bluuebunny/crossref_metadata_2025_split huggingface dataset:
Secure Agile Software Development with Scrum Strategy
Authors: KASIM Ömer 
Published: April 2023

AbstractThe implementation of software development strategies while developing a software is important for a project's roadmap. In traditional methods, the project is defined before the start of the project, delivery times and costs are determined. After each of the project development stages is completed, another development stage is started. However, communication is important in software projects developed by agile methods and processes are more flexible. It is possible to make innovation or changes at any time of the project. Scrum is an important strategy used for agile software development. Scrum is an important strategy used for agile software development. When the Scrum strategy is examined, it can be seen that agility and safety principles do not overlap at some points. At this point, models that allow security activities to cooperate with agile methods and work within the framework of Scrum come to the fore. In this study, studies to eliminate this incompatibility based on scientific evidence were analyzed. In this analysis, results of the Bibliometric Network Analysis and Co-Occurrence Network Construction for software development of the Scrum model were revealed. These results show that security processes have a place in the Scrum field. The inclusion of security in the process during the software development phase will enable a more robust system design in response to future security vulnerabilities.
Pseudolocality and uniqueness of Ricci flow on almost Euclidean noncompact manifolds
Authors: Cheng Liang , Zhang Yongjia 
Published: April 2023

Abstract
In this paper, we prove a pseudolocality-type theorem for L-complete noncompact Ricci flow which may not have bounded sectional curvature; with the help of it we study the uniqueness of the Ricci flow on noncompact manifolds. In particular, we prove the strong uniqueness theorem for the L-complete Ricci flow on the Euclidean space. This partially answers a question proposed by B-L. Chen [5].
2020 Mathematics Subject Classification. Primary 53E20; Secondary 35K45.
Grading by fruit density: an effective way to control the drying characteristics and quality of mulberry
Authors: Wang Kunhua , Li Qingyuan , He Peiyun , Jia Xiaoran , Ren Wenxin , Wang Jun , Xu Huaide 
Published: April 2023

Abstract
Reducing waste and controlling fruit quality is a challenge for processors. In order to enhance the quality of the products, dried fruit manufacturers devoted to develop reliable methods for measuring ripeness. In this study, a densimetric flotation technique was adopted to separate mulberries into five distinct ripening stages (D1–D5, 0.905–1.055 g/cm3). The impact of ripening on mulberry water status, distribution, microstructure, drying characteristics, and product quality was investigated. As ripening progressed, water binding capability initially dropped and then increased, and water distribution and cell microstructure shifted, which led to a shortening of the drying time followed by an extension. Ripeness has a substantial impact on the volatile composition, colour, texture, and sensory quality of dried fruits. D1 fruits were not suitable for drying due to their intact cellular structure, long drying time, and poor product sensory quality. D4 and D5 fruits, on the other hand, had short drying times, and their products had a robust fruity aroma, better palatability, and overall acceptance. This made them ideal for the drying process. The findings in the present research have practical implications for identifying as well as drying effectively during mulberry ripening.
Comparative Study of Biochar and Charcoal and Their Application in the Construction Industry
Authors: Yadav Kundan , Sharma R. L. 
Published: April 2023

Abstract
The construction industry heavily relies on cement, which contributes significantly to greenhouse gas emissions during production and depletes natural resources. Moreover, the decomposition of organic waste is a significant source of emissions that contribute to environmental damage due to the lack of proper management. However, biochar and charcoal derived from organic waste can be utilized as admixtures in concrete to minimize these emissions. This study investigates the mechanical properties of concrete with partial cement replacement using biochar and charcoal separately. The aim is to determine the optimal percentages of cement replacement and the effectiveness of using these byproducts to manage organic waste and reduce emissions. The report compares the behavior and suitability of biochar and charcoal in concrete based on the mechanical strength of the resulting concrete. It suggests that both materials exert distinct effects on the properties of concrete, with the optimal replacement percentage variations. However, it is noteworthy that biochar outperforms charcoal in all mechanical aspects of concrete and significantly improves flexural strength. However, more research is needed to determine the effect of different biochar on flexural strength in concrete. Recent research has demonstrated that incorporating biochar and charcoal as cement admixtures holds significant promise in reducing greenhouse gas emissions and mitigating the negative environmental impact of organic waste in the construction industry.
A Systematic Literature Review on Contemporary and Future trends in Virtual Machine Scheduling Techniques in Cloud and Multi-Access Computing
Authors: Rana Nadim , Jeribi Fathe , Amin Sherif Tawfik , Khan Zeba , Uddin Mueen , Dhaou Imed Ben 
Published: April 2023

Abstract
Due to the extensive migration of business and scientific applications as well as the enormous growth in online data produced by IoT devices, numerous problems have arisen in cloud scheduling. Efficient delivery of resources considering user-defined Service Level Agreement (SLA) and Quality of Service (QoS) can only achieve with efficient and state-of-the-art scheduling methods. In this regard, virtual machine (VM) scheduling has been a highly required method for resource scheduling in the ever-changing cloud and multi-access computing environment (MAC). Based on an examination of recent literature, this investigation intends to provide a comprehensive Systematic Literature Review (SLR) of the methods employed for virtual machine scheduling in cloud computing. Besides, the SLR disseminates the challenges and opportunities in VM design and discusses future researchers' baselines. The SLR investigated the VM scheduling techniques and searched the most relevant research databases online. The authors selected sixty-seven (67) preliminary studies for this review out of 722 articles between 2008 and 2022. A total of 67 articles were reviewed for VM scheduling methods and techniques. The taxonomical results were divided into three major classes; conventional approach, heuristics approach, and meta-heuristic approach. With the observation, this review concludes that a lot of development in VM scheduling techniques in the literature are based on metaheuristics and heuristics methods. At last, many open issues, challenges, and development trends of modern VM scheduling techniques are discussed.
Exploring the symptoms and psychological experiences among lung cancer convalescence patients after radical lobectomy: a qualitative study
Authors: Xiao Julan , peng Yueming , Li Yun , Ye Fengqing , Zeng Zhixong , Lin Xiaoxu , Xie Yanheng , Cheng Sijiao , Wen Yi , Luo Weixiang 
Published: April 2023

Abstract
Background In the convalescence period of patients after radical lung cancer surgery, the influence of symptoms and psychological experiences among lung cancer convalescent patients after radical lobectomyhas received little research attention.
Purpose This study aims to explore the symptom experiences and psychological feelings of lung cancer patients after radical lobectomy in China.
Methods A qualitative study was conducted using face-to-face semistructured interviews with lung cancer patients who had a radical lobectomy for treatment of their cancer during the convalescence period. Participants (n=18) were recruited from a general hospital in China, and patients were selected using purposive sampling from September 2021 to February 2022. Interviews were recorded and transcribed verbatim, and Colaizzi’s seven-step method of phenomenology was used. The Consolidated Criteria for Reporting Qualitative Research (COREQ) checklist was conducted to report the study.
Results Four themes were extracted from the interview data: physiological dimensions (fatigue, cough or sputum, chest tightness and shortness of breath, daily activities affected, sleep disturbance, lack of appetite); psychological dimensions (negative emotion, fear of cancer recurrence, learning to accept reality, strengthened faith and hope); family dimensions (heavy economic burden, perceived family care, improved health management behavior); and social dimensions (perceived support of medical staff, decreased sense of social value and self-identity, changes in social and working style).
Conclusion Lung cancer patients are still troubled by many problems during the postoperative recovery period. Medical staff should design and implement effective evaluations and targeted interventions for patients’ physical and mental health as soon as possible to improve patients’ physical and mental health, as well as their quality of life.
SYT2/11/13/15 Are Potential Prognostic Biomarkers and Correlate to Immune Infiltration in Lung Adenocarcinoma
Authors: Wang Yu-Sheng , Zhou Chao , Zhang Zheng-Wei , Shi Xiao-Qian , Zhao Xue-Wei , Liu Yang , Li Bing , Yang Meng-Hang 
Published: April 2023

Abstract
Background Lung adenocarcinoma (LUAD) is one of the most prevalent and lethal malignancies worldwide. Synaptotagmins (SYTs) are a group of transmembrane proteins of which dysregulation has been reported in various cancers. Here, we analyzed the role of SYT2/11/13/15 in LUAD using bioinformatic methods.Methods In TCGA-LUAD cohort, we compared the expression level of SYTs in LUAD and normal tissue. To determine their biological functions, protein-protein interaction (PPI) network was constructed and GO/KEGG analysis were performed. GSEA were used to find the pathway changes. DNA methylation changes in SYT2/11/13/15 were investigated based on MethSurv. The impact on immune cell infiltration were revealed using TIMER database. The diagnostic power of SYT2/11/13/15 were studied using Kaplan-Meier plotter, diagnostic receiver operating characteristic (ROC) curves, nomogram model, and Cox regression analysis.Results In brief, we found that SYT2/13 were upregulated and SYT11/15 were down-regulated in LUAD, high expression of SYT2/11/15 predicted a favorable prognosis while SYT13 indicated a poor one. Functional analysis showed that SYTs mainly involved in neuroactive signal transduction. Several CpG islands of SYTs genes correlated to poor prognosis were identified. Cox regression analysis showed that SYT2/11/13/15 are independent risk factors for overall survival (OS) and disease-specific survival (DSS) of LUAD patients. SYT11/15 were closely related to immune infiltration in LUAD, SYT11 correlated to CD8 + T cell, dendrite cell (DC), macrophages. SYT15 correlated to CD4 + T cell, DC, and myoid derived suppressor cell (MDSC).Conclusion To sum up, we found that SYT2/11/13/15 were differentially expressed and were potential prognostic biomarkers, and may modulate immune infiltration in LUAD.
Anxiety, Knowledge, Misconceptions, Behavioral Intentions and Prevention Practices in COVID-19 First Year of Pandemic: Network or Psychometric Model?
Authors: Bastos Rafael Valdece Sousa , Ansah Edward Wilson , Sarfo Jacob Owusu , Marsura Amanda Costa , Aquino Sibele Dias , Melo Cynthia Freitas , Lins Samuel Lincoln Bezerra 
Published: April 2023

Abstract
The SARS-CoV-2 pandemic has spread rapidly worldwide, being life-changing and affecting anxiety, misconceptions, knowledge, and people's health behavioral intentions, which is related to COVID-19 prevention practices adherence. Thus, it is relevant to test whether related measures would have a factor or network model in different populations, and know its’ relations as complex systems. The goal of this research is to test whether the Fear and Health-Seeking Behavioral Intentions Scales follow a network or factor model in a Brazilian sample, in addition to an attempt to understand COVID-19 psychological impacts and its relations in a Brazilian sample during the first year of the pandemic. To do so, we used recent developments in the field of network and psychometrics, with a sample of 476 Brazilians collected during the first pandemic year. We found evidence for a network model using two approaches. In addition, we used the network model to see the relationship between those variables, and the findings are discussed. We highlighted the importance of COVID-19 knowledge, misinformation, and prevention practices adherence relation in the network structure.
Peripheral blood CD3+HLADR+ cells and associated gut microbiome species predict response and overall survival to immune checkpoint blockade
Authors: Gorgulho Joao , Roderburg Christoph , Beier Fabian , Bokemeyer Carsten , Brümmendorf Tim H. , Luedde Tom , Loosen Sven H. 
Published: April 2023

Abstract
Background The search for biomarkers to identify ideal candidates for immune checkpoint inhibitor (ICI) therapy is fundamental. In this study, we analyze peripheral blood CD3 + HLADR + cells (activated T-cells) as a novel biomarker for ICI therapy and how its association to certain gut microbiome species can indicate individual treatment outcomes.Methods Flow cytometry analysis of peripheral mononuclear blood cells (PBMCs) was performed on n = 70 patients undergoing ICI therapy for solid malignancies to quantify HLA-DR on circulating CD3 + cells. 16s-rRNA sequencing of stool samples was performed on n = 37 patients to assess relative abundance of gut microbiota.Results Patients with a higher frequency of CD3 + HLADR + cells before treatment initiation showed a significantly reduced tumor response and overall survival (OS) and experienced less toxicities to ICI therapy. As such, patients with a frequency of CD3 + HLADR + cells above an ideal cut-off value of 18.55% had a median OS of only 132 days compared to 569 days for patients below. Patients with increasing CD3 + HLADR + cell counts during therapy had a significantly improved OS. An immune signature score comprising CD3 + HLADR + cells and the neutrophil-lymphocyte ratio (NLR) was highly significant for predicting OS before and during therapy. When allied to the relative abundance of microbiota from the Burkholderiales order and the species Bacteroides vulgatus, two immune-microbial scores revealed a promising predictive and prognostic power.Conclusion We identify the frequencies and dynamics of CD3 + HLADR + cells as an easily accessible prognostic marker to predict outcome to ICIs, and how these could be associated with immune modulating microbiome species. Two unprecedented immune-microbial scores comprising CD3 + HLADR+, NLR and relative abundance of gut bacteria from the Burkhorderiales order or Bacteroides vulgatus species could accurately predict OS to immune checkpoint blockade.
Icariin Mediates Reactive Astrocytes after Spinal Cord Injury via YAP and TGF-beta Signaling.
Authors: zhou mengmeng , Ma Boyuan , Fu Xuanhao , Cheng Yuelin , Liu Linyan , Kan Shunli , Liu Chengjiang , Zhao Xinyan , Sa Feng , Jiang Zehua , Zhu Rusen 
Published: April 2023

Abstract
Icariin (ICA) is the main active component of the traditional Chinese medicine Epimedium, which has been confirmed to play a neuroprotective role in spinal cord injury (SCI) models. Astrocyte activation is a key link in “inflammatory storms” after SCI, and eventually form glial scar to inhibit neurological recovery. Studies have shown that icariin can effectively inhibit inflammatory response and promote the recovery of nerve function after SCI, but the specific mechanism is still unclear. This study applied network pharmacology and in vivo experimental verification to explore the molecular mechanism of ICA in the treatment of SCI. A total of 37 targets were screened out, mainly enriched in response to hypoxia, response to abiotic stimulus, regulation of cellular response to stress, and the TGF-beta signaling pathway etc. In the animal experiments, the Basso, Beattie and Bresnahan scores and Hematoxylin Eosin staining revealed that ICA could effectively improve the behavioral and histological recovery of SCI rats. Then ICA was confirmed to reduce astrocyte GFAP, Vimentin, and the expression of Ki-67 after SCI. Furthermore, ICA could inhibit the TGF-beta signaling pathway. ICA could also inhibit the expression of Yap protein. However, when Yap protein was activated, ICA inhibited the TGF-beta signaling pathway and reactive astrocyte activation was reversed. To sum up, the mechanism of ICA treatment for SCI may involve the inhibition of reactive astrocyte activation by inhibiting the expression of Yap protein and down-regulating the TGF-beta signaling pathway.
Performance Comparisons of Content-Based Video Search Engine Retrieval Using Different Similarity Algorithms
Authors: Adly Ahmad Sedky , Hegazy Islam , Elarif Taha , Abdelwahab M. S. 
Published: April 2023

Abstract
Content-based video search engines (CBVSE) are broadly needed in many mainstream video search engines retrieving videos from public video streaming services over the Internet such as YouTube. As they are mostly text-based search engines that index and retrieve videos depending on the surrounding text around the video web page that contains information representing this video file. This paper is an attempt to improve the performance of a previously developed technique for a content-based video search engine designed to firstly index videos on YouTube and search and retrieve videos using a non-semantic video query. Moreover, a large-scale dataset was indexed containing more than 1088 YouTube video records. Each record contains a feature vector of the temporal set, key-objects sets, and keyframes representing video shots in each video file in addition to the URLs and other information gathered from each video file web page.
“You Are What You Eat”: Stereotype – Based Judgments of Ethnics on the Cuisines Which People Consume in Indonesia
Authors: Suroyo  , Putra Bima Maulana 
Published: April 2023

AbstractThe increased risk of prejudice in ethnic stereotypes against individuals based on the cuisine Individuals consume in Indonesia. The stereotype-based judgment of ethnic could examine the character traits included in the racially prejudiced issues against the ethnicity and discrimination of ethnics in Indonesia. The research objective in this study related to stereotype-based judgment with the concept of ethnic identity, with focus of the research is in the form of individual stereotypes-based judgment against other individuals based on the food consumed. This study is qualitative method involving ten participants from various ethnic groups in Indonesia. Moreover, the research questions in this research how stereotypes can affect an individual's ethnic identity with bringing discrimination of ethnics and minorities in Indonesia. The results found that people give a judgments of ethnics which could related to discrimination of ethnics in Indonesia, such as Sumatran Ethnic groups, Javanese roots, and eastern ethnics group which is similar to Polynesian communities. Even thought, the discrimination and stereotype-based judgment of ethnics on various local cuisines, individuals more pretend to understand and predict the ethnics of people consuming certain food from local area which brings negative perception of its ethnics.
A New Equation for Estimating Low-density Lipoprotein Cholesterol Concentration Based on Machine Learning
Authors: Chen Lei , Chen Rong , Ma Peidu , Li Yangyi , Deng Xue , Hua Muxing 
Published: April 2023

Abstract

Background Low-density lipoprotein cholesterol (LDL-C) is a crucial marker of cardiovascular system damage. In the Chinese population, the estimation of LDL-C concentration by Friedewald, Martin-Hopkins or Sampson equations is not accurate. Objective: The aim of this study was to develop a group of new equations for calculating LDL-C concentration using machine learning techniques and to evaluate their efficacy. Methods: A total of 182,901 patient samples were collected with standard lipid panel measurements. These samples were collated and randomly divided into a training set and a test set. In the training set, a new equation was constructed using polynomial ridge-regression and compared to the Friedewald, Martin, or Sampson equations in the test set. Subsequently, an additional set of 17,285 patient samples were collected to evaluate the performance of the new equation in clinical practice. Results: The new equation, a ternary cubic equation, was accurate and easy to use, with a goodness-of-fit R2 of 0.9815 and an uncertainty MSE of 37.4250 on the testing set. The difference between the calculated value by the new equation and the measured value of LDL-C was small (0.0424 ± 5.1161 vs Friedewald equation: -13.3647 ± 17.9198, vs Martin equation: -6.2969 ± 8.1036, vs Sampson equation: -8.9252 ± 12.6522, P < 0.001). It could accurately calculate LDL-C concentration even at high TG and low LDL-C. Furthermore, the new equation could also precisely calculate LDL-C concentration in actual clinical use (R2 = 0.9780, MSE = 24.8482).Conclusion: The new equation developed in this study can accurately calculate LDL-C concentration within the full concentration range of TG and LDL-C, and can serve as a supplement to the direct determination of LDL-C concentration for the prevention, treatment, evaluation, and monitoring of atherosclerotic diseases, compared to the Friedewald, Martin, or Sampson equations.
Synthesis and Characterization of Graphene Oxide (GO) Obtained by Modified Hummer’s Method: Application to the Removal of Cadmium ions from Wastewater
Authors: Hanane Ziani , Mhamed Kaid , Dlamila Ikhou , Mourad Makhlouf , Villemin Didier 
Published: April 2023

Abstract
Through its outstanding mechanical, electrical, and chemical properties, graphene oxide has been regarded as a significant material since its discovery. This paper explains how to make graphene oxide (GO) using the Modified Hummer's method from pure graphite powder, which is the most prevalent approach. Multiple methods are been used to validate the physicochemical qualities and examine the morphological and structural aspects of the nano-composite sample, including Brunauer Emmett Teller, Fourier transform infrared spectroscopy, X-ray diffraction, and the scanning electron microscope (SEM). The objective of this study is to describe results from GO-based cadmium removal in aqueous solutions, followed by UV/VIS spectroscopy with xylenol orange indicator and a buffer solution pH=5, 8.
Various parameters (contact time , pH, amount of support, initial concentration, temperature, ionic strength, pHpzc) were investigated in detail and the maximum adsorption capacity of the metal ion adsorbed by graphene oxide is 125 mg.g-1 .The Langmuir adsorption isotherm (R2≈0, 93) is found to suit the data better than the Freundlich and Temkin isotherms. Additionally, the kinetics of sorption are investigated using pseudo-first-order, pseudo-second-order, and Elovich models; the pseudo second order has been found to be the most suited to reflect the kinetic model (R2≈0, 99), and the thermodynamic parameters (ΔG°, ΔH° and ΔS°) are examined. The adsorption process is spontaneous and exothermic in character, as well as physical. Desorption characteristics and reusability of the produced material, on the other hand, are put to the test in five adsorption-desorption cycles.