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Abstract Background Malnutrition frequently affects older adults, increasing their risk for numerous diseases, as well as healthcare costs. Therefore, nutritional assessment and appropriate nutritional support addressed to meet individual nutritional needs and prevent malnutrition and its consequences should be a fundamental part of healthcare for older adults. This study aimed to compare the knowledge of nutrition guidelines for older adults between healthcare and non-healthcare professionals working with older adults. Methods The study was conducted during May and June 2021 using a validated “Knowledge of nutrition guidelines for older adults” questionnaire designed by Andrija Stampar Teaching Institute of Public Health, Croatia. The study participants were recruited from various institutions providing care for older adults in Split-Dalmatia and Dubrovnik-Neretva County. The final convenience sample consisted of 214 participants (163 healthcare professionals and 51 non-healthcare professionals). The obtained results were analyzed using descriptive and inferential statistics. The associations between participants’ characteristics and knowledge about the importance of nutrition in disease prevention and treatment, the assessment of nutritional status in older adults, and clinical nutrition were analyzed using multiple linear regression models. Results Participants’ overall knowledge of nutrition guidelines for older adults was moderate in both groups, with healthcare professionals scoring a median of 7.0 (IQR = 1.0) and non-healthcare professionals scoring a median of 6.0 (IQR = 2.0). Compared to non-healthcare professionals, healthcare professionals had lower knowledge about the importance of nutrition in disease prevention and treatment (β = − 0.16; p = 0.024). No statistically significant differences were found between healthcare and non-healthcare professionals in the level of knowledge about the assessment of nutritional status in older adults (β = − 0.02; p = 0.769) and clinical nutrition (β = 0.08; p = 0.267). Conclusions This study highlights gaps in knowledge regarding dietary guidelines for older adults among healthcare and non-healthcare professionals working with this specific population group. These findings suggest that targeted educational programs might be needed to improve understanding of geriatric nutrition.

Edible insects (EIs) have recently gained attention as an alternative and more sustainable food, emerging as an alternative to other protein foods with higher environmental impacts, like bovine meat. EIs contain a valuable composition of macro and micronutrients, important for human nutrition. Nevertheless, their consumption is not yet widespread in Western countries, such as in Europe. This work aimed to study how consumers in three different European locations perceive the role of EIs in human nutrition. Data collection was carried out by a questionnaire survey in three countries (Croatia, Lithuania, and Portugal), and 1723 participants were included in the study. For the treatment of the data, SPSS software was used, and chi-square tests and tree classification analysis were performed. The results showed that for all the statements presented to the participants, significant differences were found in information about EIs according to country. The results further highlighted that the participants were better informed about the high protein content of EIs, while not being well informed about their possible anti-nutritive effects. Tree classification revealed that the most important discriminating variable was country, with Lithuanian participants being better informed than those from Portugal or Croatia.

The paper explores J. G. Ballard’s visionary 1962 novel The Drowned World as an example of a nonhuman utopia. Although written well before the conceptualization of the notion of the nonhuman turn, the novel embodies the philosophical ideas of such a turn as it challenges anthropocentric hierarchy and represents humans as disempowered and reactive, rather than proactive beings. The Drowned World imagines a world regressing into a prehistoric, pre-human state due to the Sun’s extreme activity and radical warming in a process of entropy, as all human scientific and architectural achievements collapse in the face of the merciless sun and the advancing ocean. The urban space is turned into lagoons that resemble heterotopias, a space that accommodates the transitional phase in the process of imminent human extinction, which, paradoxically, is met with relief and embraced as utopian by the novel’s protagonist.

Background: This is a novel rat study using native peptide therapy, focused on reversing quadriceps muscle-to-bone detachment to reattachment and stable gastric pentadecapeptide BPC 157 per-oral therapy for shared muscle healing and function restoration. Methods: Pharmacotherapy recovering various muscle, tendon, ligament, and bone lesions, and severed junctions (i.e., myotendinous junction), per-oral in particular (BPC 157/kg/day 10 µg, 10 ng), provides muscle-to-bone reattachment after quadriceps muscle detachment, both complete (rectus muscle) and partial (vastus muscles). Results: Immediately post-injury, and at 1, 2, 3, 5, 7, 14, 21, 28, 60, and 90 days post-injury, quadriceps muscle-to-bone detachment showed definitive healing failure (impaired walking and permanent knee flexure). Contrarily, macro/microscopic, ultrasonic, magnetic resonance, biomechanical, and functional assessments revealed that BPC 157 therapy recovering effects for all time points were consistent. All parameters of the walking pattern fully improved, and soon after detachment and therapy application, muscle approached the bone, leaving a minimal gap (on ultrasonic assessment), and leg contracture was annihilated. The healing process occurs immediately after detachment from both sides: the muscle and the bone. The reattachment fibers from the ends of the muscle could be traced into the new bone formed at the surface (note, at day 3 post-detachment, increased mesenchymal cells occurred with periosteum reactivation). Consequently, at 3 months, the form was stable, and the balance between the muscle and bone was the following: well-organized bone, newly formed as more cortical bone providing a narrower bone marrow space, and the muscle and mature fibers were oriented parallel to the bone axis and were in close contact with bone. Conclusions: Therefore, to achieve quadriceps muscle-to-bone reattachment, the BPC 157 therapy reversing course acts from the beginning, resolving an otherwise insurmountable deleterious course.

IntroductionUrothelial bladder cancer is frequent and exhibits diverse prognoses influenced by molecular subtypes, urothelial subtype histology, and immune microenvironments. HLA-G, known for immune regulation, displays significant membranous expression in tumor tissues.MethodsWe studied the protein expression of Human Leucocyte Antigen G (HLA-G) in 241 Muscle-Invasive Bladder Cancer (MIBC) patients, elucidating its potential clinical and biological significance. Protein expression levels were evaluated and correlated with molecular subtypes, histological characteristics, immune microenvironment markers, and survival outcomes.ResultsHigh HLA-G expression associates with poor overall survival (OS) and diseasespecific survival (DSS), independent of clinicopathological parameters. HLA-G expression varies among molecular subtypes and Urothelial Subtype Histology, e.g., elevated expression levels in basal/squamous MIBC and those with sarcomatoid differentiation. Notably, HLA-G is increased in MIBC with an immune evasive microenvironment (high PD-L1 tumor cell expression, NK cell depletion, granzyme B (GZMB)/CD8 ratio reduction, MHC class I (MHCI) expression reduction) that are characterized by immunosuppressive features and poor prognosis. Furthermore, HLA-G correlates with elevated levels of other immune checkpoint proteins (TIGIT, LAG3, CTLA-4), indicating its role in immune evasion.DiscussionOur findings underscore HLA-G’s role as a potential prognostic marker and interesting immunotherapeutic target in MIBC. Its impact on immune evasion mechanisms and broad expression, coupled with associations withpoor survival and distinct tumor phenotypes, positions HLA-G as a promising protein for further exploration in developing targeted immunotherapies for MIBC patients.

The oligotrophic Adriatic Sea is characterized during a typical summer by low productivity caused by strong water column stratification, which inhibits vertical mixing and nutrient supply to the euphotic zone. These conditions can be disrupted by transient physical forcing, which enhances nutrient fluxes and creates localized hotspots of relatively high net primary production. In this study, plankton abundance and diversity were investigated in relation to the physical forcing and nutrient concentrations in an area affected by island-trapped waves (ITWs) near Lastovo Island (Adriatic Sea). The episodic ITW events resulted in enhanced uplift and vertical excursion of the thermocline, marked by anomalously higher nutrient concentrations and a corresponding increase in net primary production in the thermocline layer. Physicochemical properties explained 11.7 % (p = 0.002) of the variability in micro- and nanophytoplankton and 88.9 % (p = 0.001) in the picoplankton community. A significant response to the ITW phenomenon in the plankton community composition (p = 0.001) was observed for bacterioplankton. Among the identified amplicon sequence variances, primary producers were scarce and mainly represented cyanobacteria (Synechococcus strain CC9902), stramenopiles (Pelagomonas), and chlorophytes (Ostreococcus). The remaining amplicon sequence variances were assigned to the classes Copepoda, parasitic fungi (Meyerozyma spp.), mixotrophic dinoflagellates (family Peridiniales, mostly the genus Blastodinium), and parasitic Ciliophora (Scuticociliata). Bacterial ecological functions corresponded to chemoheterotrophic, degradation, and fermentation processes, whereas samples collected after the most intense ITW episode also showed abundant bacteria linked to microplastic degradation and parasitosis. These results highlight the ecological role of localized physical phenomena in enhancing nearshore primary productivity and fine shifts in plankton taxa in oligotrophic systems.

Although edible insects (EIs) are encouraged as a sustainable source of protein, their consumption is not as generalised as other types of food that are internationally accepted. While in some regions of the world, EIs are part of the gastronomic and cultural traditions, in other regions, people are not so receptive to this type of food, and some people even express some disgust towards it. Hence, this research focused on the habits of the participants regarding the consumption of insects as well as their perceptions about EIs being or not a part of the local culture or gastronomic patrimony. A questionnaire survey was implemented in fourteen countries (Brazil, Croatia, Greece, Latvia, Lebanon, Lithuania, Mexico, Poland, Portugal, Romania, Serbia, Slovenia, Spain, and Turkey), and globally, 7222 adult participants responded to the questionnaire. SPSS software (version 28) was used to process the data and carry out chi-square tests and Factor Analyses (FA). The obtained results showed significant differences between countries for all the questions included in the survey, either those regarding the habits of the participants or their opinions about the facts linked with EI tradition or cultural aspects. It was found that participants from Mexico consume EIs more than in all other countries and that strong motivations that would lead to consumption among those who do not consume include curiosity and food shortage. The solution obtained with FA considering the ten statements of the scale consisted of two factors: F1—Culture and Tradition of EIs (α = 0.675) and F2—Acceptance of EIs (α = 0.614). In conclusion, the consumption of EIs and the perceptions of people are highly variable according to geographic location and cultural environment.

Abstract Upper tract urothelial carcinoma (UTUC) is a rare and aggressive, yet understudied, urothelial carcinoma (UC). The more frequent UC of the bladder comprises several molecular subtypes, associated with different targeted therapies and overlapping with protein‐based subtypes. However, if and how these findings extend to UTUC remains unclear. Artificial intelligence‐based approaches could help elucidate UTUC's biology and extend access to targeted treatments to a wider patient audience. Here, UTUC protein‐based subtypes were identified, and a deep‐learning (DL) workflow was developed to predict them directly from routine histopathological H&E slides. Protein‐based subtypes in a retrospective cohort of 163 invasive tumors were assigned by hierarchical clustering of the immunohistochemical expression of three luminal (FOXA1, GATA3, and CK20) and three basal (CD44, CK5, and CK14) markers. Cluster analysis identified distinctive luminal (N = 80) and basal (N = 42) subtypes. The luminal subtype mostly included pushing, papillary tumors, whereas the basal subtype diffusely infiltrating, non‐papillary tumors. DL model building relied on a transfer‐learning approach by fine‐tuning a pre‐trained ResNet50. Classification performance was measured via three‐fold repeated cross‐validation. A mean area under the receiver operating characteristic curve of 0.83 (95% CI: 0.67–0.99), 0.8 (95% CI: 0.62–0.99), and 0.81 (95% CI: 0.65–0.96) was reached in the three repetitions. High‐confidence DL‐based predicted subtypes showed significant associations (p

Background: This is a novel rat study using native peptide therapy, focused on reversing quadriceps muscle-to-bone detachment to reattachment and stable gastric pentadecapeptide BPC 157 per-oral therapy for shared muscle healing and function restoration. Methods: Pharmacotherapy recovering various muscle, tendon, ligament, and bone lesions, and severed junctions (i.e., myotendinous junction), per-oral in particular (BPC 157/kg/day 10 µg, 10 ng), provides muscle-to-bone reattachment after quadriceps muscle detachment, both complete (rectus muscle) and partial (vastus muscles). Results: Immediately post-injury, and at 1, 2, 3, 5, 7, 14, 21, 28, 60, and 90 days post-injury, quadriceps muscle-to-bone detachment showed definitive healing failure (impaired walking and permanent knee flexure). Contrarily, macro/microscopic, ultrasonic, magnetic resonance, biomechanical, and functional assessments revealed that BPC 157 therapy recovering effects for all time points were consistent. All parameters of the walking pattern fully improved, and soon after detachment and therapy application, muscle approached the bone, leaving a minimal gap (on ultrasonic assessment), and leg contracture was annihilated. The healing process occurs immediately after detachment from both sides: the muscle and the bone. The reattachment fibers from the ends of the muscle could be traced into the new bone formed at the surface (note, at day 3 post-detachment, increased mesenchymal cells occurred with periosteum reactivation). Consequently, at 3 months, the form was stable, and the balance between the muscle and bone was the following: well-organized bone, newly formed as more cortical bone providing a narrower bone marrow space, and the muscle and mature fibers were oriented parallel to the bone axis and were in close contact with bone. Conclusions: Therefore, to achieve quadriceps muscle-to-bone reattachment, the BPC 157 therapy reversing course acts from the beginning, resolving an otherwise insurmountable deleterious course. [ABSTRACT FROM AUTHOR]

We highlight the particular aspects of the stable gastric pentadecapeptide BPC 157 pleiotropic beneficial activity (not destroyed in human gastric juice, native and stable in human gastric juice, as a cytoprotection mediator holds a response specifically related to preventing or recovering damage as such) and its possible relations with neurotransmitter activity. We attempt to resolve the shortage of the pleiotropic beneficial effects of BPC 157, given the general standard neurotransmitter criteria, in classic terms. We substitute the lack of direct conclusive evidence (i.e., production within the neuron or present in it as a precursor molecule, released eliciting a response on the receptor on the target cells on neurons and being removed from the site of action once its signaling role is complete). This can be a network of interconnected evidence, previously envisaged in the implementation of the cytoprotection effects, consistent beneficial particular evidence that BPC 157 therapy counteracts dopamine, serotonin, glutamate, GABA, adrenalin/noradrenalin, acetylcholine, and NO-system disturbances. This specifically includes counteraction of those disturbances related to their receptors, both blockade and over-activity, destruction, depletion, tolerance, sensitization, and channel disturbances counteraction. Likewise, BPC 157 activates particular receptors (i.e., VGEF and growth hormone). Furthermore, close BPC 157/NO-system relations with the gasotransmitters crossing the cell membrane and acting directly on molecules inside the cell may envisage particular interactions with receptors on the plasma membrane of their target cells. Finally, there is nerve-muscle relation in various muscle disturbance counteractions, and nerve-nerve relation in various encephalopathies counteraction, which is also exemplified specifically by the BPC 157 therapy application.

Background: Malnutrition frequently affects older adults, increasing their risk for numerous diseases, as well as healthcare costs. Therefore, nutritional assessment and appropriate nutritional support addressed to meet individual nutritional needs and prevent malnutrition and its consequences should be a fundamental part of healthcare for older adults. This study aimed to compare the knowledge of nutrition guidelines for older adults between healthcare and non-healthcare professionals working with older adults. Methods: The study was conducted during May and June 2021 using a validated "Knowledge of nutrition guidelines for older adults" questionnaire designed by Andrija Stampar Teaching Institute of Public Health, Croatia. The study participants were recruited from various institutions providing care for older adults in Split-Dalmatia and Dubrovnik-Neretva County. The final convenience sample consisted of 214 participants (163 healthcare professionals and 51 non-healthcare professionals). The obtained results were analyzed using descriptive and inferential statistics. The associations between participants' characteristics and knowledge about the importance of nutrition in disease prevention and treatment, the assessment of nutritional status in older adults, and clinical nutrition were analyzed using multiple linear regression models. Results: Participants' overall knowledge of nutrition guidelines for older adults was moderate in both groups, with healthcare professionals scoring a median of 7.0 (IQR = 1.0) and non-healthcare professionals scoring a median of 6.0 (IQR = 2.0). Compared to non-healthcare professionals, healthcare professionals had lower knowledge about the importance of nutrition in disease prevention and treatment (β = − 0.16; p = 0.024). No statistically significant differences were found between healthcare and non-healthcare professionals in the level of knowledge about the assessment of nutritional status in older adults (β = − 0.02; p = 0.769) and clinical nutrition (β = 0.08; p = 0.267). Conclusions: This study highlights gaps in knowledge regarding dietary guidelines for older adults among healthcare and non-healthcare professionals working with this specific population group. These findings suggest that targeted educational programs might be needed to improve understanding of geriatric nutrition. [ABSTRACT FROM AUTHOR]

Food behaviour is governed by different kinds of motivations, some of individual nature and others related with the external food environment. This study investigated the eating motivations in sixteen countries with respect to commercial and marketing influences on food choices. The questionnaire survey was developed between September 2017 and June 2018, via online tools, targeting a convenience sample of residents in sixteen countries (Argentina, Brazil, Croatia, Egypt, Greece, Hungary, Italy, Latvia, Lithuania, Netherlands, Poland, Portugal, Romania, Serbia, Slovenia and the United States of America). The number of valid responses received was 11,919 participants. The data were treated using SPSS software, and the main statistical techniques used included exploratory factor analysis, evaluation of internal reliability through Cronbach’s alpha, cluster analysis (hierarchical and k-means) and logistic regression. The results obtained showed two groups of people: low motivated and notably motivated consumers. The results showed high asymmetries between countries, with highest percentage of highly motivated consumers in Egypt and the lowest percentage of highly motivated in Portugal. It was further observed that consumers more influenced by commercial and marketing aspects (the notably motivated) tend to be women, young, single, less educated, less likely to be professionally active, and those who live mostly in rural or suburban areas. Less exercise and overweight are also factors associated with greater propensity for commercial and marketing motivations. Furthermore, health problems such as shellfish or gluten intolerance, hypertension and high cholesterol confer less propensity to be in the segment of the notably motivated consumers. In conclusion, this work highlighted the role of geographic, sociodemographic and lifestyle factors as food choice determinants.

Explainable AI is deemed essential for clinical applications as it allows rationalizing model predictions, helping to build trust between clinicians and automated decision support tools. We developed an inherently explainable AI model for the classification of acute myeloid leukemia subtypes from blood smears and found that high-attention cells identified by the model coincide with those labeled as diagnostically relevant by human experts. Based on over 80,000 single white blood cell images from digitized blood smears of 129 patients diagnosed with one of four WHO-defined genetic AML subtypes and 60 healthy controls, we trained SCEMILA, a single-cell based explainable multiple instance learning algorithm. SCEMILA could perfectly discriminate between AML patients and healthy controls and detected the APL subtype with an F1 score of 0.86±0.05 (mean±s.d., 5-fold cross-validation). Analyzing a novel multi-attention module, we confirmed that our algorithm focused with high concordance on the same AML-specific cells as human experts do. Applied to classify single cells, it is able to highlight subtype specific cells and deconvolve the composition of a patient's blood smear without the need of single-cell annotation of the training data. Our large AML genetic subtype dataset is publicly available, and an interactive online tool facilitates the exploration of data and predictions. SCEMILA enables a comparison of algorithmic and expert decision criteria and can present a detailed analysis of individual patient data, paving the way to deploy AI in the routine diagnostics for identifying hematopoietic neoplasms.

Purpose – This study explored Croatian nursing students' knowledge and attitudes regarding brominated flame retardants (BFRs) as indicators of their predisposition to educate future patients. The purpose of the study was to identify knowledge gaps and barriers and to propose possible remedies. Design/methodology/approach – The cross-sectional survey was conducted on a convenience sample of 114 nursing students at undergraduate and graduate levels from three Croatian universities during the winter semester in the academic year 2018–2019. Descriptive and inferential statistical analyses were performed using STATISTICA 13 software. Findings – Slightly over half of the students (58.49%) were knowledgeable of BFR health effects and 45.28% showed knowledge about its presence in the environment. Only 33.02% of students identified prenatal exposure effects and 24.53% answered correctly about legislative actions. Participants expressed modest interest in the topic (M = 3.15, SD = 1.35). Although informing the public on the health consequences of BFRs was important to them (M = 4.18, SD = 1.03), they did not perceive health-care providers as primarily responsible for communicating that information. Originality/value – There is a need to enhance related content in the curriculum to improve students' knowledge. Raising students' awareness regarding the role of nurses in clinical and policy arenas is proposed to facilitate active participation in improving environmental health.

The paper offers an imagological analysis of Thomas’s debut novel The Hate U Give (2017) with the aim of showing that the cultural image of the Black race is a firmly rooted construct in the United States. The analysis is based on the ideas proposed by Benedict Anderson in his Imagined Communities: Reflections on the Origin and Spread of Nationalism (2006) and suggests that despite the well-established theoretical ideas of American-ness and the greatness of the American nation, there is no single nation to speak of in the US society. Anderson suggests that the society has preconceived beliefs on members of certain (racial, ethnic) groups, which the novel clearly depicts through the novel’s protagonist, Starr Carter, who engages in code switching in order to get a better education and, thus, a chance for success outside of the black ghetto. The pre-established notions and stereotypes, often promoted via populist discourse of the dominant group, prevent unification of people into a nation and at the same time give rise to nationalism, racism, and hatred.

Background Phytoplankton is the base of majority of ocean ecosystems. It is responsible for half of the global primary production, and different phytoplankton taxa have a unique role in global biogeochemical cycles. In addition, phytoplankton abundance and diversity are highly susceptible to climate induced changes, hence monitoring of phytoplankton and its diversity is important and necessary. Methods Water samples for phytoplankton and photosynthetic pigment analyses were collected in boreal winter 2017, along transect in the North Pacific Subtropical Gyre (NPSG) and the California Current System (CCS). Phytoplankton community was analyzed using light and scanning electron microscopy and photosynthetic pigments by high-performance liquid chromatography. To describe distinct ecosystems, monthly average satellite data of MODIS Aqua Sea Surface temperature and Chlorophyll a concentration, as well as Apparent Visible Wavelength were used. Results A total of 207 taxa have been determined, mostly comprised of coccolithophores (35.5%), diatoms (25.2%) and dinoflagellates (19.5%) while cryptophytes, phytoflagellates and silicoflagellates were included in the group “others” (19.8%). Phytoplankton spatial distribution was distinct, indicating variable planktonic dispersal rates and specific adaptation to ecosystems. Dinoflagellates, and nano-scale coccolithophores dominated NPSG, while micro-scale diatoms, and cryptophytes prevailed in CCS. A clear split between CCS and NPSG is evident in dendogram visualising LINKTREE constrained binary divisive clustering analysis done on phytoplankton counts and pigment concentrations. Of all pigments determined, alloxanthin, zeaxanthin, divinyl chlorophyll b and lutein have highest correlation to phytoplankton counts. Conclusion Combining chemotaxonomy and microscopy is an optimal method to determine phytoplankton diversity on a large-scale transect. Distinct communities between the two contrasting ecosystems of North Pacific reveal phytoplankton groups specific adaptations to trophic state, and support the hypothesis of shift from micro- to nano-scale taxa due to sea surface temperatures rising, favoring stratification and oligotrophic conditions.

Motivation for food choices is one of the most important determinant of eating behavior, because it comes from within the person. The aim of this study was to observe food choice motivations and estimate differences in demographic and health characteristics towards food choice motives in the adult population (n = 675; 54% women, ≥18 years) from urban setting. Food choice motivations were assessed using an online questionnaire validated by the EATMOT project. Using K-Means cluster analysis, participants were divided into two clusters of six motivational categories for food choices. Regarding the most and least important motivations, participants in cluster 1 chose food based on emotional motivations, and in cluster 2, they chose based on environmental and political motivations. In addition, younger and obese individuals had more pronounced emotional motivations. In conclusion, this study emphasizes the need to address emotional motivations for healthier food choices among overweight and young people. In addition, the prevalence of health motivations and growing awareness of sustainability indicate a willingness to take actions that benefit personal health and the environment. Apart from providing education, it is society’s responsibility to create an environment that promotes the implementation of acquired knowledge and changes in dietary habits.

Serum protein electrophoresis (SPE) in combination with immunotyping (IMT) is the diagnostic standard for detecting monoclonal proteins (M-proteins). However, interpretation of SPE and IMT is weakly standardized, time consuming and investigator dependent. Here, we present five machine learning (ML) approaches for automated detection of M-proteins on SPE on an unprecedented large and well-curated data set and compare the performance with that of laboratory experts. SPE and IMT were performed in serum samples from 69,722 individuals from Norway. IMT results were used to label the samples as M-protein present (positive, n=4,273) or absent (negative n=65,449). Four feature-based ML algorithms and one convolutional neural network (CNN) were trained on 68,722 randomly selected SPE patterns to detect M-proteins. Algorithm performance was compared to that of an expert group of clinical pathologists and laboratory technicians (n=10) on a test set of 1,000 samples. The random forest classifier showed the best performance (F1-Score 93.2 %, accuracy 99.1 %, sensitivity 89.9 %, specificity 99.8 %, positive predictive value 96.9 %, negative predictive value 99.3 %) and outperformed the experts (F1-Score 61.2 ± 16.0 %, accuracy 89.2 ± 10.2 %, sensitivity 94.3 ± 2.8 %, specificity 88.9 ± 10.9 %, positive predictive value 47.3 ± 16.2 %, negative predictive value 99.5 ± 0.2 %) on the test set. Interestingly the performance of the RFC saturated, the CNN performance increased steadily within our training set (n=68,722). Feature-based ML systems are capable of automated detection of M-proteins on SPE beyond expert-level and show potential for use in the clinical laboratory. [ABSTRACT FROM AUTHOR]

Although edible insects (EIs) are encouraged as a sustainable source of protein, their consumption is not as generalised as other types of food that are internationally accepted. While in some regions of the world, EIs are part of the gastronomic and cultural traditions, in other regions, people are not so receptive to this type of food, and some people even express some disgust towards it. Hence, this research focused on the habits of the participants regarding the consumption of insects as well as their perceptions about EIs being or not a part of the local culture or gastronomic patrimony. A questionnaire survey was implemented in fourteen countries (Brazil, Croatia, Greece, Latvia, Lebanon, Lithuania, Mexico, Poland, Portugal, Romania, Serbia, Slovenia, Spain, and Turkey), and globally, 7222 adult participants responded to the questionnaire. SPSS software (version 28) was used to process the data and carry out chi-square tests and Factor Analyses (FA). The obtained results showed significant differences between countries for all the questions included in the survey, either those regarding the habits of the participants or their opinions about the facts linked with EI tradition or cultural aspects. It was found that participants from Mexico consume EIs more than in all other countries and that strong motivations that would lead to consumption among those who do not consume include curiosity and food shortage. The solution obtained with FA considering the ten statements of the scale consisted of two factors: F1—Culture and Tradition of EIs (α = 0.675) and F2—Acceptance of EIs (α = 0.614). In conclusion, the consumption of EIs and the perceptions of people are highly variable according to geographic location and cultural environment. [ABSTRACT FROM AUTHOR]

The article in Frontiers in Immunology, published on October 14, 2024, examines the relationship between HLA-G expression and immune evasion in muscle-invasive urothelial cancer, as well as its prognostic significance. The study, which involved 241 patients with muscle-invasive bladder cancer, found that high levels of HLA-G were associated with poorer overall and disease-specific survival, regardless of clinicopathological factors. The research also identified differences in HLA-G expression across molecular subtypes and urothelial subtype histology, particularly in tumors with an immune evasive microenvironment. Furthermore, HLA-G was observed to be co-expressed with other immune checkpoint proteins, suggesting its involvement in immune evasion mechanisms and potential utility as a prognostic marker and immunotherapeutic target in muscle-invasive bladder cancer. [Extracted from the article]

Abstract Convolutional neural networks (CNNs) excel as powerful tools for biomedical image classification. It is commonly assumed that training CNNs requires large amounts of annotated data. This is a bottleneck in many medical applications where annotation relies on expert knowledge. Here, we analyze the binary classification performance of a CNN on two independent cytomorphology datasets as a function of training set size. Specifically, we train a sequential model to discriminate non-malignant leukocytes from blast cells, whose appearance in the peripheral blood is a hallmark of leukemia. We systematically vary training set size, finding that tens of training images suffice for a binary classification with an ROC-AUC over 90%. Saliency maps and layer-wise relevance propagation visualizations suggest that the network learns to increasingly focus on nuclear structures of leukocytes as the number of training images is increased. A low dimensional tSNE representation reveals that while the two classes are separated already for a few training images, the distinction between the classes becomes clearer when more training images are used. To evaluate the performance in a multi-class problem, we annotated single-cell images from a acute lymphoblastic leukemia dataset into six different hematopoietic classes. Multi-class prediction suggests that also here few single-cell images suffice if differences between morphological classes are large enough. The incorporation of deep learning algorithms into clinical practice has the potential to reduce variability and cost, democratize usage of expertise, and allow for early detection of disease onset and relapse. Our approach evaluates the performance of a deep learning based cytology classifier with respect to size and complexity of the training data and the classification task.