The skin microbiome is an extensive community of bacteria, fungi, mites, and viruses colonizing the skin. Fluctuations in the composition of the skin microbiome have been observed in atopic dermatitis (AD) and food allergy (FA), particularly in early life, established disease, and associated with therapeutics. However, AD is a multifactorial disease characterized by skin barrier aberrations modulated by genetics, immunology, and environmental influences, thus the skin microbiome is not the sole feature of this disease. Future research should focus on mechanistic understanding of how early life skin microbial shifts may influence AD and FA onset, to guide potential early intervention strategies or as microbial biomarkers to identify high-risk infants who may benefit from possible microbiome-based biotherapeutic strategies. Harnessing skin microbes as AD biotherapeutics is an emerging field, but more work is needed to investigate whether this approach can lead to sustained clinical responses.

Severe Subconjunctival Hemorrhage: An Uncommon Ocular Manifestation of Malaria Induced by Antimalarial Drug - A Case ReportNouh Saad Mohamed1,2*, Abdallah E. Ahmed1, Rihab Ramadan3, Hamza Sami4, Ahmed Mudawi Musa5, Emmanuel E. Siddig6, Ayman Ahmed5,7,81 Molecular Biology Unit, Sirius Training and Research Centre, Khartoum, Sudan.2 Sennar Malaria Research and Training Centre, Sennar, Sudan.3 Khartoum Ophthalmic Hospital, Khartoum, Sudan.4 Directorate of the Integrated Vector Management, Federal Ministry of Health, Khartoum, Sudan5 Institute of Endemic Diseases, University of Khartoum, Khartoum, Sudan.6 University of Khartoum, Faculty of Medical Laboratory Sciences, Khartoum, Sudan.7 Swiss Tropical and Public Health Institute (Swiss TPH), CH-4123 Allschwil, Switzerland.8 Faculty of Science, University of Basel, Petersplatz 1, CH-4001 Basel, Switzerland.*Corresponding author: Nouh Saad Mohamed, Molecular Biology Unit, Sirius Training and Research Centre, Khartoum, Sudan. Email: nouh_saad@outlook.com.

Artificial intelligence (AI) has rapidly developed in recent years and is now an invaluable tool for organizations. AI fundamentally alters how leaders make decisions and holds the promise of transforming future team dynamics. Although we are entering an era in which artificial intelligence is becoming increasingly imperative at the organizational leadership level, no high-quality scientific sources have been found concentrating on how AI will transform the prevailing organizational leadership. This research gap was addressed with this qualitative elaboration by conducting expert interviews with technopreneurs from 10 IT Companies in Pakistan. The findings explain that AL will evolve the prevalent state of organizational leadership through: (1) shifting leaders towards intelligent approaches (e.g., management 3.0), (2) implying that leaders are tech-savvy, (3) expanding human capacities, (4) learning and unlearning from traditional managerial competence, (6) inculcating AI-wise leadership characteristics (e.g., agility), (7) benchmarking sustainability, and (8) coaching leaders for tomorrow. AI fundamentally alters how leaders make decisions and holds the promise of transforming team dynamics in the future. These findings have important implications not only for the future of organizational leadership practices and research but also for the future of leadership development.

Bi2O3 (BT) is considered a fascinating anode material for asymmetric supercapacitors (ASCs) due to its high theoretical capacity, but the low conductivity limits further applications. With this in mind, cerium-doped Bi2O3 (Ce−BT) nanoflower spheres were synthesized by a facile and rapid microwave-assisted solvothermal method for ASCs anode materials. It is found that the morphology of BT could be controlled by Ce doping from stacked nanosheets to well-dispersed nanoflowers spheres and producing abundant amorphous regions, thus expediting the ion transport rate. Consequently, When the added Bi to Ce molar ratio is 40:1 (Ce-BT-40), it exhibited a specific capacitance of 721 F g−1 at 0.5 A g−1. Additionally, when fabricating ASCs with as-prepared Ce−BT−40 and CeNiCo-LDH, an energy density of 59.1 Wh kg−1 is provided at a power density of 652 W kg−1. This work not only reveals the mechanism of the effect of Ce doping on the electrochemical properties of BTs but also proposes a rapid synthesis method of Ce−BTs by microwave-assisted solvent method, which provides new insights for building advanced ASCs with high energy density and low cost.

As a complex system involving three phases, the performance of CO2 electroreduction (CO2ER) is commonly constrained by mass transfer limitations originated from the low solubility of CO2 in aqueous electrolytes. Although some work has been carried out on mass transfer limitation, the underlying mechanism remains ambiguous. In this paper, a mass transfer model based on the Nernst-Planck equation was established to provide species concentration profiles within the catalyst layer and the internal effectiveness factor η was calculated to quantify the severity of mass transfer restrictions. The effects of catalyst layer thickness, diffusion layer thickness, and buffer concentration on CO2ER were evaluated based on η. Results show that the internal mass transfer is obvious in the catalyst layer. Increasing catalyst layer thickness only has a marginal benefit on current density — a thin catalyst layer (of about 15 μm) can give an excellent performance under an acceptable mass transfer limitation.

The response time of a website has an impact on the overall user experience. Slow-loading or unresponsive applications can quickly frustrate and alienate users, leading to dissatisfaction and potentially driving them away. Conversely, fast and efficient applications can greatly enhance user engagement, satisfaction, and ultimately contribute to the success of an online business. The main objective of this work is to check and compare the performance between Node.js and Java Spring Boot, in the context of implementing RESTful applications. REST (Representational State Transfer) has emerged as a dominant architectural style for building web services due to its simplicity, scalability, and compatibility with the stateless nature of the web. To achieve this objective, both implementations were created with an identical business use case, aiming to provide the fundamental CRUD operations (Create, Read, Update, and Delete). To conduct the performance analysis, Apache JMeter tool is used that enables the creation of a diverse set of concurrent virtual users, simulating real-world scenarios to load both applications at regular intervals. By subjecting the applications to varying user loads, it can be assessed how each platform performs under different workloads and identify potential bottlenecks and areas for improvement. The results obtained suggest that Node.js excels in faster response times for HTTP GET, ideal for read operations. However, Spring Boot outperforms Node.js for complex operations like POST, PUT, and DELETE under higher user loads. Both faced challenges at 64000 virtual users, with error rates from 10% to 75%, but Spring showed better error handling. Spring required fewer lines of code, benefiting from its environment and dependencies. Resource utilization in Node.js proved to be efficient with CPU load below 40% even under heavy loads. Spring on the other hand provided better response times, exhibited higher CPU usage at times, suggesting more resource-intensive optimization. The comparison emphasizes the importance of technology stack choice in development, speed and performance. The findings serve as a basis for developers to make informed decisions when selecting the appropriate technology stack based on specific project requirements, workload considerations, and performance expectations.

Nonconventional luminescent materials have been rising stars in organic luminophores due to their intrinsic characteristics, including water-solubility, biocompatibility and environmental friendliness, and have shown potential applications in diverse fields. As an indispensable branch of nonconventional luminescent materials, polysiloxanes which consist of electron-rich auxochromic groups, have exhibited outstanding photophysical properties due to the unique silicon atom. The flexible Si-O bonds benefit the aggregation, and the empty 3d orbitals of Si atom can generate coordination bonds like N → Si and O → Si, altering the electron delocalization of the material and improving the luminescent purity. Herein, we review the recent progress in luminescent polysiloxanes with different topologies and discuss the challenges and perspectives. With an emphasis on the driving force for the aggregation and the mechanism of tuned emissions, the role of Si atoms played in the nonconventional luminophores is highlighted. This review may provide new insights into the design of nonconventional luminescent materials and expand their further applications in sensing, biomedicine, lighting devices, etc.

Social norms are critical for the effective functioning of social systems. Previous studies have mainly focused on the effects of in-group/out-group on moral violations and cultural differences in social norm violations. The impacts of such violations within intimate relationships remain poorly understood. In this study, 35 Chinese college students judged the appropriateness of their mother’s or a stranger’s behaviors (e.g., singing) in different situations (e.g., library). The participants’ electroencephalography activities were analyzed when mothers and strangers violated social norms or conformed to them, aiming to uncover the neural mechanism underlying how interpersonal intimacy influences the detection of others’ normative behavior. The ERP results revealed that compared with social norm conformity, social norm violations by the mother elicited a stronger N400 which was related to cognitive conflict, and strangers elicited a more positive LPP which was related to cognitive assessment. However, no significant difference was observed by strangers in N400 and by mothers in LPP between violating and conforming to social norms. These findings suggest that interpersonal intimacy influences the detection of social norm violations. These findings broadly support the Norm Focus Theory, which posits that individuals assess the behavior of those they are intimate with more quickly and strictly, while they exert more cognitive effort later when assessing a stranger’s violation behavior. This aligns with Chinese culture’s interpersonal tendencies, which emphasize self-discipline and the characteristics of ‘being round outside and square inside’. The results offer insights into how intimate relationships impact behavioral and neural responses to social norm violations.

A document by Al Araf Siddique. Click on the document to view its contents.

As an environmentally friendly building material, recycled pervious concrete can not only alleviate the increasingly severe urban flooding and heat island effect, but also realize the resource utilization of construction waste. However, the porous nature of recycled pervious concrete leads to its low strength, and there is an urgent need to develop recycled pervious concrete with good mechanical and permeability properties. This paper proposes to mix fly ash and basalt fibers in the waste brick aggregate pervious concrete, and investigate the effects of mixing fly ash and basalt fibers on the properties of recycled brick pervious concrete by comparing the mechanical properties, water permeability and frost resistance of recycled brick pervious concrete. The results show that: with the increase of fiber admixture, the mechanical properties and frost resistance of recycled brick-mixed permeable concrete are improved, and the water permeability is decreased; fly ash is more obvious to improve the late strength of recycled brick-mixed permeable concrete, with the increase of fly ash admixture, the mechanical properties and frost resistance of recycled permeable concrete are improved, and the water permeability is decreased, and the excessive admixture of fly ash will greatly reduce the water permeability of recycled brick-mixed permeable concrete. Excessive incorporation of fly ash will greatly reduce the water permeability of recycled pervious concrete. Under the premise of better water permeability and mechanical properties, the optimal mix combination of 10% fly ash and 0.05% basalt fiber was selected on the basis of 85% recycled concrete aggregate and 15% brick aggregate as the mixed coarse aggregate.

Medulloblastoma (MB) is the most malignant paediatric brain cancer and current curative rates have not significantly improved recently. New diagnostic and prognostic biomarkers and improved treatment methods are needed to enhance MB patient outcomes. Our previous study showed that LIN28B, an RNA-binding protein, is a potential diagnostic and prognostic marker for MB, as well as a pharmacological target to inhibit the proliferation and stemness of MB cells. However, the specific role of LIN28B protein and its mechanism of action in MB had not been studied to date. This study assessed the role of LIN28B in Daoy MB cells using siRNA-mediated silencing of LIN28B. Supported by proteomics analysis and cell-based assays, silencing of LIN28B reduced the viability of MB cells, as well as ribosome biogenesis, and promotes cellular lipid accumulation. This study highlights the importance of LIN28B as a promising target to regulate MB cell growth, ribosomal biogenesis and lipid metabolism.

Ecological theory holds that tropical forest resistance to hurricanes should increase with stand age and aridity. However, limited data beyond a handful of long-term monitoring sites makes it hard to link resistance to hurricanes with environmental gradients. We address this by using trait data for 410 tree species, remote sensing metrics of canopy structure, and 339 plots to assess whether forest age and aridity mediate the impacts of two hurricanes in Puerto Rico. Hurricanes caused a 45% and 21% decrease in forest canopy height and cover, respectively, with a 25% increase in tree mortality. Old forest stands in wetter regions as well as those with tall canopies dominated by low wood density species were the most affected. Interestingly, high resistance to hurricanes was related to enhanced drought tolerance. These results highlight crucial complexity to include when forecasting the fate of tropical forests to increasingly stronger hurricanes in a changing climate.

Synopsis: Tanveera Tabassum Srinagar, Kashmir- India: (START) Even as a lot of scientific capital has gone to study the impact of peatland ecosystems on the plant and animal life and how it affects the overall atmospherics of the earth, there is a growing sense that a lot more is yet to be achieved in this regard. The focus of my essay is the frozen peatlands in the Hiamalyas. The glaciers and the snow masses are rapidly melting due to global warming. The melt down is posing a huge challenge to the countries downhill. But as the snows are melting more and more peatlands underneath are getting exposed resulting in the draining of carbon dioxide in the atmosphere. The heat generated by global warming and the release of gases from peatlands is a recipe for vicious circle with a potential to push populations down the precipice of an imminent disaster. My essay explains the subject in detail throwing light on its causes and consequences and long term solutions to convert the crisis into an opportunity. (ENDS)

Aims: The initial phase of multiple sclerosis (MS), often known as clinically isolated syndrome (CIS), is a critical period for identifying individuals at high risk of progressing to full-blown MS and initiating timely treatment. In this study, we aimed to evaluate the prognostic value of CXCL13 and IL-8 as potential markers for CIS patients’ conversion to MS. Methods: Our study encompassed patients with CIS, those with relapsing-remitting MS (RRMS), and control subjects, with sample analysis conducted on both cerebrospinal fluid (CSF) and serum. Patients were categorized into four groups: CIS-CIS (no MS development within two years), CIS-RRMS (conversion to RRMS within two years), RRMS (already diagnosed), and a control group (CG) with non-inflammatory CNS disorders. Results: Results showed significantly elevated levels of CXCL13 in CSF across all patient groups compared to the CG (p < 0.0001, Kruskal-Wallis test). Although CXCL13 concentrations were slightly higher in the CIS-RRMS group, statistical significance was not reached. Similarly, significantly higher levels of IL-8 were detected in CSF samples from all patient groups compared to the CG (p < 0.0001, Kruskal-Wallis test), with comparable levels among patient groups. ROC analysis in the CIS-RRMS group identified both CXCL13 (AUC = 0.959) and IL-8 (AUC = 0.939) in CSF as significant predictors of CIS to RRMS conversion. Conclusion: In conclusion, our study suggests a trend toward elevated CXCL13 levels in CIS patients progressing to RRMS. These findings emphasize the importance of identifying prognostic markers to guide appropriate treatment strategies for individuals in the early stages of MS.

Colorectal cancer is responsible for a high proportion of cancer mortality. The most effective way to avoid colorectal cancer is to have a colonoscopy. However, not every polyp in the colon is prone to cancer. As a result, different techniques are employed to classify polyps. Video endoscopy can diagnose stomach ulcers, bleeding, and polyps. Doctors spend a lot of time reviewing medical video endoscopy images. Computer-aided diagnosis to analyze all images quickly and accurately. Diagnosing gastrointestinal problems with the proposed strategy is novel. Following the classification of the gastrointestinal disorder, the further therapy and surgeries will be determined by its classification. The 5000 images in the Kvasir dataset are evenly distributed across five different digestive tract-related categories: ulcerative colitis, dye-lifted polyps, resection margins, normal cecum, polyps, and ulcerative polyps. The images used in the deep learning networks went through enhancements and noise reduction. We suggested a stacking ensemble approach to boost the model’s accuracy for prediction. The ensemble approach included five meticulously tuned deep convolutional neural network architectures, namely Xception, ResNet-101, VGG-19, EfficientNetB2v3, and MobineNetV2. These models were trained using weights obtained from the ImageNet dataset. Accuracy of 96.50% was achieved using meta models based on logistic regression, K-NN, Decision Tree, Support vector machine, and Naive Bayes classifier.

Introduction: The aim of the study was to assess the seroprevalence of SARS-CoV-2 in the Republika Srpska, Bosnia and Herzegovina, after five waves of COVID-19 and one year after introduction of vaccination to better understand the true extent of the COVID-19 pandemic and role of vaccination in achieving herd immunity. Methods: The population-based study was conducted from December 2021 to February 2022 in a group of 4,463 individuals from the Republika Srpska. Total anti-SARS-CoV-2 antibodies were determined in serum specimens using the Wantai total antibody ELISA assay and Kantaro Quantitative IgG assays. Results: The overall cumulative seroprevalence was 94.6%. Of all participants, 61.3% were vaccinated against COVID-19. Significantly higher seroprevalence rates were observed among vaccinated participants. Among various professions, the highest seroprevalence was found in the service industry (98.1%), education (98.0%) and healthcare (96.9%). This study found that 2.2% of vaccinated participants, and 3.6% of individuals with SARS-CoV-2 positivity during 2021, had no detectable IgG antibodies. Both seroprevalence and antibody titres were significantly higher in people with hybrid immunity. Conclusion: Our findings reveal a 2,3-fold increase in seroprevalence of SARS-CoV-2 antibodies due to infection and vaccination, comparing to the first study performed one year earlier. This study provides better understanding of the SARS-CoV-2 transmission and highlights the important role of the vaccination in achieving the population immunity. Periodically conducted population-based seroprevalence studies are important for assessment of surveillance system performance and public compliance with vaccination policies. Keywords: COVID-19, SARS-CoV-2 antibodies, seroprevalence, population-based study, Bosnia and Herzegovina, UNITY, SEROPREV.

Background Acute pulmonary vein reconnection via epicardial fibers can be found during observation period after PV isolation, the characteristics and related factors have not been fully studied. Objective To investigate the prevalence, locations, electrogram characteristics and ablation parameters related to acute epicardial pulmonary vein reconnection (AEPVR). Methods Acute PVR was monitored during observation period after PV isolation, from which AEPVRs were mapped and distinguished from endocardial conduction gaps. The clinical, electrophysiological characteristics and lesion set parameters were compared between patients with and without PVR. So were they compared among AEPVR, gap-related reconnection, and epicardial PVR in repeat procedures. Results 56.1% acute PVR were AEPVR, which required a longer waiting period ( P<0.001) than endocardial gap. The majority of AEPVR were connections from the posterior PV antrum to the left atrial posterior wall, followed by late manifestation of intercaval bundle conduction from the right anterior carina to right atrium. AEPVR was similar to epicardial PVR in redo procedures in distribution and electrogram characteristics. Smaller atrium ( P<0.001), lower impedance drop ( P=0.039) and ablation index ( P=0.028) on the posterior wall were independently associated with presence of AEPVR, while lower inter-lesion distance ( P=0.043) was the only predictor for AEPVR in acute PVR. An integrated model containing multiple lesion set parameters had the highest predictive ability for AEPVR in ROC analysis. Conclusions Epicardial reconduction accounted for the majority of acute PVR. AEPVR was associated with anatomic characteristics and multiple ablation-related parameters, which could be explained by nondurable transmural lesion or late manifestation of non-preferential conduction.

Populations of many bumblebee species are in decline, with distributions shifting northwards to track suitable climates. Climate change is considered a major contributing factor. Arctic species are particularly vulnerable as they cannot shift further north, making assessment of their population viability important. Analysis of levels of whole-genome variation is a powerful way to analyse population declines and fragmentation. Here we use genome sequencing to analyse genetic variation in seven species of bumblebee from the Scandinavian mountains, including two classified as vulnerable. We sequenced 333 samples from across the ranges of these species in Sweden. Estimates of effective population size (NE) vary from ~55,000 for species with restricted high alpine distributions to 220,000 for more widespread species. Population fragmentation is generally very low or undetectable over large distances in the mountains, suggesting an absence of barriers to gene flow. The relatively high NE and low population structure indicate that none of the species are at immediate risk of negative genetic effects caused by high levels of genetic drift. However, reconstruction of historical fluctuations in NE indicates that the arctic specialist species Bombus hyperboreus has experienced population declines since the last ice age and we detected one highly inbred diploid male of this species close to the southern limit of its range, indicating elevated genetic load. Although levels of genetic variation in mountain bumblebee populations are currently relatively high, their ranges are predicted to shrink drastically due to the effects of climate change and monitoring is essential to detect future population declines.

Across its Holarctic range, Arctic charr (Salvelinus alpinus) populations have diverged into distinct trophic specialists across independent replicate lakes. The major aspect of divergence between ecomorphs is in head shape and body shape, which are ecomorphological traits reflecting niche use. However, whether the genomic underpinnings of these parallel divergences are consistent across replicates was unknown but key for resolving the substrate of parallel evolution. We investigated the genomic basis of head shape and body shape morphology across four benthivore-planktivore ecomorph pairs of Arctic charr in Scotland. Through genome-wide association analyses, we found genomic regions associated with head shape (89 SNPs) or body shape (180 SNPs) separately and 50 of these SNPs were strongly associated with both body and head shape morphology. For each trait separately, only a small number of SNPs were shared across all ecomorph pairs (3 SNPs for head shape and 10 SNPs for body shape). Signs of selection on the associated genomic regions varied across pairs, consistent with evolutionary demography differing considerably across lakes. Using a comprehensive database of salmonid QTLs newly augmented and mapped to a charr genome, we found several of the head and body shape associated SNPs were within or near morphology QTLs from other salmonid species, reflecting a shared genetic basis for these phenotypes across species. Overall, our results demonstrate how parallel ecotype divergences can have both population-specific and deeply shared genomic underpinnings across replicates, influenced by differences in their environments and demographic histories.

Background: There remains limited knowledge about the immune response to severe acute respiratory syndrome coronavirus 2 (SARS-COV2) vaccination in pediatric oncology patients, which is essential to provide counseling and risk adaptation in this vulnerable population. The goal of this study was to understand immunogenicity after vaccination in pediatric oncology patients and determine if certain clinical factors impacted response. Methods: Patients 0-25 years of age with a diagnosis of cancer and actively receiving therapy were enrolled on study. We excluded patients who were completely vaccinated prior to their cancer diagnosis. Blood samples were collected pre-vaccination, as well as 2, 4-6, and 8-12 weeks after vaccination. Healthy children who were fully vaccinated enrolled as controls. Clinical data and complete blood counts around time of vaccination were collected. To study B and T cell immunity, we measured neutralizing antibodies by enzyme-linked immunoassay and interferon gamma secretion by enzyme-linked immunospot, respectively. Results: 26 patients enrolled on study, for which 11 were evaluable oncology patients and 7 were healthy controls. Adequate B cell response was seen in 36.4% of patients and adequate T cell response in 77.8% of patients. Numbers were too small to detect differences based on malignancy type. There was no differences in immunity based on absolute lymphocyte count (ALC) or intensity of therapy. Conclusion: Pediatric oncology patients have a suboptimal immune response to SARS-COV2 vaccination. Booster doses will be imperative to provide optimal protection against COVID-19, however blood counts may not be a useful guide to optimize the time of administration.

MANAGEMENT OF AN UNINTENTIONAL EXTRUSION OF INDUSTRIALIZED CALCIUM HYDROXIDE PASTE IN A MAXILLARY PREMOLARUnintentional Extrusion of Ca(OH)2

Rationale: Increasing demand for fish and seafood means that traceability of marine products is becoming ever more important for consumers, producers and regulators. Highly complex and globalised supply networks create challenges for verifying the claimed catch region. Atlantic cod is one of the most commercially important species in the northeast Atlantic. Several regional fisheries supply cod into the trade network, of which some are at more risk of overexploitation than others. Tools allowing retrospective testing of spatial origin for traded cod products would significantly assist sustainable harvesting of wild fish, reducing incentives for illegal fishing and fraud. Methods: Here we investigate whether stable isotope ratios of carbon, nitrogen and sulfur in muscle tissue can be used to identify the catch region of Atlantic cod ( Gadus morhua). We measured the isotopic composition of muscle tissue from 377 cod from ten known catch regions across the Northeast Atlantic and Northeast Arctic, and then applied three different assignment methods to classify cod to their region of most likely origin. The assignment method developed was subsequently tested using independent known-origin samples. Results: Individual cod could be traced back to their true origin with an average assignment accuracy of 70-79% and over 90% accuracy for certain regions. Assignment success rates comparable to those using genetic techniques were achieved when the same origin regions were selected. However, assignment accuracy estimated from independent samples averaged c25% overall. Conclusion: Stable isotope techniques can provide effective tools to test for origin in Atlantic cod. However not all catch regions are isotopically distinct. Stable isotopes could be used in conjunction with genetic techniques to result in higher assignment accuracy than could be achieved using either method independently. Assignment potential can be estimated from reference datasets, but estimates of realistic assignment accuracy require independently collected data.

Adolescents and young adults (AYAs) with cancer are a unique patient population in oncology. To better understand the current landscape of AYA cancer, an opt-in, secure online survey was offered to a general population of AYA patients and survivors. A 28-item online survey was designed for cancer patients and survivors diagnosed between the ages of 18 and 39 years. 590 patients registered and 447 (76%) completed the survey. This online survey was feasible and can serve as an effective method to survey the AYA cancer population.

Background/Aim: The present study aimed to develop detailed parameters for prediction of prognosis for patients with unresectable hepatocellular carcinoma (uHCC) receiving Atezolizumab plus Bevacizumab (Atez/Bev). Methods: Between September 2020 and January 2023, the patients treated with Atez/Bev were enrolled (n=719, males 577, median age 74 years). Factors involved in overall survival (OS) were extracted and a prognostic scoring system based on hazard ratio (HR) was created. OS and progression-free survival (PFS) were examined retrospectively, and the prognostic ability of the newly system was compared to CRAFITY score using concordance index (c-index) and Akaike Information Criterion (AIC) results. Results: Cox-hazards multivariate analysis showed BCLC classification C/D (HR 1.4; 1 point), AFP ≥100 ng/mL (HR 1.4; 1 point), mALBI 2a (HR 1.7; 1 point), mALBI 2b/3 (HR 2.8; 2 points), and DCP ≥100 mAU/mL (HR 1.6; 1 point) as significant factors. The assigned points were added and used for IMnunotherapy with AFP, BCLC staging, mALBI, and DCP evaluation (IMABALI-De) scoring. For IMABALI-De scores of 0/1/2/3/4/5, OS was not applicable (NA)/NA/26.11/18.79/14.07/8.32 months (P<0.001; AIC 2788.67, c-index 0.699), while for CRAFITY scores of 0/1/2, OS was 26.11/20.29/11.32 months (p<0.001; AIC 2864.54, c-index 0.606). PFS for those IMABALI-De scores was 21.75/12.89/9.18/8.0/5.0/3.75 months (P<0.001; AIC 5203.32, c-index 0.623) and for the CRAFITY scores was10.32/7.68/3.57 months (p<0.001; AIC 5246.61, c-index 0.574). IMABALI-De score had better AIC and c-index results as compared to CRAFITY score for both OS and PFS. Conclusion: The proposed IMABALI-De score may have a favorable prognostic predictive ability for uHCC patients with Atez/Bev.