bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterization of mono‐varietal virgin olive oils obtained from Turkish National Germplasm Bank according to fatty acid composition, volatile profile, and sensory properties
Authors: Yıldırım Berna , Özdikicierler Onur , Yemişçioğlu Fahri 
Published: January 2024

AbstractMono‐varietal virgin olive oils were obtained from Olea europaea L. olives grown in the National Olive Germplasm Bank in the same agronomic conditions for two harvesting years. Samples were characterized according to fatty acid composition, volatile profile, and sensory attributes, and varieties were compared using Pearson correlation, principal component analysis (PCA), and cluster analysis. Odor activity values (OAVs) of the volatiles were calculated to discuss relationships between individual sensory properties and volatiles. Although most of the samples overlapped on the score plots, some samples were located away from the others. The sample groupings on the dendrogram plotted using Ward's linkage were generally suitable with PCA results. Ethanol had a negative correlation with 9 out of 14 pleasant attributes. According to OAVs, trans‐2‐hexenal content had the most important effect on sensory attributes and positively correlated with flower odor, whereas hexenal content contributed to sweet attributes. Similarly, the effect of 1‐hexanol content strengthened the flower attribute but weakened the bitter taste. These findings were also confirmed by separating some varieties rich in those volatiles on the PCA bi‐plot of sensory attributes. Samples were grouped on a dendrogram in accordance with total ester and total C3, C5, and C6 acid contents.Practical Application: Most olive production in Turkey is based on a few varieties, whereas 95 different endemic varieties were registered by Turkish National Germplasm Bank. This study provides information on the volatile composition, sensory profile, and fatty acid composition of virgin olive oils produced from some rare varieties with high oil content. Moreover, relationships and correlations between individual volatiles and sensory attributes were evaluated, and the main differences in fatty acid composition, volatile profile, and sensory attributes of these Turkish virgin olive oils and those produced from well‐known varieties from major producing countries were compared. Thus, data on the main characteristics of extra virgin olive oils produced from Turkish olives were provided to the literature, these varieties were promoted internationally, and their cultivation was encouraged.
Low‐Temperature N‐Alkylation of Amines with Alcohols in Protic Solvents Catalyzed by Iridium Complexes Bearing N‐Heterocyclic Carbenes
Authors: Furukawa Shohichi , Morishima Namino , Fujita Ken‐ichi 
Published: January 2024

AbstractAmines are important compounds found in natural products, pharmaceuticals, and fine chemicals. Therefore, the development of elegant, environmentally friendly, and simple synthetic methods is desirable. Recently, the borrowing‐hydrogen (BH) strategy has received considerable attention for C−N bond formations because of its high atomic efficiency and the absence of toxic waste generation. Researchers have recently reported that the use of N‐heterocyclic carbene (NHC) ligands with strong electron‐donating properties and protic solvents can increase the catalytic activity in the BH strategy. Therefore, herein, we focused on the versatility of the synthetic methods, such as a synthetic system that allows simple synthesis, operates at low reaction temperatures, and involves the use of effective solvent simultaneously. The catalyzed N‐alkylation of alcohols and amines in protic solvents under mild conditions was investigated using simple NHC complexes developed by our group. We achieved the synthesis of various alkylamines under mild conditions, such as 40–60 °C, using iridium complexes comprising NHC ligands with simple structures and protic solvents such as 2,2,2‐trifluoroethanol and 1,1,1,3,3,3‐hexafluoroisopropanol.
Unveiling facial kinship: The BioKinVis dataset for facial kinship verification and genetic association studies
Authors: Yu Jian , Jin Xiaozhe , Du Weijie , Bai Yantong , Zhou Xin , Gao Mengli , Li Shuwen , Qin Jiarui , Chen Xuanlong , Liu Yuhao , Yu Jianing , Chen Chen , Xie Qiheng , Xie Sumei , Kong Xiaochao , Zhan Wenxuan , Yu Yanfang , Li Kai , Ji Qiang , Chen Feng , Chen Peng 
Published: January 2024

AbstractFacial image–based kinship verification represents a burgeoning frontier within the realms of computer vision and biomedicine. Recent genome‐wide association studies have underscored the heritability of human facial morphology, revealing its predictability based on genetic information. These revelations form a robust foundation for advancing facial image–based kinship verification. Despite strides in computer vision, there remains a discernible gap between the biomedical and computer vision domains. Notably, the absence of family photo datasets established through biological paternity testing methods poses a significant challenge. This study addresses this gap by introducing the biological kinship visualization dataset, encompassing 5773 individuals from 2412 families with biologically confirmed kinship. Our analysis delves into the distribution and influencing factors of facial similarity among parent–child pairs, probing the potential association between forensic short tandem repeat polymorphisms and facial similarity. Additionally, we have developed a machine learning model for facial image–based kinship verification, achieving an accuracy of 0.80 in the dataset. To facilitate further exploration, we have established an online tool and database, accessible at http://120.55.161.230:88/.
Multilayer track‐etched membrane‐based electroosmotic pump for drug delivery
Authors: Yang Qian , Zhang Zebo , Lin Junshu , Zhu Boyu , Yu Rongying , Li Xinru , Su Bin , Zhao Bo 
Published: January 2024

AbstractHerein, we report an electroosmotic pump (EOP) based on a multilayer track‐etched polycarbonate (PC) membrane. A remarkable increase of maximum backpressure (198.2–2400 mmH2O) of a fundamental pump unit was obtained at 0.8 mA, when the number of PC membranes was increased from 1 to 10. Meanwhile, the corresponding flow rate was increased from 80.3 to 111.7 µL/min. Furthermore, multiple pump units were assembled in series to obtain a multistage EOP. For a three‐stage EOP (EOP‐3), the operating voltage and power can be decreased significantly by 52%–72% under different driving currents, with a minimum power of 26.7 µW. Thus, EOP‐3 can run stably over 35 h at a pulse current of 0.1 mA without the generation of gas bubbles. The pump was further integrated into a miniature device, which was successfully used to decrease the blood glucose level of diabetic rats by subcutaneous delivery of fast‐acting insulin. This work brings a facile and efficient strategy to enhance the backpressure and lower the operating voltage and power of EOPs, which may find promising applications in drug delivery.
An analysis of causative factors for road accidents using partition around medoids and hierarchical clustering techniques
Authors: Manasa Pendyala , Ananth Pragya , Natarajan Priyadarshini , Somasundaram K. , Rajkumar E. R. , Ravichandran Kattur Soundarapandian , Balasubramanian Venkatesh , Gandomi Amir H. 
Published: January 2024

AbstractInsufficient progress in the development of national highways and state highways, coupled with a lack of public awareness regarding road safety, has resulted in prevalent traffic congestion and a high rate of accidents. Understanding the dominant and contributing factors that may influence road traffic accident severity is essential. This study identified the primary causes and the most significant target‐specific causative factors for road accident severity. A modified partitioning around medoids model determined the dominant road accident features. These clustering algorithms will extract hidden information from the road accident data and generate new features for our implementation. Then, the proposed method is compared with the other state‐of‐the‐art clustering techniques with three performance metrics: the silhouette coefficient, the Davies–Bouldin index, and the Calinski–Harabasz index. This article's main contribution is analyzing six different scenarios (different angles of the problem) concerning grievous and non‐injury accidents. This analysis provides deeper insights into the problem and can assist transport authorities in Tamil Nadu, India, in deriving new rules for road traffic. The output of different scenarios is compared with hierarchical clustering, and the overall clustering of the proposed method is compared with other clustering algorithms. Finally, it is proven that the proposed method outperforms other recently developed techniques.
Evaluation of the energy performance of a shallow geothermal facility through a second‐order cone programming
Authors: Dhaundiyal Alok , Bercesi Gabor 
Published: January 2024

AbstractEnergy consumption and operational cost are two decision‐making factors which evaluate the feasibility of any energy system. Whether a thermal unit is efficiently working or not depends on the state properties of the thermodynamic system. Therefore, operational research on a geothermal site was performed. Most research pivots around the basic energy conservation equation to determine the parameters. However, finding the parameters does not serve the purpose of an investor. Investment of capital in any project depends on the return and feasibility of the task performed under the project. In the same direction, this article focuses on the optimisation of the performance of a shallow geothermal site in terms of energy and plant economics using the concept of a second‐order cone program (SOCP). The site was used to operate the hybrid heating, ventilation, and air conditioning unit (HVAC) installed in an academic building. The second‐order cone programming was considered to minimize the energy requirement and cost of energy generation during the winter season. It is to be noted that the solver‐based approach was considered to examine the unit. The optimized energy consumption of GSHP was 24.29 kW⋅h. The levelized cost of energy (LCOE/kW⋅h) derived from SOCP would vary from $ 0.38 to $ 0.58 for the shallow geothermal plant. The rate of return for air conditioning in the building through the geothermal plant would be 1.74%. The optimized upfront cost per m2 was estimated to be $ 1440.87.
Mapping damages from inspection images to 3D digital twins of large‐scale structures
Authors: von Benzon Hans‐Henrik , Chen Xiao 
Published: January 2024

AbstractThis study develops a methodology to create detailed visual Digital Twins of large‐scale structures with their realistic damages detected from visual inspection or nondestructive testing. The methodology is demonstrated with a transition piece of an offshore wind turbine and a composite rotor blade, with surface paint damage and subsurface delamination damage, respectively. Artificial Intelligence and color threshold segmentation are used to classify and localize damages from optical images taken by drones. These damages are digitalized and mapped to a 3D geometry reconstruction of the large‐scale structure or a CAD model of the structure. To map the images from 2D to 3D, metadata information is combined with the geo placement of the large‐scale structure's 3D model. The 3D model can here both be a CAD model of the structure or a 3D reconstruction based on photogrammetry. After mapping the damage, the Digital Twin gives an accurate representation of the structure. The location, shape, and size of the damage are visible on the Digital Twin. The demonstrated methodology can be applied to industrial sectors such as wind energy, the oil and gas industry, marine and aerospace to facilitate asset management.
Green synthesis capacitor of carbon quantum dots from Stachys euadenia
Authors: Baslak Canan , Demirel Serkan , Dogu Suleyman , Ozturk Gulsah , Kocyigit Adem , Yıldırım Murat 
Published: January 2024

AbstractCarbon quantum dots (CQDs) are a new type of carbon nanomaterial that has recently attracted great attention as a potential competitor to standard semiconductor quantum dots. There are various ways to synthesis CQDs, and one of harmless way is undoubtedly green synthesis. In this study, hydrothermal synthesis based on the green way was employed to synthesize CQDs. The CQDs were obtained using the green leaves of the Stachys euadenia plant extract, an endemic species located in Turkey. The CQDs were characterized by fluorescent and UV‐Visible spectroscopy, and results confirmed blue emission (430–480 nm) and absorption around 280 nm. X‐ray photoelectron spectroscopy (XPS) analysis revealed C=C, C–N and C–O interactions. X‐ray diffractometer (XRD) patterns confirmed structure of carbon with a broad peak of (002) plane. High resolution tunneling electron microscopy (HRTEM) and dynamic light scattering (DLS) analysis was used to determine the shape and size of CQDs. The CQDs obtained from Stachys euadenia were employed as electrode materials for capacitor application, and they were tested in Swagelok‐type cell by cyclic voltammetry (CV) measurements. CQD capacitors exhibited 2.12 F/g charge and 1.24 F/g discharge capacitances were obtained with ~58% coulombic efficiency rate for the first cycle. Results highlights that CQDs are synthesized successfully by green synthesis method and can be used for capacitor applications.
A control strategy incorporating multiple EV charging stations for an islanded micro‐grid energy management and voltage regulation
Authors: Gupta Ankush , Suhag Sathans 
Published: January 2024

AbstractAn electric vehicle (EV) charging station control strategy (CSCS) is proposed for proper power‐sharing among various components of an islanded microgrid (MG), consisting of the photovoltaic (PV) system, the wind energy conversion system (WECS), variable load (critical and non‐critical), multiple charging stations (CSs) and the dump load (LD). The proposed control strategy is examined in three distinct cases with varying operating conditions owing to solar irradiance, wind speed and load variations. For proper energy management (EM) and voltage regulation (VR), the diverse EVs have varying battery capacities parked in the multiple CSs to either absorb or deliver power through a two‐way power flow between the islanded MG system and the EV‐based CSs, which is reliant on the supply and demand (S&D) energy difference. The simulation is executed via the MATLAB software and two different modes—excess power mode (EPM) and deficient power mode (DPM)—are employed to validate the proposed CSCS's competency. For a realistic assessment of the proposition, the results are also verified by using a hardware‐in‐loop (HIL) real‐time (RT) OPAL‐RT simulator (OP5700). Furthermore, the findings from MATLAB and the OPAL‐RT simulator are compared to establish the robustness of the proposed strategy.
Curcuminoids: Composition, extraction, health benefits, delivery systems, and relation to COVID‐19 treatment
Authors: Basha Shaik Jakeer , Kaur Kamaljit , Kaur Prabhjot , Rehal Jagbir 
Published: January 2024

AbstractCurcuminoids, resevetrol, and quericitin are naturally occurring compounds in various foods that contain antiviral functionalities. Among them, curcuminoids are the lipophilic phenolic compounds extracted from rhizomes of Curcuma longa. L, a perennial plant from the Zingiberaceae family. Industrial applications and popularization of curcuminoids are still developing slowly due to the unacceptable bitter taste and poor bioavailability of these components. Appropriate extraction conditions play a central role to obtain extracts and preserve the biological activity of curcuminoids. Green extraction technologies can be of great value to extract these bioactive compounds. Curcuminoids are biologically effective in terms of molecular targets and physiological effects against some of the main global diseases, such as cardiovascular diseases, diabetes, metabolic syndrome, and arthritis. Being nutraceutical, curcuminoids and its food products could be a new challenge to combat the COVID‐19 like viral infections. This review summarized the latest data related to chemical composition, production, extraction methods, potential health benefits, and relation of curcuminoids to COVID‐19 treatment.
Collective loneliness: The impact of the social network on loneliness and depression during the coronavirus pandemic in older Europeans
Authors: Altweck Laura , Freund Justus , Hahm Stefanie , Schmidt Silke , Tomczyk Samuel 
Published: January 2024

AbstractObjectivesWe examined the impact of the social network before the coronavirus pandemic on loneliness and depressed mood during the pandemic in older European individuals, and how these relationships differ between different European countries.MethodsData of N = 19,999 persons (age: M = 69.18 years; 51% female) from the pan‐European longitudinal survey of health, ageing and retirement in Europe, interviewed between October 2019 and March 2020 (Wave 8) and between June and August 2020 (Corona Questionnaire 1), were used. To test the models we employed path analyses, controlling for age, gender, education, and occupational status. Models were also run separately in collectivistic (Romania, Slovenia, Croatia, and Greece) and individualistic (Netherlands, Belgium, Denmark, and France) country groups.ResultsA larger social network before the pandemic reduced the probability of an increase in loneliness and depression. The negative association between social network size and increase in loneliness was stronger in collectivist countries than in individualist ones. Moreover, an increase in loneliness increased the probability of feeling depressed.ConclusionsIt appears that pre‐pandemic social networks served as a buffer to negative mental health consequences of the pandemic in older Europeans. In fact, this association was stronger in collectivist than for individualist countries. While this underscores the importance of social connectedness, it also stresses the vulnerability of socially isolated individuals regarding loneliness and depression. Future work should thus focus on supporting social networks in older adults.
The integrated analysis and underlying mechanisms of FNDC5 on diabetic induced cognitive deficits
Authors: Xiang Qiong , Tao Jia‐Sheng , Fu Chuan‐Jun , Liao Li‐Xiu , Liu Li‐Ni , Deng Jing , Li Xian‐Hui 
Published: January 2024

AbstractObjectivesChronic hyperglycemia is considered as an important factor to promote the neurodegenerative process of brain, and the synaptic plasticity as well as heterogeneity of hippocampal cells are thought to be associated with cognitive dysfunction in the early process of neurodegeneration. To date, fibronectin type III domain‐containing protein 5 (FNDC5) has been highlighted its protective role in multiple neurodegenerative diseases. However, the potential molecular and cellular mechanisms of FNDC5 on synaptic plasticity regulation in cognitive impairment (CI) induced by diabetics are still need to known.Methods/DesignTo investigate the heterogeneity and synaptic plasticity of hippocampus in animals with CI state induced by hyperglycemia, and explore the potential role of FNDC5 involved in this process. Firstly, the single cell sequencing was performed based on the hippocampal tissue from db diabetic mice induced CI and normal health control mice by ex vivo experiments; and then the integrated analysis and observations validation using Quantitative Real‐time PCR, western blot as well as other in vitro studies.ResultsWe observed and clarified the sub‐cluster of type IC spiral ganglion neurons expressed marker genes as Trmp3 and sub‐cluster of astrocytes with marker gene as Atp1a2 in hippocampal cells from diabetic animals induced CI and the effect of those on neuron‐glial communication. We also found that FNDC5\BDNF‐Trk axis was involved in the synaptic plasticity regulation of hippocampus. In high glucose induced brain injury model in vitro, we investigated that FNDC5 significantly regulates BDNF expression and that over‐expression of FNDC5 up‐regulated BDNF expression (p < 0.05) and can also significantly increase the expression of synapsin‐1 (p < 0.05), which is related to synaptic plasticity, In addition, the unbalanced methylation level between H3K4 and H3K9 in Fndc5 gene promoter correlated with significantly down‐regulated expression of FNDC5 (p < 0.05) in the hyperglycemia state.ConclusionThe current study revealed that the synaptic plasticity of hippocampal cells in hyperglycemia might be regulated by FNDC5\BDNF‐Trk axis, playing the protective role in the process of CI induced by hyperglycemia and providing a target for the early treatment of hyperglycemia induced cognitive dysfunction in clinic.
Field testing Australian bat lyssavirus risk communication resources
Authors: Uren Alexandra M. , Young Megan K. 
Published: January 2024

AbstractIssue AddressedAustralian bat lyssavirus (ABLV) is a fatal zoonosis, which can be transmitted to humans through scratches or bites from infected bats. Currently, there is a lack of research evaluating risk communication resources about ABLV or the dangers from handling bats. The purpose of this study was to field test resources aimed at educating the public about risks to humans and bats from human‐bat interaction, then update these resources based upon feedback to ensure they were relevant and appropriately targeted to the public.MethodsThirteen semi‐structured interviews with a purposive sample of participants chosen for maximum variation of age and sex were conducted. Two investigators analysed the data independently using a deductive approach and then came to consensus by discussion.ResultsThe main themes were a wide‐ranging level of knowledge and opinions about bats, the resources having an effect on people, and messaging in relation to children and pets being particularly important.ConclusionThis study highlighted the complexities of risk communication to a broad audience with varied experience and knowledge about bats, and the importance of evaluation prior to implementation to ensure risk communication is relevant and appealing to the intended audience.So What?Field testing of health education material prior to implementation is an effective way to ensure key messages are understood, and is important when communicating about fatal but preventable zoonoses such as ABLV.