bluuebunny/crossref_metadata_2025_split huggingface dataset:
Antiparasitic effect of Nootkatone against Argulus japonicus infestation on Goldfish (Carassius auratus)
Authors: Pramanik Avijit , Kumar Saurav , Kumari Pushpa , Brahmchari Rajive Kumar , Deo Ashutosh D. , Dash Gadadhar , Raman R. P. 
Published: December 2023

Abstract
The present study aimed to evaluate the antiparasitic efficacy (AE) of Nootkatone, a component of grapefruit oil, against the Argulus parasite infecting goldfish under both in vitro and in vivo conditions. Under in vitro conditions, AE of Nootkatone at concentrations of 60, 70, and 80 ppm against Argulus was found to be 33.3, 50, and 100%, respectively, within 6h. An estimated median effective concentration (6 h EC50) of Nootkatone for Argulus was found 65.61 ppm. An acute toxicity test of Nootkatone on goldfish revealed that the median lethal concentrations (LC50) of 23.60 ppm at 12 h, 19.23 ppm at 48 h, 18.36 ppm at 72 h, and 17.57 ppm at 96 h. Further, under in vivo testing, Nootkatone at 18.4 ppm resulted in the complete detachment of Argulus from the goldfish within 9 h of bath treatment. Additionally, the detached Argulus, when left in the same treatment solutions, exhibited complete parasite mortality after an additional 3 hours of exposure. The therapeutic index (TI) calculated for Nootkatone at 12 h was 1.54, indicating a relatively safe dose for treating argulosis in goldfish. Thus, the present findings suggest that Nootkatone can be used as a promising antiparasitic agent against Argulus in the ornamental fish industry.
Beyond Mosquito Bites: A Systematic Literature Review on Malaria Prevention Behavior Intervention
Authors: Mohamad Emma , Genapathy Sivasangari , Damanhuri Hazwani , Azlan Arina Anis , Hamzah Mohammad Rezal , Pasi Hafizah , Isa Affendi , Sulong Mohd Rahim 
Published: December 2023

Abstract

Malaria is a significant health problem, particularly in tropical and subtropical regions, regardless of it being a preventable disease. Despite numerous measures taken by health-related agencies, malaria cases continue to increase globally. These interventions are intended to change the behaviors of individuals and communities to reduce the risk of malaria transmission, especially in the long run. However, studies that systematically review existing literature on behavioral intervention for malaria prevention are limited. Hence, this systematic review aims to highlight and synthesize studies implementing behavioral interventions to prevent malaria infection among at-risk communities. This study includes English articles from Scopus and Web of Science, between the years 2009 to 2022, conducted based on Preferred Reporting Items for Systematic Review and Meta-Analysis 2020 (PRISMA 2020). Out of the initial 67 articles identified through the screening process, four eligible studies of good to medium quality were selected for review. Three main themes were determined based on the deductive thematic analysis: i) tailor-made content, ii) community engagement and outreach, and iii) interpersonal communication. Based on an impact analysis on the four studies, this review concludes that behavioral interventions are an effective strategy to combat the prevalence of malaria worldwide. Hence, communities at risk of malaria would benefit from intervention programs that tap into behavioral change approaches inclusive of the three main themes identified in this review.
The optimal time and clinical implications of measurable residual disease detection in mantle cell lymphoma
Authors: Yi Shuhua , Yan Yuting , Huang Yanshan , Yu Ying , li yuxi , Lv Rui , Wang Tingyu , Xiong Wenjie , Wang Yi , Wang Qi , Liu Wei , An Gang , Sui Weiwei , Xu Yan , Huang Wenyang , Zou Dehui , Qiu Lugui 
Published: December 2023

Abstract
Recent advances in measurable residual disease (MRD) technology have significantly enhanced predictive accuracy for outcomes in various hematologic malignancies, serving as a crucial surrogate endpoint. However, in mantle cell lymphoma (MCL), identifying the optimal timing for MRD assessment and understanding the prognostic implications of MRD dynamics remain challenging, primarily due to limited extensive MRD data. Our study encompassed 102 patients with MCL, all presenting with clonal B-cell involvement in bone marrow as determined by multiparametric flow cytometry (MFC). MRD evaluations were conducted every two cycles. 75.5% (77/102) achieved MRD negativity during induction therapy. We found the MRD status at the end of four cycles treatment had the best predictive ability for survival (HR = 3.2, C-index = 0.664). 32 of 77 patients (41.6%) had a rapid tumor burden reduction and achieved MRD negativity within two cycles treatment. Notably, this swift shift to MRD negativity was observed more frequently in patients classified as MIPI high-risk. However, this rapid clearance of MRD did not confer any prognostic benefit to these patients. Subgroup analyses revealed that MRD negativity held prognostic value in almost all categories, except for those with blastoid/pleomorphic morphology. MRD assessment serves as a valuable complement to the traditional response evaluation, particularly benefiting for patients attaining partial remission. These findings highlighted the importance of MRD detection during response evaluation of MCL therapy and determined that after four treatment cycles is the best MRD detection timepoint.
A Hierarchical Security Events Correlation Model for Real-time Threat Detection and Response
Authors: Maosa Herbert , Ouazzane Karim , Ghanem Mohamed Chahine 
Published: December 2023

Abstract
Intrusion detection systems perform post-compromise detection of security breaches whenever preventive measures such as firewalls do not avert an attack. However, these systems raise a vast number of alerts that must be analysed and triaged by security analysts. This process is largely manual, tedious and time-consuming. Alert correlation is a technique that tries to reduce the number of intrusion alerts by aggregating those that are related in some way. However, the correlation is performed outside the IDS through third-party systems and tools, after the high volume of alerts has already been raised. These other third-party systems add to the complexity of security operations. In this paper, we build on the very researched area of correlation techniques by developing a novel hierarchical event correlation model that promises to reduce the number of alerts issued by an Intrusion Detection System. This is achieved by correlating the events before the IDS classifies them. The proposed model takes the best of features from similarity and graph-based correlation techniques to deliver an ensemble capability not possible by either approach separately. Further, we propose a correlation process for correlation of events rather than alerts as is the case in current art. We further develop our own correlation and clustering algorithm which is tailor-made to the correlation and clustering of network event data. The model is implemented as a proof of concept with experiments run on the DARPA’99 Intrusion detection set. The correlation achieved 87% data reduction through aggregation, producing nearly 21,000 clusters in about 30 seconds.
Anti-lung cancer compounds derived from marine sponges: in-silico, pharmacological and bibliometric analyses
Authors: Zare Afshin , Mussin Nadiar , Kaliyev Asset , Aringazina Raisa , Bakhshalizadeh Shabnam , Shirazi Reza , Tanideh Nader , Mahdipour Mahdi , Rahmanifar Farhad , Zhilisbayeva Kulyash , Tamadon Amin 
Published: December 2023

Abstract
Lung cancer remains a leading cause of cancer-related mortality, necessitating improved treatment strategies. Consequently, researchers have focused on the development of novel anti-lung cancer agents in recent decades. Marine sponges have garnered attention as promising sources of diverse anticancer components. In this study, we conducted a comprehensive bibliometric analysis to identify the most frequently studied compounds associated with the anticancer properties of marine sponges. Subsequently, molecular docking analysis was performed to identify compounds with high binding affinity to apoptotic receptors in lung cancer cells. Furthermore, we employed the PROTOX and Way2Drug online tools to predict the pharmacological features of the selected compounds as potential drugs. The bibliometric analysis revealed Alkaloids, Sesquiterpene, and Quinone as the most commonly studied keywords. Molecular docking and pharmacological analysis displayed that Dactyloquinone B-D, Dysidavarone D, Smenohaimien F, and Sollasin E exhibited the strongest binding tendency to apoptotic receptors in lung cancer cells and also, they have some remarkable pharmacological effects and potential side-effects as future anti-lung cancer drugs. Ultimately, the findings from this study could significantly contribute to the development of novel anti-lung cancer drugs.
Association between Arterial Oxygen and Mortality Across Critically Ill Patients with Hematologic Malignancies: Results from an International Collaborative Network
Authors: Dumas Guillaume , Morris Idunn S , Hensman Tamishta , Bagshaw Sean M , Demoule Alexandre , Ferreyro Bruno L , Kouatchet Achille , Lemiale Virginie , Mokart Djamel , Pène Frédéric , Mehta Sangeeta , Azoulay Elie , Munshi Laveena 
Published: December 2023

Abstract
Rationale:
Patients with hematological malignancies are at high risk for life-threatening complications. To date, little attention has been paid to the impact of hyperoxemia and excess oxygen use on mortality.
Objectives
To investigate the association between partial pressure of arterial oxygen (PaO2) and 28-day mortality in critically ill patients with hematologic malignancies.
Methods
Data from three international cohorts (Europe, Canada, Oceania) of patients who received respiratory support (noninvasive ventilation, high-flow nasal cannula, invasive mechanical ventilation) were obtained. We used mixed-effect Cox models to investigate the association between day one PaO2 or excess oxygen use (inspired fraction of oxygen ≥ 0.6 with PaO2 > 100 mmHg) on day-28 mortality.
Measurements and Main Results:
11,249 patients were included. On day one, 5716 patients (50.8%) had normoxemia (60 ≤ PaO2 ≤ 100 mmHg), 1454 (12.9%) hypoxemia (PaO2 < 60 mmHg), and 4079 patients (36.3%) hyperoxemia (PaO2 > 100 mmHg). Excess oxygen was used in 2,201 patients (20%). Crude day-28 mortality rate was 40.6%. There was a significant association between PaO2 and day-28 mortality with a U-shaped relationship (p < 0.001). Higher PaO2 levels (> 100 mmHg) were associated with day-28 mortality with a dose-effect relationship. Subgroup analyses showed an association between hyperoxemia and mortality in patients admitted with neurological disorders; however, the opposite relationship was seen across those admitted with sepsis and neutropenia. Excess oxygen use was also associated with subsequent day-28 mortality (aHR[95%CI]: 1.11[1.04–1.19]). This result persisted after propensity score analysis (matched HR associated with excess oxygen:1.31 [1.20–1.1.44]).
Conclusion
In critically-ill patients with hematological malignancies, exposure to hyperoxemia and excess oxygen use were associated with increased mortality. Heterogeneity of treatment effect was noted. This might be a modifiable factor to improve mortality.
Association between prognostic nutritional index (PNI) and depression: the NHANES 2005–2018
Authors: Li Jiahao , Chen Jianwen , Kang Jian , Gong Yunyao , Wei Chuanqi , Zhou Huiling , Dong Chunbo 
Published: December 2023

Abstract

Depression, impacting millions worldwide, necessitates the identification of predictive markers for risk assessment. The Prognostic Nutritional Index (PNI), an indicator of immune and nutritional status, is correlated with various diseases' prognoses. This study explores the correlation between PNI and depression in the National Health and Nutrition Examination Survey (NHANES) dataset spanning 2005 to 2018.Utilizing NHANES data, we included 32,739 participants after applying exclusion criteria. The PNI was calculated from serum albumin levels and lymphocyte counts. Depressive symptoms were assessed using the Patient Health Questionnaire-9. Logistic regression models estimated the odds ratios for depression across PNI levels, adjusted for various demographic and health variables. The mean age of participants was 47.78 years, with a prevalence of depressive symptoms observed in 7.82% of the sample. A nonlinear association between PNI levels and depression risk was observed, with lower PNI linked to higher depression odds. Subgroup analyses supported the consistency of the PNI-depression association across different cohorts. The relationship between lower PNI and increased depression risk suggests the potential of PNI as a tool for depression risk assessment. This study underscores the significance of PNI as a marker in understanding the relationship between nutritional status and depression, providing insights into preventive and therapeutic strategies in mental health care.
Mitigating non-radiative decay losses in the Purcell effect at sub-10 nm nanostructure proximities
Authors: Januar Mochamad , Liu Bei , Diau Eric , Misawa Hiroaki , Hsiao Hui-Hsin , Shih Min-Hsiung , Liu Kuo-Kang , Cheng Jui-Ching , Hatanaka Koji , Liu Kou-Chen 
Published: December 2023

Abstract
Maximizing the Purcell effect by minimizing the gap between an emitter and plasmonic nanostructures is essential for significantly increasing the spontaneous emission rate of quantum emitters. However, the enhancement of the emission quantum yield through this approach is often compromised by substantial non-radiative losses to the plasmonic nanostructures, especially when the emitter-nanostructure gap is below 10 nm. To overcome this limitation, our study presents two strategies for mitigating non-radiative losses: (1) employing plasmonic materials with high bulk plasma frequencies and low interband-transition absorption, such as aluminum (Al), thereby creating a 'valley of low loss' within the visible spectrum; and (2) examining the non-radiative decay rates in conjunction with the phase dispersion of the plasmonic dipolar modes, leading to a strategy for off-resonance spectral alignment at longer wavelengths. The 'valley of low loss' characteristic of Al results in reduced non-radiative losses in the visible-light spectrum, allowing for the tuning of the emitter's emission to coincide directly with the plasmon resonance, thus maximizing the quantum yield enhancement. Moreover, the second strategy elucidates the mechanism behind the reduced non-radiative rates in off-resonance coupling at longer wavelengths, which arises from more coherent and phase-aligned dipole field interactions between the emitter and the nanostructure. This approach is particularly advantageous for common plasmonic metals like gold, which experience pronounced non-radiative losses at resonant frequencies. By applying these strategies, we experimentally demonstrated a remarkable fourfold enhancement in the photoluminescence intensity of an F8BT-emitting material atop an Al nanodisk array.
Ultra-efficient Causal Learning for Dynamic CSA-AKI Detection Using Minimal Variables
Authors: He Kunlun , Dai Qionghai , Suo Jinli , Zhong Qin , Cheng Yuxiao , Li Zongren , Wang Dongjin , Rao Chongyou , Jiang Yi , Li Lianglong , Wang Ziqian , Liu Pan , Zhao Yawei , Li Pei 
Published: December 2023

Abstract
Cardiac surgery-associated Acute Kidney Injury (CSA-AKI) is a significant complication that often leads to increased morbidity and mortality. Effective CSA-AKI management relies on timely diagnosis and interventions. However, many cases of CSA-AKI are detected too late. Despite the efforts of novel biomarkers and data-driven predictive models, their limited discriminative and generalization capabilities along with stringent application requirements pose challenges for clinical use. Here we incorporate a causal deep learning approach that combines the universal approximation abilities of neural networks with causal discovery to develop REACT, a reliable and generalizable model to predict a patient’s risk of developing CSA-AKI within the next 48 hours. REACT was developed using 21.5 billion time-stamped medical records from two large hospitals covering 23,933 patients and validated in three independent centers covering 30,963 patients. By analyzing the causal relationships buried in the time dimensions, REACT distilled the complex temporal dynamics among variables into six minimal causal inputs and achieved an average AUROC of 0.93 (ranging from 0.89 to 0.96 among different CSA-AKI stages), surpassing state-of-the-art models that depend on more complex variables. This approach accurately predicted 97% of CSA-AKI events within 48 hours for all prediction windows, maintaining a ratio of two false alerts for every true alert, improving practical feasibility. Compared to guideline-recommended pathways, REACT detected CSA-AKI on average 16.35 hours earlier in external tests. In addition, we have established a publicly accessible website and performed prospective validation on 754 patients across two centers, achieving high accuracy. Our study holds substantial promise in enhancing early detection and preserving critical intervention windows for clinicians.
Comparative Analysis of Water Sustainability Indices: A Systematic Review
Authors: Jarzebski Marcin Pawel , Karthe Daniel , Chapagain Saroj Kumar , Pu Jian , Fukushi Kensuke 
Published: December 2023

Abstract
The achievement of water sustainability necessitates the development and application of comprehensive assessment tools to monitor and evaluate the impact of water resources management. This paper provides a comparative analysis of a wide range of water sustainability indices described in recent scientific literature, focusing on their underlying principles, methodologies, and potential applications. By systematic review of 124 publications, this study provides insights into existing composite indices related to water sustainability, highlighting their specific applications and potential contributions to water resource management and sustainability. The information gathered from the selected papers was synthesized and analysed thematically to identify common patterns through keyword co-occurrence mapping, SDG mapping, standard review protocol, and cluster analyses. This review also identified research gaps in the existing literature. The analysed indices represent a range of sectors and dimensions related to water resource management. This study found that indices serve as a tool for assessing and managing water resources sustainably, addressing diverse aspects of sustainability, and aiding decision-making in different sectors and contexts.
Hand-Foot Syndrome in Cancer Patients on Capecitabine: Examining Prevalence, Impacts, and Associated Risk Factors at a Cancer Centre in Malaysia
Authors: King Teck Long , Voon Pei Jye , Yuen Kah Hay , Noor Dzul Azri Mohamed 
Published: December 2023

Abstract

Introduction
Hand-foot syndrome (HFS) significantly impacts the quality of life in cancer patients undergoing capecitabine treatment. This study assessed capecitabine-associated HFS prevalence, its impacts on chemotherapy treatment, and identified risk factors in multiracial Malaysian patients.
Methods
We included adult cancer patients receiving capecitabine at Sarawak General Hospital for at least two cycles from April 1, 2021 to June 30, 2022. HFS rates, time to HFS, and proportions of HFS-related treatment modifications were determined. Characteristics between patients with and without HFS were compared and multivariable logistic regression was used to identify risk factors for all-grade HFS and grade ≥ 2.
Results
Among 369 patients, 185 (50.1%) developed HFS, with 14.6% experiencing grade ≥ 2. Notably, 21.6% of HFS cases underwent treatment modifications. Risk factors for all-grade HFS include older age (OR 1.04 95%CI 1.01, 1.06), prior chemotherapy (OR 2.12 95%CI 1.24, 3.61), higher capecitabine dose (OR 2.89 95%CI 1.69, 5.22), prolonged treatment (OR 1.34 95%CI 1.20, 1.49), and lower neutrophil count (OR 0.77 95%CI 0.66, 0.89). For HFS grade ≥ 2, older age (OR 1.04 95%CI 1.01, 1.08), female sex (OR 2.09 95%CI 1.05, 4.16), Chinese race (OR 2.07 95%CI 1.04, 4.10), and higher capecitabine dose (OR 2.61 95%CI 1.28, 5.32) are significant risk factors. Use of calcium channel blockers (OR 0.29, 95%CI 0.14, 0.59; OR 0.22 95%CI 0.66, 0.78) were associated with reduced risks of all-grade HFS and grade ≥ 2.
Conclusion
This study provides real-world data on capecitabine-induced HFS in Malaysian patients and identifies risk factors that may offer insights into its understanding and management.
Time-resolved Fluorescent Nanoparticle-based Dual Mode Lateral Flow Immunoassay for Sensitive Analysis of Chloroacetamide Herbicides with Broadened Detection Range
Authors: Zha Yonghong , Li Yansong , Zhou Jianhua , Park Ki Soo , Zhou Yu 
Published: December 2023

Abstract
Given the harmful effect of herbicide residues, it is essential to develop portable and accurate biosensor for the analysis of herbicides in the environment and agricultural products. In this paper, we demonstrated a dual mode lateral flow immunoassay (LFIA) for rapid and sensitive detection of chloroacetamide herbicides, which utilizes a horseradish peroxidase (HRP)-IgG conjugated time-resolved fluorescent nanoparticle (TRFNP) probe as both signal label and amplification tool. With the newly developed LFIA, the limits of detection (LODs) were 0.08 ng/mL of acetochlor (ATC), 0.29 ng/mL of metolachlor, 0.51 ng/mL of propisochlor, and 0.13 ng/mL of their mixture in fluorescent mode and 0.39 ng/mL of ATC, 0.75 ng/mL of metolachlor, propisochlor, and their mixture in colorimetric mode. Importantly, the practical applicability was successfully demonstrated by determining ATC in corn sample with good recovery rates (97.12–111.46%) that correlate well with commercial enzyme linked immunosorbent assay (ELISA) kit. The proposed LFIA acquires broadened detection range (0.20–200 ng/mL), reduced detection time (12 min), excellent sensitivity, portability, repeatability and reliability by implementing a dual mode strategy, indicating promising potential as a tool for pesticides detection.
Prediction of microvascular invasion based on CT in gastric cancer
Authors: Liu Pengpeng , Ding Ping’an , Guo Honghai , Yang Jiaxuan , Wu Haotian , Wu Jiaxiang , Yang Peigang , Zhao Qun 
Published: December 2023

Abstract
Background
Microvascular invasion (MVI) is an important step in cancer cell migration and invasion, and it is also a significant factor in predicting tumor recurrence and prognosis. Building a nomogram based on CT image features and clinicopathological data to predict preoperative MVI in gastric cancer (GC).
Methods
Retrospective study enrolled 358 patients with surgically proven GC. Univariate and multivariate logistic regression analyses were performed to identify the predictors for the model and establish a nomogram for MVI. The performance of the model was evaluated using ROC, accuracy, and C index. Internal validation of the model was conducted using the bootstrap resampling method. Difference in the area under the curve (AUC) between the two models was evaluated using the Delong test. Random forest algorithm is used to extract important risk factors for MVI.
Results
Mural stratification, Lauren classification and Albumin (Alb) were found to be independent influencing factors for MVI. The nomogram model incorporating these three factors showed significantly better performance compared to the original model that did not include CT parameters (P < 0.05). The AUC of the model was 0.779 (95% CI 0.774–0.868), and the average AUC of the bootstrap sample was 0.813. The sensitivity, specificity, and accuracy of the model were 65.6%, 86.0%, and 70.7%, respectively.
Conclusion
The nomogram based on CT image features and clinicopathological data demonstrated good predictive value for MVI in GC. This nomogram can provide valuable baseline information for individualized treatment of GC.