Value Of Factor Research Articles

Association of triglyceride-glucose-body mass index with all-cause mortality among individuals with cardiovascular disease: results from NHANES

BackgroundThe objective of this study was to explore the relationship between the triglyceride-glucose-body mass index (TyG-BMI) and all-cause mortality rate and to determine valuable predictive factors for the survival status of patients with cardiovascular disease (CVD).MethodsConduct a study on CVD patients in the NHANES database from 2007 to 2016. Patients were divided into four groups based on the weighted quartiles of TyG-BMI. Kaplan-Meier curves, Cox regression, and restricted cubic spline (RCS) were used to analyze the correlation between this index and all-cause mortality. Receiver operating characteristic (ROC) curves were used to evaluate its predictive ability, sensitivity, and specificity.ResultsThis study included 1085 patients, and revealed significant differences in survival rates among patients with different TyG-BMI levels. Patients in the higher TyG-BMI group have a lower mortality risk, yet there is no evident non-linear relationship. The ROC curve indicates that this indicator can serve as a predictive value for mortality in CVD patients, demonstrating good sensitivity and specificity.ConclusionThis study found a significant association between TyG-BMI index and all-cause mortality in patients with CVD. TyG-BMI can be used as a predictive indicator of all-cause mortality in CVD patients.

Predicting Manganese Mineralization Using Multi-Source Remote Sensing and Machine Learning: A Case Study from the Malkansu Manganese Belt, Western Kunlun

This study employs multi-source remote sensing information and machine learning methods to comprehensively assess the geological background, structural features, alteration anomalies, and spectral characteristics of the Malkansu Manganese Ore Belt in Xinjiang. Manganese mineralization is predicted, and areas with high mineralization potential are delineated. The results of the feature factor weight analysis indicate that structural density and lithological characteristics contribute most significantly to manganese mineralization. Notably, linear structures are aligned with the direction of the manganese belt, and areas exhibiting high controlling structural density are closely associated with the locations of mineral deposits, suggesting that structure plays a crucial role in manganese production in this region. The Area Under the Curve (AUC) values for the Random Forest (RF), Naïve Bayes (NB), and eXtreme Gradient Boosting (XGBoost) models were 0.975, 0.983, and 0.916, respectively, indicating that all three models achieved a high level of performance and interpretability. Among these, the NB model demonstrated the highest performance. By algebraically overlaying the predictions from these three machine learning models, a comprehensive mineralization favorability map was generated, identifying 11 prospective mineralization zones. The performance metrics of the machine learning models validate their robustness, while regional tectonics and stratigraphic lithology provide valuable characteristic factors for this approach. This study integrates multi-source remote sensing information with machine learning methods to enhance the effectiveness of manganese prediction, thereby offering new research perspectives for manganese forecasting in the Malkansu Manganese Ore Belt.

Clinical features and risk factors of HIV-infected patients with intracerebral hemorrhage: a retrospective study with propensity score matching analysis.

To investigate the clinical features and risk factors of the human immunodeficiency virus (HIV)-infected patients with intracerebral hemorrhage (ICH). The patients with HIV-infected without ICH group were matched to the group of HIV-infected ICH patients. Logistic regression analysis using 1:1 propensity score matching (PSM) was performed to investigate the independent risk factors for ICH in HIV-infected patients. The receiver operating characteristic (ROC) curve was configured to calculate the optimal predictors of ICH in HIV-infected patients. A total of 59 HIV-infected patients with ICH and 180 HIV-infected patients without ICH were included. A cohort of 118 patients was ascertained utilizing PSM. Multivariate binary logistic regression analysis revealed that drug abuse-related HIV-infected, prolonged prothrombin time (PT), and elevated triglyceride (TG) levels were independent risk factors of ICH in HIV-infected patients. The ROC curve demonstrated that the combined predictor, composed of drug abuse-related HIV-infected, prolonged PT, and elevated TG levels, exhibited the highest area under the curve (AUC), with a cut-off point at 0.426, sensitivity of 78%, and specificity of 81.4%. The present study revealed that a valuable factor combined with drug abuse-related HIV-infected, prolonged PT, and elevated serum TG levels could serve as predictors of ICH in HIV-infected patients.

Understanding selected growth aspects in Redbelly Tilapia, Coptodon zilli (Gervais) and Largemouth Bass, Micropterus salmoides (Lacepède) in Lake Naivasha, Kenya; Fisheries Management Perspective

Coptodon zilli and Micropterus salmoides were introduced into Lake Naivasha in 1929 and 1959, to boost the fisheries and for recreational fishing respectively. The population of the two fish species in the lake has been declining making it necessary to assess selected growth aspects to inform management and policy making for recovery and establishment of their populations. Length-weight relationship, condition factor, sex ratio and length at first maturity of the fish were studied from October 2016 to November 2018. A total of 303 fish samples; 193 C. zilli and 110 M. salmoides were studied. Results showed that C. zilli and M. salmoides had an allometry coefficient value of 2.9 and 3.1 and condition factor (K) value of 1.77 and 1.39 respectively. The sex ratios (male: female) of C. zilli and M. salmoides were 1.1:1 and 1.3: 1 respectively. The shortest total length for mature C. zilli and M. salmoides recorded were 12 cm and 26.5 cm while 21.8 cm and 51 cm were for the longest respectively. The fish exhibited allometric growth pattern. They were also found to be in good condition with K factor above 1. It was concluded that the fish are generally in a good condition though the early maturity for C. zilli could be a sign of either environmental or fishing pressure. Domination of the species by males is a case for concern since it presents uncertainty on the future of the fisheries. Restocking of Lake Naivasha with the two fish species should be considered.

Prediction of prognosis, efficacy of lung adenocarcinoma by machine learning model based on immune and metabolic related genes

BackgroundThe aim of this study is to integrate immune and metabolism-related genes in order to construct a predictive model for predicting the prognosis and treatment response of LUAD(lung adenocarcinoma) patients, aiming to address the challenges posed by this highly lethal and heterogeneous disease.Material and methodsUsing TCGA-LUAD as the training subset, differential gene expression analysis, batch survival analysis, Lasso regression analysis, univariate and multivariate Cox regression analysis were performed to construct prognostic related gene models. GEO queue as validation subsets, is used to validate build Riskscore. Then, we explore the Riskscore and mutation status, immune cell infiltration, the relationship between immune therapy and chemotherapy, and build the model of the nomogram.ResultsThe Riskscore has been determined to be composed of seven gene. In the high-risk group defined by this score, both early-stage and advanced-stage LUAD patients exhibit a decreased overall survival rate. The mutation status of patients as well as immune cell infiltration show associations with the Riskscore value obtained from these genes’ expression levels. Furthermore, there exist variations in response to immunotherapy as well as sensitivity to commonly used chemotherapy drugs among different individuals. Lastly, when using a column line plot model based on the calculated Riskscore values, we obtain a concordance index (C-index) was 0 .716 (95% CI 0.671–0.762), and time-dependent ROC predicted probabilities of 1-, 3- and 5-year survival for LUAD patients were 0.752, 0.725 and 0.654, respectively.ConclusionIn conclusion, we have successfully developed a predictive model incorporating immune and metabolism-related genes, encompassing gene expression levels of CAT/CCL20/GPI/INSL4 NT5E/GSTA3/GNPNAT1. This comprehensive model not only enables the prognosis prediction for LUAD patients but also facilitates the prediction of their response to first-line chemotherapy drugs and immune checkpoint inhibitors, thus demonstrating its broad potential in clinical applications. However, our study still has limitations as it is based on TCGA and GEO databases with limited pathological characteristics of patients. Therefore, more practical and valuable factors are needed to predict efficacy. The crosstalk between metabolism and immunity remains to be explored. Finally, this study lacks experimental evidence for the underlying gene expression of prognosis and further research is required.

EXAMINING THE CHARACTERISTICS OF EFFECTIVE CO-OPERATIVE LEADERSHIP: INSIGHTS FROM COMMITMENT, VISION, AND BUSINESS ACUMEN IN MALAYSIA

This paper investigates valuable and relevant factors that will improve co-operative leadership in Malaysia with a focus on a collective drive, social responsibility, and sound business judgment. A qualitative research design was employed, and the data was collected from Malaysian co-operative leaders. The participants are chosen from among co-operative leaders in Malaysia, such as board members and executive officers. The objective of the study is to identify practical strategies that can boost the resiliency of co-operative societies and enhance their community engagements. The concept of a shared vision is understood as a unifying factor, community commitment is important in ensuring that social value is created, while business savvy is seen as critical for competition in the marketplace. It is anticipated that this research will identify the interaction among the three attributes, and how they together are conducive to the achievement of sustainable co-operative leadership, from the viewpoint s of the stakeholders who wish to see the development of Malaysian co-operatives’ sector.

Employee Job Crafting Behaviour and its Antecedents: A Study of Psychological Safety, Psychological Autonomy, and Task Competence

AbstractProactive employee behaviour (e.g., job crafting) and aligning jobs with abilities, needs, and preferences have been accorded with the potential for several organisationally desirable outcomes. This study addresses two gaps in the existing literature: the lack of empirical research on the inherent predisposition of psychological safety (PS), psychological autonomy (PA), and task competence (TC) to JCB and the limited investigation of the underlying mechanisms in these relationships. This study uses job demands-resources theory to examine the influence of PS, PA, and TC on JCB and the moderating role of job crafting self-efficacy in these relationships. A statistical regression test (aided by Process Micro) was applied to the data. The study found that task competence and psychological autonomy significantly influenced job-crafting behaviour, while psychological safety did not. Job crafting self-efficacy moderated these effects, with psychological safety being more impactful when self-efficacy is low. This study contributes to understanding JCB’s antecedents and boundary conditions, and the job demand-job resource theoretical model is a valuable organisational factor needed to address this knowledge gap, thus providing insights for theory-building and practical interventions. As JCB and its proposed antecedents are malleable, this study highlights the potential resources to improve JCB in the workplace.

Comparative Analysis of Traditional and Alternative Engines: Advancements and Impacts on Sustainability

Traditional internal combustion engines (ICEs) have accompanied humans for a long time and have developed to contain good performance and high reliability. However, the emissions of traditional engines play a big role in environmental pollution, which goes against the most important tenet of human development—sustainable development. To radically deal with this concern, alternative engines have been invented and developed these years instead of further study of traditional engines. Alternative engines, including hybrid, fuel cell, and electric engines, are designed to convert energies from renewable resources to reduce greenhouse gas (GHG) emissions. Alternative engines are also beneficial for saving costs of fuel because of their higher fuel efficiency, which is a valuable factor for choosing a vehicle with such an engine as the family car. Each kind of alternative engine has its drawbacks, such as the high maintenance rate of hybrid engines, limited driving range of battery electric vehicles (EVs), and possibly high GHG emissions of fuel cells. These are factors for the comparison of engines and should be considered when choosing an engine that is suitable for a specific situation.

Boosting Supramolecular Gelation Efficiency and Properties: Ionic Strength as a Key to Superior Hydrogels.

Controlling the minimum gelation concentration (MGC) of low molecular weight (LMW) hydrogelators is a key for modulating gel properties, such as mechanical strength, viscoelasticity, and stability, which are crucial for applications ranging from drug delivery to tissue engineering. However, tweaking the MGC under specific conditions, such as pH and/or temperature, poses a considerable challenge. Herein, we varied the ionic strength of buffer solutions using NaCl for several LMW hydrogelators, including Fmoc-Phe, Fmoc-Tyr, Fmoc-Trp, Fmoc-Met, and Fmoc-Cha, and assessed their gelation efficiency at pH 7.4 and ambient temperature. Interestingly, Fmoc-Phe demonstrated a ∼67% (3-fold) MGC reduction, from 0.24 to 0.08 wt %, at 500 mM NaCl, transforming it a "super hydrogelator" (MGC < 0.1 wt %), while Fmoc-Trp showed 60% MGC reduction. Higher ionic strength effectively shields the electrostatic repulsion between negatively charged (-COO-) groups on the Fmoc-Phe, promoting closer aggregation and more efficient self-assembly and allowing for gelation at lower concentrations. In contrast, Fmoc-Met, Fmoc-Cha, and Fmoc-Tyr precipitated in the presence of NaCl, suggesting that NaCl specifically modulates the MGC of Fmoc-amino acid gelators containing unsubstituted aromatic side chains. Furthermore, these results indicate that cation-π interactions likely play a role, alongside carboxylic acid neutralization. While Fmoc-Phe forms gels in the presence of other monovalent cations, it does not form a hydrogel in the presence of divalent (CaCl2) and trivalent (AlCl3), indicating that enhancement of hydrogelation is specific to monovalent cations. Although the fibrillar structure of Fmoc-Phe hydrogels remained consistent, addition of NaCl increased fibril stickiness, creating densely packed networks that modulate the mechanical strength. Unlike typical cases where increased ionic strength leads to precipitation, Fmoc-Phe gelation at high NaCl concentrations (150-500 mM) is significant, yielding a robust supramolecular hydrogel that remains stable in high ionic-strength environments. This outcome suggests that ionic strength could be a valuable factor to enhance the efficient gelation of LMW hydrogelators.

Whole transcriptome and proteome analyses identify ncRNAs and mRNAs to predict competing endogenous RNA networks in hepatitis B virus-induced hepatocellular carcinoma.

The presence of the Hepatitis B virus (HBV) is considered as a valuable risk factor of hepatocellular carcinoma (HCC). To more deeply comprehend the molecular mechanism and transcriptome of HBV-induced HCC, we utilized tandem mass tagging (TMT)-based quantitative proteomics analysis and whole-transcriptome sequencing to analyze three sets of matched HepG2 hepatoma cells and HBV-positive HepAD38 cells. The differentially expressed (DE) proteins (1596), mRNAs (5263), miRNAs (581), lncRNAs (2672) and circRNAs (222) were subjected to differential expression and enrichment analyses in order to thoroughly assess the gene-regulatory circuits of HBV-induced HCC. Subsequently, the amounts of 321 DEproteins-DEmRNAs with common alterations were confirmed. According to functional pathway analysis, the DEproteins-DEmRNAs were primarily linked to signaling pathways, amino acid metabolism, and cellular function. Furthermore, the viability and significance of the ceRNA regulatory networks, LOC105377730/miR-4726-5p/FHL2 and hsa_circ_0001098/miR-2110/IGF2BP1, were randomly chosen and confirmed. Our work provides a valuable asset in terms of understanding regulatory activities at the RNA level, and might reveal fresh information about the fundamental mechanism and potential therapeutic targets of HBV-induced HCC.

Predicting solitary pulmonary lesions in breast cancer patients using 18fluorodeoxyglucose-positron emission tomography/computed tomography combined with clinicopathological characteristics

BackgroundSolitary pulmonary nodules (SPNs) remain difficult to diagnose for clinical therapeutic purposes in patients with a history of breast cancer. This study try to investigate the value of 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) combined with clinicopathological predictors for the differential diagnosis of SPNs in breast cancer patients.MethodsOne hundred and twenty breast cancer patients with newly detected SPNs were enrolled in the study and divided into a primary lung cancer (PLC) group and a breast cancer metastasis (BCM) group. The clinicopathological characteristics as well as metabolic and morphological characteristics on 18F-FDG-PET/CT images of 120 patients were retrospectively reviewed. The differences of clinicopathological and 18F-FDG-PET/CT characteristics between the two groups were analyzed, and multivariate analyses for the diagnosis of SPNs were performed.ResultsClinicopathological terms of carcinoembryonic antigen (CEA) and CA15-3 levels exhibited significant differences between PLC and BCM groups (P = 0.005 and P = 0.001, respectively). Metabolic characteristics of 18F-FDG-PET/CT images included FDG uptake, SUVmax of SPNs, hilar and/or mediastinal lymph node metastasis, SUVmax of hilar and/or mediastinal lymph node, and extrapulmonary metastasis showed significant differences between PLC and BCM groups (P = 0.004, P < 0.001, P = 0.01, P = 0.032 and P = 0.023, respectively). The lobulation sign, spicule sign, and pleural indentation sign were identified as statistically different morphological features of PLC in CT images (all P < 0.001). Among these, the SUVmax of SPNs, lobulation sign, and pleural indentation sign were valuable predictive factors for accurate diagnosis of SPNs in breast cancer patients.Conclusions18F-FDG-PET/CT combined with serum tumor markers are valuable for the diagnosis of SPNs in breast cancer patients.

Is that JPEG worth 70 million dollars? Value creation and perceptions of nonfungible tokens in a bubble economy

ABSTRACT Non-fungible tokens (NFTs) have sparked questions about value. In our attempt to shed light on the value of NFTs, especially during their dramatic rise in the early 2020s, we develop a theoretical analysis of the extrinsic factors shaping NFT value based on a perfect storm of individual, social, marketing, and environmental factors. After detailing the effects of each of these factors in shaping NFT valuation, we develop a new understanding of value in a frenzy of celebrity influence, social media, decentralized authority, unregulated markets, marketing hype, and media magnification. We also articulate the intrinsic factors that still affect value as well. We argue that in the NFT bubble economy and its aftermath, extrinsic, social, and situational factors came to dominate valuation. We offer advice on how to make sense of value in the post NFT bubble and outline a research agenda that considers the role of cryptocurrency and metaverse.

The Influence of Sex and Gender on the Level and Course of Subjective Cognitive Complaints After Percutaneous Coronary Intervention.

Cognitive complaints (e.g., health anxiety and illness disruption) are commonly experienced by patients with coronary heart disease (CHD). While it is known that sex and gender affect health, their influence on cognitive complaints remains unknown. The current study explored sex and gender differences in cognitive complaints during the first month (acute phase) and beyond, up to 2years (recovery phase) after percutaneous coronary intervention (PCI). A total of 514 (Mage = 64.2 ± 8.9, 84.2% male) completed the cognitive scale of the Health Complaints Scale (i.e., overall cognitive complaints, health worry, illness disruption) at baseline, 1, 12, and 24months post-PCI. Additional questionnaires to gauge gender identity, traits, and norms were administered in a follow-up study. General linear mixed model analyses were conducted to examine the influence of sex, gender, sex × gender, and covariates on cognitive complaints. Cognitive complaints only decreased in the first month post-PCI (all p < .01). There were no clear sex differences. However, gender generally predicted cognitive complaints in the first 2 years post-PCI: masculinity was related to less complaints, whereas feminine individuals reported higher absolute levels of complaints. The current findings reveal that gender is a valuable factor concerning health complaints and indicate the need to further elaborate on the discrepancies between sex and gender in health research.

Dynamic changes of endogenous phytohormones and carbohydrates during spontaneous morphogenesis of Centaurium erythraea Rafn.

Common centaury (Centaurium eryhtraea Rafn) is a medicinal plant species with vigorous morphogenic potential in vitro. The process of spontaneous shoot regeneration in a solid root culture is characteristic for this plant species. In this context, the aim of this work was to investigate the dynamic changes of endogenous phytohormones and carbohydrates content in root explants at different time points (0, 2, 4, 7, 14, 21, 28, and 60 days) during spontaneous centaury morphogenesis in vitro. Detailed analysis of cytokinins (CKs) showed that trans-zeatin (tZ) was the major bioactive CK at all time points. The corresponding riboside, tZ9R, was also determined in the majority of the identified transport forms, at all time-points. Further analysis of endogenous auxin revealed a significant increase in endogenous indole-3-acetic acid (IAA) after 21 days, when a huge jump in the ratio of IAA/bioactive CKs was also observed. The maximum total soluble sugar content was measured after 14 days, while a significant decrease was determined after 21 days, when the first regenerated adventitious shoots appeared. This undoubtedly indicates an increased energy requirement prior to the actual regeneration of the shoots. The obtained results indicate that the period from day 14 to day 21 involves the most dramatic disturbances in endogenous bioactive CKs, IAA and carbohydrate balance, which are very important and valuable factors for the onset of shoot regeneration.

Typology of Business Incubators in Spain According to the Stages of Startups Incubation

The aim of this work was to classify the business incubators in Spain according to the four phases of the startup’s incubation process. Considering that the graduation rate implies greater survival and business success of the incubated companies, they have been identified at each stage of the incubation (spread of entrepreneurship, pre-incubation, advanced incubation, and graduation). The activities that present higher impacts on the success of the incubated companies and the activities carried out by the business incubator that have a greater relevance on the graduation of the companies have concretely been considered. Principal component (PC) cluster analysis has been applied. All the incubation variables were used simultaneously, reducing their number and grouping them into factors. Finally, the cases were grouped according to these latent variables. Principal component analysis reduced dimensionality to eight factors with a 74% explained variance. Factor 1 was positively related to pre-incubation variables; factor 2 was linked to training and collaboration variables within the entrepreneurship diffusion phase. Factor 3, named activity monitoring and control, was related to phase 3, or basic incubation variables. Cluster analysis facilitates the grouping of business incubators into three clusters: Group 1 (16% of the total), incubators with strong deficits in incubation phases 1, 2, and 3. They are small-sized business incubators, often located in rural areas or cities, with a low graduation rate. Group 2 (30%), business incubators with a very high graduation rate and strongly positive values in factors 1 and 2. Factor 3, although positive, is susceptible to improvement. They are the largest group of business incubators and usually located in industrial and technological parks. Group 3 (54%) is the majority, with values close to clusters 2 and 3.

Conversations with patients about death - experienced GPs' reflections and experiences.

The ageing population in Norway is steadily increasing, and both the number and complexity of patient-related tasks assigned to the primary health service, including GPs, are growing. This study aimed to investigate how experienced GPs conducted and reflected on conversations with their patients about death. Semi-structured in-depth interviews with ten experienced GPs, all specialists in general practice, were analysed using cross-case thematic analysis. Almost all the GPs viewed talking about death with their patients as a natural part of a GP's duties. The conversations were perceived as both challenging and meaningful. Having sufficient time for the conversation and getting to know the patients over time were considered valuable factors for good conversations. The GPs looked for golden moments in which to address the topic. The content of the conversation could vary, from specific measures to alleviate symptoms to the more existential and philosophical. The GPs expressed that they lacked formal competence and largely relied on their experience and belief in their communication skills when interacting with patients. Several described the lack of clarity on treatment intensity from the specialist health service as a barrier to initiating and conducting good conversations about death. Most of the GPs in this study talked to their patients about death and considered it a natural and necessary part of the GP's role.

Asset pricing in African frontier equity markets

This paper undertakes a horse races style comparison of the efficacy of a range of multifactor asset pricing models in explaining the cross section of stock returns in African securities markets. Valuation factors used include size, book-to-market value, momentum, operating profit, asset growth or investment, liquidity and investor protection. Using monthly returns of 375 blue chip firms from 8 African equity markets over 23 years, we undertake a horse-race style comparison of various classes of augmented CAPM models. We show that both the Fama & French (2015) five factor and Fama & French (2018) six factor framework yield the highest explanatory power. Analysis of costs of equity and optimized portfolio opportunity set simulations reveal substantial differences arising and borne by practitioners from the contrasting application of different asset pricing models underscoring the timely importance of our study.

Functional analysis of TkWRKY33: A key regulator in drought-induced natural rubber synthesis in Taraxacum kok-saghyz

WRKY proteins, which form a transcription factor superfamily that responds to jasmonic acid (JA) signals, regulate various developmental processes and stress responses in plants, including Taraxacum kok-saghyz (TKS). TKS serves as an ideal model plant for studying rubber production and lays the foundation for a comprehensive understanding of JA-mediated regulation of natural rubber synthesis. In the present study, we screened and identified a valuable transcription factor, TkWRKY33, based on transcriptome data from TKS in response to JA. We investigated its role in the regulation of natural rubber synthesis within the JA signaling pathway and its function in response to drought stress. Through protein-protein interactions and transcriptional regulation analysis, we found that TkWRKY33 may regulate natural rubber synthesis through the JA-TkMPK3-TkWRKY33-(TkGGPS5/TkACAT8) cascade pathway, possibly by participating in JA-activated mitogen-activated protein kinase (MAPK) signaling. Overexpression of TkWRKY33 in tobacco, along with functional analysis of drought resistance and comparative analysis of natural rubber content after drought stress, revealed that TkWRKY33 not only enhances plant drought resistance by regulating the expression of genes related to reactive oxygen species (ROS) scavenging through the JA signaling pathway, but also has a close relationship with the signal transduction pathway mediated by the JA hormone in regulating natural rubber synthesis.The TkWRKY33 is recognized as a valuable transcription factor, which likely plays a role in regulating natural rubber biosynthesis through the JA-activated MAPK cascade signaling pathway JA-TkMPK3-TkWRKY33-(TkGGPS5/TkACAT8).

The effect of handedness and biological sex on fingermark ridge height and volume as examined by 3D imaging.

For decades, detectives and forensic scientists have relied on friction ridge skin comparisons to identify individuals in criminal investigations. This method involves examining (latent) fingermarks, typically captured as two-dimensional (2D) images, and comparing them with known inked impressions or scans. The comparisons focus on general patterns, the location and orientation of minutiae, and additional characteristics like scars or pores. However, this common process overlooks other potentially valuable factors, such as handedness, biological sex, and the time since deposition, which could provide crucial investigative leads, especially in cases with partial or unclear ridge patterns. This study explored the potential of three-dimensional (3D) optical profilometry (OP) to observe changes in fingermarks ridge height and volume over 7 days while considering hand dominance and biological sex. The results indicated that all the assessed 3D metrics were generally consistent in detecting the effects of sex and handedness, mostly noticeable on aged fingermarks. Specifically, females and impressions from their non-dominant hand exhibited higher values. Additionally, the influence of time was evident, with fresh fingermarks showing significantly larger ridges in terms of height and volume. These findings suggest that 3D OP can enhance the probative value of fingermarks by inferring additional characteristics such as sex, handedness, and the age of the impression. These activity-level propositions could provide useful information in cases where only partial or poor-quality fingermarks are recovered, providing new data dimensions that could lead to more comprehensive forensic examinations.

Invasive Fungal Rhinosinusitis: The First Histopathological Study in Vietnam.

Invasive fungal rhinosinusitis (IRFS) is a rare but highly fatal disease. The two primary groups of pathogens, Mucorales and Aspergillus, require different treatments and have distinct prognoses. This study aimed to analyze the histopathological features of IFRS. We conducted a retrospective study involving 57 IFRS cases. Demographic and comorbid characteristics were obtained from clinical records. Two pathologists independently examined the histopathological features using H&E, PAS, and GMS-stained slides. Fungal groups were identified with PCR under the guidance of histopathology. The mean age of IFRS was 58.9 ± 13.4. The male-to-female ratio was 1.4:1. 100% of cases had diabetes comorbidity. Mucorales, Aspergillus, and other fungi were found in 61.4%, 33.3%, and 5.3% of cases, respectively. No Aspergillus and Mucorales co-infections were detected. Histopathology and PCR results were strongly concordant in classifying pathogens (Cohen's kappa = 84.2%, 95% CI 60.1% - 100%, p < 0.001). Mucormycosis exhibited higher rates of extensive necrosis and vascular invasion, and lower rates of pigment and spore presence than the non-Mucormycosis group (p < 0.001, p = 0.01, p = 0.02, p = 0.03, respectively). Extensive necrosis and vascular invasion were statistically significantly correlative (OR = 13.03, 95% CI 2.62-64.75, p = 0.002). IFRS predominantly affects older adults and males. Histopathology is a reliable method for differentiating between Mucorales and Aspergillus. When extensive necrosis is detected, it is critical to investigate for vascular invasion carefully. The vascular invasion, degree of necrosis, pigments, and spores are valuable factors for distinguishing fungal agents of IFRS.