Miracle-dz/UniFAR-FTUs huggingface dataset:
Severe cardiac events induced by combination immunotherapy in patients with cancer: a meta-analysis

Introduction The use of combined immunotherapy could increase non-severe and severe cardiac events in patients with cancer. To examine the occurrence of severe cardiac adverse events of combined immunotherapy compared to single immunotherapy, we analysed 4 electronic databases from inception to August 2021. Material and methods We selected randomized controlled trials (RCTs) comparing combined versus single immunotherapy, for the treatment of melanoma, oesophagogastric cancer, renal cell carcinoma, and non-small cell lung cancer. Pre-defined combined immunotherapy included monoclonal antibodies against programmed cell death 1 (PD-1 inhibitors) plus against cytotoxic T lymphocyte antigen 4 (CTLA-4 inhibitors) or against programmed cell death ligand 1 (PD-L1 inhibitors) plus CTLA-4 inhibitors. The pooled risk ratios (RR) with their 95% confidence intervals (CI) were estimated using a random-effects model. Results Four RCTs involving 1581 patients were included, with a follow-up time between 18 and 39 months. The use of combined immunotherapy in comparison with single immunotherapy was not associated with an increased risk of severe cardiac adverse events: acute coronary syndromes (RR = 1.76, 95% CI: 0.29–10.83, very low certainty of evidence (CoE)), myocardial infarction (RR = 3.93, 95% CI: 0.44–35.39, very low CoE), heart failure (RR = 2.99, 95% CI: 0.61–14.79, very low CoE), and atrial fibrillation (RR = 2.26, 95% CI: 0.62–8.16, very low CoE). Conclusions Our meta-analysis shows that the risk of severe cardiac adverse events with combined immunotherapy seems similar to single immunotherapy, but the evidence is very uncertain. Therefore, more RCTs with longer follow-ups and adequately powered to assess cardiac adverse events are needed to confirm these findings.
Antiracist supervision and training: bringing change to mental health care

ABSTRACT To serve our diverse communities, clinicians must understand how racism shapes the lives of racialized people, affecting physical and mental health. Legha’s (2023) antiracist approach is an accessible guide that clinical supervisors and trainees can implement to reduce racism in mental healthcare. Supervisors and trainees learn to work toward identifying racism, understanding how Whiteness has shaped clinical care and supervision, and dismantling oppressive practices within (and outside of) clinical settings. This commentary builds on Legha’s approach by offering additional perspectives and directions, such as addressing cultural competence at a deeper level, increasing awareness of inequities, and treating racial trauma.
Sustainable Morphing Matter: Design and Engineering Practices

Morphing matter that change shapes and properties in response to external stimuli have gained significant interests in material science, robotics, biomedical engineering, wearables, architecture, and design. Along with functional advances, there is growing pressure and interest in considering the environmental impact of morphing matter during its life cycle. The unique manufacturing and usage of morphing matter means that existing sustainable design frameworks and principles for general physical products may not apply directly. For example, manufacturing morphing matter often requires designing and predicting materials' behaviors over time, and using devices fabricated with morphing matter often involves harnessing renewable energy and self‐reconfiguration, which pose unique sustainability opportunities and challenges. This study reflects and summarizes the field's practice in sustainable manufacturing, transport, use, and end‐of‐life handling of morphing matter. The term “sustainable morphing matter” (SMM) is coined, suggesting that sustainability‐conscious factors can become an integral component of morphing matter. In addition, ways to apply sustainability‐conscious factors to augment the existing design pipeline of morphing matter are presented, and more quantitative and algorithmic‐level developments are needed to apply these factors rigorously to the design process.
Genotype by Environment Interaction on Early-Maturing and High-Yield Maize Hybrids

productivity in drylands in Indonesia. Trials of hybrid maize candidates in several locations and different seasons are highly needed to determine the stability of hybrid maize candidates prior to commercial release. The objectives of the research were: (1) to evaluate the performance of maize hybrids in several locations and different seasons; (2) to assess the stability of early-maturing and grain yield characteristics of genotypes evaluated in several locations and seasons; and (3) to determine hybrid maize candidates that can be released as new superior/elite varieties. The research was conducted at 14 research populations (7 different locations, 2 seasons). Each population was planted according to the randomized block design with 10 genotypes as treatments and 4 replicates, so 40 experiment units were obtained. Ten genotypes were tested: six hybrid maize candidates derived from a diallel cross with high yield potential and early-maturing traits (G1, G2, G3, G4, G5, G6) and 4 elite varieties as checks (G7 = SK, G8 = ANM, G9 = Pertiwi-x, and G10 = BISI-x). The combined analysis of variance (ANOVA) conducted on 10 genotypes and 14 research populations revealed that genotypes, environments (season, location, season x location), and interactions (genotype x season, genotype x location, genotype x season x location) significantly affect harvest age and grain yield per hectare (p < 0.01). G4 had an early harvest age (91.93 days) and grain yield per hectare above the average of all genotypes in all environments (8.71 ton ha-1), and was also declared stable based on three stability analyses: Finlay-Wilkinson, Eberhart-Russel, and AMMI. Thus, G4 is recommended as an elite hybrid maize variety with early-maturing, high-yield, stable, and broad adaptability traits. Doi: 10.28991/HEF-2023-04-01-05 Full Text: PDF
Edinburgh Research Explorer The immunopeptidome from a genomic perspective

Tumor antigens can emerge through multiple mechanisms, including translation of non-coding genomic regions. This non-canonical category of tumor antigens has recently gained attention; however, our understanding of how they recur within and between cancer types is still in its infancy. Therefore, we developed a proteogenomic pipeline based on deep learning de novo mass spectrometry to enable the discovery of non-canonical MHC class I– associated peptides (ncMAPs) from non-coding regions. Considering that the emergence of tumor antigens can also involve post-translational modifications, we included an open search component in our pipeline. Leveraging the wealth of mass spectrometry–based immunopeptidomics, we analyzed data from 26 MHC class I immunopeptidomic studies across 11 different cancer types. We validated the de novo identified ncMAPs, along with the most abundant post-translational modifications, using spectral matching and controlled their false discovery rate (FDR) to 1%. The non-canonical presentation appeared to be 5 times enriched for the A03 HLA supertype, with a projected population coverage of 54.85%. The data reveal an atlas of 8,601 ncMAPs with varying levels of cancer selectivity and suggest 17 cancer-selective ncMAPs as attractive therapeutic targets according to a stringent cutoff. In summary, the combination of the open-source pipeline and the atlas of ncMAPs reported herein could facilitate the identification and screening of ncMAPs as targets for T-cell therapies or vaccine development.
Causes and Consequences of Algal Blooms in the Tidal Fresh James River

We conducted monthly bioassay experiments to characterize light and nutrient use efficiency of phytoplankton communities from the chlorophyll-a maximum located in the tidal freshwater region of the James River Estuary. Bioassay results were interpreted in the context of seasonal and inter-annual variation in nutrient delivery and biomass yield using recent and longterm data. Bioassay experiments suggest that nutrient limitation of phytoplankton production has increased over the past 20 years coinciding with reductions in point source inputs and estuarine dissolved nutrient concentrations. Despite increasing nutrient stress, chlorophyll concentrations have not declined due to more efficient nutrient usage. Greater CHLa yield (per unit of N and P) may be due to feedback mechanisms by which the presence of toxin-producing cyanobacteria inhibits grazing by benthic and pelagic filter-feeders. Seasonal patterns in nutrient limitation indicate that phytoplankton in the James respond to variations in inflow concentrations of dissolved nutrients. This association gives rise to an atypical pattern whereby the severity of nutrient limitation diminishes with low discharge in late summer due to minimal dilution of local point sources inputs by riverine discharge. We suggest that this may be a common feature of estuaries located in proximity to urbanized areas.
Comparison of an image cytometry somatic cell count analyzer to a flow cytometry analyzer

Graphical Abstract Summary: This study compares the results of a benchtop somatic cell counter (LactiCyte HD, Page and Pedersen International Ltd., Hopkinton, MA) based on image cytometry with flow cytometry (Bentley SomaCount, Bentley Instruments, Chaska, MN). The counter utilizing image cytometry was analyzed at the full number of images (16) and half the number (8) allowed by the analyzer. The concordance correlation coefficient was 0.96 for both 16 and 8 images. Considering ≥200,000 cells/mL to be indicative of infection, the sensitivity and specificity of the LactiCyte HD at the full number of images were 92.0% and 91.7%, whereas the sensitivity and specificity of the analyzer at half the number of pictures were 92.0% and 85.7%, respectively. The coefficients of variation performed at 200,000 cells/mL were 11.7% and 24.8% when the analysis was carried out at full and half images, respectively.
A Prospective Observational Study on the Appraisal of Common Cause and Efficacy of Continuous Phototherapy in Patients with Neonatal Jaundice

Background: Neonatal jaundice is generally harmless, but high concentrations of unconjugated bilirubin may rarely cause kernicterus. Hyperbilirubinemia is the most common cause of neonatal readmission to the hospital, in the majority of cases. Aims: The study aims to determine incidence rate of neonatal jaundice as well as evaluate the commonest cause and determine the efficacy of continuous phototherapy. Study Design: A Prospective observational study. Place and Duration of Study: The study was conducted in Avis Ankura hospital for women and children. It is a well-recognized, authorized hospital where obstetrics and neonatal care is provided. The study was conducted between October 2018 to March 2019. Methodology: The study was conducted in Avis Ankura hospital for women and children. It is a well-recognized, authorized hospital where obstetrics and neonatal care is provided. A total of 162 neonates were considered. Informed consent was obtained from all the subject’s care takers. Subjects enrolled in the study were admitted in NICUs’. This study appraises the conventional cause of NNJ, evaluates the efficacy of continuous phototherapy and detects the phototherapy induced adverse reactions by using Naranjo’s causality assessment scale. Results: Among 162 patients, 94 patients (58%) were found to be males and 68 patients (42%) were found to be females. Low birth weight neonates (43.20%) were found to be more prone to neonatal jaundices. In this study, it was found that duration of phototherapy was longer in extremely low birth weight neonates (34 hours) in relation to birth weight and average duration of phototherapy. Based on the conventional cause, physiological cause (56.79%) was observed to be highest among other causes of neonatal jaundice. The short term adverse reactions due to phototherapy were identified using Naranjo’s Causality Assessment Scale. The TSB levels were increased before phototherapy (pre- treatment) and decreased after phototherapies (post-treatment) which were assessed by using American Academy of Pediatrics guidelines. Conclusion: From this study, it was concluded that males were more prone to develop neonatal jaundice when compared with females. Physiological jaundice contributes majority of cases among the total cases. The use of phototherapy was inversely related to gestational age and birth weight.
ODU Digital Commons ODU Digital Commons

The explainability of a model has been a topic of debate. Some research states explainability is unnecessary, and some ”white-box” models, such as regression models or decision trees, are inherently explainable. This paper conducts a multiple regression model analysis with highly correlated features to illustrate how the model’s explainability fails when dealing with complex data. In this case, trusting the model explanations can be problematic. The Shapley net effect technique, which helps determine the marginal contribution of the features, is employed to improve the model explainability and reveal more information about the prediction. The work concludes that explainability is necessary to avoid biased and erroneous conclusions in all circumstances, including simple models or even more apparent cases
The Servant Leadership Analysis and Work Motivation in Determining Organizational Commitment and Work Performance

Human Resources (HR) plays a significant function and is a valuable asset the company must own. This is so that goals can be achieved in an organization which HR actively participates in. Therefore, maximizing employees' contributions to the business's mission is crucial to maintain successful performance. In this study will conduct tests to clarify the role of servant leadership and work motivation in determining organizational commitment and work performance at PT. Telkom Access Denpasar. The sample for this study consisted of 45 respondents who were all permanent employees. With the use of the Smart-PLS program, the findings demonstrate that stronger servant leadership implementation can raise organizational commitment. In addition, it was found that employees who are motivated at work will increase their commitment to the organization. Work performance cannot be determined, either directly or indirectly, by the use of servant leadership. Other results are work motivation will rise achievement of work performance, either directly or indirectly through the mediation of organizational commitment. Meanwhile, organizational commitment can determine work performance improvement.
A CASE CONTROL STUDY USING RBC INDICES AND MENTZER INDEX FOR PREVALENCE OF IRON DEFICIENCY ANEMIA AMONG CHILDREN WITH FEBRILE SEIZURE

Background: (FS) Febrile Seizure is considered as mutual disease (childhood’s seizure) in almost 2 - 5 percent of children. Many studies have shown contradictory results about the link among iron deficiency anemia and febrile seizures. According to WHO iron deficiency anemia is defined as concentration of anemia below halt level (11 g/dl) among children age between 6-59 months. The major purpose to conduct this study is for iron deficiency anemia prevalence among febrile seizure children using Mentzer index and RBC indices. Material & Methods: It is a case control study in which a complete blood count of 6-60 months old admitted children having first febrile seizure to RC and VIMS from July 2022 to December 2022 was compared and done with children without FS (febrile seizure). Results: The results of this study show the demographic characteristic, laboratory characteristics and iron deficiency anemia among children of both groups (control and study group having febrile seizures). Out of 58 children, in 29 children with febrile seizures level of hemoglobin (11.12 vs 12.18), MCV (72.45 vs 76.50), RBC (4.768 vs 4.83), MCHC (32.05 vs 32.7), and Mentzer index (MCV. RBC) (15.37 vs 15.97). Conclusion: According to this study outcomes, anemiais considered as a crucial risk factor
Community-acquired versus hospital-acquired acute kidney injury in patients with acute exacerbation of COPD requiring hospitalization in China

Purpose Previous studies have described the incidence, risk factors, and outcomes for patients with acute exacerbations of COPD (AECOPD) developing acute kidney injury (AKI). However, little is known about the differences between community-acquired AKI (CA-AKI) and hospital-acquired AKI (HA-AKI) in patients with AECOPD. Thus, in this study, we compared prevalence, risk factors, and outcomes for these patients with CA-AKI and HA-AKI. Patients and methods This study was conducted from January 2014 to January 2017, and data from adult inpatients with AECOPD were analyzed retrospectively. A total of 1,768 patients were included, 280 patients were identified with CA-AKI and 97 patients were with HA-AKI. Results Prevalence of CA-AKI was 15.8% and that of HA-AKI was 5.5%, giving an overall AKI prevalence of 21.3%. Patients with CA-AKI had a higher prevalence of chronic kidney disease (CKD) and lower prevalence of chronic cor pulmonale than patients with HA-AKI. Risk factors for developing HA-AKI and CA-AKI were similar, such as being elderly, requirement for mechanical ventilation, and a history of coronary artery disease and CKD. Patients with HA-AKI were more likely to have stage 3 AKI and worse short-term outcomes. In comparison with patients with CA-AKI, those with HA-AKI were more likely to require non-invasive mechanical ventilation (31.3% versus 16.8%; P = 0.003) and had a longer duration of mechanical ventilation (11 days versus 8 days; P = 0.020), longer hospitalization (14 days versus 12 days; P = 0.038), and higher inpatient mortality (32.0% versus 13.2%; P < 0.001). Patients with HA-AKI had worse (multivariate-adjusted) inpatient survival than those with CA-AKI (hazard ratio, 1.7 [95% confidence interval, 1.03–2.81; P = 0.038] for the HA-AKI group). Conclusion AKI was common in patients with AECOPD requiring hospitalization. CA-AKI was more common than HA-AKI but otherwise demonstrated similar demographics and risk factors. Nevertheless, patients with HA-AKI had worse short-term outcomes.
Neural Machine Translation : A Comparison of MTH and DeepL at Swiss Post ' s Language Service

This paper presents a study conducted in collaboration with Swiss Post’s Language Service that aims to compare the performance of a generic neural machine translation system (DeepL) and a customised statistical machine translation system (Microsoft Translator Hub, MTH) in terms of post-editing effort and quality of the final translation for the language direction German-to-French. The results for automatic and human evaluations show that DeepL is overall better than MTH, but its quality is underestimated by the BLEU score. VOLKART, Lise, BOUILLON, Pierrette, GIRLETTI, Sabrina. Statistical vs. Neural Machine Translation: A Comparison of MTH and DeepL at Swiss Post’s Language Service. In: Proceedings of the 40th Conference Translating and the Computer. 2018. p. 145-150
Building Digital Leadership in the Public Sector - a literature Review

While digital leadership competencies have been recognized as key to succeed with digital transformation, there is a lack of a common understanding about what constitutes such competencies specifically in the public sector—a sector that faces particular challenges with digitally transforming. This structured literature review adds to the existing body of knowledge on digital leadership by synthesizing what is known about the required competencies of digital leaders in the public sector. Based on 25 relevant publications from different databases and disciplines, we identified 44 sub-competencies classified into seven categories of key competencies. In addition, several measures for digital leadership skill development and recruitment could be identified that help building these competencies. While researchers can use our findings to advance knowledge in this research area, practitioners in the public sector can apply our framework to assess their leadership competencies for the digital transformation.
Unicast Multicast Convergence in Cellular Networks : Supplementing FeMBMS with SDN and Dual Connectivity

—Handling the ever-growing data trafﬁc in mobile networks is a tremendously challenging problem, primarily due to the limited availability of radio resources. Supplementing unicast transmissions with the multicast transmission can signiﬁcantly improve radio resource utilization in mobile networks and help address this problem. Usage of multicast transmission may especially be useful for live streaming and on-demand video services, which constitute a signiﬁcant % of the burgeoning data trafﬁc. In this paper, we propose a novel SDN based architecture for uniﬁed control and management of unicast and multicast transmissions in the Fourth Generation (4G), Fifth Generation (5G) and beyond mobile networks. It brings signiﬁcant ﬂexibility to the selection of transmission mechanism (unicast or multicast) for individual users (UEs). We also propose an integrated scheme for radio resource allocation for unicast and multicast transmissions. The proposed scheme enables efﬁcient utilization of radio resources in the network while ensuring the required Quality of Service (QoS) to users.
The scale free and scale - bound properties of land surfaces: fractal analysis and specific geomorphometry from digital terrain models

The scale-bound view of landsurfaces, being an assemblage of certain landforms, occurring within limited scale ranges, has been challenged by the scale-free characteristics of fractal geometry. This thesis assesses the fractal model by examining the irregularity of landsurface form, for the self-affine behaviour present in fractional Brownian surfaces. Different methods for detecting self-affine behaviour in surfaces are considered and of these the variogram technique is shown to be the most effective. It produces the best results of two methods tested on simulated surfaces, with known fractal properties. The algorithm used has been adapted to consider log (altitude variance) over a sample of log (distances) for: complete surfaces; subareas within surfaces; separate directions within surfaces. Twenty seven digital elevation models of landsurfaces arc re-examined for self- affine behaviour. The variogram results for complete surfaces show that none of these are self-affine over the scale range considered. This is because of dominant slope lengths and regular valley, spacing within areas. For similar reasons subarea analysis produces the non-fractal behaviour of markedly different variograms for separate subareas. The linearity of landforms in many areas, is detected by the variograms for separate directions. This indicates that the roughness of landsurfaces is anisotropic, unlike that of fractal surfaces. Because of difficulties in extracting particular landforms from their landsurfaces, no clear links between fractal behaviour, and landform size distribution could be established. A comparative study shows the geomorphometric parameters of fractal surfaces to vary with fractal dimension, while the geomorphometry of landsurfaces varies with the landforms present. Fractal dimensions estimated from landsurfaces do not correlate with geomorphometric parameters. From the results of this study, real landsurfaces would not appear to be scale- free. Therefore, a scale-bound approach towards landsurfaces would seem to be more appropriate to geomorphology than the fractal alternative.
Nova Southeastern University

This article focuses on understanding corporate entrepreneurship and how intrapreneurs develop through the use of literature, an interview a corporate entrepreneur, and personal experiences of the authors on how a company can enhance its longevity and remain competitive by embracing entrepreneurship as an organizational value. The literature review identifies many of the benefits and challenges of corporate entrepreneurship, while an in-depth interview with an experienced intrapreneur provides insight into corporate entrepreneurship from the practitioner’s