bluuebunny/crossref_metadata_2025_split huggingface dataset:
“Decompression illness” on extracorporeal membrane oxygenation
Authors: Hu Jiannan , zhao Huijing , Bian BingBing , San Renfei , Yang Peng , Jiang Yongpo 
Published: February 2024

Abstract
Background
Extracorporeal membrane oxygenation (ECMO) is increasingly being used for critically ill patients with cardiopulmonary failure. Air in the ECMO circuit is an emergency, a rare but fatal complication.
Case presentation:
We introduce a case of a 76-year-old female who suffered from cardiac arrest complicated with severe trauma and was administered veno-arterial extracorporeal membrane oxygenation. In managing the patient with ECMO, air entered the ECMO circuit, which had not come out nor was folded or broken. Although the ECMO flow was quickly re-established, the patient died 6 hours after initiating ECMO therapy.
Conclusions
In this case report, the reason for the complication is drainage insufficiency. This phenomenon is similar to decompression sickness. Understanding this complication is very helpful for educating the ECMO team for preventing this rare but devastating complication of fatal decompression sickness in patients on ECMO.
A Recursive Algorithm to Improve the Sampling Rate of Microwave SQUID Multiplexed Readout for Fast Microcalorimeter Signals
Authors: Liao Guofu , Liu Congzhan , Li Zhengwei , Zhang Yongjie , Zhang Laiyu , Xu Yu , Shu Shibo , Yan Daikang , Gao He , Zhang Yifei , Lu Xuefeng , Li Xufang , Ren Xiangxiang , Xu He , Wu Di 
Published: February 2024

Abstract
The Microwave SQUID Multiplexer ($\mu$MUX) is a critical readout technology for large-scale Superconducting Transition-Edge Sensor (TES) array. It is considered as a promising readout system for both bolometer and calorimeter applications of large-scale TES array. It has been employed in several Cosmic Microwave Background (CMB) experiments, in which the TESes are used as bolometers. However, in the field of calorimeter applications of TESes, such as X-ray detection, the $\mu$MUX system has not been widely used. The main reason is the slew rate of calorimeter pulse signal is much faster than that of bolometer, which will increase the difficulties of data processing in $\mu$MUX electronics. In a typical microwave SQUID Multiplexed readout scheme, the sampling rate is determined by the frequency of the flux-ramp modulation. For CMB experiment, the frequency of the flux-ramp is usually set to about $\mathcal{O}$(10~kHz). However, for X-ray detection, it is necessary to improve the frequency of flux-ramp to about 1~MHz. It is a challenge to implement the high speed data processing with current $\mu$MUX electronics.%The $\mu$Mux readout algorithm is a crucial component.Currently, the implementation of the $\mu$Mux readout algorithm is complex, and the sampling rate for each TES is low, only reaching kHz.We propose a recursive algorithm to reconstruct the fast TES signals with high sampling rate in case of no hardware changes. This algorithm is simple enough to implement in real time data collection. %In this paper, we describe and demonstrate this technique with a reasonable simulation model of $\mu$MUX. The simulation results shows that the recovered sampling rate can break through the frequency limitation of the flux ramp, reaching up to analog-to-digital converter (ADC) sampling rate. The non-linearity is lower to 0.25\% in full dynamic range.
MIRAD: A Method for Interpretable Ransomware Attack Detection
Authors: Marcinkowski Bartosz , Goschorska Maja , Wileńska Natalia , Siuta Jakub , Kajdanowicz Tomasz 
Published: February 2024

Abstract
In the face of escalating crypto-ransomware attacks, which encrypt user data for ransom, our study introduces a significant advancement in dynamic ransomware detection. We develop an innovative machine learning model capable of identifying ransomware activity. This model is uniquely trained in a simulated user environment, enhancing detection accuracy under realistic conditions and addressing the imbalances typical of ransomware datasets.
A notable aspect of our approach is the emphasis on interpretability. We employ a simplified version of Generalized Additive Models (GAMs), ensuring clarity in how individual features influence predictions. This is crucial for minimizing false positives, a common challenge in dynamic detection methods. Our contributions to the field include a Python library for easy application of our detection method, and a comprehensive, publicly available ransomware detection dataset. These resources aim to facilitate broader research and implementation in ransomware defense.
Radio-photodynamic therapy capability of advanced Au@ALA nanocluster in breast cancer treatment
Authors: Talaee Omid , Faghihi Reza , Rastegari Banafsheh , Sina Sedigheh 
Published: February 2024

Abstract
Purpose
The purpose of current study was to assess the impact of ALA-coated gold nanoclusters (Au NPs) on the combined therapeutic effects of radiotherapy (RT) and photodynamic therapy (PDT) on healthy MCF-10A and MCF-7 breast cancer cells.
Methods
The Au NPs were covered with ALA using PEG polymer, resulting in the synthesis of Au@ALA NPs. The successful synthesis of the final NPs was confirmed through FTIR, XRD, TEM, and UV-Vis tests. MCF-10A and MCF-7 cell lines were treated with different concentrations of Au@ALA NPs and exposed to irradiation of 2 and 4 Gy (using MV X-ray) and 630 nm laser light irradiation. Cytotoxicity was assessed using the MTT method.
Results
The findings revealed that the damage inflicted by Au@ALA NPs on cancerous tissue was significantly greater than that on normal tissue. The cytotoxic effects of all experimental groups exhibited a direct correlation with increasing concentrations and radiation doses. The combination of Au@ALA NPs with RT doses of 2 and 4 Gy resulted in a reduction in cell viability by a factor of 1.58 (P = 0.001) and 1.73 (P = 0.004), respectively. Furthermore, the simultaneous intervention of NPs with PDT and RT at doses of 2 and 4 Gy led to a decrease in cell viability by a factor of 2.10 (P = 0.001) and 3.08 (P = 0.001) in turn.
Conclusion
The concurrent application of Au@ALA NPs in RT and PDT successfully enhanced the radiosensitization of breast cancer cells to megavoltage RT and PDT.
The Effect of Lupicof Drug on Electrochemical Behaviour of Mild Steel in Sulphuric Acid medium
Authors: Geethamani P. , Kanagamani K. , Muthukrishnan P. 
Published: February 2024

Abstract
A huge attention has been paid for the many long years to solve the corrosion related damages and destruction of metallic and alloy materials. Many failures of demolition of materials due to the corrosion showed that worldwide, the various forms of corrosion are primarily substantial. This paper presents, corrosion inhibitive study of an expired Lupicof (Lu) drug on the mild steel in 1M sulphuric acid medium by gravimetric (weight loss), electrochemical methods and scanning electron microscopy (SEM) studies with EDX and FTIR and quantum studies will be discussed. The temperature studies reveals that The adsorption isotherm typically describes the interaction between the inhibitors and the surface of mild steel drug as inhibitor obeys Langmuir’s and Temkin adsorption isotherms. Polarization studies indicate this inhibitor functions as a mixed form of inhibition. The above-mentioned studies support that, the Lupicof inhibitor acts as a good inhibitor in the given acidic medium which has been correlated with the quantum chemical studies also to prevent corrosion failures cases.
A Content-based Reasoning Method for Multi-hop Question Answering using Graph Neural Networks
Authors: Ghafouri Arash , Naderi Hasan , Bidgoli Behrouz Minaei 
Published: February 2024

Abstract
Question-answering systems require retrieving evidence from multiple documents or paragraphs and reasoning over them to meet users' information needs and answer their complex questions. On the other hand, the Explainability and comprehensibility of the predictions made by question-answering systems pose a challenge. In this paper, a content-based reasoning approach based on graph-based machine reading comprehension methods is proposed to answer multi-hop complex questions. In this approach, relevant paragraphs are selected in a two-step process after receiving the input of a multi-hop complex question. Then, to facilitate content-based reasoning and utilize the evidence related to the multi-hop complex question in the retrieved paragraphs, an incoherent graph infrastructure is constructed. Subsequently, a graph neural network and a transformer are employed as an encoder to extract the content-based answer relevant to the question from the graph infrastructure. Finally, to overcome the challenge of interpretability in the question-answering system, a transformer and the predicted answer are utilized. To evaluate the effectiveness of the proposed research, the proposed method is tested on the HotpotQA open-domain dataset with over 112,000 question samples. The results obtained in the relevant paragraph selection section show an improvement 0.58% in F1 compared to the best existing results. Furthermore, in the question answering section, improvements of 2.07%, 6.64%, and 9.97% are observed in F1, exact match and joint F1 metrics, respectively, compared to the best method. In the supporting fact prediction section, the results obtained in the proposed method demonstrate a significant superiority over the best existing works.
Non-Invasive Real-Time Multimodal Deception Detection Using Machine Learning and Parallel Computing Techniques
Authors: Abdulridha Fahad , Albaker Baraa M. 
Published: February 2024

Abstract

Detecting deception reliably has been a sought-after goal for researchers since the early 20th century. This is due to its high stakes nature, especially when considering the setting under which a deception detection system would be utilized, such as law enforcement sectors, judicial bodies, and criminal investigation bodies. Therefore, recent literature has greatly focused on developing systems with ever increasing accuracies to minimize false positives. Attempts to diversify the sources of data being analyzed and classified as well as the reliance on artificial intelligence technologies have shown great success. But little attention was paid to the applicability of these systems in real-life scenarios. an idle deception detection system needs to exhibit accuracy but also perform in real-time, a feature that is lacking in the current state-of-the-art. In this work, a non-invasive real-time multimodal deception detection system is developed using advanced machine learning techniques. It combines data sources from video and audio streams to extract visual, acoustic, and linguistic features. It also utilizes parallel computing techniques to ensure high performance adequate for real-time usage. Furthermore, a user-friendly graphical user interface was built to facilitate the use of the system. Multiple experiments were conducted to determine its accuracy under various circumstances and combinations of features, the system had a detection accuracy of 99.83% under real-life, high-stakes scenarios using visual and acoustic features, and 91.03% accuracy under controlled environments, while an 89.54% accuracy was achieved using mixed environments and using visual, acoustic, and linguistic features.
Quantum RGB Image Encryption based on Bit-planes and Logistic Map
Authors: Basiri Saeed , Matin Laleh Farhang , Naseri Mosayeb 
Published: February 2024

Abstract
Data encryption is one of the main factors in their transmission. In this paper, we have described an algorithm for color image encryption, some quantum encryption and image scrambling operations will be performed based on bitplane representation of quantum images (BRQI). Next, the image created using the logistic map (key image) is blended with the output of the first step, which was possible with the help of a quantum comparator circuit. Finally we create a secure image as the output of the encryption algorithm. Experiments with simulation and analysis of parameters such as entropy and correlation coefficient of adjacent pixels in three main positions show that the proposed algorithm has been very efficient and effective in securing and encrypting color images.
Development of The Neonatal Pain Response Variable Set: A mixed methods consensus process
Authors: Zhu Nanxi , Long Bingjie , Zhan Xinling , Zhang Lanxin , Wang Zechuan , Wang Lianhong , Huang Yi , Chen Juan , Huang Chi , Xiong Lu , Fu Zhenyan , Deng Renli 
Published: February 2024

Abstract

Purpose
While over 40 neonatal pain assessment scales have been published, owing to lack of consensus and standardized metrics, there are more than 100 assessment indicators with varying descriptors and quality differences. This study aims to reach consensus on optimal and comprehensive variables for neonatal pain assessment, leading to develop a multi-dimensional neonatal pain response variable set.
Method
This study consisted of three phases: (1) A literature review was conducted to identify influencing factors and assessment indicators of neonatal pain response. (2) Panel meeting involving neonatal healthcare professionals evaluated and screened factors and indicators to develop an initial draft of the variable set. (3) Through two rounds of Delphi study achieved consensus, and determined the neonatal pain response variable set.
Results
Through a literature review and a panel meeting, the identified factors and indicators were categorized into contextual, physiological, and behavioral variables, forming an initial draft of the variable set. Sixteen professionals participated in two rounds of the Delphi study, with response rates exceeding 70%, and authority coefficients surpassing 0.7 in both rounds. The final iteration of the variable set includes 9 contextual variables, 2 physiological variables, and 5 behavioral variables.
Conclusions
Neonatal pain response variable set developed in this study is scientific, comprehensive, and multidimensional, aligning with the characteristics of neonatal pain response and clinically applicable. The inclusion of contextual variables enhances the ability to confront the complexity of clinical environments and individual differences. It can provide a practical and theoretical basis for clinical research on neonatal pain assessment.
Treatment with robot-assisted gait trainer Walkbot along with physiotherapy vs isolated physiotherapy in children and adolescents with cerebral palsy. Experimental study.
Authors: Olmos-Gómez Raquel , Calvo-Muñoz Inmaculada , Gómez-Conesa Antonia 
Published: February 2024

Abstract

Background: Improving walking ability is a key objective in the treatment of children and adolescents with cerebral palsy (CP), since it directly affects their activity and participation. In recent years, robotic technology has been implemented in gait treatment, which allows training of longer duration and repetition of the movement. To know the effectiveness of a treatment with the robotic-assisted gait trainer (RAGT) Walkbot combined with physiotherapy compared to the isolated physiotherapy treatment in children and adolescents with CP, we carried out a clinical trial.
Methods: 23 participants (mean age 8.56), were divided into two groups: experimental (EG) and control (CG). During 5 weeks, both groups received their physiotherapy sessions scheduled, in addition EG received 4 sessions per week of 40 minutes of RAGT. An evaluation of the participants was carried out before the intervention, at the end of the intervention, and at follow-up (two months after the end of the intervention). Gait was assessed with the Gross Motor Function Measure-88 (GMFM-88) dimensions D and E, strength was measured with a hydraulic dynamometer, and range of motion (ROM) was assessed using the goniometer. A mixed ANOVA was performed when the assumptions of normality and homoscedasticity were met, and a robust mixed ANOVA was performed when these assumptions were not met. Statistical significance was stipulated at p < 0.05. For the effect size, η2 was calculated.
Results: Significant differences were found regarding the time x group interaction in the GMFM-88 in dimension D [η2= 0.016], in the flexion strength of the left [η2=0.128] and right [η2=0.142] hips, in the extension strength of the right hip [η2=0.035], in the abduction strength of the left hip [η2=0.179] and right [η2=0.196], in the flexion strength of the left knee [η2=0.222] and right [η2=0.147], and in the ROM of left [η2= 0.071] and right [η2=0.053] knee flexion.
Conclusions: Compared to treatments without walking robot, physiotherapy treatment including RAGT Walkbot improves standing, muscle strength, and knee ROM in children and adolescents with CP.
Trial registration: ClinicalTrials.gov: NCT04329793.
Change in popping, structural, functional, and crystalline properties of roasted makhana seeds in prolong storage: an FTIR, GC-MS, SEM, XRD study
Authors: Sharma Kalyani , Patel Shadanan , Jha Shyam Narayan , Devi Mridula , Nandan Shiv , Vishwakarma Rajesh Kumar 
Published: February 2024

Abstract

Effect of storage duration on changes in the popping behaviour due to structural, physico-chemical, and crystalline properties alterations of raw, roasted and 6-month stored roasted makhana seeds was studied using scanning electron microscopy (SEM), FTIR, GC-MS. Dynamic light scattering (DSC), x-ray diffraction (XRD), and differential scanning calorimetry (DSC) analysis. The roasted seed were stored in under airtight polypropylene packets for 6 months. Popped makhana recovery did not change significantly up to 150 days of storage and decreased significantly thereafter. SEM analysis showed that the capillaries were formed in the roasted kernel after 6-months storage due to slow release of water molecules as a result of starch retrogradation during storage. FTIR analysis showed similar peaks for the functional groups and 16 volatile compounds were identified by GC-MS analysis. Hydrated particle size of the samples decreased after 6-month storage, which was less than popped makhana but higher than raw makhana seeds. Long chains of amylopectin broke into shorter double helices after storage. Degree of crystallinity of raw, fresh roasted, and 6-month stored roasted seeds were 31%, 22.5%, and 30%, respectively. Increase in crystallinity was found to be responsible for the significant reduction in popped makhana recovery after 6-months storage because the water molecules detached from the starch were trapped in the capillaries and changed the starch structure to the crystalline phase.
The safety and effectiveness of Bevacizumab in Metastatic Colorectal Cancer with Unresectable Metastases: A Real-Life Study from the south of Morocco
Authors: rais ghizlane , boutaggount farah , Mokfi Rania , maskrout meryem , Bennour Soundous , Senoussi chaymae , Rais fadoua , lahlou laila 
Published: February 2024

Abstract

Colorectal cancer constitutes a significant public health challenge, yet remarkable strides have been made in the last two decades, particularly in the medical management of metastatic stages. Notable progress has been achieved through targeted therapies such as Anti-EGFR or Anti-Angiogenic Antibodies, as well as advancements in surgical approaches for hepatic metastases. This study seeks to assess the efficacy and safety of Bevacizumab Plus Chemotherapy in individuals dealing with metastatic colorectal cancer." This is a observational cross-sectional retrospective study of all the patients who were followed up for metastatic colorectal cancer with unresectable metastases and were treated by Bevacizumab in combination with a standard chemotherapy from January 2010 until December 2019 in the medical oncology department of the CHU Souss Massa of Agadir. Of the total 162 cases,72% patients were with metastatic disease, 28% progressed to metastatic disease after initial treatment. The median age of patients were 55 (23–79 years) with a sex ratio of 1.1 (M / F) .The tumor was located in the left colon in 83.4% of the patients. The results represented: adenocarcinoma in 84,6% of the cases and mucinous subtype in 14.19% .The three most common sites of metastasis were: liver 61.6%,peritoneum 41.5% and lung 20.37%. In the first line, 100% of the patients received bi-chemotherapy plus bevacizumab: XELOX 54.3% ,FOLFOX 20.9%, XELERI 14.1% and FOLFIRI 10.4%. Response after first-line treatment were: 45,7% progression, 25.9% stability, 21.6% partial response, 6,8% complete response. 6% of patients were able to benefit from surgical resection of metastatic lesions. 25,8% of patients received 5FU in 2nd line chemotherapy with irinotecan in 20.7% of the cases or with oxaliplatin in 5.1% of the cases. Two patients developed undesirable side-effects under bevacizumab (hypertension). The median progression-free survival and median overall survival of study cohort were 9 months and 14 months respectively. Nevertheless, patients who underwent primary tumor resection (p 0.048), those with rightsided tumors (p 0.022), those who received a higher number of treatment cycles (p 0.020) and those who received maintenance treatment (p 0.001) had a longer median OS . Chemotherapy combination with bevacizumab is considered as the cornerstone of mCRC treatment in our region. With the new healthcare and social security systems, easier access to expensive treatments and molecular pathology tests is currently available. It is important to highlight that real world data can offer valuable insights for daily clinical practice of medical oncology.
Understanding the changes induced by the incorporation of trees in low densities into livestock systems: relevance of a long-term interdisciplinary experimental platform
Authors: Fedrigo Jean K. , Benítez Valentina , de Souza Mauricio , Morales Virginia , Piñeyro Pedro , Viana Víctor , Blumetto Oscar , Pravia Virginia , Ciganda Verónica , Cancela Héctor , Bertoncelli Patricia , Laufer Gabriel Laufer , Barrios Pablo González , Siri Paulina , Báez Francisco , García Luis Fernando , Gil Carolina Viñoles 
Published: February 2024

Abstract

The purpose of this work is to describe the creation process of the first long-term experimental platform designed for interdisciplinary studies of Silvopastoral Systems (SPS) in Uruguay. This experiment involves professionals from diverse fields working together to generate knowledge for sustainable agriculture. The focus is on understanding long-term interactions in SPS, emphasizing native ecosystem conservation and increased agricultural productivity. Covering 30 ha, this experimental platform incorporates three treatments, implemented in a randomized complete block design with three replications: 1) a natural grassland without trees, 2) a two-row SPS with 160 trees/ha, and 3) a four-row SPS with 240 trees/ha. The platform's design involves the exploration of variables such as aboveground biomass and botanical composition, microclimate, silviculture, livestock performance, soil carbon dynamics, ecosystem integrity index, monitoring ecological indicators such as amphibian and soil spiders, optimizing modeling and economic benefit and social aspects. This platform will allow us to understand the changes induced by the incorporation of trees in two different densities to livestock systems. We also expect to understand the best combination of activities to optimize the income of the farmers, considering the relevance of a positive impact on social aspects, such as increased demand of employment, adoption by farmers, and the interest of new generations.