bluuebunny/crossref_metadata_2025 huggingface dataset:
Biochar Enhances Paddy Productivity, Carbon Sequestration, and Reduces Greenhouse Gas Emissions in the Middle Yangtze River Region
Authors: Wang He , Dong Wei , Shao Dongguo , Liu Luguang , Liao Bin , Gu Wenquan , Tang Chi , Liu Jie , Hu Wentong , Feng Jinping , Huang Jie
Published: December 2024

Biochar’s benign effects on agricultural production have been demonstrated. Still, no consistent conclusions have been drawn on the impact of biochar-amended paddy fields on carbon sequestration, gas emission reduction, and efficiency enhancement in typical cropping areas in the middle Yangtze River. A field experiment using five dosages of biochar (CK, BC1.5, BC3, BC4.5, and BC6) at 0, 1.5, 3, 4.5, and 6 kg·m−2 was conducted at the Hubei Irrigation Experiment Center Station, Jingmen City, Hubei Province, China, to investigate the effects of biochar on carbon sequestration, greenhouse gas emissions, and agricultural efficiency in paddy in the middle Yangtze River Region. This study showed that the optimal biochar dosage was 4.5 kg·m−2 (BC4.5). Biochar significantly improved soil properties, increased rice yield by 26.4–61.4%, and enhanced water use efficiency (WUE) and economic profit (EP) by 32.0–83.7% and −8.0–48.6%, respectively. Biochar increased soil carbon sequestration (SCS) and carbon pool management index (CPMI) by 23.0–198.3% and 22.9–71.5%, respectively. Biochar also reduced greenhouse gas emission intensity (GHGI), global warming potential (GWP), and emissions of CO2, CH4, and N2O. Furthermore, structural equation modeling (SEM) indicated that soil organic carbon (SOC), in addition to the “biochar” influence factor, was a key positive influence factor for SCS, CPMI, and EP. Another major positive factor for GWP was silt, and for WUE it was saturated hydraulic conductivity, while TN and SOC were the major negative variables for GHGI. In summary, biochar demonstrated outstanding carbon sequestration and emission reduction impacts while ensuring crop production growth and efficiency improvement. The results provide a research basis for safeguarding food security and mitigating climate warming in the middle Yangtze River region.
Identification and Expression Analysis of Wheat Golden2-like (TaGLK) Gene in Response to Biotic and Abiotic Stress
Authors: Xiang Junhui , Liu Pingu , Bimpong Daniel , Shen Jiayi , Liu Xusi , Wang Siting , Li Yan , Wang Youning , Ma Dongfang
Published: December 2024

The Golden2-like (GLK) transcription factors belong to the GARP family of transcription factors and play significant roles in plant growth, development, and responses to both abiotic and biotic stresses. This study employed bioinformatics and expression analyses to investigate the regulatory roles of wheat GLK proteins under various stress conditions, including abscisic acid (ABA) treatment, osmotic stress, and infection by Fusarium graminearum. The study identified 125 TaGLK proteins and revealed that TaGLKs play a significant role in wheat’s development and response to adverse environmental conditions. The results indicate that TaGLKs may serve as potential transcriptional regulators capable of integrating multiple cellular signals to coordinate various developmental and physiological processes. Evolutionary analysis classified the TaGLK proteins into six subgroups, which shared similar conserved domains and motifs. Protein–protein interaction network analysis revealed that TaGLKs are involved in photoreceptor activity, cell cycle progression, and protein regulation. Gene expression analysis of TaGLKs discovered that they play key functions in wheat development, as well as regulation of biotic and abiotic stress conditions. RT-qPCR analysis showed that TaGLKs regulate earlier and late effects of osmotic stress, F. graminearum infections, and ABA treatment in wheat. These findings provide knowledge for future studies of the functions of TaGLK TFs in wheat stress tolerance and development, which could have significant implications for enhancing wheat tolerance to various environmental stressors.
Myotonia Congenita in Australian Merino Sheep with a Missense Variant in CLCN1
Authors: Manning Leah K. , Eager Katie L. M. , Willet Cali E. , Slattery Shaun , McNally Justine H. , Spiers Zoe B. , Hazelton Mark , Child Georgina , Duggan Rick , O’Rourke Brendon A. , Tammen Imke
Published: December 2024

Myotonia congenita is a hereditary, non-dystrophic skeletal muscle disorder associated with muscle stiffness due to delayed muscle relaxation after contraction. We review myotonia congenita in domesticated animals and humans and investigated suspected myotonia congenita in a flock of Merino sheep in Australia. In 2020, a property in New South Wales reported a four-year history of lambs that would fall on disturbance before rapidly recovering, with 13 affected sheep identified in 2020. Episodes were associated with a short period of tetanic spasms and a stiff gait upon rising. Lambs were otherwise normal between episodes, although over time, lost body condition and occasionally died from misadventure. An inherited condition was considered from limited pedigree information and a preliminary diagnosis of myotonia congenita was made based on clinical presentation. Biochemistry from four sheep found variable, but typically mild increases in creatine kinase (CK) and aspartate aminotransferase (AST). Modified electromyography on six affected sheep found irregular electrical activity within the muscle. For four sheep, there were no consistent significant abnormalities on post mortem examination and histopathology—typical for this condition. A review of the Online Mendelian Inheritance in Man (OMIM) and Online Mendelian Inheritance in Animals (OMIA) databases was conducted to summarise information about myotonia congenita in humans and eight non-human species of animals. Comparing the characteristic clinical presentation, pathology and electromyography data of affected Merino sheep to similar conditions in other species assisted the identification of likely candidate genes. Whole genome sequencing of two affected lambs detected a missense variant in CLCN1 (NC_056057.1:g.107930611C>T; XM_004008136.5:c.844C>T; XP_004008185.4:p.(P282S)), with a predicted deleterious effect on protein function. An SNP genotyping assay was developed, and the variant segregated with the disease in 12 affected sheep and obligate carrier rams under an assumed recessive mode of inheritance. Identifying a likely causal variant and developing a diagnostic test allows screening of suspected affected or carrier Merino sheep for early intervention to reduce propagation of the variant within flocks.
Effects of Oregano Essential Oil and/or Yeast Cultures on the Rumen Microbiota of Crossbred Simmental Calves
Authors: Liu Ting , Luo Zhihao , Zhang Tao , Chen Huan , Yi Xuejiao , Hu Jiang , Shi Bingang , An Yuxi , Cui Changze , Wang Xiangyan
Published: December 2024

This study hypothesized that combining oregano essential oil (OEO) and yeast cultures (YCs) would modulate rumen microbiota to promote gastrointestinal homeostasis and function. Twenty-four newborn, healthy, disease-free, crossbred Simmental male calves (birth weight ≥ 35 kg) were assigned to one of four treatments based on birth data. Treatments were as follows: (1) Control (CON), calves fed calf starter without additives; (2) OEO, calves fed calf starter containing 60 mg/kg body weight (BW) of OEO per day; (3) YCs, calves fed calf starter containing 45 mg/kg BW of YC per day; and (4) MIX, calves fed calf starter with OEO (60 mg/kg, BW) and YC (45 mg/kg, BW) combination. The experimental period lasted 70 days. Rumen fluid was collected on the final day, and 16S rRNA sequencing was performed to assess alterations in rumen microbiota. Calves fed MIX exhibited significantly greater microbial richness, species diversity, and lineage diversity (p < 0.05) compared with calves in the other groups. MIX-fed calves also showed changes (p < 0.05) in the relative abundance of certain rumen species, identified as through LEfSe analysis (LDA > 4, p < 0.05). These biomarkers included f_Rikenellaceae, g_Rikenellaceae_RC9_gut_group, g_Erysipelotrichaceae_UCG-002, c_Saccharimonadia, o_Saccharimonadales, f_Saccharimonadaceae, and g_Candidatus_Saccharimonas. Pathways enriched (p < 0.05) in MIX-fed calves involved nucleotide metabolism, lipid metabolism, glycan biosynthesis and metabolism, amino acid metabolism, terpenoids and polyketides metabolism, antimicrobial drug resistance, xenobiotic biodegradation and metabolism, antineoplastic drug resistance, and excretory system pathways. In conclusion, this study demonstrates that the OEO and YC combination enhances rumen microbial community modulation in calves more effectively than OEO or YCs fed individually or with the control diet.
Preserving Mediterranean Donkeys: A Study on Milk Production and Nutritional Benefits
Authors: Aroua Mohamed , Fatica Antonella , Ben Said Samia , Mahouachi Mokhtar , Salimei Elisabetta
Published: December 2024

The aim of the study was to model lactation curves and assess the physicochemical properties, amino acid, and fatty acid profiles of milk from two Mediterranean donkey populations, Masri (n = 14) and North African (n = 14), using the Wood model. Over a lactation period of 205 ± 12.5 days, North African donkeys produced more milk (188.66 ± 7.19 kg) than Masri donkeys (163.42 ± 7.21 kg, p < 0.05). Peak milk yields occurred on day 57 for North African donkeys (1.212 kg/day) and day 59 for Masri donkeys (0.991 kg/day), with similar persistency indices of 7.19 and 7.21, respectively. North African donkey milk had significantly higher protein (1.45 ± 0.03 g/100 g) and β-lactoglobulin (4.75 ± 0.06 mg/mL) contents, while Masri donkey milk contained more fat (1.16 ± 0.05 g/100 g). Amino acid analysis revealed higher glutamate (0.27 ± 0.12 g/100 g) in North African donkey milk, while Masri donkey milk had more aspartate (0.16 ± 0.04 g/100 g). North African donkey milk had higher palmitic acid (20.1 ± 0.07 g/100 g), while Masri donkey milk had more oleic acid (21.4 ± 0.42 g/100 g). Lactation curve fitting yielded R2 values of 93.8% for Masri donkeys and 95.7% for North African donkeys. These findings suggest that both populations are well-suited for milk production, particularly for human consumption or food applications. North African donkeys exhibited superior yields and nutrient profiles suitable for functional food applications.
Impact of Haemoadsorption Therapy on Short Term Mortality and Vasopressor Dependency in Severe Septic Shock with Acute Kidney Injury: A Retrospective Cohort Study
Authors: Epstein Danny , Badarni Karawan , Bar-Lavie Yaron
Published: December 2024

Background/Objectives: Sepsis, a life-threatening organ dysfunction caused by a dysregulated host response to infection, remains a major challenge in ICUs. This study evaluated whether combining haemoadsorption therapy with continuous renal replacement therapy (CRRT) reduces ICU and short-term mortality in patients with severe septic shock and acute kidney injury (AKI) requiring CRRT. Methods: A single-centre retrospective cohort study was conducted at Rambam Health Care Campus, Haifa, Israel, from January 2018 to February 2024. Data were collected from ICU patients with severe septic shock and AKI requiring CRRT. Patients were divided into two groups: those receiving haemoadsorption therapy with CRRT and those receiving CRRT alone. Primary and secondary endpoints included ICU, 30 and 60-day mortality, vasopressor dependency index (VDI), and lactate levels. Results: Out of 545 patients with septic shock, 133 developed AKI requiring CRRT, and 76 met the inclusion criteria. The haemoadsorption group (n = 47) showed significant reductions in blood lactate levels and VDI after 24 h compared to the CRRT alone group (n = 29). ICU mortality was significantly lower in the haemoadsorption group (34.0% vs. 65.5%, p = 0.008), as was 30 and 60-day mortality (34.0% vs. 62.1%, p = 0.02, and 48.9% vs. 75.9%, p = 0.002). Multivariate analysis confirmed haemoadsorption therapy as independently associated with lower ICU and 30-day but not 60-day mortality. Conclusions: Haemoadsorption therapy combined with CRRT in patients with severe septic shock and AKI requiring CRRT is associated with improved lactate clearance, reduced vasopressor requirements, and lower ICU and 30-day mortality. Further high-quality randomized controlled trials are needed to confirm these findings.
Efficacy of Cefiderocol Against Endophthalmitis Isolates
Authors: Schilling Brennan , Hii Michael , Shanks Hazel Q. , Romanowski Eric G. , Mandell Jonathan B. , Shanks Robert M. Q. , Zegans Michael
Published: December 2024

Background/Objectives: Endophthalmitis is an intraocular microbial infection that can lead to permanent blindness, even with prompt anti-microbial therapy. Multi-drug-resistant organisms are on the rise, potentially limiting the efficacy of current empiric antibiotic therapies of intravitreal ceftazidime and vancomycin. Cefiderocol is a recent FDA- and EMA-approved antibiotic for multi-drug-resistant Gram-negative bacteria. Methods: To better understand its potential utility in the treatment of ocular infections, the MIC of cefiderocol was compared to ceftazidime and amikacin in endophthalmitis bacterial isolates using Epsilometer testing. Because vancomycin is commonly given concomitantly as part of empiric endophthalmitis treatment, possible synergistic and antagonistic effects of concomitant vancomycin and cefiderocol were also evaluated. Results: Cefiderocol was found to have lower MIC values compared to ceftazidime for Pseudomonadales or Enterobacterales species. When comparing the MICs of cefiderocol and vancomycin, there appeared to be no antagonism between the two antibiotics. Conclusions: This is the first report exploring the use of cefiderocol in endophthalmitis strains. The results of this study show this is a promising antibiotic for multi-drug-resistant Gram-negative organisms but further research is needed to investigate its intraocular safety profile.
Bioactive and Biological Potential of Black Chokeberry Leaves Under the Influence of Pressurized Liquid Extraction and Microwave-Assisted Extraction
Authors: Repajić Maja , Elez Garofulić Ivona , Cegledi Ena , Dobroslavić Erika , Pedisić Sandra , Durgo Ksenija , Huđek Turković Ana , Mrvčić Jasna , Hanousek Čiča Karla , Dragović-Uzelac Verica
Published: December 2024

To determine the optimal conditions of pressurized liquid extraction (PLE) and microwave-assisted extraction (MAE) of polyphenols from black chokeberry leaves (BCL), temperature, time and sample-to-solvent ratio (SSR) were varied to obtain maximum polyphenols yield. The extracts were analyzed for total polyphenols (TP) as well as individual ones (UPLC ESI MS2) and antioxidant capacity (FRAP, DPPH and ORAC). Moreover, the biological activity of the selected extracts was additionally determined. The optimal PLE and MAE conditions were 150 °C, 5 min extraction time and SSR 1:30 g/mL (TP 80.0 mg GAE/g dm), and 70 °C, extraction time 5 min and SSR 1:30 g/mL (TP 36.4 mg GAE/g dm), respectively. Both methods yielded similar polyphenol profiles (43 compounds) but differed quantitatively. MAE extracts contained more flavonols and phenolic acids, while PLE extracts had higher procyanidins and flavan-3-ols. Furthermore, the PLE extract exhibited a superior antioxidant capacity. This BCL extract also showed that it can protect against oxidative and DNA damage and can induce free radical formation and DNA damage, albeit at different doses. Moreover, it had a moderate antimicrobial activity against S. aureus and B. subtilis, while no antimicrobial activity was observed against Gram-negative bacteria as well as yeasts, lactic acid bacteria and molds.
A Branch-and-Price-and-Cut Algorithm for the Inland Container Transportation Problem with Limited Depot Capacity
Authors: Song Yujian , Zhang Yuting
Published: December 2024

As an effective solution to the first- and last-mile logistics of door-to-door intermodal container transportation, inland container transportation involves transporting containers by truck between terminals, depots, and customers within a local area. This paper is the first to focus specifically on the inland container transportation problem with limited depot capacity, where the storage of empty containers is constrained by physical space limitations. To reflect a more realistic scenario, we also consider the initial stock levels of empty containers at the depot. The objective of this problem is to schedule trucks to fulfill inland container transportation orders such that the overall cost is minimum and the depot is neither out of stock or over stocked at any time. A novel graphical representation is introduced to model the constraints of empty containers and depot capacity in a linear form. This problem is then mathematically modeled as a mixed-integer linear programming formulation. To avoid discretizing the time horizon and effectively achieve the optimal solution, we design a tailored branch-and-price-and-cut algorithm where violated empty container constraints for critical times are dynamically integrated into the restricted master problem. The efficiency of the proposed algorithm is enhanced through the implementation of several techniques, such as a heuristic label-setting method, decremental state-space relaxation, and the utilization of high-quality upper bounds. Extensive computational studies are performed to assess the performance of the proposed algorithm and justify the introduction of enhancement strategies. Sensitivity analysis is additionally conducted to investigate the implications of significant influential factors, offering meaningful managerial guidance for decision-makers.
Workload Assessment of Operators: Correlation Between NASA-TLX and Pupillary Responses
Authors: Wu Yun , Zhang Yao , Zheng Bin
Published: December 2024

Operators in high-stress environments often face significant cognitive demands that can impair their performance, underscoring the need for comprehensive workload assessment. This study aims to study the relationship between subjective self-reported measures, the NASA task load index (NASA-TLX), objective bio-signal measures, and pupillary responses. The participants engaged in either a visual tracking task or a laparoscopic visuomotor task while their eye movements were recorded using a Tobii Pro Nano eye tracker (Tobii Technology Inc., Stockholm, Sweden). Immediately after completing the tasks, participants provided NASA-TLX scores to assess their perceived workload. The study tested three hypotheses: first, whether increased pupil dilation correlates with higher NASA-TLX scores; second, whether task type affects workload; and third, whether task repetition influences workload. The results showed a moderate positive correlation between pupil size and NASA-TLX scores (r = 0.513, p < 0.001). The laparoscopic surgery task, which requires visuomotor coordination, resulted in significantly higher NASA-TLX scores (t = –6.23, p < 0.001), larger original pupil sizes (t = –22.57, p < 0.001), and more adjusted pupil sizes (t = –22.57, p < 0.001) than the purely visual task. Additionally, task repetition led to a significant reduction in the NASA-TLX scores (t = 2.86, p = 0.005), the original mean pupil size (t = 5.50, p < 0.001), and the adjusted pupil size (t = 6.34, p < 0.001). In conclusion, the study confirms a positive correlation between NASA-TLX scores and pupillary responses. Task type and repetition were found to influence workload and pupillary responses. The findings demonstrate the value of using both subjective and objective measures for workload assessments.
Accelerated Co-Composting of Textile Waste Using the New Strains and Microbial Consortium: Evaluation of Maturity, Stability and Microbial Activity
Authors: Biyada Saloua , Tauraitė Daiva , Urbonavičius Jaunius , Merzouki Mohammed
Published: December 2024

In the present work, the impact of three new bacterial strains and their consortium on composting was evaluated using textile waste as a main substrate mixed with paper, cardboard and green waste, The effectiveness of these micro-organisms in accelerating organic matter degradation was tested. For bioaugmentation of composting, three concentrations (4%, 6% and 8%) were applied. Among the three strains tested, one strain and the consortium demonstrated high organic matter degradation potential, achieving a total organic carbon concentration between 19–21%, total Kjeldahl nitrogen between 1.29–1.56%, a C/N ratio between 13–16%, and a temperature exceeding 55 °C. In the current study, mature compost was attained in 10 weeks, instead of the 44 weeks required for conventional composting and the 12 weeks achieved with other strains previously used. Identification of the strains by 16S rRNA sequencing revealed that they belonged to Bacillus sp., Paenibacillus sp., and Enterobacter aerogenes, respectively. These strains are recognized for their remarkable potential to breakdown a broad variety of organic matter, including lignocellulosic molecules. Furthermore, incorporation of bacteria into the waste mixture (either separately or as a consortium) extended the thermophilic phase by 2 weeks in this study, especially Bacillus sp., Paenibacillus sp. and consortium, leading to a significant reduction in compost production time. It is noteworthy that the efficacy of these strains was considerably greater compared with the three previous strains (i.e., Streptomyces cellulosae, Achromobacter xylosoxidans and Serratia liquefaciens), which were isolated from compost and used for bioaugmentation in a previous study. Our results demonstrate that bioaugmentation by endogenous microbial strains and/or their consortium significantly accelerates the composting process.
Optimizing Geospatial Data for ML/CV Applications: A Python-Based Approach to Streamlining Map Processing by Removing Irrelevant Areas
Authors: Kasperek David , Podpora Michal
Published: December 2024

Massive image datasets are often required for the proper functioning of Machine Learning (ML) and Computer Vision (CV) applications. This paper offers a solution to computational challenges in the Image Processing of satellite imagery, by proposing an optimization procedure. The presented approach is verified by an exemplary Python implementation, constituting a standalone tool for automating the dataset creation and labeling, including the extraction of road network data from the national satellite cartography provider. The collected data include detailed road maps along with the parcel information obtained via WebMapService endpoints. The method presented in this paper involves three basic steps: road segmentation (using the Shapely module) to facilitate handling high-resolution orthoimagery, and then a modified Region-of-Interest approach, i.e., removing irrelevant areas, with only roads remaining. This results in obtaining file sizes that are significantly smaller. The presented algorithm also involves asynchronous tile downloading, which, combined with the masking of irrelevant areas, improves not only the efficiency but surprisingly also the accuracy of subsequent ML/CV procedures. The research results of the paper reveal substantial file size reduction, and improved processing efficiency, thus making the optimized geospatial graphical data more practical for ML/CV applications, while still maintaining the original data quality and relevance of the analyzed parcels or infrastructure.
Research on Service-Oriented Sharing and Computing Framework of Geographic Data for Geographic Modeling and Simulation
Authors: Wang Jin , Shi Lingkai , Zhang Xuan , Xu Kai , Ma Zaiyang , Wen Yongning , Chen Min
Published: December 2024

Geographic data are the foundation of geographic model construction, and any stage of their acquisition, processing, and analysis may have an impact on the efficiency and quality of geographic modeling and simulation. With the advent of the era of big data, a large number of data resources are generated in the field of geographic information. However, due to the heterogeneity of geographic data and the security of data usage, massive geographic data resources are difficult to fully explore and utilize, resulting in the formation of data islands. This paper proposes a service-oriented geographic data-sharing and computing framework, which provides users with a complete set of geographic data access and application processes (such as data acquisition, processing, configuration, etc.), so as to reduce the difficulty of using data and improve the efficiency of data sharing. The framework mainly consists of three core components: (1) the “Data service container” can publish data resources as data services to provide a consistent data access interface; (2) the “Workspace” provides a series of methods and tools for users to develop data-computing solutions; and (3) the “Data-computing engine” is responsible for performing computing tasks such as data processing and configuration. Finally, a case of runoff simulation using the SWAT model is designed, in which the whole process of data sharing, acquisition, calculation, and application is realized, so as to verify the validity of the proposed framework.
Influence of Graphene Oxide on Printability, Rheological and Mechanical Properties of Highly Filled Alumina Filaments and Sintered Parts Produced by FFF
Authors: Kuznetsova Ekaterina , Smirnov Anton , Gusarov Andrey V. , Solís Pinargote Nestor Washington , Tarasova Tatiana V. , Grigoriev Sergey N.
Published: December 2024

The aim of the study was to investigate the effect of the addition of graphene oxide (GO) on the rheological and mechanical properties of extruded polyamide 12 (PA12) filaments with high aluminum oxide (Al2O3) content used for 3D printing using the fused filament fabrication (FFF) method. Firstly, Al2O3-based mixtures with 0.10, 0.25 and 0.50 vol.% GO content were prepared. These mixtures were dried and subsequently combined with paraffin wax (PW), stearic acid (SA) and polyamide 12 (PA12) in an organic solvent. After drying in a vacuum oven and sifting, powder compositions of 74 wt.% (Al2O3 + GO)/26 wt.% (PA12 + PW + SA) with different GO content were obtained. All compositions were successfully extruded into filaments for 3D printing. Rheological, microstructural and mechanical studies of the compositions and filaments were carried out. X-ray diffraction phase analysis and Raman spectroscopy were also performed. It was shown that 0.10 and 0.25% vol. GO proved to be a universal additive that resulted in an increase in the rheological and mechanical properties of the highly filled polymer and also improved its 3D printability, which ultimately helped obtain a ceramic product with complex shape using the FFF method.
NMR and LC-MS-Based Metabolomics to Study the Effect of Surfactin on the Metabolome of Flax
Authors: Benamar Omar Abdelaziz , Craquelin Mathie , Herfurth Damien , Molinié Roland , Fontaine Jean-Xavier , Srifa Akeapot , Ongena Marc , Mesnard François , Fliniaux Ophélie
Published: December 2024

Flax (Linum usitatissimum) is a versatile plant used in a range of applications, from textiles to nutrition. Surfactin, a cyclic lipopeptide biosurfactant produced by bacteria such as Bacillus subtilis, has potential as a biocontrol agent or as a plant defense inducer in agriculture. This work aims to determine the effects of surfactin treatment at two kinetic points on the metabolism of flax hydroponic cultures, using advanced metabolomic techniques, including 1H NMR and LC-MS analyses. Surfactin, detected in the roots, has a significant local impact on the metabolic profiles of flax roots, leading mainly to a higher content of cyanogenic compounds and amino acids and a lower content of carbohydrates. Surfactin, which is not detected in the aerial parts, also induces contrasted changes in amino acids, sugars, and secondary metabolite accumulation between stems and leaves. Surfactin treatment of flax leads to both a local and systemic effect on flax metabolism. These changes suggest that plant response to surfactin treatment could induce an enhanced plant defense. This could suggest potential applications of surfactin in the agricultural field as a biostimulant or biocontrol agent, to limit the use of chemical compounds in culture, and to limit their negative impact on both health and the environment.
Bacterial Nanocellulose Grafted in Yeast Films: The Influence of Plasticizer and Emulsifier Concentration on Film Properties
Authors: Bleoanca Iulia , Grigore-Gurgu Leontina , Ceoromila Alina Cantaragiu , Borda Daniela , Stan Felicia , Fetecau Catalin
Published: December 2024

A new generation of food packaging materials, centered on green solutions, is currently being developed in labs basing these materials on underused secondary industrial food by-products which have the ability to reduce the amount of petroleum-based packaging generated in order to minimize environmental harm and food by-products while ensuring food quality and safety. This study presents a sustainable biopolymeric combination based on bacterial nanocellulose grafted in yeast films, its potential to improve matrices properties, and the influence of plasticizer and emulsifier concentrations on mechanical properties, volatile fingerprint, and antimicrobial activity of films. Yeast films with 1.00% glycerol and 1.00% Tween 80, functionalized with a 2.00% mixture of cinnamon–lavender essential oils and with 2.00% bacterial cellulose produced from SCOBY presented improved mechanical properties compared to the control and exerted antipathogenic activity against Listeria monocytogens, Staphylococcus aureus, and Escherichia coli. Yeast films with grafted bacterial cellulose could be a sustainable food packaging solution for future applications.
Optimization of Energy Management Strategy for Series Hybrid Electric Vehicle Equipped with Dual-Mode Combustion Engine Under NVH Constraints
Authors: Zhang Shupeng , Wang Hongnan , Yang Chengkai , Ouyang Zeping , Wen Xiaoxin
Published: December 2024

Energy management strategies (EMSs) are a core technology in hybrid electric vehicles (HEVs) and have a significant impact on their fuel economy. Optimal solutions for EMSs in the literature usually focus on improving fuel efficiency by operating the engine within a high efficiency range, without considering the drivability, which is affected by noise–vibration–harshness (NVH) constraints at low vehicle speeds. In this paper, a dual-mode combustion engine was implemented in a plug-in series hybrid electric vehiclethat could operate efficiently either at low loads in homogeneous charge compression ignition (HCCI) mode or at high loads in spark ignition (SI) mode. An equivalent consumption minimization strategy (ECMS) combined with a dual-loop particle swarm optimization (PSO) algorithm was designed to solve the optimal control problem. A MATLAB/Simulink simulation was performed using a well-calibrated model of the target HEV to validate the proposed method, and the results showed that it can achieve a reduction in fuel consumption of around 1.3% to 9.9%, depending on the driving cycle. In addition, the operating power of the battery can be significantly reduced, which benefits the health of the battery. Furthermore, the proposed ECMS-PSO is computationally efficient, which guarantees fast offline optimization and enables real-time applications.
Functional Bakery Products: Technological, Chemical and Nutritional Modification
Authors: Zarzycki Piotr , Wirkijowska Anna , Pankiewicz Urszula
Published: December 2024

Increasing consumer interest in the health benefits of various foods has driven the development of new food products and prompted modifications to the recipes and technologies used for the production of traditional items [...]
Comparative Analysis of Audio Features for Unsupervised Speaker Change Detection
Authors: Toleu Alymzhan , Tolegen Gulmira , Mussabayev Rustam , Krassovitskiy Alexander , Zhumazhanov Bagashar
Published: December 2024

This study examines how ten different audio features, including MFCC, mel-spectrogram, chroma, and spectral contrast etc., influence speaker change detection (SCD) performance. The analysis is conducted using two unsupervised methods: Bayesian information criterion with Gaussian mixture model (BIC-GMM), a model-based approach, and Kullback-Leibler divergence with Gaussian Mixture Model (KL-GMM), a metric-based approach. Evaluation involved statistical analysis of feature changes in relation to speaker changes (vice versa), supported by comprehensive experimental validation. Experimental results show MFCC as the most effective feature, demonstrating consistently good performance across both methods. Features such as zero crossing rate, chroma, and spectral contrast also showed notable effectiveness within the BIC-GMM framework, while mel-spectrogram consistently ranked as the least influential feature in both approaches. Further analysis revealed that BIC-GMM exhibits greater stability in managing variations in feature performance, whereas KL-GMM is more sensitive to threshold optimization. Nevertheless, KL-GMM achieved competitive results when paired with specific features, such as MFCC and zero crossing rate. These findings offer valuable insights into the impact of feature selection on unsupervised SCD, providing guidance for the development of more robust and accurate algorithms for practical applications.
Functional Magnetic Resonance Imaging in Research on Dog Cognition: A Systematic Review
Authors: Skierbiszewska Katarzyna , Borowska Marta , Bonecka Joanna , Turek Bernard , Jasiński Tomasz , Domino Małgorzata
Published: December 2024

Canine functional magnetic resonance imaging (fMRI) neurocognitive studies represent an emerging field that is advancing more gradually compared to progress in human fMRI research. Given the potential benefits of canine fMRI for veterinary, comparative, and translational research, this systematic review highlights significant findings, focusing on specific brain areas activated during task-related and resting state conditions in dogs. The review addresses the following question: “What brain areas in dogs are activated in response to various stimuli?”. Following PRISMA 2020 guidelines, a comprehensive search of PUBMED, Scopus, and Web of Knowledge databases identified 1833 studies, of which 46 met the inclusion criteria. The studies were categorized into themes concerning resting state networks and visual, auditory, olfactory, somatosensory, and multi-stimulations studies. In dogs, resting state networks and stimulus-specific functional patterns were confirmed as vital for brain function. These findings reveal both similarities and differences in the neurological mechanisms underlying canine and human cognition, enhance the understanding of neural activation pathways in dogs, expand the knowledge of social bonding patterns, and highlight the potential use of fMRI in predicting the suitability of dogs for assistance roles. Further studies are needed to further map human–canine similarities and identify the unique features of canine brain function. Additionally, implementing innovative human methods, such as combined fMRI–magnetic resonance spectroscopy (MRS), into canine neurocognitive research could significantly advance the field.
Study on the Microstructure and Permeability Characteristics of Tailings Based on CT Scanning Technology
Authors: Li Qiyang , Ma Changkun , Zhang Chao , Guo Yongcheng , Zhou Tong
Published: December 2024

The permeability characteristics of tailings directly affect the position of the infiltration line of the tailings dam, which is the most critical factor affecting tailings dam failures. In order to fully analyze the essence of its permeability characteristics, computed tomography (CT) technology is used to analyze the structure of different types of tailings from a microscopic perspective and carry out microscopic seepage simulation. The results showed the following findings: (1) The porosity of viscous tailings ranges from 25 to 35%, the distribution of surface porosity along the height is relatively uniform, and the distribution is shown as having a certain discrete nature with the increase in particle size. (2) Compared with silty and sandy tailings, the surface of viscous tailings is smoother and more round, and the shape factor can reach 0.95; (3) The data gap between the simulation and the measurements by CT scanning technology is less than 10%, and the estimation of the permeability characteristics is feasible, with good applicability in the simulation of tailings seepage. (4) In the microscopic pore throat structure, the permeability characteristics of the tailings are more affected by the radius of the throat than the pore radius, and the exponential function relationship between the permeability coefficient and the porosity satisfies a high correlation. In this paper, the relationship between the microstructure and permeability characteristics of tailings is analyzed by CT technology; the permeability is simulated and calculated, and a permeability coefficient prediction model for tailings is proposed in combination with the experiment, which can provide a new idea and method for the study of the permeability characteristics of tailings.
Radiological Study of the Normal and Anatomical Variants of the Celiac Trunk and Its Branches: Clinical Implications
Authors: Abduwani Ali , Al-Saadi Ilyas , Al-Hajri Mohammed , Baawain Saleh , Al Riyami Mahmood Salim Nasser , Al Sidairi Naseer , Isma’ili Al Khatab Abdullah Saud , Jaju Sanjay , Das Srijit
Published: December 2024

The abdominal aorta enters the diaphragm at the level of the 12th thoracic vertebra and gives branches such as the celiac trunk (CT), superior mesenteric, and inferior mesenteric arteries. The main aim of the present research study was to observe the CT with regard to (i) variations in the dimensions among different age groups compared to gender, (ii) the vertebral level of origin, and (iii) the variation in the branching pattern. This cross-sectional retrospective study was performed on 116 subjects (n = 91 males, n = 25 females) over one year. The CT was interpreted by using contrast-enhanced computed tomography angiography. The results were assessed using parametric and non-parametric statistical tests. The length and diameter between gender and the three age groups (i.e., 29 years and below, 30–39 years, and more than 40 years) were compared and a p-value of less than or equal to 0.05 was considered significant. There was a significant difference in the length (p = 0.016) and diameter of the CT (p = 0.05) among males and females, respectively. Moreover, there was a significant difference in the length (p = 0.038) and diameter (p = 0.013) of the CT among the three age groups. Individuals aged 30–39 years had the highest mean for the length of the CT, while patients aged 29 years and younger had the highest diameter. The most common level for CT origin was at the vertebral level of the 12th thoracic vertebra (73.3%). Anatomical knowledge of the CT is important for diagnostic imaging, organ transplantations, and surgical and laparoscopic interventions.
Postharvest Evaluations of Blackcurrant Fruits with Chitosan and Ultraviolet A Treatments
Authors: Wang Zhuoyu , Svyantek Andrej , Miller Zachariah , Watrelot Aude A. , Kadium Venkateswara Rao
Published: December 2024

The blackcurrant (Ribes nigrum L.) is a small fruit known for its health benefits, but treatment effects on postharvest storage for fresh markets remain understudied compared with other berries, such as blueberries (Vaccinium spp.). This work aimed to identify the effects of postharvest storage conditions including chitosan coating, ultraviolet a (UVA) light, and combined UVA–chitosan treatments on the physicochemical and microbial properties of blackcurrant. Blackcurrants were harvested, stored under the three conditions, and analyzed at every three days of storage throughout this experiment for a total of 15 days. The results indicated that chitosan treatments had positive effects on reducing berry weight loss, maintaining berry firmness, and reducing mold populations. UVA influenced certain bioactive compounds, such as cyanidin-3-galactoside and rutin. The interaction effects from these two treatments were minimal. This study provides important information for blackcurrant postharvest storage and further small fruit storage work, considering both UVA and chitosan had differential beneficial effects on blackcurrant berries’ physical and chemical attributes.
Listeria monocytogenes Challenge Testing of Ready-to-Eat Uncured Vacuum-Packed Pork Bars with Dried Plasma
Authors: Pniewski Paweł , Anusz Krzysztof , Tracz Michał , Puchalska Martyna , Wiśniewski Jan , Zarzyńska Joanna , Domrazek Kinga , Białobrzewski Ireneusz , Chrobak-Chmiel Dorota , Jackowska-Tracz Agnieszka
Published: December 2024

Newly developed formulas of ready-to-eat (RTE) products, despite conforming to the latest nutritional trends involving low-processed and high-protein products, may pose a risk of promoting the growth of Listeria monocytogenes during shelf life. Food safety experts recommend challenge tests to assess the growth potential of L. monocytogenes, which will ultimately provide microbiological evidence to determine the food safety limit. The present study evaluated whether RTE uncured vacuum-packed pork bars with dried plasma met the 100 CFU/g safety level at the end of shelf life under certain storage conditions and aimed to develop predictive models for the growth of L. monocytogenes in the above product. The bars were artificially inoculated with a mixture of three strains of L. monocytogenes at two different inoculum densities of 2 log CFU/g and 5 log CFU/g and stored at three different temperatures (2, 4, and 6 °C) and then subjected to microbiological evaluation at specific time intervals up to 21 storage days. The growth potential (Δ-value) for RTE pork bars contaminated with 2 log CFU/g L. monocytogenes inoculum was 0.36, 0.14, and 0.91 log CFU/g at 2, 4, and 6 °C, respectively, while for bars contaminated with 5 log CFU/g inoculum, they were −0.36, −0.40, and 0.64 at 2, 4, and 6 °C, respectively. Statistically higher growth potential (p < 0.05) was detected for RTE bars contaminated with 2 log CFU/g inoculum than with 5 log CFU/g. The results indicate that this type of product must be classified as a food category: “Ready-to-eat foods able to support the growth of L. monocytogenes, other than those intended for infants and for special medical purposes” (Category 1.2. according to EU Regulation 2073/2005). The newly created models can also describe L. monocytogenes growth in an environment where factors, such as temperature, pH, and aw, change with time. The results showed that a higher inoculum density statistically reduced the growth potential values of L. monocytogenes compared to a lower density.
Assessment of Doppler Wind Lidar Detection Efficiency and Influencing Factors at Plateau Airport: A Case Study of Lhasa Gonggar Airport
Authors: Wu Junjie , Du Hongyu , Xia Chunjiong , Huang Xiaoyuan
Published: December 2024

Doppler wind lidar (DWL) demonstrates significant advantages in wind field detection under clear weather conditions and has been widely applied in airports with complex wind environments. However, its detection performance is highly susceptible to weather conditions and meteorological factors. To address this issue, this study analyzes the detection efficiency of DWL based on data collected at Lhasa Gonggar Airport from August 2023 to April 2024, along with ground-based meteorological observations. The results indicate that when the detection efficiency dropped to 40%, the average detection range for the plan position indicator (PPI) mode and Doppler beam swinging (DBS) mode were 5.3 km and 2.7 km, respectively. The influence of different underlying surface types on detection efficiency was minimal, with detection efficiency at a 270° azimuth slightly better than at a 90° azimuth. A 4° elevation angle performed better than a 6° elevation angle. During the study period, the detection efficiency generally improved, with the lowest detection efficiency being observed in August, suggesting that precipitation significantly impacts performance. In August, the detection efficiency of the PPI mode dropped below 50% at 4 km, while the highest detection efficiency occurred in April, where performance remained above 50% at 7 km. This is associated with enhanced thermal and dynamic activity in the lower atmosphere. Low-cloud activity also affected the detection performance of the DBS mode. The daily variation in the detection range in April was more pronounced than in January, with the detection range generally being larger. The increase in detection range was related to the more active vertical atmospheric mixing. The PPI mode was more sensitive to changes in meteorological factors, with its median detection range being 0.2–0.6 km shorter than that of the DBS mode when the meteorological optical range (MOR) was less than 4 km. Additionally, the PPI mode showed weaker stability than the DBS mode when relative humidity was below 75%. When relative humidity exceeded 80%, both modes showed a linear decrease in detection efficiency.
A Bayesian-Optimized Surrogate Model Integrating Deep Learning Algorithms for Correcting PurpleAir Sensor Measurements
Authors: Ahmed Masrur , Kong Jing , Jiang Ningbo , Duc Hiep Nguyen , Puppala Praveen , Azzi Merched , Riley Matthew , Barthelemy Xavier
Published: December 2024

Lowcost sensors are widely used for air quality monitoring due to their affordability, portability and easy maintenance. However, the performance of such sensors, such as PurpleAir Sensors (PAS), is often affected by changes in environmental (e.g., temperature and humidity) or emission conditions, and hence the resulting measurements require corrections to ensure accuracy and validity. Traditional correction methods, like those developed by the USEPA, have limitations, particularly for applications to geographically diverse settings and sensors with no collocated referenced monitoring stations available. This study introduces BaySurcls, a Bayesianoptimised surrogate model integrating deep learning (DL) algorithms to improve the PurpleAir sensor PM2.5 (PAS2.5) measurement accuracy. The framework incorporates environmental variables such as humidity and temperature alongside aerosol characteristics, to refine sensor readings. The BaySurcls model corrects the PAS2.5 data for both collocated and noncollocated monitoring scenarios. In a case study across multiple locations in New South Wales, Australia, BaySurcls demonstrated significant improvements over traditional correction methods, including the USEPA model. BaySurcls reduced root mean square error (RMSE) by an average of 20% in collocated scenarios, with reductions of up to 25% in highvariation sites. Additionally, BaySurcls achieved Nash–Sutcliffe Efficiency (NSE) scores as high as 0.88 in collocated cases, compared to scores below 0.4 for the USEPA method. In noncollocated scenarios, BaySurcls maintained NSE values between 0.60 and 0.78, outperforming standalone models. This improvement is evident across multiple locations in New South Wales, Australia, demonstrating the model’s adaptability. The findings confirm BaySurcls as a promising solution for improving the reliability of lowcost sensor data, thus facilitating its valid use in air quality research, impact assessment, and environmental management.