT6A overexpression was correlated with the unfavorable relapse free survival or overall survival of LUAD. On the contrary, CCT6A was hypomethylated in LUAD, and CCT6A hypermethylation was correlated with the favorable overall survival of LUAD. Similar expression and methylation profiling of CCT6A were obtained in 479 lung normal tissues and 544 LUAD tissues collected from 11 independent datasets. In 1,462 LUAD patients from eight independent cohorts, CCT6A was also correlated with LUAD relapse-free survival or overall survival. Furthermore, CCT6A overexpression promoted the cell growth and invasion of LUAD. Identification of genes differentially expressed in CCT6A highly expressed LUAD patients revealed that CHCHD2 was the most correlated with CCT6A expression. CHCHD2 was coamplified with CCT6A. CHCHD2 was upregulated in LUAD tissues, and overexpression of CHCHD2 was correlated with the shorted relapse-free survival or overall survival of LUAD. Overall, our results revealed that CCT6A and CHCHD2 were coamplifying and coexpressing with EGFR and were correlated with the unfavorable clinical outcomes of LUAD.
Nursing Methods and Experience of Local Anesthesia Patients under Arthroscope
Authors: Zhang Xiaowei , JingWang  , Gao Weixu , Li Lijuan , LiangYu  , Liu Kun , Li Nan
Published: July 2022

In order to solve the nursing problems of local anesthesia patients under arthroscopy, a nursing method and experience based on local anesthesia patients under arthroscopy was proposed. From June 2019 to May 2021, 478 patients who underwent knee arthroscopy under spinal anesthesia or local anesthesia were retrospectively investigated, including 186 cases (38.9%) under local anesthesia and 292 cases (61.1%) under spinal anesthesia. 2% lidocaine plus epinephrine was injected locally and intra-articular in patients with local anesthesia, and 0.75% bupivacaine in patients with spinal anesthesia. It was found that in the local anesthesia group and spinal anesthesia group, 94.1% (175/186) and 98.3% (287/292) patients did not feel pain during operation. 93.0% (173/186 cases) and 96.2% (281/292 cases) of patients in the two groups were satisfied or very satisfied with the effect of anesthesia, respectively. The experimental results showed that local anesthesia was a simple and effective anesthesia method for knee arthroscopy, which was more reliable and safer than spinal anesthesia. Local anesthesia could be used for knee arthroscopy or cleaning and rinsing, free body removal, or even common meniscinoplasty.
How Differing Audiences Were Associated with User Emotional Expression on a Well-Being App
Authors: Topitzer Maya , Kou Yueming , Kasumba Robert , Kreniske Philip
Published: July 2022

In the last five years, there has been an explosion of mobile apps that aim to impact emotional well-being, yet limited research has examined the ways that users interact, and specifically write to develop a therapeutic alliance within these apps. Writing is a developmental practice in which a narrator transforms amorphous thoughts and emotions into expressions, and according to narrative theory, the linguistic characteristics of writing can be understood as a physical manifestation of a narrator’s affect. Informed by literacy theorists who have argued convincingly that narrators address different audiences in different ways, we used IBM Watson’s Natural Language Processing software (IBM Watson NLP) to examine how users expression of emotion on a well-being app differed depending on the audience. Our findings demonstrate that audience was strongly associated with the way users expressed emotions in writing. When writing to an explicit audience users wrote longer narratives, with less sadness, less anger, less disgust, less fear, and more joy, these findings have direct relevance for researchers and well-being app design.
Usability Heuristics for Evaluating Arabic Mobile Games
Authors: Muhanna Muhanna , Masoud Alhakem , Qusef Abdallah
Published: July 2022

The use of Arabic mobile games has increased in the last decade. The Arabic mobile game market is rapidly growing as well, where more games are being developed or localized to target Arabic game players and attract newcomers. Little existing work, however, has been done to ensure the delivery of effective, efficient, and satisfying Arabic mobile games. Previous studies have shown that most developers of Arabic mobile games do not evaluate these games because of the lack of usability evaluation methods that are specifically designed for such games. In this paper, we present Arabic Mobile Game Heuristics, which is a list of usability heuristics that were explicitly adapted for evaluating Arabic mobile games. The list was developed by revising and modifying Nielsen’s list of heuristics and the game usability principles. Validating the proposed heuristics was achieved by comparing the outcomes of evaluating two Arabic mobile games using the three lists of usability heuristics. Results indicate that the proposed heuristics allowed evaluators to find additional usability issues and identify more severe problems than using the other two lists.
The Influence of Stress Perception on Academic Procrastination in Postgraduate Students: The Role of Self-Efficacy for Self-Regulated Learning and Self-Control
Authors: Ma Yan , Yang Xi Mei , Hong Lan , Tang Ren Ju
Published: July 2022

Academic procrastination is a common problem among current master’s degree students in their research activities and is an important factor that hinders academic progress. Based on the cognitive theory perspective, this study conducted a web-based questionnaire survey on full-time master’s students enrolled in a teacher training university in southwest China. The data collected were analyzed by using SPSS software with hierarchical regression and PROCESS macroprogramming techniques to investigate the relationship between stress perception and academic procrastination and the moderating effects of self-regulated learning efficacy and self-control among master’s students. The study showed that stress perception was a significant positive predictor of academic procrastination, and both self-regulated learning efficacy and self-control played a moderating role in the relationship between stress perception and academic procrastination. The study suggests that, firstly, to stimulate the personal potential of graduate students with reasonable perception of stress; secondly, to enhance the action ability of graduate students by strengthening metacognitive strategies; finally, to establish a two-way promotion mechanism by enhancing self-regulation and impulse control.
Building a Space Model Method Based on the Big Data Map Visual Design
Authors: Yang Liu
Published: July 2022

In order to explore how to realize visual design of building space model, this paper proposes a method of building space model based on big data map visual design. This method explores the research on how to realize the visual design of map by building space model through the key technical problems and solutions of information recommendation based on big data map. The research shows that the building space model method based on big data map visual design can effectively solve the shortcomings of traditional methods, and the work efficiency is about 65% higher than that of traditional methods. From the perspective of big data, apply the thinking and technology of big data to the field of architectural planning, and promote the innovation and development of architectural planning through the data acquisition, analysis, feedback, and evaluation technology of big data.
Sports Medical Image Modeling of Injury Prevention in Dance Learning and Sports Training
Authors: Fei Renying
Published: July 2022

In order to effectively prevent injuries in dance learning and sports training, this paper proposes a method based on sports medical image modeling. This method solves the problem of injury prevention in dance learning by studying the association analysis algorithm, medical image information system, and CT technology and analyzing the role of data mining technology in the medical image information system. The experimental results show that the average prediction error of CT and US is about 5%, which can be considered that the model can predict accurately. The error of MR is as high as 28.2%, and the prediction is relatively inaccurate. Conclusion. the model can effectively prevent the injury in training.
Influence of Epoxy/Nanosilica on Mechanical Performance of Hemp/Kevlar Fiber Reinforced Hybrid Composite with an Ultrasonic Frequency
Authors: Velmurugan G. , Natrayan L. , Rao Yenda Srinivasa , Gaur Piyush , Sekar S. , Chebolu Rohinikumar , Patil Pravin P. , Paramasivam Prabhu
Published: July 2022

Ultrasonic vibration was employed in blending the nanosilica into epoxy resin to manufacture hemp/kevlar/nanosilica-based epoxy composites, with an ultrasonic occurrence of 20 kHz and a 900 W capacity of power. An ultrasonic probe was utilized to ensure the consistent dispersion of the nanoparticles in the epoxy. The mechanical characteristics of hemp/kevlar fiber reinforced with epoxy/nanosilica in a mat form have been studied. Hand layup procedures were used to create these composites, including varying weight % of nanosilica and variable fiber stacking sequencing. The different weight % are 3, 6, and 9, and the stacking sequences are B, C, and D. The effectiveness of ultrasonic irradiation on mechanical characteristics was investigated and related. The inclusion of 6 wt.% of SiO2 to the B type resulted in a 25% rise in tension and a 37% in bending. The addition of 6 wt.% silica to the C-type hybridization nanocomposite results in a 34% rise in tension and a 38% rise in bending. Extreme tension behavior is attained at 6 wt.% SiO2 with epoxy with the B type piling order, and extreme bending behavior is obtained at 6 wt.% SiO2 with the C type piling order. A B-type model composite with a 6-wt.% SiO2 addition performed better in hygroscopic than A, C, and D type model composites. An SEM is utilized to observe the microstructure of shattered materials.
Effect Evaluation of Preoperative Psychological Nursing Intervention on Sinusitis Patients Undergoing General Anesthesia by Multiplanner Reformation-Based CT
Authors: Zeng Rong , Zhang Xiaoyan , Su Lan , He Yanfang , Huang Jing
Published: July 2022

The aim of this study was at exploring the clinical effect of CT images based on multiplanner reformation (MPR) combined with a preoperative psychological nursing intervention model in sinusitis patients undergoing general anesthesia. Sixty sinusitis patients who received MPR-based CT examination and general anesthesia were selected as the study subjects and randomly divided into the control group (

n
=
30

) and the experimental group (

n
=
30

). The control group used traditional preoperative education. The experimental group added the psychological nursing intervention based on traditional preoperative education. The blood pressure and heart rate before and after the operation, the self-rating anxiety scale (SAS) score before and after intervention, and satisfaction were comprehensively assessed. The results showed that CT based on MPR could observe the lesions and anatomical structures of the sinus wall and sinus in detail from multiple angles. The blood pressure (systolic blood pressure

135.12
±
14.89
 
mmHg

, diastolic blood pressure

87.05
±
11.24
 
mmHg

), heart rate (

78.42
±
12.19

beats/min), SAS score (

45.85
±
4.97

points), and nursing satisfaction (78.9%) of the experimental group were significantly better than those of the control group (

145.83
±
15.62
 
mmHg

,

94.21
±
10.86
 
mmHg

,

86.44
±
13.65

beats/min, 56.44 ± 5.12 points, 56.4%), and the differences were statistically significant (

P
<
0.05

). In summary, the preoperative psychological care model has a positive role in reducing the tension and anxiety of patients before general anesthesia surgery and CT based on MPR is important for the clinical diagnosis and treatment of sinusitis. This study provides a theoretical reference for the clinical treatment of patients with sinusitis.
Physicochemical Characterization of Detarium microcarpum Seeds from Northern Benin
Authors: Gani Issa Adamou , Djossou Andriano Jospin , Mazou Mouaïmine , Alitonou Guy Alain , Tchobo Fidèle Paul
Published: July 2022

The objective of this work is to determine the physicochemical characteristics of the Detarium microcarpum seeds from North Benin, specially the proximate composition, colour, minerals, and antinutritional factors using standard analytical methods. The results show that the contents of moisture, protein, total sugars, lipid, crude fiber, and ash ranged, respectively, from 10.85 to 14.69%, from 13.54 to 17.82%, from 19.69 to 32.04%, from 8.68 to 11.90%, from 19.78 to 34.24%, and from 1.5 to 3.49%. The luminance (l

∗

), red saturation (a

∗

), and yellow saturation (b

∗

) have, respectively, ranged from 60.45 to 67.64, from 5.44 to 8.86, and from 8.24 to 9.28. Seeds contain interesting contents of potassium, calcium, magnesium, manganese, sodium, and iron; they have, respectively, varied from 6141.88 to 12305.16 mg/kg, from 1254.47 to 2168.62 mg/kg, from 1298.87 to 2533.06 mg/kg, from 75.18 to 307.23 mg/kg, from 53.52 to 136.19 mg/kg, and from 28.46 to 181.42 mg/kg. The investigation of antinutritional factors indicates the presence of oxalates, phytates, total phenolic compounds, and saponins with contents that have varied, respectively, from 1.01 to 2.36%, from 0.37 to 0.87%, from 3.13 to 7.61%, and from 1.35 to 4.59%. On average, the physicochemical characteristics of the Sudanian and Sudano-Guinean zones are similar, except for total sugar content.
Performance Analysis of Logistic Model Tree-Based Ensemble Learning Algorithms for Landslide Susceptibility Mapping
Authors: Yang Panpan , Wang Nianqin , Guo Youjin , Ma Xiao , Wang Chao
Published: July 2022

Landslide susceptibility prediction (LSP) is the key technology in landslide monitoring, warning, and evaluation. In recent years, a lot of research on LSP has focused on machine learning algorithms, and the ensemble learning algorithm is a new direction to build the optimal prediction. Logistic model tree (LMT) combines the advantages of decision tree and logistic regression, which is smaller and more robust than ordinary algorithms. The main aim of this study is to construct and test LMT-based random forest (RF) and selected ensemble learning algorithms including bagging and boosting algorithms to compare their performance. Firstly, taking the county of Ziyang, China, as the study area, through historical reports, aerial-photo interpretations, and field investigations, 690 inventory maps of landslide locations were constructed and randomly divided into the 70/30 ratio for a training and validation dataset. Secondly, considering geological conditions, and landslide-induced disease and its characteristics, 14 landslide-conditioning factors was selected. Thirdly, the variance-inflation factor (VIF) and tolerance (TOL) were used to analyze the 14 factors, and the prediction ability was calculated with information-gain technology. Ultimately, the receiver-operating-characteristic (ROC) curve was applied to verify and compare model performance. Results showed that the LMT-RF model (0.897) was superior to other models, and the performance of LMT single model (0.791) was the worst. Therefore, it can be inferred that the LMT-RF model is a promising model, and the outcome of this study will be useful to planners and scientists in landslide sensitivity studies in similar situations.
Comprehensive Network Analysis Reveals the Targets and Potential Multitarget Drugs of Type 2 Diabetes Mellitus
Authors: Zhou Wan , Liu Qiang , Wang Wei , Yuan Xiao-Jing , Xiao Chun-Chun , Ye Shan-Dong
Published: July 2022

Type 2 diabetes mellitus (T2DM) is a metabolic disease with increasing prevalence and mortality year by year. The purpose of this study was to explore new therapeutic targets and candidate drugs for multitargets by single-cell RNA expression profile analysis, network pharmacology, and molecular docking. Single-cell RNA expression profiling of islet β cell samples between T2DM patients and nondiabetic controls was conducted to identify important subpopulations and the marker genes. The potential therapeutic targets of T2DM were identified by the overlap analysis of insulin-related genes and diabetes-related genes, the construction of protein-protein interaction network, and the molecular complex detection (MCODE) algorithm. The network distance method was employed to determine the potential drugs of the target. Molecular docking and molecular dynamic simulations were carried out using AutoDock Vina and Gromacs2019, respectively. Eleven cell clusters were identified by single-cell RNA sequencing (scRNA-seq) data, and three of them (C2, C8, and C10) showed significant differences between T2DM samples and normal samples. Eight genes from differential cell clusters were found from differential cell clusters to be associated with insulin activity and T2DM. The MCODE algorithm built six key subnetworks, with five of them correlating with inflammatory pathways and immune cell infiltration. Importantly, CCR5 was a gene within the key subnetworks and was differentially expressed between normal samples and T2DM samples, with the highest area under the ROC curve (AUC) of 82.5% for the diagnosis model. A total of 49 CCR5-related genes were screened, and DB05494 was identified as the most potential drug with the shortest distance to CCR5-related genes. Molecular docking illustrated that DB05494 stably bound with CCR5 (-8.0 kcal/mol) through multiple hydrogen bonds (LYS26, TYR37, TYR89, CYS178, and GLN280) and hydrophobic bonds (TRP86, PHE112, ILE198, TRP248, and TYR251). This study identified CCR5 as a potential therapeutic target and screened DB05494 as a potential drug for T2DM treatment.