bluuebunny/crossref_metadata_2025_split huggingface dataset:
A cohort study of transjugular intrahepatic portal systemic shunt in portal hypertension in cirrhosis
Authors: fan Wu Yi , Ding H , Zhang Ke , Wang Lei , Yue Zhendong , Fan Zhenhua , Dong Chengbin , Zhang Yu , Li Qi mei , Liu Fuquan 
Published: April 2024

Abstract

Background
TIPS can effectively reduce the portal pressure, alleviate clinical symptoms, PPG for the portal pressure gradient, studies show that for patients with esophageal and gastric varices rupture bleeding, postoperative PPG maintenance at 6-12mmHg is best, but these studies are for Europe and the United States population, for Asian portal hypertension with refractory ascites, what level of postoperative PPG is reasonable, there is no clear study., Therefore, we conducted this study.
Methods
This is a retrospective study of patients who received TIPS at multiple tertiary centers. Patients were recruited from January 2014 to December 2018 at Beijing Shijitan Hospital of Capital Medical University, PLA General Hospital and You'an Hospital affiliated to Capital Medical University. In this study, a total of 147 patients with cirrhosis with refractory ascites received TIPS. According to the postoperative PPG value of the enrolled patients, they were divided into three parts according to the order of small to large, and then the enrolled patients were divided into three groups: first group: 5mmHg < PPG < 12mmHg; second group: 13mmHg < PPG < 20mmHg; and third group: 21mmHg < PPG < 28mmHg. Statistical differences between the three groups in 5-year survival rate, the incidence of postoperative hepatic encephalopathy and postoperative ascites recurrence rate were calculated for the three groups. The 5-year survival rate of the three groups was 58.1%, 30%, and 22.2% (P = 0.002), among the three groups. The incidence of ascites recurrence in the three groups was 20.3%, 43.3% and 44.4% (P = 0.012), respectively, among the three groups. The incidence of hepatic encephalopathy in the three groups was 31.1%, 16.7% and 0% (P = 0.034), respectively, among the three groups.
Result
For patients with refractory ascites, postoperative maintenance of PPG in between 5 and 12mmHg can reduce the probability of postoperative hepatic encephalopathy and ascites recurrence, which has a good clinical guidance significance.
Complexity indexes from instrumented timed-up-and-go test reveal depression-related movement differences
Authors: Fransvea Giulia , Patron Elisabetta , Vendrame Eleonora , Truppa Luigi , Mura Francesca , Cipriani Christian , Gentili Claudio , Mannini Andrea 
Published: April 2024

Abstract

Major Depressive Disorder (MDD) is one of the most common psychological disorders. The multiplicity of its clinical patterns, the varieties of symptoms and the different types of clinical evolution generate many diagnostic difficulties. Currently, MDD assessment is performed through the use of assessment scales and interviews with the patient. This highlights the need to adopt methods that can make an objective, rapid and effective diagnosis. Mental disorders and embodiment can alter the brain processes that are related to cognition and therefore to the motor system. As a result, movement analysis by means of wearable sensors is attracting the attention of clinicians as it represents a solution that can be quickly translated into ecological environments. In this study we explored the potential of an instrumented movement assessment, targeting the long-term goal of self-administered assessment in ecological settings. Using 4 inertial measurement units (IMUs), we tested parameters that could be predictive of pathology during a timed up and go test. By means of age/sex adjusted logistic regression we identified instrumental parameters significantly discriminating MDD patients and controls. Building on earlier findings in literature for pathology recognition in movement, a particular attention was devoted to parameters concerning movement complexity evaluated by multiscale entropy analysis of signals. Our tests confirmed that complexity parameters can significantly discriminate between patients and controls (Nagelkerke’s R2 = 0.523).
Seed Priming With Anabaena Minutissima Extract Ameliorates the Stress Response of Tomato Plantlets to Soilborne Pathogens
Authors: Righini Hillary , Galletti Stefania , Cianchetta Stefano , Quintana Antera Martel , Francioso Ornella , Roberti Roberta 
Published: April 2024

Abstract
This study assessed the effectiveness of the treatment of tomato seeds with an aqueous extract of the dried biomass of the microalgae Anabaena minutissima in protecting the plants from diseases caused by soilborne pathogens like Rhizoctonia solani and Pythium ultimum. The extract, obtained by an autoclave-assisted method at 100°C, was rich in proteins and carbohydrates (56.6 and 26.9% of total solids). Preliminary tests were performed revealing: i) a moderate direct activity toward pathogen in vitro growth, with ± 9% stimulation/inhibition, depending on the pathogen; ii) a stimulatory/inhibitory activity toward seedling growth, depending on the dose; iii) no effect on the mycelial growth by root exudates of treated plantlets. Then, a greenhouse experiment was set up to test the response of tomato plants in substrates artificially inoculated with the single pathogens, after seed treatment with the extract at different doses (0, 2.5, 5, and 10 mg mL− 1). The treatment generally increased the percentage of standing plants and restored plant development up to the level of healthy controls. Moreover, the disease incidence and severity progressively reduced at increasing doses. Finally, the seed treatment significantly increased some markers of induced systemic resistance like endochitinase and glucanase activity, in hypocotyls of 14-day-old seedlings, compared to non-treated controls. Besides, the treatment increased epicotyls’ carotenoid and chlorophyll a and b content. Overall, these results demonstrate that seed priming with A. minutissima aqueous extract is a promising eco-friendly tool to ameliorate tomato plant responses towards soilborne pathogens, stimulating plant growth and activating induced resistance mechanisms.
Combating fall armyworm (Spodoptera frugiperda) with moringa-synthesized silica nanoparticles and its combination with some insecticides
Authors: Elnabi Amany Abd , Badawy Mohamed E. I. 
Published: April 2024

Abstract
The fall armyworm (Spodoptera frugiperda) is a major agricultural pest known for developing resistance to insecticides. This study investigated a novel approach to manage the fall armyworm by silica nanoparticles (SiNPs) synthesized from eco-friendly Moringa oleifera leaf extract. This green synthesis method offers a sustainable and potentially safer alternative to traditional chemical processes. SiNPs formation was confirmed by various techniques: UV–visible spectrophotometer, X-ray spectroscopy with energy dispersive (EDX), scanning electron microscopy (SEM), and dynamic light scattering (DLS). The effectiveness of SiNPs alone and its combination with three common insecticides (emamectin benzoate, indoxacarb, and chlorpyrifos) were evaluated against third instar larvae of fall armyworm. While, SiNPs after 24 h by leaf dipping method recorded limited insecticidal activity (LC50 = 9947.59 mg/L), it significantly enhanced the potency of all three insecticides. Combining SiNPs with emamectin benzoate resulted in the most dramatic increase in effectiveness compared to the insecticide alone with LC50 = 0.295 mg/L and 0.42 mg/L, respectively. This research suggests that moringa extract can be a valuable resource for the green synthesis of nanoparticles potentially useful in pest control. This approach could potentially reduce the amount of insecticide needed for effective pest control, leading to a more sustainable and environmentally friendly agricultural practice.
Role of projectile ion mass in vacancy formation on muscovite mica
Authors: Mukherjee Joy , Bhowmick Sudip 
Published: April 2024

Abstract

This article investigates the impact of energetic projectile ion mass on defect/vacancy formation on muscovite mica. Utilizing low-energy bombardment (10 keV), the effects of two different projectile ions (Ar+, O+) irradiation on multi-elemental muscovite mica under normal and grazing incidence conditions, are examined theoretically. The findings reveal varying amounts of vacancy formation in the constituent elements of mica, with heavier Ar-ions inducing the maximum vacancy production compared to oxygen ions, owing to the greater energy available (Tdam) for vacancy formation. Despite of a similar energy transfer by each ion, the resulting damage and vacancy production differ across ions, is investigated here. Additionally, a shift in the ion distribution profile towards deeper penetration depths compared to the energy distribution profile (Bragg's peak), for different ions is observed for two different incidence angles. The qualitative explanation for vacancy formation and its dependence on projectile mass, is elucidated using the NRT displacement model and Monte Carlo simulations (SRIM) simulations. This study provides insights into the intricate interplay between projectile mass, energy transfer by projectile ions, and vacancy formation on muscovite mica.
Green Synthesis of Silver Nanoparticles Using Fruits Extract of Momordica dioica and studied Its Antioxidant and Antimicrobial Activity
Authors: Dakhure V. K. , sangvikar R. V. , Zate M. K. , Gachande B. D. 
Published: April 2024

Abstract
In the present study, the AgNPs were Biosynthesized by green method using Momordica dioica plant fruit extract. The synthesis of AgNPs from M. dioica fruits has more advantages such as its eco-friendly; high yield and capability for pharmaceutical and other biomedical applications. For the reduction of AgNO3, fruit extract of M. dioica is used as a reducing agent. The AgNPs were confirmed by biophysical methods such as UV-visible spectroscopy, FTIR, X-ray diffraction analysis, and scanning electron microscopy. Biosynthesized AgNPs showed good antioxidant Activity and also showed good antimicrobial activity against some selected microorganisms. Bioconversion of AgNPs by M. dioica plant extract could be employed as a potential antibacterial source to eliminate pathogenic microorganisms from the agricultural and food preservation industry.
Identification of a disseminated rhino­orbital­cerebral mucormycosis in mixed phenotype acute leukemia with Philadelphia chromosome positive
Authors: Liu Ze-Fa , Wang Zheng , Zhang Rui-Yi , Wen LiJun , Zhou Yao , Chen BaoAn 
Published: April 2024

Abstract
Mucormycosis (zygomycosis) is a globally invasive fungal infection that rarely occurs in immunocompetent but frequently in immunocompromised patients and is associated with high morbidity and mortality. The biopsy is the preferred method of diagnosis but may not be an option in the early course of the disease, resulting in delayed diagnosis and increased mortality. Herein, we presented a case of disseminated rhino­orbital-cerebral mucormycosis (ROCM) in mixed phenotype acute leukemia (MPAL) with Philadelphia (ph) chromosome positive and shared the therapy to it.
Monitoring Intrarenal Temperature Changes During Ho:YAG Laser Lithotripsy in Patients Undergoing Retrograde Intrarenal Surgery: A Novel Clinical Study
Authors: Kose Ertugrul , Bostanci Yakup , Gulsen Murat , Sahin Fevzi , Kalayci Onur , Ozden Ender , Yakupoglu Yarkin Kamil , Sarikaya Saban 
Published: April 2024

Abstract
Ho:YAG laser lithotripsy is a widely used technique for treating urinary stones, but concerns persist regarding its thermal effects on renal tissues. This study aimed to monitor intrarenal temperature changes during kidney stone treatment using retrograde intrarenal surgery with Ho:YAG laser. Fifteen patients were enrolled. Various laser power settings (0.8 J/10 Hz, 1.2 J/12 Hz) and irrigation modes (10 cc/min, 15 cc/min, 20 cc/min, gravity irrigation, and manual pump irrigation) were used. Temperature changes were recorded with a T-type thermal probe with ± 0.1°C accuracy. The laser power had the most significant effect on the mean temperature, with the mean temperature being 4.981°C higher for the 14 W laser power than for the 8 W laser power (p < 0.001). The mean temperature was 2.075°C higher in the gravity irrigation model and 2.828°C lower in the manual pump irrigation model (p = 0.038 and p = 0.005, respectively). Body mass index, laser power, irrigation model and operator duty cycle explained approximately 49.5% of the mean temperature (Adj. R2 = 0.495). Results revealed that laser power and operator duty cycle positively impacted mean temperature, suggesting that higher settings and longer activation periods led to increased temperature. Conversely, increases in body mass index and utilization of certain irrigation models were associated with decreased mean temperature. Laser power and irrigation rate are critical determinants of intrarenal temperature during Ho:YAG laser lithotripsy. Optimal settings and irrigation strategies are essential for minimizing thermal injury risk. This study highlights the importance of ongoing research to better understand and mitigate thermal effects during laser lithotripsy.
Decoding City Shields: TOPSIS Assessment of Urban Anti-Epidemic Resilience
Authors: Tian Bingwei , Chen Jiahao , Wang Ling , Basanta Raj Adhikari 
Published: April 2024

Abstract

The understanding of public health condition is important for the community resilience. The evaluation of public health resilience provides crucial information for urban planning. To estimate the susceptibility and recuperability of epidemic, the urban anti-epidemic resilience indicator system which consists of three categories of risk, repression, and adaptability is constructed by models which are established to estimate the mobility and concentration of population and the accessibility of medical resources. After collecting and reprocessing data with Geographic Information System (GIS) of 30 cities of China, through Weighing-TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), resilience level of objects is obtained. Results show an overall anti-epidemic resilience situation is controlled by population mobility, population aggregation, health resource, governance, and socioeconomics, which could assist in urban design and pandemic response.
Characteristics and Clinical Outcomes Associated with Appendix Location in Children with Acute Appendicitis
Authors: Echeverry Jhon M. Escobar , Valero Juan J. , Alfonso Natalia Guzmán , Fierro Fernando , Molina Iván D. 
Published: April 2024

Abstract

PURPOSE
To categorize appendix location with a modified classification and describe the outcomes associated to each location.
METHODS
Prospective observational cohort study of children who underwent laparoscopic appendectomy in a reference children’s hospital; the diagnosis of acute appendicitis (AA) was confirmed by the pathology department and clinical history data were taken. The location of the appendix was classified as retrocecal (RA), pelvic (PEA), right Iliac fossa (RIF) and an intraoperative photograph was taken for confirmation.
RESULTS
The location of the appendix was divided in three groups (RIF 42%, PEA 33%, RA 25%). Significant differences were found in time of symptom onset (RA > 48 hours in 54.5% of patients p: 0.001) and in the ultrasound diagnosis of appendicitis (RIF 49.3%, RA 25.9%, PEA 24.6% p: 0.01). The primary outcome assessed was appendix perforation, also with significant differences between appendix locations (average 37.8%, PEA 46% p: 0.001).
CONCLUSION
The classification of the location of the appendix in RIF, PEA and RA is clear, simple, and reproducible, being RIF the most frequent location. The pelvic localization was associated with the presence of perforation, possibly because signs of peritoneal irritation are less common in these children, and it was less visualized on ultrasound.
Paediatric cervicofacial lymphadenitis caused by non-tuberculous mycobacteria: nation- wide overview in the period 2000-2020
Authors: Sodja Eva , Šivic Urška , Truden Sara , Klemen Špela , Žolnir-Dovč Manca 
Published: April 2024

Abstract
Purpose
Cervicofacial lymphadenitis caused by non-tuberculous mycobacteria (NTM) is a rare but increasing infection in children worldwide. The purpose of this study was to analyse and evaluate all microbiologically proven cases of NTM lymphadenitis in children under the age 14 years and to discuss possible reasons why there is no Mycobacterium haemophilum isolates among cases of paediatric NTM lymphadenitis in Slovenia.
Methods
Between 2000 and 2020, we retrospectively reviewed laboratory and medical records for some basic demographic and microbiological data. Different clinical samples were collected in medical centres and regional hospitals from all over Slovenia.
Results
In the period before mandatory BCG vaccination was discontinued (2000–2005), we did not observe any case of paediatric NTM lymphadenitis. After discontinuation of non-selective BCG vaccination of new-borns (2006–2020), we identified 55 cases of microbiologically confirmed NTM lymphadenitis in BCG-unvaccinated children with median age 26.0 months (range: 15.0–75.0 months). Mean annual incidence of paediatric NTM lymphadenitis accounted for 1.26 (range: 0.35–2.38) per 100,000 children. The main causative agents were Mycobacterium avium (38/55; 69.1%) and M. intracellulare (9/55; 16.4%). We did not find any M. haemophilum isolate. Since 2006, each year we microbiologically confirm sporadic cases of paediatric NTM lymphadenitis, a condition not diagnosed before.
Conclusions
Strong evidence suggests that the main reason for that is discontinuation of universal BCG vaccination in March 2005. Nevertheless, we could not neglect the effect of improved diagnostic procedures used in recognizing NTM as causative agents of paediatric lymphadenitis.
Production and consumption planning of drilling rig based on hybrid energy and energy storage system
Authors: gholami Ali , Namdari Farhad , Shakarami Mahmoud Reza , Doostizadeh Meysam 
Published: April 2024

Abstract
This study explores microgrid scheduling for drilling operations using hybrid energy, with a focus on managing an energy storage system (ESS) and utilizing a diesel generator for backup. The optimization process encompasses backup from the diesel generator, renewable energy integration, energy storage utilization, and network load management involving various equipment. MATLAB software was employed for simulation and analysis. The research underscores the significance of energy storage in managing peak workloads, devising backup generator schedules, and regulating loads to explore potential economic advantages like fuel savings through hybrid energy and battery storage supported by the diesel generator. It assesses production power, cost savings, pollution mitigation, and enhancement of power quality. The test duration spans approximately one working month of the drilling machine at 24-hour intervals and extends to cover the entire drilling operation period. The proposed ESS system for a land rig is projected to slash CO2 emissions by roughly 5000 tons throughout its operational lifespan. Furthermore, it indicates a potential 22% decrease in fuel energy consumption compared to current plant management practices.
Novel precise separation technology will significantly improve the circulation of critical metals in automotive lithium-ion batteries
Authors: Dou Yi , Heiho Aya , Tokoro Chiharu , Kikuchi Yasunori 
Published: April 2024

Abstract
Recently, large-scale projects using pyro/hydrometallurgy have been introduced worldwide for recycling spent automotive lithium-ion batteries (LIBs), while a few precise separation methods are under development to support a faster, complete, eco extraction of positive electrode active materials. However, the extent to which the precise separation impacts the whole recycling system and the requirement for co-ordinated policy and system design remains poorly understood. Here, we develop an integrated assessment model with technical and policy scenarios that applies a novel precise separation method named high-voltage pulsed discharge to the emerging Japanese electric vehicles market during 2025–2050. We show that the precise separation can be a must-have process that may significantly reduce the life-cycle greenhouse gas emissions, the resource consumption potential and the in-use stocks of critical metals (Li, Ni, Co, Mn) compared with the conventional technology combination. To achieve this condition, combined efforts from technology development, system integration, secondary usage regulation and eco-design in LIBs are required.
Forecasting Exchange Rate Depending On The Data Volatility: A Comparison Of Deep Learning Techniques
Authors: Sönmez Filiz Erataş , Birim Şule Öztürk 
Published: April 2024

Abstract
The prediction of the foreign exchange rate is critical for decision makers since international trade is a vital task, and an accurate prediction enables effective planning of the future. To model the exchange rate behavior over time, a deep learning methodology is used in this study. Deep learning techniques can uncover indeterminate complex structures in a dataset with multiple processing layers. Traditional artificial neural networks (ANNs) do not consider the time dependence between data points in time series data. To overcome this problem, deep learning tools, such as recurrent neural networks (RNNs), consider long-term time dependency in the data. In this study, among the types of RNNs, long short-term memory (LSTM), bidirectional LSTM, and gated recurrent units (GRUs) are used to predict time series data of USD/TRY and EUR/TRY. This prediction is conducted for three different periods in the last 11 years in Turkey. One period includes near-steady data, and two periods have volatile exchange rate data. The prediction performance of the models is evaluated based on the mean absolute error (MAE), root square error (RMSE), and mean absolute percentage error (MAPE) metrics. After the comparison of different models, the bi-LSTM and GRU models are found to yield the most accurate predictions in volatile periods, depending on the nature of the volatility. This study proposes new models for exchange rate estimation and compares the performance of each model based on the volatility of the data.