bluuebunny/crossref_metadata_2025_split huggingface dataset:
In-situ magnetic deep eutectic solvent based on dispersive liquid-liquid microextraction for determination of cefixime in biological samples by high-performance liquid chromatography
Authors: Abdi khosrou , ezoddin maryam , Behnamipour Somaye , Taghizadeh Tayebeh 
Published: August 2023

Abstract
In this study, an in-situ hydrophobic magnetic deep eutectic solvent based on ultrasound-assisted dispersive liquid-liquid microextraction (HMDES-UA-DLLME) was considered for the determination of cefixime drug in the biological samples. A deep eutectic solvent magnetized (MDES), [tetrabutylammonium bromide/decanoic acid][FeCl3] was prepared through an in-situ combination of the deep eutectic solvent (DES) and FeCl3 in the sample solution. The characterization of the synthesized component was performed by fourier transform infrared (FT-IR) and vibrating sample magnetometry (VSM). Some factors influencing the extraction yield were assessed. Based on following the optimization, the calibration curve for the analyte was in the ranges of 2-1000 µg L− 1, with a correlation coefficient higher than 0.9954. The limits of detection (LODs) and limits of quantification (LOQs) were 0.5 and 1.6 µg L− 1 in real samples, respectively. The intra-day and inter-day precision were in the range of 33 − 3.9% and 4.5–5.2% respectively. The extraction recoveries and enrichment factors of the analyte were acquired to be in the range of 92.1–93.8% and 125, respectively. Ultimately, the method was handled to extract cefixime drug in wastewater, human urine and plasma samples.
Real-time Driver Monitoring System with Facial Landmark-based Eye Closure Detection and Head Pose Recognition
Authors: Kim Dohun , Park Hyukjin , Kim Tonghyun , Kim Wonjong , Paik Joonki 
Published: August 2023

Abstract
This paper introduces a real-time Driver Monitoring System (DMS) designed to monitor driver behavior while driving, employing facial landmark estimation-based behavior recognition.
The system utilizes an infrared (IR) camera to capture and analyze video data.
Through facial landmark estimation, crucial information about the driver's head posture and eye area is extracted from the detected facial region, obtained via face detection.
The proposed method consists of two distinct modules, each focused on recognizing specific behaviors.
The first module employs head pose analysis to detect instances of inattention.
By monitoring the driver's head movements along the horizontal and vertical axes, this module assesses the driver's attention level.
The second module implements an eye-closure recognition filter to identify instances of drowsiness.
Depending on the continuity of eye closures, the system categorizes them as either occasional drowsiness or sustained drowsiness.
The advantages of the proposed method lie in its efficiency and real-time capabilities, as it solely relies on IR camera video for computation and analysis.
To assess its performance, the system underwent evaluation using IR-Datasets, demonstrating its effectiveness in monitoring and recognizing driver behavior accurately.
The presented real-time Driver Monitoring System with facial landmark-based behavior recognition offers a practical and robust approach to enhance driver safety and alertness during their journeys.
Introduction of Near Field Communication for file sharing system in radiotherapy
Authors: Okamoto Hiroyuki , Chiaba Takahito , Nishitani Masato , Nakamura Satoshi , Iijima Kotaro , Nakayama Hiroki , Shuto Yasunori , Takano Yuki , Kobayashi Yuta , Kishida Hironori , Urago Yuka , Nishina Shyuka , Kon Mitsuhiro , Igaki Hiroshi 
Published: August 2023

Abstract

Near Field Communication (NFC) is an extension of radio frequency identification (RFID) technology, enabling contactless wireless communication for easy and quick access to specific information. In this study, we aim to assess the NFC capability in the radiotherapy department and develop a file sharing system using NFC tags. We utilized the battery-less NFC tag (MM-NFCT, SANWA SUPPLY INC., Okayama, Japan), which can be placed anywhere due to its sealed one side. We uploaded various types of files and movies to be shared on Google Drive, and the sharing URL was stored in the NFC tag using a NFC application. We also provided examples of utilizing the NFC tag and examined suitable document types for sharing in the radiotherapy department. Additionally, we investigated 28 smartphones for NFC technology compatibility. Manually describing treatment planning procedures and institution-specific margin recipes of planning target volume in each tumor site is suitable for sharing via the NFC tag. By placing the NFC tag at work locations, simply touching it with a smartphone grants immediate access to these documents for confirmation. Regarding smartphone compatibility with NFC tags, 25 out of 28 individuals (approximately 89%) were able to identify the NFC tag. The NFC technology is introduced at a low cost for work efficiency. It is useful to quickly access desired information in a radiotherapy department, such as treatment planning manuals and checklists. The NFC system allows for the development of a specific-institution radiotherapy environment, enabling the sharing of various documents and NFC tag placements as desired.
Generation of a bank of clinical-grade, HLA homozygous iPSC lines with high coverage of the Spanish population
Authors: Kuebler Bernd , Alvarez-Palomo B. , Aran B. , Castaño J. , Rodriguez L. , Raya A. , Querol Sergi , Veiga A. 
Published: August 2023

Abstract
Background: Induced Pluripotent Stem Cells (iPSC) derived cell therapies are an interesting new area in the field of regenerative medicine. One of the approaches to decrease costs of iPSC derived therapies is the use of allogenic homozygous human leukocyte antigen (HLA) matched donors to generate iPSC lines and to build up a clinical grade iPSC bank covering high percentage of the Spanish population.
Methods: The Spanish Stem Cell Transplantation Registry was screened for cord blood units (CBUs) homozygous for the most common, HLA-A, -B and DRB1 haplotypes. 7 donors were selected with haplotypes covering 21.37% of the haplotypes of the Spanish population.
CD34 positive hematopoietic progenitors were isolated from the mononuclear cell fraction of frozen cord blood units from each donor by density gradient centrifugation and further by immune magnetic labelling and separation using purification columns. Purified CD34+ cells were reprogrammed to iPSCs by transduction with CTS CytoTune-iPS 2.1 Sendai Reprogramming Kit.
Results: The generated iPSCs from the 7 donors were expanded, characterized, banked, and registered. Master Cell Banks (MCB) and Working Cell Banks (WCB) from the iPSCs of each donor were produced under GMP conditions in qualified clean rooms.
Conclusions: Here we present the first, clinical-grade, iPSC haplobank in Spain made from CD34+ cells from seven cord blood units homozygous for the most common HLA-A, -B and -DRB1 haplotypes within the Spanish population. We describe their generation by transduction with Sendai viral vectors and their GMP-compliant expansion and banking. These haplolines will constitute starting materials for advanced therapy medicinal product development.
Silver nitrate damages the ovary of adult zebrafish: Evaluation of oxidative stress, expression of oxidative stress-related genes and histological changes in ovary
Authors: Ramchandani Divya M , Modi Chirag M , Patel Pavan M , Patel Harshad B , Patel Urvesh D , Paida Bhulesh V , Patel Harsh R 
Published: August 2023

Abstract
Silver nitrate, a toxic compound with harmful consequences, is found in freshwater. Adult female zebrafish as an animal model was used in this study to explore the harmful effect of silver nitrate (AgNO3) on developed ovary. Zebrafish were divided in different groups and exposed to silver nitrate at concentration of 8.75, 17.5, and 35 µg/L for 28 days. Oxidative stress markers and expression of oxidative stress-related genes and histological changes in the ovary were evaluated following exposure of silver nitrate. Exposure of Silver nitrate at highest concentration significantly decreased activity of SOD and CAT and level of GSH. While CAT activity was significantly decreased at all concentrations compared to that of control group. Medium and highest concentrations significantly increased the MDA level in the ovary. The suppression of mRNA expression of the sod, cat, and nrf2 (nuclear factor erythroid 2-related factor 2) genes at medium and highest exposure levels supports the oxidative stress related alterations. Histological examination revealed a mild depletion of yolk granules in mature oocytes at 17 µg/L, and a severe depletion of yolk granules, detachment of the vitelline membrane, degeneration of the granulosa cell layer, and proliferation of interstitial connective tissue at 35 µg/L. The findings elucidated that silver nitrate damages the ovary due to oxidative stress through down-regulation of sod, cat, and nrf2 genes.
Analysis of the decoupling effect and driving factors of carbon emissions from the transportation sector in Guangdong Province
Authors: Tang Yongping , Jiang Huiyuan 
Published: August 2023

Abstract
Promoting the Green Transformation of the Transportation Sector in Guangdong Province to Facilitate Coordinated Development between Construction and Carbon Emission Reduction in Transportation. Against the backdrop of the five-year plan, this study employs the Tapio decoupling model and the Logarithmic Mean Divisia Index decomposition method to analyze the decoupling status of carbon emissions from the transportation sector and its relationship with industry economic growth in Guangdong Province from 2001 to 2020. The results indicate the following:(1) The total volume of carbon emissions from the transportation sector in Guangdong Province, as well as per capita carbon emissions, exhibited an overall upward trend. Carbon emissions from petroleum sources accounted for a substantial 96% of the total emissions in the transportation sector, with diesel emissions contributing the highest proportion and experiencing the most significant increase.(2) The decoupling of carbon emissions from the transportation sector in Guangdong Province primarily demonstrated weak decoupling. In certain years, there were instances of expansive coupling, expansive negative decoupling, strong decoupling, and recessive coupling.The decoupling status was characterized by instability, indicating that the overall economic development of the transportation industry in Guangdong Province still relies on carbon emissions.(3) This study introduces the effects of urbanization, specifically income urbanization and spatial urbanization, which have an overall positive driving impact on changes in carbon emissions in the transportation sector of Guangdong Province. Conversely, the effects of energy intensity, population urbanization, industry scale, and energy structure have an overall negative driving impact on carbon emissions in the transportation sector of Guangdong Province. Among these factors, income urbanization emerges as the primary factor driving the increase in carbon emissions, while energy intensity acts as the main factor inhibiting the increase in carbon emissions.Finally, this study presents relevant policy recommendations.
Sensitive characterizations of rare earth ore in the Bayan Obo by terahertz time-domain spectroscopy
Authors: Zhang Tong , Zheng Zhiyuan , Zhang Mingrui , Li Shanshan , Huang Haochong , Shen Junfeng , Zhang Zili , Qiu Kunfeng 
Published: August 2023

Abstract

The Bayan Obo deposit is the world's largest polymetallic associated minerals of rare earths, iron and niobium, and the rarity of its physical properties restrict the knowledge and understanding of its laws. Taking the high-grade mixed rare earth concentrate of Bayan Obo as the research object, THz-TDS, XRF, XRD, SEM and TG-DTA of characterization are adopted for the systematic investigation of high-grade rare earth concentrate. The absorption coefficient and refractive index of high-grade rare earth ores and their associated minerals of fluorite and dolomite, are all investigated by terahertz. time-domain spectroscopy. The terahertz spectral response is affected by the type of mineral and its content. Random forest as a machine learning algorithm is used to achieve quantitative detection of their concentrations and components, with a coefficient of determination R2 of the absorption coefficient of the optical parameter reaching 0.925. This work promotes to the growing understanding of terahertz transmission spectroscopy of rare earth-bearing minerals, which can be used to help guide the search for minerals, and to detect, identify as well as quantify them in geology. Terahertz time-domain spectroscopy supplies a new method for study of rare earth resources, and the comprehensive development and utilization of resources in the Bayan Obo deposit.
Predicting the Pharmaceutical Needs of Hospitals
Authors: Nabizadeh Amir Hossein , Ghaemi Mohammed Mehdi , Goncalves Daniel 
Published: August 2023

Abstract
Purpose: People’s lives are always threatened by various diseases. The role of health and medical services, in particular medicine, is undeniable in protecting their lives. Timely preparation and providing medicine for patients is vital since medicine shortage can endanger their lives while excessive accumulation of medicine can put them at expiration risk and waste health budgets. In this paper, we introduce a model for the prediction of commonly used medicine (type and amount) in hospitals.
Methods: We have used a dataset of Afzalipur Hospital in Kerman collected for three years consisting of 283 features, which included over 12293431 medicine and 9531 patients. Nine features were selected using experts’ feedback and were fed into the random forest and neural network algorithms. For the prediction task, medicine types and their amounts were predicted for each individual using different training sets. In addition, the right prediction time was also found which is when predictions have a promising accuracy while the executive team of a hospital has enough time to provide the right amounts of the most used medicine.
Results: The performance of algorithms was evaluated using a confusion matrix. Our results showed that the random forest had a promising performance in predicting the amounts of the most used medicine for a month using two years of data (accuracy 83.3%) while its accuracy in predicting medicine was 35.9%.
Conclusion: Although our results are promising, in particular, for predicting the amounts of medicine, these results could be enhanced and more reliable using other metadata like ”patient underlying disease” and ”medical tests results”.
Accuracy of a new rapid diagnostic test for urinary antigen detection and assessment of drug treatment in opisthorchiasis
Authors: Worasith Chanika , Sithithaworn Jiraporn , Wongphutorn Phattharaphon , Homwong Chutima , Khongsukwiwat Kanoknan , Techasen Anchalee , Kopolrat Kulthida Y. , Loilome Watcharin , Namwat Nisana , Thinkamrop Bandit , Tawarungruang Chaiwat , Titapun Attapol , Laha Thewarach , Andrews Ross H. , Taylor-Robinson Simon , Sithithaworn Paiboon 
Published: August 2023

Abstract
Background
Screening for opisthorchiasis, a parasitic worm infection affecting many millions of people in Southeast Asia, has traditionally relied on fecal egg examination using the formalin-ethyl acetate concentration technique (FECT). Although urinary ELISA has been used more recently, we developed a urinary antigen-based rapid diagnostic test (RDT) to simplify diagnosis and as a point-of-care test and field applications for surveillance and control of opisthorchiasis.
Method
A urinary Opisthorchis viverrini (OV)-RDT was developed using immunochromatographic methodology with a specific monoclonal antibody against OV. The diagnostic performance of the urinary OV-RDT was compared to that of fecal FECT and urinary ELISA. Cross-relativities of urinary OV-RDT with other helminthiasis coexisted with O.viverrini were determined. A field trial in application of OV-RDT was compared with urinary ELISA at baseline screening and assessment of drug treatment outcomes in opisthorchiasis.
Results
Urinary OV-RDT had sensitivity of 94.2% and specificity of 93.2%, compared to faecal FECT (n = 493). OV-RDT had high diagnostic agreement and quantitative correlation with urine ELISA and faecal FECT. Cross-reactions of OV-RDT with other helminthiases were few (2% n = 96). Field trials of OV-RDT (n = 1629) yielded comparable prevalence of O. viverrini between urinary OV-RDT and urinary ELISA. OV screening showed high diagnostic agreement (kappa > 0.8) between OV-RDT and urinary ELISA. The cure rates of opisthorchiasis at 1 month post-praziquantel treatment determined by OV-RDT (86.6%) and urinary ELISA (80.5%) were similar.
Conclusions
The OV-RDT test has high potential as a new tool for screening and evaluating treatment outcomes in opisthorchiasis. The ease of sample collection and simplicity of OV-RDT may facilitate mass screening, control and elimination of opisthorchiasis, thereby contributing to a reduction in the disease burden in Southeast Asia.
Triglyceride-glucose index is associated with recurrent revascularization in patients with type 2 diabetes mellitus after percutaneous coronary intervention
Authors: Chen Qiang , Xiong Shiqiang , Zhang Zhen , Yu Xiuqiong , Chen Yingzhong , Ye Tao , Yang Siqi , Qi Lingyao , Chen Xu , Liu Hanxiong , Zheng Jingang , Cai Lin 
Published: August 2023

Abstract
Background: The TyG index, a reliable surrogate marker of insulin resistance, is independently associated with the severity of coronary artery lesions and the prognosis of coronary heart disease. The investigation aimed to explore the relationship between the TyG index and recurrent revascularization in individuals with type 2 diabetes mellitus (T2DM) resulting from the progression of lesions or in-stent restenosis (ISR).
Method: A total of 598 patients who met the inclusion and exclusion criteria were enrolled and divided into two groups based on the cut-off value determined through receiver operating characteristic (ROC) curve analysis. The primary endpoint was recurrent revascularization resulting from the progression of lesions or ISR. Cumulative curves were derived using the Kaplan-Meier method, while multivariate Cox regression analysis was employed to identify predictors of recurrent revascularization. The predictive ability of the TyG index was evaluated using several measures, including the ROC curve, likelihood ratio test, Akaike's information criteria, continuous net reclassification improvement (NRI), and integrated discrimination improvement (IDI). Internal validation was conducted through bootstrapping with 1000 resamples.
Results: During a median follow-up period of 19.00 months, a total of 62 (10.37%) patients experienced recurrent revascularization, including 53 cases of lesion progression and 9 cases of in-stent restenosis. After adjusting for potential confounders, the TyG index demonstrated an independent association with the primary endpoint in patients with diabetes (HR 1.9462, 95% CI: 1.2314 - 3.0760, P= 0.0044). The likelihood ratio test and Akaike's information criteria showed that the TyG index significantly improves the prognostic ability. Additionally, adding the TyG index improved the ability of the established risk model in predicting recurrent revascularization, indicated by a C-index of 0.776 (95% CI 0.724 – 0.828, P<0.01), with an NRI of 0.242 (95% CI 0.050–0.450, P=0.01), and an IDI of 0.024 (95% CI 0.003–0.077, P=0.02). These results remained consistent when the models were confirmed using an internal bootstrap validation method.
Conclusion: The findings highlight the potential of the TyG index as a valuable predictor of recurrent revascularization. Lesion progression emerged as the primary contributor to recurrent revascularization instead of in-stent restenosis. The incorporation of the TyG index into risk prediction models is likely to be beneficial for accurate risk stratification in order to improve prognosis.
Comprehensive characterisation of adipogenesis-related genes in colorectal cancer for clinical significance and immunogenomic landscape analyses
Authors: Han Jing , Li Shang shang , Zhan Qiong , Hu Yuchao , Zhong Chaoxiang , Yang Jie , Qiu Zhengcai 
Published: August 2023

Abstract
Objective: Colorectal cancer (CRC) is a significant global health concern, necessitating the identification of biomarkers and molecular subtypes to enhance clinical management. This study aims to evaluate the clinical significance of adipogenesis-related genes (ARGs) and molecular subtypes in CRC.
Methods: A comprehensive analysis of ARGs in CRC was conducted using publicly available datasets from accessible databases and bioinformatics tools. Unsupervised clustering analysis determined CRC molecular subtypes, while LASSO regression produced a prognostic model for risk assessment. The immunogenomic patterns and immunotherapy analysis were used for predicting patient response to immunotherapy. Additionally, qPCR analysis validated the identified pivotal gene expressions.
Results: Analysis of RNAseq data obtained from normal and tumour tissues revealed 50 differentially expressed biomarker genes. Unsupervised clustering identified two subtypes (Clusters A and B) with distinct survival outcomes. Clusters A and B displayed differing immune cell compositions and enriched biological pathways, suggesting potential therapeutic targets. A risk score model, employing five ARGs, effectively stratified patients into high and low-risk categories, demonstrating significant differences in survival outcomes. The model was validated and demonstrated robust predictive performance. High-risk patients exhibited altered immune cell proportions and gene expressions compared to low-risk patients. Furthermore, qPCR experiments confirmed the bioinformatics analysis findings.
Conclusion: This study provides valuable insights into the clinical relevance of ARGs and molecular subtypes in CRC, facilitating improved precision medicine and personalised treatment modalities.
Exploring the Potential of Augmented Reality Games for Managing Autism and ADHD: A Promising Alternative Approach
Authors: Joseph Jesla , Vinay M , Warrier Sunayna 
Published: August 2023

Abstract
Attention-Deficit/Hyperactivity Disorder ADHD significantly impairs a person's ability to function on a daily basis and negatively impacts their general wellbeing. Alternative methods are becoming more popular, despite the fact that standard therapies like medicine and behavioral therapy are frequently used. The usage of augmented reality (AR) games, Artificial Intelligence (AI) and neurofeedback therapy are the new possibilities we study and this article focuses on importance of AR. With its interactive and immersive features, augmented reality (AR) has potential for controlling ADHD, especially in pediatric populations. AR games can be particularly created to treat issues connected to ADHD and improve executive functioning, focus, and attention. These gamification techniques offer creative and entertaining solutions that assist people with ADHD in managing symptoms and enhancing overall functioning by utilizing the captivating qualities of AR.