bluuebunny/crossref_metadata_2025 huggingface dataset:
Fruitful Brewing: Exploring Consumers’ and Producers’ Attitudes towards Beer Produced with Local Fruit and Agroindustrial By-Products
Authors: Cela Nazarena , Fontefrancesco Michele Filippo , Torri Luisa
Published: August 2024

This study explored beer consumers’ and producers’ perceptions of using local fruit and agroindustrial by-products in brewing. An online survey was conducted in Italy with 496 beer consumers and 54 beer producers. The survey assessed sociodemographic information, consumption behavior, and support for brewery neolocalism, along with brewers’ perceptions of the sustainability of their breweries. Findings showed high consumers’ involvement in sustainable eating and high support for breweries utilizing local resources and operating in a sustainable way. Breweries rated their sustainability practices as moderate, and most of them considered their efforts in using local raw materials and repurposing by-products as “excellent”. Both consumers and producers considered beer made with agroindustrial by-products less tasty than those with local fruit (p < 0.05), but no significant difference in willingness to buy was observed (p > 0.05). According to cluster analysis results, the ideal consumer profile for sustainable beers was characterized by a higher proportion of females prioritizing sustainability and local sourcing over sensory quality. Therefore, using local materials or agroindustrial by-products can align brewers’ practices with consumers’ preferences, enhancing competitiveness and market positioning by fostering a sense of sustainability and locality.
How Does Domestic Cooking Affect the Biochemical Properties of Wild Edible Greens of the Asteraceae Family?
Authors: Liava Vasiliki , Fernandes Ângela , Reis Filipa , Finimundy Tiane , Mandim Filipa , Pinela José , Stojković Dejan , Ferreira Isabel C. F. R. , Barros Lillian , Petropoulos Spyridon A.
Published: August 2024

Wild edible greens are a key ingredient of the so-called Mediterranean diet and they are commonly used in various local dishes in their raw or processed form. Domestic processing of edible greens may affect their nutritional value and chemical profile. In this work, six wild species (e.g., Cichorium spinosum L. (S1); Centaurea raphanina subsp. mixta (DC.) Runemark (S2); Picris echioides (L.) Holub (S3); Urospermum picroides (L.) Scop. ex. F.W. Schmidt (S4); Sonchus oleraceus L. (S5); and S. asper L. (S6)) were assessed for the effect of domestic processing (boiling) on chemical composition and bioactivities. Concerning the chemical composition, glucose, oxalic acid, α-tocopherol, and α-linolenic acid were the most abundant compounds, especially in P. echiodes leaves. After decoction, mainly sugars, tocopherols, and oxalic acid were decreased. The species and processing affected the phenolic compounds content and antioxidant, cytotoxicity, and anti-inflammatory activities. Specific compounds were not previously detected in the studied species, while hydroethanolic extracts contained a higher total phenolic compound content. Hydroethanolic and aqueous extracts were effective towards a range of bacterial and fungi strains. Therefore, the consumption of leaves has health-promoting properties owing to the bioactive compounds and can be integrated into healthy diets. However, domestic cooking may affect the chemical profile and bioactivities of the edible leaves, especially in the case of free sugars and phenolic compound content where a significant reduction was recorded in leaves after decoction. On the other hand, domestic processing could be beneficial since it reduces the oxalic acid content in edible leaves, which is considered an antinutritional factor.
Construction of a Food Safety Evaluation System Based on the Factor Analysis of Mixed Data Method
Authors: Liu Yiqiong , Cai Shengmei , He Xuelei , He Xiaowei , Yue Tianli
Published: August 2024

Food safety evaluation, which aims to reflect food safety status, is an important part of food safety management. Traditional food evaluation methods often consider limited data, and the evaluation process is subjective, time-consuming, and difficult to popularize. We developed a new food safety evaluation system that incorporates simple qualification degrees, food consumption, project hazard degrees, sales channels, food production regions, and other information obtained from food safety sampling and inspection to reflect the food safety situation accurately, objectively, and comprehensively. This evaluation model combined the statistical method and the machine learning method. The optimal distance method was used to calculate the basic qualification degree, and then expert elicitation via a questionnaire and the factor analysis of mixed data method (FADM) was applied to modify the basic qualification degree so as to obtain the food safety index, which indicates food safety status. Then, the effectiveness of this new method was verified by calculating and analyzing of the food safety index in region X. The results show that this model can clearly distinguish food safety levels in different cities and food categories and identify food safety trends in different years. Thus, this food safety evaluation system based on the FADM quantifies the real food safety level, screens out cities and food categories with high food safety risks, and, finally, helps to optimize the allocation of regulatory resources and provide technical and theoretical support for government decision-making.
Strategies to Reduce Salt Content: PDO and PGI Meat Products Case
Authors: Fraqueza Maria João , Alfaia Cristina Mateus , Rodrigues Sandra Sofia , Teixeira Alfredo
Published: August 2024

The reduction of sodium chloride (NaCl) content, commonly known as salt, in processed meat products is one of the objectives of health organizations and government authorities to achieve healthier products. This reformulation of traditional meat products with protected designations poses more constraints, as they have a more consolidated quality image and less margin for change, since consumers appreciate the products for their unique sensory characteristics. The aim of this work is to present some of the strategies that have been explored to obtain meat products with low sodium content. Information related to the characteristics of traditional meat products with quality marks and geographical indications in different studies is discussed in opposition to the information recorded in their product specifications. It was found that the product specifications of meat products with Portuguese Protected Designation of Origin (PDO) and Protected Geographical Indication (PGI) show a wide variation in the NaCl content, much higher than the recommended values. Thus, one of the requirements to be implemented will be the parameterization of NaCl levels and their monitorization by control and certification organizations as a way to ensure product quality. It is also urgent to examine whether healthy innovation strategies may affect the quality of traditional PDO or PGI meat products and whether they can be included in the respective product specifications.
Seafood Consumption Trends among U.S. Consumers: Influences of the COVID-19 Pandemic
Authors: Errickson Lauren B. , Jin Yanhong , Zemeckis Douglas , Hallman William K.
Published: August 2024

The Dietary Guidelines for Americans (DGA) recommend twice-weekly consumption of seafood for health benefits, yet many U.S. consumers have historically fallen short of this target. The economic and societal impacts of the COVID-19 pandemic brought concern about further declines in seafood intake. This study evaluated the influence of COVID-19 on seafood intake among U.S. residents, toward understanding potential public health implications. A nationally representative cross-sectional survey of 1200 U.S. residents conducted in June 2021 evaluated the frequency and types of seafood consumed, and purchase methods used, before and during the early stages of the COVID-19 pandemic. The results (weighted data) indicate most U.S. consumers (90%) eat seafood, yet only 19% meet the seafood DGA. The likelihood of meeting the DGA was higher among consumers who were Asian, Black, or Hispanic; older; unmarried; of higher income; familiar with the DGA; choosing seafood for health reasons; and living in Atlantic or Gulf coast states. During COVID-19, some increased seafood intake for health reasons (45%), while others reduced intake due to factors such as cost (29%), limited availability (16%), and challenges with preparation (11%). Fresh salmon (68%), frozen shrimp (59%), and cooked oysters (41%) were most frequently purchased by consumers of these foods. More consumers indicated purchasing wild salmon (62%), shrimp (44%), and oysters (51%) than farm-raised products, though many were unsure. Fewer consumers included seafood in online grocery orders (36%) than meal kit orders (61%) when using these services. Though many consumers continued to eat seafood despite decreased restaurant patronage, most did not reach the intake level needed to maximize health benefits. Educational and marketing efforts promoting the health benefits of seafood and the convenience of procurement via online purchase methods may encourage intake across demographic groups to benefit public health outcomes in the U.S.
Use of Integral Forage Palm Flour as an Innovative Ingredient in New Fettuccine-Type Pasta: Thermomechanical and Technological Properties, and Sensory Acceptance
Authors: Silva Luiz Eliel Pinheiro da , Moreira Sander Rodrigues , Neves Nathalia de Andrade , Aguiar Etiene Valéria de , Capriles Vanessa Dias , Amaral Tatiana Nunes , Schmiele Marcio
Published: August 2024

Dehydrated integral forage palm cladode flour (FPF) presents a promising nutritional and functional approach to enriching fettuccine-type pasta. This study investigated the use of microwave-dehydrated FPF (at 810 W) as a partial wheat flour substitute (0, 5, 10, 15, and 20% w/w) in fresh and dry fettuccine-type pasta. The thermomechanical properties of flour blends and the technological and sensory attributes of the resulting pasta were evaluated. FPF displayed a high protein (15.80%), mineral (15.13%), dietary fiber (67.35%), and total soluble phenolic compound (251 mg EAG·100 g−1) content. While water absorption (~58%) and dough stability remained consistent across formulations, a decrease in maximum torque during heating was observed (p < 0.05). Fettuccine-type pasta containing 10% FPF exhibited an acceptable optimal cooking time, solid loss, weight gain, and textural properties for both fresh and dry pasta. Sensory evaluation revealed acceptability above 63% for pasta with 10% FPF, with a slight preference for the fresh version. Fresh pasta flavored with garlic and extra virgin olive oil (garlic and oil pasta) achieved a sensory acceptance rate of 79.67%. These findings demonstrate the potential of FPF for fettuccine-type pasta production, contributing desirable technological characteristics and achieving acceptable sensory profiles.
Targeting Cancer Hallmarks Using Selected Food Bioactive Compounds: Potentials for Preventive and Therapeutic Strategies
Authors: Talib Wamidh H. , Abed Ilia , Raad Daniah , Alomari Raghad K. , Jamal Ayah , Jabbar Rand , Alhasan Eman Omar Amin , Alshaeri Heba K. , Alasmari Moudi M. , Law Douglas
Published: August 2024

Cancer continues to be a prominent issue in healthcare systems, resulting in approximately 9.9 million fatalities in 2020. It is the second most common cause of death after cardiovascular diseases. Although there are difficulties in treating cancer at both the genetic and phenotypic levels, many cancer patients seek supplementary and alternative medicines to cope with their illness, relieve symptoms, and reduce the side effects of cytotoxic drug therapy. Consequently, there is an increasing emphasis on studying natural products that have the potential to prevent or treat cancer. Cancer cells depend on multiple hallmarks to secure survival. These hallmarks include sustained proliferation, apoptosis inactivation, stimulation of angiogenesis, immune evasion, and altered metabolism. Several natural products from food were reported to target multiple cancer hallmarks and can be used as adjuvant interventions to augment conventional therapies. This review summarizes the main active ingredients in food that have anticancer activities with a comprehensive discussion of the mechanisms of action. Thymoquinone, allicin, resveratrol, parthenolide, Epigallocatechin gallate, and piperine are promising anticancer bioactive ingredients in food. Natural products discussed in this review provide a solid ground for researchers to provide effective anticancer functional food.
Baby Foods: 9 Out of 62 Exceed the Reference Limits for Acrylamide
Authors: Bonucci Arianna , Urbani Stefania , Servili Maurizio , Selvaggini Roberto , Daidone Luigi , Dottori Ilenia , Sordini Beatrice , Veneziani Gianluca , Taticchi Agnese , Esposto Sonia
Published: August 2024

Acrylamide (AA) is a contaminant resulting from the Maillard reaction and classified by the International Agency for Research on Cancer (IARC) as a probable carcinogen in Group 2A, with proven neurotoxic effects on humans. European Union (EU) Regulation No. 2017/2158 is currently in force, which establishes measures meant to reduce AA levels in food and sets reference values, but not legal limits, equal to 40 and 150 μg/kg AA in processed cereal-based foods intended for infants and young children and in biscuits and rusks, respectively. For this reason, sixty-two baby foods were analyzed using ultra-high performance liquid chromatography with diode array detector and quadrupole time-of-flight mass spectrometry (UHPLC-DAD-Q-TOF/MS) to check whether industries were complying with these values, even though AA control is not legally mandatory. In total, 14.5% of the samples exceeded the reference values; these were homogenized chicken products (211.84 ± 16.53, 154.32 ± 12.71, 194.88 ± 7.40 μg/kg), three biscuits (276.36 ± 0.03, 242.06 ± 0.78, 234.78 ± 4.53 μg/kg), a wheat semolina (46.07 ± 0.23 μg/kg), a homogenized product with plaice and potatoes (45.52 ± 0.28 μg/kg), and a children’s snack with milk and cocoa (40.95 ± 0.32 μg/kg). Subsequently, the daily intake of AA was estimated, considering the worst-case scenario, as provided by the consumption of homogenized chicken products and biscuits. The results are associated with margins of exposure (MOEs) that are not concerning for neurotoxic effects but are alarming for the probable carcinogenic effects of AA.
Influence of In Vitro Digestion on Dipeptidyl Peptidase-IV (DPP-IV) Inhibitory Activity of Plant-Protein Hydrolysates Obtained from Agro-Industrial By-Products
Authors: Pérez-Gálvez Raúl , Berraquero-García Carmen , Ospina-Quiroga J. Lizeth , Espejo-Carpio F. Javier , Almécija M. Carmen , Guadix Antonio , García-Moreno Pedro J. , Guadix Emilia
Published: August 2024

This study investigates the production of protein hydrolysates with dipeptidyl peptidase-IV (DPP-IV) inhibitory activity from agro-industrial by-products, namely olive seed, sunflower seed, rapeseed, and lupin meals, as well as from two plant protein isolates such as pea and potato. Furthermore, the effect of simulated gastrointestinal digestion on the DPP-IV inhibitory activity of all the hydrolysates was evaluated. Overall, the lowest values of IC50 (1.02 ± 0.09 – 1.24 ± 0.19 mg protein/mL) were observed for the hydrolysates with a high proportion of short-chain [< 1 kDa] peptides (i.e., olive seed, sunflower seed, and lupin) or high content of proline (i.e., rapeseed). Contrarily, the IC50 of the pea and potato hydrolysates was significantly higher (1.50 ± 0.13 – 1.93 ± 0.13 mg protein/mL). In vitro digestion led to an increase in peptides <1 kDa for almost all hydrolysates (except olive and sunflower seed meals), which was noticeable for rapeseed, pea, and potato hydrolysates. Digestion did not significantly modify the DPP-IV inhibitory activity of olive, sunflower, rapeseed, and potato hydrolysates, whereas a significant decrease in IC50 value was obtained for pea hydrolysate and a significant increase in IC50 was obtained for lupin hydrolysate. Thus, this work shows the potential of agro-industrial by-products for the production of protein hydrolysates exhibiting DPP-IV inhibition.
Forecasting Lattice and Point Spatial Data: Comparison of Unilateral and Multilateral SAR Models
Authors: Grillenzoni Carlo
Published: August 2024

Spatial auto-regressive (SAR) models are widely used in geosciences for data analysis; their main feature is the presence of weight (W) matrices, which define the neighboring relationships between the spatial units. The statistical properties of parameter and forecast estimates strongly depend on the structure of such matrices. The least squares (LS) method is the most flexible and can estimate systems of large dimensions; however, it is biased in the presence of multilateral (sparse) matrices. Instead, the unilateral specification of SAR models provides triangular weight matrices that allow consistent LS estimates and sequential prediction functions. These two properties are strictly related and depend on the linear and recursive nature of the system. In this paper, we show the better performance in out-of-sample forecasting of unilateral SAR (estimated with LS), compared to multilateral SAR (estimated with maximum likelihood, ML). This conclusion is supported by numerical simulations and applications to real geological data, both on regular lattices and irregularly distributed points.
Approximate Controllability of Hilfer Fractional Stochastic Evolution Inclusions of Order 1 < q < 2
Authors: Shukla Anurag , Panda Sumati Kumari , Vijayakumar Velusamy , Kumar Kamalendra , Thilagavathi Kothandabani
Published: August 2024

This paper addresses the approximate controllability results for Hilfer fractional stochastic differential inclusions of order 1<q<2. Stochastic analysis, cosine families, fixed point theory, and fractional calculus provide the foundation of the main results. First, we explored the prospects of finding mild solutions for the Hilfer fractional stochastic differential equation. Subsequently, we determined that the specified system is approximately controllable. Finally, an example displays the theoretical application of the results.
A Novel Contact Resistance Model for the Spherical–Planar Joint Interface Based on Three Dimensional Fractal Theory
Authors: An Qi , Wang Weikun , Huang Min , Suo Shuangfu , Liu Yue , Wang Shuai
Published: August 2024

In order to obtain the contact resistance of relay contacts more accurately, a novel contact resistance model for the spherical–planar joint interface is constructed based on the three-dimensional fractal theory. In this model, three-dimensional fractal theory is adopted to generate a rough surface at microscopic scale. Then, using contact mechanics theory, the deformation mechanism of asperities on rough surfaces is explored. Combined with the distribution of asperities, a contact resistance model for the planar joint interface is established. Furthermore, by introducing the surface contact coefficient, cross-scale coupling between the macro-geometric configuration and micro-surface topography is achieved, and a contact resistance model for the spherical–planar joint interface is constructed. After that, experiments are conducted to verify the accuracy of the proposed model, and the maximum relative error of the proposed model is 8.44%. Ultimately, combining numerical simulation analysis, the patterns of variation in contact resistance influenced by factors such as macroscopic configuration and microscopic topography are discussed, thereby revealing the influence mechanism of the contact resistance for the spherical–planar joint interface. The proposed model provides a solid theoretical foundation for the optimization of relay contact structures and improvements in manufacturing processes, which is of great significance for ensuring the safe and stable operation of power systems and electronic equipment.
Impact of Antioxidant-Enriched Edible Gel Coatings and Bio-Based Packaging on Cherry Tomato Preservation
Authors: Giacondino Corinne , De Bruno Alessandra , Puntorieri Davide , Pizzimenti Martina , Piscopo Amalia
Published: August 2024

This research investigates the effects of using edible gel coatings and bio-based packaging materials on extending the shelf life of cherry tomatoes. Two edible gel coatings (guar gum and guar gum +5% of a lemon (Citrus limon (L.) Osbeck pomace extract obtained in the research laboratory) were applied on cherry tomatoes, then they were packaged in bio-based materials (cellulose tray + PLA lid). Guar gum, glycerol, sorbitol, extra virgin olive oil, and tween 20 were used in coating formulation. Uncoated tomatoes packed in bio-based materials and conventional plastic (PET trays + lid) were tested as a control. Samples were stored for 45 days at 20 °C and their quality parameters were evaluated. Coated tomatoes maintained firmness and weight, and the enriched coated samples showed a significant increase in phenol content, derived from the antioxidant extract. Samples packed in PET showed a sensory unacceptability (<4.5) after 45 days correlated with a greater decline in firmness (from 10.51 to 5.96 N) and weight loss (from 7.06 to 11.02%). Therefore, edible gel coating and bio-based packaging proved to be effective in maintaining the overall quality of cherry tomatoes for 45 days, offering a promising approach to reduce plastic polymer use and food waste.
A Novel Biomineralized Collagen Liquid Crystal Hydrogel Possessing Bone-like Nanostructures by Complete In Vitro Fabrication
Authors: Li Xiaoting , Wang Qiaoying , Wei Qingrong
Published: August 2024

The microstructure of bone consists of nano-hydroxyapatite (nano-HA) crystals aligned within the interspaces of collagen fibrils. To emulate this unique microstructure of bone, this work applied two biomimetic techniques to obtain bone-like microstructures in vitro, that is, combining the construction of collagen liquid crystal hydrogel (CLCH) with the application of a polymer-induced liquid precursor (PILP) mineralization process. Upon the elevation of pH, the collagen macromolecules within the collagen liquid crystal (CLC) were activated to self-assemble into CLCH, whose fibrils packed into a long and dense fiber bundle in high orientation, emulating the dense-packed matrix of bone. We demonstrated that the fibrillar mineralization of CLCH, leading to a bone-like nanostructured inorganic material part, can be achieved using the PILP crystallization process to pre-mineralize the dense collagen substrates of CLCH with CaCO3, immediately followed by the in situ mineral phase transformation of CaCO3 into weak-crystalline nano-HA. The combination of CLCH with the biomineralization process of PILP, together with the mineral phase transformation, achieved the in vitro simulation of the nanostructures of both the organic extracellular matrix (ECM) and inorganic ECM of bone. This design would constitute a novel idea for the design of three-dimension biomimetic bone-like material blocks for clinical needs.
Linking Affect Dynamics and Well-Being: A Novel Methodological Approach for Mental Health
Authors: Simoncini Gloria , Borghesi Francesca , Cipresso Pietro
Published: August 2024

Emotions are dynamic processes; their variability relates to psychological well-being and psychopathology. Affective alterations have been linked to mental diseases like depression, although little is known about how similar patterns occur in healthy individuals. This study investigates the psychophysiological correlations of emotional processing in healthy subjects, specifically exploring the relationship between depressive traits, cognitive distortions, and facial electromyographic (f-EMG) responses during affective transitions. A cohort of 44 healthy participants underwent f-EMG recording while viewing emotional images from the International Affective Picture System (IAPS). Self-report measures included the Beck Depression Inventory (BDI) and the Cognitive Distortion Scale (CDS). Higher BDI scores were associated with increased EMG activity in the corrugator muscle during transitions between positive and negative emotional states. Cognitive distortions such as Catastrophizing, All-or-Nothing Thinking, and Minimization showed significant positive correlations with EMG activity, indicating that individuals with higher levels of these distortions experienced greater facial muscle activation during emotional transitions. This study’s results indicate that there is a bidirectional correlation between depressed features and cognitive distortions and alterations in facial emotional processing, even in healthy subjects. Facial EMG in the context of dynamic affective transitions has the potential to be used as a non-invasive method for detecting abnormal emotional reactions at an early stage. This might help in identifying individuals who are at risk of developing depression and guide therapies to prevent its advancement.
COVID-19 Recovery Time and Its Predictors among Hospitalized Patients in Designated Hospitals in the Madhesh Province of Nepal: A Multicentric Study
Authors: Singh Jitendra Kumar , Acharya Dilaram , Gautam Salila , Neupane Dinesh , Bajgain Bishnu Bahadur , Mishra Raman , Yadav Binod Kumar , Chhetri Pradip , Lee Kwan , Shah Ankur
Published: August 2024

This study aimed to determine COVID-19 recovery time and identify predictors among hospitalized patients in the Dhanusha District of Madhesh Province, Nepal. This hospital-based longitudinal study involved 507 COVID-19 patients admitted to three distinct medical facilities for therapeutic intervention between April and October 2021. Data were collected for patient demography, symptoms, vital signs, oxygen saturation levels, temperatures, heart rates, respiratory rates, blood pressure measurements, and other health-related conditions. Kaplan–Meier survival curves estimated the recovery time, and a Cox proportional hazard model was used to identify the predictors of recovery time. For the total participants, mean age was 51.1 (SD = 14.9) years, 68.0% were males. Of the total patients, 49.5% recovered, and 16.8% died. The median for patient recovery was 26 days (95% CI: 25.1–26.7). Patients with severe or critical conditions were less likely to recover compared to those with milder conditions (hazard ratio (HR) = 0.34, 95% CI: 0.15–0.79; p = 0.012). In addition, an increase in oxygen saturation was associated with an elevated likelihood of recovery (HR = 1.09, 95% CI = 1.01–1.17, p = 0.018). This study underscores the need for early admission to hospital and emphasizes the targeted interventions in severe cases. Additionally, the results highlight the importance of optimizing oxygen levels in COVID-19 patient care.
The Role of Physical Fitness in Emotional Well-Being and Distress during Pregnancy: The GESTAFIT Project
Authors: Marín-Jiménez Nuria , Flor-Alemany Marta , Baena-García Laura , Corres Pablo , Molina-Hidalgo Cristina , Aparicio Virginia A.
Published: August 2024

Pregnancy involves various physiological, physical, and social changes that can impact the mental health of the woman, causing her to have a stressful experience. Physical fitness (PF) is postulated as a powerful marker of health in this population. Therefore, this longitudinal study examined the association of PF with maternal emotional well-being and ill-being outcomes at 16th and 34th gestational weeks (g.w.) in a sample of 158 pregnant women (32.9 ± 4.7 years old). Self-reported PF was assessed with the valid and feasible International Fitness Scale [i.e., overall PF, cardiorespiratory fitness (CRF), muscular strength, speed–agility, and flexibility]; positive and negative affect, emotional intelligence, and resilience were measured using validated questionnaires specifically designed for this purpose. The results showed that women with greater overall PF and its components showed higher positive affect and lower negative affect (all, p < 0.05); greater emotional intelligence (all, p < 0.05); and greater resilience (all, p < 0.05), with similar results both in the 16th and the 34th g.w. These findings underscore the pivotal role of PF in promoting emotional health and resilience during pregnancy, thereby highlighting the need for integrating PF enhancement strategies in prenatal care programs.
Sociodemographic Variables in Offender and Non-Offender Patients Diagnosed with Schizophrenia Spectrum Disorders—An Explorative Analysis Using Machine Learning
Authors: Hofmann Andreas B. , Dörner Marc , Machetanz Lena , Kirchebner Johannes
Published: August 2024

With the growing availability of medical data and the enhanced performance of computers, new opportunities for data analysis in research are emerging. One of these modern approaches is machine learning (ML), an advanced form of statistics broadly defined as the application of complex algorithms. ML provides innovative methods for detecting patterns in complex datasets. This enables the identification of correlations or the prediction of specific events. These capabilities are especially valuable for multifactorial phenomena, such as those found in mental health and forensic psychiatry. ML also allows for the quantification of the quality of the emerging statistical model. The present study aims to examine various sociodemographic variables in order to detect differences in a sample of 370 offender patients and 370 non-offender patients, all with schizophrenia spectrum disorders, through discriminative model building using ML. In total, 48 variables were tested. Out of seven algorithms, gradient boosting emerged as the most suitable for the dataset. The discriminative model finally included three variables (regarding country of birth, residence status, and educational status) and yielded an area under the curve (AUC) of 0.65, meaning that the statistical discrimination of offender and non-offender patients based purely on the sociodemographic variables is rather poor.
Nurses’ Role in Obesity Management in Adults in Primary Healthcare Settings Worldwide: A Scoping Review
Authors: Piwowarczyk Emilia , MacPhee Maura , Howe Jo
Published: August 2024

Obesity is a chronic, prevalent, and complex health condition that adversely impairs physical and mental health. The World Health Organization calls for integrating obesity care into existing chronic disease management programs within primary healthcare services. This scoping review aimed to examine registered nurses’ roles in the primary healthcare management of individuals with obesity. A scoping review was conducted using the Johanna Briggs Institute methodology framework. Thematic analysis was used to identify and categorize nurses’ roles in primary healthcare obesity management of adults. Of 1142 documents included in this review, 15 papers met the inclusion criteria. Thematic analysis yielded the following six themes representing nurses’ major roles: patient-centred care, patient assessments, therapeutic interventions, care management, patient education, and professional development. This review identified that the literature on nurses’ roles primarily described their focus on lifestyle interventions (mainly nutrition and physical activity), anthropometric measurements, health planning, goal setting, supportive care, monitoring progress, and arranging follow-up. The Discussion highlights the importance of determining RN knowledge gaps and biases. More research is required to determine the need for additional RN pre-and or post-education related to obesity as a complex chronic disease.
Machine Learning and Wearable Technology: Monitoring Changes in Biomedical Signal Patterns during Pre-Migraine Nights
Authors: Kapustynska Viroslava , Abromavičius Vytautas , Serackis Artūras , Paulikas Šarūnas , Ryliškienė Kristina , Andruškevičius Saulius
Published: August 2024

Migraine is one of the most common neurological disorders, characterized by moderate-to-severe headache episodes. Autonomic nervous system (ANS) alterations can occur at phases of migraine attack. This study investigates patterns of ANS changes during the pre-ictal night of migraine, utilizing wearable biosensor technology in ten individuals. Various physiological, activity-based, and signal processing metrics were examined to train predictive models and understand the relationship between specific features and migraine occurrences. Data were filtered based on specified criteria for nocturnal sleep, and analysis frames ranging from 5 to 120 min were used to improve the diversity of the training sample and investigate the impact of analysis frame duration on feature significance and migraine prediction. Several models, including XGBoost (Extreme Gradient Boosting), HistGradientBoosting (Histogram-Based Gradient Boosting), Random Forest, SVM, and KNN, were trained on unbalanced data and using cost-sensitive learning with a 5:1 ratio. To evaluate the changes in features during pre-migraine nights and nights before migraine-free days, an analysis of variance (ANOVA) was performed. The results showed that the features of electrodermal activity, skin temperature, and accelerometer exhibited the highest F-statistic values and the most significant p-values in the 5 and 10 min frames, which makes them particularly useful for the early detection of migraines. The generalized prediction model using XGBoost and a 5 min analysis frame achieved 0.806 for accuracy, 0.638 for precision, 0.595 for recall, and 0.607 for F1-score. Despite identifying distinguishing features between pre-migraine and migraine-free nights, the performance of the current model suggests the need for further improvements for clinical application.
Associations of Treatment Outcome Expectations and Pain Sensitivity after Cervical Spine Manipulation in Patients with Chronic Non-Specific Neck Pain: A Cohort Study
Authors: Paleta Danai , Karanasios Stefanos , Diamantopoulos Nikolaos , Martzoukos Nektarios , Zampetakis Nikolaos , Moutzouri Maria , Gioftsos George
Published: August 2024

(1) Background: This cohort study aimed to evaluate the effect of patients’ treatment expectations on pain perception changes following manual therapy cervical manipulations in individuals with chronic mechanical neck pain. (2) Methods: Demographic data were collected by 56 subjects who were asked to fill out the Neck Disability Index (NDI) and the Expectations for Treatment Scale (ETS). All patients received one single cervical manipulation, and pressure pain thresholds (PPTs) were measured before and immediately after the manipulation with a digital algometer. (3) Results: A total of 56 patients participated. Most subjects (62.5%) had high treatment expectations according to the ETS scale. Statistically significant increases in PPTs were noted both locally and in remote areas (p < 0.05), with 37.5–48.2% of participants showing clinically significant changes in pain perception. However, no statistically significant correlation was found between high treatment expectations and increased PPTs (p > 0.05). (4) Conclusions: Although a significant reduction in pain perception was observed, it did not correlate with patients’ treatment expectations. Future research for further investigation of this hypothesis by comparing real versus sham treatment and exploring additional mechanisms affecting changes in PPTs after cervical manipulations in this population will contribute to a better understanding of the research question.
First Results of Pediatric Robotic Inguinal Hernia Repair with the Senhance® Surgical System: A Matched Cohort Study
Authors: Eurlings Roxanne , Killaars Rianne E. M. , Cakir Hamit , Dirix Marc , Theeuws Olivier , Staib Ludger , Stephan Dietmar , Visschers Ruben G. J. , van Gemert Wim G.
Published: August 2024

Introduction: Inguinal hernia repair (IHR) is one of the most common procedures in pediatric surgery. In children, the application of robotic surgery is limited, meaning safety and efficacy is still to be assessed. This report is the first one worldwide that describes inguinal hernia repair in children using the Senhance® Surgical System (SSS®). The aim of this matched cohort study is to assess safety and feasibility of robot-assisted IHR (RIHR) in children, compared to conventional laparoscopic IHR (LIHR). Patients and methods: This pilot study included 26 consecutive patients between 3 months and 8 years old who underwent RIHR (31 IH’s) with the SSS® between 2020 and 2024. These cases were matched based on gender, age, and unilateral or bilateral IH, with 26 patients (32 IH’s) who underwent conventional LIHR. Results: There was a significant difference in total anesthesia time, which is most likely due to the extra time needed to dock the robot in the RIHR cases. No significant difference was seen in surgical time. One recurrence (3.2%) was diagnosed in both groups. One patient in the LIHR group was readmitted on the day of discharge due to a hemorrhage. No intervention was necessary, and the patient was discharged 1 day later. Discussion: In this pilot study, the use of the robotic system was safe and feasible. More experience, further improvement of the system for use in very small children, and investigation in a larger sample size with long-term follow-up is necessary to evaluate efficacy.
Exploration of Workplace Bullying among Nurses: A Focus on Clinical Settings
Authors: Alharbi Manal F. , Alotebe Sami M. , Alotaibi Turki M. , Sindi Nawal A. , Alrashidi Dalal N. , Alanazi Hala K.
Published: August 2024

Purpose: Healthcare practitioners in Saudi Arabia sometimes experience workplace bullying (WPB). However, more research on this issue must be carried out in the country. This study aimed to investigate the prevalence of WPB and how individual factors among nurses contribute to different experiences of WPB in clinical settings. Methods: This cross-sectional quantitative study occurred among registered nurses in Riyadh, Saudi Arabia. A self-administered questionnaire was used, and nurses filled it out via a Google survey that included sociodemographic details such as age, gender, education, and the WBS to gauge the prevalence of workplace bullying in hospital settings. Results: Of 416 nurses, 58.7% were aged between 31 and 40, and 76.9% were women. The prevalence of WPB was found to be 54.8%. WPB was higher among middle-aged nurses, men, charge/managerial nurses, nurses with higher education, those with 3 to 6 years of experience, and those working in specialty units. Conclusions: More than half of the nurses had experienced WPB at some point. Middle-aged nurses, especially men with higher education and more experience in specialty units, were the most common victims of WPB compared to other registered nurses.
Exiguobacterium acetylicum Strain SI17: A Potential Biocontrol Agent against Peronophythora litchii Causing Post-Harvest Litchi Downy Blight
Authors: Huang Shilian , Lv Xinmin , Zheng Li , Guo Dongliang
Published: August 2024

Litchi downy blight (LDB) caused by Peronophythora litchii destroys 20–30% of litchi fruit every year and causes significant economic losses. Some Exiguobacterium strains exhibit considerable promise in both agricultural and industrial sectors. E. acetylicum SI17, isolated from the litchi fruit carposphere, demonstrated significant biocontrol activity against LDB through pre-harvest treatment. To elucidate its underlying regulatory mechanisms, the genome of SI17 was sequenced and analyzed, revealing a circular chromosome spanning 3,157,929 bp and containing 3541 protein-coding genes and 101 RNA genes. Notably, 94 genes were implicated in the production of secondary metabolites. Among the 29 Exiguobacterium strains so far sequenced, SI17 possessed the largest genome. In the phylogenomic analysis encompassing the entire genome, SI17 was clustered into Group I. Treating litchi fruit with SI17 before harvesting resulted in a decrease in H2O2 content in the fruit peel and an increase in superoxide dismutase activity, thus enhancing resistance to LDB. Interestingly, SI17 did not display plate antagonism against Peronophythora litchii SC18. It can be inferred that SI17 generates secondary metabolites, which enhance litchi’s resistance to LDB. This study represents the first documentation of an Exiguobacterium strain exhibiting a role in litchi plant disease and showcasing significant potential for the biological control of LDB.
Assessing Elemental Diversity in Edible-Podded Peas: A Comparative Study of Pisum sativum L. var. macrocarpon and var. saccharatum through Principal Component Analysis, Correlation, and Cluster Analysis
Authors: Yadav Saurabh , Dhall Rajinder Kumar , Singh Hira , Kumar Parteek , Bhatia Dharminder , Kumari Priyanka , Rana Neha
Published: August 2024

This study assessed eleven elements in 24 edible-podded peas, including sugar snap pea and snow pea genotypes aiming to identify promising parents for nutraceutical breeding. Elemental concentrations of pods (dry weight basis) were estimated through inductively coupled plasma-optical emission spectroscopy (ICP-OES). The ranges for these elements varied significantly, highlighting the diverse elemental profiles within the edible-podded pea genotypes. All the elements exhibited a high genotypic and phenotypic coefficient of variation along with considerable heritability and hereditary progress. Positive and significant correlations were recorded among all elements, suggesting the potential for simultaneous selection for these traits. Principal component analysis (PCA) revealed that the first two components accounted for 80.56% of the variation. Further, cluster analysis, based on Euclidean distance, grouped the 24 cultivars into two major clusters. Cluster I exhibited higher means for all estimated concentrations compared to Cluster II. Notably, Dwarf Grey Sugar and Arka Sampoorna from the snap pea group and PED-21-5 and Sugar Snappy from the sugar snap pea in Cluster II demonstrated superior elemental concentration in whole pods. The selected edible-podded pea genotypes serve as valuable genetic resources for new cultivar development, particularly in biofortification efforts targeting whole pod nutrient composition.
Increasing Sweet Orange Growth in the Winter Nursery with Supplemental Light and Heating
Authors: Bisi Rayane Barcelos , Bowman Kim D. , Albrecht Ute
Published: August 2024

In the winter season, citrus nursery production faces challenges including shorter days, lower light levels, and lower temperatures that delay vegetative budbreak and scion shoot growth. With the goal of improving the production cycle in the citrus nursery, we investigated the effect of supplemental LED light on the production of bud-grafted citrus trees during short winter days. Three experiments were conducted under different temperature conditions. “Washington” Navel sweet orange (Citrus sinensis) was budded on Carrizo citrange (C. sinensis × Poncirus trifoliata) and Rubidoux trifoliate (P. trifoliata) rootstocks in early December. Light treatments included no supplemental light, day-length extension to 16 h with LED light, and night interruption (1 h of LED light at night). Day-length extension and night interruption were studied with and without preconditioning plants with the respective light treatments for 6 weeks before grafting. Day-length extension increased the scion growth, but only when supplemental heating was provided, implying that low temperatures are a limiting factor for plant growth. Growth effects were stronger when the Navel scion was grafted on Carrizo compared to Rubidoux, likely because of the higher dormancy of the latter rootstock. Night interruption did not affect scion budbreak or growth under any of the tested conditions. Preconditioning enhanced scion growth in some instances. The results suggest that the use of supplemental LED light to extend the day length may increase plant growth during the short winter days, but the effects are limited under low-temperature conditions.
An Efficient Detection of the Pitaya Growth Status Based on the YOLOv8n-CBN Model
Authors: Qiu Zhi , Zhuo Shiyue , Li Mingyan , Huang Fei , Mo Deyun , Tian Xuejun , Tian Xinyuan
Published: August 2024

The pitaya is a common fruit in southern China, but the growing environment of pitayas is complex, with a high density of foliage. This intricate natural environment is a significant contributing factor to misidentification and omission in the detection of the growing state of pitayas. In this paper, the growth states of pitayas are classified into three categories: flowering, immature, and mature. In order to reduce the misidentification and omission in the recognition process, we propose a detection model based on an improvement of the network structure of YOLOv8, namely YOLOv8n-CBN. The YOLOv8n-CBN model is based on the YOLOv8n network structure, with the incorporation of a CBAM attention mechanism module, a bidirectional feature pyramid network (BiFPN), and a C2PFN integration. Additionally, the C2F module has been replaced by a C2F_DCN module containing a deformable convolution (DCNv2). The experimental results demonstrate that YOLOv8n-CBN has enhanced the precision, recall, and mean average precision of the YOLOv8n model with an IoU threshold of 0.5. The model demonstrates a 91.1% accuracy, a 3.1% improvement over the original model, and an F1 score of 87.6%, a 3.4% enhancement over the original model. In comparison to YOLOv3-tiny, YOLOv5s, and YOLOv5m, which are highly effective target detection models, the mAP@0.50–0.95 of our proposed YOLOv8n-CBN is observed to be 10.1%, 5.0%, and 1.6% higher, respectively. This demonstrates that YOLOv8n-CBN is capable of more accurately identifying and detecting the growth status of pitaya in a natural environment.
A Monte Carlo Model for WWTP Effluent Flow Treatment through Enhanced Willow Evapotranspiration
Authors: Tegos Aristoteles
Published: August 2024

The effectiveness of using enhanced evapotranspiration rates of willow plantation is a modern environmentally friendly practice for advanced treatment of effluent WWTP flow. The key idea is that through advanced willow evapotranspiration rates, a significant proportion of the effluent flow can be transferred into the atmosphere through the physical process of evapotranspiration. This study further discusses the concept in a real-world problem using a wide dataset consisting of a recent PET monthly remote dataset namely RASPOTION, monthly recorded rainfall gauge, and experimental willow evapotranspiration surveys across Ireland, to identify the monthly cropping pattern. A Monte Carlo water balance model has been developed for the period 2003–2016. The model was applied in an existing willow plantation at Donard WWTP co. Wicklow, Ireland to identify the exceedance probability of willow plantation runoff against estimated low flows (i.e., Q95, Q99) at the adjacent small tributary. In this case study, any failure which can lead to river quality deterioration was not assessed. The overall framework aims to provide new insights considering the multiple sources of uncertainty (i.e., monthly willow cropping pattern and WWTP effluent flow) in associated environmental engineering problems.
Corporate Culture, Special Items, and Firm Performance
Authors: Kim S. Thomas , Sun Li
Published: August 2024

This study analyzes the relationship between corporate culture, the likelihood of reporting special items, and firm performance. We find a significant negative relation between corporate culture and special items using more than 55,000 firm-year observations from 6931 U.S. corporations between 2002 and 2021. The result suggests that firms with strong corporate cultures are less likely to use and report special items. Firms with lower performance mainly drive the negative relation; the pattern indicates that firms with weaker corporate cultures are prone to manage earnings using special items.