bluuebunny/crossref_metadata_2025_split huggingface dataset:
Unraveling Thromboinflammation Abnormalities in Pancreatic Cancer: Implications for Diagnosis and Treatment
Authors: Song Yi , Mao Chaoqin , Xiao Hong , Fan Cheng 
Published: January 2024

Abstract
Accumulating evidence suggested a complex interplay between coagulation disorder and inflammation in the progression of pancreatic cancer. Here, blood test results about hematological, biochemical indicators, coagulation assays, rapid thromboelastogram (r-TEG), inflammatory profiles and serum tumor markers were collected to uncover their potential implications for disease pathophysiology and explore reliable predictive parameters in pancreatic cancer (PC). A cohort of 109 PC and 91 controls were enrolled. Patients with PC exhibited a pro-coagulant state with shortened kinetics time (K), and an increased in alpha angle (Angle), maximum amplitude (MA), clot strength (G), prothrombin time (PT), plasma fibrinogen (FIB) and D-dimer (P < 0.001). Significantly elevated Interleukin 6 (IL6) levels indicated a pro-inflammatory microenvironment in PC. Correlation analyses revealed significant associations among pro-coagulant, pro-inflammatory, and pro-tumorigenic factors. Cluster analysis was employed to recognize thrombosis or inflammation phenotypes. We found that tumor necrosis factor-alpha (TNF-alpha) was significantly high in hypercoagulation subgroup of PC (P < 0.01). Meanwhile, FIB, D-dimer, PT and international normalized ratio (INR) were significantly high in hyper-inflammation subset characterized with high IL-6. Moreover, machine learning methods demonstrated excellent predictive performance of coagulation-related models for PC. This study provides insights into the complex pathophysiological landscape of PC, emphasizing the interplay between coagulation, inflammation, and tumor progression.
A step toward a reinforcement learning de novo genome assembler
Authors: Padovani Kleber , Xavier Roberto , Borges Rafael Cabral , Carvalho André Carlos , Reali Anna , Chateau Annie , Alves Ronnie 
Published: January 2024

Abstract
De novo genome assembly is a relevant but computationally complex task in genomics. Although de novo assemblers have been used successfully in several genomics projects, there is still no ‘best assembler’, and the choice and setup of assemblers still rely on bioinformatics experts. Thus, as with other computationally complex problems, machine learning may emerge as an alternative (or complementary) way for developing more accurate and automated assemblers. Reinforcement learning has proven promising for solving complex activities without supervision – such games – and there is a pressing need to understand the limits of this approach to ‘real’ problems, such as the DFA problem. This study aimed to shed light on the application of machine learning, using reinforcement learning (RL), in genome assembly. We expanded upon the sole previous approach found in the literature to solve this problem by carefully exploring the learning aspects of the proposed intelligent agent, which uses the Q-learning algorithm, and we provided insights for the next steps of automated genome assembly development. We improved the reward system and optimized the exploration of the state space based on pruning and in collaboration with evolutionary computing. We tested the new approaches on 23 new larger environments, which are all available on the internet. Our results suggest consistent performance progress; however, we also found limitations, especially concerning the high dimensionality of state and action spaces. Finally, we discuss paths for achieving efficient and automated genome assembly in real scenarios considering successful RL applications — including deep reinforcement learning.
Community Based Watershed Management Practices: Focus on Technical Fitness of Physical Structure and Its Effect on Selected Soil Physicochemical Properties in Belo-Chikle Micro Watershed, Elfeta District, Oromia, Ethiopia
Authors: Kebede Birhanu , Alemu Melkamu 
Published: January 2024

Abstract
Soil erosion is one of the major causes of food insecurity and environmental degradation in Ethiopia. In the near past, community based watershed management program have been introduced in Ethiopia. In Elfeta District, tangible and scientific information is not available on performance of soil conservation practices implemented through this program. The aim of this study was to assess technical fitness of physical soil conservation structures implemented via community based watershed management program, its effect on soil physicochemical properties, and extent of farmers’ participation on program. Field observation and physical structure component measurements were used to assess the technical fitness. Whereas, composite soil samples were collected from steep, moderate and gentle slope classes to evaluate the effects of conservation practices on soil properties. Structured questionnaire was used to assess farmers’ participation on soil conservation. As compared to nationally established specification of graded soil bund for areas similar with Elfeta District, technical errors were found in bund spacing and vertical interval. The studied soil properties were not significantly (p > 0.05) influenced with sample distance from soil bund. But, soil moisture content, bulk density, clay content, pH, electrical conductivity, organic matter, total nitrogen and cation exchange capacity were significantly (p < 0 .05) affected with slope gradient. These properties become better as the slope gradient decreaseTo ensure the sustainability of watershed management practices and minimize observed technical faults on conservation structures continued technical supports, trainings, and follow-ups are required from Districts' experts and extension services in the study area.
Mathematical modeling and analysis of electromagnetic direct drive air compressor
Authors: Guo Chunlin , Lu Jiayu , Ge Wenqing , Zhang Xiaochen , Li Bo 
Published: January 2024

Abstract
To accurately simulate the motion characteristics of a reed valve and the changes in flow field in an exhaust chamber, a fluid-structure coupling model of an electromagnetic direct drive air compressor during the exhaust process was established and simulated. The alteration of the flow field within the exhaust chamber is under examination. The transient numerical simulation of the flow field in the exhaust procedure is conducted to reduce the computational model's time complexity and provide an immediate analysis of the exhaust processThis paper explores the effects of altering valve lift and relative pressure loss given different valve parameters and exhaust pressure levels. The findings reveal that when the valve plate thickness is 0.2mm and the valve section width is 3.5mm, the airflow hindrance is significantly minimized. With the valve plate unloaded, the gas flow restriction's impact on gas flow is negligible. This paper presents a theoretical basis for designing exhaust valves for electromagnetic direct-drive air compressors.
Associations between the Urban Environment and Outdoor Walking Mobility by Cognitive Functioning in a Group of Older Adults in Singapore
Authors: Liu Yuezhong , Wong Chek Hooi , Shoval Noam , Ho Ringo Moon-Ho , Theng Yin-Leng 
Published: January 2024

Abstract
Objectives: This study aims to examine the relationship between the outdoor mobility of older adults with and without cognitive impairment and the built environment in three urban neighbourhoods in Singapore.
Methods: Outdoor walking mobility in daily life gait speed (DGS) was collected continuously for one week using a previously validated hybrid mobility tracker. Mini-Mental State Examination (MMSE) cut-offs by educational levels were used to differentiate cognitive impairment (CI) and without cognitive impairment (non-CI). The environmental characteristics examined were gross plot ratio and land use. Statistical correlations (one-way ANOVA test and linear regression) were used to examine the associations between older adults’ outdoor mobility and built environment for all CI and non-CI groups. A case example was also used to provide a location-based heatmap on DGS for 2 older adults (CI and non-CI) navigating the same neighbourhood for 3 consecutive days.
Results: Thirty-three participants registered a total of 2,428 kilometres with an average DGS of 0.74 m/s outside of their homes over a period of 220 days. The mean (SD) age of the participants was 69.2 (7.14), and 21 (64%) of them were female. Fourteen of the (42%) participants were classified as cognitive impaired. Overall, a higher gross plot ratiowas found to be associated with faster outdoor gait speed (DGS) for the non-CI group (β = 0.04, r = 0.69, p =.03) and slower DGS for the CI group (β = -0.13, r = 0.75, p =.01). The DGS of individuals with CI was slower than that of non-CI individuals, with the greatest difference observed in business and commercial areas; however, the DGS of individuals with CI was faster than that of non-CI individuals within community and residential locations.
Conclusions: Individuals with CI had a slower outdoor gait speed and may require higher adaptation to the environment. Although DGS could be used in differentiating older adults with and without cognitive impairment while mobilizing in an urban environment, considerations should also be given to understanding the interaction of DGS with different land use and typology.
A Patient with 45 X/46, XY/47, XYY Mosaic Turner Syndrome with Virilization: A Case Report
Authors: Sinthuchai Natchanika , Wanishpongpan Sinee , Wongsuwan Phumin , Vatrasresth Jarika , Suwan Ammarin 
Published: January 2024

Abstract

Background
Mosaic Turner accounts for nearly half of all Turner syndrome cases and results in a broadened clinical spectrum.
Case:
A 26-year-old female patient presented with a pelvic mass associated with signs of virilization and Turner stigmata. Conventional karyotype testing (G-banding method) revealed 46, XY; however, a further FISH (fluorescence in situ hybridization) study showed mosaicism of 45, X/46, XY/47, XYY. The patient underwent bilateral gonadectomy with comprehensive surgical staging, and histopathology revealed a yolk sac tumor.
Discussion
This case highlights an uncommon presentation of mosaic Turner syndrome. Further diagnostic tests in patients with signs of Turner syndrome are encouraged to achieve an accurate diagnosis and inform appropriate treatment.
Artificial Hummingbird Algorithm with Deep Variational Autoencoder Driven Intrusion Detection in Big Data Analytics Environment
Authors: s Thiyagarajan v 
Published: January 2024

Abstract
Recently, the enormous quantities of data and its linear upsurge have modified the importance of data safety and data analysis techniques for Big Data (BD). Intrusion Detection System (IDS) is a method that examining and monitoring data to identify some intrusion within the network or system. Higher volume, variability, and maximal speed of data produced from the network that can be achieved in the data analysis method to identify attacks by conventional methods lead to more complexity. BD methods have been employed in IDS to manage BD for efficient and accurate procedure of data analysis. Deep Learning (DL) and BD approaches are incorporated to increase the performance of IDSs. This manuscript offers an Artificial Hummingbird Algorithm with Artificial Intelligence Driven Intrusion Detection in Big Data Environment (AHAAI-IDBDE) technique. The purpose of the AHAAI-IDBDE technique exploit the Feature Selection (FS) with hyperparameter selection strategy for intrusion detection. For handling BD, MapReduce is used. In the AHAAI-IDBDE technique, Z-score normalization has been used to scale the input data. For electing an optimal set of features, the Binary Volleyball Premier League (BVPL) can be used.
To detect intrusions, the AHAAI-IDBDE technique uses Deep Variational Autoencoder (DVAE) model. For hyperparameter selection process, the Artificial Hummingbird Algorithm (AHA) can be applied. The experimental value of the AHAAI-IDBDE method has been examined deploying benchmark IDS dataset. The extensive comparison analysis portrayed the betterment of the AHAAI-IDBDE technique with other systems.
Evaluation of the use of tranexamic acid in the postoperative period in patients with scoliosis undergoing posterior fusion
Authors: Carvalho Alexandry , Silva Indira da Luz , Neto Paulo Rodrigues Cruz , Pokorny Gabriel , Amaral Rodrigo , Pratali Raphael , Acácio Ricardo , Romeiro Carlos , Magno Marcus Vinicius , Daher Murilo , Herrero Carlos Fernando PS 
Published: January 2024

Abstract

Introduction: Scoliosis is the most prevalent type of spinal deformity, with a 2-3% prevalence in the general population. Moreover, surgery for scoliotic deformity may result in severe blood loss and, consequently, the need for blood transfusions, thereby increasing surgical morbidity and the rate of complications. Several antifibrinolytic drugs have been regarded as safe and effective options for reducing blood loss, among these drugs, the tranexamic acid. Therefor the present study aimed to analyze the effectiveness of this drug for controlling bleeding when used intraoperatively and in the first 48 h after surgery.
Methods: A prospective randomized study of a cohort of patients included in a mass event for scoliosis treatment using PSF was performed. Twenty-eight patients were analyzed and divided into two groups: 14 patients were selected for intraoperative and postoperative use of tranexamic acid (TXA), and the other 14 were selected only during the intraoperative period. The drainage bleeding rate, length of hospital stay, number of transfused blood units, and rate of adverse clinical effects were compared.
Results: All the patients involved had a similar number of fusion levels addressed and a similar scoliosis profile. The postoperative bleeding rate through the drain did not significantly differ between the two groups (p > 0.05). There was no significant difference in the number of transfused blood units between the groups (p=0.473); however, in absolute numbers, patients in the control group received more transfusions. The length of hospital stay was fairly similar between the groups, with no statistically significant difference. Furthermore, the groups had similar adverse effects (p=0.440), with the exception of nausea and vomiting, which were twice as common in the TXA group postoperatively than in the control group.
Conclusions: No significant differences were found in the effective use of TXA during the first 48 postoperative hours.
Improving Adherence to Medication in an Intelligent Environment Using Reinforcement Learning
Authors: Ismail Ahsan , Naeem Muddasar , Khalid Umamah Bint , Abbas Musarat 
Published: January 2024

Abstract

Correct and timely medication plays an important role in the treatment and recovery of a patient. An intelligent and efficient patient engagement environment ensures enduring health and positive clinical outcomes. Reinforcement Learning (RL) which brought significant impacts in many areas, has useful applications in healthcare as well. In this paper, we introduce an RL-based intelligent environment that can engage the patient to improve adherence, through proper engagement alerts based on user adherence reports, and suggest him/her to improve the adherence by sending the engagement message to the user. The intelligent system uses the RL agent that decides the optimal decision to send the engagement message to the user based on a patient's behavior. The proposed system could be useful to improve adherence to medication and assist the patient in accurately following his/her medication schedule.
Investigating the role of Al doping on the bandgap modulation and photocatalytic efficiency of strontium manganese ferrite for ciprofloxacin degradation
Authors: Yasar Muhammad 
Published: January 2024

Abstract
In this study, aluminum-doped strontium manganese ferrite Sr0.2Mn0.8AlxFe2−XO4 (x = 0, 0.2, 0.4, 0.6) was used as a photocatalyst for ciprofloxacin degradation under visible light. It was prepared via Sol-gel combustion and characterized using XRD, FTIR, SEM, BET, resistivity, and optical spectroscopy, confirming its spinel structure, physicochemical attributes, and bandgap modulation from Al doping. Under Normal conditions, Sr0.2Mn0.8Al0.4Fe1.6O4 achieved 90.24% ciprofloxacin removal in 120 min under 100 W of visible light at pH 7 and 30°C. Scavenging experiments have identified superoxide and hydroxyl radicals as the primary reactive species. The kinetic analysis revealed a first-order rate law (R2 = 0.987). The catalyst exhibited excellent stability over five reuse cycles, retaining 78.32% efficiency. This research highlights the remarkable capacity of aluminum-doped strontium manganese ferrites as a sturdy and effective photocatalyst for solar-light-induced degradation of contemporary water pollutants, including ciprofloxacin.
The influence of stress perception on mobile phone addiction tendency in nursing undergraduates: the mediating role of self-control and the moderating role of psychological capital
Authors: Li Xiang Xiang , Wang Mei Fang , Feng Xiu Juan , He Lang Lang , Liang Juan 
Published: January 2024

Abstract
Background
Nursing students' pressure caused by academic burden and other reasons will induce students' mobile phone addiction. mobile phone addiction tendency impairs students' daily psychosocial functioning and can lead to depression, anxiety, loneliness, inattention and other adverse mental and physical health problems. Individuals with different levels of self-control and psychological capital respond differently to stress, so it is important to understand the factors that influence mobile phone addiction tendency in nursing students in the context of stress. This study explores the relationship between stress perception, self-control, psychological capital, and cell phone addiction in nursing undergraduates, and therefore to provide new ideas for designing strategies to improve mobile phone addiction tendency in nursing undergraduates.
Methods
From September 2022 to November 2022, a stratified random sampling method was used to select 616 nursing undergraduates from a university in Shaanxi Province as the investigation objects. Subjective stress, self-control ability, mobile phone addiction tendency and psychological capital level of nursing undergraduates were evaluated by pressure perception scale, self-control scale, mobile phone addiction tendency and positive psychological capital questionnaire. The mediating effect was tested by percentile Bootstrap method with deviation correction, and the moderating effect was tested by PROCESS program.
Results
(1) 592 valid questionnaires were collected in this study, and 176 (29.72%) of the 592 nursing undergraduates had mobile phone addiction; (2) Self-control played a mediating role between stress perception and mobile phone addiction tendency, with an effect value of 0.362, accounting for 58.86% of the total effect; (3) With the increase of psychological capital level, the influence of self-control on mobile phone addiction tendency was increased (β= -0.007, t = -3.402, P < 0.001).
Conclusions
Self-control played a partial mediating role in the positive relationship between stress perception and mobile phone addiction tendency among nursing undergraduates. Psychological capital can regulate the relationship between self-control and Mobile phone addiction tendency.
Grid-based thermal management of cylindrical lithium-ion batteries
Authors: Tian Jianhui , Wang Zaishuang , Sun Jinjuan 
Published: January 2024

Abstract

In order to solve the problem of aging and thermal runaway of lithium-ion batteries under high temperature conditions, this paper established a liquid cooling system based on liquid cooling-phase change cooling system by setting up a "grid" liquid cooling system and studied the influence of different factors on lithium-ion battery packs through numerical simulation. The results show that: the liquid cooling with different flow directions is superior to the liquid cooling with the same flow direction, the maximum temperature difference is no more than 2.5 K, and the temperature of lithium-ion battery is uniformly distributed; when phase change material is added, the maximum temperature and the maximum temperature difference reach a reasonable range when the flow rate is half of the liquid cooling, which enhances the cooling effect.
Sentinel Lymph Node Biopsy for Early Stage Vulvar Squamous Cell Carcinoma
Authors: Dinerman Aaron J. , Thompson Rachel F. , Ogola Gerald O. , Preskitt John T. , Spillman Monique A. , Landry Christine S. 
Published: January 2024

Abstract
Background and Objectives: Patients with regional lymph node (LN) involvement from squamous cell carcinoma (SCC) of the vulva have a 48% 5-year relative survival. Recently, sentinel LN (SLN) biopsy has become a viable alternative to inguinofemoral lymphadenectomy. We sought to identify risk factors for predicting a positive SLN in patients with vulvar SCC.
Methods: A retrospective review of 29 patients with vulvar SCC was performed from 2016-2021 at a tertiary care center. Clinicopathologic data was collected in addition to SLN status including number of LN removed.
Results: The average depth of invasion was 7.9 mm, average tumor size was 1.8 cm, 3/23 patients had PNI, and 4/23 patients had LVI. One patient who did not map on lymphoscintigraphy and 5 patients with recurrent vulvar SCC were excluded from final analysis. The average number of SLNs removed was 2. One patient had a positive SLN: the depth of invasion was 17 mm, tumor size was 5.1 cm, and LVI was present.
Conclusions: The majority of patients with early stage vulvar SCC had a negative SLN biopsy. Further study is needed to determine the patient subset that could avoid SLN biopsy altogether.
Remote Sensing Image Fusion (RSIF) of Hyperspectral and Panchromatic Data Using Adaptive Guided Filter
Authors: Gul Naillah , Kaur Amandeep 
Published: January 2024

Abstract
Purpose
Hyperspectral data are the most widely used remote sensing datasets. Hyperspectral Pan-Sharpening suffers from spectral distortion; the purpose of hyperspectral image fusion is to effectively inject the missing spatial detail into the HS image, while preserving the spectral information. Edge-preserving smoothing filters such as Guided Filter retains image edge and structure details while minimizing noise, gradient reversal, undershoot and overshoot artefacts. However, it exhibits halo artefacts.
Method
This paper introduces an innovative algorithm for panchromatic and hyperspectral image fusion. By employing the Adaptive Guided Filter, we enhance image sharpness and mitigate halo artefacts – objectionable counter shading around edges. This preserves image structure and aesthetic quality, maintaining the speed of Guided Filter.
Results
We have applied our technique on three Hyperspectral datasets such as DCMall, Salinas, and Moffett. Our technique has shown visually improved results for the halo artefacts over Guided Filter. We have established a comparison of our technique with Guided Filter in terms of fusion quality metrics such as cross correlation (CC), spectral angle mapper (SAM), root mean squared error (RMSE) and Erreur relative globale adimensionnelle de synthèse (ERGAS).
Conclusion
At smoothness (𝛔=2), our technique has shown better results for CC, SAM, RMSE, and ERGAS, indicating Adaptive Guided Filter perform better over Guided Filter in terms of retaining spatial quality and spectral quality.