bluuebunny/crossref_metadata_2025_split huggingface dataset:
UAV Target Location Method Based on Image Matching
Authors: Fang Qunzhong , Xu Baoshu , Zhang Chengshuo 
Published: February 2024

Abstract
In the process of target matching and localization using unmanned aerial vehicles (UAVs), challenges arise due to rotation variations, illumination changes and the limited size of images captured from the UAV perspective, leading to ineffective feature extraction. This paper presents a target image matching algorithm based on the HardNet network, which decomposes the matching problem into two stages. In the object block detection phase, the selective search algorithm is used to detect objects in the image effectively using color and contour information, especially for the extraction of small targets. In the matching phase, the HardNet network is used to extract features from the detected object blocks, effectively overcoming nonlinear variations in angle and size to improve object feature extraction. Finally, the algorithm uses similarity metrics for image matching. The experimental results show that the proposed algorithm achieves higher near-field matching accuracy when tested on image datasets, outperforming the traditional SURF and SIFT algorithms by 8–11.0%. In addition, the algorithm demonstrates increased match detection rates and robustness in scenarios involving changes in image angle, illumination and size. This research provides a viable and effective approach to UAV target localization, particularly in scenarios involving close proximity and varying environmental conditions.
Design and Analysis of Gearboxes for Wind Power Systems
Authors: Bi Yadong 
Published: February 2024

Abstract

The effective and dependable functioning of wind turbines depends on the construction and assessment of gearboxes in wind power installations. In transferring rotational energy through the wind turbine rotors to the electric power source, gearboxes are essential, and their performance has a direct bearing on the total efficiency of energy conversion. Yet, gearbox malfunctions can result in a lot of lost productivity and expensive repairs. To achieve the best overall efficiency and dependability of wind power networks, early identification and prediction of gearbox defects is essential. In order to address this problem, we introduce in this paper a new enhanced harmony search optimization-based feed-forward neural network (EHSO-FNN) technique. First, 20800 cases total, with 2600 examples for each of the 8 health categories. These instances included typical and unusual fault circumstances with variable speeds and workloads. In this investigation, 2000 records from each sample were provided, recording important operational factors, including temperature, motion, and oil quality. By using min-max normalization to record the basic gearbox health details, this data is cleaned up and turned into useful features. By using MFCC to analyze the motion and Acoustic information collected by wind turbines, we are able to identify a group of specific characteristics that are highly effective in describing the state of the system. The most insightful and pertinent features from the retrieved MFCC feature set are then chosen using EHSO. At last, a FNN model based on the selected elements is created to carry out the fault prediction. The suggested method's performance is assessed using the metrics of accuracy (98.98%), precision (98.92%), recall (99%), f1-score (98.96%), RMSE (0.021), MAE (0.028), and MAPE (0.032). The experimental findings show that, when compared to other methods(1DCNN-PSO-SVM, LSTM,TSVR, WF-MMD-JDA,SVM, and SCADA-DBN), the suggested method obtains the best prediction performance.Early fault detection is made possible by the recommended way, which also enables preventive repairs and reduces downtime for wind turbine installations.
Efficient removal of a food dye from wastewater onto coconut coir dust and its comparative illustration with other low-cost adsorbents
Authors: Kumari Roshni , Sircar Anirbid , Dey Soumen , Qaiyum Md. Atif , Bist Namrata , Yadav Kriti 
Published: February 2024

Abstract
Coloured waste water possessing toxicity in the form of various dyes were used in several industries including paper pulp, textile, food, paint etc. Bio sorption is one of the best alternative for dye removal from wastewater. Coconut coir dust (CCD) is a light weight material with great porosity and high air content, hence is chosen for the present study specimen. The current work addresses the removal of hazardous sunset yellow (SY) FCF, a coloring ingredient frequently used in the food industry, from wastewater.The uptake capacity in batch and column mode is 82 mg/g and 160 mg/g respectively. The SEM images before and after biosorption of SY onto CCD also supported the binding between the adsorbent-adorbate interface. The comparative uptake capacity of SY with other follows the order as sal flower, Eucalyptus leaf, mahua seed and coco dust with values of 26, 31, 43 and 82 mg/g respectively which is maximum in case of CCD. Adsorption parameters like effluent pH, effluent dye concentration, dose, and contact time were optimized for estimation of adsorption capacity and rate constants. The output was better at high pH and lower concentration of dye. The kinetic study suggested pseudo second order rate revealing both adsorbate-adsorbent interdependency. The isotherm supported Langmuir model with monolayer and uniform adsorption at the interfaces. The spiked effluent testing showed that tap water had the lowest adsorption percentage (91.82%) and tube well water had the greatest percentage (98.37%). The real sample analysis with lab to land approach justified sustainability and commercial viability of the present work.
Enhanced Red-tailed Hawk Algorithm: Elevating Cloud Task Scheduling Efficiency
Authors: Qin Xinqi , Li Shaobo , Tong Jian , Xie Cankun , Zhang Xingxing , Wu Fengbin , Xie Qun , Ling Yihong , Lin Guangzheng 
Published: February 2024

Abstract
With the popularity of cloud computing, effective task scheduling has become the key to optimizing resource allocation, reducing operation costs, and enhancing the user experience. The complexity and dynamics of cloud computing environments require task scheduling algorithms that can flexibly respond to multiple computing demands and changing resource states. To this end, this study proposes an improved RTH algorithm, the ERTH algorithm, which aims to improve the efficiency and effectiveness of task scheduling in cloud computing environments. Evaluations in the CEC benchmark test sets show that the ERTH algorithm outperforms the traditional PSO and GWO in several performance metrics and outperforms the emerging GWCA and CSA. This result signifies a significant advancement of the ERTH algorithm in intelligent optimization. Further, we apply the ERTH algorithm to a real cloud computing environment and conduct a comparison with the original algorithm RTH, PSO, ACO, WOA, and HLBO. When dealing with cloud computing task scheduling problems, the ERTH algorithm demonstrates better task completion time, resource utilization, and system load balancing performance. Especially in high-load and complex task scenarios, the stability and scalability of the ERTH algorithm perform exceptionally well. This study not only reveals the powerful potential of the ERTH algorithm in cloud computing task scheduling but also brings new perspectives and solutions for cloud service providers in resource allocation and task scheduling strategies. The proposal and validation of the ERTH algorithm are of great significance in promoting the application of intelligent optimization algorithms in cloud computing.
Preanalytical protocol for fresh solid tumor biospecimens
Authors: Charania Areesha A. , Pokal Aman G. , Zuaiter Dana R. , Islam Mozaffarul , Kim Alex , Budhwani Karim I. 
Published: February 2024

Abstract

Nearly seventy percent of diagnostic lab test errors occur due to variability in preanalytical factors.1–4 These are the parameters involved with all aspects of tissue processing, starting from the time tissue is collected from the patient in the operating room, until it is received and tested in the laboratory. While there are several protocols for transporting fixed tissue, organs, and liquid biopsies, such protocols are lacking for transport and handling of live solid tumor tissue specimens. There is a critical need to establish preanalytical protocols to reduce variability in biospecimen integrity and improve diagnostics for personalized medicine.2,5 Here, we provide a comprehensive protocol for the standard collection, handling, packaging, cold-chain logistics, and receipt of solid tumor tissue biospecimens to preserve tissue viability.
Neo-epitope detection identifies extracellular matrix turnover in systemic inflammation and sepsis
Authors: Fan YiWen , Moser Jill , Meurs Matijs van , Kiers Dorien , Sand Jannie Marie Bülow , Leeming Diana Julie , Pickkers Peter , Burgess Janette K. , Kox Matthijs , Pillay Janesh 
Published: February 2024

Abstract
Background
Sepsis and acute respiratory distress syndrome (ARDS) are both associated with high morbidity and mortality, primarily due to systemic inflammation-induced tissue damage, resulting organ failure, and impaired recovery. Regulated extracellular matrix (ECM) turnover is crucial for maintaining tissue homeostasis in health and in response to disease-related changes in the tissue microenvironment. Conversely, uncontrolled turnover can contribute to tissue damage. Systemic Inflammation is implicated to play a role in the regulation of ECM turnover, but the relationship between the two is largely unclear.
Methods
Ten healthy male volunteers were intravenously challenged with 2 ng/kg lipopolysaccharide (LPS, derived from Escherichia coli) to induce systemic inflammation. Plasma samples were collected before (T0) and after (T 1h, 3h, 6h and 24h) the LPS challenge. Furthermore, plasma was collected from 43 patients with septic shock on day 1 of ICU admission. Systemic neo-epitopes of extracellular matrix turnover, including ECM degradation neo-epitopes of collagen type I (C1M), type III (C3M), type IV (C4Ma3), and type VI (C6M), elastin (ELP-3) and fibrin (X-FIB), as well as the ECM synthesis neo-epitopes of collagen type III (PRO-C3), collagen type IV (PRO-C4) and collagen type VI (PRO-C6) were measured by ELISA. Patient outcome data were obtained from electronic patient records.
Results
Twenty-four hours after LPS administration, all measured ECM turnover neo-epitopes, except ELP-3, increased compared to baseline levels. In septic shock patients, concentrations of all measured ECM neo-epitopes were higher compared to healthy controls. In addition, concentrations of C6M, ELP-3 and X-FIB were higher in patients with septic shock who ultimately did not survive (N = 7) compared to those who recovered (N = 36).
Conclusion
ECM turnover is induced in a model of systemic inflammation in healthy volunteers and was observed in patients with septic shock. Understanding interactions between systemic inflammation and ECM turnover may provide further insight into mechanisms underlying acute and persistent organ failure in sepsis.
Biopolítica e inmigración: restricciones y profanaciones en el sistema de asilo en España (2019-2023)
Authors: Duque Silva Guillermo Andrés , Pérez Bolaños Diana Marcela , Sandoval Sarrias Andrés 
Published: February 2024

Se analiza el control biopolítico al solicitante de asilo en la UE que efectúan tres mecanismos jurídicos: Frontex, Eurodac y Reglamento Dublín, y las prácticas de resistencia de los inmigrantes ante este control. Metodológicamente se implementó una revisión documental teórica sobre biopolítica y una encuesta a 1 478 solicitantes de asilo en España entre 2021 y 2023. Se concluye que esta población reúne los elementos que caracterizan al Homo sacer y que, en respuesta a esto, profanan los dispositivos de control estudiados, lo que genera una forma-de-vida en comunidad que extrapola sus propias reglas a la ley, como plantea Agamben. Sin embargo, se demuestra que esta vida extralegal es transitoria y por lo tanto no coincide con el ideal de altísima pobreza agambeniano, sino que deja ver sus dificultades prácticas. Se proponen las bases de una ética de la acción ajustada a la realidad del inmigrante, que va más allá de la forma-de-vida agambeniana.
Current Trends in the Biomarker'sDiscovery for the Treatment and
Management of Colorectal Cancer: A ComprehensiveReview
Authors: Mohite Popat , Puri Abhijeet , Pandhare Ramdas , Singh Sudarshan , Prajapati Bhupendra 
Published: February 2024

Abstract:
Colorectal cancer (CRC) is a significant health issue, with countless individuals suffering. With its
bleak outlook, the number of deaths caused by CRC can only be reduced if new diagnostic and
prognostic biomarkers are identified and developed quickly. Recent developments in screening
programme development and patient management have been encouraging, but many unanswered
questions still need to be addressed before a customized colorectal cancer approach can be implemented.
Prevention of diseases, the detection of them in their early stages, the analysis of the
severity, and the treatment of any metastasized diseases are all paramount. Despite the increased
utilization of genetic profiles in decision-making processes, such as the selection of therapy and
predicting drug response, there are only a limited number of validated biomarkers for colorectal
cancer that are suitable for clinical practice. To further research into colorectal carcinogenesis, pinpoint
prospective indicators, and validate these indicators, creating non-intrusive, sensitive, and exact
biomarkers is an urgent requirement. This procedure is reliant on translational proteomics.
This investigation serves as a comprehensive resource on the current state of genetic and epigenetic
biomarkers in diagnosing, predicting, and evaluating colorectal cancer. It underscores the transformative
potential of these biomarkers in advancing CRC patient care, from early detection to personalized
treatment strategies. However, it also underscores the need for ongoing research and
validation to realize their clinical utility fully.
Expression of Circulating miR-21 and -29 and their Association with
Myocardial Fibrosis in Hypertrophic Cardiomyopathy
Authors: Angelopoulos Andreas , Oikonomou Evangelos , Antonopoulos Alexios , Theofilis Panagiotis , Zisimos Konstantinos , Katsarou Ourania , Gazouli Maria , Lazaros George , Papanikolaou Paraskevi , Siasos Gerasimos , Tousoulis Dimitris , Tsioufis Konstantinos , Vlachopoulos Charalambos 
Published: February 2024

Background:
Hypertrophic Cardiomyopathy (HCM) is characterized by myocardial
hypertrophy, fibrosis, and sarcomeric disarray.

Objective:
To evaluate the expression levels of circulating miR-21 and -29 in patients
with HCM and their association with clinical characteristics and myocardial fibrosis.

Methods:
In this case-control study, 27 subjects with HCM, 13 subjects with hypertensive
cardiomyopathy, and 10 control subjects were enrolled. Evaluation of patients’ functional
capacity was made by the six-minute walk test. Echocardiographic measurements
of left ventricle systolic and diastolic function were conducted. Cardiac magnetic resonance
late gadolinium enhancement (LGE) -through a semiquantitative evaluation- was
used in the assessment of myocardial fibrosis extent in HCM patients. The expression of
miR-21 and -29 in peripheral blood samples of all patients was measured via the method
of quantitative reverse transcription polymerase chain reaction.

Results:
Circulating levels of miR-21 were higher in both hypertensive and HCM
(p<0.001) compared to controls, while expression of miR-29 did not differ between the
three studied groups. In patients with HCM and LGE-detected myocardial fibrosis in
more than 4 out of 17 myocardial segments, delta CT miR-21 values were lower than in
patients with myocardial LGE in 3 or fewer myocardial segments (2.71 ± 1.06 deltaCT
vs. 3.50 ± 0.55 deltaCT, p<0.04), indicating the higher expression of circulating miR-21
in patients with more extensive myocardial fibrosis.

Conclusion:
MiR-21 was overexpressed in patients with HCM and hypertensive cardiomyopathy.
Importantly, in patients with HCM, more extensive myocardial fibrosis
was associated with higher levels of miR-21.
Angiogenesis and Pancreatic Cancer: Novel Approaches to Overcome
Treatment Resistance
Authors: Grobbelaar Craig , Kgomo Mpho , Mabeta Peace 
Published: February 2024

:
Pancreatic cancer (PCa) is acknowledged as a significant contributor to global cancer-
related mortality and is widely recognized as one of the most challenging malignant diseases
to treat. Pancreatic ductal adenocarcinoma (PDAC), which is the most common type of PCa, is
highly aggressive and is mostly incurable. The poor prognosis of this neoplasm is exacerbated by
the prevalence of angiogenic molecules, which contribute to stromal stiffness and immune escape.
PDAC overexpresses various proangiogenic proteins, including vascular endothelial growth factor
(VEGF)-A, and the levels of these molecules correlate with poor prognosis and treatment resistance.
Moreover, VEGF-targeting anti-angiogenesis treatments are associated with the onset of resistance
due to the development of hypoxia, which in turn induces the production of angiogenic
molecules. Furthermore, excessive angiogenesis is one of the hallmarks of the second most common
form of PCa, namely, pancreatic neuroendocrine tumor (PNET). In this review, the role of angiogenesis
regulators in promoting disease progression in PCa, and the impact of these molecules
on resistance to gemcitabine and various therapies against PCa are discussed. Finally, the use of
anti-angiogenic agents in combination with chemotherapy and other targeted therapeutic
molecules is discussed as a novel solution to overcome current treatment limitations in PCa.
Lifestyle, Environment, and Dietary Measures Impacting Cognitive
Impairment: The Evidence Base for Cognitive Subtypes
Authors: Gupta Umesh C. , Gupta Subhas C. 
Published: February 2024

:
Cognition includes all phases of valid functions and processes, e.g., sensitivity, judgment,
assessment, and decision-making. Thinking is also a cognitive procedure since it involves
considering potential opportunities. There are various types of cognition. Hot cognition involves
mental procedures where emotion plays a role, while cold cognition includes mental processes
that do not include feelings or emotions. Cognitive memories of various types include sensor memory,
sensing touch, smell, and sight; short-term memory allows one to recall, e.g., what one had
for lunch a few days ago; working memory includes remembering telephone numbers or directions
to a destination; and long-term memory comprises of major milestones in life and recalling
one’s childhood events. These are further classified as episodic, e.g., the first day in primary
school, and semantic memories, such as recalling the capital city of a country and filling out crossword
puzzles. Declarative memories include remembering significant past events, such as global
information. Cognition is affected by factors, such as nutrition, aging, addiction, environment,
mental health, physical activity, smoking, and keeping the brain active. Consumption of plant-
based foods plays a prominent role in the prevention of cognitive memory. Playing games and instruments,
reading books, and being socially active make life more satisfying, thus assisting in the
preservation of mental function and slowing mental decline.
Cervical Cancer Therapeutics: An In-depth Significance of Herbal and Chemical
Approaches of Nanoparticles
Authors: Saraswat Istuti , Goel Anjana 
Published: February 2024

Abstract:
Cervical cancer emerges as a prominent health issue, demanding attention on a global level for women's
well-being, which frequently calls for more specialized and efficient treatment alternatives. Traditional therapies
may have limited tumour targeting and adverse side effects. Recent breakthroughs have induced a transformative
shift in the strategies employed against cervical cancer. biocompatible herbal nanoparticles and metallic
particles made of gold, silver, and iron have become promising friends in the effort to fight against this serious
disease and understand the possibility of these nanoparticles for targeted medication administration. this review
article delves into the latest advancements in cervical cancer research. The safety and fabrication of these nanomaterials
and their remarkable efficacy against cervical tumour spots are addressed. This review study, in short,
provides an extensive introduction to the fascinating field of metallic and herbal nanoparticles in cervical cancer
treatment. The information that has been examined points to a bright future in which women with cervical cancer
may experience fewer side effects, more effective therapy, and an improved quality of life. This review holds
promise and has the potential to fundamentally reshape the future of cervical cancer treatment by addressing
urgent issues and unmet needs in the field.
Cinnamic Acid Ameliorates Acetic Acid-induced Inflammatory Response
through Inhibition of TLR-4 in Colitis Rat Model
Authors: Rezaei Zahra , Momtaz Saeideh , Gharazi Pardis , Rahimifard Mahban , Baeeri Maryam , Abdollahi Ali Reza , Abdollahi Mohammad , Niknejad Amirhossein , Khayatan Danial , Farzaei Mohammad Hosein , Abdolghaffari Amir Hossein 
Published: February 2024

Background:
Cinnamic acid, an active compound in cinnamon spp., has anti-inflammatory and antioxidant characteristics and is favorable in managing inflammatory bowel diseases.

background:
Background: Cinnamic acid is a chemical with anti-inflammatory and antioxidant characteristics, thus might help to manage inflammatory bowel disease.

Objective:
Evaluate cinnamic acid's effects on colitis in rats.

Methods:
To induce colitis in experimental rats, excluding the sham group, a 4% intrarectal solu-tion of acetic acid was administered. The rats were then given oral doses of cinnamic acid at 30, 45, and 90 mg/kg for two days. The animals were assessed for macroscopic and microscopic changes, and the levels of inflammatory mediators such as tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), and myeloperoxidase (MPO) were measured using Eliza kits. Additionally, real-time PCR was performed to examine the gene level of toll-like receptor 4 (TLR-4) in the colon.

Results:
Effective reduction of inflammation in acetic acid-induced colitis was achieved through Cinnamic acid administration at doses of 45 and 90 mg/kg. The decrease was achieved by inhibiting the activities of TNF-α, IL-6, and MPO while downregulating the expression of TLR-4. It is important to note that macroscopic and microscopic evaluations were significant in determining the effectiveness of cinnamic acid in reducing inflammation.

Conclusion:
Downregulation of inflammatory cytokines and TLR-4 expression may contribute to cinnamic acid's anti-inflammatory effect.