bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing Femoral Head Medialization in Developmental Hip Dysplasia Type 1 and Type 2 Hip Separation
Authors: Aydin Sonay , Durmaz Onder , Fatihoglu Erdem , Kadirhan Ozlem , Karavas Erdal
Published: October 2024

Background/Objectives: The prevalence of developmental hip dysplasia is estimated to be 0.1–2 per 1000 infants. Hip imaging by ultrasonography is considered to be the gold standard method for screening and detecting developmental dysplasia of the hip (DDH), as per the Graf categorization. The classification of hip differentiation into type 1 and type 2 is determined by the alpha angle, as assessed by the Graf classification. Type 1 hips are defined as those with an alpha angle exceeding 60 degrees, whilst type 2 hips are defined as those with measurements falling within the range of 50 to 59 degrees. Methods: The computerized patient card in our institution had a compilation of 208 hip photographs taken from 110 patients, with 98 of them being bilateral. The acquisition of these photos occurred from January 2020 to December 2020. A retrospective review was conducted on the ultrasound (US) scans, with a specific emphasis on the outcomes related to type 1 and type 2 hips. Results: There were 108 high-resolution US photos in the type 1 hip group and 100 high-resolution US images in the type 2 hip group. In terms of unilateral or bilateral cases, gender, or age, no statistically significant differences were seen between the two groups (p > 0.05). The FMD model exhibited a sensitivity of 86% and specificity of 70% in effectively predicting the presence of type 1 mature hips when the values surpassed 2.9 mm. The AUC (area under the curve) value achieved was 0.628. Conclusions: The process of diagnostic categorization may occasionally encounter challenges in accurately differentiating between type 1 and type 2 hip separation subsequent to a hip ultrasound examination. The findings of our analysis indicate that the assessment of the FMD is a highly successful method, demonstrating both high specificity and sensitivity in differentiating between various scenarios.
External Carotid Artery Entrapment by the Hyoid Bone Associated with an Atherosclerotic Stenosis of the Internal Carotid Artery
Authors: Keshelava Grigol , Robakidze Zurab , Tsiklauri Devi
Published: October 2024

The mechanical compression of an external carotid artery (ECA) is a rare pathology. The compression of the carotid bifurcation can be positional, induced by anatomical elements, or provoked by volumetric formation in the neck area. In this study, we describe a rare case of an entrapment of the ECA. A 67-year-old man who had two episodes of transient ischemic attack (TIA) demonstrated by loss of consciousness was transferred to our hospital. Ultrasonography and computed tomography revealed the atherosclerotic stenosis (80%) of a right internal carotid artery (ICA) and, at the same time, entrapment of the right ECA by the elongated right greater horn of the hyoid bone (GHHB). A 1 cm section of the GHHB was resected. After clamping of the carotid arteries, longitudinal arteriotomy and endarterectomy surgeries were performed from the right ICA. At the two months follow-up examination, the patient’s condition was reported as normal, with no episodes of TIA, dysphagia, or pharyngeal discomfort.
Accuracy and Efficiency of the Surgical-Guide-Assisted Fiber Post Removal Technique for Anterior Teeth: An Ex Vivo Study
Authors: Ito Ryota , Watanabe Satoshi , Satake Kazuhisa , Saito Ryuma , Okiji Takashi
Published: October 2024

Background/Objectives: This study compared the accuracy and efficiency of different surgical-guide (SG)-assisted and freehand drilling techniques for removing fiber posts from maxillary anterior teeth performed by differently experienced operators. Methods: A fiber post was bonded to the root canal of 54 extracted maxillary anterior teeth. After mounting the teeth in the jaw models, SGs were designed by integrating cone-beam computed tomography (CBCT) and intraoral scanner data. Each SG included a custom sleeve. An experienced or inexperienced operator drilled the post using three different techniques: (i) SG-assisted incremental drilling at 2–3 mm (SG1), (ii) SG-assisted one-time drilling to a predetermined depth (SG2), and (iii) freehand incremental drilling without SG (FH; n = 9 in each group). Deviations in coronal, sagittal, and horizontal planes and the angle of deviation were measured. Results: The SG1 and SG2 groups showed significantly smaller sagittal and horizontal deviations than the FH group, regardless of the operator’s experience. The SG2 group had a significantly shorter working time than the SG1 and FH groups. In the FH group, the experienced operator required a significantly shorter working time than the inexperienced operator. Conclusions: SG-assisted drilling techniques enhanced the accuracy and efficiency of removing fiber posts from the anterior teeth, irrespective of the operator’s experience.
Probabilistic Risk Assessment for Data Rate Maximization in Unmanned Aerial Vehicle-Assisted Wireless Networks
Authors: Toledo Karel , Kaschel Hector , Rodriguez Mauricio
Published: October 2024

The evolution of beyond fifth generation (B5G) wireless networks poses significant technical and economic challenges across urban, suburban, and rural areas, demanding increased capacity for users whose positions continually change. This study investigated the dynamic positioning of an unmanned aerial vehicle (UAV), acting as a mobile base station (MoBS) to enhance network efficiency and meet ground terminals (GTs) expectations for data rates, particularly in emergency scenarios or temporary events. While UAVs show great promise, existing research often assumes certainty in network architecture, overlooking the complexities of unpredictable user movements. We introduce a decision-making framework utilizing the ordered weighted averaging (OWA) operator to address uncertainties in GT locations, enabling the optimization of UAV trajectories to maximize the overall network data rate. An optimization problem is formulated by modeling GT dynamics through a Markov process and discretizing UAV movements while accounting for communication thresholds and movement constraints. Extensive simulations reveal that our approach significantly improves expected data rates by up to 48% compared to traditional fixed base stations (BSs) and predefined UAV movement patterns. This research underscores the potential of UAV-assisted networks to bolster communication reliability while effectively managing dynamic user movements to maintain optimal quality of service (QoS).
A Novel Fuzzy Image-Based UAV Landing Using RGBD Data and Visual SLAM
Authors: Sepahvand Shayan , Amiri Niloufar , Masnavi Houman , Mantegh Iraj , Janabi-Sharifi Farrokh
Published: October 2024

In this work, an innovative perception-guided approach is proposed for landing zone detection and realization of Unmanned Aerial Vehicles (UAVs) operating in unstructured environments ridden with obstacles. To accommodate secure landing, two well-established tools, namely fuzzy systems and visual Simultaneous Localization and Mapping (vSLAM), are implemented into the landing pipeline. Firstly, colored images and point clouds acquired by a visual sensory device are processed to serve as characterizing maps that acquire information about flatness, steepness, inclination, and depth variation. By leveraging these images, a novel fuzzy map infers the areas for risk-free landing on which the UAV can safely land. Subsequently, the vSLAM system is employed to estimate the platform’s pose and an additional set of point clouds. The vSLAM point clouds presented in the corresponding keyframe are projected back onto the image plane on which a threshold fuzzy landing score map is applied. In other words, this binary image serves as a mask for the re-projected vSLAM world points to identify the best subset for landing. Once these image points are identified, their corresponding world points are located, and among them, the center of the cluster with the largest area is chosen as the point to land. Depending on the UAV’s size, four synthesis points are added to the vSLAM point cloud to execute the image-based visual servoing landing using image moment features. The effectiveness of the landing package is assessed through the ROS Gazebo simulation environment, where comparisons are made with a state-of-the-art landing site detection method.
Mathematical Model of Horizontal Track Conflict Prevention Algorithm in Detect-and-Avoid Framework
Authors: Wang Suli , Lin Yunsong , Zhang Yuan
Published: October 2024

With the proliferation of Unmanned Aerial Vehicle (UAV) technology, the demand for effective collision avoidance technology has intensified. The DAIDALUS algorithm, devised by NASA Langley Research Center under the Detect-and-Avoid (DAA) framework, provides conflict prevention bands for remotely piloted UAVs navigating in intricate airspace. The algorithm computes the bands in two distinct phases: Conflict and Recovery. The formal model for both phases has been established and implemented through iterative programming approaches. However, the mathematical model remains incomplete. Therefore, based on the model, this paper proposes the mathematical model for the two phases of the horizontal track conflict prevention algorithm. Firstly, Cauchy’s inequality is proposed to formulate the model that addresses trajectory conflicts considering the UAV non-instantaneous maneuvering dynamics model, and then a prudent maneuvering strategy is designed to optimize the model for the recovery phase. Finally, the execution procedure of the algorithm within the two-stage mathematical model is also detailed. The results demonstrate that the proposed model achieves a higher precision in the preventive bands, implements an effective collision avoidance strategy, and consistently aligns with the DAIDALUS model while offering a larger buffer time or distance. This work theoretically validates the formal model of the DAIDLAUS algorithm and provides insights for further refinement.
Suprathel Versus Hypafix in the Management of Split-Thickness Donor Site Wounds in the Elderly: A Randomised Controlled Trial
Authors: Cussons David , Sullivan Justine , Frew Quentin , Barnes David
Published: October 2024

(1) Background: Effective wound management aims for expedited healing, improved functional and scar outcomes, and reduced complications including infection. Delayed wound healing remains a prevalent problem in the elderly. Suprathel is a synthetic absorbable skin substitute and an attractive option in partial thickness wounds. The objective of this randomised controlled study was to assess the effect of skin substitute dressings on elderly split-skin graft (STSG) donor sites, evaluating time to heal, pain, itch and scar outcome. (2) Methods: 40 patients over 65 undergoing split-thickness skin grafting for non-melanoma skin cancer excision were randomised to STSG donor site dressings with either Suprathel or Hypafix. Patients were followed up weekly until healed and at 13 weeks post-procedure. (3) Results: There was no significant difference in time to healing, pain, itch, or scar outcome at 13 weeks between the two groups. The mean time to healing was 31.7 days for the skin substitute group and 27.3 days for the adhesive tape control group (p = 0.182). (4) Conclusions: Both dressings are appropriate for STSG donor sites. Hypafix remains a cost-effective dressing of choice for donor sites. Benefits demonstrated in other studies using skin substitutes have not translated into the elderly population. There remains scope in developing dressings that reduce elderly donor site morbidity.
Seed Grant Programs to Promote Community Transformation in Higher Education Institutions
Authors: Fleming Gabriella Coloyan , Cobb Sydni Alexa , Watson Del , Boklage Audrey , Borrego Maura , Contreras Lydia , Julien Christine
Published: October 2024

Used in higher education for many decades, seed grants are now beginning to be applied as a strategy to advance diversity, equity and inclusion goals, including rebuilding community post-pandemic. There is little research on the effectiveness of seed grants for such communal goals. This work is innovative in two key ways. First, these seed grants focus on promoting a strong sense of community at the institution rather than promoting individual investigators and research projects. Second, engaging students and staff as principal investigators (PIs) disrupts power structures in the academy. We present a systematic analysis of seed grant project reports (n = 45) and survey data (n = 56) from two seed grant programs implemented at the same institution. A diverse set of projects was proposed and funded. Projects had a positive impact on awardees and their departments and colleges. Seed grant program activities were successful at building community among awardees and recognizing individual efforts. Most noteworthy are the career development opportunities for graduate students, postdocs and staff, which are afforded by changes to PI eligibility. We conclude that seed grant programs have the potential for organizational learning and change around community building in higher education.
From Welcoming Newly Arrived Migrant Students to Creating an Inclusive and Hospitable Environment: The Proposal from the Universe School
Authors: Badia Martín Mar , Devant Cerezo Adriana
Published: October 2024

In Catalan schools, the rising influx of newly immigrated students poses significant challenges concerning their inclusion. These students show lower academic performance and self-esteem, are more likely to engage in risky behaviors, and lack support as they cope with the mourning process of migrating. Implementing intercultural education, working on socio-emotional skills, and helping to build a support network can be protective factors in improving the students’ development. This project was implemented in a Barcelona public school and aimed to identify the needs of newcomer students and enhance their inclusion. A questionnaire administered to 30 teachers revealed low knowledge about migratory mourning and intercultural education. Consequently, training sessions addressed to the school’s teaching staff were developed to provide them with the necessary knowledge and skills to deal with these topics. Interviews were conducted with the newly arrived children, specifically with 12 of them. They revealed a need for emotional support, the presence of migratory mourning, and a lack of a support network and socio-emotional skills. Students have appreciated the active listening and the opportunity to share their migration process. Teachers feel more empowered to support students in the migration mourning process after the training sessions. Feedback after the training sessions highlighted the clarity, ease of understanding, and usefulness of the material shared positively. The project lays the groundwork for more inclusive and intercultural initiatives in the school. Integrating the provided training into the teacher training curriculum could have a significant impact, better equipping educators to support recently arrived migrant students.
Transition into Distance Education: A Scoping Review
Authors: Schweighart Roxana , Hast Michael , Pampel Anna Maria , Rebien Julian Alexander , Trautwein Caroline
Published: October 2024

The number of students enrolling in distance learning programmes is rising worldwide, making distance education (DE) a significant part of higher education (HE). Transitioning into a study programme involves numerous challenges, especially for distance learners who face higher dropout rates and compromised academic performance compared to traditional on-campus students. However, when students master these challenges, study success becomes more likely. Nevertheless, knowledge about transitioning into DE remains limited. This scoping review aims to compile existing knowledge and enhance understanding of the critical initial phase of DE by answering the research question: “What is known about the transition into DE in HE?”. Following the methodological steps outlined in the PRISMA-ScR checklist, we identified 60 sources from five databases, meeting inclusion criteria through a multi-stage screening process. These articles were analysed using qualitative content analysis. We developed a category system with 12 main categories: 1. Process of transition into DE; 2. Reasons for choosing DE; 3. Characteristics of distance learners; 4. Academic success and failure; 5. General assessment of DE; 6. Differences between face-to-face and DE; 7. Advantages of DE; 8. Challenges of DE; 9. Critical life events; 10. Coping strategies; 11. Add-on initiatives; and 12. Recommendations for DE. The results underline the complexity of the transition into DE, which has unique patterns for each student. The article concludes with practical implications and recommendations for supporting the transition into DE.
Harnessing Artificial Intelligence for Enhanced Scientific Collaboration: Insights from Students and Educational Implications
Authors: Gawlik-Kobylińska Małgorzata
Published: October 2024

This study aimed to explore students’ perspectives on integrating artificial intelligence (AI) into scientific collaboration, specifically on writing academic articles and creating scientific posters. The research employed open-ended interviews conducted among 61 civil and military students. Opinions were labelled, coded, and gathered into the following categories: positive impact on collaboration, challenges faced, and educational impact. Among the positives were improving efficiency, enhancing the quality of work, and generating new ideas. The challenges concerned experiencing technical difficulties with AI tools, inconsistency in AI outputs, and AI dependence, which may lead to behaviours on the verge of addiction. Regarding educational impact, students noticed that AI helps improve learning new skills, increases engagement in the task, and enhances critical thinking. As one researcher performed the thematic analyses, Cohen’s Kappa statistic was used to ensure intra-coder reliability. This study highlights the need for further research to optimize the use of AI in scientific collaboration while addressing ethical concerns related to students’ motivations for using AI tools, promoting responsible use, and researching students’ emotions, cognitive processes, and behaviours resulting from their interactions with AI tools. The research provides valuable insights for educators and policymakers to integrate AI effectively into academic practice.
Parental Expectation, Attitudes, and Home Numeracy Environment in Korea and in the U.S.: Potential Sources of Asian Math Advantages
Authors: Kwon Kyong-Ah , Im Haesung , Beisly Amber
Published: October 2024

This present study examined relations among parental math attitudes, expectations, and practice, and preschool children’s math achievement (i.e., parental math practice as a mediator) that may differ between Korean and U.S. samples. We examined measurement invariance to minimize the bias and inaccurate estimates in scores in two samples, which is a common barrier in cross-cultural studies. The Korean sample comprised 232 children (mean age = 54.58 months) and their parents from large urban cities and two other provinces. The U.S. sample included 146 preschool children (mean age = 52.49 months) and their parents in an urban area. We utilized measurement invariance to investigate whether the parental math practice has the same meaning across the two samples, along with mediation group comparisons. U.S. parents tended to have more positive math attitudes and higher expectations, while Korean parents were likely to be more involved in math practice with children at home. Korean children scored significantly higher on math achievement than the U.S. children. Among the Korean sample, higher parental math expectations were associated with higher levels of parental math practice, which was, in turn, associated with higher levels of child math outcomes after controlling for child age and SES. On the contrary, parental math expectations were unrelated to their math practice or child math outcomes in the U.S. sample. Parent math attitudes were not associated with any variables in both samples. These findings explain Asian math advantages that emerge early and offer insights into cultural processes (i.e., the importance of parental math practice) that may play a different role in children’s math outcomes.
Enhanced Performance of Sodium-Ion Battery Cathodes with Ti and V Co-Doped P2-Type Na0.67Fe0.5Mn0.5O2 Materials
Authors: Banik Trapa , Bhattacharya Indranil , Savunthari Kirankumar Venkatesan , Mukerjee Sanjeev , Adepoju Webster , Olatunji Abiodun
Published: October 2024

Manganese- and iron-rich P2-type Na0.67Fe0.5Mn0.5O2 (NFM) has garnered significant interest as a promising cathode candidate due to the natural abundance of Fe and Mn along with a high redox couple of Fe3+/Fe4+ and Mn3+/Mn4+. Despite all these merits, NFM suffers from structural instability during cycling, arising from the destructive Jahn-Teller (JT) distortion effect of Mn3+/Mn4+ during charging and Fe4+/Fe3+ during discharging. In this research, a novel P2-type transition metal-oxide cathode Na0.67Fe0.5−2xMn0.5TixVxO2 was synthesized by doping a tiny fraction of two electrochemically inactive elements, Titanium (Ti) and Vanadium (V), into Mn-rich Na0.67Fe0.5Mn0.5O2 (NFM) that mitigated the JT effect substantially and ameliorated the stability of the SIB during cycling. These exhaustive structural and morphological comparisons provided insights into the effects of V and Ti doping on stabilizing surface structures, reducing Jahn Teller distortion, enhancing stability and capacity retention, and promoting the Na+ carrier transport mechanism. Moreover, the electrochemical analysis, such as the galvanostatic charge/discharge profile, validates the capacity improvement via Ti and V co-doping into NFM cathode. The initial discharge capacity of the 2% Ti/V-doped Na0.67Fe0.48Mn0.5Ti0.01V0.01O2 (2NFMTV) was found to be 187.12 mAh g−1 at a rate of 0.1 C, which was greater than the discharge capacity of 175.15 mAh g−1 observed for pure NFM (Na0.67Mn0.5Fe0.5O2). In contrast, 2NFMTV exhibited a noteworthy capacity retention of 46.1% when evaluated for its original capacity after undergoing 150 cycles at a rate of 0.1 C. This research also established a structural doping approach as a feasible technique for advancing the progress of next-generation Sodium-ion Batteries.
Multiloss Joint Gradient Control Knowledge Distillation for Image Classification
Authors: He Wei , Pan Jianchen , Zhang Jianyu , Zhou Xichuan , Liu Jialong , Huang Xiaoyu , Lin Yingcheng
Published: October 2024

Knowledge distillation (KD) techniques aim to transfer knowledge from complex teacher neural networks to simpler student networks. In this study, we propose a novel knowledge distillation method called Multiloss Joint Gradient Control Knowledge Distillation (MJKD), which functions by effectively combining feature- and logit-based knowledge distillation methods with gradient control. The proposed knowledge distillation method discretely considers the gradients of the task loss (cross-entropy loss), feature distillation loss, and logit distillation loss. The experimental results suggest that logits may contain more information and should, consequently, be assigned greater weight during the gradient update process in this work. The empirical findings on the CIFAR-100 and Tiny-ImageNet datasets indicate that MJKD generally outperforms traditional knowledge distillation methods, significantly enhancing the generalization ability and classification accuracy of student networks. For instance, MJKD achieves a 63.53% accuracy on Tiny-ImageNet for the ResNet18 MobileNetV2 pair. Furthermore, we present visualizations and analyses to explore its potential working mechanisms.
Optimizing Football Formation Analysis via LSTM-Based Event Detection
Authors: Orr Benjamin , Pan Ephraim , Lee Dah-Jye
Published: October 2024

The process of manually annotating sports footage is a demanding one. In American football alone, coaches spend thousands of hours reviewing and analyzing videos each season. We aim to automate this process by developing a system that generates comprehensive statistical reports from full-length football game videos. Having previously demonstrated the proof of concept for our system, here, we present optimizations to our preprocessing techniques along with an inventive method for multi-person event detection in sports videos. Employing a long short-term memory (LSTM)-based architecture to detect the snap in American football, we achieve an outstanding LSI (Levenshtein similarity index) of 0.9445, suggesting a normalized difference of less than 0.06 between predictions and ground truth labels. We also illustrate the utility of snap detection as a means of identifying the offensive players’ assuming of formation. Our results exhibit not only the success of our unique approach and underlying optimizations but also the potential for continued robustness as we pursue the development of our remaining system components.
Nuclear Magnetic Resonance and Artificial Intelligence
Authors: Kuhn Stefan , de Jesus Rômulo Pereira , Borges Ricardo Moreira
Published: October 2024

This review explores the current applications of artificial intelligence (AI) in nuclear magnetic resonance (NMR) spectroscopy, with a particular emphasis on small molecule chemistry. Applications of AI techniques, especially machine learning (ML) and deep learning (DL) in the areas of shift prediction, spectral simulations, spectral processing, structure elucidation, mixture analysis, and metabolomics, are demonstrated. The review also shows where progress is limited.
Unveiling Anomalies in Terrain Elevation Products from Spaceborne Full-Waveform LiDAR over Forested Areas
Authors: Jiang Hailan , Li Yi , Yan Guangjian , Li Weihua , Li Linyuan , Yang Feng , Ding Anxin , Xie Donghui , Mu Xihan , Li Jing , Xu Kaijian , Zhao Ping , Geng Jun , Morsdorf Felix
Published: October 2024

Anomalies displaying significant deviations between terrain elevation products acquired from spaceborne full-waveform LiDAR and reference elevations are frequently observed in assessment studies. While the predominant focus is on “normal” data, recognizing anomalies within datasets obtained from the Geoscience Laser Altimeter System (GLAS) and the Global Ecosystem Dynamics Investigation (GEDI) is essential for a comprehensive understanding of widely used spaceborne full-waveform data, which not only facilitates optimal data utilization but also enhances the exploration of potential applications. Nevertheless, our comprehension of anomalies remains limited as they have received scant specific attention. Diverging from prevalent practices of directly eliminating outliers, we conducted a targeted exploration of anomalies in forested areas using both transmitted and return waveforms from the GLAS and the GEDI in conjunction with airborne LiDAR point cloud data. We unveiled that elevation anomalies stem not from the transmitted pulses or product algorithms, but rather from scattering sources. We further observed similarities between the GLAS and the GEDI despite their considerable disparities in sensor parameters, with the waveforms characterized by a low signal-to-noise ratio and a near exponential decay in return energy; specifically, return signals of anomalies originated from clouds rather than the land surface. This discovery underscores the potential of deriving cloud-top height from spaceborne full-waveform LiDAR missions, particularly the GEDI, suggesting promising prospects for applying GEDI data in atmospheric science—an area that has received scant attention thus far. To mitigate the impact of abnormal return waveforms on diverse land surface studies, we strongly recommend incorporating spaceborne LiDAR-offered terrain elevation in data filtering by establishing an elevation-difference threshold against a reference elevation. This is especially vital for studies concerning forest parameters due to potential cloud interference, yet a consensus has not been reached within the community.
Exploring Functional Gene XsPDAT1’s Involvement in Xanthoceras sorbifolium Oil Synthesis and Its Acclimation to Cold Stress
Authors: Wang Juan , Ren Hongqian , Shi Zetao , Phillip Fesobi Olumide , Liu Sisi , Zhang Weiyang , Wang Xingqiang , Bao Xueping , Guo Jinping
Published: October 2024

Phospholipid: diacylglycerol acyltransferase (PDAT) is crucial in triacylglycerol (TAG) synthesis as it represents the final rate-limiting step of the acyl-CoA-independent acylation reaction. PDAT not only regulates lipid synthesis in plants, but also plays an important function in improving stress tolerance. In this study, the full-length coding sequence (CDS) of XsPDAT1, totaling 2022 base pairs and encoding 673 amino acids, was cloned from Xanthoceras sorbifolium. The relative expression of XsPDAT1 was significantly and positively correlated with oil accumulation during seed kernel development; there were some differences in the expression patterns under different abiotic stresses. Transgenic Arabidopsis thaliana plants overexpressing XsPDAT1 were obtained using the Agrobacterium-mediated method. Under low-temperature stress, the transgenic plants exhibited a smaller decrease in chlorophyll content, a smaller increase in relative conductivity, and a larger increase in POD enzyme activity and proline content in the leaves compared with the wild type. Additionally, lipid composition analysis revealed a significant increase in unsaturated fatty acids, such as oleic (C18:1) and linoleic (C18:2), in the seeds of transgenic plants compared to the wild type. These results suggest that XsPDAT1 plays a dual role in regulating the ratio of fatty acid composition and low-temperature stress in plants.
Ozonation of Popcorn Kernels: Saturation Kinetics at Different Specific Flow Rates, Control of Aspergillus flavus Infection, and Grain Quality Analysis
Authors: Silva Marcus Vinícius Assis , Faroni Lêda Rita D’Antonino , de Alencar Ernandes Rodrigues , Viana José Marcelo Soriano , Sitoe Eugénio da Piedade Edmundo , Salvador Davi Vittorazzi , Mason Filho Vivaldo , Magalhães Carollayne Gonçalves
Published: October 2024

Ozone gas (O3) is a promising alternative for fungal inactivation in agricultural commodities. This study aimed to (i) investigate the influence of airflow on the saturation of popcorn kernels with ozone gas, (ii) evaluate its effectiveness in controlling Aspergillus flavus, and (iii) analyze the quality of ozonated grains. Samples of 3.0 kg of kernels were exposed to oxygen (control) or ozone at specific flow rates of 0.15 or 1.00 m3 min−1 t−1, with an input ozone concentration of 16.0 mg L−1 for 0, 6, 12, 24, 36, or 48 h. Quality parameters assessed included expansion volume, water content, electrical conductivity, and color. At 0.15 m3 min−1 t−1, ozone consumption and saturation time were lower, with an 80% reduction in A. flavus infection after 6 h. This flow rate did not affect grain expansion or water content. Conversely, at 1.0 m3 min−1 t−1, reductions in water content and expansion were observed with extended exposure. Electrical conductivity increased in both treatments, more significantly at the lower flow rate. In conclusion, ozonation at 0.15 m3 min−1 t−1 effectively inactivated A. flavus without compromising grain quality.
The Use of Fluorescence Spectrometry Combined with Statistical Tools to Determine the Botanical Origin of Honeys
Authors: Wilczyńska Aleksandra , Żak Natalia
Published: October 2024

At a time when the botanical origin of honey is being increasingly falsified, there is a need to find a quick, cheap and simple method of identifying its origin. Therefore, the aim of our work was to show that fluorescence spectrometry, together with statistical analysis, can be such a method. In total, 108 representative samples with 10 different botanic origins (9 unifloral and 1 multifloral), obtained in 2020–2022 from local apiaries, were analyzed. The fluorescence spectra of those samples were determined using a F-7000 Hitachi fluorescence spectrophotometer, Tokyo, Japan. It is shown that each honey variety produces a unique emission spectrum, which allows for the determination of its botanical origin. Taking into account the difficulties in analyzing these spectra, it was found that the most information regarding botanical differences and their identification is provided by synchronous cross-sections of these spectra obtained at Δλ = 100 nm. In addition, this analysis was supported by discriminant and canonical analysis, which allowed for the creation of mathematical models, allowing for the correct classification of each type of honey (except dandelion) with an accuracy of over 80%. The application of the method is universal (in accordance with the methodology described in this paper), but its use requires the creation of fluorescence spectral matrices (EEG) characteristic of a given geographical and botanical origin.
Characterization and Evaluation of Taihe Black-Boned Silky Fowl Eggs Based on Physical Properties, Nutritive Values, and Flavor Profiles
Authors: Zhang Libo , Xu Mengru , Liu Fang , Li Ru , Azzam Mahmoud M. , Dong Xinyang
Published: October 2024

Taihe black-boned silky fowl (TS) is a native chicken breed in China with more than 2000 years of history. The present study aimed to characterize and evaluate the physical, nutritional, and flavor properties of TS eggs with a comparison to two other commercial breeds. Eggs from TS (n = 60) crossbred black-boned silky fowl (CB, n = 60) and Hy-line Brown (HL, n = 60) were used for physicochemical analysis. The evaluation system was divided into four parts based on nutrient and flavor profiles: protein and amino acids, lipids and fatty acids, mineral elements, and flavor-related amino acids and volatile compounds. Results showed that TS eggs were typically associated with the lowest egg weight and the highest yolk color, as compared with CB and HL eggs. No differences were found in crude protein, crude fat, triglycerides, and cholesterol content between eggs from the different breeds, but these eggs were distinct in terms of the amino acid, fatty acid, and volatile flavor compound profiles. Moreover, the differences in amino acid and fatty acid profiles might contribute to the specific flavor of TS eggs. Evaluation results indicated that TS egg whites may be suitable as a protein source for premature infants and young children under three years old and TS egg yolks could be considered a beneficial dietary lipid source due to their potential anti-cardiovascular properties. Additionally, TS whole eggs could serve as a valuable source of selenium (Se), molybdenum (Mo), zinc (Zn), and phosphorus (P) for adults aged 18 to 65. However, TS and CB eggs showed inferior Haugh units, eggshell quality, and essential amino acid compositions for older children, adolescents, and adults. These findings provide a better insight into the health benefits of TS eggs and contribute to the breeding and nutrition regulation of TS breeds.
The Effect of Reduced Nitrogen Fertilizer Application on japonica Rice Based on Volatile Metabolomics Analysis
Authors: Wu Jiahao , Wang Qian , Zhang Dong , Duan Xiaoliang , Sun Hui
Published: October 2024

Nitrogen is critical for rice yield and quality, but its overuse can be detrimental to efficiency and the environment. To identify changes in the quality of rice in response to the reduced application of nitrogen fertilizer, we carried out a comprehensive metabolomics study of SuiJing 18 using volatile metabolomics methods. Our results showed that SuiJing 18 had a total of 358 volatile metabolites, mainly lipids (16.25%), terpenoids (15.41%), heterocyclic compounds (15.13%), and hydrocarbons (13.45%). SuiJing 18 underwent significant changes in response to the reduced application of nitrogen fertilizer. Key sweet volatile compounds such as 4-methyl-benzeneacetaldehyde, hexyl acetate, and 2-methylnaphthalene were present at significantly higher levels when nitrogen fertilizer was applied at a rate of 68 kg of pure nitrogen per hectare, and their flavor characteristics also differed significantly from the compounds resulting from the other two treatments. Focusing on 16 differential volatile metabolites, we further investigated their effects on flavor and quality, thus laying the foundation for a greater understanding of the biomarkers associated with changes in rice quality. This study contributes to a better understanding of the mechanisms underlying changes in rice quality after reduced nitrogen fertilizer application.
Key Drivers of Consumption, Conceptual, Sensory, and Emotional Profiling of Cheeses Based on Origin and Consumer Familiarity: A Case Study of Local and Imported Cheeses in Greece
Authors: Panagiotou Malamatenia , Kaloudis Efstathios , Koukoumaki Danai Ioanna , Bountziouka Vasiliki , Giannakou Evangelia , Pandi Margarita , Gkatzionis Konstantinos
Published: October 2024

The origin of a product, consumer familiarity, and purchasing identity are factors that affect the perception of cheese consumption. The present study aims at identifying consumers’ conceptualizations and attitudes towards local Greek cheeses of the North-Aegean Sea islands, such as Ladotyri, Graviera, Kasseri, Kaskavali, Melichloro, and Kalathaki, some of which have a Protected Designation of Origin (PDO) status, as opposed to cheeses of non-Greek origin, such as Cheddar, Regatto, and Gouda. Sensory and emotional attributes of local, local PDO, and imported cheeses, as well as drivers associated with consumers’ choice and acceptance above and beyond their sensory attributes, were studied using three methods: (a) flash profile to gain insight into the sensory positioning of products and description of samples; (b) qualitative analysis of focus groups to pinpoint consumer knowledge, preference, and consumption criteria; and (c) a new methodology for natural language processing and sentiment analysis of social media posts to determine consumer conceptualizations. Social media posts have proven to be a valuable source of linguistic and cultural data for cheeses. Local cheeses, including PDO products, were found to be linked to village life and family gatherings, home, tradition, and childhood memories, with saltiness and hardness being their main sensory attributes. Imported cheeses were linked to fast food, pizza, and snacking, with elasticity and gumminess as prominent sensory qualities. The main criteria for purchase were intended usage and versatility, taste and texture, price, and familiarity. The findings provide key sensory attributes, information about consumer purchasing criteria, and relevant vocabulary for the promotion of cheeses as agri-food and gastronomic identity key products.
Exploring Eye, Hair, and Skin Pigmentation in a Spanish Population: Insights from Hirisplex-S Predictions
Authors: Navarro-López Belén , Baeta Miriam , Suárez-Ulloa Victoria , Martos-Fernández Rubén , Moreno-López Olatz , Martínez-Jarreta Begoña , Jiménez Susana , Olalde Iñigo , de Pancorbo Marian M.
Published: October 2024

Background/Objectives: Understanding and predicting human pigmentation traits is crucial for individual identification. Genome-wide association studies have revealed numerous pigmentation-associated SNPs, indicating genetic overlap among pigmentation traits and offering the potential to develop predictive models without the need for analyzing large numbers of SNPs. Methods: In this study, we assessed the performance of the HIrisPlex-S system, which predicts eye, hair, and skin color, on 412 individuals from the Spanish population. Model performance was calculated using metrics including accuracy, area under the curve, sensitivity, specificity, and positive and negative predictive value. Results: Our results showed high prediction accuracies (70% to 97%) for blue and brown eyes, brown hair, and intermediate skin. However, challenges arose with the remaining categories. The model had difficulty distinguishing between intermediate eye colors and similar shades of hair and exhibited a significant percentage of individuals with incorrectly predicted dark and pale skin, emphasizing the importance of careful interpretation of final predictions. Future studies considering quantitative pigmentation may achieve more accurate predictions by not relying on categories. Furthermore, our findings suggested that not all previously established SNPs showed a significant association with pigmentation in our population. For instance, the number of markers used for eye color prediction could be reduced to four while still maintaining reasonable predictive accuracy within our population. Conclusions: Overall, our results suggest that it may be possible to reduce the number of SNPs used in some cases without compromising accuracy. However, further validation in larger and more diverse populations is essential to draw firm conclusions and make broader generalizations.
Instruments for Patient Safety Assessment: A Scoping Review
Authors: Nunes Elisabete , Sirtoli Fernanda , Lima Eliane , Minarini Greyce , Gaspar Filomena , Lucas Pedro , Primo Cândida
Published: October 2024

Background: Patient safety is an important component of healthcare service quality, and there are numerous instruments in the literature that measure patient safety. This scoping reviewaims to map the instruments/scales for assessing patient safety in healthcare services. Method: This scoping review follows the JBI methodology. The protocol was registered on the Open Science Framework. Eligibility criteria were defined based on studies that include instruments or scales for assessing patient safety in healthcare services, in any language, and without temporal restrictions. It adhered to all scoping review checklist items [PRISMA-ScR], with searches in the Embase, Lilacs, MedLine, and Scopus databases, as well as the repository of the Brazilian Digital Library of Theses and Dissertations. Two independent reviewers performed selection and data extraction in July 2023. Results: Of the 4019 potential titles, 63 studies reported on a total of 47 instruments/scales and 71 dimensions for patient safety assessment. The most-described dimensions were teamwork, professional satisfaction, safety climate, communication, and working conditions. Conclusion: The diversity of instruments and dimensions for patient safety assessment characterizes the multidimensionality and scope of patient safety. However, it hinders benchmarking between institutions and healthcare units.
Research Progress on Physical Preservation Technology of Fresh-Cut Fruits and Vegetables
Authors: Chen Dixin , Zhang Yang , Zhao Jianshe , Liu Li , Zhao Long
Published: October 2024

Fresh-cut fruits and vegetables have become more popular among consumers because of their nutritional value and convenience. However, the lower shelf life of fresh-cut fruits and vegetables due to processing and mechanical damage is a critical factor affecting their market expansion, and advances in preservation technology are needed to prolong their shelf life. Some traditional chemical preservatives are disliked by health-seeking consumers because of worries about toxicity. Chemical preservation is inexpensive and highly efficient, but sometimes it carries risks for human health. Biological preservation methods are safer and more appealing, but they are not applicable to large-scale production. Physical fresh-keeping methods have been used for the storage and transportation of fresh-cut fruits and vegetables due to the ease of application. This review discusses current research in fresh-keeping technology for the preservation of fresh-cut fruits and vegetables. Preservation methods include low temperature, modified atmosphere packaging, cold plasma, pulsed light, ultrasonics, ultraviolet light, and ozonated water. As promising alternatives to chemical methods, these novel processes have been evaluated singly or combined with natural preservatives or other methods to extend the shelf life of fresh-cut fruits and vegetables and to provide references and assessments for further development and application of fresh-cut fruit and vegetable preservation technology.
Optimizing Lemon Balm (Melissa Officinalis L.) Cultivation: Effects of Different Manures on Plant Growth and Essential Oil Production During Consecutive Harvests
Authors: Fallah Sina , Maggi Filippo , Ghanbari-Odivi Askar , Rostaei Maryam
Published: October 2024

This study examined the impact of organic manures from different sources (poultry, sheep, and cattle) on lemon balm (Melissa officinalis L., Lamiaceae) during different harvests. Manure application increased the photosynthetic pigments levels (chlorophyll-a, 9–41%; chlorophyll-b, 24–60%), biomass (41–60%), and essential oil yield (60–71%). Sheep manure treatment exhibited the highest antioxidant capacity among all the manures tested. Through GC-MS and GC-FID analysis, 10 chemical constituents were identified in the essential oil, accounting together for 91–95% of the total composition. The primary chemical component was geranial (39–46%), followed by neral (28–35%), (E)-caryophyllene (4.7–11%), geranyl acetate (2.7–5.9%), and caryophyllene oxide (1.7–4.8%). The utilization of livestock manures significantly improved the quality of the essential oil in terms of neral and geranial percentages compared to the control. Notably, during mid-August and early October, there was a substantial rise in these valuable compounds. However, a decrease in geranyl acetate and oxygenated monoterpenes resulted in a decline of the antioxidant capacity to 3%. Consequently, it is recommended to utilize essential oils from the second and third harvests for industrial purposes. Overall, the use of livestock manures, especially sheep manure, as a nutrient source for lemon balm cultivation, proves to be a viable approach for producing high-quality essential oils.