bluuebunny/crossref_metadata_2025_split huggingface dataset:
Peramalan Pengunjung Website PT XYZ menggunakan Metode Arima
Authors: Rokhayati Yeni , Fadhila Luthfi Luluk 
Published: September 2024

<p><strong><span lang="EN-US">Abstrak </span></strong></p><p><span lang="EN-US"><span>Salah satu strategi pemasaran di PT. XYZ menggunakan optimasi website. Menganalisa kegiatan bisnis terutama pada strategi pemasaran suatu perusahaan perlu untuk mengevaluasi apa yang akan terjadi di masa depan. PT. XYZ sejauh ini belum melakukan analisa strategi pemasarannya via website ini, terutama bagaimana meramalkan pengunjungnya. Berdasarkan Web Analytics Association (WAA), terdapat 3 metrik penting dalam analisa website yaitu page view, unique visitors, dan visits. Untuk itu, penelitian ini melakukan analisa peramalan website PT XYZ untuk page view, unique visitors, dan visits menggunakan metode ARIMA. Hasil evaluasi dan peramalan diketahui bahwa analisa ini menghasilkan model ARIMA terbaik yang dapat digunakan untuk meramalkan 35 satuan periode ke depan</span></span></p><p><span lang="EN-US">=================================================</span></p><p><strong><span lang="EN-US">Abstract</span></strong></p><p><span lang="EN-US"><em>PT. XYZ uses website optimization in marketing. Analyzing business activities, especially a company's marketing strategy, is necessary to evaluate what will happen in the future. PT. XYZ has yet to study its marketing strategy via this website, significantly how to predict its visitors. Based on the Web Analytics Association (WAA), website analysis has three essential metrics: page views, unique visitors, and visits. For this reason, this study analyzes PT XYZ's website forecasting for page views, unique visitors, and visits using the ARIMA method. Evaluation and forecasting results show that this analysis produces the best ARIMA model that can be used to predict the following 35 unit periods.</em></span></p>
Enhancing Cybersecurity Against DDOS Attacks Evaluating Supervised Machine Learning Techniques
Authors: Janaki  , Karthikeyan  
Published: September 2024

An individual or group launches a cyber attack when they intentionally try to get into another person's or group's computer system. Typically, the goal of an attacker is to gain an advantage by interfering with the victim's network. Now that COVID-19 has wreaked havoc on businesses throughout the world, it's cybercriminals' ideal storm. When it comes to cyber threats, Distributed Denial-Of-Service attacks (DDoS) are the most common and dangerous for corporate networks, apps, and services. Distributed denial of service attacks aim to flood a server, service, or network with malicious traffic in an effort to interrupt regular traffic. Financial losses, decreased productivity, damaged brands, worse credit and insurance ratings, damaged relationships with suppliers and customers, and IT budget overruns are all possible outcomes. Developing Network Intrusion Detection Systems (NIDSs) that can reliably foretell DDoS attacks is an urgent issue. This study used the CICDDoS2019 dataset to assess supervised Machine Learning (ML) methods. The machine learning algorithms that were assessed include AdaBoost, Naïve Bayes, MLP-ANN, Random Forest, and SVM. We use the assessment metrics: Area Under the Curve (AUC), Accuracy, F-measure, Precision, and Recall. This study demonstrates that of the algorithms tested, AdaBoost shows the highest promise in detecting DDoS attacks
Image Classification on Small Datasets using Query Attention Module
Authors: Jiang Chunyu , Li Renwei , Zhang Hanxiang 
Published: September 2024

Abstract

Vision Transformers (VTs) are increasingly popular in computer vision due to their robust global modeling. However, they do not have the same learning advantages as Convolutional Neural Networks (CNNs), which can be trained effectively with less data. This paper proposes a plug-and-play module, query attention. Without altering the backbone structure, it can be integrated with existing VTs and CNNs. Furthermore, to reduce the training cost of the VT backbone, we integrate query attention with a downsized backbone to construct a shrunk structure. We selected three classical VTs, ViT, Swin, and T2T-ViT, and tested them on four small datasets(CIFAR10, CIFAR100, Tiny-ImageNet, CINIC10). The results show that query attention can improve model performance, especially with the shrunk structure, where we can maintain competitive performance while reducing computational and memory complexity. For example, on the Tiny-ImageNet, after adding query attention to ViT, the classification accuracy increases by 5.77%. Additionally, based on the shrunk structure of the ViT, we achieved a 20% reduction in parameters and a 32.76% reduction in computation cost, while improving classification accuracy by 4.26%.
An education-based intervention investigating the accuracy of community-based optometrists evaluating limbal anterior chamber depth
Authors: Jindal Anish , Agnew Tess , Siriwardena Dilani , Nikita Eleni , Nolan Winifred 
Published: September 2024

Abstract

Introduction
In the UK, referrals for suspected primary angle closure (PAC) by community-based optometrists (CBO) to the hospital eye service show moderate accuracy. This study aimed to assess the inter-observer agreement of limbal anterior chamber depth (LACD) between CBOs and ophthalmologists and evaluate the impact of an education intervention.
Methods
Using a 7-point LACD grading scale, consultant ophthalmologists graded an LACD image dataset developed from 100 patients attending Moorfields Eye Hospital. Two sets of 84 images were utilised for two LACD online assessments. CBO were recruited and undertook assessments before and after a PAC education package (EP) between August 2023 and January 2024.
Results
Fifty-two optometrists completed the initial LACD assessment with a median of 19.0 (IQR 9.3–24.8) years post-registration experience. Using the 7-point LACD grading scale, mean weighted kappa (Kw) for pre-EP was moderate, 0.42 (95%CI, 0.36–0.48), increasing to 0.47 (0.42–0.53) post-EP. Conversion to the 4-point grading scale, Kw was substantial, pre-EP 0.61, (0.56–0.66) and post-EP Kw 0.64 (0.58–0.69). An LACD threshold (< 25%) sensitivity and specificity pre-EP was 86.0% (79.9%-91.3%) and 84.6 (82.3–86.9), respectively. Post-EP sensitivity decreased to 78.2% (74.1%-85.1%) (p = 0.049) but specificity increased to 90.4 (88.1–92.8) (p < 0.001).
Conclusion
The 4-point LACD grading scale would be more practical for a case-finding setting. An accessible EP improved agreement and specificity using the joint Royal College of Ophthalmologists/College of Optometrists PAC referral threshold. This EP may reduce false positive PAC referrals and could be rapidly disseminated to CBO. Further research is needed to assess real-world PAC referrals after an education intervention.
Research on the Coupling Coordination and Obstacles Analysis of Cultural-Tourism Economy and Ecological Environment in the Middle Reach of the Yellow River Basin, China
Authors: Zhao Yang , Lu Yueying , Zhan Qinchuan 
Published: September 2024

Abstract

The seamless integration and harmonized advancement of eco-environmental conservation and the cultural tourism sector not only represent an indispensable trend and vital avenue for fostering regional sustainability, but also stand as a pivotal strategic imperative for shaping the distinctive allure of the area and fostering economic prosperity. This study conducted a thorough analysis of the development trajectory of subsystems within four provinces situated in the Middle Reaches of the Yellow River region spanning the years 2010 to 2019. This analysis was facilitated through the establishment of a comprehensive evaluation index system assessing the ecology-culture-tourism (ECT) system coupled coordination degree (CCD). By employing the CCD model, we scrutinized the CCD level across the middle reaches of the Yellow River region, while employing the barrier degree model to examine its driving factors. Findings revealed pronounced spatial disparities in the developmental status of subsystems across the four provinces within the Middle Reaches of the Yellow River region, underscored by an uneven developmental landscape. Nevertheless, the overarching CCD level of the ECT system within this region exhibited a consistent upward trajectory over time, transitioning gradually from a state of pronounced disunity to varying degrees of coordination. Within the ECT system, the cultural industry and ecological indices emerged as exerting a more conspicuous influence compared to other factors, while tourism infrastructure emerged as a primary impediment. Considering these findings, this paper forwards pertinent policy recommendations aimed at bolstering the CCD development level within the ECT system across the Middle Reaches of the Yellow River region. These recommendations aspire to foster mutual development, prosperity, and advancement among all stakeholders, furnishing robust backing for the realization of sustainable green development initiatives within the region and advocating for the adoption of resource-efficient, environmentally conscious developmental models.
ITGB2 and ICAM3 predict increased survival of sepsis with decreased intercellular communication in Cytotoxic CD8+ T- cells
Authors: Lei Min , Zhang Yaping , Yu Yijin , Wang Gaojian , Hu Nianqiang , Xie Junran 
Published: September 2024

Abstract

Sepsis is closely linked to immunity. Our research aimed to identify key genes associated with sepsis immunity utilizing single-cell RNA sequencing (scRNA-seq) data. This study obtained the GSE167363 and GSE54514 datasets from the Gene Expression Omnibus (GEO). The GSE167363 dataset was subjected to cluster analysis, cell proportion analysis, cell interaction analysis, and gene set enrichment analysis (GSEA). The differentially expressed genes (DEGs) of CD8 + T cells were correlated with the DEGs in the GSE54514 dataset, and key genes related to immunity in sepsis patients were identified through Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Finally, we validated the gene expression levels in a mouse model of sepsis caused by cecum ligation and puncture (CLP).Findings indicated that Intercellular communication of Cytotoxic CD8 + T cells was reduced in the sepsis survivors compared to non-survivors. The expression of 3 down-regulated key DEGs (ITGB2, SELL and ICAM3) was negatively correlated with the abundance of CD8 + T cells. Moreover, Cytotoxic CD8 + T cells with low expression of ITGB2, SELL and ICAM3 were more adverse to the survival of sepsis as compared to those with high expression of the above genes. These genes may predict increased survival in sepsis by regulating intercellular communication in cytotoxic CD8 + T cells, suggesting that they are potential therapeutic targets for improving sepsis prognosis.
Hexatungstate -supported functionalized graphene oxide efficient protocol for the synthesis of benzothiazoles
Authors: Boojani Sahar Zeinaly , Zarnegaryan Ali , Dehbanipour Zahra 
Published: September 2024

Abstract

A new amino-modified graphene oxide supported Lindqvist-type polyoxometalate([n-Bu4N]2[W6O19]) catalyst was prepared and identified by FT-IR, TGA, SEM, XRD, EDX, and Raman techniques. So, the new catalyst(W6O18@GO) performance of this recyclable catalyst was determined to promote the synthesis of benzothiazole derivatives at 60 °C under reaction conditions. heterogeneous catalyst of (W6O18@GO) is easily separated and successfully reused up at least 5 times with a slight loss of yield of the desired product.
Application of different MR sequence combinations in radiomics assessment of liver localized lesions
Authors: Wang Lianjin , Liang Wenbin , Wei Lihao , Cai Yufang 
Published: September 2024

Abstract

Objective To explore the possibility of using radiomics to differentiate hepatocellular carcinoma (HCC) from focal nodular hyperplasia(FNH).
Materials and methods The MRI images of 196 patients diagnosed in Zhangzhou Municipal Hospital Affiliated to Fujian Medical University from 2011 to 2021 were retrospectively analyzed. A variety of imaging sequences were used in the study, including T2WI, DWI and C sequence. Using these images, a variety of radiomics features were extracted and analyzed. Using these images, a variety of radiomics features were extracted and combined into T2WI/DWI combination, T2WI/C combination and DWI/C combination. The support vector machine (SVM) classifier was used to construct a radiomics model for differentiating HCC from FNH.
Results Radiomics models based on different MRI sequence combinations showed high accuracy in the diagnosis of HCC. Radiomics models based on different MRI sequence combinations showed high accuracy in the diagnosis of HCC and FNH. The model based on the combination of T2WI and magnetic resonance enhanced sequence (TC) had the best AUC value and the highest AUC value. The model based on the combination of T2WI and magnetic resonance enhanced sequence (TC) had the best AUC value and sensitivity. The model constructed by the combination of DWI and magnetic resonance enhanced sequence (DC) performed the best in terms of specificity and accuracy.
Conclusion The MRI sequence-based radiomics model provides a new auxiliary tool for the differential diagnosis of HCC and FNH, which is helpful to improve the accuracy of clinical imaging diagnosis and promote the individualized precise treatment of the disease.
Effect of K/Na on the alkali silica reaction of seawater and sea sand concrete
Authors: zhang qizhi , Gong Qingnan , Chen Rong , Wang Ming , Chen Ran , Weng Lincheng , Wang Dehui 
Published: September 2024

Abstract

In recent years, research into the properties of seawater and sea sand concrete (SWSSC) has emerged as a prominent area of investigation, and the alkali silica reaction (ASR) of SWSSC is an urgent issue to be solved. However, little attention has been paid to the effect of K/Na on the ASR of SWSSC. In order to fill this gap, the effects of different K/Na on ASR products, pore structure, pH and alkali ion content, and expansion of SWSSC were measured. The findings demonstrated that the composition of the amorphous product ASR-P1 (K0.52Ca1.16Si4O8(OH)2.84-1.5H2O) of SWSSC exhibited an inverse relationship with K/Na, whereas the crystalline product K-shlykovite (NaCaSi4O8(OH)3-2.3H2O) displayed a direct correlation with K/Na. The increase of K+ concentration leads to the decrease of silica dissolution, which is the main reason for the lowest ASR degree in the high K/Na group. The transformation of ASR-P1 to K-shlykovite also resulted in different main ASR products in different K/Na groups. The findings of this study provide a foundation for the theoretical application of SWSSC in the field of ocean engineering.
Quantifying Choroidal and Retinal Thicknesses Variations via Optical Coherence Tomography in Different Stages of Pediatric Keratoconus
Authors: mohammadi abbas , Masihpour Nasrin , Feghhi Mostafa , Bazaz Mahmoud Reza Panahi , Rad Afteh Mahdian , Kayedi Marzie 
Published: September 2024

Abstract

Purpose: Keratoconus (KCN) is characterized by corneal thinning and bulging, leading to vision impairment. Assessing choroidal thickness (CT) in pediatric KCN ( pKCN) patients can provide insights for better understanding and managing the disease. CT may serve as a potential indicator of disease activity in KCN patients. This study aims to evaluate CT in different stages of pKCN patients and compare the findings with an age-matched control group.
Methods and Patients: This cross-sectional study included patients under 18 years old who met specific criteria. CT was measured in all subjects using an optical coherence tomography device (Spectralis OCT, version 6.0, Heidelberg Engineering, Germany) with enhanced depth imaging mode, without pupil dilation. Mean CT and retinal thickness (RT) in pKCN was compared with healthy subjects and assessed among different disease grades using the ABCD grading method.
Results: The study included 125 eyes (66 patients) in the pKCN group and 22 control eyes (11 individuals). Grade 2 KCN showed the highest prevalence at 26.4% (N=33), while grades 3 and 1 had prevalence rates of 24% (N=30). CT in all specified areas (all P-values <0.001), as well as RT in the subfoveal area (P-value <0.001) and 1500 µm nasal to the fovea (P-value = 0.024), were significantly greater in the pKCN group compared to controls. Furthermore, CT and RT differed significantly among the pKCN grades (P-values <0.001).
Conclusion: CT was found to be elevated in pKCN patients, similar to adult KCN cases. CT could potentially serve as a clinical marker for disease activity in pKCN; however, further studies are needed.
Clustering of childhood acute leukemia in Finland: a nationwide register-based study
Authors: Ventelä Julia , Korja Mia , Auvinen Anssi , Lohi Olli , Nikkilä Atte 
Published: September 2024

Abstract

Purpose
Acute leukemia is the most common childhood malignancy, with suspected contributions from environmental factors and immune responses to common pathogens. A recent meta-analysis indicated possible spatiotemporal clustering, though the findings were hindered by data quality limitations. We investigated spatiotemporal clustering of childhood leukemia using advanced methods and complete residential histories.
Methods
We included patients aged 0–17 years diagnosed in 1990–2019, using data from the Finnish Cancer Registry. A 1:3 age- and sex-matched case-control design was employed and residential history data with exact coordinates was collected. Clustering was evaluated using the Cuzick-Edwards test, Knox test, Kulldorff's scan, and Jacquez's Q statistic.
Results
The dataset included 1,626 childhood leukemia cases (median age 5.0 years, 54% male). The Knox test revealed no evidence of clustering. However, the Cuzick-Edwards test revealed spatial clustering at diagnosis addresses for females (Observed/Expected [Obs/Exp] ratio 1.08, 95% CI 1.01–1.15) and for children under 1 year (Obs/Exp 1.35, 95% CI 1.15–1.57). Further analysis with Jacquez's Q using complete residential histories, identified significant spatiotemporal clustering in young children (ages 1.5–5.99 years) with acute lymphoblastic leukemia (ALL, p = 0.037). We also tested for co-incidence between leukemia and type 1 diabetes but found no clustering.
Conclusion
Overall, we found limited evidence for clustering. In the subgroup analyses, significant spatiotemporal clustering in acute lymphoblastic leukemia cases among children aged 1.5–5.99 years was observed, coinciding with the peak incidence in early childhood. Previous research has shown that this age group has distinct genetic characteristics and may possess a unique etiology.
Comparison of Neoadjuvant Chemoradiotherapy versus Chemoradiotherapy Plus Immunotherapy for Esophageal Squamous Cell Carcinoma in a Real-World Multicenter Cohort: A Propensity Score Matching Study
Authors: shi Shuming , Li Li , Zhou Hao , Xu Fuhao , Liu Ning , Zhang Dexian , Xu Xiaohui , Sun Yawen , Yuan Shuanghu 
Published: September 2024

Abstract

Background:Chemoradiotherapy combined with immunotherapy (NICRT) is a new neoadjuvant treatment approach that has raised concerns regarding potential challenges in surgery and postoperative complications. This study aimed to compare the efficacy and safety of neoadjuvant chemoradiotherapy (NCRT) and NICRT for the treatment of resectable locally advanced esophageal squamous cell carcinoma (ESCC).
Methods:We retrospectively analyzed 295 patients with locally advanced ESCC who underwent neoadjuvant therapy and esophagectomy at three centers between January 2019 and September 2023 and added the data from PALACE-1 for the analysis,Among these patients, 252 and 61 patients received NCRT and NICRT, respectively. Propensity score matching (PSM) was used to balance the potential bias.
Results:After the PSM,the rate of a pathological complete response (pCR) in the NCRT group was not significantly different from that in the NICRT group (42.96% vs 36.36%, P=0.400). There were no significant differences in the tumor regression grade(TRG) and positive lymph node pCR rates between the two groups (P=0.257and P=0.330, respectively). Postoperative complications were not significantly different between the NCRT group and the NICRT group (40.14% vs 47.27% P=0.363).
Conclusion:Compared with NCRT, NICRT did not lead to the bettertreatment efficacy. There were no significant differences was observed in the incidence of postoperative complications.
A comprehensive first-principles study exploring the structural, electronic, optical, transport, and photovoltaic properties of Rb2LiGa (Br/I)6 utilizing DFT and SCAPS-1D simulations
Authors: Sk Mukaddar , Islam M. T. , Bainsla Gourav 
Published: September 2024

Abstract

Lead-free double perovskite halides are attracting substantial attention in optoelectronics due to their outstanding electronic, optical, and transport properties. These materials are not only stable and easy to synthesize but also present a wide range of potential applications. In this study, we explore the intriguing properties of Rb2LiGa(Br/I)6, emphasizing their structural, electronic, optical, transport, and photovoltaic characteristics. Our simulation results show that Rb2LiGaBr6 and Rb2LiGaI6 possess band gaps of 1.19 eV and 1.13 eV, respectively, highlighting their potential for various applications. Both compounds show remarkable optical performance, with high absorption coefficients and optical conductivity, along with low reflectivity across the UV-visible spectrum, making them excellent candidates for solar cell technologies. Furthermore, Rb2LiGa(Br/I)6 exhibit exceptional thermoelectric performance, with high figure-of-merit (ZT) values ranging from 200K to 800K, emphasizing their potential as efficient thermoelectric materials. Therefore, this study will provide guidelines for constructing efficient solar cells based on double perovskites. Motivated by the higher absorption coefficient and optical conductivity of Rb₂LiGa(Br/I)₆, we have modeled an Au/Cu₂O/Rb₂LiGa(Br/I)₆/TiO₂/FTO solar cell. We have observed that Au/Cu₂O/Rb₂LiGaI₆/TiO₂/FTO has higher efficiency than Au/Cu₂O/Rb₂LiGaBr₆/TiO₂/FTO. Additionally, the efficiency of Au/Cu₂O/Rb₂LiGaI₆/TiO₂/FTO is higher than that reported previously. Thus, this study provides guidelines for constructing efficient solar cells based on double perovskites.