Distinct Characteristics Research Articles

Comparative genomics provides insights into adaptive evolution and demographics of bats.

Bats possess a range of distinctive characteristics, including flight, echolocation, impressive longevity, and the ability to harbor various zoonotic pathogens. Additionally, they account for the second-highest species diversity among mammalian orders, yet their phylogenetic relationships and demographic history remain underexplored. Here, we generated de novo assembled genomes for 17 bat species and two of their mammalian relatives (the Amur hedgehog and Chinese mole shrew), with 12 genomes reaching chromosome-level assembly. Comparative genomics and ChIP-seq assays identified newly gained genomic regions in bats potentially linked to the regulation of gene activity and expression. Notably, some antiviral infection related gene under positive selection exhibited the activity of suppressing cancer, evidencing the linkage between virus tolerance and cancer resistance in bats. By integrating published bat genome assemblies, phylogenetic reconstruction established the proximity of noctilionoid bats to vesper bats. Interestingly, we found two distinct patterns of ancient population dynamics in bats and population changes since the last-glacial maximum do not reflect species phylogenetic relationships. These findings enriched our understanding of adaptive mechanisms and demographic history of bats.

Lactic Acid Production from Distiller’s Dried Grains Dilute Acid Hydrolysates

Lactic acid (LA) is an important chemical with diverse applications in various industries. LA can be produced by the fermentation of different substrates by many microorganisms such as bacteria, fungi, yeasts, and algae. Lactic acid bacteria (LAB) are generally accepted as the main producers of LA. A distinct characteristic of LAB is the complexity of the fermentation media. Distiller’s dried grains with solubles (DDGS), a by-product from bioethanol production, represent a promising substitute for costly sugars in the nutrition media for LA production. In the present paper, the possibility of using dilute acid DDGS hydrolysates as a substrate for LA fermentation was investigated. The influence of different factors (acid concentration, time, pressure, solid-to-liquid ratio) on the reducing sugars (RS) obtained was studied. Additional enzyme hydrolysis was carried out to increase RS content in the hydrolysates. LA production from hydrolysates without and with control of the pH during fermentation was monitored and compared with lactose as a substrate. Inhibition of the process was observed in both substrates in the absence of pH control which was overcome in the case of pH control. A mathematical model based on the Verhulst and Ludeking–Piret equations was proposed and tested, showing very good agreement with experimental data.

PATH-37. A NEW SUBTYPE OF DIFFUSE MIDLINE GLIOMA, H3 K27 AND BRAF/FGFR1 CO-ALTERED, EXHIBITS SPECIFIC BIOLOGICAL CHARACTERISTICS AND NEW THERAPEUTIC VULNERABILITIES

Abstract Diffuse midline gliomas (DMG) H3 K27-altered are incurable grade 4 gliomas and represent a major challenge in neuro-oncology. This tumor type is classified in four subtypes by the 2021 edition of the WHO Classification of the Central Nervous System tumors. However, we recently identified a new subtype of DMG by assembling a retrospective cohort of 60 adult and pediatric DMG cases harboring BRAF or FGFR1 mutations in addition to the H3K27M mutation or EZHIP overexpression. Comprehensive clinical, histological, radiological, and genomic, analyses allowed to identify distinct genotype-phenotype characteristics. Contrary to other DMG, these tumors occur more frequently in the thalamus (27% vs. 70% for BRAFV600E or 58% for FGFR1MUT), and in adults in the case of FGFRMUT tumors. Importantly, these patients display a longer overall survival with a median above three years. Unsupervised analysis of DNA methylation profiles regrouped these MAPK-altered DMG in a methylation cluster distinct from other DMG H3K27, but also lower-grade midline tumors driven by FGFR1 or BRAF mutations Additionally, this new DMG subtype harbors atypical radiological and histopathological profiles with calcification and/or a solid tumor component both for BRAFV600E and FGFR1MUT cases that can suggest this differential diagnosis. Further analyses of the transcriptome of these tumors compared to canonical DMG H3K27-altered showed an expression signature of senescence with activation of a TP53/CDKN1A axis, together with a strong upregulation of the PI3K/AKT/MTOR pathway. Our current modelling of the drug response using patient-derived models of these specific DMG will permit to rapidly prioritize treatment strategies. Additionally, our clinical experience in treating these patients suggests a higher response to everolimus and imipridone ONC201 in this specific subtype. In conclusion, DMG H3 K27 and BRAF/FGFR1 co-altered, represent a new subtype of DMG with distinct specific characteristics compared to canonical DMG H3K27 and data accumulated strongly support their separate stratification in clinical trials and specific therapeutic managements.

CIBERCRIMES: ESTELIONATO VIRTUAL NO DIREITO BRASILEIRO

The research addresses the topic of cybercrimes, focusing on virtual fraud in the context of Brazilian law. The main objective is to analyze the elements that make up the practice of virtual fraud, investigating its insertion in the Brazilian legal system and the evolution of the rules that govern this crime. In addition, the research discusses the emergence of virtual fraud, its distinctive characteristics and the punishments provided for in current legislation. The study also seeks to understand virtual crimes in Brazil and evaluate preventive measures aimed at victims, aiming to reduce and inhibit the practice of this crime, which has grown with the digitalization of everyday transactions. Strengthening digital education policies and creating protection mechanisms for users, especially the most vulnerable, are strategies that should be adopted in conjunction with the application of criminal laws. The conclusion highlights the need for more effective educational and legal policies to mitigate the damage caused by this type of fraud in the cyber environment.

The Gap Between Trustworthy AI Research and Trustworthy Software Research: A Tertiary Study

With the increasing application and complexity of Artificial Intelligence (AI) systems, the trustworthiness of AI has garnered widespread attention across various fields. An AI system is a specific type of software system with unique trustworthiness requirements due to its distinctive characteristics in data and algorithms. Our objective is to investigate the state-of-the-art in trustworthy AI and trustworthy software separately and to analyze the connections and gaps between them. To this end, we conducted a tertiary study, which is a systematic literature review of existing secondary studies. These secondary studies are divided into two groups: one focuses on trustworthy AI and the other on trustworthy software. We developed frameworks for both trustworthy AI and trustworthy software, summarized the definitions of quality attributes in a structured format, and analyzed the similarities of these attributes between the two areas. Additionally, we created a swimlane diagram illustrating trustworthy practices throughout the development life-cycle and in relation to specific quality attributes. Researchers in these two areas originate from distinct research communities, leading to a significant gap between the trustworthiness of AI and software. However, we believe that existing research on trustworthy software can effectively address some gaps in trustworthy AI research, and we have identified evidence of connections between the two areas.

Pt/β-Ga2O3 Schottky devices enabling 60 Hz half-wave rectification for power-efficient pixel display

Beta-phase gallium oxide, β-Ga2O3, in transistors and diodes has been reported due to its distinctive electrical characteristics, such as wide bandgap, low leakage current, and high breakdown electric field. However, besides such conventional basic devices, more advanced device applications using β-Ga2O3 are always necessary. Here, we report on the dynamic behavior of Pt/β-Ga2O3-based Schottky diode for power-efficient organic light emitting display (OLED). Two Schottky diodes are back-to-back connected in series to form a half-wave rectifier circuit and finally integrated with an OLED diode pixel. When AC voltage is applied to the circuit at a frequency greater than 60 Hz, blinking of the OLED light is indistinguishable to human eyes. By way of the rectifier circuit, the OLED pixel efficiently saves more than 35% of the power that should be consumed by applying DC voltage.

Gut microbiota and metabolic profiles in adults with unclassified diabetes: a cross-sectional study

AimsOur study, employing a multi-omics approach, aimed to delineate the distinct gut microbiota and metabolic characteristics in individuals under 30 with unclassified diabetes, thus shedding light on the underlying pathophysiological mechanismsMethodsThis age- and sex-matched case-control study involved 18 patients with unclassified diabetes, 18 patients with classic type 1 diabetes, 13 patients with type 2 diabetes, and 18 healthy individuals. Metagenomics facilitated the profiling of the gut microbiota, while untargeted liquid chromatography-mass spectrometry was used to quantify the serum lipids and metabolites.ResultsOur findings revealed a unique gut microbiota composition in unclassified diabetes patients, marked by a depletion of Butyrivibrio proteoclasticus and Clostridium and an increase in Ruminococcus torques and Lachnospiraceae bacterium 8_1_57FAA. Comparative analysis identified the combined marker panel of five bacterial species, seven serum biomarkers, and three clinical parameters could differentiate patients with UDM from HCs with an AUC of 0.94 (95% CI 0.85–1). Notably, the gut microbiota structure of patients with unclassified diabetes resembled that of type 2 diabetes patients, especially regarding disrupted lipid and branched-chain amino acid metabolism.ConclusionsDespite sharing certain metabolic features with type 2 diabetes, unclassified diabetes presents unique features. The distinct microbiota and metabolites in unclassified diabetes patients suggest a significant role in modulating glucose, lipid, and amino acid metabolism, potentially influencing disease progression. Further longitudinal studies are essential to explore therapeutic strategies targeting the gut microbiota and metabolites to modify the disease trajectory.

The influence of lattice anharmonicity on the thermal transport properties of two-dimensional MgF2

Abstract Graphene research has ignited interest in two-dimensional (2D) materials. In addition to their unique electronic, mechanical, and optical properties, 2D materials exhibit distinctive thermal transport characteristics. A profound understanding of the microscopic mechanisms underlying the thermal transport properties of 2D materials is crucial for applications in energy conversion and storage devices. However, current studies lack insights into the influence of higher-order lattice anharmonicity on the transport behavior of 2D materials. Thus, this paper focuses on the 2D 1T phase MgF2, analyzing its microscopic thermal transport properties through an anharmonic lattice dynamics approach. Our methodology comprehensively accounts for the effects of quartic anharmonicity and four-phonon scattering on the thermal transport properties of 2D materials.

NIMG-59. COMPARATIVE ANALYSIS OF LONG-TERM GLIOBLASTOMA SURVIVORS USING MACHINE LEARNING GENERATED RADIO-PATHOMIC METRICS

Abstract BACKGROUND Glioblastoma (GBM) remains the most devastating central nervous system malignancy with poor overall survival (OS), even with gross total resection (GTR) and chemoradiation. Identifying factors associated with long-term survival (LTS) in GBM patients is challenging but crucial for improving prognostic models. This study compares an internal dataset of the top 10% long-term survivors of GBM (n=14) against a combined external cohort of 528 GBM patients who underwent GTR. METHODS We used a previously published machine learning-generated radio-pathomic model based on autopsy tissue as ground-truth to generate whole-brain maps of cell density and tumor probability maps (TPM) using conventional preoperative MRI sequences in both our internal dataset and a combined external cohort of GBM patients who underwent GTR from the UCSF-PDGM-v2 and UPenn-GBM databases. We then analyzed clinical and radio-pathomic metrics, including cell density and TPM values within contrast-enhancing (CE) and FLAIR hyperintense regions. Statistical comparisons were performed using t-tests. RESULTS Cell density metrics showed significant differences, with lower cell density in contrast-enhancing regions (t-value: 4.709, p<0.001; median: 1559 vs. 1959) and in FLAIR hyperintense regions (t-value: 3.585, p<0.001; median: 1356 vs. 1568) within the LTS group. TPM metrics also showed significant differences, with lower TPM values in contrast-enhancing regions (t-value: 3.312, p<0.001; median: 0.71 vs. 0.72) and in non-enhancing regions (t-value: 2.606, p<0.01; median: 0.68 vs. 0.69) in the LTS group. CONCLUSION Our comparative analysis reveals distinct radio-pathomic characteristics associated with long-term survival in GBM patients. Reduced cell density and lower TPM values in both contrast-enhancing and FLAIR hyperintense regions are significantly correlated with long-term survival. These findings suggest that integrating radio-pathomic data may enhance prognostic models and warrants further studies evaluating the relationship of these markers and OS.

The unappreciated centrality of ethnoracially mixed Americans to the nation’s demographic future

The ethnoracial future of the United States has been framed as a demographic binary: Whites vs. people of color. The argument here is that this binary distorts by failing to take into adequate account the rapidly growing group of Americans who have been raised in mixed minority and White families, the great majority of the total mixed population. The members of this group generally have distinctive social characteristics: socioeconomic advantages compared to minorities and social integration into milieus with many Whites, as revealed by relatively high rates of marriage to them. However, their identities often encompass their minority heritage. Accordingly, they straddle the society’s major ethnoracial fracture line, creating an in-between social space and connecting, through kinship and other close social relations, both of its sides. However, their numbers are distorted in public national population data, such as census data and population projections; and they are typically counted as part of the non-White population. The recently announced revision of the race/ethnic data standards for the census offers an opportunity to refashion public data in a way that illuminates the important role this mixed group is likely to play in the nation’s demographic future.

Selective synthesis of fluorescent metal nanoclusters over metal nanoparticles.

Metal nanoparticles and nanoclusters are pivotal in nanomaterial science, each offering unique properties for diverse applications. Nanoclusters, typically smaller than 2nm, exhibit distinct optical and electronic characteristics due to quantum confinement, resulting in fluorescence emission. In contrast, metal nanoparticles, sized between 2 and 100nm, exhibit absorption spectra. Both are synthesized by reducing metal precursors in the presence of a suitable stabilizing agent. While nanoparticles have been the historical research focus, recent attention has shifted to nanoclusters for their exceptional properties and their synthesis has evolved significantly over the past few decades. This review discusses the selective synthesis of nanoclusters over nanoparticles, emphasizing the role of various factors such as ligand concentration(metal-to-ligand ratio), reducing agents, pH,reactiontime and temperature, solvents, and assistant reagents. Higher ligand concentrations stabilize smaller nanoclusters by preventing aggregation, while lower concentrations lead to larger nanoparticles. Stronger reducing agents produce smaller, more uniform particles, whereas weaker reducingagents yield larger ones. pH affects nanocluster size and emission properties. Solvents and assistant reagents influence reaction kinetics and material properties. Temperature and reaction time also play critical roles in controlling nanocluster size and properties. These insights guide the optimized synthesis of metal nanoclusters, for their specific applications.

Latent typology of nonsuicidal self‐injury and differences in mental health outcomes

AbstractNonsuicidal self‐injury (NSSI), defined as deliberate acts of self‐harm without suicidal intent, significantly impacts adults. NSSI involves various behaviors, varying in frequency and severity as well as intersecting with one another. To uncover unobserved subtypes of NSSI, this study utilized latent class analysis (LCA) to precisely identify a latent typology of NSSI among adults using a large national sample (N = 18,798; Mage = 21.73; SD = 4.93). Additionally, differences in mental health outcomes, including depression and anxiety, across the identified latent subtypes of NSSI were examined in the LCA model. The findings revealed eight distinct latent subtypes, demonstrating statistically significant differences in depression and anxiety, including multimethod—severe, multimethod—moderate, multimethod—mild, cutting—dominant multimethod, unimethod—pulling hair, unimethod—interfering with wound healing, unimethod—punching/banging, and unimethod—punching/banging an object. These findings underscore the distinct characteristics and mental health needs of each latent subgroup and suggest more tailored and targeted approaches for counseling practice.

Resolving Contrast and Detail Trade-Offs in Image Processing with Multi-Objective Optimization

This article addresses the complex challenge of simultaneously enhancing contrast and detail in an image, where improving one property often compromises the other. This trade-off is tackled using a multi-objective optimization approach. Specifically, the proposal’s model integrates the sigmoid transformation function and unsharp masking highboost filtering with the NSGA-II algorithm. Additionally, a posterior preference articulation is introduced to select three key solutions from the Pareto front: the maximum contrast solution, the maximum detail solution, and the knee point solution. The proposed technique is evaluated on a range of image types, including medical and natural scenes. The final solutions demonstrated significant superiority in terms of contrast and detail compared to the original images. The three selected solutions, although all are optimal, captured distinct characteristics within the images, offering different solutions according to field preferences. This highlights the method’s effectiveness across different types and enhancement requirements and emphasizes the importance of the proposed preferences in different contexts.

POSSIBILITIES AND PROSPECTS OF USING AR AND VR IN THE MARKETING ACTIVITIES OF BUSINESS STRUCTURES

The relevance of the work is due to the fact that in the conditions of digitization of the economy with the help of AR and VR, businesses can create unique offers for each client, increasing the level of satisfaction and loyalty. The use of AR and VR allows not only to increase customer engagement, but also to create a unique user experience that strengthens the brand and increases sales. The purpose of the article is to research the possibilities and prospects of using augmented reality (AR) and virtual reality (VR) technologies in marketing strategies of modern business. The scientific study includes practical examples of the use of AR and VR in real marketing campaigns. The article presents the distinctive characteristics of virtual reality and augmented reality technologies. The article indicates the potential development trends of AR and VR in the field of marketing and their impact on business competitiveness in the digital economy. The challenges that companies face during the implementation of these technologies are identified, namely: technical challenges (High requirements for technical support, Complexity of content development, Difficult integration with other technologies), economic challenges (High cost of implementation, Limited number of users, High costs of maintenance and updating) and social challenges (Barriers in technology adoption, Privacy and data security, Social inequality). Recommendations for overcoming them have been developed. It is noted that in order to overcome these obstacles, it is necessary to improve technical solutions, reduce costs and work on improving the user experience. At the same time, it is important to take into account the confidentiality and availability of technologies for different categories of the population. AR and VR have been found to be successfully used in various fields to enhance user engagement and create new opportunities for brands. The results of the study can help business structures to better navigate the possibilities of AR and VR, facilitating adaptation to new market realities. Prospects for further research include the development of a method for assessing the effectiveness of AR/VR campaigns.

INNV-06. ADULT GLIOBLASTOMA WITH MISMATCH REPAIR DEFICIENCY FORMS A DISTINCT HIGH-RISK MOLECULAR SUBGROUP FOR WHICH TREATMENT WITH IPILIMUMAB-NIVOLUMAB SHOWS SURVIVAL ADVANTAGE

Abstract Glioblastoma is the most frequent and malignant primary brain tumor. Although the survival is generally dismal for glioblastoma patients, risk stratification and the identification of high-risk subgroups is important for prompt and aggressive management. The G1-G7 molecular subgroup classification based on the MAPK pathway activation has offered for the first time a non-redundant, all-inclusive classification of adult glioblastoma. Five patients from the large, 220-patient prospective cohort showed germline mutations in mismatch repair (MMR) genes and significantly worse median survival (3.25 months post-surgery) than those from other subgroups or from the rest of the cohort adjusted for age. These tumors were assigned to a new subgroup, G3/MMR, a spin-off from the major G3/NF1 subgroup, as they generally show genomic alterations leading to RAS activation. An integrated clinical, histological, immunohistochemical and molecular analysis of the G3/MMR tumors showed distinct characteristics as compared to other glioblastomas, including those with iatrogenic high tumor mutation burden (TMB), warranting a separate subgroup. Among these, prior history of cancer, midline location or multifocality, presence of multinucleated giant cells, positive p53 and MMR immunohistochemistry, and specific molecular characteristics, including high TMB, alert to this high-risk G3/MMR subgroup. High TMB constitutes the criterium for treatment with immune checkpoint inhibitors in solid cancers. The FDA-approved first-line therapy for advanced non-small cell lung cancer and high-TMB colorectal cancer is with the dual ipilimumab-nivolumab regimen. One of the five G3/MMR subgroup patients received the dual ipilimumab-nivolumab regimen and survived much longer than the rest of the G3/MMR patients, setting a proof-of-principle example for the treatment of these very aggressive G3/MMR glioblastomas.

Classification of long-term disease patterns in inflammatory bowel disease and analysis of their associations with adverse health events.

With existing researches identifying an increased rate of long-term conditions (LTCs) among Inflammatory Bowel Disease (IBD) patients, yet there is a lack of exploration into the patterns of comorbidity and prognostic rates for IBD patients with multiple morbidities. The study included 8,305 participants who self-reported having IBD, comprising ulcerative colitis (UC) and Crohn's disease (CD). Latent class analysis (LCA) was utilized to create optimal categories of LTC combinations for UC and CD patients with additional long-term conditions. Using Cox proportional hazards models, we compared the all-cause mortality rates over a 16-year follow-up among UC and CD patients within different LTC categories, both without LTCs and with the addition of one LTC, the probability of major adverse cardiovascular events (MACE), and the rates of IBD-related surgeries. A total of 5,617 participants reported having two or more LTCs, with the LCA method identifying three prevalence categories among CD patients, and four prevalence categories among UC patients. The highest mortality rate among CD patients was found in category 3: (HR 1.789, 95% CI (1.439-2.224)), and the highest rates of MACE were also in category 3: (HR 11.432, 95% CI (9.332-14.005)), with hypertension being the distinguishing characteristic of this category, and the highest rates of IBD-related surgeries being associated with pain in category 1: (HR 1.217, 95% CI (0.983-1.506)). Among UC patients, the highest mortality rate was in category 3: (HR 2.221, 95% CI (1.837-2.684)), with the highest MACE rates found in category 3: (HR 6.422, 95% CI (5.659-7.288)), and the highest rates of IBD-related surgeries being associated with pain, also in category 3: (HR 1.218, 95% CI (1.041-1.425)). The rates of adverse health outcomes in IBD patients is closely associated with multimorbidity patterns, underscoring the need to fully consider multimorbidity patterns in the assessment, management, and treatment strategies for IBD.

Proteins and noncoding RNAs that promote homologous chromosome recognition and pairing in fission yeast meiosis undergo condensate formation invitro.

Pairing of homologous chromosomes during meiosis is crucial for successful sexual reproduction. Previous studies have shown that the fission yeast sme2 RNA, a meiosis-specific long noncoding RNA (lncRNA), accumulates at the sme2 locus and plays a key role in mediating robust pairing during meiosis. Several RNA-binding proteins accumulate at the sme2 and other lncRNA gene loci in conjunction with the lncRNAs transcribed from these loci. These lncRNA-protein complexes form condensates that exhibit phase separation properties on chromosomes and are necessary for robust pairing of homologous chromosomes. To further understand the mechanisms by which phase separation affects homologous chromosome pairing, we conducted an invitro phase separation assay with the sme2 RNA-associated proteins (Smps) and RNAs. Our findings reveal that one of the Smps, Seb1, forms condensates resembling phase separation; the observed number and size of these condensates increase upon the addition of another Smp, Rhn1, and purified RNAs. Additionally, we have found that RNAs protect Smp condensates from treatment with 1,6-hexanediol. The Smp condensates containing different types of RNA display distinct FRAP profiles, and the Smp condensates containing the same type of RNA tend to fuse together more readily than those containing different types of RNAs. Collectively, these results indicate that the specific RNA species within condensates modulate their physical properties, potentially enabling the formation of regional RNA-Smp condensates with distinct characteristics that facilitate homologous chromosome pairing.

Clinicopathological features and prognosis of mucinous breast carcinoma with a micropapillary structure.

To conduct a comparative analysis of clinicopathological data between mucinous micropapillary breast carcinoma (MUMPC) and pure mucinous carcinoma (PMC) without a micropapillary structure to elucidate the distinctive clinicopathological characteristics of MUMPC and their impact on prognosis. This retrospective analysis included 325 patients diagnosed with mammary mucinous carcinoma admitted to Tianjin Cancer Hospital between July 2014 and December 2019, including 197 patients with MUMPC and 128 patients with PMC without a micropapillary structure. Clinicopathological features were compared, and factors influencing the prognosis of MUMPC were analyzed. Survival analysis was conducted using the Kaplan-Meier method, and univariate and multivariate prognostic analyses for MUMPC were performed using the Cox proportional hazard regression model. The median follow-up period was 76 months. In the MUMPC and PMC groups, the disease-free survival (DFS) rates at 3, 5, and 7 years were 95.4%, 90.4%, 89.8%, and 100%, 98.4%, and 96.9%, respectively, with a statistically significant difference between the two groups (p = 0.009). Tumor, node, and metastasis (TNM) stage, lymph node metastasis, and endocrine treatment were significant factors influencing the prognosis of the MUMPC group (p < 0.001). Multivariate analysis revealed that lymph node metastasis and endocrine therapy were independent prognostic factors in patients with MUMPC (p < 0.001). Compared with PMC, the MUMPC group exhibited a higher prevalence of HER2 (11.2% vs. 3.1%, p = 0.009) and Ki-67 overexpression (79.7% vs. 60.2%, p < 0.001). The lymph node stage is the most crucial clinicopathological feature of MUMPC. Endocrine treatment strategy is an independent risk factor affecting the prognosis of MUMPC.

Deep Learning-Based Classification of Macrofungi: Comparative Analysis of Advanced Models for Accurate Fungi Identification

This study focuses on the classification of six different macrofungi species using advanced deep learning techniques. Fungi species, such as Amanita pantherina, Boletus edulis, Cantharellus cibarius, Lactarius deliciosus, Pleurotus ostreatus and Tricholoma terreum were chosen based on their ecological importance and distinct morphological characteristics. The research employed 5 different machine learning techniques and 12 deep learning models, including DenseNet121, MobileNetV2, ConvNeXt, EfficientNet, and swin transformers, to evaluate their performance in identifying fungi from images. The DenseNet121 model demonstrated the highest accuracy (92%) and AUC score (95%), making it the most effective in distinguishing between species. The study also revealed that transformer-based models, particularly the swin transformer, were less effective, suggesting room for improvement in their application to this task. Further advancements in macrofungi classification could be achieved by expanding datasets, incorporating additional data types such as biochemical, electron microscopy, and RNA/DNA sequences, and using ensemble methods to enhance model performance. The findings contribute valuable insights into both the use of deep learning for biodiversity research and the ecological conservation of macrofungi species.

Photochemistry dominates over photothermal effects in the laser-induced reduction of graphene oxide by visible light

Graphene oxide (GO) possesses specific properties that are revolutionizing materials science, with applications extending from flexible electronics to advanced nanotechnology. A key method for harnessing GO’s potential is its laser-induced reduction, yet the exact mechanisms — photothermal versus photochemical effects — remain unclear. Herein, we discover the dominant role of photochemical reactions in the laser reduction of GO under visible light, challenging the prevailing assumption that photothermal effects are dominant. Employing a combination of Raman thermometry, X-ray photoelectron and photoluminescence spectroscopies, and electrical atomic force microscopy, we quantify the temperature and map the reduction process across micro and nano scales. Our findings demonstrate that the photochemical cleavage of oxygen-containing groups below a reduction threshold temperature is a decisive factor in GO reduction, leading to distinct characteristics that cannot be replicated by heating alone. This work clarifies the fundamental mechanisms of GO transformation under visible laser irradiation, highlighting the dominant role of photochemical processes. Distinguishing these subtleties enables the development of laser-reduced GO platforms for graphene-based applications compatible with industrial scales. We illustrate this potential by encoding information on GO surfaces as optical storage, allowing us to write binary sequences in long-term memory encoding invisible even through an optical microscope.