bluuebunny/crossref_metadata_2025_split huggingface dataset:
Statistical Evaluation for the formulation of low-cost Single cell protein production in Food waste medium by Pichia occidentalis: A sustainable valorization approach
Authors: Sagar Priya Rajkumar 
Published: September 2023

Abstract
Purpose
The purpose of this research is to determine the optimal combination of media components and concentrations for improving single cell protein production using statistical methodologies, while also taking into consideration the economic feasibility of employing food waste as a media formulation. Further study includes the use of an artificial intelligence tool called Support Vector Machine (SVM) in the R programming language to analyze the data generated during the experimentation process, assisting in understanding the relationship between different variables and their effect on SCP production.
Method
SCP producing microorganisms were isolated from food scrap waste. The highest amount of SCP production with a greater microbial conversion efficiency was determined using ITS gene sequencing. This study focuses on optimizing the components of the food waste medium for SCP production using statistical technique to identify the primary factors affecting media ingredients and their optimum concentrations. The One-factor-at-a-time (OFAT) approach followed by statistical optimization was used for maximizing the components of food waste medium. The model was then evaluated using an AI-driven SVM and compared to a conventional RSM for improved SCP production.
Result
The results showed that Pichia occidentalis (NCBI Accession No: OP605590) was the most efficient at generating SCP, with a microbiological conversion efficiency of 97.27%. The production effectively rose after statistical optimization (25.75 g/L from 1.58 g/L). The selected strain's microbial conversion efficiency with the selected salad peel waste was found to be 94.04%. Following that, model validation using SVM against RSM revealed that SVM (R2 = 0.9972) performed better in data modeling than RSM (R2 = 0.8881).
Conclusion
The finding assists in the advancement of a waste-to-protein valorization technique driven by yeast for forthcoming feed and food sources. The produced SCP can be utilized as a high-quality feed supplement for livestock and aquaculture, enhancing nutrient intake and promoting healthy growth while also contributing to food security and decreasing reliance on traditional protein sources.
On the Reduction of Mixed Gaussian and Impulsive Noise in Heavily Corrupted Color Images
Authors: Smolka Bogdan , Kusnik Damian , Radlak Krystian 
Published: September 2023

Abstract
In this paper, a novel approach to the mixed Gaussian and impulsive noise reduction in color images is proposed. The described denoising framework is based on the Non-Local Means (NLM) technique, which proved to efficiently suppress only the Gaussian noise. To circumvent the incapacity of the NLM filter to cope with impulsive distortions, a robust similarity measure between image patches, which is insensitive to the impact of impulsive corruption, was elaborated. To increase the effectiveness of the proposed approach, the blockwise NLM implementation was applied. However, instead of generating a stack of output images that are finally averaged, an aggregation strategy combining all weights assigned to pixels from the processing block was developed and proved to be more efficient. Based on the results of comparisons with the existing denoising schemes, it can be concluded that the novel filter yields satisfactory results when suppressing high-intensity mixed noise in color images. Using the proposed filter the image edges are well preserved and the details are retained while impulsive noise is efficiently removed. Additionally, the computational burden is not significantly increased, compared with the classic NLM, which makes the proposed modification applicative for practical image denoising tasks.
Auditory and Vestibular Rehabilitation In Corpus Callosum Agenesis: A Case Report and Literature Review
Authors: Daban Zeynep , EROL Ozan , ÖZER Ayşe 
Published: September 2023

Abstract
Background
Corpus callosum agenesis occurs when the commissural fibers between the two hemispheres cannot complete their development for various reasons. Axons from cortical areas sensitive to auditory and auditory input are transmitted from the midline through the corpus callosum. It has been shown that congenital aplasia of the corpus callosum or damage at an early age leads to disorders in the understanding of stimuli that require dichotic listening and auditory interhemispheric transmission, auditory pattern perception of sound, auditory figure, ground perception, and localization of sound. In the studies on sound lateralization, it has been revealed that compensation may be possible in cases of agenesis with corpus callosum neural plasticity and compensation mechanism. This study aims to evaluate rehabilitation, especially the auditory therapy process, and to be a reference for further studies in these cases.
Case presentation:
After the diagnosis of the corpus callosum, the patient, whose detailed examinations were made, was referred to the rehabilitation center by an external center. The 1,5-year-old patient received psychomotor, occupational therapy, and auditory therapy for 14 months during the rehabilitation process, which was applied immediately after the diagnosis process.
Conclusions
Although auditory rehabilitation is an uncommon approach in corpus callosum agenesis, the fact that the case in question has progressed in all developmental areas shows that the therapy approach is correct. This study revealed the necessity of early auditory rehabilitation in corpus callosum agenesis and laid the groundwork for future studies.
The canonical HPA axis facilitates and maintains light adaptive behavior
Authors: Lee Han , Shams Soaleha , Thi Viet Ha Dang , Boyum Grace , Modhurima Rodsy , Hall Emma , Green Izzabella , Cervantes Elizabeth , Miguez Fernando , Clark Karl 
Published: September 2023

Abstract
The vertebrate stress response (SR) is mediated by the hypothalamic-pituitary-adrenal (HPA) axis and contributes to generating context appropriate physiological and behavioral changes. Although the HPA axis plays vital roles both in stressful and basal conditions, research has focused on the response under stress. To understand broader roles of the HPA axis in a changing environment, we characterized an adaptive behavior of larval zebrafish during ambient illumination changes. The glucocorticoid receptor (nr3c1) was necessary to maintain basal locomotor activity in light and darkness. The HPA axis was required to adapt to light more efficiently but became dispensable when longer illumination was provided. Light adaptation was more efficient in dimmer light and did not require the mineralocorticoid receptor (nr3c2). Our findings show that the HPA axis contributes to the SR at various stages, facilitating the phasic response and maintaining an adapted basal state, and that certain adaptations occur without HPA axis activity.
Effectiveness of D-dimer in predicting distant metastasis in colorectal cancer
Authors: Chen yazhuo , Wang Xuan , zhang xin 
Published: September 2023

Abstract
Purpose
Patients with cancer often present with a hypercoagulable state, which is closely associated with tumor progression. The purpose of this study was to assess the diagnostic efficacy of D-dimer in predicting distant metastasis in colorectal cancer (CRC).
Methods
This study included 529 patients diagnosed with CRC at our hospital between January 2020 and December 2022. Plasma coagulation indicators and tumor markers were collected prior to treatment and their diagnostic efficacy for predicting CRC metastasis was assessed by receiver operating characteristic (ROC) curves. Independent risk factors for evaluating tumor metastasis were obtained by multivariate logistic regression analysis.
Results
The level of D-dimer in the metastatic group was significantly higher than that in the non-metastatic group (P < 0.001). The results of the multiple logistic regression analysis indicated that lower level of prealbumin and platelet, and higher level of glucose, CEA and D-dimer were independent risk factors for distant metastasis in patients with CRC (P < 0.05, respectively). The combination of prealbumin, glucose, D-dimer, platelet and tumor markers (PRE2) was found to be significantly more effective in predicting metastasis of CRC when compared to the combination of tumor marker alone (PRE1, P < 0.001).
Conclusion
Plasma D-dimer may be a novel tumor marker for screening metastases of CRC.
Memory Enhancing and Neuroprotective Effects of Apomorphine in a Rat Model of Dementia
Authors: Ikram Huma , Zakir Rumaisa , Haleem Darakhshan Jabeen 
Published: September 2023

Abstract

Oxidative stress from generation of increased reactive oxygen species or has been reported to play an important role in dementia. Oxidative stress due to free radicals of oxygen or reactive oxygen species could be precipitating factors in the etiology of dementia. Apomorphine has been reported to have neuroprotective effects. To monitor memory enhancing and neuroprotective effects of apomorphine, we determined the antioxidant enzymes activities, lipid peroxidation, acetylcholine esterase (AChE) activity in brain and plasma, following repetitive administration of apomorphine in rat model of dementia. Biogenic amine levels were also monitored in hippocampus. Repeated administration of scopolamine was taken as an animal model of dementia. Decreased glutathione peroxidase, superoxide dismutase and catalase activities were observed in these animal models of dementia. While increased lipid peroxidation was also observed in the brain and plasma samples. The results showed significant effects of apomorphine. The activities of antioxidant enzymes displayed increased activities in both brain and plasma. Glutathione peroxidase and catalase activities were found to be significantly higher in brain and plasma of apomorphine treated rats. Superoxide dismutase (SOD) was significantly decreased in plasma of saline injected rats; and a decreased tendency (non-significant) of SOD in brain was also observed. AChE activity in brain and plasma was significantly decreased in scopolamine treated rats. Learning and memory of rats in the present study was assessed by Morris Water Maze (MWM). Short-term memory and long-term memory was impaired significantly in scopolamine treated rats, which was prevented by apomorphine. Moreover, a marked decrease in biogenic amines was also found in the brain of scopolamine treated rats and was reverted in scopolamine treated rats. Results showed that scopolamine-treatment induced memory impairment and induced oxidative stress in rats as compared to saline-treated controls. These impairments were significantly restored by apomorphine administration. In conclusion, our data suggests that apomorphine at the dose of 1mg/kg could be a potential therapeutic agent to treat dementia and related disorders.
MTMR14 as a novel prognostic predictor and potential immunotherapy target in uveal melanoma
Authors: Su Yihua , Yu Fenfen , Wang Congyao , Wan Pengxia 
Published: September 2023

Abstract
Background: Uveal melanoma (UM) is the most prevalent primary aggressive intraocular tumor, often exhibiting low immunogenicity. Therefore, identifying novel immune-related therapeutic targets for UM are crucial.
Methods: The public bioinformatics database was used to comprehensively examine the link between MTMR14 expression, immune checkpoint blockade molecules, and the clinical data of patients with UM. Moreover, the potential predictive value of MTMR14 during immune checkpoint inhibitor therapy was investigated. Using gene expression databases, we examined the expression of MTMR14, as well as its genetic alterations, functional networks, and cancer immune infiltrates.
Results: The expression of MTMR14 gradually declined as UM tumors progressed, and low MTMR14 expression was linked to poor overall survival (OS) and disease-free survival (DFS). Secondly, functional network analysis indicated a role for MTMR14 in regulating endoplasmic reticulum localization as well as kinase protein receptor activity in patients with UM. Notably, MTMR14 exhibited a close positive link toimmune-stimulatory molecules and a significant negative correlation with immune-suppressive molecules in patients with UM.
Conclusions: These findings suggested that MTMR14 is useful in predicting the therapeutic effect of immune checkpoint inhibitor therapy due to its close correlation with immune cell infiltration as well as immune checkpoint molecule expression, thereby providing a solid framework for future investigation into the immunomodulatory function of MTMR14 in UM.
Central auditory test performance predicts future neurocognitive function in children living with and without HIV
Authors: Joseph J. , Niemczak C. , Lichtenstein J. , Kobrina A , Magohe A , Leigh S , Ealer C , Fellows A , Reike C , Massawe E , J Gui , Buckey JC 
Published: September 2023

Abstract
Tests of the brain’s ability to process sound (central auditory tests) correlate with overall measure of neurocognitive performance. In the developing world where resources to do detailed cognitive testing is limited, objective tests that use the central auditory system may provide a novel and useful way to track neurocognitive performance. This could be particularly useful for children with HIV. To assess this, we examined whether central auditory tests given early in a child’s life could predict tests of later neurocognitive performance. We used a machine learning technique to incorporate other factors known to affect performance on neurocognitive tests, such as education. The results show that central auditory tests are useful predictors of neurocognitive performance and perform as well or in some cases better than factors such as education. Central auditory tests may offer an objective way to track neurocognitive performance in children living with HIV.
Orchestrating the climate choir The boundaries of scientists’ expertise, the relevance of experiential knowledge and quality assurance in the public climate debate
Authors: Nicolaisen Peter Busch 
Published: September 2023

Abstract
Scientific knowledge is at the heart of discussions about climate change. However, it has been proposed that the apparent predominance of climate science in the societal debate should be reconsidered and that a more inclusive approach is warranted. Further, the introduction of new communication technology has made the information environment more fragmented, possibly endangering the quality of societal deliberation on climate-related issues. Using focus group methodology, this paper explores how climate scientists, climate journalists, and citizens perceive scientific experts’ mandate when they communicate publicly, the role of experiential knowledge in discussions of climate-related issues, and who they prefer to guard the quality of the climate information exchanged in the public sphere. The findings show that scientific experts are perceived to carry a high degree of legitimacy, but only within their own narrow specialty, while experiential knowledge was seen as more useful in applied domains of science than in arcane research fields. In the new media landscape, journalists are still generally preferred as gatekeepers by all three actor types.
Real-Time Outage Management in Active Distribution Networks Using Reinforcement Learning over Graphs
Authors: Zhang Jie , Jacob Roshni , Paul Steve , Chowdhury Souma , Gel Yulia 
Published: September 2023

Abstract

Self-healing "smart grids" are characterized by fast-acting, intelligent control mechanisms that minimize power disruptions during outages. The corrective actions adopted during outages in power distribution networks include reconfiguration through switching control and emergency load shedding. The conventional decision-making models for outage mitigation are, however, not suitable for "smart grids" due to their slow response and computational inefficiency. Here, we present a new reinforcement learning (RL) model for outage management in the distribution network to enhance its resilience. The distinctive characteristic of our approach is that it explicitly accounts for the underlying network topology and its variations with switching control, while also capturing the complex interdependencies between state variables (along nodes and edges) by modeling the task as a graph learning problem. Our model learns the optimal control policy for power restoration using a Capsule-based graph neural network. We validate our model on two test networks, namely the 13 and 34-bus modified IEEE networks where it is shown to achieve near-optimal, real-time performance with up to 5 orders of magnitude improvement in computational speed. The resilience improvement of our model in terms of loss of energy is 4.204 MWs and 13.522 MWs for 13 and 34 buses, respectively. Our model also demonstrates generalizability across a broad range of outage scenarios.
Breathe with Caution: Exploring the Adverse Effect of Fine Particulate Matter (PM2.5) on Wildland Firefighters' Pulmonary Function and DNA Damage
Authors: Assavanopakun Pheerasak , Panumasvivat Jinjuta , Supbamrer Ratana , Sittitoon Nalin , Khacha-ananda Supakit , Kiratipaisarl Wuttipat , Sirikul Wachiranun , Insian Wittawat 
Published: September 2023

Abstract

Chiang Mai experiences severe pollution during wildfire season, and wildland firefighters are exposed to the hazards, particularly during fire suppression, including particulate matter. The adverse effects of wildfire smoke on respiratory health are a significant concern. This study aimed to investigate the potential adverse effects of PM2.5 exposure on the respiratory function and DNA damage of wildland firefighters. From January to May 2022 in Chiang Mai, this prospective cohort study assessed the health of wildland firefighters throughout pre-peak, peak, and post-peak ambient air pollution seasons. PM2.5 was measured at each forest fire station and from the Pollution Control Department data. Participants had general health exams, spirometry, and DNA damage analysis blood tests. Pair t-tests and multiple regression models were used to examine the connection between pulmonary function parameters (FVC, FEV1) and PM 2.5 concentration, with a significance level of P < 0.05. Thirty-three peak-season and twenty-one post-peak-season participants were enrolled. Four pre-peak-season wildland firefighters had FVC and FEV1 declines of > 15%. Multiple regression analysis showed a negative association between PM2.5 exposure and FVC% predicted (-2.81%, 95% CI: -5.27 to -0.34%, p = 0.027) and a marginally significant negative correlation with FVC (-114.38 ml, 95% CI: -230.36 to 1.59 ml, p = 0.053). Other pulmonary measures showed a non-significant downward trend. No significant changes in DNA damage were observed. Wildland firefighters experienced significant declines in pulmonary function associated with PM2.5 exposure. Spirometry is essential for surveillance and early detection of these respiratory issues during wildfire seasons.
Climate warming creates an unequal burden on global cattle meat yields
Authors: Liu Weihang , Zhou Junxiong , Ma Yuchi , Chen Shuo , Luo Yuchuan 
Published: September 2023

Abstract
Climate warming is one of the major threats to global livestock production. However, the impact of climate warming on livestock meat yield at global scale is rarely investigated. In this study, we present a statistical evidence from country-level cattle meat yield that the response of global cattle meat yield to climate warming is invert-U quadratic nonlinear, which is more obvious in the grassland-based livestock system. Moreover, the nonlinear response determines that climate warming creates unequal burden between high- and low- income countries due to the divergent baseline temperature condition. Future climate warming aggravates these unequal burdens, with the most pronounced effects observed under SSP585. Our results highlight the need for focusing on the global food security under climate change from livestock meat production.
Single-Cell RNA Sequencing and Microarray Analysis Unveiling the Role of Glucose Metabolism-Related Genes and Cellular Immune Infiltration in Preeclampsia: Identification of Novel Biomarkers
Authors: Liu Yujie , Han Zhe , Fan Cuifang 
Published: September 2023

Abstract
Preeclampsia (PE), a hypertensive disorder during pregnancy, is implicated in various complications such as fetal growth restriction and renal damage. Its pathogenesis is attributed to multiple factors including impaired trophoblast invasion, oxidative stress, and systemic inflammatory response. Additionally, the role of immune cell infiltration and glucose metabolism is crucial in PE's development. This study employed single-cell RNA sequencing data from publicly available databases to investigate the cellular mechanisms underlying PE. We identified glucose metabolism-related genes (GMRG) in relation to PE and discerned five unique cell types, predominantly Monocytes and NK cells, highlighting their potential role in PE's pathogenesis. Our study revealed an enriched gene distribution associated with glucose metabolism in these cells. Through the analysis of Differentially Expressed Genes (DEGs), we delineated 620 distinct genes. Notably, 13 of these genes, derived from the intersection of GMRG and DEGs, exhibited a pronounced association with PE. Molecular patterns further stratified PE samples based on 13 intersection genes, revealing a possible correlation between PE and CD8 T cells. Using Weighted Gene Co-expression Network Analysis (WGCNA), one major modules demonstrated strong associations with PE. In-depth analysis identified two potential biomarkers for PE diagnosis, CHPF and G6PC3, which exhibited enhanced expression in PE patients. Both genes are associated with glucose metabolism, with CHPF playing a role in chondroitin sulfate biosynthesis and G6PC3 involved in insulin resistance, an integral aspect of PE pathogenesis. Through qPCR and IHC analyses, we found significantly elevated expression and protein levels of CHPF and G6PC3 in PE tissues compared to normal samples, indicating their potential roles in PE.
ECC and AES based secure authentication scheme for the Internet of Drones using FPGA
Authors: Roy Kumar Sekhar , Sujith Murikipudi , Bhanu Bandi , Preethi Preethi , Hazarika Ruhul Amin 
Published: September 2023

Abstract
Authentication is the process of verifying the identity of an individual, system, or entity. The goal of authentication is to ensure that the entity requesting access is who they claim to be. The authentication of drones presents several challenges due to the unique characteristics and operating environment of unmanned aerial vehicles (UAVs). Some of the challenges include Identity Management, Secure Key Management, Secure Communication Channels, Limited Resources, Tampering and Spoofing etc. Therefore, Addressing these challenges requires a comprehensive approach that combines secure hardware and software design, encryption techniques, and standardized authentication schemes to ensure best practices and standards for drone authentication and security. Authentication of drones using Field-Programmable Gate Arrays (FPGAs) can provide a hardware-based approach to enhance security and performance. FPGAs are programmable integrated circuits that can be configured and reconfigured to implement custom digital logic circuits, making them suitable for implementing authentication mechanisms in drones. Using FPGA in drones can provide several advantages such as secure key storage, hardware acceleration, secure boot, secure communication, tamper detection and protection, customization and flexibility, etc. For our proposal, we have evaluated some of the well-known cryptosystems and accordingly proved the security of our scheme.