bluuebunny/crossref_metadata_2025 huggingface dataset:
UIV-TSP: A Blockchain-Enabled Antileakage Sharing Protection Scheme for Undisclosed IIoT Vulnerabilities
Authors: Zhang Wenbo , Zhang Jing , Shi Yifei , Feng Jingyu
Published: October 2022

With the large-scale deployment of industrial Internet of things (IIoT) devices in 5/6G environments, the number of vulnerabilities threatening IIoT security is growing dramatically, including a mass of undisclosed IIoT vulnerabilities that lack mitigation measures. Coordination vulnerability disclosure (CVD) is one of the most popular vulnerabilities sharing solutions, in which security workers (SWs) can develop undisclosed vulnerability patches together. However, CVD assumes that SWs are all honest and thus offering chances for dishonest SWs to internally leak undisclosed IIoT vulnerabilities. To combat such internal threats, we propose an undisclosed IIoT vulnerabilities sharing protection (UIV-TSP) scheme against internal leakage. In this paper, a dynamic token is an implicit access credential for an SW to acquire an undisclosed vulnerability message, which is only held by the system and constantly updated with the SW access. The latest updated token can be stealthily sneaked into the acquired information as the traceability token to prevent internal leakage. To quickly distinguish dishonest SWs, the feedforward neural network (FNN) is adopted to evaluate the trust value of SWs. Meanwhile, we design a blockchain-assisted continuous logs storage method to achieve the tamper-proofing of dynamic token and the transparency of undisclosed IIoT vulnerabilities sharing. The simulation results indicate that our proposed scheme is resilient to suppress dishonest SWs and protect the IIoT undisclosed vulnerabilities effectively.
Nicandra physalodes Extract Exerts Antiaging Effects in Multiple Models and Extends the Lifespan of Caenorhabditis elegans via DAF-16 and HSF-1
Authors: Wang Jiqun , Huang Yunyuan , Shi Kaixuan , Bao Lingyuan , Xiao Chaojiang , Sun Tianyue , Mao Zhifan , Feng Jiali , Hu Zelan , Guo Zhenghan , Li Jing , Jiang Bei , Liu Wenwen , Li Jian
Published: October 2022

The development of safe and effective therapeutic interventions is an important issue for delaying aging and reducing the risk of aging-related diseases. Chinese herbal medicines for the treatment of aging and other complex diseases are desired due to their multiple components and targets. Through screening for effects on lifespan of 836 Chinese herbal medicine extracts, Nicandra physalodes extract (HL0285) was found to exhibit lifespan extension activity in Caenorhabditis elegans (C. elegans). In further experiments, HL0285 improved healthspan, enhanced stress resistance, and delayed the progression of neurodegenerative diseases in C. elegans. Additionally, it ameliorated senescence in human lung fibroblasts (MRC-5 cells) and reversed liver function damage and reduced senescence marker levels in doxorubicin- (Dox-) induced aging mice. In addition, the longevity effect of HL0285 in C. elegans was dependent on the DAF-16 and HSF-1 signaling pathways, as demonstrated by the results of the mutant lifespan, gene level, and GFP level assays. In summary, we discovered that HL0285 had an antiaging effect in C. elegans, MRC-5 cells, and Dox-induced aging mice and deserves to be explored in the future studies on antiaging agents.
Optical Fiber Multiparameter Detection and Numerical Simulation and Characteristics of Water Quality Particulate Matter Based on Single-Photon Detection Technology
Authors: Xu Quan , Gao Cuiyun , Zhou Chun
Published: October 2022

Water quality testing is of great significance for daily water use or water use in high precision manufacturing. The use of single-photon detection technology to detect water particles is one of the important methods of physical water quality detection. However, the current water quality particle detection technology needs to be improved in the range and accuracy of turbidity detection. The paper aims to use single-photon detection technology to design a fiber optic turbidity detection system to solve the current problems of small turbidity detection range and low accuracy in a large range. In response to this, this paper has made an in-depth understanding of single-photon detection technology and designed two sets of detection schemes using the performance of photons. The first set is the transmission optical fiber turbidity detection, which can effectively detect the ultralow turbidity range and a wide range of water quality particles. The second set is a scattering optical fiber turbidity detection system, which can effectively detect water particles in the low and medium turbidity range. In this paper, the two systems were integrated into a whole system, so the results of the two detection methods can also be compared, and the detected turbidity can be obtained more accurately. The experimental results showed that for the transmission optical fiber turbidity detection system, the detection effect of the system was the best under the incident light intensity of 11 wm, and the fitting value was 0.99; for the scattering optical fiber turbidity detection system, the detection effect of the system was the best under the incident light intensity of 4 wm, and the fitting value was 0.99.
An Application of thet-Extension of thep-Fibonacci Pascal Matrix in Coding Theory
Authors: Mehraban Elahe , Hashemi Mansour
Published: October 2022

We consider thet-extension of thep-Fibonacci Pascal matrix. First, we study thek-th power of thet-extension of thep-Fibonacci lower and upper triangular Pascal matrix. Then, we obtain a new code which is named thet-extension of thep-Fibonacci Pascal matrix coding/decoding by using them.
Development of Authentic Assessment in Local Wisdom-Based Reading Learning
Authors: Sukma  , Abbas Asriani , Nurhayati  , Kaharuddin  , Gheisari Asma
Published: October 2022

This study aims to establish a reading learning evaluation model based on local wisdom. This type of research is development research that refers to the ADDIE (analyze, design, development, implementation, and evaluation) development model. The study subjects were conducted at two junior high schools with 65 students and 4 Indonesian teachers. The data collection techniques used in this study are tests, interviews, observations, and questionnaires. The results obtained through the preliminary research show that there is no evaluation model for reading learning and the materials used are still based on Indonesian books. Based on preliminary research, a real evaluation model of reading learning based on local wisdom is established. The feasibility of the assessment guide is assessed through materials/content, language, and presentation. Validation results from materials and learning experts included 88% for content feasibility, 87% for language, and 85% for presentation. Meanwhile, linguists’ evaluations of products included 88% in content feasibility, 85% in language, and 86% in expressiveness; while media experts include the image/graphic aspect by 85%, the language aspect by 86%, and the display aspect by 85%. The results of the analysis of teacher response data amounted to 84% with a positive category and student response of 80.70%. From this, it can be concluded that it is very feasible to develop a product based on the real evaluation model of reading learning based on local wisdom. The implication of the application of authentic assessment to student learning outcomes, in general, is a change in behavior for the better, students become more active and creative in the teaching and learning process.
On Fatigue Detection for Air Traffic Controllers Based on Fuzzy Fusion of Multiple Features
Authors: Hu Yi , Liu Zhuo , Hou Aiqin , Wu Chase , Wei Wenbin , Wang Yanjun , Liu Min
Published: October 2022

Fatigue detection for air traffic controllers is an important yet challenging problem in aviation safety research. Most of the existing methods for this problem are based on facial features. In this paper, we propose an ensemble learning model that combines both facial features and voice features and design a fatigue detection method through multifeature fusion, referred to as Facial and Voice Stacking (FV-Stacking). Specifically, for facial features, we first use OpenCV and Dlib libraries to extract mouth and eye areas and then employ a combination of M-Convolutional Neural Network (M-CNN) and E-Convolutional Neural Network (E-CNN) to determine the state of mouth and eye closure based on five features, i.e., blinking times, average blinking time, average blinking interval, Percentage of Eyelid Closure over the Pupil over Time (PERCLOS), and Frequency of Open Mouth (FOM). For voice features, we extract the Mel-Frequency Cepstral Coefficients (MFCC) features of speech. Such facial features and voice features are fused through a carefully designed stacking model for fatigue detection. Real-life experiments are conducted on 14 air traffic controllers in Southwest Air Traffic Management Bureau of Civil Aviation of China. The results show that the proposed FV-Stacking method achieves a detection accuracy of 97%, while the best accuracy achieved by a single model is 92% and the best accuracy achieved by the state-of-the-art detection methods is 88%.
Molecular Subtypes Based on Cuproptosis-Related Genes and Tumor Microenvironment Infiltration Characterization in Colorectal Cancer
Authors: Huang Hao , Long Zhiping , Xie Yilin , Qin Pei , Kuang Lei , Li Xi , Zhao Yang , Zhang Xing , Yang Longkun , Ma Wancheng , Xiao Xiang , Liu Yu , Sun Xizhuo , Zhang Ming , Wang Fan , Hu Dongsheng , Hu Fulan
Published: October 2022

Recent studies have demonstrated the biological significance of cuproptosis modification, a newly discovered programmed cell death, in tumor progression. Nonetheless, the potential role of cuproptosis-related genes (CRGs) in the immune landscape and tumor microenvironment (TME) formation of colorectal cancer (CRC) remains unknown. We comprehensively assessed cuproptosis modification patterns of 1339 CRC samples based on 27 CRGs and systematically analyzed the correlation of these patterns with TME. The CRG-score was constructed to quantify cuproptosis characteristics by LASSO and multivariate Cox regression methods, and its predictive capability was validated in an independent cohort. We identified three distinct cuproptosis modification patterns in CRC. The TME immune cell infiltration demonstrated immune heterogeneity among these three subtypes. Enrichment for multiple metabolism signatures was pronounced in cluster A. Cluster C was significantly correlated with the signaling pathways of immune activation-related, resulting in poor prognoses. Cluster B with mixed features possibly represents a transition phenotype or intratumoral heterogeneity. Then, based on constructed eight-gene CRG-score, we found that the signature could predict the disease-free survival of CRC patients, and the low CRG-score was related to increased neoantigen load, immunity activation, and microsatellite instability-high (MSI-H). Additionally, we observed significant correlations of the CRG-score with the cancer stem cell index and chemotherapeutic drug susceptibility. This study demonstrated that cuproptosis was correlated with tumor progression, prognosis, and TME. Our findings may improve the understanding of CRGs in TME infiltration characterization of CRC patients and contribute to guiding more effective clinical therapeutic strategies.
A Defect Detection Model for Industrial Products Based on Attention and Knowledge Distillation
Authors: Zhang Ze-Kai , Zhou Ming-Le , Shao Rui , Li Min , Li Gang
Published: October 2022

Industrial quality detection is one of the important fields in machine vision. Big data analysis, the Internet of Things, edge computing, and other technologies are widely used in industrial quality detection. Studying an industrial detection algorithm that can be organically combined with the Internet of Things and edge computing is imminent. Deep learning methods in industrial quality detection have been widely proposed recently. However, due to the particularity of industrial scenarios, the existing deep learning-based general object detection methods have shortcomings in industrial applications. This study designs two isomorphic industrial detection models to solve these problems: T-model and S-model. Both proposed models combine swin-transformer with convolution in the backbone and design a residual fusion path. In the neck, this study designs a dual attention module to improve feature fusion. Second, this study presents a knowledge distiller based on the dual attention module to improve the detection accuracy of the lightweight S-model. According to the analysis of the experimental results on four public industrial defect detection datasets, the model in this study is more advantageous in industrial defect detection.
[Retracted] Innovation and Exploration of Computer‐Aided New Media Translation Course Teaching Mode under the Ecological Environment
Authors: Zhou Wei , Gao Bei
Published: October 2022

In order to analyze the innovation of computer new media‐aided translation course teaching mode under the ecological environment, this paper introduces the CorpTrans system, which analyzes the practical effect of computer‐aided translation system applied in the course teaching, verifies the role of the system in computer‐aided translation course teaching, and plays an important role in improving students’ translation ability. At the same time, starting with the development trend of new media environment, the CorpTrans system is used to innovate the teaching mode of computer‐aided translation course. The teaching ecology of the comprehensive new media translation curriculum consists of the interaction between the ecological subject of teaching and the ecological environment of teaching. Through the efforts of both teachers and students, high‐quality computer‐aided translation courses will contribute to cultivating compound translation talents. The innovation of teaching mode needs to be realized by this system, so as to better meet the requirements of improving the teaching level of translation courses.
Progress of Laser Processing Technology in Ferroelectric Nanocomposites
Authors: Ding Haijuan , Fan Yaping , Dong Hairong , Zhao Chengtao , Zhao Debiao
Published: October 2022

Although polymer-based nanocomposites have great application potential in many fields, compared with the application of ferroelectric nanocomposites in functional microscale structures and devices, especially in the field of photonics microdevices fabricated by laser processing, the development of polymer-based nanocomposites is relatively lagging behind. In this study, the polyvinylidene fluoride ferroelectric composite material was taken as the research object, and the preparation method of polymer nanocomposite material suitable for laser microstructure processing was solved by exploring the material functionalization method. The control of the optical properties of polyvinylidene fluoride ferroelectric composites was achieved through material design, control of the size of nanoparticles in the prepared polymer nanocomposites, and characterization of their structures and properties. Two-dimensional and three-dimensional structures of polymer nanocomposites were prepared by laser microstructure processing technology, and the optical properties of the microstructures were evaluated. When the applied stress field was zero, the macroscopic coercive field was larger, and the hystereswas loop was wider, while the butterfly curve changed rapidly near the coercive field, and the strain was negative. From the test results of the scanning electron microscope, it can be concluded that the lowest average power to find ablation traces was 0.06 mw, and the affected area was very small, and there was no damage to the surrounding nanotubes. Therefore, this paper believes that the damage threshold of carbon nanotubes was slightly less than 0.06 mw. This study contributes to the development of nanocomposite preparation methods for laser micromachining.
Identification of Melanoma Subsets Based on DNA Methylation Sites and Construction of a Prognosis Evaluation Model
Authors: Tengda Li , Cheng Qian , Yi Sun
Published: October 2022

Background. Melanoma is a lethal skin malignant tumor, and its formation or development is regulated by various genetic and epigenetic molecules. Although there are traditional methods provided for the doctors to evaluate the patients’ prognosis or make the diagnosis, the novel method based on epigenetic markers is still needed to make the early diagnosis. Results. We identified 256 melanoma-independent prognosis-related methylation sites (

P

 < 0.0001) and divided patients into seven methylation subgroups. Methylation levels and survival time in the C2 subgroup were lower than that of other clusters (

P

 < 0.05). We established the predicted model of prognosis risk for melanoma using the significantly changed methylation sites in C2. The model efficiently divided patients into high- and low-risk groups (area under the receiver operating characteristic curve, 0.833). Risk scores and patient survival time were negatively correlated (rs = −0.325,

P

 < 0.0001). Genes corresponding to the independent prognosis-associated methylation sites were enriched in cancer- and immunology-related pathways. We identified 35 hub genes. DOK2, GBP4, PSMB9, and NLRC5 were significantly changed according to methylation subgroups, survival, tumor stages, and T categories and were positively correlated, which was validated in the testing group (

P

 < 0.05). The levels of DOK2, GBP4, PSMB9, and NLRC5 had an opposite trend to their methylation sites in patients with poor prognosis. Conclusions. We identified seven DNA methylation subtypes and constructed a highly effective prognosis risk assessment model. The transcript levels of key genes corresponding to the independent prognosis-related methylation sites were significantly changed in patients according to prognosis and positively correlated with each other, indicating they may collaboratively promote melanoma formation. These findings further our understanding of the mechanism of melanoma and provide new targets for diagnosis and treatment.
Special Computed Tomography Imaging Features of Thymic Cyst
Authors: He Zhi-Liang , Wang Zhao-Yang , Ji Zhi-Ying
Published: October 2022

Objective. To explore the features and diagnostic value of computed tomography (CT) imaging in cases of thymic cysts. Methods. A total of 24 cases of the thymic cysts (confirmed by postoperative pathology) were retrospectively analyzed. The location, morphology, and density of the thymic cysts were summarized, and the changes in CT value of the region of interest (ROI) in the thymic cysts between noncontrast enhanced and enhanced chest scans were compared and classified. Results. The average long-axis dimension was 17.50 ± 6.00 mm, the CT value range across the 24 cases was 5–81 HU, and the average CT value of the noncontrast enhanced scans was 39.75 ± 20.66 HU. The CT value in the noncontrast enhanced scan was >20 HU in 79% of the sample cases. The CT value in the ROI of the thymic cysts under enhanced scan showed a significant decrease in 15 cases, a significant increase in 5 cases, and an insignificant change in 4 cases. Conclusion. The CT values of the thymic cysts in the enhanced scans were generally lower than in the noncontrast enhanced scans, which might be a valuable finding for thymic cysts diagnosis.
Effects of Different Intervention Factors on Vascular Endothelial Growth Factor-Induced Human Airway Smooth Muscle Cell Migration
Authors: Lv Chengtian , Liao Guangyuan , Wu Lichan , Li Jing , Gao Yuanmei
Published: October 2022

Background. Asthma airway remodeling is closely related to the abnormal migration of human airway smooth muscle cells (ASMCs), and vascular endothelial growth factor (VEGF) is involved in the pathophysiological process of asthma. This study aimed to investigate the effect of VEGF on ASMC migration through in vitro cell experiments and to intervene in ASMC migration with different asthma drugs and signaling pathway inhibitors to provide a basis for screening effective drugs for airway remodeling. Methods. The effect of VEGF on the proliferation of ASMCs was detected by the CCK-8 method, and the effect of VEGF on the migration of ASMCs was proven by scratch and transwell assays. Different asthma drugs and signaling pathway inhibitors were used to interfere with the migration of ASMCs. The number of migrating cells was compared between the intervention and nonintervention groups. Results. Our results showed that VEGF induction enhanced ASMC migration; pretreatment with the commonly used asthma drugs (salbutamol, budesonide, and ipratropium bromide) significantly attenuated VEGF-induced ASMC migration; and inhibitors SB203580, LY294002, and Y27632 blocked the VEGF-induced activation of p38 MAPK, PI3K, and ROCK signaling pathway targets in ASMCs and inhibited migration. Conclusion. This study shows that the current commonly used asthma drugs salbutamol, budesonide, and ipratropium have potential value in the treatment of airway remodeling, and the p38 MAPK, PI3K, and ROCK signaling pathway targets are involved in the VEGF-induced ASMC migration process. Signaling pathway inhibitor drugs may be a new way to treat asthma-induced airway remodeling in asthma patients in the future. However, the related mechanism and safety profile still need further research.
Continuous Gesture Sequences Recognition Based on Few-Shot Learning
Authors: Liu Zhe , Pan Cao , Wang Hongyuan
Published: October 2022

A large number of demands for space on-orbit services to ensure the on-orbit system completes its specified tasks are foreseeable, and the efficiency and the security are the most significant factors when we carry out an on-orbit mission. And it can improve human-computer interaction efficiency in operations with proper gesture recognition solutions. In actual situations, the operations are complex and changeable, so the gestures used in interaction are also difficult to predict in advance due to the compounding of multiple consecutive gestures. To recognize such gestures based on computer vision (CV) requires complex models trained by a large amount of datasets, it is often unable to obtain enough gesture samples for training a complex model in real tasks, and the cost of labeling the collected gesture samples is quite expensive. Aiming at the problems mentioned above, we propose a few-shot continuous gesture recognition scheme based on RGB video. The scheme uses Mediapipe to detect the key points of each frame in the video stream, decomposes the basic components of gesture features based on certain human palm structure, and then extracts and combines the above basic gesture features by a lightweight autoencoder network. Our scheme can achieve 89.73% recognition accuracy on the 5-way 1-shot gesture recognition task which randomly selected 142 gesture instances of 5 categories from the RWTH German fingerspelling dataset.
Application of Experiential Education Based on Modern Teaching Concept in College Management
Authors: Ding Jinglin
Published: October 2022

Experiential teaching is based on modern teaching approaches, including the construction of knowledge, the generation of emotion, and the development of ability through students’ personal experiences. Compared with traditional teaching, it has characteristics of autonomy, practice, and interaction. This is conducive to promote students’ autonomous learning, speeding up the transfer of knowledge and experience, and improving students’ personal comprehensive ability. There are various forms of experiential teaching methods in management teaching, but they should be selected reasonably according to the teaching contents. In the actual application of experiential teaching, teachers should carefully design teaching plans, pay attention to comments and summaries, and ensure the unity of theoretical teaching and experiential learning. This research work investigates experiential teaching based on modern teaching concepts and explores three application mechanisms of the experiential teaching method in the first stage. In the second stage, it proposes an algorithm to evaluate the promotion of experiential education based on modern teaching concepts in college management. The proposed algorithm is named improved gray wolf optimization-Back Propagation (IGWO-BP). IGWO balances the full search and the local search through a nonlinear convergence factor and makes the leadership gray wolf dynamically guide the population forward through a variable proportional weight. Then, IGWO is used to optimize the BP network to improve evaluation accuracy and convergence speed. Compared with the state-of-the-art machine learning methods, the proposed mechanism achieves the highest accuracy of 94.6% and an F1 score of 91.3%.
Research on Mapping Error Control of Underground Space Mobile LiDAR Constrained by Cooperative Targets
Authors: Liu Huiyun , Li Yongqiang , Wang Baoshan , Guo Zengzhang
Published: October 2022

In the underground environment, it is difficult to obtain spatial three-dimensional data because of occlusion and its complexity. Mobile light detection and ranging (LiDAR) measurement technology has the ability to obtain three-dimensional spatial information quickly and accurately, but in the underground environment, because of the lack of global navigation satellite system (GNSS) signal in the integrated navigation system, the measurement accuracy decreases with the increase of time. In this paper, an extended Kalman filter-based loose mode is constructed using the real coordinates of the center of gravity of the target and the measurement information of the laser foothold. It provides an additional space-time reference for the integrated navigation system of the mobile LiDAR system and restricts the errors. The simulation results show that the proposed method can effectively improve the measurement accuracy of mobile LiDAR system and enhance the 3D spatial perception ability of underground space.
Calcification in Thoracic Splenosis
Authors: Ullah Tofura , Chauhan Sneh , Friedman Joseph , Yoeli Gideon , Mora Maximo , Thurm Craig A.
Published: October 2022

Splenosis is a rare condition described as the implantation of ectopic splenic tissue, usually after a splenic rupture. Thoracic splenosis refers to acquired ectopic splenic tissue found within the thoracic cavity, often caused by thoracoabdominal trauma or surgery. Most cases are asymptomatic and many years may elapse before they are incidentally discovered on chest radiography or thoracic computed tomography. Splenosis is often misinterpreted as a malignancy on initial imaging. We wish to highlight a rare case of thoracic splenosis presenting with calcified and non-calcified nodules. Only two other cases of calcification have been reported in intrathoracic splenosis, neither of which provided CT images of this finding.
Analysis on the Application of Mobile Information System in the 5G Era in the Transformation of Ethnic PE Teaching in Colleges and Universities
Authors: Song Ditao , Peng Chenggen , Zhan Guiling , Yuan Zhichao , Zhang Qing
Published: October 2022

In order to solve the problem of the application of mobile information system in the transformation of ethnic physical education in colleges and universities in the 5G era, an analysis method based on the application of mobile information system in the transformation of ethnic physical education in colleges and universities in the 5G era is proposed. This method discusses the path of the transformation of ethnic physical education in colleges and universities through the analysis of the technological advantages in the 5G era. The experimental results show that: at present, under the influence of 5G technology, an important development path of ethnic physical education in colleges and universities is the modernization of education informatization. Through the construction and application of mobile information system, it can meet the increasing diversified sports needs of college students and promote the reform of college physical education. The mean value of competition video of film and television works related to classroom teaching content played before class is 4.576 standard deviation 0.673. Conclusion. On the basis of full use of 5G technology, teaching elements should be optimized, teaching resources should be enriched, and teaching mode should be reconstructed to promote the transformation of PHYSICAL education to digital information teaching.
Genetic Variants in MIR3142HG Contribute to the Predisposition of IgA Nephropathy in a Chinese Han Population
Authors: Cao Yun , Wang Ru , Zhang Haizhen , Zhai Peiming , Wei Jiali
Published: October 2022

Background: The study aimed to evaluate the association of genetic variants in MIR3142HG with the predisposition of IgA nephropathy (IgAN) in a Chinese Han population. Methods: Six single-nucleotide polymorphisms (SNPs) in MIR3142HG were chosen for genotyping among 417 IgAN cases and 424 healthy controls using Agena MassARRAY technique. Logistic regression models adjusted for age and gender were used to calculate odds ratios (ORs) and 95% confidence intervals (CI). Haploview and multifactor dimensionality reduction analysis were used to analyze the role of combined SNPs in IgAN risk. Results: Rs17057846-AA genotype (OR = 2.11, 95% CI: 1.04–4.27, p = 0.039) and rs58747524-CC genotype (OR = 1.89, 95% CI: 1.06–3.38, p = 0.032) had the higher risk for IgAN developing in the overall. Interestingly, rs7727115 had a reduced risk for IgAN in females, while rs17057846, rs2961920, and rs58747524 were related to the increased susceptibility to IgAN in females and the subjects with age ≤35 years; moreover, rs17057846 and rs58747524 conferred to the higher risk for Lee’s grade ≥III IgAN (p < 0.05 for all). Besides, the combination of rs1582417, rs7727115, and rs2961920 was the best model (testing accuracy = 0.5468, CVC = 10/10, p < 0.001) to predict IgAN predisposition compared to the single SNP alone. Conclusions: Our study firstly indicated that rs17057846 and rs58747524 in MIR3142HG contributed to the elevated risk for IgAN in a Chinese Han population. These results might provide a new insight for the molecular mechanism in the progression of IgAN.
The Effect of Foot Massage Applied to Turkish Women Living in Rural Areas on Sexual Distress and Sexual Self-Confidence: A Randomized Controlled Study
Authors: Gökbulut Nilay , Bal Zeynep , Uçar Tuba
Published: October 2022

Introduction: This study was conducted to determine the effect of foot massage applied to women with sexual distress in rural areas on sexual distress and sexual self-confidence. Material and Methods: This randomized controlled study was conducted with women who applied to a family health center located in a rural area in northern Turkey and who had sexual distress. The research sample consisted of 84 women, 42 of whom were in the experimental group and 42 in the control group. While foot massage consisting of eight sessions and lasting 4 weeks was applied to the women in the experimental group, no such intervention was applied to the control group. Research data were collected by Female Sexual Distress Scale-Revised (FSDS-R) and Sexual Self-Confidence Scale (SSS). Results: It was determined that the pre-intervention sexual distress and sexual self-confidence levels of the women in the experimental and control groups were similar and that the difference between the groups was not statistically significant (p > 0.05). After the intervention, it was determined that the mean FSDS-R scores of the women in the experimental group decreased significantly, while the mean SSS score increased significantly, and the difference between the groups was found to be statistically significant (p < 0.001). Conclusion: Foot massage can be used to reduce the level of sexual distress and increase sexual self-confidence in women with sexual distress. Health professionals who provide health services can use foot massage to positively improve sexuality in women.
Bei stationärer Aufnahme korrekte Inhalationstechnik prüfen – unabhängig von der Art des verwendeten Systems
Authors: Haidl Peter
Published: October 2022

For optimal drug delivery, dry powder inhalers (DPIs) depend on the patient’s peak inspiratory flow (PIF) and the internal resistance of the device to create turbulent energy and disaggregate the powder. A suboptimal PIF may lead to ineffective drug inhalation into the lungs. Our objective was to report the prevalence of suboptimal PIF in patients with COPD hospitalized for any reason using 1 or more DPIs. In this real-world, observational, single-site, retrospective study, PIF was measured for each DPI using the In-Check™ DIAL set to match the resistance of the DPI used by each patient. PIFs <60 and <30L/min were considered suboptimal for low to medium-high- and high-resistance DPIs, respectively. At initial hospitalization, the prevalence of suboptimal PIF was 44.6% in 829 patients (mean age, 71.7 years; 56.8% female); 21.2% were measured during admission for a COPD exacerbation. Suboptimal PIF percentages were 61.0% (38.1±9.5L/min [mean±standard deviation]) across low to medium-high-resistance DPIs and 17.2% (20.7±4.2L/min) for high-resistance DPIs. Overall, 190/829 patients had 1 or more 30-day all-cause readmission with 253 corresponding PIF measurements. For readmissions, suboptimal PIFs were observed in49.5% (94/190) of patients. Suboptimal PIF percentages were 65.4% (38.4±9.2L/min) for low to medium-high-resistance DPIs and 19.8% (22.4±3.3L/min) for high-resistance DPIs. As the overall prevalence of suboptimal PIFs in hospitalized patients with COPD varied according to the specific internal resistance of the DPI, these findings may have clinical implications for inhaler selection.
Efecto del entrenamiento de los músculos inspiratorios sobre la condición física y fuerza de los músculos respiratorios en niños y adolescentes con obesidad
Authors: Álvarez-Arroyo Maria René
Published: October 2022

Background: To determine the effect of threshold inspiratory muscle training (IMT) on functional fitness and respiratory muscle strength (RMS) compared to incentive spirometry (IS) in children/adolescents with obesity. Methods: A total of 60 obese children/adolescents aged 8-15 years were randomized into the threshold IMT group (n = 20), the IS group (n = 20), or the control group (n = 20). The IMT group performed 30 inspiratory breaths with the intensity set at 40% of baseline maximal inspiratory pressure (MIP) twice daily for 8 weeks; the IS group performed 30 breaths with sustained maximum inspiration twice daily for 8 weeks; and, the control group was assigned no training device for 8 weeks. Six-min walk test (6-MWT), RMS, and spirometry were compared between baseline and 8 weeks. Results: Six-MWT distance (528.5 ± 36.2 vs. 561.5 ± 35.2 m, p = 0.002) and MIP (121.2 ± 26.8 vs. 135.3 ± 32.1%Predicted, p = 0.03) were significantly improved after 8 weeks of IMT training. There was no significant difference in any evaluated pulmonary function parameters between baseline and 8 weeks in the IS or control groups; however, 6-MWT distance demonstrated a trend toward significant improvement in the IS group (526.9 ± 59.1 vs.549.0 ± 50.6 m, p = 0.10). No significant difference among groups was found for any variable relative to change from baseline to post-training. Conclusions: Eight weeks of threshold IMT training significantly improved both inspiratory muscle strength (MIP) and functional fitness (6-MWT) in children/adolescents with obesity. Eight weeks of IS training yielded a trend toward significantly improved functional fitness.
Articulated Imperialism in Pakistan: a Dialectic of ‘Strategic’ and ‘Dependency’ Fixes
Authors: Khan Danish
Published: October 2022

The role of the internal political economic factors of the peripheral countries tends to remain largely muted in the analysis of imperialism. To redress this the paper put forwards an articulated conceptualization of imperialism in the context of the postcolonial state of Pakistan by underscoring the significance of domestic political economic factors in mediating and regulating an imperialist political settlement. Imperialist political settlement is mediated by a combination of two interrelated processes—strategic fix and dependency fix. ‘Strategic fix’ is about addressing actual or perceived political, economic and militaristic challenges --- encapsulating both territorial and capitalist logics of power --- to core countries of the capitalist world system. Whereas, the ‘dependency fix’ is about preventing a radical progressive restructuring in dominated countries (e.g., Pakistan) to ensure a favorable socio-economic order for the domestic elites. One of the key implications of envisioning imperialist domination as a dialectic of strategic and dependency fixes is that it makes visible the shared interests of Pakistani ruling elites and the imperialist forces of blocking progressive and emancipatory political and socio-economic transformation in Pakistan. Therefore, the paper argues that an effective counter-hegemonic project against imperialism needs to incorporate strategies of progressive radical transformation of a dominated country.
Improving Safety by Evaluating the Impact of the Supply Chain and Drug Shortages on Health-Systems
Authors: Patel Vraj , Cieslak Karolina , Hertig John
Published: October 2022

Background: The COVID-19 pandemic has shown how fragile our healthcare supply chain is with product delays, drug shortages, and labor shortages being exacerbated in recent years. Objective: This article reviews current threats to the healthcare supply chain that impact patient safety and highlights potential solutions for the future. Method: A review of the literature was conducted, and important up-to-date resources associated with drug shortages and supply chain were analyzed to build foundational knowledge. Potential supply chain threats and solutions were then explored through further literature analyses. Conclusions: The information provided in this article helps to brief pharmacy leaders on current supply chain issues and solutions that can be integrated throughout the healthcare supply chain in the future.
The Relationship Between Behavior Aspects of Executive Functions and Personality Traits in Healthy Young Adults
Authors: Nikolašević Željka , Krstić Tatjana , Rajšli Akoš , Bugarski Ignjatović Vojislava
Published: October 2022

Executive functions (ЕF) are complex cognitive processes that govern our behavior and thoughts. Associations between personality traits and executive functions clarify the mechanisms of a person’s ability to function in everyday situations. The main goal of this study was to explore different personality dimensions relevant to the prediction of two different executive functions – Inhibition and Working Memory. The Big Five Inventory and the Adult Executive Functioning Inventory (ADEXI) were administered on a community sample comprising 549 young adults aged 18–35 years (mean age 22.10 years, SD 3.13). After controlling for age, gender and level of education, Conscientiousness and Extraversion were the most predictive personality traits, while Neuroticism and Agreeableness made specific contributions to the prediction of one of the two executive measures: Working Memory or Inhibition. Specifically, high Conscientiousness and Extraversion with low Neuroticism were significant predictors of Working Memory ability. On the other hand, high Conscientiousness and Agreeableness with low Extraversion predicted better Inhibition ability. These findings support the conclusion that these dimensions of individual differences seem to have numerous points of overlap at both psychological and neurobiological levels, but differences between these constructs are still significant.
Allocating Resources for Tier 2 and 3 Implementation Within Positive Behavioral Interventions and Supports
Authors: Kittelman Angus , Strickland-Cohen M. Kathleen , Conley Kathleen M. , Horner Robert H.
Published: October 2022

Schools have a finite number of resources each year to allocate towards the implementation of evidence-based practices (EBPs). Therefore, school leadership teams must carefully consider how resources are being allocated and how to maximize those resources when implementing EBPs within the context of multi-tiered systems of support, such as Positive Behavioral Interventions and Supports (PBIS). These considerations are particularly important for ensuring the sustained implementation of EBPs at the advanced tiers for students with or at-risk for disabilities who require more resource-intensive supports. Leadership teams can maximize resources most efficiently by evaluating how data systems, school personnel, materials, and space are being utilized to support implementation of EBPs across Tiers 2 and 3.
Deep learning-based fabric defect detection: A review
Authors: Kahraman Yavuz , Durmuşoğlu Alptekin
Published: October 2022

The use of the deep learning approach in the textile industry for the purpose of defect detection has become an increasing trend in the past 20 years. The majority of publications have investigated a specific problem in this field. Furthermore, many of published reviews or survey articles preferred to investigate papers from a more general perspective. Compared with published review publications, this study is the first up-to-date study that investigates the implementation of deep learning approaches for the detection of fabric defects from 2003 to the present. As the main objective of this study is to review deep learning-based fabric defect detection, the publications regarding fabric defect detection by using deep learning are examined. The methods, database, performance rates, comparisons, and architecture type of these works were compared with each other. The most widely used deep learning architectures customized deep convolutional neural networks, long short-term memory, generative adversarial networks, and autoencoders. Besides the use of the most used deep learning algorithms, the advantages and disadvantages of these approaches have also been expressed.
Poisonous Exports: Pesticides, Peasants, and Conservation Paradigms in Guatemala
Authors: Grandia Liza
Published: October 2022

U.S. intervention in Guatemala’s agricultural autonomy over the past 80 years has been a toxic blend of commission and omission. From the Green Revolution on, the United States has exported both harmful pesticides and ideological frameworks to persuade indigenous and other locally rooted small farmers to abandon traditional, chemical-free agriculture. Although U.S.-funded programs suggested that with proper labor protocols agrochemicals can be applied without harm on export plantations, there are no conditions for "safe use" under real-life conditions for small subsistence farmers, many of whom live in close proximity to protected areas. Transnational biodiversity conservation organizations have remained oddly silent on this issue, and indigenous and peasant movements have not yet mobilized against pesticides because of a paucity of information about their dangers and the “slow” violence of their impacts on health. To decolonize agriculture and conservation will require a more inclusive environmentalism aligned with peasant movements that take seriously the real conditions of risk and vulnerability in the majority-Maya Guatemalan countryside.

La intervención estadounidense en la autonomía agrícola de Guatemala en los últimos 80 años ha sido una mezcla tóxica de comisiones y omisiones. A partir de la Revolución Verde en adelante, Estados Unidos ha exportado tanto pesticidas dañinos como marcos ideológicos para persuadir a los pequeños agricultores indígenas y otros agricultores con arraigo local de abandonar la agricultura tradicional y libre de químicos. Aunque los programas financiados por Estados Unidos sugirieron que, siguiendo los protocolos laborales adecuados, no había peligro en utilizar agroquímicos en las plantaciones de exportación, no existen condiciones para su “uso seguro” en contextos de la vida real tal y como atañe a los pequeños agricultores de subsistencia, muchos de quienes viven muy cerca de áreas protegidas. Las organizaciones transnacionales de conservación de la biodiversidad han permanecido extrañamente silenciosas respecto al tema, y los movimientos indígenas y campesinos aún no se han movilizado contra los pesticidas debido a la poca información sobre sus peligros, así como la “lenta” violencia de sus impactos en la salud. Una descolonización de la agricultura y la conservación requerirá de un ambientalismo más inclusivo y alineado con los movimientos campesinos; uno que tome en cuenta las condiciones reales de riesgo y vulnerabilidad en el campo guatemalteco, con su población mayoritariamente maya.
La red que crece: Platform Politics and Social Struggle in Neoliberal Guatemala
Authors: Sippert Eric
Published: October 2022

Free-trade policies have opened the Guatemalan economy to international forces and sparked massive internal and international migration, creating new forms of social struggle produced by and engaging with these processes. A review of the 2008 advent of a grassroots organization in Western Highland Guatemala involved in binational United States–Guatemalan fair trade and migrant and solidarity organizing uses the concept of the platform instead of the network to highlight continuities and ruptures between past and present struggles. This perspective disrupts the vertical/horizontal dichotomy in social movement studies and sheds light on the effects of technological change on grassroots resistance to neoliberalism.

Las políticas de libre comercio han abierto la economía guatemalteca a las pujanzas internacionales y provocado una migración masiva tanto interna como internacional, creando nuevas formas de lucha social producidas por y comprometidas con estos procesos. Este repaso del advenimiento, en 2008, de una organización de base en las Tierras Altas Occidentales de Guatemala involucrada en promover el comercio justo binacional entre Estados Unidos y Guatemala, así como la organización migrante y los nexos de solidaridad, utiliza el concepto de la plataforma en lugar de la red para resaltar las continuidades y rupturas entre luchas pasadas y presentes. Esta perspectiva irrumpe en la dicotomía vertical/horizontal subyacente a los estudios de movimientos sociales y nos brinda una perspectiva sobre los efectos del cambio tecnológico en las resistencias de base al neoliberalismo.
Effect of X-ray exposure on nano-mechanical properties of multi-walled carbon nanotube incorporated silicone polymer nanocomposites: An AFM-based study
Authors: Vadivel M , Jayakumar Sangeetha , Lahiri B B , Philip John
Published: October 2022

Nano-mechanical properties of silicone polymer-based nanocomposites loaded with multi-walled carbon nanotube (MWCNT) as nanofillers are probed here using the atomic force microscopy (AFM) technique. Further, the effects of MWCNT concentration and X-ray exposure on the nano-mechanical and topographic properties of the polymer nanocomposites are systematically studied. The root mean square surface roughness is found to increase by ∼123% when the neat polymer matrix is loaded with 2.5 wt.% of MWCNT, whereas, for a fixed MWCNT concentration, the surface roughness is found to increase by ∼171% after X-ray irradiation. This is attributed to the X-ray induced polymer degradation, polymer pull-out and poor filler-matrix interaction leading to the aggregation of MWCNT. Adhesion force and adhesion energy are estimated from the AFM-based force-displacement curves. Both quantities are found to increase with MWCNT concentration. After an exposure to diagnostic X-rays (30–70 keV), the adhesion force is found to increase by ∼4 times, which is attributed to the increased tip-surface contact area due to the higher surface roughness of the X-ray exposed samples. Further, the variation of adhesion energy with filler concentration is found to be in agreement with the theoretical values obtained from the Johnson, Kendall and Roberts (JKR) model. The elastic modulus is found to increase with the filler concentration due to an increase in adhesion force. The obtained results are beneficial for the optimal design of nanofiller loaded polymer nanocomposites for various applications, including the fabrication of lead-free radio-opaque nanocomposites.