bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of the macro-, meso- and microplastic pollution in French riverbanks and beaches using citizen science with schoolchildren
Authors: Philip Léna , Picard Maela Le , Lavergne Edouard , Bourgain Pascaline , Sabard Brigitte , Troublé Romain , Meistertzheim Anne-Leila , Ludwig Wolfgang , Halle Alexandra ter , Lacroix Camille , Ghiglione Jean-Francois 
Published: February 2024

Abstract

Rivers are the major source of anthropogenic litters entering the ocean, especially plastic debris that accumulate in all ecosystems around the world and pose a risk to the biota. Reliable data on distribution, abundance and types of stranded plastics are needed, especially on riverbanks that have received less attention than beaches. Here, we present the citizen science initiative Plastique à la loupe (Plastic under the magnifier), that compares for the first time the distribution of different litter sizes (macrolitters, meso- and microplastics) over 81 riverbanks and 66 beaches sampled in France between 2019 and 2021. A total of 149 classes (3,113 schoolchildren) from middle class to high school collected, sorted and enumerated 55,986 pieces of plastic to provide a baseline of the current pollution by stranded debris at the national level. Single-use plastics (mainly food-related items) were very abundant on riverbanks (43%), whereas fragmented debris dominated the macrolitter on beaches (28%). Microplastics were always higher in number compared to mesoplastics and macrolitter, with polystyrene and polyethylene found in equivalent proportions on riverbanks while polyethylene dominated microplastics on beaches. Tracing the source of plastic items was possible only for a small proportion of the numerous collected items, mainly for identifiable macrolitter and microplastic pellets. This study lays out the foundations for further works using Plastique à la loupe citizen science initiative in France and additional comparisons to other studied habitats worldwide, which can be used by scientists and policy-makers for future litter monitoring, prevention and clean-up strategies.
Validation of Combiomed Hipermax-BF model A7101 automatic oscillometric arm sphygmomanometer in general population: AAMI/ESH/ISO Universal Standard (ISO 81060-2:2018)
Authors: Gonzalez Yamile Valdes , Véliz Damaris Hernández , Rojas Nurys Armas , García Reinaldo De la Noval , Ringrose Jennifer , Padwal Raj 
Published: February 2024

Abstract

This study was designed to evaluate the accuracy of the Hipermax-BF model A7101 automatic oscillometric arm sphygmomanometer (Combiomed, Havana, Cuba) in general population. The research was developed according to the Universal Standard AAMI/ESH/ISO (ISO 81060-2:2018) and the ISO 81060-2:2018/DAM amendment 1 of 2020. The subjects were recruited according to the requirements of age, gender, blood pressure values and arm circumference based on the recommendations. The same arm sequential blood pressure measurement method was used. For measurements with the device under test, the 2-piece cuff was used. 92 subjects were recruited and 85 were analyzed. Mean age was 44.8 ± 14.7 years, mean arm circumference was 32.3 ± 6.2, and 56.5% were female. For Validation Criterion 1, the mean value ± standard deviation of the differences in readings between the device under test and the reference device was 1.2 ± 4.9/0.8 ± 4.9 mmHg (systolic/diastolic). For both pressures, in criterion 1 the standard requires a mean value of the differences ≤ ± 5 mmHg and a standard deviation ≤ ± 8 mmHg. For Validation Criterion 2, the standard deviation of the mean blood pressure differences per subject was 4.2/4.2 mmHg (systolic/diastolic). According to Table 1 of criterion 2 of the standard, for the obtained mean values of 1.23/0.84 mmHg (systolic/diastolic), the maximum allowable standard deviation had to be < 6.84 for PS and < 6.89 for PD. The Combiomed Hipermax-BF A7101 automatic sphygmomanometer meets the requirements of the AAMI/ESH/ISO Universal Standard (ISO 81060-2:2018) in the general population.
Clinical Characteristics and Hospital Outcomes of Gallbladder and Pancreatic Tuberculosis: Insights from the National Inpatient Sample Database
Authors: Albuni Mhd Kutaiba , Sawaf Bisher , Hijazi Mohamad , Aboursheid Tarek , Abbarh Shahem , Hajjar Adnan , Alzabibi Mhd Amin , Shibani Mosa , Daaboul Obada , Dousa Khalid M. 
Published: February 2024

Abstract

Hepatobiliary and pancreatic tuberculosis (TB) are rare forms of extrapulmonary TB, posing challenges for diagnosis and management. This study utilizes the National Inpatient Sample (NIS) database to investigate the clinical characteristics and outcomes of patients with these conditions. We analyzed data from the NIS database (2016–2019) to identify patients with tuberculous pancreatitis and tuberculosis of the gallbladder. Categorical variables were summarized and compared using descriptive statistics and chi-square tests. Mean costs and standard deviations were calculated for financial assessment. The cohort consisted of 49 patients with diverse baseline characteristics and comorbidities. Medicare was the primary expected payer for most patients, and urban teaching hospitals were the common treatment setting. Hospital stays vary in length depending on factors such as primary payer, hospital teaching status, region, and bed size. Costs also varied and were highest in 2019. Medicaid had the highest mean cost among primary payers, while private insurance had the lowest. Urban teaching hospitals had higher mean costs compared to urban non-teaching hospitals. The West region had the highest mean cost, while the Northeast had the lowest. A larger hospital bed size was associated with higher costs. These findings contribute to understanding these rare manifestations of TB and can inform clinical decision-making and resource allocation.
A novel role of peroxiredoxin 2 in diabetic kidney disease progression by activating the classically activated macrophages
Authors: Li Xia , Long Hehua , Peng Rui , Zou Xue , Zuo Siyang , Yang Yuan , Chen Min , Yuan Huixiong , Liu Zeying , Wang Teng , Zhao Qingqing , Guo Bing , Liu Lirong 
Published: February 2024

Abstract

Diabetic kidney disease (DKD) is the main cause of death due to diabetes mellitus (DM). Due to the complexity of the onset, it is difficult to achieve accurate prevention and treatment. The classically activated macrophages (M1) polarization is a crucial proinflammatory mechanism in DKD, while the interaction and cascade effects of oxidative stress and inflammatory response remain to be elucidated. A urine proteomic analysis of DM patients indicated that peroxiredoxin 2 (PRDX2) had the higher abundance in DKD. We recently found that PRDX of parasitic protozoa Entamoeba histolytica, which was similar to human PRDX2 in amino acid sequence and spatial structure, could activate the inflammatory response of macrophages through toll like receptor 4 (TLR4). Hence, our study was designed to explore the role of PRDX2 in chronic inflammation during DKD. Combined with in vivo and in vitro experiments, results showed that the PRDX2 was positively correlated with DKD progression and upregulated by high glucose or recombinant tumor necrosis factor-α in renal tubular epithelial cells; Besides, recombinant PRDX2 could promote macrophages M1 polarization, enhance the migration and phagocytic ability of macrophages through TLR4. In summary, our study has explored the novel role of PRDX2 in DKD to provide basis for further researches on the diagnosis and treatment of DKD.
Optimized PV-based induction motor drive for electric vehicle system with bidirectional converter: modeling and analysis
Authors: Anand Vinay , Sharma Himanshu , Yadav Arvind , Arora Krishan , Joshi Gyanendra Prasad , Cho Woong 
Published: February 2024

Abstract
An electric vehicle (EV) system is a transportation solution that relies on electric propulsion rather than traditional internal combustion engines. Induction motors are well-suited for EVs, offering high torque at low speeds, ideal for city driving. To enhance the sustainability of the EV system, photovoltaic (PV) panels are integrated to directly power the induction motor using renewable solar energy. The PV panels' optimal sizing and placement are achieved through the modified sandpiper optimization (MSO) algorithm, maximizing their efficiency. Additionally, an improved competitive swarm optimization (ICSO) algorithm is employed to optimize power interfaces in the PV-powered EV system, addressing issues with traditional maximum power point tracking (MPPT) techniques. To facilitate bidirectional power flow and mitigate voltage unbalance, a bidirectional DC-DC converter is implemented. Through extensive simulation scenarios, the proposed induction motor-driven EV system is thoroughly validated and compared to state-of-the-art EV systems utilizing brushless DC (BLDC) motors. The comparative analysis assesses system efficiency, power output, torque characteristics, and overall performance, providing valuable insights into the suitability and advantages of using induction motors in EV systems. This research contributes to advancing sustainable and efficient EV technologies, offering a greener mode of transportation for a more environmentally friendly future.
Clinical outcomes of Human papillomavirus associated (HPVA) and non HPVA cervical adenocarcinoma: a minimum 3-year follow-up analysis
Authors: Wang Lufang , Tang Guiju , Chen Tianyi , Gao Yumei , Min Jie 
Published: February 2024

Abstract

Objective
The International Standard and Classification of Cervical Adenocarcinoma (IECC) classifies cervical adenocarcinoma into HPV related (HPVA) and non HPVA (NHPVA) types based on morphology. However, the differences and prognostic factors between the two types of cervical adenocarcinoma are still unclear. This study aims to evaluate the clinical pathological characteristics and prognostic factors of two groups at least 3 years of follow-up.
Methods
We included 147 patients diagnosed with cervical adenocarcinoma between 2012 and 2020. Using Wilcoxon rank sum test, χ² test or Fisher's exact test to compare clinical case characteristics between HPVA group and NHPVA group. Using Kaplan Meier and Cox regression to analysis the survival differences and prognostic factors between HPVA and NHPVA.
Results
The average age and lesion size of the NHPVA groups was older and larger than HPVA group (P = 0.0111, 0.038, respectively). Compared with the HPVA group, NHPVA has a later stage and is more prone to LVI, LNM and distant metastasis (P = 0.001,0.022,0.001 and 0.016 respectively). Compared with HPVA, NHPVA had poorer overall survival (OS) and progression free survival (PFS) (p < 0.001, p < 0001, respectively). Surgery can improve overall survival compared to radiotherapy and chemotherapy in both the HPVA and NHPVA groups (P = 0.028, 0.017, respectively). FIGO 2018 stage is the only factor that affects prognosis both in HPVA and NHPVA (P = 0.041 and 0.039 respectively).
Conclusions
Compared with HPVA, NHPVA has a worse prognosis. Whether for HPVA or NHPVA, surgery is a protective factor and the FIGO 2018 stage is the main factor affecting prognosis.
Comparison of percutaneous microwave/radiofrequency ablation liver partition and portal vein embolization versus transarterial chemoembolization and portal vein embolization for planned hepatectomy with insufficient future liver remnant
Authors: Ye Tai-Wei , Fu Tian-Wei , Du Cheng-Fei , Yue Ru-Chi , Jiang Qi-Tao , Zhong Zhi-Hang , Zhao Qin , Zhang Cheng-Wu , Liu Jie , Liu Jun-Wei , Luo Zu-Yan , Fan Xiao-Ming , Hong De-Fei , Cheng Jian , Xiao Zun-Qiang 
Published: February 2024

Abstract

Background
In China, both percutaneous microwave/radiofrequency ablation liver partition plus portal vein embolization (PALPP) and transarterial chemoembolization (TACE) plus portal vein embolization (PVE) have been utilized in planned hepatectomy. However, there is a lack of comparative studies on the effectiveness of these two techniques for cases with insufficient future liver remnant (FLR).
Methods
Patients were categorized into either the PALPP group or the TACE + PVE group. Clinical data, including FLR growth rate, complications, secondary resection rate, and overall survival rate, were compared and analyzed for both groups.
Results
Between December 2014 and October 2021, a total of 29 patients underwent TACE + PVE (n = 12) and PALPP (n = 17). In the TACE + PVE group, 7 patients successfully underwent two-stage hepatectomy, while in the PALPP group, 13 patients underwent the procedure (two-stage resection rate: 58.3% vs. 76.5%, P = 0.42). There were no significant differences in postoperative complications of one-stage procedures (17.6% vs. 8.3%, P = 0.62) and overall survival (14.0 months vs. 20.1 months, P = 0.85) between the TACE + PVE and PALPP groups. However, the PALPP group demonstrated a shorter time to FLR volume growth for second-stage resection (18.5 days vs. 66 days, P = 0.001) and a higher weekly rate of FLR volume growth (58.5 ml/week vs. 7.7 ml/week, P = 0.001).
Conclusions
Compared with TACE + PVE, PALPP results in a more significant increase in FLR volume and a higher rate of two-stage resection without increasing postoperative complications.
Construction and validation of a nomogram to predict mortality risk in HIV/AIDS patients undergoing maintenance hemodialysis
Authors: Xian Zhu-rui , Song Xiao-fei , Wang Yong-fu , Yang Ting-ting , Mao Nan 
Published: February 2024

Abstract

Objective: This study was aimed to explore the death risk factors in HIV/AIDS patients undergoing maintenance hemodialysis, and constructed a mortality prediction risk model.
Methods: In this study, we retrospectively collected clinical data of HIV/AIDS patients who received hemodialysis in Chengdu Public Health Clinical Medical Center between June 6,2017 and June 6,2023, and were divided into survival group and mortality group on the basis of the follow-up result. Besides, we separated all patients into training set, which was used for model construction, and validation set for model verification according to 8:2 ratio. The t-test, non-parametric test, chi-square test, fisher’s precise test and ROC analysis were used for variable selection, and the logistic regression analysis was used for exploring the relationship between variables and death. And then, we used the stepwise logistic regression to construct a mortality risk prediction model in HIV/AIDS patients undergoing maintenance hemodialysis, and next, we used R software to visualize the prediction model which called a nomogram. And last, ROC analysis, calibration curve and decision curve were used for model evaluation, and meanwhile, we used a independent internal validation set for model verification.
Result: In this study, we collected clinical data of 166 HIV/AIDS patients undergoing maintenance hemodialysis, including 123 patients in the training set(55 mortalities and 68 survivals)and 43 patients in the validation set(20mortalities and 23survivals). Stepwise Logistic regression showed that education level [OR(95%CI): 3.754 (1.247-11.300), p=0.019], dialysis age after diagnosis of HIV/AIDS [OR(95%CI):0.050 (0.013-0.187),p=0.000], creatine kinase isoenzyme (CK-MB)[OR(95%CI): 7.666 (2.237-26.271),p=0.001],neutrophil and lymphocyte counts ratio (NLR)[OR(95%CI):3.864 (1.266-11.795),p=0.018], magnesium (Mg2+)[OR(95%CI): 4.883 (1.479-16.118),p=0.009],HIV-RNA[OR(95%CI): 17.616 (3.797-81.721),p=0.000] were independent risk factors of HIV/AIDS patients undergoing hemodialysis, and afterwards, we constructed a nomogram based on the 6 independent risk factors. The AUC of the prediction model in ROC analysis was0.921 (95%CI 0.883~0.968), indicating that this nomogram had a good efficacy in predicting mortality. In addition, the calibration curve and decision curve both showed that the nomogram had good clinical application. Futhermore, there was a same result in the validation set.
Conclusion: In present study, the nomogram model had a good performance in predicting the mortality of HIV/AIDS patients undergoing maintenance hemodialysis, which is worth promoting in clinical practice.
Prepregnancy and prenatal risk factors for the neurodevelopmental delay of offspring: Machine learning analysis using national health insurance claims data
Authors: Yang Seung-Woo , Lee Kwang-Sig , Heo Ju Sun , Choi Eun-Saem , Kim Kyumin , Ahn Ki Hoon 
Published: February 2024

Abstract
Neurodevelopmental disorders (NDD) in offspring are associated with a complex combination of pre-and postnatal factors. This study uses machine learning and population data to evaluate the association between prepregnancy or prenatal predictors and the NDD of offspring for as more reflective of the real world. Population-based retrospective cohort data were obtained from Korea National Health Insurance Service claims data for 209,424 singleton offspring and their mothers who gave birth for the first time in 2007. The dependent variables were motor development disorder (MDD), cognitive development disorder (CDD) and combined overall neurodevelopmental disorder (NDD) from offspring. Seventeen independent variables from 2002–2007 were included. Random forest variable importance and Shapley Additive Explanation (SHAP) values were calculated to analyze the directions of its associations with the predictors. The random forest with oversampling registered much higher areas under the receiver-operating-characteristic curves than the logistic regression, 72% vs. 50% (MDD), 76% vs. 51% (CDD) and 68% vs. 50% (NDD). Based on random forest variable importance, low socioeconomic status and age at birth were highly ranked. In SHAP values, there was a positive association between NDD and pre- or perinatal outcomes, especially, fetal male sex with growth restriction associated the development of NDD in offspring.
Formulation and Evaluation of Phyllanthus Wightianus-Based Active Packaging Film for Meat Preservation
Authors: Xie Kangkang , Ahsan Samreen , Tariq Amna , Farooq Muhammad Adil , Mehmood Tariq , Liaqat Atif , Chughtai Muhammad Farhan Jahangir , Khaliq Adnan , Tanweer Saira , Zheng Shengle , Liu Huaxia 
Published: February 2024

Abstract

A biopolymer-based edible film was prepared using Phyllanthus wightianus to extend the shelf life of beef patties. For this purpose, the film was prepared by using polyvinyl alcohol (PVA, 5% W/V), carboxymethyl cellulose (CMC, 1% W/V), glycerol (0.1% V/V) as a plasticizer, flaxseed gel and P. wightianus extract @ 0, 1, 2 and 3% in various treatments. The film was analyzed at the interval of 0, 10, 20, and 30th days at 25°C for thickness, the film's opacity, degree of solubility and swelling, water vapor permeability, and Staphylococcus aureus and Escherichia coli antibacterial activity. After a month of storage study, the developed film was used to coat beef patties and analyzed for antioxidants, pH, peroxidation, and moisture. A total plate count test was performed for antimicrobial analysis, and beef patties were further evaluated for sensory evaluation parameters. The results showed that film has substantial antimicrobial potential suitable for longer storage and helpful in delaying the spoilage of beef patties by controlling lipid peroxidation and microbial growth of meat spoilage bacteria, especially S. aureus and E. coli. In conclusion, the films developed with 3% P. wightianus extract and flaxseed gel prolong the shelf life of beef patties throughout storage.
Accelerating Material Property Prediction using Generically Complete Isometry Invariants
Authors: Balasingham Jonathan , Zamaraev Viktor , Kurlin Vitaliy 
Published: February 2024

Abstract

Periodic material or crystal property prediction using machine learning has grown popular in recent years as it provides a computationally efficient replacement for classical simulation methods. A crucial first step for any of these algorithms is the representation used for a periodic crystal. While similar objects like molecules and proteins have a finite number of atoms and their representation can be built based upon a finite point cloud interpretation, periodic crystals are unbounded in size, making their representation more challenging. In the present work, we adapt the Pointwise Distance Distribution (PDD), a continuous and generically complete isometry invariant for periodic point sets, as a representation for our learning algorithm. The PDD distinguished all (more than 660 thousand) periodic crystals in the Cambridge Structural Database as purely periodic sets of points without atomic types. We develop a transformer model with a modified self-attention mechanism that combines PDD with compositional information via a spatial encoding method. This model is tested on the crystals of the Materials Project and Jarvis-DFT databases and shown to produce accuracy on par with state-of-the-art methods while being several times faster in both training and prediction time.
Influence of Frequency and Electric Field Strength on the Inactivation of Escherichia coli O157:H7 During the Ohmic Heating Processing of Pomelo Juice
Authors: Doan Nhu Khue , Lai Quoc Dat , Le Thi Kim Phung , Le Nhat Tam 
Published: February 2024

Abstract
The influence of frequency, electric field strength, and non-thermal effects during ohmic heating (OH) on the inactivation of Escherichia coli O157:H7 in pomelo juice was investigated. Pomelo juice was inoculated with a specific density of E. coli O157:H7 and then treated with OH at frequencies ranging from 50 Hz to 20 kHz and electric field strengths of 20, 30, and 40 V/cm. The results showed that 60 and 500 Hz were more effective in inactivating E. coli than other frequencies. As electric field strength increased, inactivation also increased. Transmission electron microscopy analysis revealed that the cell membrane of E. coli O157:H7 treated with OH underwent more pronounced changes than cells treated with conventional heating (CH). OH could inactivate E. coli O157:H7 at lower temperatures and in a shorter time than CH. These findings demonstrated the potential of OH for pasteurizing pomelo juice.