bluuebunny/crossref_metadata_2025 huggingface dataset:
Diagnostic Accuracy of Flow Cytometric DNA Index in Saudi Children with B Cell Acute Lymphoblastic Leukemia
Authors: Alatawi Dalal , Bakhsh Ismail , Tashkandi Soha , Alqarni Abdullah , Shaik Abjal Pasha , Abudawood Manal
Published: July 2023

B cell Acute Lymphoblastic Leukemia (B-ALL) is one of the most common types of cancer diagnosed in children in Saudi Arabia. Cytogenetic investigations, including karyotyping and FISH, are used to determine the incidence and prognostic significance of chromosomal abnormalities in B-ALL. However, in ALL, accurate identification of the morphology of chromosomes is sometimes not achieved. Flow cytometric DI may have the advantage of being technically fast, using either fresh or frozen samples to correctly stratify the patient into the appropriate risk group for treatment. In this study, we evaluated the reliability and validity of using fixed samples instead of fresh samples to determine aneuploidy in cancer cells using a DNA index. The results of the DNA index obtained by flow cytometry were compared with those of conventional cytogenetic analysis to validate the accuracy. Fixed samples (n = 72) from children diagnosed with B-ALL at King Fahad Medical City in Riyadh between 2017 and 2019 were investigated. The results showed strong and statistically significant positive correlation between DNAI-FCM and conventional cytogenetic analysis (p = 0.000 < 0.01). The DNA index value by flow cytometry was proportional to the cytogenetic study in 94.36% (67) of the cases, while discrepancy was observed in 5.6% (four) cases. Our findings highlight the ability of the DNA index method to provide complementary information for the accurate diagnosis of aneuploidy in patients with B-ALL.
Toward Improved Machine Learning-Based Intrusion Detection for Internet of Things Traffic
Authors: Alkadi Sarah , Al-Ahmadi Saad , Ben Ismail Mohamed Maher
Published: July 2023

The rapid development of Internet of Things (IoT) networks has revealed multiple security issues. On the other hand, machine learning (ML) has proven its efficiency in building intrusion detection systems (IDSs) intended to reinforce the security of IoT networks. In fact, the successful design and implementation of such techniques require the use of effective methods in terms of data and model quality. This paper encloses an empirical impact analysis for the latter in the context of a multi-class classification scenario. A series of experiments were conducted using six ML models, along with four benchmarking datasets, including UNSW-NB15, BOT-IoT, ToN-IoT, and Edge-IIoT. The proposed framework investigates the marginal benefit of employing data pre-processing and model configurations considering IoT limitations. In fact, the empirical findings indicate that the accuracy of ML-based IDS detection rapidly increases when methods that use quality data and models are deployed. Specifically, data cleaning, transformation, normalization, and dimensionality reduction, along with model parameter tuning, exhibit significant potential to minimize computational complexity and yield better performance. In addition, MLP- and clustering-based algorithms outperformed the remaining models, and the obtained accuracy reached up to 99.97%. One should note that the performance of the challenger models was assessed using similar test sets, and this was compared to the results achieved using the relevant pieces of research.
Remineralization of Early Enamel Lesions with Apatite-Forming Salt
Authors: Carey Clifton M.
Published: July 2023

Objectives: This study sought to evaluate the remineralization of ex vivo human teeth using commercially available artificial saliva, SalivaMAX®, a supersaturated calcium phosphate rinse (SSCPR). Methods: early enamel lesions were artificially induced on ex vivo human teeth by chemical means. The teeth were exposed to the SSCPR for two minutes (experimental) or dH2O (control) four times per day for a total of 35 days. At time points of 0, 2.5, 21, and 35 days, micro-CT was utilized to determine the mineral density profile across the lesion and evaluate lesion depth. The relative percent remineralization was calculated from the initial lesion depth (Time 0) at each evaluation time. Student’s t-test was used to compare the extent of remineralization between the SSCPR and control groups for statistical significance at each time. To evaluate the changes in percent remineralization over time, a two-way ANOVA was used. Results: At Time 0 and 2.5 days, there was no difference in the percent remineralization between the SSCPR and control groups (p > 0.05). After 21 days, the teeth exposed to the SSCPR remineralized 56.7 ± 3.7%, while the control only remineralized 10.7 ± 11.0% (p < 0.0001). At day 35, the remineralization was 73.7 ± 5.4% and 18.2 ± 10.8% (p < 0.0001) for the SSCPR and control groups, respectively. Conclusions: A marked increase in remineralization occurred with the use of the SSCPR. Notably, the remineralization of the SSCPR occurred deep within the tooth and progressed toward the surface over time.
Emergence of Inequality in Income and Wealth Dynamics
Authors: Cho Changhee , Park Jihun , Mafwele Biseko Juma , Le Quang Anh , Park Hye Jin , Lee Jae Woo
Published: July 2023

Increasing wealth inequality is a significant global issue that demands attention. While the distribution of wealth varies across countries based on their economic stages, there is a universal trend observed in the distribution function. Typically, regions with lower wealth values exhibit an exponential distribution, while regions with higher wealth values demonstrate a power-law distribution. In this review, we introduce measures that effectively capture wealth inequality and examine wealth distribution functions within the wealth exchange model. Drawing inspiration from the field of econophysics, wealth exchange resulting from economic activities is likened to a kinetic model, where molecules collide and exchange energy. Within this framework, two agents exchange a specific amount of wealth. As we delve into the analysis, we investigate the impact of various factors such as tax collection, debt allowance, and savings on the wealth distribution function when wealth is exchanged. These factors play a crucial role in shaping the dynamics of wealth distribution.
Non-Additive Entropic Forms and Evolution Equations for Continuous and Discrete Probabilities
Authors: Curado Evaldo M. F. , Nobre Fernando D.
Published: July 2023

Increasing interest has been shown in the subject of non-additive entropic forms during recent years, which has essentially been due to their potential applications in the area of complex systems. Based on the fact that a given entropic form should depend only on a set of probabilities, its time evolution is directly related to the evolution of these probabilities. In the present work, we discuss some basic aspects related to non-additive entropies considering their time evolution in the cases of continuous and discrete probabilities, for which nonlinear forms of Fokker–Planck and master equations are considered, respectively. For continuous probabilities, we discuss an H-theorem, which is proven by connecting functionals that appear in a nonlinear Fokker–Planck equation with a general entropic form. This theorem ensures that the stationary-state solution of the Fokker–Planck equation coincides with the equilibrium solution that emerges from the extremization of the entropic form. At equilibrium, we show that a Carnot cycle holds for a general entropic form under standard thermodynamic requirements. In the case of discrete probabilities, we also prove an H-theorem considering the time evolution of probabilities described by a master equation. The stationary-state solution that comes from the master equation is shown to coincide with the equilibrium solution that emerges from the extremization of the entropic form. For this case, we also discuss how the third law of thermodynamics applies to equilibrium non-additive entropic forms in general. The physical consequences related to the fact that the equilibrium-state distributions, which are obtained from the corresponding evolution equations (for both continuous and discrete probabilities), coincide with those obtained from the extremization of the entropic form, the restrictions for the validity of a Carnot cycle, and an appropriate formulation of the third law of thermodynamics for general entropic forms are discussed.
Multiple Linear-Combination Security Network Coding
Authors: Bai Yang , Guang Xuan , Yeung Raymond W.
Published: July 2023

In this paper, we put forward the model of multiple linear-combination security multicast network coding, where the wiretapper desires to obtain some information about a predefined set of multiple linear combinations of the source symbols by eavesdropping any one (but not more than one) channel subset up to a certain size r, referred to as the security level. For this model, the security capacity is defined as the maximum average number of source symbols that can be securely multicast to all sink nodes for one use of the network under the linear-combination security constraint. For any security level and any linear-combination security constraint, we fully characterize the security capacity in terms of the ratio of the rank of the linear-combination security constraint to the number of source symbols. Also, we develop a general construction of linear security network codes. Finally, we investigate the asymptotic behavior of the security capacity for a sequence of linear-combination security models and discuss the asymptotic optimality of our code construction.
From TPACK to DPACK: The “Digitality-Related Pedagogical and Content Knowledge”-Model in STEM-Education
Authors: Thyssen Christoph , Huwer Johannes , Irion Thomas , Schaal Steffen
Published: July 2023

Digitalization is a keyword in the discourse of educational science, but it is often linked to technological challenges, although digital changes occur throughout society. Therefore, STEM teachers are required to cope with technological changes in the subject, the increasing and diverse education and training technologies, and the ever-changing paths of information and communication of adolescents in their role as members of a changing society and culture. The TPACK-model focuses educators’ professional knowledge based on teachers’ expertise concerning technological knowledge per se and the pedagogy and content of their subjects. In contrast, knowledge relevant to daily life and social and cultural interaction beyond this is not clearly included in the TPACK-model at present. This article proposes supplementing the TPACK-model with the knowledge components of digital cultural transformations (digitality) and, therefore, extending the TPACK-model to a DPACK-model, where D stands for digitality. Therefore, digital transformation in STEM teaching requires additional professional knowledge considering the transformation of communication, mediatization and society. Through this expansion, the focus should also be directed on the necessity that children and young people in the digitally shaped world must also be able to critically reflect on the processes of change and shape them in an ethically responsible manner. For this reason, teachers require professional knowledge to reflect, analyze, use and shape the digital transformation, which is regularly demanded of them by national and international educational standards. As a foundation of STEM teachers’ education and training, an integrated model combining these facets of knowledge and skills is provided for discussion, and, as a result, quickly found its way into the educational policy guidelines and educational science discourses in Germany. In order to integrate the sociocultural consequences of digitalization into TPACK, this paper proposes a new hemisphere, sociocultural knowledge, which extends the existing TPACK components.
DANet: A Semantic Segmentation Network for Remote Sensing of Roads Based on Dual-ASPP Structure
Authors: Zhao Shuang , Feng Zezhen , Chen Lei , Li Guandian
Published: July 2023

Semantic segmentation of roads in remote-sensing images is a challenging task. This paper proposes a semantic segmentation model, DANet, for remote-sensing image road semantic segmentation. The model addresses the problems of missing, misclassification, and strong jaggedness of segmented target edges faced by other semantic segmentation networks when dealing with complex and diverse remote-sensing images. The proposed model uses two ASPP structures for multi-scale feature fusion and combines the DarkNet network structure for downsampling with the SegNet network structure for upsampling. This improves the model’s ability to extract road feature information from remote-sensing images. Using the CHN–CUG Roads Dataset, we have confirmed that the proposed network structure, Re, has demonstrated a 1.15% improvement in accuracy compared to U-Net. Furthermore, the road IoU has shown a 1.09% enhancement compared to HRNet-V2. Additionally, there is a 1.13% increase in F1-score compared to U-Net.
Towards System-Level Simulation of a Miniature Electromagnetic Energy Harvester Model
Authors: Yuan Chengdong , Schütz Arwed , Hohlfeld Dennis , Bechtold Tamara
Published: July 2023

Energy harvesting, a solution to provide a lifetime power supply to wireless sensor nodes, has attracted widespread attention in the last two decades. An energy harvester collects ambient energy, e.g., solar, thermal, or vibration energy, and transforms it into electrical energy. In this work, we work on an electromagnetic energy harvester model, which is composed of four magnets oscillating along a coil. Such a device converts the vibrational energy into electrical energy. We reproduce the electromagnetic energy harvester model in finite element-based software. In order to include this model in a system-level simulation, the methodology of extracting a look-up table-based equivalent circuit model is presented. Such an equivalent circuit model enables the interaction of the electromagnetic energy harvester model with both electrical and mechanical compact models at the system-level. Furthermore, the matrix interpolation-based and algebraic parameterization-based parametric model order reduction methods are suggested for speeding up the generation of the equivalent circuit model and the design optimization process with respect to magnet dimensions. The efficiencies of these two methods are investigated and compared.
A Collaborative Planning Method for the Source and Grid in a Distribution System That Considers Risk Measurement
Authors: Deng Jiahao , Lin Lingxue , Zhang Yongjie , Ma Yuxin
Published: July 2023

The existing distribution system planning methods do not fully consider improving power supply capacity and reliability through the coordination of multiple planning factors, and they are not comprehensive enough in quantifying planning risks. Therefore, this paper proposes a collaborative planning method for sources and networks that considers risk measurement. A multi-layer planning model is first constructed that includes a grid planning layer, a power planning layer, a switch planning layer, and an operation optimization layer. In the model, a risk measurement method combining opportunity constraints and conditional value-at-risk objectives is used to comprehensively assess the risk of the node voltage and branch current exceeding the limit caused by load uncertainty. Then, a solution strategy based on a genetic algorithm and a sparrow search algorithm is proposed to coordinate the contradiction between the solution time and the accuracy of the multi-layer model. Finally, taking a planned area to be expanded as an example, the results show that compared to the existing collaborative planning methods for sources and networks, the proposed method in this paper reduces the planning risks caused by load uncertainty by more than 50% and increases the annual net income of the power distribution company and the DG operators by RMB 1.5 million and RMB 1.1 million, respectively.
Research Status, Existing Problems, and the Prospect of New Methods of Determining the Lower Limit of the Physical Properties of Tight Sandstone Reservoirs
Authors: Wang Weiming , Liu Qingguo , Liu Yingnan , Zhang Rigong , Cheng Tian , Yan Youguo , Hu Qianze , Li Tingting
Published: July 2023

At present, many methods are used to determine the lower limits of physical properties (PPLLs) of tight sandstone reservoirs, such as empirical statistics, oil occurrence, and logging parameter crossplots, but the accuracy with which these methods obtain the lower limit of physical properties depends entirely on the number of test production data, and they are not suitable for tight sandstone reservoirs with a low degree of exploration and a lack of prediction. Compared to these mature methods, it can be concluded that the water-film-thickness-based method, which integrates factors such as formation temperature, formation pressure, mineral wettability, and formation water salinity, can characterize PPLLs using the minimum pore throat radius for hydrocarbon migration, which has a better theoretical basis and technical advantages. However, the water-film thickness is not a fixed value and cannot be directly measured in the laboratory. The molecular simulation method, known as a computational microscope, has become an effective means of investigating nano effects. By accurately investigating the interactions between rock minerals and the formation of water on atomic and molecular scales based on increasingly improved studies of the molecular force field, this method can overcome the deficiencies of the laboratory study of water films and precisely characterize the water films’ thickness. The intersection of molecular simulation and geology can bring about new methods and new research ideas for determining the lower limit of the physical properties of tight sandstone reservoirs and has broad application prospects.
Diagnosis of Challenges and Uncertainties for Implementation of Sustainable Aviation Fuel (SAF) in Colombia, and Recommendations to Move Forward
Authors: López Gómez Mauricio , Posada John , Silva Vladimir , Martínez Lina , Mayorga Alejandro , Álvarez Oscar
Published: July 2023

This article reviews the current scenario and the main uncertainties and challenges associated with implementing Sustainable Aviation Fuel (SAF) in Colombia, from which it determines the possible certified technologies under the ASTM D 7566 standard as well as co-processing technologies contemplated within the ASTM D 1655 standard, more suitable for the implementation of SAF production. Likewise, through the PESTEL tool (Political, Economic, Social, Technological, Environmental, and Legal), a diagnosis is made in order to obtain an updated overview of the implementation of SAF in Colombia. Based on the above, it provides recommendations to mitigate the uncertainties identified, and it is complemented by the ECOCANVAS tool, which applies to businesses related to the circular economy, and also include the net production potential of SAF in Colombia, considering the production of feedstock, in agricultural residue of sugarcane, oil palm, corn, and coffee. This study concludes with some policy recommendations that can make SAF implementation viable and allow responsible institutions to organize themselves for better strategic action and identify the fields of research and the need for investment in R + D + i to strengthen the supply chain.
Burn Severity Effect on the Short-Term Functional Response of Quercus ilex after Fire
Authors: Parra Antonio , Hinojosa M. Belén
Published: July 2023

Understanding how fire severity affects resprouting plants during post-fire regeneration is key to anticipating Mediterranean vegetation vulnerability in a context of increasingly large fires with high intensity and severity due to climate change. Here, we monitored the water status, leaf gas exchange, and plant growth in holm oaks (Quercus ilex) of central Spain burned with different fire severity throughout the first post-fire year. The Q. ilex burned with high severity (HB+) showed higher water potential and shoot growth than those burned with low severity (LB+) or unburned (B−), especially during spring and summer. In summer, resprouting HB+ and LB+ plants exhibited higher carbon assimilation than unburned ones. Moreover, we also found that plants with higher water availability and growth, i.e., HB+ individuals, had higher specific leaf area and lower water use efficiency. Overall, our study shows that holm oak forests exhibit high plasticity to fire and that Q. ilex burned with high severity have a faster short-term regeneration than those burned with low severity. However, this rapid regeneration is based on a less conservative water-use strategy, which could jeopardize their populations in case of extreme drought events increasingly common in the current context of climate change.
The Release Behavior of Anthraquinones Encapsulated into Casein Micelles during In Vitro Digestion
Authors: Sadiq Uzma , Shahid Fatima , Gill Harsharn , Chandrapala Jayani
Published: July 2023

The degradation of anthraquinones extracted from aloe vera plants can be prevented by encapsulating them in casein micelles (CMs). The oral, gastric, and intestinal digestion behavior of spray-dried microcapsules of casein micelles loaded with aloe vera-extracted anthraquinone powder (CMAQP), freeze-dried powder (CMFDP), and whole-leaf aloe vera gel (CMWLAG) obtained through ultrasonication was investigated. The results found that CMAQP and CMFDP dissolved slowly and coagulated into large curds during gastric digestion, improving the retention of anthraquinones in the digestive tract. In contrast, CMWLAG structure was destroyed and increased amounts of anthraquinones were released during oral and gastric digestion phases, indicating increased amounts of surface anthraquinones instead of the encapsulation of anthraquinones in the interior of CMs. The strong hydrophobic interactions protected anthraquinones within the core of CM for CMAQP and delayed diffusion. However, during SIF digestion, both CMAQP and CMFDP released significant amounts of anthraquinones, although CMAQP showed a much more controlled release for both aloin and aloe-emodin over SIF digestion time. The release behavior of anthraquinones from CM microcapsules was a function of the type of anthraquinone that was used to encapsulate. The present study provides insight into the release behavior of loaded bioactive compounds using food-grade CMs as the wall material during in vitro digestion and highlights the importance of the type of bioactive component form that will be encapsulated.
Effects of Cold Plasma Treatment Conditions on the Lipid Oxidation Kinetics of Tilapia Fillets
Authors: Liu Chencheng , Wang Jiamei , Wang Yuanyuan , Chen Gu
Published: July 2023

This study investigated the effects of different cold plasma treatment conditions on the lipid oxidation kinetics of tilapia fillets. The results indicated that increasing the voltage and prolonging the treatment time of cold plasma could cause an increase in the peroxide value and thiobarbituric acid-reactive substance values of the fillets. The changes in the primary and secondary oxidation rates of the lipids in the fillets under different treatment conditions were consistent with zero-order reaction kinetics. The analysis of the fitting of the Arrhenius equation showed that the effect of treatment voltage on the activation energy of lipid oxidation was higher than that of treatment time. When the voltage was higher than 64.71 kV, the activation energy of the primary oxidation of lipids was greater than that of secondary oxidation. Within 0–5 min, the activation energy of primary oxidation first increased then decreased, and was always greater than that of secondary oxidation. Therefore, the primary lipid oxidation of tilapia was more sensitive to the treatment conditions of cold plasma.
A Comparative Study of the Effects of Whole Cereals and Refined Cereals on Intestinal Microbiota
Authors: Yu Dan , Zhu Li , Gao Minjie , Yin Zhongwei , Zhang Zijian , Zhu Ling , Zhan Xiaobei
Published: July 2023

Cereals are one of the most important foods on which human beings rely to sustain basic life activities and are closely related to human health. This study investigated the effects of different steamed buns on intestinal microbiota. Three steamed buns were prepared using refined flour (RF), 1:1 mixed flour (MF), and whole wheat flour (WF). In vitro digestion simulations were conducted using a bionic gastrointestinal reactor (BGR) to examine their influence on intestinal microbiota. The results showed that at 0.5% addition, butyric acid and short-chain fatty acids in WF were significantly different from those in RF and MF (p < 0.05). WF also promoted the proliferation of beneficial microbiota, such as Megamonas and Subdoligranulum. At 0.5%, 1.0%, and 1.5% additions of WF, acetic acid and short-chain fatty acids at 1.5% WF increased by 1167.5% and 11.4% from 0.5% WF, respectively, and by 20.2% and 7.6% from 1.0% WF, respectively. WF also promoted the proliferation of Bifidobacterium, Lactobacillus, and Bacteroides and inhibited the growth of pathogenic microbiota, such as Streptococcus, Enterococcus, and Klebsiella. These findings support the consumption of whole cereals and offer insights into the development of new functional foods derived from wheat.
Elemental Profile and Health Risk of Fruška Gora Wines
Authors: Torović Ljilja , Lukić Danijela , Majkić Tatjana , Beara Ivana
Published: July 2023

The elemental composition of wine is influenced by endogenous sources and interventions from winemakers. The ICP-MS analysis of Fruška Gora wines (113) from vintages spanning across a decade (2011–2020), produced by 30 wineries and representing 18 autochthonous and international wine varieties, allowed a comprehensive insight into their elemental composition. Based on the mean concentrations of 23 investigated elements, B, Fe, and Mn, which were determined in mg per L of wine regardless of its colour or origin, were the most abundant. Red and white wines showed significant concentration differences in the case of B, Mn, and Sr (higher in red) as well as Be, Al, V, As, Mo, and Pb (higher in white). The elements of the highest toxicological concern were found in all (Pb and As) or almost all of the samples (Cd and Hg). Pb levels (maximum 47.1, 61.6, and 73.2 μg/L in red, rose, and white, respectively) were well below the legal limit. The applied risk assessment approaches (hazard quotient and index, margin of exposure) revealed no health concerns associated with consumption of Fruška Gora wines, except for a slightly increased lifetime cancer risk in the case of high wine consumption, and thus supported the promotion of Fruška Gora wines in the highly competitive international market.
Food Risk Analysis: Towards a Better Understanding of “Hazard” and “Risk” in EU Food Legislation
Authors: Cioca Ana-Andreea , Tušar Livija , Langerholc Tomaž
Published: July 2023

For risk communication, it is important to understand the difference between “hazard” and “risk”. Definitions can be found in Codex Alimentarius and the European Union (EU) General Food Regulation (EC) No. 178/2002. The use of these terms as synonyms or their interchange is a recurrent issue in the area of food safety, despite awareness-raising messages sent by EFSA (European Food Safety Authority) and other interested entities. A quick screening of the EU’s food regulations revealed several inconsistencies. Hence, it was considered necessary to further investigate if regulations could act as a source for this problem. A software tool was developed to support the detection and listing of inconsistent translations of “hazard” and “risk” in certain EU food regulations. Subsequently, native-speaking experts working in food safety from each EU country were asked to provide their individual scientific opinion on the prepared list. All data were statistically analysed after applying numerical scores (1–5) describing different levels of consistency. Results showed that the most common problem was the interchange of “hazard” with “risk” and vice versa. This lack of consistency can create confusion that can further translate into misjudgments at food risk assessment and communication levels.
Effect of Temperatures on Drying Kinetics, Extraction Yield, Phenolics, Flavonoids, and Antioxidant Activity of Phaleria macrocarpa (Scheff.) Boerl. (Mahkota Dewa) Fruits
Authors: Stephenus Fatin Nurain , Benjamin Mohammad Amil Zulhilmi , Anuar Adilah , Awang Mohd Azrie
Published: July 2023

Phaleria macrocarpa (Scheff.) Boerl. or ‘Mahkota Dewa’ is a popular plant found in Malaysia as it is a valuable source of phytochemicals and therapeutic properties. Drying is an essential step in the storage of P. macrocarpa fruits at an industrial level to ensure their availability for a prolonged shelf life as well as preserving their bioactive compounds. Hence, this study evaluates the effect of different temperatures on the drying kinetics, extraction yield, phenolics, flavonoids, and antioxidant activity of P. macrocarpa fruits. The oven-drying process was carried out in this study at temperatures of 40 °C, 50 °C, 60 °C, 70 °C, and 80 °C. Six thin-layer drying models (i.e., Lewis, Page, Henderson and Pabis, two-term exponential, Logarithmic, and Midilli and Kucuk models) were evaluated to study the behaviour of oven-dried P. macrocarpa fruits based on the coefficient of determination (R2), root mean square error (RMSE), and chi-square (χ2). The quality of the oven-dried P. macrocarpa fruits was determined based on their extraction yield, total phenolic content (TPC), total flavonoid content (TFC), and antioxidant activity (2,2-diphenyl-1-picrylhydrazyl) using ultrasound-assisted extraction. The results showed that the time for moisture removal correspondingly increased in the oven-dried P. macrocarpa fruits. Apparently, the Midilli and Kucuk model is the most appropriate model to describe the drying process. The range of effective moisture diffusivity was 1.22 × 10−8 to 4.86 × 10−8 m2/s, and the activation energy was 32.33 kJ/mol. The oven-dried P. macrocarpa fruits resulted in the highest extraction yield (33.99 ± 0.05%), TPC (55.39 ± 0.03 mg GAE/g), TFC (15.47 ± 0.00 mg RE/g), and DPPH inhibition activity (84.49 ± 0.02%) at 60 °C based on the significant difference (p < 0.05). A strong correlation was seen between the antioxidant activity, TPC, and TFC in the oven-dried P. macrocarpa fruits. The current study suggests that the oven-drying method improved the TPC, TFC, and antioxidant activity of the P. macrocarpa fruits, which can be used to produce functional ingredients in foods and nutraceuticals.
Co-Encapsulation of Curcumin and Diosmetin in Nanoparticles Formed by Plant-Food-Protein Interaction Using a pH-Driven Method
Authors: Yu Chong , Shan Jingyu , Fu Ze , Ju Hao , Chen Xiao , Xu Guangsen , Liu Yang , Li Huijing , Wu Yanchao
Published: July 2023

In this work, a pH-driven method was used to prepare zein–soy protein isolate (SPI) composite nanoparticles (NPs). The mass ratio of SPI to zein influenced the Z-average size (Z-ave). Once the zeta potential stabilized, SPI was completely coated on the periphery of the zein NPs. The optimal mass ratio of zein:SPI was found to be 2:3. After determining the structure using TEM, curcumin (Cur) and/or diosmetin (Dio) were loaded into zein–SPI NPs for co-encapsulation or individual delivery. The co-encapsulation of Cur and Dio altered their protein conformations, and both Cur and Dio transformed from a crystalline structure to an amorphous form. The protein conformation change increased the number of binding sites between Dio and zein NPs. As a result, the encapsulation efficiency (EE%) of Dio improved from 43.07% to 73.41%, and thereby increased the loading efficiency (LE%) of zein-SPI NPs to 16.54%. Compared to Dio-loaded zein–SPI NPs, Cur/Dio-loaded zein–SPI NPs improved the storage stability of Dio from 61.96% to 82.41% within four weeks. The extended release of bioactive substances in the intestine during simulated gastrointestinal digestion improved the bioavailability. When exposed to a concentration of 0–800 µg/mL blank-loaded zein–SPI NPs, the viability of HepG2 and LO-2 cells was more than 90%, as shown in MTT assay tests. The zein–SPI NPs are non-toxic, biocompatible, and have potential applications in the food industry.
Assessing Consumer Preferences for New Red-Pulp Kiwifruit: Application of a Choice Experiment between Different Countries
Authors: Bassi Ivana , Mian Giovanni , Troiano Stefania , Gori Enrico , Iseppi Luca
Published: July 2023

The central objectives of this paper are to enhance the understanding of how consumers in developed economies value credence attributes and to understand their preferences for red-pulp kiwifruit. To achieve this, we utilised the choice experiment method through surveys conducted in Italy, Spain, France, and Germany, targeting kiwifruit consumers through specific questionnaires. Regarding red kiwifruit, a significant percentage of those who are already familiar with them either purchase or intend to purchase them. What is equally interesting is the high percentage of those who declared themselves to be undecided about making a purchase. Specific marketing actions can be directed towards the following two categories: converting the intention to purchase into an actual purchase and shifting the current inclination towards an intention or act of purchase, for example, by improving the knowledge about this relatively unknown fruit. This paper contributes to the market chain by assessing consumers’ choice and willingness to pay for red kiwifruit, while also comparing developed economy markets.
Effects of Heat Treatment on the Structural and Functional Properties of Phaseolus vulgaris L. Protein
Authors: Li Chaoyang , Tian Yachao , Liu Caihua , Dou Zhongyou , Diao Jingjing
Published: July 2023

The paper presents the effect of heat treatment at 80 °C at different times (3, 5, 7, and 9 min) on the structural and functional properties of Phaseolus vulgaris L. protein (PVP, bean protein powder). Surface and structure properties of PVP after heat treatment were analyzed using a Fourier transform infrared spectrometer (FTIR), a fluorescence spectrophotometer, a visible light spectrophotometer, a laser particle size analyzer, and other equipment. The secondary structure and surface hydrophobicity (H0) of PVP changed significantly after heat treatment: the β-sheet content decreased from 25.32 ± 0.09% to 24.66 ± 0.09%, the random coil content increased from 23.91 ± 0.11% to 25.68 ± 0.08%, and the H0 rose by 28.96–64.99%. In addition, the functional properties of PVP after heat treatment were analyzed. After heat treatment, the emulsifying activity index (EAI) of PVP increased from 78.52 ± 2.01 m2/g to 98.21 ± 1.33 m2/g, the foaming ability (FA) improved from 87.31 ± 2.56% to 95.82 ± 2.96%, and the foam stability (FS) rose from 53.23 ± 1.72% to 58.71 ± 2.18%. Finally, the degree of hydrolysis (DH) of PVP after gastrointestinal simulated digestion in vitro was detected by the Ortho-Phthal (OPA) method. Heat treatment enhanced the DH of PVP from 62.34 ± 0.31% to 73.64 ± 0.53%. It was confirmed that heat treatment changed the structural properties of PVP and improved its foamability, emulsification, and digestibility. It provides ideas for improving PVP’s potential and producing new foods with rich nutrition, multiple functions, and easy absorption.
Sustainable Utilisation and Management of Food Waste for High-Value Products
Authors: Jaiswal Amit K.
Published: July 2023

Welcome to the Special Issue on “Sustainable Utilisation and Management of Food Waste for High-Value Products” [...]
KLVFF Conjugated Curcumin Microemulsion-Based Hydrogel for Transnasal Route: Formulation Development, Optimization, Physicochemical Characterization, and Ex Vivo Evaluation
Authors: Phongpradist Rungsinee , Jiaranaikulwanitch Jutamas , Thongkorn Kriangkrai , Lekawanvijit Suree , Sirilun Sasithorn , Chittasupho Chuda , Poomanee Worrapan
Published: July 2023

Curcumin is a potent natural compound used to treat Alzheimer’s disease (AD). However, the clinical usefulness of curcumin to treat AD is restricted by its low oral bioavailability and difficulty permeating the blood-brain barrier. To overcome such drawbacks, various alternative strategies have been explored, including the transnasal route. However, rapid mucociliary clearance in the nasal cavity is a major hindrance to drug delivery. Thus, designing a delivery system for curcumin to lengthen the contact period between the drug and nasal mucosa must be employed. This study describes the optimization of KLVFF conjugated curcumin microemulsion-base hydrogel (KCMEG) to formulate a prototype transnasal preparation using the response surface method to improve a mucoadhesive property. A central composite design was employed to optimize and evaluate two influencing factors: the concentration of carbopol 940 and the percentage of KLVFF conjugated curcumin microemulsion (KCME). The physicochemical properties, anti-cholinesterase activity, and anti-aggregation activities of KCME were investigated in this study. The studied factors, in terms of main and interaction effects, significantly (p < 0.05) influenced hardness and adhesiveness. The optimized KCMEG was evaluated for pH, spreadability, and mucoadhesive properties. Ex vivo nasal ciliotoxicity to optimize KCMEG was performed through the porcine nasal mucosa. KCME was transparent, with a mean globule size of 70.8 ± 3.4 nm and a pH of 5.80 ± 0.02. The optimized KCMEG containing 2% carbopol 940 showed higher in vitro mucoadhesive potential (9.67 ± 0.13 min) compared with microemulsion and was also found to be free from nasal ciliotoxicity during histopathologic evaluation of the porcine nasal mucosa. The result revealed that both the concentration of carbopol 940 and the percentage of KCME play a crucial role in mucoadhesive properties. In conclusion, incorporating a mucoadhesive agent in a microemulsion can increase the retention time of the formulation, leading to enhanced brain delivery of the drug. Findings from the investigation revealed that KCMEG has the potential to constitute a promising approach to treating AD via transnasal administration.
Changed Digital Technology Perceptions and Influencing Factors among Older Adults during the COVID-19 Pandemic
Authors: Cho Ok-Hee , Cho Junghee
Published: July 2023

This correlational study aimed to identify factors that contribute to changes in perceptions of digital technology among older adults during the COVID-19 pandemic. This study utilized raw data from “The 2021 Report on the Digital Divide,” a nationwide survey conducted in South Korea. Data were collected from 1171 older adults (aged ≥ 65 years) from September to December 2021. Multiple regression analyses were performed to examine the factors influencing changes in the perception of digital technology. Over one-third of the participants reported positive changes in their perceptions of digital technology during the pandemic. Key factors included self-efficacy for digital devices (β = 0.35, p < 0.001), digital networking (β = 0.11, p < 0.001), accessibility to digital devices (β = 0.10, p = 0.002), and perceived health (β = 0.08, p = 0.003). The expansion of digital technology owing to the pandemic has served as a catalyst for changes in older adults’ perceptions. Healthcare providers and caregivers should consider digital technology perceptions and influencing factors when providing digital healthcare services. The results can be utilized to identify vulnerable older adults with negative perceptions of digital technology, thus minimizing disparities in access to digital healthcare services.
Diabetes Moderates the Link between Personality Traits and Self-Rated Health (SRH)
Authors: Kang Weixi
Published: July 2023

Objectives: The primary objective of this study is to explore the relationship between personality traits and self-rated health (SRH) in individuals with diabetes, while also comparing these associations with a group of healthy controls. Methods: The data for this study were obtained from the UK Household Longitudinal Study (UKHLS), comprising a sample of 1860 diabetes patients and 12,915 healthy controls who were matched in terms of age and sex. Hierarchical linear regression was utilized to analyze the data. The analysis included demographic variables such as age, sex, monthly income, highest educational qualification, marital status, and psychological distress assessed through the GHQ-12, personality traits, including Neuroticism, Agreeableness, Openness, Conscientiousness, and Extraversion, and diabetes status (0 for diabetes patients, 1 for healthy controls) as predictors. Interactions between personality traits and diabetes status were also included as predictors, with SRH serving as the dependent variable. Additionally, separate multiple regression analyses were conducted for diabetes patients and healthy controls, incorporating demographic variables, psychological distress, and personality traits as predictors, while SRH remained the dependent variable. Results: The findings of this study indicate that diabetes significantly moderates the association between Neuroticism and SRH. Specifically, both Neuroticism and Extraversion were negatively associated with SRH, whereas Openness and Conscientiousness exhibited a positive association with SRH in healthy controls. However, among diabetes patients, only Conscientiousness showed a positive association with SRH. Conclusion: Personality traits predict SRH in people with and without diabetes differently. Healthcare professionals and clinicians should try to come up with ways that improve SRH and thus better outcomes in diabetes patients based on the findings from the current study.
Exploring Gender Diversity in Transgender and Non-Binary Adults Accessing a Specialized Service in Italy
Authors: Mirabella Marta , Di Giannantonio Bianca , Giovanardi Guido , Piras Irene , Fisher Alessandra D. , Lingiardi Vittorio , Chianura Luca , Ristori Jiska , Speranza Anna Maria , Fortunato Alexandro
Published: July 2023

In Italy, studies investigating gender identity and expression in gender non-conforming adults are lacking, as well as data regarding the non-binary population. The present study aimed at dimensionally exploring how transgender and non-binary Italian adults identify and express their gender. The Gender Diversity Questionnaire (GDQ) was administered to a sample of 112 adult subjects aged 18–60 years accessing a gender-specialized service in Rome. The majority of the participants were aged 18–24 years (53.6%), whereas fewer subjects were aged 25–35 years (32%) and 35 years and older (14.3%). Most participants (83.9%) identified themselves as trans binary, while the remaining (16.1%) identified as non-binary. Trans binary participants reported a stable gender identity, whereas non-binary participants reported a more fluid gender identity over time and across contexts. Younger subjects recognized the use of chosen names, pronouns, and clothes as important for their gender expression, whereas older subjects attributed more importance to physical appearance and emotions. Differences regarding gender-affirmative interventions emerged between non-binary and transbinary participants. Findings evidence that gender non-conforming adults accessing gender-specialized services have unique needs and features, thus it is essential to shed light on this population by providing greater visibility and recognition.
Effects of a Noncontact Visit Program in the NICU for the Prevention of COVID-19
Authors: Ahn Hye Young , Jo Hee Jee , Ko Hyun Jeong
Published: July 2023

Background: With the spread of COVID-19, neonatal intensive care units restricted visiting hours to prevent infection. As a result, mothers of high-risk newborns were restricted from making contact with their children. Various problems could be encountered for hospitalized children and mothers of high-risk newborns due to restrictions on visits in the neonatal intensive care unit. Therefore, during the pandemic, continuous nursing support for mothers of high-risk newborns was needed. Methods: In this study, a nonequivalent control group non-synchronized design was employed. The subjects of the study were 36 mothers of high-risk neonates (20 in the experimental group and 16 in the control group) in E University Hospital, D Metropolitan City, from July to September 2022. The experimental group received a 10 min program performed by a nurse from 7:00 p.m. to 9:00 p.m. three times per week. Results: There were significant differences in nurses’ support between the experimental and control groups (F = 25.594, p < 0.001), changes over time (F = 16.178, p < 0.001), and time–group interactions (F = 9.663, p = 0.003). Conclusions: It was interpreted that the real-time noncontact visitation program could transcend time and space for many mothers of high-risk newborn babies, who suffered psychologically due to restrictions and bans on visitations during the COVID-19 pandemic.
Nanite as a Disruptive Technology for the Interactive Visualisation of Cultural Heritage 3D Models: A Case Study
Authors: Díaz-Alemán Manuel Drago , Amador-García Esteban M. , Díaz-González Elisa , de la Torre-Cantero Jorge
Published: July 2023

The use of digital models of cultural heritage objects obtained from 3D scanning or photogrammetry requires the development of strategies in order to optimise computational resources and enhance the user experience when they are used in interactive applications or virtual museums. Through a case study, this work compares an original photogrammetric model with its optimised version using traditional remeshing techniques and an improved version using Nanite technology, developed by Epic Games. A self-contained executable is created in Unreal® 5.1 game engine to test the performance of the three models measured in frames per second (FPS). As a result, it was demonstrated that, although there is no substantial difference in the FPS rate, the Nanite technology avoids the need to perform the mesh and texture editing processes that lead to the construction of the optimised model. This saves considerable time and specialised effort, as the photogrammetric model can be converted to a Nanite object automatically. This would be a great advantage in the case of virtualisations of large collections of heritage objects, which is a common case in virtual museums.