bluuebunny/crossref_metadata_2025 huggingface dataset:
Defining the Balearic Islands’ Tourism Data Space: An Approach to Functional and Data Requirements
Authors: Ordóñez-Martínez Dolores , Seguí-Pons Joana M. , Ruiz-Pérez Maurici
Published: February 2024

The definition of a tourism data space (TDS) in the Balearic Islands is a complex process that involves identifying the types of questions to be addressed, including analytical tools, and determining the type of information to be incorporated. This study delves into the functional requirements of a Balearic Islands’ TDS based on the study of scientific research carried out in the field of tourism in the Balearic Islands and drawing comparisons with international scientific research in the field of tourism information. Utilizing a bibliometric analysis of the scientific literature, this study identifies the scientific requirements that should be met for the development of a robust, rigorous, and efficient TDS. The goal is to support excellent scientific research in tourism and facilitate the transfer of research results to the productive sector to maintain and improve the competitiveness of the Balearic Islands as a tourist destination. The results of the analysis provide a structured framework for the construction of the Balearic Islands’ TDS, outlining objectives, methods to be implemented, and information to be considered.
Cardiac Surgery Patients Have Reduced Vascularity and Structural Defects of the Retina Similar to Persons with Open-Angle Glaucoma
Authors: Vičaitė Gabija , Barišauskaitė Liveta , Bakstytė Viktorija , Siesky Brent , Verticchio Vercellin Alice , Janulevičienė Ingrida
Published: February 2024

(1) Background: Growing evidence suggests impairment of ocular blood flow in open-angle glaucoma (OAG) pathology, but little is known about the effect of an impaired cardiovascular supply on the structural and vascular parameters of the retina. This study aims to investigate the variations of these parameters in OAG patients compared to patients undergoing cardiac surgery (CS) with cardiopulmonary bypass. (2) Methods: Prospective observational study with 82 subjects (30 controls, 33 OAG patients, and 19 CS patients) who underwent ophthalmological assessment by swept-source OCT and CDI in one randomly selected eye. (3) Results: In the CS group, OA and SPCA PSV and EDV were significantly lower, OA and SPCA RI were significantly higher compared to the OAG and healthy subjects (p = 0.000–0.013), and SPCA EDV correlated with linear CDR (r = −0.508, p = 0.027). Temporal ONH sectors of GCL++ and GCL+ layers in the CS group did not differ significantly compared to the OAG patients (p = 0.085 and p = 0.220). The CS patients had significantly thinner GCL++ and GCL+ layers in the inner sectors (p = 0.000–0.038) compared to healthy subjects, and these layers correlated with the CRA PSV, EDV, and RI and SPCA PSV (p = 0.005–0.047). (4) Conclusions: CS patients had lower vascular and structural parameters in the ONH, and macula compared to the healthy controls that were similar to persons with OAG.
Rapid Detection of Measles Virus Using Reverse Transcriptase/Recombinase Polymerase Amplification Coupled with CRISPR/Cas12a and a Lateral Flow Detection: A Proof-of-Concept Study
Authors: Pinchon Elena , Henry Steven , Leon Fanny , Fournier-Wirth Chantal , Foulongne Vincent , Cantaloube Jean-François
Published: February 2024

The measles virus is highly contagious, and efforts to simplify its diagnosis are essential. A reverse transcriptase/recombinase polymerase amplification assay coupled with CRISPR/Cas12a and an immunochromatographic lateral flow detection (RT-RPA-CRISPR-LFD) was developed for the simple visual detection of measles virus. The assay was performed in less than 1 h at an optimal temperature of 42 °C. The detection limit of the assay was 31 copies of an RNA standard in the reaction tube. The diagnostic performances were evaluated on a panel of 27 measles virus RT-PCR-positive samples alongside 29 measles virus negative saliva samples. The sensitivity and specificity were 96% (95% CI, 81–99%) and 100% (95% CI, 88–100%), respectively, corresponding to an accuracy of 98% (95% CI, 94–100%; p < 0.0001). This method will open new perspectives in the development of the point-of-care testing diagnosis of measles.
Body Stalk Anomaly
Authors: Gică Nicolae , Apostol Livia Mihaela , Huluță Iulia , Panaitescu Anca Maria , Vayna Ana Maria , Peltecu Gheorghe , Gana Nicoleta
Published: February 2024

Abdominal wall defects encompass three primary classifications: gastroschisis, omphalocele and anomalies resembling body stalk. Potential causative factors include early amnion rupture, amniotic bands, vascular disruptions or abnormal folding of the embryo. The prevalence of these defects stands at 1 in 14,000 live births. Body stalk anomaly is characterized by a substantial abdominal defect coupled with spine and limb anomalies, along with a very short or absent umbilical cord. We present a case of a rare abdominal defect known as body stalk anomaly, the most severe form of this spectrum of diseases. The diagnosis of this anomaly was established during the first trimester of pregnancy. Subsequently, the patient opted for pregnancy termination and chose not to undergo genetic testing. The anatomo-pathological results confirmed the findings. Body stalk anomaly is not compatible with life; therefore, early identification and understanding the clinical implications of this rare anomaly for informed decision-making in prenatal care are very important.
Advances and Challenges in SARS-CoV-2 Detection: A Review of Molecular and Serological Technologies
Authors: El-Daly Mai M.
Published: February 2024

The urgent need for accurate COVID-19 diagnostics has led to the development of various SARS-CoV-2 detection technologies. Real-time reverse transcriptase polymerase chain reaction (RT-qPCR) remains a reliable viral gene detection technique, while other molecular methods, including nucleic acid amplification techniques (NAATs) and isothermal amplification techniques, provide diverse and effective approaches. Serological assays, detecting antibodies in response to viral infection, are crucial for disease surveillance. Saliva-based immunoassays show promise for surveillance purposes. The efficiency of SARS-CoV-2 antibody detection varies, with IgM indicating recent exposure and IgG offering prolonged detectability. Various rapid tests, including lateral-flow immunoassays, present opportunities for quick diagnosis, but their clinical significance requires validation through further studies. Challenges include variations in specificity and sensitivity among testing platforms and evolving assay sensitivities over time. SARS-CoV-2 antigens, particularly the N and S proteins, play a crucial role in diagnostic methods. Innovative approaches, such as nanozyme-based assays and specific nucleotide aptamers, offer enhanced sensitivity and flexibility. In conclusion, ongoing advancements in SARS-CoV-2 detection methods contribute to the global effort in combating the COVID-19 pandemic.
The Role of Oxidative Stress in TB Meningitis and Therapeutic Options
Authors: Dawi John , Mohan Aishvaryaa Shree , Misakyan Yura , Affa Scarlet , Gonzalez Edgar , Hajjar Karim , Nikoghosyan David , Fardeheb Sabrina , Tuohino Christopher , Venketaraman Vishwanath
Published: February 2024

Meningitis is an inflammatory condition affecting the meninges surrounding the brain and spinal cord. Meningitis can be triggered by various factors, including infectious agents like viruses and bacteria and non-infectious contributors such as cancer or head injuries. The impact of meningitis on the central nervous system involves disruptions in the blood–brain barrier, cellular infiltrations, and structural alterations. The clinical features that differentiate between tuberculous meningitis (TBM) and non-tuberculous meningitis (NTM) are discussed in this review and aid in accurate diagnosis. The intricate interplay of reactive oxygen species, ferroptosis, and reactive nitrogen species within the central nervous system reveals a promising field of research for innovative therapeutic strategies tailored to TBM. This review highlights the alternative treatments targeting oxidative stress-induced TBM and ferroptosis, providing potential avenues for intervention in the pathogenesis of this complex condition.
Quantum Implementation of the SAND Algorithm and Its Quantum Resource Estimation for Brute-Force Attack
Authors: Wu Hongyu , Feng Xiaoning , Zhang Jiale
Published: February 2024

The SAND algorithm is a family of lightweight AND-RX block ciphers released by DCC in 2022. Our research focuses on assessing the security of SAND with a quantum computation model. This paper presents the first quantum implementation of SAND (including two versions of SAND, SAND-64 and SAND-128). Considering the depth-times-width metric, the quantum circuit implementation of the SAND algorithm demonstrates a relatively lower consumption of quantum resources than that of the quantum implementations of existing lightweight algorithms. A generalized Grover-based brute-force attack framework was implemented and employed to perform attacks on two versions of the SAND algorithm. This framework utilized the g-database algorithm, which considered different plaintext–ciphertext pairs in a unified manner, reducing quantum resource consumption. Our findings indicate that the SAND-128 algorithm achieved the NIST security level I, while the SAND-64 algorithm fell short of meeting the requirements of security level I.
Examining Teachers’ Perception on the Impact of Positive Feedback on School Students
Authors: Câmpean Adina , Bocoș Mușata , Roman Alina , Rad Dana , Crișan Claudia , Maier Monica , Tăușan-Crișan Liana , Triff Zorica , Triff Dorin-Gheorghe , Mara Daniel , Mara Elena-Lucia , Răduț-Taciu Ramona , Todor Ioana , Baciu Ciprian , Neacșu Mihaela-Gabriela , Dumitru Ioana , Colareza Corina Costache , Roman Claudia Elena
Published: February 2024

This study investigates the influence of positive feedback on students’ motivation and engagement in the classroom. It explores teachers’ perspectives on how positive feedback affects students’ learning involvement and motivation. The research focuses on various aspects of feedback delivery, particularly emphasizing the nuances of positive feedback. The main objective is to determine if there is a statistically significant correlation between the provision of positive feedback during educational activities and students’ motivation levels. The study underscores the crucial role of feedback in shaping student motivation and stresses the significance of positive feedback in creating an inclusive and supportive learning environment. The research question revolves around understanding how positive feedback influences students’ motivation and involvement in the classroom. The study employs qualitative methods, including interviews and surveys, to gather teachers’ perceptions and experiences regarding positive feedback practices. The results reveal that teachers perceive positive feedback as a powerful tool for enhancing students’ motivation and engagement in learning activities. In conclusion, this research underscores the importance of incorporating positive feedback strategies in educational settings to foster a supportive and motivating learning environment for students.
Transformer Core Fault Diagnosis via Current Signal Analysis with Pearson Correlation Feature Selection
Authors: Domingo Daryl , Kareem Akeem Bayo , Okwuosa Chibuzo Nwabufo , Custodio Paul Michael , Hur Jang-Wook
Published: February 2024

The role of transformers in power distribution is crucial, as their reliable operation is essential for maintaining the electrical grid’s stability. Single-phase transformers are highly versatile, making them suitable for various applications requiring precise voltage control and isolation. In this study, we investigated the fault diagnosis of a 1 kVA single-phase transformer core subjected to induced faults. Our diagnostic approach involved using a combination of advanced signal processing techniques, such as the fast Fourier transform (FFT) and Hilbert transform (HT), to analyze the current signals. Our analysis aimed to differentiate and characterize the unique signatures associated with each fault type, utilizing statistical feature selection based on the Pearson correlation and a machine learning classifier. Our results showed significant improvements in all metrics for the classifier models, particularly the k-nearest neighbor (KNN) algorithm, with 83.89% accuracy and a computational cost of 0.2963 s. For future studies, our focus will be on using deep learning models to improve the effectiveness of the proposed method.
Image Division Using Threshold Schemes with Privileges
Authors: Ogiela Marek R. , Ogiela Lidia
Published: February 2024

Threshold schemes are used among cryptographic techniques for splitting visual data. Such methods allow the generation of a number of secret shares, a certain number of which need to be assembled in order to reconstruct the original image. Traditional techniques for partitioning secret information generate equal shares, i.e., each share has the same value when reconstructing the original secret. However, it turns out that it is possible to develop and use partitioning protocols that allow the generation of privileged shares, i.e., those that allow the reconstruction of secret data in even smaller numbers. This paper will therefore describe new information sharing protocols that create privileged shares, which will also use visual authorization codes based on subject knowledge to select privileged shares for secret restoration. For the protocols described, examples of their functioning will be presented, and their complexity and potential for use in practical applications will be determined.
Pattern Augmented Lightweight Convolutional Neural Network for Intrusion Detection System
Authors: Tadesse Yonatan Embiza , Choi Young-June
Published: February 2024

As the world increasingly becomes more interconnected, the demand for safety and security is ever-increasing, particularly for industrial networks. This has prompted numerous researchers to investigate different methodologies and techniques suitable for intrusion detection systems (IDS) requirements. Over the years, many studies have proposed various solutions in this regard, including signature-based and machine learning (ML)-based systems. More recently, researchers are considering deep learning (DL)-based anomaly detection approaches. Most proposed works in this research field aim to achieve either one or a combination of high accuracy, considerably low false alarm rates (FARs), high classification specificity and detection sensitivity, lightweight DL models, or other ML and DL-related performance measurement metrics. In this study, we propose a novel method to convert a raw dataset to an image dataset to magnify patterns by utilizing the Short-Term Fourier transform (STFT). The resulting high-quality image dataset allowed us to devise an anomaly detection system for IDS using a simple lightweight convolutional neural network (CNN) that classifies denial of service and distributed denial of service. The proposed methods were evaluated using a modern dataset, CSE-CIC-IDS2018, and a legacy dataset, NSLKDD. We have also applied a combined dataset to assess the generalization of the proposed model across various datasets. Our experimental results have demonstrated that the proposed methods achieved high accuracy and considerably low FARs with high specificity and sensitivity. The resulting loss and accuracy curves have demonstrated the efficacy of our raw dataset to image dataset conversion methodology, which is evident as an excellent generalization of the proposed lightweight CNN model was observed, effectively avoiding overfitting. This holds for both the modern and legacy datasets, including their mixed versions.
BioWin Modeling of CalPrex Phosphorus Recovery from Wastewater Predicts Substantial Nuisance Struvite Reduction
Authors: Vineyard Donald , Karthikeyan K.G. , Barak Phillip
Published: February 2024

The wastewater treatment industry could benefit from new technologies for the removal and recovery of phosphorus (P). The CalPrex precipitation reactor has the potential to recover P in a readily land-applicable form by treating organic acid digestate with calcium hydroxide to produce brushite. Using data from a pilot-scale reactor at the local Nine Springs Wastewater Treatment Plant in Madison, WI, we modified the plant’s BioWin configuration using BioWin 6.2 to model the CalPrex technology and estimate performance under a variety of conditions. We produced dose/response curves for a range of possible lime dosages to estimate the impact of reagent dosage on the quantity and composition of precipitate produced by the CalPrex reactor and characterize the effects on downstream anaerobic digester performance. CalPrex was found to capture 46% of the plant’s influent P, reducing nuisance struvite precipitates by 57% and biosolid sludge production by 14%. The CalPrex module was also tested in two predesigned plant configurations in the BioWin cabinet with the intention of testing applicability to other configurations and searching for the impacts of CalPrex on treatment train performance. This is the first work simulating a full-scale implementation of CalPrex and the first to model interactions of CalPrex with other treatment processes.
Cannabis Use and Its Impact on Mental Health in Youth in Australia and the United States: A Scoping Review
Authors: Baral Aayush , Hanna Fahad , Chimoriya Ritesh , Rana Kritika
Published: February 2024

Cannabis is a widely used substance among the youth population, with an estimated 2.8% currently smoking cannabis. Its popularity is growing due to the perception of its harmless nature and lack of dependence. However, this increase in use has been linked to mental health issues, especially since its partial decriminalisation in some part of the United States and Australia. The objective of this scoping review was to investigate the mental health impact of cannabis use among young people in Australia and the United States. A scoping review was conducted according to the Joanna Briggs Institute (JBI) protocol, and articles were searched from ProQuest Central and EBSCO Host (MEDLINE and CINAHL databases). A total of 24 articles were analysed, including systematic reviews, meta-analyses, and cohort, longitudinal, and cross-sectional studies. The findings indicate that cannabis use is associated with depression, psychosis, suicide, cannabis use disorder, dependence, decline in cognitive function, and the development of externalising behaviour, particularly attention deficit hyperactivity disorder. However, the relationship between cannabis use and anxiety is equivocal. Mental health issues were more prevalent with increased frequency, duration, intensity, and type of use. Female, minority, LGBTQI, African American, Aboriginal, and Torres Strait Islander youth and the age of onset of cannabis use were significant factors for the development of mental health problems. The increasing prevalence of cannabis use among high school and college students suggests the need for intervention by teachers, parents, and community health professionals to make them aware of its potential negative mental health outcomes. Moreover, policy-level interventions by the government are required to discourage young people from using cannabis.
Production Optimization, Partial Characterization, and Gluten-Digesting Ability of the Acidic Protease from Clavispora lusitaniae PC3
Authors: Djekrif Scheherazed Dakhmouche , El Hadef El Okki Amel Ait Kaki , Bennamoun Leila , Djekrif Abdelhak , Nouadri Tahar , Gillmann Louisa
Published: February 2024

Protease-producing yeasts were isolated from potato wastes and screened for protease production on skim milk agar plates. The best producer of protease isolate was identified as Clavispora lusitaniae. The strain showed higher enzyme production using tomato pomace and bread waste mix as a solid fermentation substrate. The optimized conditions improved enzyme activity and showed a maximal production of 33,450 ± 503 IU/g compared with the initial activity of 11,205.78 ± 360 without medium optimization. A threefold increase in protease activity after medium optimization proved the reliability of using the PBD and CCD design. A 19.76-fold purified enzyme and a yield of 32.94% were obtained after purification. The protease showed maximum activity at pH 4 and 60 °C and was resistant to Tween 20, Tween 80, SDS, and β-mercaptoethanol, Ca2+, and Mg2+ stimulated it. The protease activity was strongly inhibited in the presence of urea, and EDTA. The results revealed Clavispora lusitaniae protease’s ability to degrade wheat seeds and flour gluten by 98.7% and 97% respectively under pH 4 for 24 h at 40 °C. According to this study, this enzyme could be a potential candidate for the food industry, particularly for treating wheat seed and flour to reduce the immunogenicity of gluten.
Experimental Study on Shear Performance of Concrete Beams Reinforced with Externally Unbonded Prestressed CFRP Tendons
Authors: Qi Hetao , Jiang Haozhe , Wang Bing , Zhuge Ping
Published: February 2024

To investigate the reinforcing effect of externally prestressed carbon-fiber-reinforced polymer (CFRP) tendons on the shear performance of reinforced concrete beams, a set of model tests was designed. Static load comparative tests were conducted on one original beam and four reinforced beams to experimentally investigate the impacts of the prestress level and damage in the shear zone on the shear reinforcement effect and analyze the reinforcement mechanism of CFRP tendons. The results show that in the beams reinforced with CFRP, the CFRP tendons could work collaboratively with the stirrups to reduce the strain on the stirrups; the increasing rate in the yield load was 28–70%. After the stirrups yielded, the CFRP tendons did not yet reach their ultimate tensile strength and could still withstand increased shear forces, resulting in an increasing rate of the ultimate load for the reinforced beams with a CFRP content of 56–78%. The enhancements in both the yield load and the ultimate load were positively correlated with the level of prestress in the CFRP tendons. This reinforcement technique efficiently restricts the growth and delays the first appearance of diagonal cracks. The prestress can close the pre-existing diagonal cracks and provide a reserve of shear capacity for the beams. The initial damage in the shear zone decreases the initial shear stiffness and increases the width of the initial diagonal cracks. However, this effect gradually diminishes as the load increases and does not significantly impact the shear capacity. Prestressing can significantly improve the strength utilization rate of the CFRP reinforcement when the reinforced beams fail. The deformation of the CFRP tendon is directly related to the shear deformation. By combining this relationship with the truss–arch model, the shear capacity for the reinforced beam can be predicted. The predicted results exhibit an error of less than 10% when compared to the test results, offering valuable design guidance for reinforced engineering composites.
The Impact of a Six-Hour Light–Dark Cycle on Wheat Ear Emergence, Grain Yield, and Flour Quality in Future Plant-Growing Systems
Authors: Clauw Helena , Van de Put Hans , Sghaier Abderahman , Kerkaert Trui , Debonne Els , Eeckhout Mia , Steppe Kathy
Published: February 2024

Cultivating wheat (Triticum aestivum) in a closed environment offers applications in both indoor farming and in outer-space farming. Tailoring the photoperiod holds potential to shorten the growth cycle, thereby increasing the annual number of cycles. As wheat is a long-day plant, a night shorter than a critical length is required to induce flowering. In growth chambers, experiments were conducted to examine the impact of a 6 h light–dark cycle on the timing of wheat ear emergence, grain yield, and flour quality. Under equal daily light-integral conditions, the 6 h light–dark cycle promoted growth and development, resulting in accelerated ear emergence when compared to a 12 h cycle, additionally indicating that 12 h of darkness was excessive. To further stimulate heading and increase yield, the 6 h cycle was changed at the onset of stem elongation to a 14 h–10 h, mimicking spring conditions, and maintained until maturity. This successful transition was then combined with two levels of light intensity and nutrient solution, which did not significantly impact yield, while tillering and grain ripening did increase under higher light intensities. Moreover, it enabled manipulation of the baking quality, although lower-end falling numbers were observed. In conclusion, combining a 6 h light–dark cycle until stem elongation with a 14 h–10 h cycle presents a promising strategy for increasing future wheat production in closed environments. The observation of low falling numbers underscores the importance of factoring in flour quality when designing the wheat-growing systems of the future.
Updated Parameters for Listeria monocytogenes Dose–Response Model Considering Pathogen Virulence and Age and Sex of Consumer
Authors: Pouillot Régis , Kiermeier Andreas , Guillier Laurent , Cadavez Vasco , Sanaa Moez
Published: February 2024

Better knowledge regarding the Listeria monocytogenes dose–response (DR) model is needed to refine the assessment of the risk of foodborne listeriosis. In 2018, the European Food Safety Agency (EFSA) derived a lognormal Poisson DR model for 14 different age–sex sub-groups, marginally to strain virulence. In the present study, new sets of parameters are developed by integrating the EFSA model for these sub-groups together with three classes of strain virulence characteristics (“less virulent”, “virulent”, and “more virulent”). Considering classes of virulence leads to estimated relative risks (RRs) of listeriosis following the ingestion of 1000 bacteria of “less virulent” vs. “more virulent” strains ranging from 21.6 to 24.1, depending on the sub-group. These relatively low RRs when compared with RRs linked to comorbidities described in the literature suggest that the influence of comorbidity on the occurrence of invasive listeriosis for a given exposure is much more important than the influence of the virulence of the strains. The updated model parameters allow better prediction of the risk of invasive listeriosis across a population of interest, provided the necessary data on population demographics and the proportional contribution of strain virulence classes in food products of interest are available. An R package is made available to facilitate the use of these dose–response models.
The Flavor Characteristics, Antioxidant Capability, and Storage Year Discrimination Based on Backpropagation Neural Network of Organic Green Tea (Camellia sinensis) during Long-Term Storage
Authors: Wen Xiaomei , Han Shanjie , Wang Jiahui , Zhang Yanxia , Tan Lining , Chen Chen , Han Baoyu , Wang Mengxin
Published: February 2024

The storage period of tea is a major factor affecting tea quality. However, the effect of storage years on the non-volatile major functional components and quality of green tea remains largely unknown. In this study, a comparative analysis of organic green teas with varying storage years (1–16 years) was conducted by quantifying 47 functional components, using electronic tongue and chromatic aberration technology, alongside an evaluation of antioxidative capacity. The results indicated a significant negative correlation between the storage years and levels of tea polyphenols, total amino acids, soluble sugars, two phenolic acids, four flavonols, three tea pigments, umami amino acids, and sweet amino acids. The multivariate statistical analysis revealed that 10 functional components were identified as effective in distinguishing organic green teas with different storage years. Electronic tongue technology categorized organic green teas with different storage years into three classes. The backpropagation neural network (BPNN) analysis demonstrated that the classification predictive ability of the model based on the electronic tongue was superior to the one based on color difference values and 10 functional components. The combined analysis of antioxidative activity and functional components suggested that organic green teas with shorter storage periods exhibited stronger abilities to suppress superoxide anion radicals and hydroxyl radicals and reduce iron ions due to the higher content of eight components. Long-term-stored organic green teas, with a higher content of substances like L-serine and theabrownins, demonstrated stronger antioxidative capabilities in clearing both lipid-soluble and water-soluble free radicals. Therefore, this study provided a theoretical basis for the quality assessment of green tea and prediction of green tea storage periods.
Caffeic Acid Phenethyl Ester Encapsulated in Self-Assemble Rice Peptides Nanoparticles: Storage Stability, In Vitro Release, and Their Interaction Mechanisms
Authors: Wang Xinyue , Feng Siyi , Song Hongdong
Published: February 2024

Caffeic acid phenethyl ester (CAPE) is an important active component of propolis with many bioactivities. However, its efficiency and practical application are restricted due to its poor aqueous solubility and storage stability. In this study, a nanocarrier was fabricated to encapsulate CAPE using self-assembled rice peptides obtained by controllable enzymolysis. The physicochemical properties, encapsulation efficiency, and loading capacity of rice peptides nanoparticles (RPNs) were characterized. The storage stability, in vitro release, and interaction mechanisms between CAPE and RPNs were investigated. The results showed that RPNs, mainly assembled by disulfide bonds and hydrogen bonds, possessed an effective diameter of around 210 nm and a high encapsulation efficiency (77.77%) and loading capacity (3.89%). Importantly, the water solubility of CAPE was increased by 45 times after RPNs encapsulation. Moreover, RPNs encapsulation also significantly increased CAPE stability, about 1.4-fold higher than that of unencapsulated CAPE after 18-day storage. An in vitro release study demonstrated that RPNs could delay the release of CAPE, implying a better CAPE protection against extreme environments during digestion. Hydrogen bond and van der Waals force are the predominant interaction forces between RPNs and CAPE. Therefore, the newly developed nanoparticle is a potential delivery system that could effectively improve the aqueous solubility and stability of CAPE.
The Complexity of Chinese Cereal Vinegar Flavor: A Compositional and Sensory Perspective
Authors: Zhu Hong , Liang Kehong , Zhu Dazhou , Sun Junmao , Qiu Ju
Published: February 2024

With a millennium-long history, traditional Chinese cereal vinegar (CCV) is a significant part of China’s cultural heritage. The unique flavor of CCV is derived from the use of cereal and its bran as raw materials and solid-state fermentation as a brewing technique. This paper systemically summarized recent research progress on the aroma compounds in CCV, the biochemical generation of aroma compounds during the brewing process, and the association between sensory perception and the primary aroma compounds. Furthermore, a complete CCV lexicon and sensory wheel prototype were constructed. This study aims to lay a foundation for future CCV aroma research, quality improvement, and industrialization.
The Existence of Solutions for w-Weighted ψ-Hilfer Fractional Differential Inclusions of Order μ ∈ (1, 2) with Non-Instantaneous Impulses in Banach Spaces
Authors: Alsheekhhussain Zainab , Ibrahim Ahmad Gamal , Al-Sawalha Mohammed Mossa , Jawarneh Yousef
Published: February 2024

In this research, we obtain the sufficient conditions that guarantee that the set of solutions for an impulsive fractional differential inclusion involving a w-weighted ψ-Hilfer fractional derivative, D0,tσ,v,ψ,w,of order μ∈(1,2), in infinite dimensional Banach spaces that are not empty and compact. We demonstrate the exact relation between a differential equation involving D0,tσ,v,ψ,w of order μ ∈(1,2) in the presence of non-instantaneous impulses and its corresponding fractional integral equation. Then, we derive the formula for the solution for the considered problem. The desired results are achieved using the properties of the w-weighted ψ-Hilfer fractional derivative and appropriate fixed-point theorems for multivalued functions. Since the operator D0,tσ,v,ψ,w includes many types of well-known fractional differential operators, our results generalize several results recently published in the literature. We give an example that illustrates and supports our theoretical results.
“Are Ye Fantastical?”: Shakespeare’s Weird W[omen] in the 21st-Century Indian Adaptations Maqbool, Mandaar and Joji
Authors: Mondal Subarna , Sen Anindya
Published: February 2024

Shakespeare’s Macbeth has traveled a long way from its original milieu. This paper takes three major 21st-century Indian adaptions of Macbeth as its primary texts. The city of Mumbai in the west in Maqbool, an imaginary coastal Bengal village in the east in Mandaar, and the suburbs of Kerala in Joji in the south of the subcontinent become sites of “creative mistranslations” of the play. In this paper, we take the ambiguity that Shakespeare’s witches evoke in the early 17th-century Scottish world as a point of entry and consider how that ambiguity is translated in its 21st-century Indian on-screen adaptations. Cutting across spaciotemporal boundaries, the witches remain a source of utmost significance through their presence/absence in the adaptations discussed. In Maqbool, Shakespeare’s heath-hags become male upper-caste law-keepers, representing the tyrannies of state machinery. Mandaar’s witches become direct agents of Mandaar’s annihilation at the end after occupying a deceptively marginal position in the sleazy world of Gailpur. In an apparent departure, Joji’s world is shorn of witches, making him appear as the sole perpetrator of the destruction in a fiercely patriarchal family. A closer reading, however, reveals the ominous presence of some insidious power that defies the control of any individual. The compass that directs Macbeth and its adaptations, from the West to the East, from 1606 to date, is the fatalism that the witches weave, in their seeming absence as well as in their portentous presence. We cannot help but consider them as yardsticks in any tragedy that deals with the age-old dilemma of predestination and free will.
Psychometric Validation of the Portuguese Obsession with COVID-19 Scale (PT-OCS)
Authors: Pires Mónica Taveira , Mourão Susana , Santos José
Published: February 2024

The psychological effects of the COVID-19 pandemic on the Portuguese population are quite relevant and partially related to their repetitive and disruptive thinking about the disease. The successive periods of lockdown contributed to an additional burden on the family–work–life balance for parents. This study aims to validate the Portuguese version of the Obsession with COVID-19 Scale (PT-OCS), which was developed using a general sample from several regions of the country (n = 531) together with a specific sample of Portuguese parents (n = 109). The confirmatory factor analysis results indicate that the PT-OCS includes a set of excellent psychometric properties concerning both the general sample (χ2(1) = 0.446, p = 0.504; CFI = 1.0; GFI = 1.0; RMSEA = 0.0; standardised RMR = 0.003) and the parent group (χ2(2) = 1.816, p = 0.403; CFI = 1.0; GFI = 0.99; RMSEA = 0.0; standardised RMR = 0.016; Bollen–Stine bootstrap p = 0.65). The scale shows very good reliability (0.84 < α/ω < 0.88). As expected, obsession with COVID-19 was highly correlated with COVID-19 anxiety, and women had higher PT-OCS scores. The findings suggest that the PT-OCS is a reliable and valid measure for both persistent and disruptive thinking about COVID-19 in different groups of the Portuguese population, with potential for studying future epidemic events.
Evaluation of the Impact of Cochlear Implantation on Patients’ Working Life: A Cross-Sectional Study
Authors: Olgun Yüksel , Arayici Mehmet Emin , İncesulu Armağan , Tuncer Ülkü , Güneri Enis Alpin , Ellidokuz Hülya , Olgun Levent
Published: February 2024

Hearing loss that arises from various causes at different stages of life has a direct impact on individuals’ physical and mental well-being. This paper aimed to evaluate the employment, workplace adaptation, productivity, and professional success of individuals who have hearing loss and whose hearing loss is corrected with a cochlear implant. In this cross-sectional study, data were collected between November 2022 and March 2023 with the participation of individuals with cochlear implants living in several settlements in all regions of Türkiye. A total of 142 participants with severe hearing loss who were corrected with a cochlear implant were included in this study. The survey method was used to collect data for the study. The questionnaire consisted of 32 questions and was distributed to the participants online. In the first part of the questionnaire (questions 1–10), the general characteristics of implant patients were investigated. In the second part (questions 11–32), the positive or negative effects of implantation on the work lives of the participants were evaluated. Almost half of the research group (49.3%, n = 70) consisted of women, and the mean age of the participants was determined to be 35.8 ± 14.8 years. There was no significant difference between gender, educational status, implanted side, working time, working style (physical, desk), and factors affecting work life (p > 0.05). Professional satisfaction and success at work increased significantly more in those with acquired hearing loss (p = 0.010). Post-implantation workplace compliance, success, and productivity were found to be higher in those with acquired hearing loss (p = 0.013). Hearing loss had a significantly less negative impact on work performance in those implanted in childhood than in those implanted in adulthood (p = 0.043). It was observed that hearing loss had a greater negative impact on the work life of married people (p = 0.006). Cochlear implantation greatly enhances workplace satisfaction, increases self-confidence, and has a positive impact on the future of profoundly deaf individuals.
Outcomes of Patients with Lower Limb Loss after Using a Training Prosthesis: A Retrospective Case Series Study
Authors: Pelzer Doriane , Beaudart Charlotte , Bornheim Stephen , Maertens de Noordhout Benoît , Schwartz Cédric , Kaux Jean-François
Published: February 2024

The aim of this retrospective case series study was to investigate outcomes in patients with lower limb loss based on whether or not they used a training prosthesis (TP) during rehabilitation. The medical records of 171 consecutive patients admitted to rehabilitation hospitalization between January 2014 and December 2018 following a major amputation of the lower limb were reviewed. Patients were categorized into two groups: patients who underwent rehabilitation with a TP and patients who did not use a TP. Outcomes (i.e., discharge destination, length of stay, number of sockets required, and number of the size adaptation of each socket, as well as functional level) were compared between groups. Of the 171 patients, 126 underwent rehabilitation with a TP, and 45 patients underwent rehabilitation without any TP. In conclusion, we found that patients who used a TP had a significantly shorter hospital length of stay when compared to those who did not. This length of stay for patients with TP was not influenced by age but was lowered by a higher body mass index (BMI), tibial instead of femoral amputation, and the male gender. No association was found between the use of TP and discharge destination, functional level, number of socket modifications, and number of sockets required.
A Fatal Case of Presumptive Diagnosis of Leptospirosis Involving the Central Nervous System
Authors: Alexopoulou Christina , Proklou Athanasia , Kokkini Sofia , Raissaki Maria , Konstantinou Ioannis , Kondili Eumorfia
Published: February 2024

Leptospirosis is a reemerging zooanthroponosis with a worldwide distribution, though it has a higher incidence in areas with tropical climate. A characteristic finding of the disease is its wide spectrum of symptoms and organ involvement, as it can appear either with very mild flu-like manifestations or with multiorgan failure, affecting the central nervous system (CNS) with a concomitant hepatorenal dysfunction (Weil’s syndrome) and significant high mortality rate. We report herein a fatal case of a 25 years old female, previously healthy, with impaired neurological status. She had high fever and severe multiorgan failure. The clinical data and the epidemiological factors were not conclusive for the diagnosis, and the first serology test from the cerebrospinal fluid (CSF) and sera samples were negative. When the repetition of the blood test showed elevated IgM antibodies, Leptospirosis was the presumptive diagnosis. Although CNS involvement is rare, the diagnosis should be considered when there is an elevated risk of exposure. The diagnostic protocol should encompass direct evidence of the bacterium and indirect measurement of antibodies. Timely detection and management are imperative to forestall complications and fatality associated with the disease.
A Review on the Prevalence of Poor Mental Health in the Construction Industry
Authors: Blair Winkler Rachel , Middleton Campbell , Remes Olivia
Published: February 2024

A plethora of studies on the prevalence of poor mental health have been undertaken in the general population. Nevertheless, an understanding of the prevalence of poor mental health in the context of high-risk settings, such as construction, is missing. This is noteworthy as poor mental health is widespread in this context. Given that over 100 million people work in construction on a global scale, a better understanding of the burden of poor mental health in construction is needed. To this end, a review on the prevalence of key mental health-related conditions in construction was undertaken. Through this review, over 1000 papers were identified through PubMed and Google Scholar. After applying inclusion and exclusion criteria, a final set of 19 documents were included. Results showed that anxiety and depressive disorders, as well as psychological distress, have a high burden in construction. Vulnerable population subgroups (e.g., women, minority ethnic groups) were identified. Construction is a high-risk setting and despite this, the burden of poor mental health in this context is not given the importance it deserves. This review sheds light on the prevalence of key conditions, which are linked to high humanistic and economic burden. This review provides a foundation and useful starting point for further investigations, and results from this review may be used to inform future research, workplace interventions, and policy.
From Meditation to Techno-Mindfulness: On the Medicalization of Contemplative Practices and Future Prospects
Authors: Divino Federico
Published: February 2024

This article explores the historical transformation of mindfulness, through a process of transculturation and commodification, into a biopolitical tool and analyzes possible future scenarios in which this tool will acquire even greater biopolitical strength through the integration of technological devices and artificial intelligence applications, particularly focusing on the growing divide between mindfulness-based therapies and traditional meditation. While both methodologies share the common objective of providing health and psychophysical benefits, they differ fundamentally in their theoretical frameworks, with mindfulness being egolatric and performance oriented while traditional meditation emphasizes transcending psychophysical identity. The development of mindfulness has been influenced by the sociocultural context of neoliberal and capitalist societies, resulting in a model that fosters self-regulation and emphasizes social control. The article also examines the potential biopolitical risks arising from the integration of AI-powered tools into mindfulness-based therapies. The increasing use of digital devices and applications for monitoring physical and mental health may contribute to a society characterized by constant self-surveillance and self-monitoring, reinforcing biopolitical control of the body. Consequently, this raises critical questions regarding the limits of surveillance and the potential exploitation of vulnerabilities through the incorporation of AI-powered tools.
Productivity and Fruit Quality of ‘FalstaffPBR’ Pear Variety Grafted on Different Rootstocks
Authors: Caracciolo Giuseppina , Pietrella Marco , Pallotti Giuseppe , Faedi Giulia , Sirri Sandro , Baruzzi Gianluca
Published: February 2024

‘FalstaffPBR’ is a pear variety released by CREA and New Plant in 2012. This study focused on the effects of various clonal rootstocks on the main productive and qualitative traits of ‘FalstaffPBR’ scion. The rootstocks used were ‘EMC’, ‘EMH’, and ‘BA29’ for quince (Cydonia oblonga) and pear ‘Farold 40’ (Pyrus communis). Plants were planted in 2009 with a layout that, depending on the used rootstock, varied between 60 and 120 cm on the row, according to the rootstock standard planting system, and 350 cm between rows. The average yield calculated in the trail field in the 4 years of production (2014–2017) was over 22.7 tons ha−1 on ‘BA29’, 22.8 tons ha−1 on ‘EMH’, 16.3 tons ha−1 on ‘Farold 40’, and 18.4 on ‘EMC’. Fruits of the plants grafted on ‘Farold 40’ always had a medium-to-high size, while fruits produced by the plants grafted onto ‘BA29’ have been larger in size since the first years of production. The plants grafted onto ‘EMH’ produced fruits with the highest percentage of red overcolor. The ‘EMH’ rootstock is optimal for ‘FalstaffPBR’ as it gives the plant an intermediate vigor between ‘BA29’ and ‘EMC’, and a good yield per hectare from the first planting years; the average fruit size is excellent.
Predicting Healthcare Mutual Fund Performance Using Deep Learning and Linear Regression
Authors: Boonprasope Anuwat , Tippayawong Korrakot Yaibuathet
Published: February 2024

Following the COVID-19 pandemic, the healthcare sector has emerged as a resilient and profitable domain amidst market fluctuations. Consequently, investing in healthcare securities, particularly through mutual funds, has gained traction. Existing research on predicting future prices of healthcare securities has been predominantly reliant on historical trading data, limiting predictive accuracy and scope. This study aims to overcome these constraints by integrating a diverse set of twelve external factors spanning economic, industrial, and company-specific domains to enhance predictive models. Employing Long Short-Term Memory (LSTM) and Multiple Linear Regression (MLR) techniques, the study evaluates the effectiveness of this multifaceted approach. Results indicate that incorporating various influencing factors beyond historical data significantly improves price prediction accuracy. Moreover, the utilization of LSTM alongside this comprehensive dataset yields comparable predictive outcomes to those obtained solely from historical data. Thus, this study highlights the potential of leveraging diverse external factors for more robust forecasting of mutual fund prices within the healthcare sector.