An Integrated Analysis of Yield Prediction Models:A Comprehensive Review of Advancements and Challenges

The growing global requirement for food and the need for sustainable farming in an era of a changing climate and scarce resources have inspired substantial crop yield prediction research.Deep learning(DL)and machine learning(ML)models effectively deal with such challenges.This research paper comprehensively analyses recent advancements in crop yield prediction from January 2016 to March 2024.In addition,it analyses the effectiveness of various input parameters considered in crop yield prediction models.We conducted an in-depth search and gathered studies that employed crop modeling and AI-based methods to predict crop yield.The total number of articles reviewed for crop yield prediction using ML,meta-modeling(Crop models coupled with ML/DL),and DL-based prediction models and input parameter selection is 125.We conduct the research by setting up five objectives for this research and discussing them after analyzing the selected research papers.Each study is assessed based on the crop type,input parameters employed for prediction,the modeling techniques adopted,and the evaluation metrics used for estimatingmodel performance.We also discuss the ethical and social impacts of AI on agriculture.However,various approaches presented in the scientific literature have delivered impressive predictions,they are complicateddue to intricate,multifactorial influences oncropgrowthand theneed for accuratedata-driven models.Therefore,thorough research is required to deal with challenges in predicting agricultural output.

Determining future high speed rail review topics through bibliometric analysis

As High Speed Rail(HSR)has proliferated globally,so has a related research field dedicated to exploring and addressing its unique issues.Yet,studies to understand and classify the HSR research domain are limited.This paper addresses the gap,using bibliometric analysis to identify future research areas and 20 candidate topics for literature review based on keyword analysis through VOSviewer.Article and review papers related to HSR published in the last 20 years(2003-2022)were retrieved from Scopus,and then analyzed to determine the split in knowledge between languages,the collaboration between countries and institutions,highly productive and cited journals,and research topics which have and have not been reviewed.Approximately 30%of the search results were published exclusively in Chinese,highlighting the importance of extending the evaluation to cover both languages.This is a novel aspect of the work,which has enabled the recognition of potential knowledge gaps.It is recommended that future reviews incorporate works in both languages,possibly through international collaboration.Institutions in China and other countries that are strong collaborators have been identified,as well as relevant,highly cited journals.

Therapeutic Communication Methods Targeting Families and Family Members: A Literature Review

Background and Purpose: Therapeutic communication is a new term in family health care nursing, defined by Hohashi (2019) as a method of family intervention, and characterized by inclusion of not only verbal conversation but also nonverbal interaction. However, specific therapeutic communication methods have not been systematized. The purpose of this study was to clarify therapeutic communication methods for families/family members from the perspectives of verbal communication and non-verbal communication through a review of existing literature. Methods: We conducted a search using the medical literature databases PubMed and Ichushi-Web using the keywords “therapeutic communication”. Analysis was performed on seven articles from PubMed and 14 articles from Ichushi-Web that described therapeutic communication methods performed by healthcare professionals for families/family members. Through directed content analysis, therapeutic communication methods were subcategorized, and classified into three categories: verbal communication, non-verbal communication, and verbal/non-verbal communication. Results: A total of 23 subcategories were extracted. Verbal communication included 11 subcategories, such as “asking questions using the communicatee’s words as they are”. Non-verbal communication included five subcategories, such as “noticing changes in the content of the communicatee’s story”. And verbal/non-verbal communication featured seven subcategories, such as “making the communicatee aware of one’s own beliefs”. Conclusion: Therapeutic communication methods included basic care/caring in family interviews/meetings, as well as verbal communication and non-verbal communication that act on family/family members’ beliefs. It is believed that changes in family/family members’ beliefs can be used to eliminate, reduce, or improve problematic conditions in the family. .

Investigation of the treatment of 3 patients with thalamic abscesses and literatures review

Objective To investigate the effective treatment of abscesses in thalanmus. Methods 3 patients with solitary abscess in thalamus are analyzed retrospectively, who were treated from Sep. 2009 to Jul. 2010. There were one male and two female patients. One patient treated with stereotactic

Socialization Development of ESG Business Models in Representative Asia-Pacific Countries:A State-of-the-Art Review and Recommendation

The integration of environmental,social,and governance(ESG)principles has become a pivotal factor in shaping sustainable and responsible corporate practices.The present study investigates the integration of ESG principles within corporate governance models in Asia-Pacific countries,focusing on socialization.By examining the governance culture,legal frameworks,and corporate practices in these representative countries,the paper delineates a strategic framework for embedding social governance into corporate strategies.The study introduces a Cultural,Economic,Legal,and Political(CELP)framework to assess corporate social governance,investigating the correlation between business practices and social changes.Through a systematic literature review and detailed thematic analysis,this paper aims to offer actionable insights and recommendations,guiding corporations in their transition towards more sustainable and socially responsible business practices.

The Classic Shaping of Typical Female Images by Mulan Motif in Historical Times-Historical Review and Textual Sorting of the Motif

The image of Mulan is well known to the public as an important symbol in the dissemination of Chinese excellent traditional culture.This paper aims to summarise the mother-title from traditional canonical texts,to explore the content and value of sustainable IP development,and to study a large number of derivatives with the image of Mulan as the mother-title,based on the wide circulation of the prototype of the mother-title“The Poem of Mulan”(木兰辞)and the positive values conveyed by the content.Through the processing and imagination of scholars and writers on the mother text in the past generations,the image of Mulan has gradually formed a relatively stable cultural communication theme in the process of dissemination in China’s historical period,and many adaptations with international influence based on the mother title of Mulan have emerged in the foreign dissemination,so through the combing and summarisation of the textual works of various periods both at home and abroad,we will dig out the textual transmission of the mother title of Mulan,which is representative of the mother title of China’s excellent traditional culture,and the development of the Chinese spiritual core.The Development of the Chinese Spiritual Kernel.This paper adopts research methods such as documentary evidence method and discourse analysis to show the textual flow of Mulan’s parent theme in a more diversified form.

The Applicability and Productiveness of a Systematic Literature Review Methodology in Volcanology Research: Case of the Magma Pathway at the Mount Cameroon Volcano

The presented research illustrates the applicability and productiveness of the systematic literature review methodology, a non-empirical methodology in the geological sciences, particularly volcanology. The systematic literature review methodology is a replicable, rigorous, and transparent methodology for synthesizing existing literature to answer questions on a specific topic. The synthesis allows for knowledge consolidation, such as identifying knowledge gaps. In our illustration of this methodology, we focused on the expanding knowledge about the magma pathway at Mount Cameroon, one of Africa’s active volcanoes. Our synthesis of the relevant international geoscience research literature is based on the framework of knowledge about the magma pathway beneath a typical basaltic volcano. The framework has three primary components: magma supply, storage, and transport to erupting vents. Across these components is a total of twelve secondary components. The result is a previously non-existent and fragmented overall understanding of the magma pathway at Mount Cameroon. The gaps in the understanding (such as in the magma supply rates, timescales of chamber processes, and magma ascent rates) may be addressed in future research. Another key implication of the presented research lies in the proof of concept of the systematic literature review methodology as an applicable qualitative research methodology in the study of volcanoes.

Irregular dietary habits as a predictor of stunting occurrence among children under 5 years of age:a literature review

Objective:To identify the illustration of feeding patterns of stunting children using literature review method.Methods:This study was a descriptive narrative research using literature review approach to explore dietary habits of children with stunting problem.All the literature review processes employed Guideline Review measurement of Joanna Briggs Institute.Related ar ticles in literature were obtained from journal databases,such as Pub Med,Science Direct,Google Scholar,and Dimensions through structured research question with Patient,Exposure an interest,Outcome or response(PEO)methods.Results:This study found 2246 published ar ticles from 2018 to 2021 about children with stunting.Screening process was conducted fur ther to eliminate ar ticles with irrelevant titles and abstracts,and also the unsuitable ar ticles with the research question;hence,about 9 ar ticles were eligible to be reviewed ahead.All these ar ticles mentioned that children with irregular dietary habits would likely experience stunting.The low intake of nutritional food became the major predictor of stunting.Conclusions:Inappropriate feeding patterns and the variety of food were being the factors of stunting emergence among children<5 years of age.High consumption of carbohydrates,less animal-based protein,and misunderstanding about intake of sweetenedcondensed milk predisposed children to suffer stunting.

A Case of Lautropia mirabilis Infection in a Lung Transplant Patient and a Review of the Literature

Lautropia mirabilis is an opportunistic pathogen that typically causes intestinal and oral infections when the body’s immune system is compromised or the microbial flora is imbalanced.Respiratory infections caused by Lautropia mirabilis are extremely rare.The symptoms and severity of Lautropia mirabilis infection may vary depending on individual differences and the site of infection.Through a review of relevant literature and this case study,it has been observed that Lautropia mirabilis may also cause pulmonary infectious diseases,and in immunocompromised patients,it can lead to severe infections,potentially resulting in death.

A Case of Waldenström Macroglobulinemia with Acute Kidney Injury as the First Manifestation and Literature Review

Waldenström macroglobulinemia is a rare lymphoid tumor accounting for 2% of all hematological malignancies. Renal complications are less common compared to multiple myeloma, with the most frequent renal manifestations being microproteinuria and microhematuria. This paper presents a case of Waldenström macroglobulinemia with acute kidney injury as the initial manifestation. A 75-year-old male was admitted to the Affiliated Hospital of Hebei University after elevated blood creatinine levels were detected for one day. Upon admission, his blood creatinine was 255 μmol/L, urine protein was 1+, urine erythrocytes were negative, electrophoresis showed IgM positivity in the κ-region, and a bone marrow biopsy indicated a tendency towards lymphoplasmacytic lymphoma. The patient was discharged after receiving a treatment regimen of prednisone acetate, thalidomide, and cyclophosphamide, and continued oral medication outside the hospital. The patient returned two weeks later due to diarrhea and was found to have a blood creatinine level of 985 μmol/L, along with severe acidosis and hyperkalemia. The patient refused renal replacement therapy and was not followed up, resulting in a poor prognosis. Additionally, a review of the literature is provided to contextualize this case within the broader scope of existing research.

A Review of Artificial Intelligence in K-12 Education

Artificial intelligence (AI) has garnered significant interest within the educational domain over the past decade, promising to revolutionise teaching and learning. This paper provides a comprehensive overview of systematic reviews conducted from 2010 to 2023 on the implementation of AI in K-12 education. By synthesising findings from ten selected systematic reviews, this study explores the multifaceted opportunities and challenges posed by AI in education. The analysis reveals several key findings: AI’s potential to personalise learning, enhance student motivation, and improve teaching efficiency are highlighted as major strengths. However, the study also identifies critical concerns, including teacher resistance, high implementation costs, ethical considerations, and the need for extensive teacher training. These findings represent the most significant insights from the analysis, while additional findings further underscore the complexity and scope of AI integration in educational settings. The study employs a SWOT analysis to summarise these insights, identifying key areas for future research and policy development. This review aims to guide educators, policymakers, and researchers in effectively leveraging AI to enhance educational outcomes while addressing its inherent challenges.

A Literature Review on Exploring Effective Flipped Classroom Strategies in College ESL Teaching

Flipped classroom has been widely recognized as an innovative and effective instructional approach by educators and researchers.In the paper,the author did a series of researches on ESL flipped classroom teaching literature and made a related literature review on its application in college ESL teaching,aiming to explore more relevant effective strategies that can promote college ESL teaching and learning effect authentically.Besides,the review can also provide some research reference for college ESL educators.

Submucous colon lipoma: A case report and review of the literature

Colon lipoma is remarkably rare in clinical practice. We reported a case of ascending colon lipoma in an 83-year-old woman. She was asymptomatic with a lipoma of 35 mm×30 mm×24 mm in size which was found by routine colonoscopy. Right hemicolectomy was performed uneventfully. The diagnosis was made by histological examination. Reviewing the literature and combining with our experience, we discussed the clinical features, diagnosis and treatment of this uncommon disease.

A systematic review of blockchain

Blockchain is considered by many to be a disruptive core technology.Although many researchers have realized the importance of blockchain,the research of blockchain is still in its infancy.Consequently,this study reviews the current academic research on blockchain,especially in the subject area of business and economics.Based on a systematic review of the literature retrieved from the Web of Science service,we explore the top-cited articles,most productive countries,and most common keywords.Additionally,we conduct a clustering analysis and identify the following five research themes:“economic benefit,”“blockchain technology,”“initial coin offerings,”“fintech revolution,”and“sharing economy.”Recommendations on future research directions and practical applications are also provided in this paper.

A review of surface ozone source apportionment in China

Air pollution caused by particulate matter has significantly improved in China in recent years since the implementation of a series of stringent clean-air regulations.However,surface ozone concentrations have increased,especially in developed city clusters,such as the Beijing–Tianjin–Hebei,Yangtze River Delta,Pearl River Delta,and Sichuan Basin regions.Due to the complexity and nonlinearity of the ozone formation,accurately locating major sources of ozone and its precursors is an important basis for the formulation of cost-effective pollution control strategies.In this paper,the authors systematically summarize the reported results and outcomes of the methods and main conclusions of ozone source apportionment(regions and categories)in China from the published literature,based on observation-based methods and emission-based methods,respectively.The authors aim to provide a comprehensive understanding of ozone pollution and reliable references for the formulation of air pollution prevention policies in China.

Intelligent Drilling and Completion:A Review

The application of artificial intelligence(AI)has become inevitable in the petroleum industry.In drilling and completion engineering,AI is regarded as a transformative technology that can lower costs and significantly improve drilling efficiency(DE),In recent years,numerous studies have focused on intelligent algorithms and their application.Advanced technologies,such as digital twins and physics-guided neural networks,are expected to play roles in drilling and completion engineering.However,many challenges remain to be addressed,such as the automatic processing of multi-source and multi-scale data.Additionally,in intelligent drilling and completion,methods for the fusion of data-driven and physicsbased models,few-sample learning,uncertainty modeling,and the interpretability and transferability of intelligent algorithms are research frontiers.Based on intelligent application scenarios,this study comprehensively reviews the research status of intelligent drilling and completion and discusses key research areas in the future.This study aims to enhance the berthing of AI techniques in drilling and completion engineering.

Liver cell adenoma:A case report with clonal analysis and literature review

We report a case of liver cell adenoma （LCA） in a 33-year-old female patient with special respect to its clonality status, pathogenic factors and differential diagnosis. The case was examined by histopathology, immunohistochemistry and a clonality assay based on X-chromosomal inactivation mosaicism in female somatic tissues and polymorphism at androgen receptor focus. The clinicopathological features of the reported cases from China and other countries were compared. The lesion was spherical, sizing 2 cm in its maximal dimension. Histologically, it was composed of cells arranged in cords, most of which were two-cell-thick and separated by sinusoids. Focal fatty change and excessive glycogen storage were observed. The tumor cells were round or polygonal in shape, resembling the surrounding parenchymal cells. Mitosis was not found. No portal tract, central vein or ductule was found within the lesion. The tumor tissue showed a positive reaction for cytokeratin （CK） 18, but not for CK19, vimentin, estrogen and progesterone receptors. Monoclonality was demonstrated for the lesion, confirming the diagnosis of an LCA. Clonality analysis is helpful for its distinction from focal nodular hyperplasia.K

Immunotherapies application in active stage of systemic lupus erythematosus in pregnancy:A case report and review of literature

BACKGROUND Pregnancy in the setting of systemic lupus erythematosus can worsen thecondition from the stable to active stage, with quality of life and fertility desirebeing particular concerns. Pregnancy in the active stage of systemic lupuserythematosus (ASLE), although rare and complicated to manage, can be treatedfavorably with immunotherapies ifs used properly. Here we report such a successcase.CASE SUMMARY A 31-year-old primigravida patient, diagnosed with SLE seven years ago, wasinduced ASLE after a cold at 21 + weeks. The patient’s vital signs on presentationwere normal. Her laboratory exam was remarkable for significant proteinuria,liver and renal dysfunction, and low C3 and C4 levels. Infectious work-up wasnegative. The patient was diagnosed with ASLE. She was given immunosuppressiveagents (methylprednisolone, gamma globulin and azathioprine etc.)and plasma adsorption therapy, monitoring blood pressure every 8 h, fetal heartrate twice a day, and liver and renal function at least twice a week. Successfulmaternal and fetal outcomes are presented here.CONCLUSION Child-bearing in ASLE has become more promising, even for this difficult case ofASLE with multiple organ damage. Thorough antepartum counseling, cautiousmaternal-fetal monitoring, and multi-organ function monitoring bymultidisciplinary specialties are keys to favorable pregnancy outcomes.

Local scour at offshore windfarm monopile foundations: A review

In this article,current research findings of local scour at offshore windfarm monopile foundations are presented.The scour mechanisms and scour depth prediction formulas under different hydrodynamic conditions are summarized,including the current-only condition,wave-only condition,combined wave-current condition,and complex dynamic condition.Furthermore,this article analyzes the influencing factors on the basis of classical equations for predicting the equilibrium scour depth under specific conditions.The weakness of existing researches and future prospects are also discussed.It is suggested that future research shall focus on physical experiments under unsteady tidal currents or other complex loadings.The computational fluid dynamics-discrete element method and artificial intelligence technique are suggested being adopted to study the scour at offshore windfarm foundations.

Big Data Analytics in Healthcare——A Systematic Literature Review and Roadmap for Practical Implementation

The advent of healthcare information management systems(HIMSs)continues to produce large volumes of healthcare data for patient care and compliance and regulatory requirements at a global scale.Analysis of this big data allows for boundless potential outcomes for discovering knowledge.Big data analytics(BDA)in healthcare can,for instance,help determine causes of diseases,generate effective diagnoses,enhance Qo S guarantees by increasing efficiency of the healthcare delivery and effectiveness and viability of treatments,generate accurate predictions of readmissions,enhance clinical care,and pinpoint opportunities for cost savings.However,BDA implementations in any domain are generally complicated and resource-intensive with a high failure rate and no roadmap or success strategies to guide the practitioners.In this paper,we present a comprehensive roadmap to derive insights from BDA in the healthcare(patient care)domain,based on the results of a systematic literature review.We initially determine big data characteristics for healthcare and then review BDA applications to healthcare in academic research focusing particularly on No SQL databases.We also identify the limitations and challenges of these applications and justify the potential of No SQL databases to address these challenges and further enhance BDA healthcare research.We then propose and describe a state-of-the-art BDA architecture called Med-BDA for healthcare domain which solves all current BDA challenges and is based on the latest zeta big data paradigm.We also present success strategies to ensure the working of Med-BDA along with outlining the major benefits of BDA applications to healthcare.Finally,we compare our work with other related literature reviews across twelve hallmark features to justify the novelty and importance of our work.The aforementioned contributions of our work are collectively unique and clearly present a roadmap for clinical administrators,practitioners and professionals to successfully implement BDA initiatives in their organizations.