bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of a New Multi‐step Iteration Scheme for Solving Non‐Linear Models with Complex Polynomiography
Authors: Soomro Amanullah , Naseem Amir , Qureshi Sania , Al Din Ide Nasr
Published: June 2022

The appearance of nonlinear equations in science, engineering, economics, and medicine cannot be denied. Solving such equations requires numerical methods having higher‐order convergence with cost‐effectiveness, for the equations do not have exact solutions. In the pursuit of efficient numerical methods, an attempt is made to devise a modified strategy for approximating the solution of nonlinear models in either scalar or vector versions. Two numerical methods of second‐and sixth‐order convergence are carefully merged to obtain a hybrid multi‐step numerical method with twelfth‐order convergence while using seven function evaluations per iteration, resulting in the efficiency index of about 1.4262. The convergence is also ascertained theoretically, and the asymptotic error constant is computed. Furthermore, various numerical methods of varying orders are used to compare the numerical results obtained with the proposed hybrid method in approximate solution, number of iterations, absolute error, absolute functional value, and the machine time measured in seconds. The obtained results outperformed the chosen methods when applied models arising from physical and natural fields were solved. Finally, to observe the convergence graphically, some complex polynomials are plotted as polynomiographs, wherein the rapid convergence of the proposed method is guaranteed.
Characterisation of Polishing Frequency for Three Varieties of Sorghum Grain in Java, Indonesia
Authors: A’yunin Nur Arifah Qurota , Atmadja Taufiq Firdaus Al-Ghifari , Aini Nur , Haryanti Pepita
Published: June 2022

To determine the suitability of different sorghum cultivars (grown in Indonesia) for the manufacturing of acceptable food products, their properties must first be characterised. During sorghum processing, polishing may affect the final nutritional value and quality of the product. This study is aimed at determining the effects of sorghum variety and polishing frequency on nutritional value. This was achieved by using a factorial randomised block design with two factors: sorghum variety (Bioguma, Numbu, and Super) and polishing frequency (once, twice, or thrice). Tannin content, antioxidant capacity, levels of dietary fibre and resistant starch, and fat, ash, and carbohydrate content varied according to sorghum cultivar. Compared to other sorghum varieties, the Super cultivar contained the highest levels of antioxidants, dietary fibre, fat content, protein, resistant starch, and tannins (although high tannin content could be lowered by polishing grains up to three times). The frequency of polishing affected tannin and ash levels in all three sorghum varieties. Polishing frequency also affected the antioxidant capacity of polished sorghum grains. The findings from this study should be considered when determining appropriate applications for various sorghum-based food products.
Thrombosis and Anticoagulation Therapy in Systemic Lupus Erythematosus
Authors: Yuan Wenjun , Guan Fengjun
Published: June 2022

Systemic lupus erythematosus (SLE) is an autoimmune inflammatory disease in which pathogenic autoantibodies and immune complexes are formed and mediate multiple organ and tissue damage. Thrombosis is one of the most common causes of death in patients with SLE. Anticoagulant therapy blocks the vicious cycle between inflammation and thrombosis, which may greatly improve the long-term prognosis of patients with SLE. However, the etiology and pathogenesis of this disease are very complicated and have not yet been fully clarified. Therefore, in the present review, we will highlight the characteristics and mechanisms of thrombosis and focus on the anticoagulant drugs commonly used in clinical practice, thus, providing a theoretical basis for scientific and reasonable anticoagulant therapy in clinical practice.
Biomedical Microscopic Imaging in Computational Intelligence Using Deep Learning Ensemble Convolution Learning-Based Feature Extraction and Classification
Authors: Venkata Satya Vivek Tammineedi , Naureen Ayesha , Ashraf Mohd. Shaikhul , Manna Sanhita , Mateen Buttar Ahmed , Muneeshwari P. , Wazih Ahmad Mohd
Published: June 2022

Microscopy image analysis gives quantitative support for enhancing the characterizations of various diseases, including breast cancer, lung cancer, and brain tumors. As a result, it is crucial in computer-assisted diagnosis and prognosis. Understanding the biological principles underlying these dynamic image sequences often necessitates precise analysis and statistical quantification, a major discipline issue. Deep learning methods are increasingly used in bioimage processing as they grow rapidly. This research proposes novel biomedical microscopic image analysis techniques using deep learning architectures based on feature extraction and classification. Here, the input image has been taken as microscopic image, and it has been processed and analyzed for noise removal, edge smoothening, and normalization. The processed image has been extracted based on their features in microscopic image analysis using ConVol_NN architecture with AlexNet model. Then, the features have been classified using ensemble of Inception-ResNet and VGG-16 (EN_InResNet_VGG-16) architectures. The experimental results show various dataset analyses in terms of accuracy of 98%, precision of 90%, computational time of 79%, SNR of 89%, and MSE of 62%.
Construction of Digital Teaching Resources of British and American Literature Using Few-Shot Learning and Cloud Computing
Authors: Zhang Hui , Zuo Fang
Published: June 2022

British and American literature is a compulsory course for English majors in Chinese colleges and universities. It plays an important role in cultivating students’ aesthetic consciousness and moral cultivation, improving students’ humanistic quality and cultural taste, and shaping students’ complete personalities. With the rapid development of cloud technology and mobile Internet technology, mobile learning based on mobile devices will become an important direction of mobile Internet technology applications. Based on cloud computing, this paper studies the construction of digital teaching resources of the British and American literature. Through the experiment on the learning simplicity of literature courses for English majors, it is found that during the learning period of 40 people, the average proportion of the most difficult is 16.3%, the average proportion of the second difficult is 35.2%, and the average proportion of the easier is 18.5%. Compared with the next difficulty, the proportion of difficulty is the highest, followed by the easy and finally the most difficult. As one of the core technologies of cloud computing, data split storage technology adopts measures such as isomorphism and interchangeability of computing nodes, redundant storage, and multicopy fault tolerance to ensure the high security and reliability of user data and users do not have to worry about data loss and virus invasion. As a new generation of technical means, cloud computing can realize the unified management and scheduling of distributed and heterogeneous resources and provide a new development direction for promoting the coconstruction and sharing of the British and American literature digital teaching platforms in higher vocational colleges and truly realizing national learning and lifelong learning.
Integration of Network Teaching Resources of a Political Theory Course Based on the Collaborative Filtering Algorithm
Authors: Liu Xiaoli , Xiao Lei , Jing Zhengbiao
Published: June 2022

With the advent of the information age, the traditional practice teaching model presents many limitations and the popularization of the Internet makes the integration of network resources in the practice teaching of political theory courses begin to attract the attention of scholars. It has become the general trend to realize the integration of network resources in practical teaching. In view of some teachers’ lack of scientific research on the goal orientation of resource integration, there are phenomena of blind accumulation of resources, complex resource structure, and aging resource content in the teaching resource integration of the political theory course. Therefore, based on the excellent performance of the collaborative filtering algorithm in similarity, this paper improves the inaccurate and unstable situation of traditional political theory course network resource integration by modifying parameters such as Pearson similarity function and optimizing the algorithm structure. Strengthening the integration and utilization of practical teaching resources is conducive to improving the effectiveness of political theory course teaching and to alleviating the current situation of serious shortage of practical teaching resources in political theory courses.
Comprehensive Analysis of LINC01615 in Head and Neck Squamous Cell Carcinoma: A Hub Biomarker Identified by Machine Learning and Experimental Validation
Authors: Yin Xiaoyan , Wang Jingmiao , Bian Yanrui , Jia Qiaojing , Shen Ziyi , Zhang Haizhong
Published: June 2022

Background. Head and neck squamous cell carcinoma (HNSCC) is one of the most common cancers, but in clinical practice, the lack of precise biomarkers often results in an advanced diagnosis. Hence, it is crucial to explore novel biomarkers to improve the clinical outcome of HNSCC patients. Methods. We downloaded RNA-seq data consisting of 502 HNSCC tissues and 44 normal tissues from the TCGA database, and lncRNA genomic sequence information was downloaded from the GENECODE database for annotating lncRNA expression profiles. We used Cox regression analysis to screen prognostic lncRNAs, the threshold as HR >1 and

p

value <0.05. Subsequently, three survival outcomes (overall survival, progress-free interval, and disease-specific survival)-related lncRNAs overlapped to get the common lncRNAs. The hub biomarker was identified using LASSO and random forest models. Subsequently, we used a variety of statistical methods to validate the prognostic ability of the hub marker. In addition, Spearman correlation analysis between the hub marker expression and genomic heterogeneity was conducted, such as instability (MSI), homologous recombination deficiency (HRD), and tumor mutational burden (TMB). Finally, we used enrichment analysis, ssGSEA, and ESTIMATE algorithms to explore the changes in the underlying immune-related pathway and function. Finally, the MTT assay and transwell assay were performed to determine the effect of LINC01615 silencing on tumor cell proliferation, invasion, and migration. Results. Cox regression analysis revealed 133 lncRNAs with multiple prognostic significance. The machine learning algorithm screened out the hub lncRNA with the highest importance in the RF model: LINC01615. Clinical correlation analysis revealed that the LINC01615 increased with increasing the T stage, N stage, pathology grade, and clinical stage. LINC01615 could be used as a predictor of HNSCC prognosis validating by a variety of statistical methods. Subsequently, when clinical indicators were combined with the LINC01615 expression, the visualization model (nomogram) was more applicable to clinical practice. Finally, immune algorithms indicated that LINC01615 may be involved in the regulation of lymphocyte recruitment and immunological infiltration in HNSCC, and the LINC01615 expression represented genomic heterogeneity in pan-cancer. Functionally, silencing of LINC01615 suppresses cell proliferation, invasion, and migration in HEP-2 and TU212 cells. Conclusion. LINC01615 may play an important role in the prostromal cell enrichment and immunosuppressive state and serve as a prognostic biomarker in HNSCC.
Intelligent Forecasting of Air Quality and Pollution Prediction Using Machine Learning
Authors: Kothandaraman D. , Praveena N. , Varadarajkumar K. , Madhav Rao B. , Dhabliya Dharmesh , Satla Shivaprasad , Abera Worku
Published: June 2022

Air pollution consists of harmful gases and fine Particulate Matter (PM2.5) which affect the quality of air. This has not only become the key issues in scientific research but also turned to be an important social issues of the public’s life. Therefore, many experts and scholars at different R&Ds, universities, and abroad are involved in lot of research on PM2.5 pollutant predictions. In this scenario, the authors proposed various machine learning models such as linear regression, random forest, KNN, ridge and lasso, XGBoost, and AdaBoost models to predict PM2.5 pollutants in polluted cities. This experiment is carried out using Jupyter Notebook in Python 3.7.3. From the results with respect to MAE, MAPE, and RMSE metrics, among the models, XGBoost, AdaBoost, random forest, and KNN models (8.27, 0.40, and 13.85; 9.23, 0.45, and 10.59; 39.84, 1.94, and 54.59; and 49.13, 2.40, and 69.92, respectively) are observed to be more reliable models. The PM2.5 pollutant concentration (PClow-PChigh) range observed for these models is 0-18.583  μg/m3, 18.583-25.023  μg/m3, 25.023-28.234 μg/m3, and 28.234-49.032  μg/m3, respectively, so these models can both predict the PM2.5 pollutant and can forecast the air quality levels in a better way. On comparison between various existing models and proposed models, it was observed that the proposed models can predict the PM2.5 pollutant with a better performance with a reduced error rate than the existing models.
Improvement of Hand Hygiene Practices among the Healthcare Workers in a Neonatal Intensive Care Unit
Authors: Amaan Abdullahel , Dey Sanjoy Kumer , Zahan Khainoor
Published: June 2022

Background. Healthcare workers’ (HCWs) hands become progressively colonized with potential pathogens during their patient care and act as a vehicle for transmission of microorganisms to other patients. Hand hygiene is undisputedly one of the most effective infection control measures. The objective of this study was to measure the hand hygiene (HH) compliance among the doctors and nurses before and after intervention. Methodology. This quasi-experimental (before and after) study was conducted from July 2019 to July 2020 in the neonatal intensive care unit in a tertiary hospital in Bangladesh. The doctors and nurses were observed for their compliance to HH before and after the intervention. Several group discussions were arranged, and posters on HH were attached as reminders at the workstations during the intervention period. Binary logistic regression analysis of the predictors for the outcome as HH noncompliance was performed. Result. The overall compliance to HH was significantly increased in both before (from 42.9 to 83.8%,

p
=
<
0.0001

) and after (28.5 to 95.9%,

p
=
<
0.000

) patient contact, in both the case of high-risk and low-risk contacts (

p
=
<
0.000

) following the intervention. A significant reduction in the frequency of inadequate HH (20.2 to 9.7%, p = .000) was documented. In logistic regression analysis, compliance to HH was found more after the intervention (aOR = 13.315, 95% CI: 7.248–24.458). Similarly, being a physician (aOR = 0.012, 95% CI: 0.005–0.030) and moments after patient contact (aOR = 0.114, 95% CI: 0.049–0.261), significant positive predictors for compliance to HH were found. Conclusion. Significant improvements in HH compliance were achieved through a systemic, multidimensional intervention approach among the doctors and nurses in an intensive newborn care setting.
Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms
Authors: Alsheref Fahad Kamal , Fattoh Ibrahim Eldesouky , M.Ead Waleed
Published: June 2022

Competent employees are a rare commodity for great companies. The problem of maintaining good employees with experience threatens the owners of companies. The issue of employee attrition can cost employers a lot as it takes a lot to compensate for their expertise and efficiency. For this reason, in this research, we present an automated model that can predict employee attrition based on different predictive analytical techniques. These techniques have been applied with different pipeline architectures to select the best champion model. Also, an autotuning approach has been implemented to calculate the best combination of hyper parameters to build the champion model. Finally, we propose an ensemble model for selecting the most efficient model subject to different assessments measures. The results of the proposed model show that no model up until now could be considered ideal and perfect for each case of business context. Yet, our chosen model was pretty much optimal as per our requirements and adequately satisfied the intended goal.
Green Human Resource Management, Employee Work Values, and Enterprise Environmental Performance
Authors: Liu Junyan , Wu Yongli
Published: June 2022

China’s economy is developing rapidly, and enterprises are paying more and more attention to environmental protection in the process of economic development. However, relatively speaking, the environmental awareness of enterprises and employees needs to be further improved. This paper investigates the impact of green human resource management on environmental performance by questionnaire survey. A total of 372 questionnaires were distributed to front‐line employees and human resource supervisors, 357 of which were valid. Using descriptive statistics, correlation analysis, regression analysis, and mediating effect test, this paper studies the relationship between green human resource management and environmental performance, and tests the mediating role of employees’ work values between green human resource management and enterprise environmental performance. The conclusion of the empirical study has some inspiration for the green human resource management of enterprises, provides some references for the development of relevant theories, and provides practical significance for the green development of enterprises.
Microvesicles Derived from Human Umbilical Cord Mesenchymal Stem Cells Enhance Alveolar Type II Cell Proliferation and Attenuate Lung Inflammation in a Rat Model of Bronchopulmonary Dysplasia
Authors: Zhou Ou , You Jingyi , Xu Xiaochuan , Liu Jiang , Qiu Huijun , Hao Chang , Zou Wenjing , Wu Wenjie , Fu Zhou , Tian Daiyin , Zou Lin
Published: June 2022

Although it is known that exosomes derived from human umbilical cord mesenchymal stem cells (hUCMSCs) alleviate hyperoxic lung injury of bronchopulmonary dysplasia (BPD) in animal models, the role of microvesicles (MVs) derived from hUCMSCs in BPD is poorly defined. Furthermore, antenatal inflammation has been linked to high risk of BPD in preterm infants. The purpose of this study was to explore whether MVs derived from hUCMSCs can preserve lung structure and function in an antenatal lipopolysaccharide- (LPS-) induced BPD rat model and to clarify the underlying mechanism. We demonstrate that antenatal LPS induced alveolar simplification, altered lung function, and dysregulated pulmonary vasculature, which restored by hUCMSCs and MVs treatment. Furthermore, MVs were large vesicles with a diameter of 100-900 nanometers and mostly uptaken by alveolar epithelial type II cells (AT2) and macrophages. Compared with the LPS-exposed group, MVs restored the AT2 cell number and SP-C expression in vivo and promoted the proliferation of AT2 cells in vitro. MVs also restored the level of IL-6 and IL-10 in lung homogenate. Additionally, PTEN/AKT and MAPK pathways were associated with the protection of MVs. Taken together, this study suggests MVs derived from hUCMSCs improve lung architecture and function in an antenatal LPS-induced BPD rat model by promoting AT2 cell proliferation and attenuating lung inflammation; thus, MVs provide a promising therapeutic vehicle for BPD treatment.
Design and Application of the Piano Teaching System Integrating Videos and Images
Authors: Li Lina
Published: June 2022

The art of piano playing has been continuously entering into people’s life. However, with the continuous improvement of science and technology and living standards, the traditional teaching mode can no longer meet the piano teaching mode. The teaching of piano is different from traditional subjects, such as Chinese and mathematics. It requires students to experience the artistic characteristics and the live atmosphere of the players brought by the piano. This study integrates video and image teaching methods with piano teaching. Videos and images can more intuitively show the live atmosphere brought by piano players and musical artistic features brought by the piano. At the same time, this study uses the convolutional neural network (CNN) method to study the relevant features of videos and images of piano teaching. These features are mainly the characteristics of piano music, the behavior of players, and the basic knowledge of a piano. The research results show that the clustering method can effectively classify the features of videos and images in piano teaching, and the maximum classification error is only 1.89%. The CNN method also has high performance in predicting the relevant features of piano teaching videos and images. Accuracy. The largest prediction error is only 2.23%, and the linear correlation coefficient also exceeds 0.95. This set of the piano teaching mode that combines videos and images is beneficial to both teachers and students.
Machine Learning-Based Data Analytics for IoT-Enabled Industry Automation
Authors: Pandey Sunil Kr , Vanithamani S. , Shahare Padmakar , Ahmad Sayed Sayeed , Thilagamani S. , Hassan Mohamed M. , Amoatey Enoch Tetteh
Published: June 2022

The virtual network which is regarded as a bridge between real-world applications and computerized systems is termed Internet of Things (IoT). Internet of Things can access the real-world application by considering the wireless sensor network and internet facility as its main technology. The Internet o Things (IoT) comprises a global network that connects sensors, electronic devices, and software. Fog computing requires managing services among the various fog nodes. Fog computing plays a major role in the reduction in latency and energy consumption. Traces of fog nodes help to identify the location awareness to the IoT destination. As the fog nodes are geographically distributed, they can support high availability and scalability factors in large amounts of data provided by various sensors in industries. The heterogeneity issues can be handled by the proposed cognitive fog of things system by supporting interoperability and flexibility in sensors connected to machinery. The proposed work comprises of reduction in energy efficiency and latency reduction in the industrial sector with the fault analysis from the data received from sensors in machinery. The proposed system consists of the newly developed cognitive fog of things with optimization techniques. This work determines the impact of data transmission in cloud computing with the fog computing layer to improve the energy efficiency, delay time, and throughput.
Experimental and Numerical Investigation of Acoustic Performance for Full-Sized SPS
Authors: Gao Yu , Liu Kun , Jiang Wenan , Fang Yubin
Published: June 2022

The sound insulation of a sandwich plate system (SPS) was measured by the sound pressure method in fixed support boundary conditions and reverberation sound field. The results were compared with those obtained using the finite element method. The sound insulation curves obtained via experiments and numerical simulation were observed to be in agreement. This indicates that the numerical simulation method can effectively reflect the sound insulation performance of the structure. In addition, the influence of different parameters on the sound insulation performance of the structure was evaluated using the finite element method, and the weight of each parameter in the influence of sound insulation was ranked by applying the function of “fsrftest” in the software MATLAB. It was found that in the low-frequency domain, the length-to-width ratio of the SPS had the most significant effect on the sound insulation performance of the structure, and the mass ratio of the panel to core exerted the least influence on it. Furthermore, in the medium- and high-frequency domain, the main factors affecting the sound insulation were different in the different frequency ranges, and the frequency range should be considered during the design of the structure. The results can provide technical support for the analysis of the sound insulation performance of SPSs.
Clinical Status of Cardiac Rehabilitation Manners and Models
Authors: Wei Wei , Zhao Jingjie , Meng Lingzhang , Wang Xi , Wei Hongdi , Nong Keji , Li Jiahao , Wang Zechen , Shen Jiajia , He Siyuan , Yang Lihua
Published: June 2022

Cardiac rehabilitation, which combines cardiology and preventive medicine, is an important part of treatment for cardiovascular diseases. Systematically, cardiac rehabilitation, including simultaneously inhibiting endothelial injury and promoting endothelial repair, is beneficial for physical and mental recovery and reduces the risks of recurrence and death in patients with cardiovascular diseases. Cardiac rehabilitation has developed rapidly in the last 50 years. A preliminary system for cardiac rehabilitation has been developed in China. The present article mainly focuses on the progress of cardiac rehabilitation from the aspects of goals, measures, and modes of research in the current scenario.
[Retracted] The Nexus among Good E‐Governance Practice, Decentralization, and Public Administration for Sustainable Local Development
Authors: Balisany Worya , Özgit Hale , Rjoub Husam
Published: June 2022

The formulation and implementation of development‐oriented public policies, particularly in a post‐conflict state like Iraq, requires empirical investigation. Consequently, this study investigates the effect of effective e‐governance practices and decentralization on public administration in the Erbil district of Iraq. The purpose of this study is to determine the role of decentralization as a mediator between good e‐governance practices and public administration in relation to the sustainable local development of the Erbil city. The sample of 409 employees of the Erbil municipality who participated in the survey was analyzed using Partial Least Square Structural Equation Modeling (PLS‐SEM) with the assistance of WarPLS 7.0. The results of the study revealed a significant correlation between e‐governance practices and decentralization and public administration. In addition, it was discovered that decentralization has a significant effect on public administration. The finding of a significant negative relationship between e‐governance and decentralization suggests that e‐governance has a negative impact on decentralization in Erbil. The implications of the study are discussed, and the study suggests that devolving power and authority to subunits in Iraq would enhance public administration and promote sustainable local development.
Stage 4 Cytokine Release Syndrome Caused by the First Dose of Nivolumab and Ipilimumab Combination Therapy in a Patient with Metastatic Melanoma Successfully Treated with Methylprednisolone, Tocilizumab, and Etanercept
Authors: Menakuru Sasmith R. , Azeem Qiraat , Priscu Adelina , Khan Ibrahim , Beirat Amir
Published: June 2022

The authors report the first case of stage 4 cytokine release syndrome (CRS) (graded by the National Cancer Institute Common Terminology Criteria for Adverse Effects scale) involving a patient with advanced metastatic melanoma who was treated with the combination of two monoclonal antibodies, nivolumab (anti-programmed cell death receptor 1 inhibitor [PD-1]) and ipilimumab (a cytotoxic T lymphocyte-associated antigen 4 inhibitor [CTLA-4]) after her first dose of both. The patient was treated initially with methylprednisolone and tocilizumab but was refractory to treatment. A trial of etanercept was initiated due to her elevated levels of TNF-α which elicited a satisfactory response. Monoclonal antibody therapy is a new tool for the treatment of many cancers, and therefore there may be a subsequent rise in the cases of CRS and this case exemplifies a treatment algorithm. Utilizing levels of cytokines assists in tailoring treatment such as in this case where etanercept, a TNF-α inhibitor, was utilized due to the patient’s elevated levels of TNF-α.
Refractory Seizures Secondary to Vitamin B6 Deficiency in Parkinson Disease: The Role of Carbidopa-Levodopa
Authors: Wise Adina , Lemus Hernan Nicolas , Fields Madeline , Swan Matthew , Bressman Susan
Published: June 2022

Carbidopa-levodopa has been used for more than 50 years in the treatment of Parkinson disease (PD) and other movement disorders. Pyridoxal 5′-phosphate (PLP), an active form of vitamin B6 (pyridoxine), is involved in the decarboxylation of levodopa to dopamine; carbidopa, which is combined with levodopa to reduce peripheral levodopa conversion and minimize peripheral dopamine side effects, binds irreversibly with PLP. As a result, carbidopa-levodopa may cause vitamin B6 deficiency and associated sequelae, including seizures, especially in high doses. A 78-year-old gentleman with a 6-year history of PD on carbidopa-levodopa therapy and recent weight loss presented with new-onset myoclonus and focal to bilateral tonic-clonic seizures. Workup for vascular, infectious, malignant, metabolic, and autoimmune causes of seizure was unrevealing. The folate level was critically low at <2.20 ng/dL. Video EEG studies showed moderate cerebral dysfunction and seizures with diffuse onsets. Several anti-seizure medications (ASMs) were unsuccessfully tried, so empiric treatment with high-dose steroids was initiated eventually alongside intravenous vitamin B6 therapy. Following introduction of these interventions, the patient had no further epileptic events. The vitamin B6 level came back as undetectable at <1 μg/dL. The patient was discharged to a rehabilitation center for improved strength and function. At the time of writing, he remained on two ASMs as well as IV B6 supplementation. Vitamin B6 is a required cofactor in the decarboxylation of levodopa to dopamine, and high levodopa dosages may cause B6 deficiency; in addition, carbidopa binds B6 irreversibly. We recommend screening of vitamin B6 levels in PD patients, especially those requiring high or increasing doses of carbidopa-levodopa and those with poor nutrition.
Assessment of the Use of Preoperative CT Scan Image for Predicting Lymph Nodes for Resection of Colorectal Cancer: A Retrospective Study
Authors: Elzaki Amin
Published: June 2022

Introduction: Colorectal cancer (CRC) is the most common cancer that accounts for nearly 10% of the cancers, with 1.36 million people worldwide. Nodal status (N-stage) evaluation was inferior between observers, which considered CT scanning a good N-stage. We hypothesized that CRC patients’ preoperative CT scan imaging predicts the nodal and metastatic stage. Methods: This noninterventional retrospective study was carried out using patients’ medical records, including medical history and results of diagnostic tests, and preoperative clinical and pathological stages. All direct identifiers have been removed from all patient data. This study included 96 patients who underwent resection curative surgery for CRC at the Tertiary Hospital, Sudan, between March 2009 and December 2020. Results: The median age was 69 years (47–74 years), and 49 (51.04%) were female. The tumor stage of the patients was 4, 11, 74, and 7 as T1, T2, T3, and T4, respectively. A total of 38 patients with a malignant spread in lymph nodes were observed, and the median lymph node count was 11 (range 4–52). Sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, positive predictive value (PPV), negative predictive value (NPV), and accuracy calculated for the malignant lymph nodes were 75.56% (95% CI: 60.46–87.12%), 45.10% (95% CI: 31.13–59.66%), 1.38 (95% CI: 1.02–1.86), 0.54 (95% CI: 0.30–0.98), 54.84% (95% CI: 47.38–62.09%), 67.65% (95% CI: 53.53–79.15%), and 59.38% (95% CI: 48.87–69.29%), respectively. Conclusion: The preoperative CT scan images were used to predict lymph nodes with a diagnostic accuracy of 59.38% for N-stage in patients with CRC.
Statin Therapy for Preventing Recurrent Stroke in Patients with Ischemic Stroke: A Systematic Review and Meta-Analysis of Randomized Controlled Trials and Observational Cohort Studies
Authors: Yin Yue , Zhang Li , Marshall Iain , Wolfe Charles , Wang Yanzhong
Published: June 2022

Introduction: Statins are effective in preventing vascular disease and are widely recommended and used for the secondary prevention of ischemic stroke. However, there is concern from trials that statins might increase the risk of hemorrhagic stroke, partially reducing their benefit. We sought to systematically review the latest evidence on this question. Methods: Four electronic databases were searched to identify published randomized controlled trials (RCTs) and observational cohort studies (search date December 2020). Two independent reviewers carried out the eligibility assessment based on predefined inclusion criteria. We examined the outcomes of recurrent stroke (after ischemic stroke) of any type, and separately recurrent ischemic stroke and recurrent hemorrhagic stroke. RCTs and observational cohort studies were meta-analyzed separately. Odds ratios (ORs) were used to assess the effect of statin therapy. Meta-analysis was conducted using RevMan 5.4 software. Results: We retrieved 559 papers in searches, of which 11 RCTs and 12 observational cohort studies were included. Both RCTs and observational studies found that statins reduced the odds of stroke of any type in those with an initial ischemic stroke (11 RCTs: OR = 0.87, 95% CI [0.77,0.97]; p = 0.02; 12 cohort studies: OR = 0.80, 95% CI [0.66, 0.96]; p = 0.02). Both RCTs and observational studies found that recurrence of ischemic stroke was reduced by statins (6 RCTs: OR = 0.81, 95% CI [0.70, 0.93]; p = 0.002; 3 observational studies: OR = 0.67, 95% CI [0.61, 0.75]; p < 0.00001). Data from 7 RCTs and 8 cohort studies did not find a significant difference in hemorrhagic stroke but could not rule out a substantial increase or reduction (7 RCTs: OR = 1.15, 95% CI [0.62, 2.13]; p = 0.66; 8 cohort studies: OR = 0.93, 95% CI [0.71, 1.21]; p = 0.59). Conclusions: In people who have experienced an ischemic stroke, statins reduce the risk of recurrent stroke of any type medicated through a reduction of ischemic stroke. We found no increase in the risk of hemorrhagic stroke.
Dreams/Cinema/Palestine: Unoccupied Spaces in The Dream and My Love Awaits Me by the Sea
Authors: Burris Greg
Published: June 2022

This article explores the connections between dreams, cinema, and Palestine. Drawing upon the work of Ghassan Hage, the author argues that dreams and cinema should not be valued only for their connection to resistance and that these phenomena can sometimes reveal unoccupied spaces, even in occupied Palestine. The author then turns to two documentary films: Mohammad Malas’ The Dream (1987) and Mais Darwazah's My Love Awaits Me by the Sea (2013). Whereas the former film documents the dreams that haunt Palestinians at night, the latter investigates those dreams that follow them throughout the day. Through these dreams, both films stage an encounter with the unoccupied.
Photography Against Reproduction: Željko Jerman's My Year, 1977
Authors: Rounthwaite Adair
Published: June 2022

As a young artist active in socialist Zagreb in the 1970s, Željko Jerman subjected photographic prints and negatives to destructive techniques such as scratching, scribbling, and intentionally poor development. Jerman's work was heralded by curator Radoslav Putar as an attempt to “cross the boundaries and overcome the limitations of classical photography,” but also met with dismissal from less open-minded critics due to its rejection of traditional aesthetics. This article shows how through his destructive tactics, Jerman enacted a formal “death” of the photograph, while also taking death as a central philosophical and representational theme at the level of the image. His work ultimately rendered photographic development a performative act, which was intimately tied to his identity as an author and to questions about his own mortality. Via a close reading of Jerman's magnus opus My Year, 1977, the essay moreover demonstrates how he didn't dispense with notions of beauty but rather resituated them relative to questions about desire, masculinity, and the fallibility of artistic authorship. Closely connected to the New Art Practice yet more romantic and introspective in its mentality, Jerman's art adds important nuance to understandings of the role of images for Yugoslavia's famous conceptual generation.
The Notebook
Authors: García Dora
Published: June 2022

This short text is structured in two parts. The first one defines a significant part of my artistic practice as finding a way to represent thought, to transmit the action of thinking, this being done by means of short notes, diagrams, drawings, and sketches in a notebook. The second part defends an idea of art as accessible and necessary for everyone, pedagogical not in the sense that it “should” transmit knowledge but in the sense that it constructs a society where learning is pleasure.
Learning on the Run: From Psycho-Modernism to Fugitive Sociality
Authors: Ridlen Tim
Published: June 2022

Two exhibition and research projects, Creativity Exercises and Back to the Sandbox, are united by the history of reform pedagogy, Friederich Fröbel, and the legacy of the Bauhaus. The books related to the projects explore didactic and participatory art, questioning how to teach art, how to reform or radicalize education, and what participatory art practices share with pedagogy. The centerpiece of the first project is the work of Miklós Erdély and Dora Maurer, specifically the classes they organized at the Ganz-MAVAG factory in Budapest from 1975–1977. Although framed as part of an international turn toward creativity research during the cold war, a framing that crosses any East/West divide, the workshops and related projects reveal an interest in the psychology of creativity, focusing on the social subjects produced as Bauhaus-style education turned inside out. The second publication uses the sandbox as an object lesson and figure of thought to learn from the past of reform education while looking to the future. Although both projects highlight the contradictions and constraints of pedagogy, they succeed where they provide direction for the work of learning and leave the question of education's paradoxes behind.
Buoyancy Forcing Dominates the Cross-Equatorial Ocean Heat Transport Response to Northern Hemisphere Extratropical Cooling
Authors: Luongo Matthew T. , Xie Shang-Ping , Eisenman Ian
Published: June 2022

Cross-equatorial ocean heat transport (OHT) changes have been found to damp meridional shifts of the intertropical convergence zone (ITCZ) induced by hemispheric asymmetries in radiative forcing. Zonal-mean energy transport theories and idealized model simulations have suggested that these OHT changes occur primarily due to wind-driven changes in the Indo-Pacific’s shallow subtropical cells (STCs) and buoyancy-driven changes in the deep Atlantic meridional overturning circulation (AMOC). In this study we explore the partitioning between buoyancy and momentum forcing in the ocean’s response. We adjust the top-of-atmosphere solar forcing to cool the Northern Hemisphere (NH) extratropics in a novel set of comprehensive climate model simulations designed to isolate buoyancy-forced and momentum-forced changes. In this case of NH high-latitude forcing, we confirm that buoyancy-driven changes in the AMOC dominate in the Atlantic. However, in contrast with prior expectations, buoyancy-driven changes in the STCs are the primary driver of the heat transport changes in the Indo-Pacific. We find that buoyancy-forced Indo-Pacific STC changes transport nearly 4 times the amount of heat across the equator as the shallower wind-driven STC changes. This buoyancy-forced STC response arises from extratropical density perturbations that are amplified by the low cloud feedback and communicated to the tropics by the ventilated thermocline. While the ocean’s specific response is dependent on the forcing scheme, our results suggest that partitioning the ocean’s total response to energy perturbations into buoyancy and momentum forcing provides basin-specific insight into key aspects of how the ocean damps ITCZ migrations that previous zonal-mean frameworks omit.
Promoting a research culture in family medicine: Five years of scholarly works and activities group
Authors: Fields Scott A , Tanner Andy R , Bors Kathleen P , Bottera Angeline R
Published: June 2022

Background

The professional advancement of Family Medicine faculty requires contributions in the form of clinical service, teaching, and scholarly activity. While teaching and clinical work are part of the everyday routine of faculty members, a research culture can be challenging to build.

Methods

Our department started a Scholarly Works and Activities Group (SWAG). The group’s aim is to promote a collegial, collaborative research culture in the department. Meetings occur monthly, and faculty have the opportunity to discuss scholarly projects with peers, as well as promotion/tenure goals. Minutes from each meeting are sent to all faculty members in the department. The aim of this retrospective study was to determine if SWAG meetings impacted faculty scholarly activity. Data were collected on presentations, publications, and collaborations from Curriculum Vitae (CVs), and were compared between 5 years prior to the intervention and the 5 years since.

Results

Results indicated increased scholarly activity in the time period during the SWAG group meetings. Faculty presentations increased by 34% while faculty publications more than doubled (221% increase), with publications constituting a small Cohen’s d effect size. Interestingly, faculty collaboration did not increase. Two faculty members were promoted during the 5 years study period, and the total number of faculty who published went from three to eight.

Conclusions

Implementation of a monthly SWAG meeting led to an increase in faculty peer reviewed publications. Furthermore, two faculty members were promoted during the time of the intervention. A monthly faculty meeting, even when brief, can help promote and build a research culture.
CEO's Hometown Identity and Corporate Social Responsibility
Authors: Ren Shenggang , Sun Helin , Tang Yi
Published: June 2022

This study documents the effect of CEO's identification with their hometown on corporate social responsibility (CSR). We propose that firms headquartered in their CEOs’ hometowns tend to do more CSR. This is because identification with their hometown activates CEOs’ altruistic tendency to be more prosocial and makes them more likely to have long-term goals, both of which are compatible with the nature of CSR. This hometown identity effect is stronger when the firm is more locally connected and is weaker when the firm is located in a region with more diverse dialects. Analyzing a large sample of publicly listed Chinese firms for 2009–2016, we found strong support for our predictions. The robustness of our findings is confirmed by a field survey, a difference-in-differences (DID) approach, the Heckman two-stage model, the impact threshold of confounding variables (ITCV), and alternative measures of CSR and CEO hometown identity.
Translating to Maintain Existing Practices: Micro-tactics in the implementation of a new management concept
Authors: Waldorff Susanne Boch , Madsen Marie Henriette
Published: June 2022

Research has demonstrated how the translation of a new management concept into organizational practices is impacted by the translators’ engagement with their local context. We expand this literature by demonstrating how a heterogeneous institutional context prompts translators to create practice change and also practice maintenance. Building upon an interpretive analytical framework we offer a way forward to examine relationships between societal institutions and distributed collective work in change processes. Our longitudinal qualitative study based upon interviews and observations examines how the concept of value-based healthcare was translated at a hospital. The translators developed three micro-tactics: disregard, maintenance and displacement, grounded in their narration of practice changes. Translators enacted institutional logics differently at the levels of meaning and practice when they framed, rationalized and contextualized the potentialities of a new concept, and this complexity provided the possibility of various practice outcomes. We contribute to the understanding of translation by demonstrating how a heterogeneous institutional context encourages translators to change selected practices but also to decouple and maintain most of the existing practices due to their enactment of institutionalized rationalities. Moreover, we discuss how translation outcomes are impacted by collaborating actors’ shared interpretations of their institutional context. Collaborating translators need to agree on whether and what practice change is valuable for the organization, and change is only possible when they interpret that they have the leverage to align a new idea with dominant institutional logics.
Adverse Childhood Experiences, Aggression, Empathy, and Psychopathology in Adult Males Accused of Rape
Authors: Satapathy Sujata , Choudhary Vandana , Behera Chittaranjan , Swain Rajanikanta , Sharma Renu , Sagar Rajesh
Published: June 2022

Background:

Investigating the underlying psychosocial factors is a cornerstone of planning need-based intervention for adult males accused of rape. Unresolved debates on its etiology, mediation, or interaction among causal psychosocial variables fuel curiosity to scrutinize it further. Hence, we studied potential influence of and relation between adverse childhood experiences, aggression, empathy, and psychopathology in adult males accused of rape in India and investigated the risk factors for the same.

Methods:

With a correlational research design, 40 literate and consenting adult males medically confirmed for rape were recruited using convenient sampling. The assessment was done on Adverse Childhood Experiences, Aggression Questionnaire, Symptom Checklist-90, and Interpersonal Reactivity Index. Descriptive statistics, Pearson’s product–moment correlation, and stepwise linear regression analysis were calculated.

Results:

Approximately 75% of the participants experienced at least one category of Adverse Childhood Experiences. Scores above cut-off points were obtained on anger, hostility, fantasy, and personal distress. Significant correlations were obtained between adverse childhood experiences and psychopathology; between hostility and psychopathology, perspective taking, and personal distress; and in case of indirect aggression, with perspective taking and empathetic concerns. Regression analysis revealed that an increase in Symptom Checklist-90 global scores increases hostility and that lower personal distress predicts higher scores on hostility on Aggression Questionnaire.

Conclusions:

Adverse childhood experiences, aggression, and psychopathology play a critical role and, therefore, should be included as core components of the prevention of rape or relapse prevention programs at the community level.