bluuebunny/crossref_metadata_2025_split huggingface dataset:
Highly Sensitive Photonic Crystal Fiber Biosensor Based on Surface Plasmon Resonance for Six Distinct Types of Cancer Detection
Authors: Chaity Ananna Chaki 
Published: October 2023

Abstract
An innovative photonic crystal fiber (PCF) biosensor using surface plasmon resonance (SPR) to diagnosis six distinct kinds of cancers (Skin cancer, Cervical cancer, Adrenal gland cancer, Blood cancer, Breast cancer type 1 and 2) in cells is demonstrated here, incorporates with two micro channels and a bimetallic configuration. The numerical analysis utilizes the finite element method (FEM) combined with perfectly matched layers (PML). The plasmonic material employed in the biosensor is gold (Au), and a supportive material, titanium dioxide (TiO2) is combined with Au. Through combining together these two materials, the sensor's performance is improved. The numerical calculations indicate that Breast Cancer Type 2 has the highest wavelength sensitivity 24285.71 nm/RIU, amplitude sensitivity 3959 RIU-1. Rest of the cancer cells wavelength sensitivities are 11000.00 nm/RIU (Skin Cancer), 13333.33 nm/RIU (Cervical Cancer), 15000.00 nm/RIU (Blood Cancer), 17142.85 nm/RIU (Adrenal-gland Cancer) and 21428.57 nm/RIU (Breast Cancer Type 1). This advanced biosensor has several uses in biological sensing and medical technology, and it has the potential to revolutionize cancer identification and medical diagnosis.
The impact of stress on work engagement and workplace creativity of hospital administrators: the mediating role of somatic symptoms and sleep disturbance
Authors: Hou Min , Chen Yanjun , Yao Na , Xiao Yinghong , Ju Yumeng , Liu Bangshan , Liao Mei , Liu Jin , Zhang Yan 
Published: October 2023

Abstract
Background
Occupational stress affects the mental and physical health of hospital employees. Yet, few studies depict the role of physical health issues in the relationship between stress and work engagement/workplace creativity in hospital administrators. Hospital administrators play a critical role in ensuring the smooth operation of hospitals, handling emergencies, and delivering healthcare services. The study investigates the mediating role of somatic symptoms and sleep disturbance on the relationship between stress and work engagement/workplace creativity in hospital administrators.
Methods
A survey examined the stress, somatic symptoms, sleep conditions, work engagement, and workplace creativity of hospital administrative and logistic personnel of Chinese Grade-A tertiary. A total of 481 valid responses were included. Data analyses used significance analysis, correlation analyses, mediation analyses, and chain mediation analyses.
Results
Stress is related to work engagement and creativity, and this relationship can be mediated by sleep disturbance and somatic symptoms, respectively. Further, there was a chain mediation model of stress → somatic symptoms →sleep disturbance→ work engagement, but not on workplace creativity. Women, the older population, those affiliated with the clinical departments, and those with senior positions experienced greater stress, sleep disturbance, and somatic symptoms.
Conclusion
The mechanism underlying the impact of stress on work engagement/workplace creativity of hospital administrators can be stress-induced somatic symptoms and sleep disturbance and thus should not be overlooked. Our findings provide a theoretical basis for the development of targeted interventions for the mental and physical health, as well as the occupational welfare, of hospital administrators during both emergencies and daily situations. A combination of psychological support and physiological intervention was encouraged.
A Proposed Cancelable Biometrical Recognition System (CBRS) Based on Developed Hénon Chaotic-Map
Authors: El-aziem Ayman H. Abd , Abdelhafeez Ahmed , soliman Tamer H. M. 
Published: October 2023

Abstract
Currently, authentication systems rely heavily on human biometrics. Cancellable biometric patterns are generated from the original templates to enhance the security level of biometric features in response to violent attacks. In this paper, a proposed method for a cancelable biometrical recognition system (CBRS) is introduced, which is based on the developed Hénon chaotic-map concept. The proposed CBRS design guarantees that the original biometric features are modified and encrypted before being stored in the database, ensuring their protection against malicious cyber-attacks. The suggested technique was tested using different facial biometrics datasets The correlation scores and the Receiver Operating Characteristic curve were calculated to evaluate the system's performance. The analysis results show that the suggested technique is highly effective robust and reliable, as evidenced by its excellent performance across various face databases.
The gut microbiome of healthy and moribund orange-spotted groupers reveals specialised metabolite profiles and potential beneficial species: A case study in Malaysian fish farm
Authors: Lau Cher Chien , Nor Siti Azizah Mohd , Noor Mohd Ezhar Mohd , Afiqah-Aleng Nor , Tan Min Pau , Ng Su Khi , Sung Yeong Yik , Wong Li Lian , Munir Mohammad Bodrul , Danish-Daniel Muhd 
Published: October 2023

Abstract
The gut microbiome of carnivorous fish evolves in tandem with the host to adaptively increase the host fitness in a dynamically-changing environment. In order to identify the beneficial strains in supporting the survival of orange-spotted grouper, Epinephelus coioides in a culture environment, the foregut, midgut and hindgut were analysed in three healthy and two moribund individuals. This study was conducted in the Merbok River, northwest Peninsular Malaysia which is exposed to some degree of pollution. The 16S amplicon sequencing targeting the V3-V4 highly variable region revealed similar community richness among samples but compositional and functional differences between the healthy and moribund fishes in the three gut regions. The findings showed a higher abundance of beneficial microflora, including Halomonas, Curvibacter and Bacillus residing in healthy foreguts, coupled with elevated activities of aromatic compound degradation. In the midguts, more than 70% of microbiota comprised of Photobacterium and Vibrio in most specimens. The higher abundance of Vibrio and Photobacterim in moribund fish hindguts may be correlated with increased chitinolytic activity and altered metabolic pathways. The outcomes of the study provide a fundamental understanding of the gut microbiota structure and suggest the potential use of Halomonas, Curvibacter and Bacillus in the orange-spotted grouper survival in a polluted environment.
Abnormal expression of B2M inhibits immune evasion of head and neck cancers through the PDL1 axis
Authors: Guan Xiaoya , Guo Huina , Han Qi , Li Zhongxun , Zhang Chunming 
Published: October 2023

Abstract
PURPOSE
Head and neck cancers exhibit immune dysregulation closely linked to immune escape, which may occur in response to immunosuppressive cells, immune checkpoints, antigen loss, and immune escape ligands. However, the specific mechanism of immune escape is not known yet. This study aimed to investigate the immune escape mechanism through molecular and genetic verification experiments.
PATIENTS AND METHODS
The head and neck cancer data were downloaded from the TCGA database. Similarly, head and neck tumor samples were collected from 40 patients and subjected to qPCR and immunohistochemical analysis to verify the roles of B2M, PDL1, CD8, and PRF1 in head and neck tumors.
RESULTS
The analysis of TCGA data revealed a correlation between B2M and HLA (R = 0.722, P < 0.5), whereas the correlation between B2M and CD8A, PDL1, and PRF1 was found to be R = 0.525, P < 0.5, R = 0.534, P < 0.5, and R = 577, P < 0.5, respectively. Similarly, the qPCR analysis revealed that B2M, CD8A, PDL1, and PRF1 expression levels were significantly higher in laryngeal squamous cell carcinoma (LSCC) tumors than in adjacent tissues. B2M was variably expressed in different clinical stages of LSCC, where an increased positive expression of B2M was observed at higher stages, while the CD8A, PDL1, and PRF1 expressions were relatively low. Analysis of survival curves of different LSCC clinical stages showed that the higher clinical stage was associated with shorter survival, which was associated with higher B2M expression. These results are suggestive of B2M affecting head and neck cancers.
CONCLUSION
Immune evasion of head and neck tumors may result from imbalanced MHCI complexes, which interact with CD8+ T cells and secrete PRF1, resulting in immune cell infiltration and tumor growth.
Identification of hvKP based on biomarkers and Galleria mellonella infection model
Authors: Mai Dongmei , Wu Anqi , Li Ran , Cai Donghao , Tan Junqing 
Published: October 2023

Abstract
Background The technique of clinical identification of hypervirulent Klebsiella pneumoniae (hvKP) was improved by in vivo and in vitro experiments. To provide clinical diagnostic tools for timely treatment of infections caused by hvKP. 588 strains of Klebsiella pneumoniae clinically isolated from a Grade-III Hospital of Traditional Chinese Medicine from June 2022 to February 2023 were collected, and the initially screened strains of hvKP was obtained according to the clinical data characteristics of patients. Two biomarker analysis experiments, polymerase chain reaction analysis of virulence gene and siderophores detection, were used to identify the initially screened strains of hvKP, and through the galleria mellonella infection model, the high virulence characteristics of hvKP were detected. Among them, the analysis of the susceptibility results of hvKP showed that two strains of carbapenem-resistant hypervirulent Klebsiella pneumoniae (CR-hvKP). and carbapenem-sensitive hypervirulent Klebsiella pneumoniae (CS-hvKP) were found, and their molecular characteristics were analyzed and compared.
Results According to the characteristics of clinical data, a total of 108 strains of hvKP were initially screened, and 94 strains of hvKP were identified from the 108 strains initially screened, and the highly virulent characteristics of hvKP were further verified by using the infection model of galleria mellonella. The drug susceptibility results showed that 58 strains of CR-hvKP and 36 strains of CS-hvKP were found, and the molecular characteristics of CR-hvKP were obtained by comparing the molecular diagnostic indexes.
Conclusion Through clinical data combined with molecular diagnostic index analysis, it can effectively identify hvKP, especially CR-hvKP, and provide scientific basis for accurate clinical identification and timely treatment of hvKP.
The Political Economy of Clientelism: When Inequality Favors the Elites
Authors: Izzulhaq Syahid , Kurnia Akhmad Syakir 
Published: October 2023

Abstract
This paper provides a novel foundation of inequality and political clientelism. First, we conduct an extensive-form game analysis to illustrate the nexus. Our paper demonstrates that with a high concentration of wealth, implying a lower income of people experiencing poverty, the elites can conduct political clientelism since it is enforceable and effective to capture sufficient de facto and collective-action power. We then conduct empirical investigations using two-stage least-squared estimations based on 104 democratic countries from 2002 to 2017 to test our theoretical conjecture. The empirical results suggest a strong correlation between clientelism and income inequality, confirming our anticipated pattern.
JEL Classification: P16, H23, D63.
A Lightweight Attention based MobileNetv2 Model for Brain Tumor Segmentation and Severity of Tumor Classification using Support Vector Machine
Authors: Pavithra D. , Nidhya R. , Vinothini C. , Murugaiyan Maranco 
Published: October 2023

Abstract
Brain tumors are lumps of aberrant tissue that can develop into cancer and have a significant negative influence on a person's health. MRI scans of the brain can reveal them. Segmentation and classification are two elements in these approaches that are extremely crucial. As opposed to anatomical organ segmentation, tumor segmentation is much more difficult due to the variety in size, location, and shape of tumors. For this reason, it is imperative to build reliable, precise, and effective deep learning-based methods. Recent deep learning techniques for classifying and segmenting brain tumors produced encouraging results. These approaches, however, have heavy-weight architectures by nature, necessitating more storage and costly training procedures because of the enormous number of training parameters they must be fed. It is crucial to investigate transportable deep learning models without compromising classification precision. In this research, we provide compact deep neural network models using the pre-trained Attentiveness MobileNetV2 models along with the attention module. The four phases of the proposed system are preliminary processing, division, extracting and categorizing features, and severity classification. Anisotropic diffusion processing as well as data enhancement methods are used initially. The tumor region is then segmented using the proposed modified dimensional U-Net (3D-M-U-Net). Finally, the extraction and classification of features are implemented using the Compact MobileNetV2 framework. Here, the high-level tumor-based information is initially recovered from the convolution features. The important semantic information is then captured using an attention module. Once high-level tumor-based data as well as fascinating semantic information have been combined in the convolutional and focused modules, fully linked layers as well as the layer of softmax are utilized to categorize tumours into either benign or dangerous. Finally, Support Vector Machine (SVM) is used to categorize tumors into moderate, severe, and mild phases. The suggested approach was tested on the high-quality brain cancer images available in the Brats-2020 as well as Brats-2019 datasets. In regards to precision, recall, accuracy, F-Score, Dice Similarities Coefficient (DSC), as well as Structural Similarity Indicator Matrix (SSIM), the suggested model outperforms existing traditional and hybrid models. It was also the most effective and productive method tested. The suggested model has a 99.9% accuracy, a 99.9% precision, and a 99.8% recall across both datasets.
WITHDRAWN: Advancing Environmental Monitoring: Unveiling Heavy Metal Contamination with Calibration-Free Picosecond Laser-Induced Breakdown Spectroscopy (CF-PS-LIBS)
Authors: Fayek Noura , Tawfik Walid , KhalafAllah Ahmed , Fikry Mohamed 
Published: October 2023

Abstract

Elevated concentrations of heavy metals in environmental matrices are linked to substantial toxicity hazards, impacting human health and ecosystem wellbeing. In this research, Calibration-Free Picosecond Laser-Induced Breakdown Spectroscopy (CF-PS-LIBS) is introduced for determining concentrations of Fe, Zn, Mn, Ni, Pb, and Cr in the roots and shoots of clover plants collected from villages in the Banha and Giza governorates of Egypt. CF-PS-LIBS spectra, generated by a 1064 nm Q-switched Nd: YAG laser with a pulse width of 170 ps and energy of 100 ± 5% J/cm², are analyzed to assess heavy metal content. The study leverages emission intensity and broadening associated with the Ca I characteristic lines at specified wavelengths to provide insights into plasma evolution. Linear variations in electron temperature (Te) and electron density (Ne) are observed in samples with heavy metal concentrations ranging from 0.11 to 0.17 mg/kg for Cr and 429.03 to 2259.51 mg/kg for Fe. Plasma Te escalates from approximately 6696.062 to 8957.761 K, while Ne increases from 0.914 × 10¹⁷ to 2.63 × 10¹⁷ cm⁻³. These Te and Ne fluctuations are distinctive markers for plasma characterization relative to specific heavy metal concentrations in clover samples. The application of CF-PS-LIBS is highlighted as a novel advancement in environmental monitoring, offering enhanced accuracy in spectrochemical analyses and contributing to developing effective remediation strategies for areas affected by heavy metal contamination.
Efficacy of Neoseiulus longispinosus (Evans) in Controlling Spider mite on Cucumber: Laboratory and Field Studies
Authors: K. ARUNSAIKUMAR , C. CHINNAMADE GOWDA , N. SRINIVASA , MULIMANI VIDYA 
Published: October 2023

Abstract

The cultivation of cucumber (Cucumis sativus L.) is of great economic importance in India and is widely used in various culinary applications. However, its production is threatened by the increasing incidence of spider mite infestation. In this context, the present study evaluated the effectiveness of the predatory mite, Neoseiulus longispinosus (Evans) (Acari: Phytoseiidae), as a biological control agent against the emerging cucumber pest spider mite, Tetranychus macfarlanei Baker & Pritchard (Acari: Tetranychidae). The study involved laboratory and outdoor trials with varied predator-prey ratios of 1:25, 1:50, 1:100, and 1:200. Laboratory trials revealed that complete elimination of prey mites was achieved at 10 and 12 days after predator release at ratios of 1:25 and 1:50, respectively. Recommending ratios of 1:25 and 1:200 to the farmer was deemed uneconomical due to the negative impact on the cost of management. Field trials were conducted with the two most effective predator-prey ratios, 1:50 and 1:100, and both ratios resulted in a more than 99% reduction in the prey mite population 20 days after predator release. The study concludes that N. longispinosus is an effective and sustainable biocontrol agent for spider mites on cucumber plants. Recommending predator-prey ratios of 1:50 or 1:100 to farmers can lead to significant reductions in pest populations without incurring excessively high management costs.
A systematic review of blunt abdominal aortic injury and analysis of predictors for death
Authors: Li Mingxuan , Wang Chaonan , Tu Haixia , Zhu Haitao , Guo Zhen , Guo Lianrui 
Published: October 2023

Abstract

At present, there are few studies on blunt abdominal aortic injury (BAAI), and most of them are case reports. Little is known about this disease. So, a systematic review was conducted through extensive search of major databases. All literature that provided individual (non-identifiable) data for BAAI patients could be included without being limited by study design. Additionally, regression analyses of predictors for death after BAAI were conducted. The search resulted in 2,099 hits, and 102 case reports and 1 conference abstract included in the review then. After assessment using the Joanna Briggs Institute checklist, no low-quality studies were found. A total of 133 patients were included, with a median age of 34 and 73.7% being males. Their most common clinical manifestation was pain (65.6%). The most common severity of aortic lesion was grade A (intimal tear or intramural hematoma, 46.9%), and the most common location of aortic lesion was zone III (infrarenal aorta, 88.3%). The overall mortality after BAAI was 15.3%. The following are the predictors for death after BAAI identified through multivariate regression analyses: lower limb ischemia [relative risk (RR), 7.137; 95% confidence interval (CI), 1.154–44.161], cardiopulmonary arrest (RR, 10.250; 95% CI, 1.452–72.344), and injuries to other parts (other than abdomen and lumbar spine) of body (RR, 2.593; 95% CI, 1.189–5.655). In conclusion, this study provides a detailed quantitative summary of the characteristics of the clinical manifestations, diagnosis, treatment, and prognosis of BAAI, a deadly traumatic disease, and indicates that the three variables above are risk factors for death.
Impact of simulation and reference catalogues on the evaluation of taxonomic profiling pipelines
Authors: Puller Vadim , Oñate Florian Plaza , Prifti Edi , de Lahondès Raynald 
Published: October 2023

Abstract
Microbiome profiling tools rely on reference catalogues, which significantly affect their performance. Comparing them is however challenging, mainly due to differences in their native catalogues. In this study, we present a novel standardized benchmarking framework that makes such comparisons more accurate. Specifically, we conducted three realistic simulations of gut microbiome samples, each based on a specific taxonomic profiler, and used two taxonomic references to project their results: the Genome Taxonomy Database and the Integrated Gene Catalogue. To demonstrate the importance of using such framework, we evaluated four established profilers along with a novel one, BiomScope. We evaluated the impact of these simulations and that of the common taxonomic references on the perceived performance of these profilers and provide guidelines.
Knowledge and Perceptions about Diagnosis, Clinical Management, and Prevention of Dengue Fever among Physicians during the 2023 outbreak: A Cross-Sectional Study in Peru
Authors: Araoz-Salinas Julieta M. , Ortiz-Saavedra Brando , Soriano Anderson N. , Reategui-Garcia Martín E. , Quispe-Vicuña Carlos , Murrieta-Ruiz Valentina , De-Los-Rios-Pinto Abraham , Benito-Vargas Raysa M. , Sangster-Carrasco Lucero , Morocho-Alburqueque Noelia , Ponce-Rosas Linda , Alave Jorge , Gonzales-Zamora Jose A. 
Published: October 2023

Abstract
Objective
To evaluate the knowledge level and perception of dengue fever regarding the diagnosis, management, and prevention of this disease among Peruvian physicians and to determine the factors associated with higher knowledge.
Methodology:
We conducted an analytical cross-sectional study based on an online survey from June 21, 2023, to July 20, 2023. Licensed physicians who live and practice Medicine in Peru were included. To evaluate the factors associated with a high level of knowledge (≥ 70% of correct answer), we used crude (cPR) and adjusted (aPR) prevalence ratios with 95% confidence intervals (95%CI) using a Poisson regression model.
Results
Overall, 359 participants (median age, 33 years; male, 56.5%) were included. 78.8% of participants achieved ≥ 70% of correct answers in the questionnaire. In the multivariable analysis, factors associated with high level of knowledge (≥ 70%) included having read the Peruvian clinical practice guidelines for dengue management (aPR: 1.29; 95% CI: 1.12 to 1.49), having experience in treating patients with dengue (aPR: 1.32; 95% CI: 1.03 to 1.68), and having treated cases of dengue frequently (aPR: 1.22; 95% CI: 1.02 to 1.46). Finally, physicians who held a clear opinion about whether the Peruvian Ministry of Health adequately trained healthcare personnel, whether in agreement (aPR: 1.23; 95% CI: 1.05 to 1.44) or disagreement (aPR: 1.20; 95% CI: 1.04 to 1.38), demonstrated higher knowledge about dengue compared to those who had a neutral opinion (neither agreed nor disagreed).
Conclusions
There was a high level of knowledge about dengue fever among Peruvian physicians; however, given the lower knowledge in the Eastern macroregion, educational campaigns would be necessary in this area to improve the identification and treatment of cases. Our study also showed that having clinical experience in the management of dengue is associated with higher knowledge.