Undervalued tuna meat (Thunus obesus and Katsuwonus pelamis lineaus) to develop sausages / Carne infravalorada de atún (Thunnus obesus y Katsuwonus pelamis linnaeus) para desarrollar salchichas

Background: The tuna industry is one of the most essential sectors in global food production. Nevertheless, commercial meat known as "tuna loin" holds the utmost significance in producing and marketing its various products. Regrettably, fractions like tail and head meat have been overlooked and wasted due to their comparatively lower commercial value. Despite possessing notable technological value, this meat is typically reutilized into animal feed through flour production, missing the chance to create alternative high-value food products. Objective: This study aimed to develop and evaluate the sausages produced with the underutilized cuts of tuna (tail and head meat). Methods: The tuna utilized were Big-eye (Thunus obesus) and Skip-jack (Katsuwonus pelamis lineaus). Three (3) different types of sausages were formulated using 100% of Big-eye (BE), 100% of Skip-jack (SJ) tuna meat, and 100% of beef/pork meat (Control). The sausage pH changes during storage at 4 ± 1oC were analyzed and compared with the control. Proximal, microbiological, and sensory characteristics were evaluated. Results: The pH of sausages showed that the values tended to decrease in control, while this value increased in two types of tuna. The formulated tuna sausages yielded 72% moisture, 18% protein, 4.1% lipid, 0.4% ash, 0.4 % fiber, and 4.5% carbohydrates. Sensory attributes showed excellent acceptance regarding color, smell, flavor, and texture. Overall acceptability was qualified as "liked," and the acceptability index ranged from 76% to 86%. During the refrigeration storage, the microbiological analyses indicated that the total coliform count was < 3 CFU/g. Escherichia coli, Staphylococcus aureus, and mesophilic aerobic bacteria in tuna sausage showed absence during 24 days of storage. Conclusion: Using tuna tail and head meat enabled the development of gel-type emulsified products (sausages) that exhibited good nutritional, sensory, and microbiological quality

Antecedentes: La industria atunera se erige como uno de los sectores más importantes en la producción mundial de alimentos. Sin embargo, entre sus diversos productos, la carne comercial conocida como "lomo de atún" ostenta la mayor importancia tanto en su producción como en su comercialización. Lamentablemente, fracciones de carne provenientes de la cola y la cabeza se han desperdiciado debido a su reducido valor comercial. A pesar de poseer un notable valor tecnológico, esta carne normalmente es utilizada en la alimentación animal mediante la producción de harina, perdiendo la oportunidad de desarrollar productos alimenticios alternativos con alto valor nutricional. Objetivo: Este estudio tuvo como objetivo desarrollar y evaluar salchichas producidas con carne subutilizada de atún (carne de cola y cabeza). Métodos: Las especies de atún utilizadas fueron Big-eye (Thunus obesus) and Skip-jack (Katsuwonus pelamis lineaus). Se formularon tres (3) tipos diferentes de salchichas usando 100 % de carne de atún Big-eye (BE), 100 % de Skip-jack (SJ) y 100 % de carne de res/cerdo (Control). Se analizaron los cambios de pH en las salchichas durante el almacenamiento a 4 ± 1 oC y se compararon con el Control. También se evaluaron la composición proximal, calidad microbiológica y atributos sensoriales. Resultados: El pH mostró que los valores tendieron a disminuir en relación a la muestra Control, mientras que este valor aumentó en los dos tipos de salchicha con carne de atún. Las salchichas con carne de atún mostraron un 72 % de humedad, 18 % de proteína, 4,1 % de lípidos, 0,4 % de ceniza, 0,4 % de fibra, 4,5 % de carbohidratos. Los atributos sensoriales mostraron buena aceptabilidad de los parámetros de color, olor, sabor y textura. La aceptabilidad general se calificó como "me gusta" y el índice de aceptabilidad osciló entre el 76 % y el 86 %. Durante el periodo de almacenamiento en refrigeración, los análisis microbiológicos indicaron que el recuento de coliformes totales fue < 3 UFC/g. No se evidenció la presencia de Escherichia coli, Staphylococcus aureus y bacterias aerobias mesófilas durante 24 días de almacenamiento. Conclusión: El aprovechamiento de la carne de la cola y cabeza del atún permitió desarrollar productos emulsionados tipo gel (embutidos) que exhibieron buena calidad nutricional, sensorial y microbiológica.

Moving toward elucidating alternative motor pathway structures post-stroke: the value of spinal cord neuroimaging.

Stroke results in varying levels of motor and sensory disability that have been linked to the neurodegeneration and neuroinflammation that occur in the infarct and peri-infarct regions within the brain. Specifically, previous research has identified a key role of the corticospinal tract in motor dysfunction and motor recovery post-stroke. Of note, neuroimaging studies have utilized magnetic resonance imaging (MRI) of the brain to describe the timeline of neurodegeneration of the corticospinal tract in tandem with motor function following a stroke. However, research has suggested that alternate motor pathways may also underlie disease progression and the degree of functional recovery post-stroke. Here, we assert that expanding neuroimaging techniques beyond the brain could expand our knowledge of alternate motor pathway structure post-stroke. In the present work, we will highlight findings that suggest that alternate motor pathways contribute to post-stroke motor dysfunction and recovery, such as the reticulospinal and rubrospinal tract. Then we review imaging and electrophysiological techniques that evaluate alternate motor pathways in populations of stroke and other neurodegenerative disorders. We will then outline and describe spinal cord neuroimaging techniques being used in other neurodegenerative disorders that may provide insight into alternate motor pathways post-stroke.

Corrigendum: Corrigendum: Evaluative altmetrics: is there evidence for its application to research evaluation?

[This corrects the article DOI: 10.3389/frma.2023.1295959.].

Corrigendum: Evaluative altmetrics: is there evidence for its application to research evaluation?

[This corrects the article DOI: 10.3389/frma.2023.1188131.].

Mexicans vs Central Americans: Violented Migrants Crossing Mexico.

INTRODUCTION: The World Health Organization considers that migrants who pass through the Mexico-US walkway suffer high levels of violence, compared to other regions of the world, mainly women. This study aims to identify the factors associated with the types of violence suffered by migrants in transit through Mexico to the USA. DESIGN: A cross-sectional, exploratory, retrospective, and observational study was conducted. A questionnaire of 46 variables was applied, divided into four sections: sociodemographic background, leaving the home, transit, and stay at the border. Questions about different types of direct violence were included. The survey was applied to 612 Mexican and Central American migrants who were in the Chaparral customs office and in five shelters in Tijuana City, on the U.S.-Mexico border. The results were analyzed using descriptive techniques and multivariate analysis of main and inferential components, using the statistical program R. RESULTS: The higher vulnerability of Central American migrants compared to Mexicans was documented, specially of women that proportionally were the most negatively affected victims including all types of violence, making it evident that one of each four was violented sexually and among them, only 50% asked for medical assistance. The multivariate analysis determined that the duration of the trip, and the type of transport can generate greater violence. CONCLUSIONS: The results highlight the greater vulnerability of Central American migrants in their transit through Mexico, mainly women and, likewise, the lack of effective public policies that guarantee the protection of the health, safety, and human rights of migrants.

Evaluative altmetrics: is there evidence for its application to research evaluation?

Introduction: Altmetrics have been demonstrated as a promising tool for analyzing scientific communication on social media. Nevertheless, its application for research evaluation remains underdeveloped, despite the advancement of research in the study of diverse scientific interactions. Methods: This paper develops a method for applying altmetrics in the evaluation of researchers, focusing on a case study of the Environment/Ecology ESI field publications by researchers at the University of Granada. We considered Twitter as a mirror of social attention, news outlets as media, and Wikipedia as educational, exploring mentions from these three sources and the associated actors in their respective media, contextualizing them using various metrics. Results: Our analysis evaluated different dimensions such as the type of audience, local attention, engagement generated around the mention, and the profile of the actor. Our methodology effectively provided dashboards that gave a comprehensive view of the different instances of social attention at the author level. Discussion: The use of altmetrics for research evaluation presents significant potential, as shown by our case study. While this is a novel method, our results suggest that altmetrics could provide valuable insights into the social attention that researchers garner. This can be an important tool for research evaluation, expanding our understanding beyond traditional metrics.

Patient dissatisfaction associated with physician-patient linguistic discordance in California clinics: an analytical cross-sectional study.

BACKGROUND: Patient satisfaction is considered as a product of two psychological processes, a cognitive one, including expectations and perceptions, and an emotional one resulting from the congruence between expectation and subjective perception of the user. The objective was to identify the factors associated with the level of perceived satisfaction in patients treated in 36 nonprofit health clinics that offer comprehensive health care services in four counties in the state of California, United States. METHODS: Cross-sectional analytical study in 14 clinics in four California counties. It consisted of the application of a 30-item questionnaire to determine the degree of patient satisfaction with the clinic. The factorial composition of the quality of care and clinic quality components was analyzed and two factors with an Eigen value greater than 1 were obtained. RESULTS: A total of 846 responses were registered. Factor analysis identified two underlying dimensions: Physician Attitude and Empathy. It was found that the discordance in language between the physician and the patient generates a difference in the perception of satisfaction. Patients who prefer to speak English have better satisfaction than those who speak Spanish. Spanish speakers who do not have interpreter have lower satisfaction than those who do (p < 0,01). CONCLUSIONS: The most important sociodemographic cofactor was language. Satisfaction decreased in Spanish-speaking patients who were not proficient in the use of English since they expressed fewer comments and doubts.

Cognitive dysfunction, diabetes mellitus 2 and arterial hypertension: Sequelae up to one year of COVID-19.

BACKGROUND: Covid symptoms reflect its multisystem nature, in addition to its positive relationship between the severity of the condition and the severity of the long COVID. OBJECTIVE: To identify the factors associated with the prevalence of SEQUELAE DUE TO COVID-19 one year after their hospital discharge due to severe pneumonia. METHOD: Longitudinal, analytical, prospective and comparative study. 71 covid-19 pneumonia survivors were followed. Two telephone interviews were conducted to each patient; the first at 5 months of discharge and the second at 12 months from the mentioned date. We included questions of 40 symptoms, in addition to the questioning of diabetes mellitus and/or systemic hypertension with a mentioned onset during the hospitalization or after hospital discharge due to COVID-19. RESULTS: Of the 37 patients without complications and without comorbidities prior to hospitalization, 11 (29.7%) developed arterial hypertension during or after discharge and 17 (45.9%) developed diabetes mellitus before five months. Short-term memory loss was an upward sequel in the two measurements, 24.3% and 41.9% respectively. CONCLUSIONS: Type 2 diabetes mellitus and high blood pressure detected at five months was temporary and reversed in many cases at twelve months. It will be important to deepen the study of brain damage and cognitive dysfunction, characterized by memory loss.

COVID-19 and the scientific publishing system: growth, open access and scientific fields.

We model the growth of scientific literature related to COVID-19 and forecast the expected growth from 1 June 2021. Considering the significant scientific and financial efforts made by the research community to find solutions to end the COVID-19 pandemic, an unprecedented volume of scientific outputs is being produced. This questions the capacity of scientists, politicians and citizens to maintain infrastructure, digest content and take scientifically informed decisions. A crucial aspect is to make predictions to prepare for such a large corpus of scientific literature. Here we base our predictions on the Autoregressive Integrated Moving Average (ARIMA) and exponential smoothing models using the Dimensions database. This source has the particularity of including in the metadata information on the date in which papers were indexed. We present global predictions, plus predictions in three specific settings: by type of access (Open Access), by domain-specific repository (SSRN and MedRxiv) and by several research fields. We conclude by discussing our findings. Supplementary Information: The online version contains supplementary material available at 10.1007/s11192-022-04536-x.

Critical Analysis of the Evaluation Methods of Extended Reality (XR) Experiences for Construction Safety.

The construction industry has high accident rates. The sector is exploring various tools to improve safety management, training, and awareness to achieve zero accidents. This work focuses on extended reality (XR), which encompasses virtual reality (VR), augmented reality (AR), and mixed reality (MR) technologies. Several authors have developed training experiences for construction safety in XR environments with positive conclusions about their effectiveness. However, there is no standardization regarding the evaluation methods used in the sector, and many experiences do not use any method. This lack is critical, as whenever the aim is to evaluate the degree of awareness of security issues, the implementation of evaluation systems is indispensable to make known the methods used in the literature to evaluate the effectiveness of the experiences and represent support for future research. This research identifies developments in XR experiences and analyzes the validation methods through a systematic review using the PRISMA methodology. It identifies two evaluation methods, objective and subjective, which are each broken down into four categories. The results show the types of evaluation, safety-related purposes, and safety application objectives used by the database classification.

Effect of Recombinant Human Lubricin on Model Tear Film Stability.

Purpose: To investigate and quantify the effect of recombinant human lubricin (rh-lubricin) on model tear film stability. Methods: A custom-built, interferometry-based instrument called the Interfacial Dewetting and Drainage Optical Platform was used to create and record the spatiotemporal evolution of model acellular tear films. Image segmentation and analysis was performed in MATLAB to extract the most essential features from the wet area fraction versus time curve, namely the evaporative break-up time and the final wet area fraction (A10). These two parameters indicate the tear film stability in the presence of rh-lubricin in its unstressed and stressed forms. Results: Our parameters successfully captured the trend of increasing tear film stability with increasing rh-lubricin concentration, and captured differences in rh-lubricin efficacy after various industrially relevant stresses. Specifically, aggregation and fragmentation caused by a 4-week, high temperature stress condition negatively impacted rh-lubricin's ability to maintain model tear film stability. Adsorbed rh-lubricin alone was not sufficient to resist break-up and maintain full area coverage of the model tear film surface. Conclusions: Our results demonstrate that fragmentation and aggregation can negatively impact rh-lubricin's ability to maintain a stable tear film. In addition, the ability of rh-lubricin to maintain wetted area coverage is due to both freely dispersed and adsorbed rh-lubricin. Translational Relevance: Our platform and analysis method provide a facile, intuitive, and clinically relevant means to quantify the effect of ophthalmic drugs and formulations intended for improving tear film stability, as well as capture differences between variants related to drug stability and efficacy.

A Mucin-Deficient Ocular Surface Mimetic Platform for Interrogating Drug Effects on Biolubrication, Antiadhesion Properties, and Barrier Functionality.

Dry eye disease (DED) affects more than 100 million people worldwide, causing significant patient discomfort and imposing a multi-billion-dollar burden on global health care systems. In DED patients, the natural biolubrication process that facilitates pain-free blinking goes awry due to an imbalance of lipids, aqueous medium, and mucins in the tear film, resulting in ocular surface damage. Identifying strategies to reduce adhesion and shear stresses between the ocular surface and the conjunctival cells lining the inside of the eyelid during blink cycles is a promising approach to improve the signs and symptoms of DED. However, current preclinical models for screening ocular lubricants rely on scarce, heterogeneous tissue samples or model substrates that do not capture the complex biochemical and biophysical cues present at the ocular surface. To recapitulate the hierarchical architecture and phenotype of the ocular interface for preclinical drug screening, we developed an in vitro mucin-deficient DED model platform that mimics the complexity of the ocular interface and investigated its utility in biolubrication, antiadhesion, and barrier protection studies using recombinant human lubricin, a promising investigational therapy for DED. The biomimetic platform recapitulated the pathological changes in biolubrication, adhesion, and barrier functionality often observed in mucin-deficient DED patients and demonstrated that recombinant human lubricin can reverse the damage induced by mucin loss in a dose- and conformation-dependent manner. Taken together, these results highlight the potential of the platform─and recombinant human lubricin─in advancing the standard of care for mucin-deficient DED patients.

Multi-mode excitation drives disorder during the ultrafast melting of a C4-symmetry-broken phase.

Spontaneous C4-symmetry breaking phases are ubiquitous in layered quantum materials, and often compete with other phases such as superconductivity. Preferential suppression of the symmetry broken phases by light has been used to explain non-equilibrium light induced superconductivity, metallicity, and the creation of metastable states. Key to understanding how these phases emerge is understanding how C4 symmetry is restored. A leading approach is based on time-dependent Ginzburg-Landau theory, which explains the coherence response seen in many systems. However, we show that, for the case of the single layered manganite La0.5Sr1.5MnO4, the theory fails. Instead, we find an ultrafast inhomogeneous disordering transition in which the mean-field order parameter no longer reflects the atomic-scale state of the system. Our results suggest that disorder may be common to light-induced phase transitions, and methods beyond the mean-field are necessary for understanding and manipulating photoinduced phases.

The feasibility of mitral valve device foldoplasty: an in vivo study to evaluate durable retention.

OBJECTIVES: We have previously shown in experimental settings that a leaflet foldoplasty device reduces redundant leaflet area to re-establish mitral valve (MV) coaptation. The current study investigates the in vivo device retention and functional durability following foldoplasty. METHODS: The prototype is of superelastic nitinol formed into a 3-dimensional shape. It is unfolded to engage a specified area of leaflet tissue and then folded to exclude this tissue from the coaptation surface. Design modifications were made and tested in benchtop studies to determine the optimal design for durable retention within the leaflet. To evaluate in vivo performance, posterior leaflet chordae were severed in Yorkshire pigs to produce complete posterior leaflet prolapse and severe mitral regurgitation. Design modifications were then used for MV repair. Five animals that underwent repair using the optimal design were observed for 2 weeks postoperative to evaluate the functional result and implant retention. RESULTS: Device position and orientation were maintained at 2 weeks while preserving the functional MV repair in all 5 animals. Coaptation height was 5.5 ± 1.5 mm, which was not significantly different from a baseline of 4.9 ± 0.8 mm. The degree of leaflet excursion was 41.0 ± 16.0 compared to a baseline of 58.7 ± 27.5. CONCLUSIONS: Device foldoplasty is a new concept for MV repair based on the reduction of redundant leaflet tissue area. This study demonstrates the feasibility of safe maintenance of this repair without early dislodgement or embolization.

Importance of Preserved Tricuspid Valve Function for Effective Soft Robotic Augmentation of the Right Ventricle in Cases of Elevated Pulmonary Artery Pressure.

PURPOSE: In clinical practice, many patients with right heart failure (RHF) have elevated pulmonary artery pressures and increased afterload on the right ventricle (RV). In this study, we evaluated the feasibility of RV augmentation using a soft robotic right ventricular assist device (SRVAD), in cases of increased RV afterload. METHODS: In nine Yorkshire swine of 65-80 kg, a pulmonary artery band was placed to cause RHF and maintained in place to simulate an ongoing elevated afterload on the RV. The SRVAD was actuated in synchrony with the ventricle to augment native RV output for up to one hour. Hemodynamic parameters during SRVAD actuation were compared to baseline and RHF levels. RESULTS: Median RV cardiac index (CI) was 1.43 (IQR, 1.37-1.80) L/min/m2 and 1.26 (IQR 1.05-1.57) L/min/m2 at first and second baseline. Upon PA banding RV CI fell to a median of 0.79 (IQR 0.63-1.04) L/min/m2. Device actuation improved RV CI to a median of 0.87 (IQR 0.78-1.01), 0.85 (IQR 0.64-1.59) and 1.11 (IQR 0.67-1.48) L/min/m2 at 5 min (p = 0.114), 30 min (p = 0.013) and 60 (p = 0.033) minutes respectively. Statistical GEE analysis showed that lower grade of tricuspid regurgitation at time of RHF (p = 0.046), a lower diastolic pressure at RHF (p = 0.019) and lower mean arterial pressure at RHF (p = 0.024) were significantly associated with higher SRVAD effectiveness. CONCLUSIONS: Short-term augmentation of RV function using SRVAD is feasible even in cases of elevated RV afterload. Moderate or severe tricuspid regurgitation were associated with reduced device effectiveness.

Identifying and characterizing social media communities: a socio-semantic network approach to altmetrics.

Altmetric indicators allow exploring and profiling individuals who discuss and share scientific literature in social media. But it is still a challenge to identify and characterize communities based on the research topics in which they are interested as social and geographic proximity also influence interactions. This paper proposes a new method which profiles social media users based on their interest on research topics using altmetric data. Social media users are clustered based on the topics related to the research publications they share in social media. This allows removing linkages which respond to social or personal proximity and identifying disconnected users who may have similar research interests. We test this method for users tweeting publications from the fields of Information Science & Library Science, and Microbiology. We conclude by discussing the potential application of this method and how it can assist information professionals, policy managers and academics to understand and identify the main actors discussing research literature in social media.

Robotic-Based Well-Being Monitoring and Coaching System for the Elderly in Their Daily Activities.

The increasingly ageing population and the tendency to live alone have led science and engineering researchers to search for health care solutions. In the COVID 19 pandemic, the elderly have been seriously affected in addition to suffering from isolation and its associated and psychological consequences. This paper provides an overview of the RobWell (Robotic-based Well-Being Monitoring and Coaching System for the Elderly in their Daily Activities) system. It is a system focused on the field of artificial intelligence for mood prediction and coaching. This paper presents a general overview of the initially proposed system as well as the preliminary results related to the home automation subsystem, autonomous robot navigation and mood estimation through machine learning prior to the final system integration, which will be discussed in future works. The main goal is to improve their mental well-being during their daily household activities. The system is composed of ambient intelligence with intelligent sensors, actuators and a robotic platform that interacts with the user. A test smart home system was set up in which the sensors, actuators and robotic platform were integrated and tested. For artificial intelligence applied to mood prediction, we used machine learning to classify several physiological signals into different moods. In robotics, it was concluded that the ROS autonomous navigation stack and its autodocking algorithm were not reliable enough for this task, while the robot's autonomy was sufficient. Semantic navigation, artificial intelligence and computer vision alternatives are being sought.

Quantitative hyperspectral coherent diffractive imaging spectroscopy of a solid-state phase transition in vanadium dioxide.

Solid-state systems can host a variety of thermodynamic phases that can be controlled with magnetic fields, strain, or laser excitation. Many phases that are believed to exhibit exotic properties only exist on the nanoscale, coexisting with other phases that make them challenging to study, as measurements require both nanometer spatial resolution and spectroscopic information, which are not easily accessible with traditional x-ray spectromicroscopy techniques. Here, we use coherent diffractive imaging spectroscopy (CDIS) to acquire quantitative hyperspectral images of the prototypical quantum material vanadium oxide across the vanadium L 2,3 and oxygen K x-ray absorption edges with nanometer-scale resolution. We extract the full complex refractive indices of the monoclinic insulating and rutile conducting phases of VO2 from a single sample and find no evidence for correlation-driven phase transitions. CDIS will enable quantitative full-field x-ray spectromicroscopy for studying phase separation in time-resolved experiments and other extreme sample environments where other methods cannot operate.

Bibliometric Reports for Institutions: Best Practices in a Responsible Metrics Scenario.

Carrying out bibliometric reports is one of the common tasks performed by librarians and practitioners within the framework of their professional duties. The emergence of novel data sources, the need to measure new research activities and the growing demand for fairer and more equitable evaluation within the framework of the Responsible Metrics movement has led to calls for a review of the traditional approaches to these types of reports. The main goal of this study is to outline a series of recommendations for bibliometricians, consultants and research support librarians when drafting bibliometric reports in their institutions. These best practices can significantly enhance the quality and utility of bibliometric reports, posing their practitioners as key players in the science management process.