bluuebunny/crossref_metadata_2025_split huggingface dataset:
A novel plant-based food to make the benefits of the Mediterranean diet accessible to not adhering people
Authors: Polo Andrea , Calabrese Francesco Maria , Tlais Ali Zein Alabiden , Ferrocino Ilario , De Filippis Francesca , Celano Giuseppe , Vincentini Olimpia , Valentino Vincenzo , Bo' Cristian Del , Bo Simona , Cagno Raffaella , Cocolin Luca Simone , Ercolini Danilo , De Angelis Maria , Gobbetti Marco 
Published: December 2023

Abstract

Background The Mediterranean Diet (MD) tangibly impacts on human health, but the access to this virtuous dietary habit is difficult for a considerable part of the population. In response to this challenge, we selected ingredients with high content of bioactive components typical of MD, and designed and manufactured a MD-based food. Its effect on human gut microbiota, microbiome and metabolome was explored in comparison to placebo by feeding a Twin M-SHIME. The fecal donor used for the inoculation of the Twin M-SHIME was chosen within a cohort of individuals showing traits of low adherence to MD.Results The administration of MD-based food increased the abundance of numerous taxa, almost all having the potential to exert beneficial activities. Some detrimental taxa increased their abundances with the administration of the placebo but remained under control with MD-based food. The reshape of the microbiota reflected on microbiome changes. We observed increased abundances of genes responsible for colanic acid biosynthesis, a microbial metabolite implicated in longevity and healthy aging. The abundance of genes involved in L-valine pathway decreased, while the intake of MD-based food boosted the abundance of genes responsible for the carbohydrate metabolism. MD-based food temporarily increased the synthesis of SCFAs, which reflected the increased abundance of genes responsible for butyrate synthesis and fiber degradation. MD-based food modulated the synthesis of VOCs, with particular reference to esters derived from medium- and long-chain fatty acids, and polyunsaturated fatty acids.Conclusions Overall, the intake of this novel MD-based food in vitro orchestrated positive changes in the gut microbiota, microbiome, and metabolome, making possible for people who do not adhere to MD the opportunity to access dietary benefits.
Struggling with a cefazolin impregnation protocol of bone chips
Authors: Dendoncker Karen , Putzeys Guy , Nieuwenhuizen Tara , Voet Pauline , Lambrecht Stijn , Bertrand Manon , Valster Henriëtte , Croes Kathleen 
Published: December 2023

Abstract
Antibiotics released locally through a carrier is a commonly used technique to prevent infection in orthopaedic procedures. Antibiotic-impregnated bone chips are an interesting carrier in bone reconstructive surgery. Cefazolin is a potentially interesting antibiotic given its proven efficiency in preventing surgical site infection when administered systemically. Preliminary in vitro studies with fresh frozen or processed bone chips impregnated with cefazolin solution show a rapid complete release within a few hours, questioning its potential for local infection prophylaxis. On the other hand commercially available bone chips impregnated after purification using supercritical CO2 have been shown to be an efficient carrier for the antibiotics vancomycin or tobramycin. With this in vitro study we wanted to investigate whether this specific type of processing protocol would improve the release pattern of cefazolin. In addition we investigated the impact of the timing of impregnation during the different steps of the processing protocol on the release of cefazolin.
NeuroMorphNet: A Multiscale Convolutional Neural Network for High-Precision Brain Tumor Segmentation in 3D Medical Images
Authors: Guennich Ala , Othmani Mohamed , Ltifi Hela 
Published: December 2023

Abstract

The use of high-precision automatic algorithms to segment brain tumors offers the potential for improved disease diagnosis, treatment monitoring, as well as the possibility of large-scale pathological studies. In this study, we present a new 9-layer multiscale architecture dedicated to the semantic segmentation of 3D medical images, with a particular focus on brain tumor images, using convolutional neural networks. Our innovative solution draws inspiration from the Deepmedic architecture while incorporating significant enhancements. The use of variable-sized filters between layers and the early incorporation of residual connections from the very first layer greatly enhance the accuracy of 3D medical image segmentation. Additionally, the reduction in the number of layers in our dual-pathway network optimizes efficiency while maintaining exceptional performance. This combination of innovations, with Deepmedic as a starting point, positions our solution as a major advancement in the field of 3D medical image segmentation, offering an optimal balance between accuracy and efficiency for clinical applications.
Lessons Learned and First Results of the E-Band CubeSat EIVE
Authors: Koller Markus T. , Bötsch-Zavřel Lena , Eggert Marius , Fugmann Martin , Holeczek Cedric , Kranz Markus , Lengowski Michael , Löffler Thorben , Loidold Lukas-Maximilian , Maier Philipp , Meier Jakob , Mohr Ulrich , Müller Robin , Pahler Andreas , Pätschke Susann , Schweigert Robin , Starzmann Dominik , Steinert Michael , Zietz Martin , Haußmann Simon , Manoliu Laura , Schoch Benjamin , Tessmann Axel , Henneberger Ralf , Freese Jens , Steinmetz Fabian , Klinkner Sabine 
Published: December 2023

Abstract

The 6 Unit CubeSat EIVE was developed to to host a novel high-speed E-band transmitter payload. Challenging aspects for reliable and demanding satellite architectures were revealed during development and operations. Reliable communication buses such as CAN, RS485 or point-to-point links should be preferred over I2C or SPI. Experiences from the implementation of the individual subsystems are presented and lessons learned derived in this paper. The on-board data handling and communication system is based on a system-on-a-chip architecture and uses the CCSDS protocol via S-band. The FPGA section proved advantageous while the use of high-priority commands is essential for in-orbit debugging. The conservative approach to the design of the power system and the high effort to test the thermal design of the EIVE CubeSat led to a stable satellite regarding the power-budget and temperature ranges. The self-developed solar panels and their deployment mechanism worked as intended with many lessons learned in the process. A major part of the time spent on integration was on the harness. The attitude control system is based on self-developed components and commercially acquired units. With most of the attitude control components being tested and calibrated on a best effort basis, more resources should have been committed to testing the GNSS receivers and the star tracker on ground. A stable safe mode was achieved after multiple bugs fixes in the first weeks after the launch. Since then, steady progress towards nominal operation has been achieved.
Applicability of the Adjusted Morbidity Groups algorithm for healthcare programming: results of a pilot study in Italy.
Authors: Papa Roberta , Balducci Francesco , Franceschini Giulia , Pompili Marco , De Marco Marco , Roca Josep , González-Colom Rubèn , Monterde David 
Published: December 2023

Abstract

Background: Population-based Health Risk Assessment (HRA) tools are strategic for the implementation of integrated care. Various HRA algorithms have been developed in the last decades worldwide. Their full adoption being limited by technical, functional, and economical factors. This study aims to apply the Adjusted Morbidity Groups (AMG) algorithm in the context of an Italian Region, and evaluate its performance to support decision-making processes in healthcare programming.
Methods: The pilot study used five Healthcare Administrative Databases (HADs) covering the period 2015-2021. An iterative semi-automated procedure was developed to extract, filter, check and merge the data. A technical manual was developed to describe the process, designed to be standardized, reproducible and transferable. AMG algorithm was applied and descriptive analysis performed. A dashboard structure was developed to exploit the results of the tool.
Results: AMG produced information on the health status of Marche citizens, highlighting the presence of chronic conditions from age 45 years. Persons with high and very high level of complexity showed elevated mortality rates and an increased use of healthcare resources. A visualization dashboard was intended to provide to relevant stakeholders accessible, updated and ready-to-use aggregated information on the health status of citizens and additional insight on the use of the healthcare services and resources by specific groups of citizens.
Conclusion. The flexibility of the AMG, together with its ability to support policymakers and clinical sector, could favour its implementation in different scenarios across Europe. A clear strategy for the adoption of HRA tools and related key elements and lessons learnt for a successful transferability at the EU level were defined. HRA strategies should be considered a pillar of healthcare policies and programming to achieve person-centred care and promote the sustainability of the EU healthcare systems.
Computational identification of potential modulators of heme-regulated inhibitor (HRI) for pharmacological intervention against sickle cell disease
Authors: Owoloye Afolabi J. , Olubode Samuel O. , Ogunleye Adewale , Idowu Emmanuel T. , Oyebola Kolapo M. 
Published: December 2023

Abstract

Background Sickle cell disease (SCD) poses a significant health challenge and therapeutic approaches often target fetal hemoglobin (HbF) to ameliorate symptoms. Hydroxyurea, a current therapeutic option for SCD, has shown efficacy in increasing HbF levels. However, concerns about myelosuppression and thrombocytopenia necessitate the exploration of alternative compounds. Heme-regulated inhibitor (HRI) presents a promising target for pharmacological intervention in SCD due to its association with HbF modulation. This study systematically screened compounds for their potential inhibitory functions against HRI. Methods Small-molecule compounds from 17 plants commonly utilized in traditional SCD management were subjected toin silicoscreening against HRI. Molecular docking was performed, and free binding energy calculations were determined using molecular mechanics with generalized born and surface area (MMGBSA). The lead compounds were subjected to molecular dynamics simulation at 100 ns. Computational quantum mechanical modelling of the lead compounds was subsequently performed. We further examined the pharmacodynamics, pharmacokinetic and physiological properties of the identified compounds. Results Five potential HRI inhibitors, including kaempferol-3-(2G-glucosyrutinoside), epigallocatechin gallate, tiliroside, myricetin-3-O-glucoside, and cannabiscitrin, with respective docking scores of -16.0, -12.17, -11.37, -11.56 and 11.07 kcal/mol, were identified. The MMGBSA analysis of the complexes yielded free-binding energies of -69.76, -71.17, -60.44, 53.55, and − 55 kcal/mol, respectively. The identified leads were stable within HRI binding pocket for the duration of 100 ns simulation. Conclusions The study successfully identified five phytoligands with potential inhibitory effects on HRI, opening avenues for their use as modulators of HbF in SCD patients. This finding holds promise for advancing treatment strategies in SCD. However, additional preclinical analyses are warranted to validate the chemotherapeutic properties of the lead compounds.
The effect of vermicompost and K+amino on the winter rape growth
Authors: Olle Margit 
Published: December 2023

Vermicompost contains a high concentration of macro- and micronutrients, vitamins, growth hormones, enzymes such as proteases, amylases, lipases, cellulases, and chitinases, as well as immobilized microflora. Vermicompost improves plant germination, growth, biomass, and yield. K+amino is a biologically active liquid soil amendment that is suitable for organic gardens of all types. It is a 100 % veganic growth- and health-promoting liquid microbial inoculant for all plant types, particularly fast-growing crops like vegetables, fruits, and blooms. The purpose of investigation was to look the effect of vermicompost and k+amino on the winter rape germination and growth. Methods: There were six treatments: 1. A rape (means a rape crop in Aru Agricultural Ltd. soil), 2. A rape+YaraBela AXAN 0.3g per pot, 3. A rape+vermicompost 7.9 g per pot in the soil+the vermiextract is sprayed on the plants 1 week after sowing, 2 weeks after sowing, both treatments 1:30, 33 ml extract per 1 L water, 4. A rape+vermicompost 7.9 g per pot in the soil, 5. A rape+vermiextract is sprayed on the plants 1 week after sowing, 2 weeks after sowing, both treatments 1:30, 33 ml extract per 1 L water, 6. A rape+K+Amino biostimulator is sprayed on the plants 1 week after sowing, 2 weeks after sowing, both treatments 5 ml K+Amino per 1 L water. Results: Rape plants were elongated in treatment with YaraBela AXAN. Stem diameter was largest in K+Amino treatment. Root length was lowest in treatment with vermicompst extract (soil was too moisty and compacted). Conclusions: Vermicompost tended to improve plant growth, while stem diameter was largely increased by using k+amino fertilizer. It turns out both actually are good sources of mineral nutrients and also different enzymes and microbes, which help plants grow
Improving the forecasting accuracy of monthly runoff time series of the Brahmani River in India using a hybrid deep learning model
Authors: Swagatika Sonali , Paul Jagadish Chandra , Sahoo Bibhuti Bhusan , Gupta Sushindra Kumar , Singh P. K. 
Published: December 2023

Abstract
Accurate prediction of monthly runoff is critical for effective water resource management and flood forecasting in river basins. In this study, we developed a hybrid deep learning (DL) model, Fourier transform long short-term memory (FT-LSTM), to improve the prediction accuracy of monthly discharge time series in the Brahmani river basin at Jenapur station. We compare the performance of FT-LSTM with three popular DL models: LSTM, recurrent neutral network, and gated recurrent unit, considering different lag periods (1, 3, 6, and 12). The lag period, representing the interval between the observed data points and the predicted data points, is crucial for capturing the temporal relationships and identifying patterns within the hydrological data. The results of this study show that the FT-LSTM model consistently outperforms other models across all lag periods in terms of error metrics. Furthermore, the FT-LSTM model demonstrates higher Nash–Sutcliffe efficiency and R2 values, indicating a better fit between predicted and actual runoff values. This work contributes to the growing field of hybrid DL models for hydrological forecasting. The FT-LSTM model proves effective in improving the accuracy of monthly runoff forecasts and offers a promising solution for water resource management and river basin decision-making processes.
Tree dieback and subsequent changes in water quality accelerated the climate-related warming of a central European forest lake
Authors: Kopáček Jiří , Grill Stanislav , Hejzlar Josef , Porcal Petr , Turek Jan 
Published: December 2023

Abstract

The water temperature of many lakes has recently risen as a result of climate change. We evaluated trends in the cloudiness, solar radiation, wind, air and water temperatures, ice cover, thermocline depth, transparency, and composition of two Bohemian Forest lakes (Czech Republic) from 1998 to 2022. Lake water temperatures increased by 0.32–0.47 °C decade−1, and the ice cover periods decreased by 11.7–14.8 days decade−1. These changes were mostly associated with increasing air temperatures during most months and increasing solar radiation (due to decreasing cloudiness) especially in March and November (the months preceding ice-on/off). Decreasing snow cover in winter (by 3.8 cm decade−1) further accelerated the earlier ice melt. The number of days with water temperature ≥4 °C increased similarly in both lakes by 12–13 days decade−1. However, the number of days with water temperature ≥20 °C increased and the depth of the summer thermocline decreased more in the lake with tree dieback in its catchment. Tree dieback accelerated the leaching of organic carbon and phosphorus, increasing water brownification, algal production, and decreasing water transparency. Solar radiation was absorbed in shallower water layers. Changes in catchment forest thus contributed to the variability in the response of lake water temperatures to climate change.
Impacts of hydroclimate change on climate-resilient agriculture at the river basin management
Authors: Singha Chiranjit , Sahoo Satiprasad , Govind Ajit , Pradhan Biswajeet , Alrawashdeh Shatha , Hamdi Aljohani Taghreed , Almohamad Hussein , Md Towfiqul Islam Abu Reza , Abdo Hazem Ghassan 
Published: December 2023

Abstract

This paper focuses on exploring the potential of Climate resilient agriculture (CRA) for river basin-scale management. Our analysis is based on long-term historical and future climate and hydrological datasets within a GIS environment, focusing on the Ajoy River basin in West Bengal, Eastern India. The standardized anomaly index (SAI) and slope of the linear regression (SLR) methods were employed to analyse the spatial pattern of the climate variables (precipitation, Tmax and Tmin) and hydrological variables (actual evapotranspiration (AET), runoff (Q), vapor pressure deficit (VPD), potential evapotranspiration (PET), and climate water deficit (DEF)) using the TerraClimate dataset spanning from 1958 to 2020. Future climate trend analysis spanning 2021 to 2050 was conducted using the CMIP6 based GCMs (MIROC6 and EC-Earth3) dataset under shared socio-economic pathway (SSP2-4.5, SSP5-8.5 and historical). For spatiotemporal water storage analysis, we relied on Gravity Recovery and Climate Experiment (GRACE) from the Center for Space Research (CSR) and the Jet Propulsion Laboratory (JPL) data, covering the period from 2002 to 2021. Validation was performed using regional groundwater level data, employing various machine learning classification models. Our findings revealed a negative precipitation trend (approximately −0.04 mm/year) in the southern part, whereas the northern part exhibited a positive trend (approximately 0.10 mm/year).
Highly Efficient Bimetallic Catalyst for the Synthesis of N-substituted
Decahydroacridine-1,8-diones and Xanthene-1,8-diones: Evaluation of their
Biological Activity
Authors: Atkore Sandeep T. , Raithak Pranita V. , Vijay Kotra , Ansari Siddique A. , Ansari Irfan A. , Varala Ravi 
Published: December 2023

Background:
Bimetallic catalysis plays a major role in boosting the catalytic performance of monometallic counterparts due to the synergetic effect.

Method and Materials:
In the present study, we have exploited ZrCl4:Mg(ClO4)2 as an efficient
bimetallic catalyst for the synthesis of a few biologically relevant N-substituted decahydroacridine-1,8-diones and xanthene-1,8-diones under solvent-free conditions. The complete characterization data (XRD, SEM, BET, pH, TGA, and IR) of the bimetallic catalyst, ZrCl4:
Mg(ClO4)2, are provided in the supporting information.

Results:
Among the compounds screened for anti-oxidant and anti-microbial activities, the acridine derivatives with chloro and fluoro substitutions (compounds 4b, 4c, 4d, and 4j) have exhibited potent activities when compared to other compounds. Among the xanthene derivatives
screened for anti-oxidant activity, compounds 5c, 5i, and 5j with chloro and nitro derivatives
exhibited potent antioxidant activity, and the rest all showed moderately potent activity.

Conclusion:
Among the compounds screened for antibacterial activity, compound 5j with
chloro substitution showed potent activity, followed by compounds 5c, 5d, 5h, and 5i against
Gram +ve bacteria, and compounds 5h, 5f, and 5g with N,N-dimethyl, methoxy and hydroxy
substitutions have shown potent activity against Gram -ve bacteria.
Comparison of the Effects of Govarcin Herbal Capsule and
Metoclopramide for Alleviating Gastrointestinal Symptoms in Patients
with Functional Dyspepsia: A Randomized Double-blind Clinical Trial
Authors: Asghari Majid , Ahmadpour Sajjad , Molazadeh Mikaeil , Jafari Mohammad Mehdi , Hormati Ahmad , Pashaei Mohammad Reza , Mohammadpour Yousef , Habibi Mohammad Amin , Mohammadbeigi Abolfazl , Hoseini Seyed Mahmoud Eshagh 
Published: December 2023

Background:
Functional dyspepsia (FD) is felt as a discomfort or pain on the center line or upper abdomen. In this study, we aimed to compare the effects of Govarcin herbal capsule and Metoclopramide for alleviating gastrointestinal symptoms in patients with FD.

Methods:
Totally, 106 patients enrolled in a double-blind, clinical trial study. The participants had FD and were divided into two groups receiving Govarcin and Metoclopramide by block randomization. The patients were treated for four weeks, taking one Govarcin capsule or Metoclopramide tablet after each meal. The rate of improvement in patients was assessed by mitigation of clinical symptoms, including epigastric pain, fullness, discomfort, nausea, vomiting and heartburn. Also, before and after intervention, we used Nepin questionnaire and ROME III. SPSS statistics 25 software was used for data analyzing.

Results:
Clinical symptom score changes between Govarcin and Metoclopramide patients’ groups showed that there was no significant difference in any of the clinical symptom scores (except for heartburn, p-value=0.012) between the study groups. Nepean score in Govarcin group before and after treatment were 19.3±4.8 and 8.9±2.8, respectively (p-value<0.001). For Metoclopramide group, these values were 19.8±3.5 and 9.4±2.1 respectively (p-value<0.001). No significant difference was found in terms of Nepean score between the Govarcin and Metoclopramide groups (p-value=0.995).

Conclusion:
Govarcin herbal capsule can be used to remedy symptoms in patients with FD. It seems that Govarcin is as effective as Metoclopramide in fighting symptoms of FD as no significant difference in efficacy has been demonstrated between them.