bluuebunny/crossref_metadata_2025 huggingface dataset:
On the Importance of Investigating Data Structure in Miniaturized NIR Spectroscopy Measurements of Food: The Case Study of Sugar
Authors: Gorla Giulia , Taborelli Paolo , Alamprese Cristina , Grassi Silvia , Giussani Barbara
Published: January 2023

Alongside the increasing proofs of efficacy of miniaturized NIR instruments in food-related scenarios, it is progressively growing the number of end-users, even incentivized by the low-cost of the sensors. While attention is paid to the analytical protocol–from sampling to data collection, up to the data processing, the importance of error investigation in raw data is generally underestimated. Understanding the sources and the structure of uncertainty related to the raw data improves the quality of measurements and suggests the correct planning of the experiments, as well as helps in chemometric model development. The goal of chemometric modeling is to separate information from noise; therefore, a description of the nature of measurement error structure is necessary. Among the different approaches, we present the study of the Error Covariance Matrices (ECMs) and their decomposition in a bilinear structure as a powerful method to study the main sources of variability when using miniaturized NIR sensors in the actual way of use. Granulated and lump sugar samples were chosen as the case study and analyzed with two miniaturized spectrometers working in the NIR regions around 1350–2550 nm and 900–1750 nm, respectively, in dispersive reflectance mode. Results show that having some insights on multivariate measurement errors associated with spectra could be interesting in paving the way for several applications.
Long-Term Dietary Supplementation with Betaine Improves Growth Performance, Meat Quality and Intramuscular Fat Deposition in Growing-Finishing Pigs
Authors: Fu Runqi , Zhang Hengzhi , Chen Daiwen , Tian Gang , Zheng Ping , He Jun , Yu Jie , Mao Xiangbing , Huang Zhiqing , Pu Junning , Yang Wenwu , Yu Bing
Published: January 2023

This study was designed to investigate the effects of dietary betaine supplementation on growth performance, meat quality and muscle lipid metabolism of growing-finishing pigs. Thirty-six crossbred pigs weighing 24.68 ± 0.97 kg were randomly allotted into two treatments consisting of a basal diet supplemented with 0 or 1200 mg/kg betaine. Each treatment included six replications of three pigs per pen. Following 119 days of feeding trial, dietary betaine supplementation significantly enhanced average daily gain (ADG) (p < 0.05) and tended to improve average daily feed intake (ADFI) (p = 0.08) and decreased the feed intake to gain ratio (F/G) (p = 0.09) in pigs during 100~125 kg. Furthermore, a tendency to increase ADG (p = 0.09) and finial body weight (p = 0.09) of pigs over the whole period was observed in the betaine diet group. Betaine supplementation significantly increased a*45 min and marbling and decreased b*24 h and cooking loss in longissimus lumborum (p < 0.05), tended to increase intramuscular fat (IMF) content (p = 0.08), however had no significant influence on carcass characteristics (p > 0.05). Betaine supplementation influenced the lipid metabolism of pigs, evidenced by a lower serum concentration of low-density lipoprotein cholesterol (p < 0.05), an up-regulation of mRNA abundance of fatty acid synthase and acetyl-CoA carboxylase (p < 0.05), and a down-regulation of mRNA abundance of lipolysis-related genes, including the silent information regulators of transcription 1 (p = 0.08), peroxisome proliferator-activated receptorα (p < 0.05), peroxisome proliferator-activated receptor gamma coactivator-1α (p = 0.07) and carnitine palmitoyl transferase 1 (p < 0.05) in longissimus lumborum. Moreover, betaine markedly improved the expression of microRNA-181a (miR-181a) (p < 0.05) and tended to enhance miR-370 (p = 0.08). Overall, betaine supplementation at 1200 mg/kg could increase the growth performance of growing-finishing pigs. Furthermore, betaine had a trend to improve meat quality and IMF content via increasing lipogenesis and down-regulating the abundance of genes associated with lipolysis, respectively, which was associated with the regulation of miR-181a and miR-370 expression by betaine.
A Study on Origin Traceability of White Tea (White Peony) Based on Near-Infrared Spectroscopy and Machine Learning Algorithms
Authors: Zhang Lingzhi , Dai Haomin , Zhang Jialin , Zheng Zhiqiang , Song Bo , Chen Jiaya , Lin Gang , Chen Linhai , Sun Weijiang , Huang Yan
Published: January 2023

Identifying the geographical origins of white tea is of significance because the quality and price of white tea from different production areas vary largely from different growing environment and climatic conditions. In this study, we used near-infrared spectroscopy (NIRS) with white tea (n = 579) to produce models to discriminate these origins under different conditions. Continuous wavelet transform (CWT), min-max normalization (Minmax), multiplicative scattering correction (MSC) and standard normal variables (SNV) were used to preprocess the original spectra (OS). The approaches of principal component analysis (PCA), linear discriminant analysis (LDA) and successive projection algorithm (SPA) were used for features extraction. Subsequently, identification models of white tea from different provinces of China (DPC), different districts of Fujian Province (DDFP) and authenticity of Fuding white tea (AFWT) were established by K-nearest neighbors (KNN), random forest (RF) and support vector machine (SVM) algorithms. Among the established models, DPC-CWT-LDA-KNN, DDFP-OS-LDA-KNN and AFWT-OS-LDA-KNN have the best performances, with recognition accuracies of 88.97%, 93.88% and 97.96%, respectively; the area under curve (AUC) values were 0.85, 0.93 and 0.98, respectively. The research revealed that NIRS with machine learning algorithms can be an effective tool for the geographical origin traceability of white tea.
A Combinational Optimization Method for Efficient Production of Indigo by the Recombinant Escherichia coli with Expression of Monooxygenase and Malate Dehydrogenase
Authors: Pan Zijing , Tao Dejiang , Ren Mingjing , Cheng Lei
Published: January 2023

Indigo pigment is a widely used pigment, and the use of biosynthesis to ferment indigo has become a hot research topic. Based on previous research, the indigo could be biosynthesized via the styrene oxygenation pathway, which is regulated by intracellular redox-cofactor rebalancing. In this work, the malate dehydrogenase (mdh) gene was selected as an NADH regeneration element to improve the intracellular cofactor regeneration level, and it was co-expressed with the styrene monooxygenase (styAB) gene by pET-28a(+) vector in E. coli for enhancing indigo production. The PT7 and Pcat promoter was constructed to change the styAB gene and mdh gene from inducible expression to constitutive expression, since the expressing vector pET-28a(+) needs to be induced by IPTG. After different strategies of genetic manipulations, the styAB gene and mdh gene were successfully constitutively co-expressed by different promoters in E. coli, which obviously enhanced the monooxygenase activity and indigo production, as expected. The maximum yield of indigo in recombinant strains was up to 787.25 mg/L after 24 h of fermentation using 2.0 g/L tryptophan as substrate, which was nearly the highest indigo-producing ability using tryptophan as substrate in recent studies. In summary, this work provided a theoretical basis for the subsequent study of indigo biosynthesis and probably revealed a new insight into the construction of indigo biosynthesis cell factory for application.
Optimisation of Low-Toxicity Solvent Employment for Total Lipid and Tocopherol Compound Extraction from Patagonian Squid By-Products
Authors: Rodríguez Alicia , Trigo Marcos , Aubourg Santiago P. , Medina Isabel
Published: January 2023

The extraction of total lipids and tocopherol compounds from Patagonian squid (Doriteuthis gahi) by-products (viscera, heads, skin, etc.), resulting from squid mantel commercialisation, was studied. An optimisation simplex-lattice design by employing low-toxicity solvents (ethanol, acetone, and ethyl acetate) was carried out taking into account their relative concentrations. The variance analysis of data showed that the quadratic model was statistically significant (p < 0.05); empirical coded equations were obtained as a function of the low-toxicity solvent ratios. The optimised lipid extraction was obtained by employing the 0.642/0.318/0.040 (ethanol/acetone/ethyl acetate) solvent ratio, respectively, leading to an 84% recovery of the total lipids extracted by the traditional procedure. In all extracting systems tested, the presence of α-, γ-, and δ-tocopherol compounds was detected, α-tocopherol being the most abundant. For α-, γ-, and δ-tocopherol compounds, the optimisation process showed that acetone extraction led to the highest concentrations in the lipid extract obtained (2736.5, 36.8, and 2.8 mg·kg−1 lipids, respectively). Taking into account the recovery yield on a by-product basis, the values obtained for the three tocopherols were included in the 88.0–97.7%, 80.0–95.0%, and 25–75% ranges, respectively, when compared to the traditional extraction. This study provides a novel and valuable possibility for α-tocopherol extraction from marine by-products.
Acetic Acid Immersion Alleviates the Softening of Cooked Sagittaria sagittifolia L. Slices by Affecting Cell Wall Polysaccharides
Authors: Sun Yangyang , Liu Yanzhao , Li Jie , Yan Shoulei
Published: January 2023

This study investigated the mechanism for acetic acid pretreatment to improve cell wall integrity and thereby enhance the hardness of cooked Sagittaria sagittifolia L. slices by affecting polysaccharides in the cell wall. Distilled water immersion and 0.6% acetic acid immersion (the solid/liquid ratio is 1:10) for 15 h at room temperature could result in the conversion of pectin through different reactions during thermal processing. Combined in situ and in vitro analysis demonstrated that acetic acid pretreatment could promote the interaction of cellulose microfiber or hemicellulose with RG-Ⅰ side chains during thermal processing of S. sagittifolia L. slices, promote the entanglement between linear pectin molecules and make hemicellulose show a lower molecular weight under cooking, making it easy to firmly bind to pectin, which resulted in texture changes. The findings may help improve the texture of thermally processed vegetables and fruits and deep processing of starchy vegetables.
Superfine Marigold Powder Improves the Quality of Sponge Cake: Lutein Fortification, Texture, and Sensory Properties
Authors: Kim Si-Yeon , Hong Seok-Young , Choi Hyun-Su , Kim Jong-Hun , Jeong Se-Ho , Lee Su-Yong , Kim Sung-Hun , Lee Dong-Un
Published: January 2023

This study aimed to investigate and optimize the quality and sensory properties of baked products with lutein-enriched marigold flower powder (MP). Lutein-enriched marigold flowers produced via hydroponic methods using LED lights were used as a functional material in sponge cakes to increase lutein content. MP particles were divided into coarse (Dv50 = 315 μm), fine (Dv50 = 119 μm), and superfine MP (Dv50 = 10 μm) fractions and added to the sponge cake after being designated to control (sponge cake prepared without MP), coarse MPS (sponge cake prepared with coarse MP), fine MPS (sponge cake prepared with fine MP), and superfine MPS (sponge cake prepared with superfine MP) groups. The sizes and surface properties of superfine MP particles were more homogeneous and smoother than the other samples. As the particle size decreased, the specific volume increased, whereas baking loss, hardness, and chewiness of the sponge cake decreased. Superfine MP and superfine MPS had the highest lutein content. The flavor of marigold and the overall acceptability of sponge cake with superfine MP were 7.90 ± 0.97 and 7.55 ± 0.76, which represents the highest values among the samples. The results of this study have shown that jet milling can contribute to improvements in texture, lutein content, and sensory qualities for baked products with MP.
Potential of Coccolithophore Microalgae as Fillers in Starch-Based Films for Active and Sustainable Food Packaging
Authors: Moreira Ana S. P. , Gonçalves Joana , Sousa Francisco , Maia Inês , Pereira Hugo , Silva Joana , Coimbra Manuel A. , Ferreira Paula , Nunes Cláudia
Published: January 2023

Coccolithophore microalgae, such as Emiliania huxleyi (EHUX) and Chrysotila pseudoroscoffensis (CP), are composed of calcium carbonate (CaCO3) and contain bioactive compounds that can be explored to produce sustainable food packaging. In this study, for the first time, these microalgae were incorporated as fillers in starch-based films, envisioning the development of biodegradable and bioactive materials for food packaging applications. The films were obtained by solvent casting using different proportions of the filler (2.5, 5, 10, and 20%, w/w). For comparison, commercial CaCO3, used as filler in the plastic industry, was also tested. The incorporation of CaCO3 and microalgae (EHUX or CP) made the films significantly less rigid, decreasing Young’s modulus up to 4.7-fold. Moreover, the incorporation of microalgae hydrophobic compounds as lipids turned the surface hydrophobic (water contact angles > 90°). Contrary to what was observed with commercial CaCO3, the films prepared with microalgae exhibited antioxidant activity, increasing from 0.9% (control) up to 60.4% (EHUX 20%) of ABTS radical inhibition. Overall, the introduction of microalgae biomass improved hydrophobicity and antioxidant capacity of starch-based films. These findings should be considered for further research using coccolithophores to produce active and sustainable food packaging material.
The Influence of the Use of Different Polysaccharide Coatings on the Stability of Phenolic Compounds and Antioxidant Capacity of Chokeberry Hydrogel Microcapsules Obtained by Indirect Extrusion
Authors: Stach Marcelina , Kolniak-Ostek Joanna
Published: January 2023

The aim of the study was to evaluate the effect of the use of different polysaccharides and their mixtures on the structure of chokeberry hydrogel microcapsules and the stability of polyphenolic compounds and antioxidant capacity during one month of refrigerated storage. As a coating material, alginate and its mixtures with pectin, carrageenan, and chitosan were used, while chokeberry juice and preparation of polyphenolic compounds were used as a core. In non-stored capsules, the addition of carrageenan, pectin, and chitosan to alginate increased the content of total polyphenolic compounds and antioxidant capacity. When compared to non-encapsulated juice, the capsules had a greater decrease in antioxidant capacity during storage. The coating variant composed of alginate and carrageenan was found to be the most beneficial for the preservation of the capsules’ phenolic compounds. The findings revealed that proper polysaccharide coating selection is critical for the proper course of the microencapsulation process, the polyphenolic content of chokeberry capsules, and their antioxidant properties.
Food Fraud Vulnerability Assessment in the Chinese Baijiu Supply Chain
Authors: Wang Yiqin , Liu Jiali , Xiong Yanling , Liu Xuefan , Wen Xiaowei
Published: January 2023

As a representative of Chinese alcoholic drinks, baijiu has developed into a mass-consumption commodity. Its simple industrial chain makes it a suitable target for fraudsters. In order to understand the differences and potential factors of fraud vulnerability among groups at various levels, this study constructed a food fraud vulnerability assessment system for the Chinese baijiu supply chain based on routine activities theory. We examined the fraud vulnerability in the baijiu supply chain with data from 243 producers and 45 retailers by using the safe supply of affordable food everywhere (SSAFE) food fraud vulnerability assessment (FFVA) tool. The results indicate that fraud factors related to opportunities have an overall medium vulnerability, while those related to motivations and control measures have an overall medium-low vulnerability. In addition, there are significant differences in the perceived vulnerability of fraud factors across the supply chain. Moreover, retailers have overall higher fraud vulnerability in terms of opportunities and control measures than producers. The main reasons for the frequent occurrence of fraud in the baijiu industry are numerous technical opportunities, strong economic drivers, and insufficient control measures.
Effects of Konjac Glucomannan/ε-Polylysine Hydrochloride/Ferulic Acid Composite Coating on the Freshness Preservation Performance and Flavor of Refrigerated Sea Bass Fillets
Authors: Xiao Huibao , Liao Jun , Chen Yongshi , Tong Xiuping , Sun Xiangyun , Yan Jiqiang , Pang Jie
Published: January 2023

Coating preservation has a remarkable effect on the preservation of aquatic products. This work prepared a composite coating using konjac glucomannan (KGM) as the film-forming matrix and ε-polylysine hydrochloride (ε-PL) and ferulic acid (FA) as the preservative. Three types of treated sea bass (KGM, KGM-ε-PL, and KGM-ε-PL-FA) and untreated sea bass were stored at 4 °C for 20 days to compare freshness changes under different treatment conditions. The results showed that the surface color and texture of sea bass in refrigerated storage changed dramatically and deteriorated as storage time increased. The composite coating treatment was significantly different from the control group. Using Gas-phase ion migration spectrometry (GC-IMS) technology, 32 volatile compounds, such as aldehydes, alcohols, and ketones, were found in fillets during flavor quality analysis. The composite coating can successfully inhibit the formation of odor compounds such as 2-nonenone, isoamyl alcohol monomer, ammonia, and trimethylamine, delaying the deterioration of fish and improving freshness. Among them, KGM-ε-PL-FA composite coating has the most remarkable preservation performance, which significantly inhibits the occurrence of rotten odor, and has a potential application prospect in the field of food preservation.
Effects of Pork Backfat Replacement with Emulsion Gels Formulated with a Mixture of Olive, Chia and Algae Oils on the Quality Attributes of Pork Patties
Authors: Cîrstea (Lazăr) Nicoleta , Nour Violeta , Boruzi Andrei Iulian
Published: January 2023

This paper reports on the development of new emulsion gels containing a mixture of olive, chia and algae oil emulsified with soy protein isolate and stabilized by two different cold gelling agents, gelatin (EGEL) and chitosan (ECHIT), and to evaluate their potential use as pork backfat replacers in cooked pork patties. Reformulated patties were produced by half and full pork backfat replacement and compared to normal fat patties and reduced fat content patties made by replacing half of the added fat with water. Color parameters, pH and thermal stability of the emulsion gels were determined at processing and after 10 days of refrigerated storage. Proximate composition, fatty acid profile, technological properties and sensory attributes were evaluated after patty processing, while color parameters, pH and lipid oxidation were monitored in patties during 15 days of refrigerated storage (4 °C). Reformulated patties showed significant improvements of the lipid profile (lower saturated fatty acid content and n-6/n-3 ratio and higher long-chain polyunsaturated fatty acid content) as compared to the controls. In terms of technological properties, chitosan was more effective than gelatin as a stabilizer of the emulsion gel. All reformulated patties showed a good evolution of lipid oxidation during storage and acceptable sensory attributes.
Walnut Protein Isolate-κ-Carrageenan Composite Gels Improved with Synergetic Ultrasound-Transglutaminase: Gelation Properties and Structure
Authors: Liu Yanlong , Lei Yuqing , Kang Xu , Ouyang Hui , Li Xiuting , Yu Xiongwei , Gu Qianhui , Li Shugang
Published: January 2023

Walnut protein is a kind of natural, high-quality plant protein resource. However, its high content of gluten, strong hydrophobicity and poor gelation ability have greatly limited its development and utilization in gel products. It was found in this experiment that ultrasonic power combined with transglutaminase (TGase) had a significant effect on the gel properties of the walnut protein isolate (WNPI)-κ-carrageenan (KC) complex. The results showed that the gel strength of the WNPI-KC complex first increased and then decreased with the increase in ultrasonic power (0–400 W). WNPI-KC composite gel had the best texture properties, rheological properties, water-holding capacity (99.41 ± 0.76%), swelling ratio (2.31 ± 0.29%) and thermal stability (83.22 °C) following 200 W ultrasonic pretreatment. At this time, the gel network was more uniform and much denser, and the water molecules were more tightly bound. Further, 200 W ultrasonic pretreatment could promote the transformation of α-helices to β-folds in protein molecules, improve the fluorescence intensity, increase the content of free sulfhydryl groups and enhance the intermolecular forces. The experimental results could provide technical support for the development of walnut protein gel food.
Particle Agglomeration and Properties of Pregelatinized Potato Starch Powder
Authors: Lee Hyunwoo , Yoo Byoungseung
Published: January 2023

Pregelatinized starches are used as thickeners in many instant food products. The unique properties of pregelatinized starches, such as their dispersibility in water and high viscosity, are generally desirable for instant food products. However, powdered starches cannot be easily dispersed in cold water due to clumping. The most reliable method to solve this problem is particle size enlargement by an agglomeration technique that causes a structural change in the starch. In this study, pregelatinized potato starch powder (PPSP) was agglomerated in a fluidized bed agglomerator, after which the physical, structural, and rheological properties of the PPSP agglomerated with different maltodextrin (MD) binder concentrations were investigated. The powder solubility and flowability (CI and HR) of all the agglomerated PPSPs were improved, and the particle size (D50) tended to increase as the MD concentration increased, except for the control (0% MD) and the 40% MD. The changes in the particle size of the agglomerated PPSPs were consistent with the SEM image analysis. The magnitudes of the gel strength and viscoelastic moduli (G′ and G″) of the agglomerated PPSPs with 10% MD were higher than those of the control due to the more stable structure formed by better intermolecular interaction in the starch and MD during the agglomeration process. Therefore, our results indicated that the fluidized bed agglomeration process and the MD addition as a binder solution greatly influence the physical, structural, and rheological properties of PPSP.
Formulation and In Vivo Pain Assessment of a Novel Niosomal Lidocaine and Prilocaine in an Emulsion Gel (Emulgel) of Semisolid Palm Oil Base for Topical Drug Delivery
Authors: Shabery Aidawati Mohamed , Widodo Riyanto Teguh , Chik Zamri
Published: January 2023

This study aimed to formulate semisolid niosomal encapsulated lidocaine and prilocaine using the patented palm oil base Hamin-C® for further characterization and in vivo pain assessment. Seven formulations were initially studied with various chemical compositions. A thin-layer film hydration method was used to produce niosome using a mixture of surfactant (Span® 40 or Span® 60) and cholesterol (CHOL) at a 1:1 ratio, with/without a charge-inducing agent (diacetyl phosphate) (DCP) and with/without labrasol®. Niosome F1 formulation had been identified as the highest %EE achieved, at 53.74 and 55.63% for prilocaine and lidocaine, respectively. Furthermore, NIO-HAMIN F1 emulgel indicated the best formulation with higher permeability of prilocaine and lidocaine compared to the rest of the formulations. The reformulation of optimization of NIO-HAMIN F1 emulgel using a cold process to NIO-HAMIN F1-C emulgel to improve the viscosity resulted in higher diffusion of prilocaine and lidocaine by 5.71 and 33.38%, respectively. In vivo pain perception studies by verbal rating score (VRS) and visual analogue score (VAS) on healthy subjects show a comparable local anesthetic effect between NIO-HAMIN F1-C emulgel and EMLA® cream.
How the Addition of Chitosan Affects the Transport and Rheological Properties of Agarose Hydrogels
Authors: Klučáková Martina
Published: January 2023

Agarose hydrogels enriched by chitosan were studied from a point of view diffusion and the immobilization of metal ions. Copper was used as a model metal with a high affinity to chitosan. The influence of interactions between copper and chitosan on transport properties was investigated. Effective diffusion coefficients were determined and compared with values obtained from pure agarose hydrogel. Their values increased with the amount of chitosan added to agarose hydrogel and the lowest addition caused the decrease in diffusivity in comparison with hydrogel without chitosan. Liesegang patterns were observed in the hydrogels with higher contents of chitosan. The patterns were more distinct if the chitosan content increased. The formation of Liesegang patterns caused a local decrease in the concentration of copper ions and concentration profiles were affected by this phenomenon. Thus, the values of effective diffusion coefficient covered the influences of pore structure of hydrogels and the interactions between chitosan and metal ions, including precipitation on observed Liesegang rings. From the point of view of rheology, the addition of chitosan resulted in changes in storage and loss moduli, which can show on a “more liquid” character of enriched hydrogels. It can contribute to the increase in the effective diffusion coefficients for hydrogels with higher content of chitosan.
Development of Scaffolds from Bio-Based Natural Materials for Tissue Regeneration Applications: A Review
Authors: Krishani Murugiah , Shin Wong Yen , Suhaimi Hazwani , Sambudi Nonni Soraya
Published: January 2023

Tissue damage and organ failure are major problems that many people face worldwide. Most of them benefit from treatment related to modern technology’s tissue regeneration process. Tissue engineering is one of the booming fields widely used to replace damaged tissue. Scaffold is a base material in which cells and growth factors are embedded to construct a substitute tissue. Various materials have been used to develop scaffolds. Bio-based natural materials are biocompatible, safe, and do not release toxic compounds during biodegradation. Therefore, it is highly recommendable to fabricate scaffolds using such materials. To date, there have been no singular materials that fulfill all the features of the scaffold. Hence, combining two or more materials is encouraged to obtain the desired characteristics. To design a reliable scaffold by combining different materials, there is a need to choose a good fabrication technique. In this review article, the bio-based natural materials and fine fabrication techniques that are currently used in developing scaffolds for tissue regeneration applications, along with the number of articles published on each material, are briefly discussed. It is envisaged to gain explicit knowledge of developing scaffolds from bio-based natural materials for tissue regeneration applications.
Deciphering the Parrot’s Voice: Satō Haruo’s “Okāsan” (“Mother”) and Josei (Woman) Magazine
Authors: Nishikawa Atsuko
Published: January 2023

Satō Haruo’s “Okāsan” (“Mother”) is a story that was published in Josei (Woman) magazine in October 1926. The plot follows “I” as he listens to the words of the parrot he bought from the pet store and deduces and fantasizes freely about her previous home. In this paper, I spotlight the fact that the home that “I” envisions through the voice of the parrot, Laura, corresponds to the family image that was being presented concurrently in Josei magazine and showcased that the ideal family was simply nothing more than an ideal. In relativizing Josei’s familial discourse, and in this relationship between the published magazine and the story, I argue for the latter’s importance.
What Factors Will Influence Chinese International Traveling for Leisure in the Post-COVID-19 Era: Role of Health Priorities and Health-Related Information Literacy
Authors: Wadhar Saba Batool , Shahani Riffat , Zhou Rongting , Siddiquei Ahmad Nabeel , Ye Qing , Asmi Fahad
Published: January 2023

China used to be the world’s leading nation in terms of international (outward) tourism till the COVID-19 outbreak. However, due to the COVID-19 crisis, several new macro and micro-level factors might affect their international (outward) traveling behavior. The purpose of the current research was to examine the avoidance of international traveling for leisure in the Chinese population. The goal of the study was to highlight the importance of information self-efficacy and digital literacy as the key factors influencing tourists’ traveling readiness. To achieve the goal, the study adapted the quantitative instruments from existing sources to map media exhaustion, information overload, and perceived health concerns, i.e., perceived effectiveness of health-protective measures, fear of new possible outbreaks, and pandemic crisis at source and destination. Chinese citizens’ opinions were collected during the third quarter of the year 2022. Specifically, the quantitative survey from China collected a total number of 1308 respondents. This study used the statistical analysis software SPSS to analyze collected data. The findings conclude that the role of media is pivotal to shaping and predicting future trends in tourism preferences, perception of protective measures against COVID-19, and perceived seriousness of the pandemic crisis in the Chinese population. In addition, technology readiness (as hard self-efficacy) and health-related information literacy (soft self-efficacy) are critical to cope with the dark aspects of information exhaustion, overload, and pandemic seriousness in the post-truth era. The study is unique, as it examines the role of the seriousness of the pandemic at its source and destination and fear of new outbreaks simultaneously, underlining the potential future of immersive tourism (i.e., virtual reality, augmented reality, or mixed reality-based tourism). This study has drawn interesting theoretical and practical implications for researchers, policymakers, and academicians.
Family Background Issues as Predictors of Mental Health Problems for University Students
Authors: Luvira Varisara , Nonjui Pat , Butsathon Nisachon , Deenok Phahurat , Aunruean Wilawan
Published: January 2023

Mental health problems are common among university students. Specific type of family background is one of the important factors contributing to these problems. This study aimed to evaluate the proportion of severe mental health problems and the associations between severity and types of problems and family backgrounds. This was a cross-sectional descriptive study. We reviewed the database and medical records of 125 university students aged over 18 years who attended the mental health consultation clinic for university students, 123 Primary Care Unit, Khon Kaen University, between 1 January and 31 December 2018. The characteristics of the participants were summarized using descriptive statistics. We performed an analysis using logistic regression to obtain the crude and adjusted odds ratio. The proportion of severe mental health problems was 50.4%. The most common problem was learning problems (54.4%). The severity of the problems reported by the students was associated with communication failure in the family (AOR = 3.30 [95% CI: 1.14–9.52], p = 0.027). All students who experienced domestic violence in their family had severe mental health problems. This study re-appraised the utility of the context of the family as a predictor of current problems of university students.
Evaluation of Convalescent Plasma in the Management of Critically Ill COVID-19 Patients (with No Detectable Neutralizing Antibodies Nab) in Kashmir, India
Authors: Elkhalifa Ahmed M. E. , Nabi Showkat Ul , Shah Naveed Nazir , Dar Khurshid Ahmad , Quibtiya Syed , Bashir Showkeen Muzamil , Ali Sofi Imtiyaz , Taifa Syed , Hussain Iqra
Published: January 2023

Background: For centuries, convalescent plasma (CP) has been recommended to treat a diverse set of viral diseases. Therefore, the present study was undertaken to evaluate the effectiveness of CP in critically ill COVID-19 patients. Methods and Materials: From 23 March 2021 to 29 December 2021, an open-label, prospective cohort, single-centre study was conducted at Chest Disease Hospital, Jammu and Kashmir, Srinagar. Patients with severe manifestation of coronavirus disease 2019 (COVID-19) under BST (best standard treatment) +CP were prospectively observed in order to evaluate effectiveness of CP therapy and historical control under BST were used as the control group Results: A total of 1667 patients were found positive for COVID-19. Of these, 873 (52.4%), 431 (28.8%), and 363 (21.8%) were moderately, severely, and critically ill, respectively. On 35th day post-infusion of CP, all-cause mortality was higher in the BST (best standard treatment) +CP group 12 (37.5%) compared to 127 (35%) in the BST group with an odds ratio (OR) of 1.4 and hazard ratio (HR) (95% CI: 1.08–1.79, p = 0.06). Similarly, 7 (21.9) patients in the BST+CP group and 121 (33.3) patients in the BST group showed the transition from critically ill to moderate disease with subhazard ratio (s-HR 1.37) (95% CI: 1.03–2.9). Conclusions: In the present study, we could not find any significant difference in the CP group and BST +CP in primary outcome of reducing all-cause mortality in critically ill patients with negligible Nabs levels. However, beneficial results were observed with use of CP in a limited number of secondary outcomes which includes days of hospitalization, negative conversion of SARS-CoV-2 on basis of RT-PCR on 7th day and 14th day, need for invasive mechanical ventilation on 14th day post-CP treatment, and resolution of shortness of breath.
Cancer of the Cervix in Bulgaria: Epidemiology of a Crisis
Authors: Yordanov Angel , Vasileva-Slaveva Mariela , Galai Noya , Faraggi David , Kubelac Milan Paul , Tripac-Iacovleva Irina , Calleja Neville , Di Fiore Riccardo , Calleja-Agius Jean
Published: January 2023

Eastern Europe continues to have the highest rates of cancer of the uterine cervix (CUC) and human papillomavirus (HPV) infection in Europe. Aim: The aim of this study was to investigate CUC trends in Bulgaria in the context of a lack of a population-based screening program and a demographic crisis. Methodology: This was a retrospective study of 7861 CUC patients who were registered in the Bulgarian National Cancer Registry (BNCR) between 2013 and 2020 and followed up with until March 2022. We used descriptive statistics and modeling to assess temporal trends in new CUC incidence rates and identify factors associated with survival. Results: Bulgaria’s population has decreased by 11.5% between 2011 and 2021. The CUC incidence rate decreased from 29.5/100,000 in 2013 to 23.2/100,000 in 2020 but remains very high. The proportion of patients diagnosed in earlier stages of CUC has decreased over time. Up to 19% of patients with CUC in Bulgaria are diagnosed between the age of 35 and 44 years. The median survival was 101.5 months, with some improvement in later years (adjusted HR = 0.83 for 2017–2020). Conclusions: In countries with well-established population-based screening, CUC is nowadays considered a rare disease. However, it is not considered rare in Bulgaria. Population-based screening starting at an earlier age is the fastest way to improve outcomes.
Analysis of Home Healthcare Practice to Improve Service Quality: Case Study of Megacity Istanbul
Authors: İnaç Rabia Çevik , Ekmekçi İsmail
Published: January 2023

Home healthcare services are public or private service that aims to provide health services at home to socially disadvantaged, sick, needy, disabled, and elderly individuals. This study aims to increase the quality of home healthcare practice by analyzing the factors affecting it. In Megacity Istanbul, data from 1707 patients were used by considering 14 different input variables affecting home healthcare practice. The demographic, geographic, and living conditions of patients and healthcare professionals who take an active role in home healthcare practice constituted the central theme of the input parameters of this study. The regression method was used to look at the factors that affect the length of time a patient needs home healthcare, which is the study’s output variable. This article provides short planning times and flexible solutions for home healthcare practice by showing how to avoid planning patient healthcare applications by hand using methods that were developed for home health services. In addition, in this research, the AB, RF, GB, and NN algorithms, which are among the machine learning algorithms, were developed using patient and personnel data with known input parameters to make home healthcare application planning correct. These algorithms’ accuracy and error margins were calculated, and the algorithms’ results were compared. For the prediction data, the AB model showed the best performance, and the R2 value of this algorithm was computed as 0.903. The margins of error for this algorithm were found to be 0.136, 0.018, and 0.043 for the RMSE, MSE, and MAE, respectively. This article provides short planning times and flexible solutions in home healthcare practice by avoiding manual patient healthcare application planning with the methods developed in the context of home health services.
COVID-19 Continues to Burden General Practitioners: Impact on Workload, Provision of Care, and Intention to Leave
Authors: Schrimpf Anne , Bleckwenn Markus , Braesigk Annett
Published: January 2023

General practitioners (GPs), already in a profession with a high workload, have been at the frontline of providing COVID-19-related healthcare in addition to routine care. Our study examined the impact of pandemic-related consultations and changes in practice organization on GPs’ current workload and provision of healthcare in summer 2021 (May 2021–July 2021) and early 2022 (January 2022–February 2022). In total, 143 German GPs participated in an online survey in the summer of 2021. Of these, 51 GPs participated in the follow-up survey in 2022. Most GPs perceived an increase in consultation frequency, consultation times, and workload since the pandemic outbreak. Increased consultation times were related to the reduced provision of medical care to other patients with chronic diseases. More SARS-CoV-2 vaccination consultations were associated with reduced home visits, acute consultation times, and cancer screenings. A quarter of GPs considered leaving their job. Pandemic-related bureaucracy, restricted access to therapy and rehabilitation services specialized on COVID-19, unreliable vaccine deliveries, mandatory telematics-infrastructure implementation, and frequent changes in official regulations were the main reasons reported for dissatisfaction. Our results provide insights into how the pandemic continues to burden GPs’ work routines and how better working conditions in times of high demand could be achieved in future pandemics.
Effects of Nonpharmacological Interventions on Sleep Quality and Insomnia in Perimenopausal and Postmenopausal Women: A Meta-Analysis
Authors: Ha Beomman , Kim Jisoon , So Wi-Young , Kim Seonho
Published: January 2023

This study aimed to analyze the effects of nonpharmacological interventions on perimenopausal and postmenopausal women with sleep problems. Eight databases (MEDLINE/PubMed, Cochrane Library, EMBASE, CINAHL, and four Korean databases) were searched, from their inception through to 30 November 2021, for randomized controlled trials (RCTs) evaluating the effects of nonpharmacological interventions versus control conditions on sleep quality and insomnia in perimenopausal and postmenopausal women. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), and the severity of insomnia was assessed using the Insomnia Severity Index (ISI). In the meta-analysis, corrected standardized mean differences (SMDs; Hedges’ g) and 95% confidence intervals (CIs) were calculated as effect measures by applying the random effects model and inverse variant method. Fifteen trials met our inclusion criteria. Nonpharmacological interventions were found to have positive effects on sleep quality, measured with the PSQI (SMD = −1.32; 95% CI = −1.78 to −0.86; p < 0.001), and on the severity of insomnia, measured using the ISI (SMD = −1.11; 95% CI = −1.82 to –0.41; p = 0.002), compared with the control groups. Among perimenopausal and postmenopausal women with sleep problems, nonpharmacological interventions improved sleep quality and reduced the severity of insomnia.
The State of Play on COVID-19 Vaccination in Pregnant and Breastfeeding Women: Recommendations, Legal Protection, Ethical Issues and Controversies in Italy
Authors: Scendoni Roberto , Fedeli Piergiorgio , Cingolani Mariano
Published: January 2023

To date, extensive research has been conducted on vaccination against COVID-19 during pregnancy to verify the safety and efficacy of the vaccines, despite the fact that pregnant women were excluded from the initial clinical trials. The ever-increasing number of scientific publications has confirmed the absence of biological mechanisms associating mRNA vaccines with adverse effects in pregnancy and breastfeeding, although few studies have been carried out on their effect on fertility. While the Italian legal system provides for maternity protection measures and indemnity for vaccination damages pursuant to law no. 210/1992, it is not exempt from controversy. This contribution describes the state of play on COVID-19 vaccination in pregnant and lactating women, including: current recommendations for pregnant and lactating women; ethical issues related to vaccination hesitancy among pregnant women; the legislative paradox whereby sanctions may be imposed on women in certain professional categories who refuse vaccination because they are pregnant; and the possible legal consequences in the event of harm to the unborn child due to vaccination. All of this is considered in accordance with the principles of medical ethics, taking into account the national legislation.
A Model to Predict Heartbeat Rate Using Deep Learning Algorithms
Authors: Alsheikhy Ahmed , Said Yahia F. , Shawly Tawfeeq , Lahza Husam
Published: January 2023

ECG provides critical information in a waveform about the heart’s condition. This information is crucial to physicians as it is the first thing to be performed by cardiologists. When COVID-19 spread globally and became a pandemic, the government of Saudi Arabia placed various restrictions and guidelines to protect and save citizens and residents. One of these restrictions was preventing individuals from touching any surface in public and private places. In addition, the authorities placed a mandatory rule in all public facilities and the private sector to evaluate the temperature of individuals before entering. Thus, the idea of this study stems from the need to have a touchless technique to determine heartbeat rate. This article proposes a viable and dependable method to estimate an average heartbeat rate based on the reflected light on the skin. This model uses various deep learning tools, including AlexNet, Convolutional Neural Networks (CNNs), Long Short-Term Memory Networks (LSTMs), and ResNet50V2. Three scenarios have been conducted to evaluate and validate the presented model. In addition, the proposed approach takes its inputs from video streams and converts these streams into frames and images. Numerous trials have been conducted on volunteers to validate the method and assess its outputs in terms of accuracy, mean absolute error (MAE), and mean squared error (MSE). The proposed model achieves an average 99.78% accuracy, MAE is 0.142 when combing LSTMs and ResNet50V2, while MSE is 1.82. Moreover, a comparative measurement between the presented algorithm and some studies from the literature based on utilized methods, MAE, and MSE are performed. The achieved outcomes reveal that the developed technique surpasses other methods. Moreover, the findings show that this algorithm can be applied in healthcare facilities and aid physicians.
Burden and Trend of Macrosomia and Large-for-Gestational-Age Neonates Attributable to High Pre-Pregnancy Body Mass Index in China, 2013–2017: A Population-Based Retrospective Cohort Study
Authors: Zeng Shuai , Yang Ying , Han Chunying , Mu Rongwei , Deng Yuzhi , Lv Xinyi , Xie Wenlu , Huang Jiaxin , Wu Siyu , Zhang Ya , Zhang Hongguang , He Yuan , Peng Zuoqi , Wang Yuanyuan , Shen Haiping , Wang Qiaomei , Zhang Yiping , Yan Donghai , Wang Long , Ma Xu
Published: January 2023

Background: The world is transitioning to an obese future, but few studies have measured the burden of increased maternal body mass index (BMI) on pathological fetal overgrowth, especially the trends in this burden and its heterogeneity in populations with different characteristics. Methods: A population-based retrospective cohort study was conducted with 7,998,620 Chinese females who had participated in the National Free Pre-Pregnancy Check-ups Project and became pregnant during 2013–2017. The proportions of macrosomic and LGA neonates attributable to high BMI (population attributable fraction, PAF) and annual percent change of yearly PAFs were estimated. Results: We found that the burden of macrosomic and LGA (large-for-gestational-age) neonates attributable to high pre-pregnancy BMI increased among Chinese females with planned pregnancies during 2013–2017. The PAF of macrosomia attributable to high BMI increased from 3.16% (95% confidence interval: 2.97–3.35%) to 7.11% (6.79–7.42%) by 23.60% (16.76–30.85%) annually, and the PAF of LGA increased from 2.35% (2.21–2.48%) to 5.00% (4.79–5.21%) by 21.98% (16.14–28.11%) annually. Our study identified that participants with disadvantaged socioeconomic status (including those without higher education, living in provinces with GDP per capita < 40,000 CNY, tier IV, and tier V cities) and residing in northern and southwestern China were at high risk of a rapidly expanding burden. Conclusions: Government authorities should control pre-pregnancy BMI through nationwide intervention programs and direct more resources to focus on the unfair burden on females with disadvantaged socioeconomic status.
Evaluating the Archaeological Efficacy of Bathymetric LiDAR across Oceanographic Contexts: A Case Study from Apalachee Bay, Florida
Authors: Hale Jessica W. Cook , Davis Dylan S. , Sanger Matthew C.
Published: January 2023

This study presents preliminary results from recent bathymetric LiDAR-guided surveys of submerged archaeological landscapes in the Apalachee Bay off the coast of Florida. We show how bathymetric LiDAR can re-identify previously recorded archaeological sites and identify new cultural deposits at shallow depths and help aid SCUBA surveys of submerged environments. While most prior archaeological applications of bathymetric LiDAR have focused on shipwrecks and historic era sites, our case study demonstrates that bathymetric LiDAR is capable of detecting Holocene and Pleistocene era archaeological sites as well. Detecting and eventually characterizing these ancient deposits will greatly expand our understanding of settlement trends when sea levels were lower and may provide insights into how some of the earliest coastal populations adapted to this novel and changing environment. Our SCUBA surveys also elucidate the impact of local environmental conditions of the applicability of deploying bathymetric LiDAR; specifically, eel grass cover does not hinder LiDAR capabilities, while high rates of sedimentation greatly reduce success in identifying archaeological deposits. Overall, our results show promise in the future of applying remote sensing to study shallow submerged archaeological landscapes, which can help improve our understanding of human–environment dynamics prior to and during periods of sea level change.