bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization of Screening Strategies for COVID-19: Scoping Review
Authors: Liu Yuanhua , Yin Yun , Ward Michael P , Li Ke , Chen Yue , Duan Mengwei , Wong Paulina P Y , Hong Jie , Huang Jiaqi , Shi Jin , Zhou Xuan , Chen Xi , Xu Jiayao , Yuan Rui , Kong Lingcai , Zhang Zhijie 
Published: February 2024

Background
COVID-19 screening is an effective nonpharmaceutical intervention for identifying infected individuals and interrupting viral transmission. However, questions have been raised regarding its effectiveness in controlling the spread of novel variants and its high socioeconomic costs. Therefore, the optimization of COVID-19 screening strategies has attracted great attention.

Objective
This review aims to summarize the evidence and provide a reference basis for the optimization of screening strategies for the prevention and control of COVID-19.

Methods
We applied a methodological framework for scoping reviews and the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) checklist. We conducted a scoping review of the present publications on the optimization of COVID-19 screening strategies. We searched the PubMed, Web of Science, and Elsevier ScienceDirect databases for publications up to December 31, 2022. English publications related to screening and testing strategies for COVID-19 were included. A data-charting form, jointly developed by 2 reviewers, was used for data extraction according to the optimization directions of the screening strategies.

Results
A total of 2770 unique publications were retrieved from the database search, and 95 abstracts were retained for full-text review. There were 62 studies included in the final review. We summarized the results in 4 major aspects: the screening population (people at various risk conditions such as different regions and occupations; 12/62, 19%), the timing of screening (when the target population is tested before travel or during an outbreak; 12/62, 19%), the frequency of screening (appropriate frequencies for outbreak prevention, outbreak response, or community transmission control; 6/62, 10%), and the screening and detection procedure (the choice of individual or pooled detection and optimization of the pooling approach; 35/62, 56%).

Conclusions
This review reveals gaps in the optimization of COVID-19 screening strategies and suggests that a number of factors such as prevalence, screening accuracy, effective allocation of resources, and feasibility of strategies should be carefully considered in the development of future screening strategies.
Identification of Predictors for Clinical Deterioration in Patients With COVID-19 via Electronic Nursing Records: Retrospective Observational Study
Authors: Sung Sumi , Kim Youlim , Kim Su Hwan , Jung Hyesil 
Published: February 2024

Background
Few studies have used standardized nursing records with Systematized Nomenclature of Medicine–Clinical Terms (SNOMED CT) to identify predictors of clinical deterioration.

Objective
This study aims to standardize the nursing documentation records of patients with COVID-19 using SNOMED CT and identify predictive factors of clinical deterioration in patients with COVID-19 via standardized nursing records.

Methods
In this study, 57,558 nursing statements from 226 patients with COVID-19 were analyzed. Among these, 45,852 statements were from 207 patients in the stable (control) group and 11,706 from 19 patients in the exacerbated (case) group who were transferred to the intensive care unit within 7 days. The data were collected between December 2019 and June 2022. These nursing statements were standardized using the SNOMED CT International Edition released on November 30, 2022. The 260 unique nursing statements that accounted for the top 90% of 57,558 statements were selected as the mapping source and mapped into SNOMED CT concepts based on their meaning by 2 experts with more than 5 years of SNOMED CT mapping experience. To identify the main features of nursing statements associated with the exacerbation of patient condition, random forest algorithms were used, and optimal hyperparameters were selected for nursing problems or outcomes and nursing procedure–related statements. Additionally, logistic regression analysis was conducted to identify features that determine clinical deterioration in patients with COVID-19.

Results
All nursing statements were semantically mapped to SNOMED CT concepts for “clinical finding,” “situation with explicit context,” and “procedure” hierarchies. The interrater reliability of the mapping results was 87.7%. The most important features calculated by random forest were “oxygen saturation below reference range,” “dyspnea,” “tachypnea,” and “cough” in “clinical finding,” and “oxygen therapy,” “pulse oximetry monitoring,” “temperature taking,” “notification of physician,” and “education about isolation for infection control” in “procedure.” Among these, “dyspnea” and “inadequate food diet” in “clinical finding” increased clinical deterioration risk (dyspnea: odds ratio [OR] 5.99, 95% CI 2.25-20.29; inadequate food diet: OR 10.0, 95% CI 2.71-40.84), and “oxygen therapy” and “notification of physician” in “procedure” also increased the risk of clinical deterioration in patients with COVID-19 (oxygen therapy: OR 1.89, 95% CI 1.25-3.05; notification of physician: OR 1.72, 95% CI 1.02-2.97).

Conclusions
The study used SNOMED CT to express and standardize nursing statements. Further, it revealed the importance of standardized nursing records as predictive variables for clinical deterioration in patients.
SF6 Intracameral para Desprendimiento de Membrana de Descemet: una complicación postquirúrgica de la Cirugía de Catarata
Authors: Tello Arquíñego Johans Neil 
Published: February 2024

El Desprendimiento de la Membrana de Descemet (DMD) es una complicación ampliamente descrita, que se origina durante o posterior a procedimientos intraoculares como cirugías de catarata o trabeculectomías, presentándose de manera central, periférica o combinada, llegando en muchos casos, a resolverse de manera espontánea. Cuando el desprendimiento ocurre de manera intraoperatoria y se llega a tratar de forma temprana, los resultados en su mayoría son satisfactorios, sin embargo, cuando el diagnóstico es tardío, el pronóstico visual puede ser reservado. Se presenta el caso clínico de un paciente de 83 años, sometido a una cirugía de facoemulsificación sin complicaciones, que presentó edema corneal persistente sin mejoría de la agudeza visual (AV) en el post operatorio, se realizó una Tomografía de Coherencia óptica de Segmento Anterior (AS-OCT) apreciándose un DMD siendo tratado con hexafluoro de azufre (SF6) al 20%. El edema corneal ser resolvió, presentando una agudeza visual mejor corregida (AVMC) de 20/30 a las 2 semanas.
Palabras Clave: Desprendimiento membrana Descemet, Cirugía de catarata, edema corneal.
Insights into Autophagic Machinery and Lysosomal Function in Cells Involved in the Psoriatic Immune-Mediated Inflammatory Cascade
Authors: Kuczyńska Martyna , Moskot Marta , Gabig-Cimińska Magdalena 
Published: February 2024

Abstract
Impaired autophagy, due to the dysfunction of lysosomal organelles, contributes to maladaptive responses by pathways central to the immune system. Deciphering the immune–inflammatory ecosystem is essential, but remains a major challenge in terms of understanding the mechanisms responsible for autoimmune diseases. Accumulating evidence implicates a role that is played by a dysfunctional autophagy–lysosomal pathway (ALP) and an immune niche in psoriasis (Ps), one of the most common chronic skin diseases, characterized by the co-existence of autoimmune and autoinflammatory responses. The dysregulated autophagy associated with the defective lysosomal system is only one aspect of Ps pathogenesis. It probably cannot fully explain the pathomechanism involved in Ps, but it is likely important and should be seriously considered in Ps research. This review provides a recent update on discoveries in the field. Also, it sheds light on how the dysregulation of intracellular pathways, coming from modulated autophagy and endolysosomal trafficking, characteristic of key players of the disease, i.e., skin-resident cells, as well as circulating immune cells, may be responsible for immune impairment and the development of Ps.
The Embodiment of Aesthetic Education Elements in Vocal Singing Theory and Teaching Practice in the Internet Era
Authors: Gong Ruyue 
Published: February 2024

Abstract
The teaching of vocal singing in colleges and universities needs to create a teaching environment that is both interesting and knowledgeable for students, and continuously improve their aesthetic ability and comprehensive quality. Based on the ARCS model, this paper designs the structure of the SPOC teaching platform and establishes the teaching mode of vocal singing flipped classroom based on the original folk songs in the cultural tourism industry as the main source of teaching resources. A multiple linear regression model is chosen to analyze the influencing factors of the teaching quality of vocal singing flipped classrooms, and the least squares estimation of the regression model is used to decompose the singular value. For the vocal singing flipped classroom teaching model established in this paper, a multiple linear regression model was established by choosing teaching content, teaching environment, and teaching method as explanatory variables, and the validity was verified in terms of benchmark regression and teaching practice. The results show that teaching content, teaching environment, and teaching method are all significant at a 1% level on the teaching quality of vocal singing flipped classroom, and the fitting value of the three is 0.7856, and the singing emotion expression scores of the students in the group with serious singing problems before and after the teaching experiment have been improved by 6.11 points as a whole. Enhancing students’ aesthetic abilities and emotional expression can be achieved through teaching vocal singing based on aesthetic elements.
Short-term power load forecasting model based on multi-strategy improved WOA optimized LSTM
Authors: Liang Qian , Wang Wencheng , Wang Yinchao 
Published: February 2024

Abstract
Accurate short-term power load forecasting is essential to balance energy supply and demand, thus minimizing operating costs. However, power load data possesses temporal and nonlinear characteristics, and to mitigate the effects of these factors on the prediction results, we introduce the Long Short-Term Memory neural network (LSTM, Long Short-Term Memory). However, the performance of the LSTM algorithm is highly dependent on the pre-set parameters, and relying on empirically set parameters will make the model have low generalization performance and reduce the prediction effect. In this regard, a prediction model (CWOA-LSTM) combining improved whale optimization algorithm and LSTM is proposed. The whale population is initialized using Circle chaotic sequences; nonlinear time-varying factors, inertial weight balance and Corsi variance are introduced. CWOA optimized the parameters of LSTM, and the experimental results showed that the MAE, MAPE, and RMSE of CWOA-LSTM were reduced by 13.1775 MV, 0.18423%, and 17.415 MV, respectively, compared with LSTM, which verified the accuracy and stability of CWOA-LSTM model.
Application of VR technology in sports training in colleges and universities
Authors: Liu Bo , Tian Delin 
Published: February 2024

Abstract
In this study, a digital human model was constructed using virtual reality (VR) technology to simulate sports training to reduce injuries caused by improper training. A distance likelihood-based probabilistic model was developed to capture and reconstruct sports training movement data by incorporating computer techniques to improve the quality of data capture. In addition, the study created an adaptive graph convolutional neural network to recognize the same movement under different viewpoints. Through experiments in taekwondo double flying kick training, it was demonstrated that the virtual simulation model could significantly improve the training effect, and the experimental group’s performance of high horizontal kick and double flying kick enhanced by 21.73% and 85.21%, respectively. Applying VR technology to sports training can not only avoid injuries but also significantly improve the training effect.
Application of Ni/MgO catalysts in the pyrolysis of bituminous coal
Authors: Zheng Jintao , Wang Likun , Ye Jiapeng , Gao Peng 
Published: February 2024

Abstract
Carbon pyrolysis is one of the essential ways to improve carbon energy utilization and reduce environmental pollution. The main product of carbon pyrolysis process is tar, and improving tar yield can not only increase the resource utilization efficiency, but also reduce the pollution to the environment. Therefore, this paper investigates the application of Ni/MgO catalyst in the pyrolysis process of bituminous coal. The experimental results show that Ni/MgO catalyst can effectively activate small molecule radicals and make them combine with prominent molecule radicals stably to improve the tar yield. Meanwhile, when it is under the pyrolysis gas environment, pyrolysis temperature reaches 570 ℃, gas flow rate is 375 ml/min, and the catalyst is selected to be filled in the upper layer, the activation effect of Ni/MgO catalyst is more prominent, and it can significantly increase the tar yield and the proportion of light oil. Ni/MgO catalyst had the best effect in tar yield increase compared to other catalysts, but the performance was average in fair oil percentage increase. The catalyst could also reduce the number of aliphatics in the tar and increase the proportion of non-aliphatics, improving the tar quality.
Analysis of Enterprise Management and Marketing Strategy Innovation Based on Big Data Era
Authors: Yin You 
Published: February 2024

Abstract
The improvement of the level of informationization and the development of network science and technology have prompted the transformation of marketing methods, and the requirements of the market for the management of enterprise marketing strategy are also improving. This paper integrates the process of enterprise management and enterprise marketing strategy construction, and constructs the model of continuous marketing ability according to the system of enterprise marketing strategy operation ability and marketing strategy construction process, and constructs the model of enterprise management and enterprise constant marketing ability. From the perspective of resources and competition, the enterprise marketing power model and marketing resource allocation model are proposed and analyzed. Combined with the market research data, the user groups of R Vehicles Ltd. are characterized. With the help of LDA method, the theme capture of multi-platform user evaluation text is carried out to establish the product word-of-mouth marketing model. According to the enterprise marketing grid resource demand, BP neural network is constructed to predict the enterprise marketing expenses and evaluate the efficiency of marketing resource allocation. The analysis shows that the company’s marketing staff salary accounts for 0.4909 of the total marketing resources, resulting in a waste of resources, and thus the company should adjust the ratio of marketing resource allocation, focusing on the input to output ratio.
Analysis of Artificial Intelligence-Assisted Japanese Literature Teaching Reform and the Cultivation of Intercultural Communication Skills
Authors: Zheng Ying , Li Xianrui 
Published: February 2024

Abstract
With the deepening of Sino-Japanese economic and trade cooperation, the demand for enterprises for Japanese intercultural communication talents is increasing. In this paper, with the assistance of artificial intelligence, we constructed an innovative teaching mode of automatic association of Japanese expressions based on natural language processing technology and semantic analysis model of Japanese Literature, which deepens students’ understanding, memorization, and application of Japanese vocabulary by dispersing and associating the cultural context of Japanese Literature. The semantic similarity calculation parses participles and morphemes in Literature to find the vocabulary that can be substituted for the specified objects and form new example sentences. Finally, through the specific application of the innovative teaching mode by the Japanese language program of University X, the impact of the mode on the cultivation of students’ intercultural communicative competence was explored. The results show that the before-and-after difference in ICC competence in the class taught with the innovative mode is -10.134, while the before-and-after difference in the class prepared with the traditional mode is only -1.012, indicating that the proposed creative reform teaching mode has a pronounced effect on the cultivation of students’ intercultural communicative competence. This study realizes the digital reform of teaching the selected Japanese literature course and provides a reference path for cultivating students’ intercultural communicative competence.
Prospects and Application of Solid-State Fermentation in Animal Feed Production – A Review
Authors: Betchem Garba , Monto Abdul Razak , Lu Feng , Billong Laura Flavorta , Ma Haile 
Published: February 2024

Abstract
Animal feed production has recently received significant attention in the food and livestock sectors due to its high nutritional value and substantial environmental potential. Extensive studies have been conducted to explore the effects of solid fermented feeds on different growth stages of animals but also on the health status of animals, the quality of animal products, and the composition of intestinal micro-flora to replace non-fermented feed production. The purpose of this review is to provide up-to-date existing trends, recent developments, and prospects of solid-state fermentation (SSF) practices for the production of animal feeds. Studies on enhancing nutritional factors by increasing the crude protein content, enzymes, and antioxidant activity of feed using physical processing methods on agro-industrial waste such as rapeseed meal, cottonseed, wheat bran, soybean meal, and legumes by mainly SSF are reviewed and discussed thoroughly.
A Brief Overview of Federated Learning - A New Perspective on Data Privacy
Authors: Lipovanu Iuliana-Alexandra , Pascal Carlos , Căruntu Constantin-Florin 
Published: February 2024

Abstract
While privacy concerns remain the main challenge starting with the promulgation of the General Data Protection Regulation (GDPR), for deep learning applications, Google introduced recently the Federated Learning (FL) technique to offer support for high privacy-sensitive data, which makes FL a hot research topic nowadays. Thus, it is a distributed machine learning technique in which multiple devices (clients) collaboratively train a global model to solve issues where the first concern is data privacy. This work provides a brief study of FL: an overview of this new topic, related works, a comparison with other machine learning techniques, an overview of algorithms that are currently used, and, in the end, some simulation results and new directions of research. The simulations show the distributed behavior of the FL algorithm and the way in which the Federated Averaging method can be applied. Through the performed analysis of the obtained results, it was figured out that approach would be beneficial for several applications in domains like automotive, 5G and others.
The War in Ukraine and Its Impact on Global Agricultural Trade
Authors: Mykhailova Mariia , Yatsenko Olha , Zavadska Yuliia , Afanasieva Oksana , Haas Rainer 
Published: February 2024

Summary
The Russian invasion of Ukraine represents an unforeseen and significant market disruption for global trade with wide-ranging effects on global trade, particularly on the economies of the major import countries of Ukrainian agricultural commodities. The general impact and consequences of the war on the global economy are described, and key components of the market disruptions are identified and put into a historical and geographical context. The degree of interconnectedness between the war in Ukraine and world trade and global gross domestic product (GDP) indices is highlighted. Changes in production and export volumes of the main Ukrainian agricultural commodities and their impact on major import countries are described. Actual and future measures to stabilise and soften the volatility of affected agricultural markets are presented.
Impact of Fluid pH on Spontaneous Imbibition Behavior in Carbonate Rocks
Authors: Pratama M. A. , Khan H. J. 
Published: February 2024

Abstract
Reactive transport in porous media exhibits multifaceted interactions that are dependent on the matrix and fluid properties, and which ultimately alter these properties. Two key factors in the reactive interactions during transport in permeable rocks is the rock mineralogy and its petrophysical properties. In this work, we study the impact of reactive transport during spontaneous imbibition on the rock properties in carbonate rocks at two different acidic conditions.
Two sets of three carbonate rock samples with unique mineralogy and varying petrophysical properties are selected. Capillary rise experiment is performed in each sample, first with deionized water and then with a dilute HCl solution (pH 2 and pH 4). Pre- and post-acid petrophysical properties such as porosity, permeability, pore size distribution and contact angle are measured for each sample along with the capillary rise profile. The latter is tracked by applying image analysis on video recording.
The acidic fluid intrusion into the rock samples is significantly affected by the rock mineralogy and therefore shows drastically different behavior in the three carbonate rock types. Calcite dissolution is the main reaction which results in opening of the pore space. This is more prominent in lower-pH acid solution. Higher capillary rise is seen in all samples with lower pH when compared to the neutral fluid and weaker acid, along with higher porosity and mean pore-size increase. Higher imbibition rate is also observed for the stronger acid. Minute variations in the wettability state is noticed: lower pH causes the sample to become more water-wet and the higher pH causes the sample wettability to remain unchanged.
Coupling capillary interactions with fluid reactivity is often neglected in fluid transport phenomena. This study offers new insights into the relative importance of reactivity at the timescale of spontaneous imbibition. This is important in understanding reactive fluid transport during acid stimulation operation and geo-sequestration.