Miracle-dz/UniFAR-FTUs huggingface dataset:
Saudi women’s leadership experiences in the healthcare sector: A qualitative study

Background Gender equality in the workforce and the promotion of woman leadership is critical to economic growth and the sustainable development of society and the global community. However, gender diversity in leadership positions is a concern as women continue to be underrepresented. Ensuring equal opportunities in leadership positions in the health sector can help advance the achievement of the sustainable development goals (SDGs). Purpose The aim of this study was to explore Saudi women’s perspectives and leadership experiences at senior-level positions in the healthcare sector. Methods A descriptive qualitative approach was adopted to address the study aim. This included nine semi-structured interviews with Saudi women who have held leadership positions in the health sector over the past ten years. Reflexive thematic analysis was conducted by adopting the six phases. Results The results showed that internal factors, such as qualifications, experience, and the innate qualities of a winner, are the most important factors that contribute to women’s leadership. Women’s role expectations, gender norms, and the patriarchal nature of the community have a negative impact on women’s leadership. One of the new findings of this study was negative attitudes and lack of support from female colleagues. Conclusion Women leaders in health care in Saudi Arabia share similarities and differences with women leaders around the world. However, the Saudi community has its own social norms and gender roles that cannot be denied. While Vision 2030 brought a number of positive changes in women’s empowerment that participants spoke of, more research is needed to explore men’s perceptions, which can complete the picture and lead to organizational improvement and changes.
Alternative platform-based market-entry models and strategies: a smart construction case study

Frame of the research. Despite the expanded research and innovation activities related to smart construction, there remains a lack of empirical studies on the emergence of platform businesses and related market-entry models and strategies. Thus far, studies have focused more on the technologies themselves and on the single-firm level but less on platform-based value compositions at the ecosystem level. Purpose of the paper . This study aimed to increase empirical understanding of the emergence of platform-based businesses from an ecosystem perspective and examine alternative market-entry models and strategies in smart construction. Methodology . The empirical study is based on a longitudinal qualitative and multimethod case study conducted in Finland between September 2020 and December 2021. Results . First, the results demonstrated the emergence of platform-based businesses from an ecosystem perspective and the co-design of related alternative market-entry models and strategies in smart construction. Second, five alternative platform-based entry models were classified with preferences among ecosystem actors. Furthermore, platform-based entry models seemed to embed several optional platform entry strategies. Third, the findings indicated the critical role of a clear visionary leader in orchestrating and facilitating a co-evolution process. Research limitations . This empirical study is based on a single case study in an ongoing co-evolution state. Although the findings are tentative, they may open avenues for further studies. Practical implications. This work provides a deeper understanding on the emergence and establishment of platform ecosystems in the field of smart construction. In particular, the adjusted conceptual frameworks may support ecosystem orchestrators and concerned actors when evaluating alternative market-entry models and strategies for further development. Originality of the paper. This paper brings new empirical insights into the identified research gaps by demonstrating the emergence of platform businesses and ecosystem actors who are co-designing alternative platform-based market entry models and strategies in smart construction.
The Predictive Value of Serum NT-proBNP on One-Year All-Cause Mortality in Geriatrics Hip Fracture: A Cohort Study

Objective This study evaluated the association between N-terminal prohormone of brain natriuretic peptide (NT-proBNP) concentration and one-year mortality in geriatric patients with intertrochanteric and femoral neck fractures receiving the operative treatment. Methods Consecutive age ≥65 years patients with hip fractures were screened between January 2015 and September 2019. Demographic and clinical characteristics of the patients were collected. The multivariate logistic regression models were used to identify the association between preoperative NT-proBNP concentrations and mortality. All analyses were performed using EmpowerStats and the R software. Result One thousand two hundred nineteen patients were included in the study. The average age was 79.73±6.65 years (range 66-99 years). The mean NT-proBNP concentration was 616.09±1086.85 ng/L (median 313.40 ng/L, range 16.09-20123.00 ng/L). The follow-up was 35.39±15.09 months (median 35.78 months, range 0.10-80.14 months). One hundred and eleven (9.1%) patients died within one year. After adjusting for confounding factors, multivariate logistic regression models showed a curved association between preoperative NT-proBNP concentration and one-year mortality. When the NT-proBNP concentration was below 1099 ng/L, the mortality increased by 10% (OR=1.10, 95%CI: 1.03-1.17, P=0.0025) when NT-proBNP increased by 100 ng/L. When the NT-proBNP concentration was above 1099 ng/L, the mortality did not increase anymore when NT-proBNP increased (OR=1.00, 95%CI: 0.99-1.02, P=0. 7786). Thus, NT-proBNP was a valuable indicator to predict high one-year mortality in practice. Conclusion The NT-proBNP concentrations were nonlinearly associated with mortality in elderly hip fractures with a saturation effect, and NT-proBNP was a risk indicator of all-cause mortality. A well-designed controlled trial to show the role of mortality by decreasing the concentration of NT-proBNP is needed in the future.
Shotgun metagenomics captures more microbial diversity than targeted 16S rRNA gene sequencing for field specimens and preserved museum specimens

The use of museum specimens for research in microbial evolutionary ecology remains an under-utilized investigative dimension with important potential. Despite this potential, there remain barriers in methodology and analysis to the wide-spread adoption of museum specimens for such studies. Here, we hypothesized that there would be significant differences in taxonomic prediction and related diversity among sample type (museum or fresh) and sequencing strategy (medium-depth shotgun metagenomic or 16S rRNA gene). We found dramatically higher predicted diversity from shotgun metagenomics when compared to 16S rRNA gene sequencing in museum and fresh samples, with this differential being larger in museum specimens. Broadly confirming these hypotheses, the highest diversity found in fresh samples was with shotgun sequencing using the Rep200 reference inclusive of viruses and microeukaryotes, followed by the WoL reference database. In museum-specimens, community diversity metrics also differed significantly between sequencing strategies, with the alpha-diversity ACE differential being significantly greater than the same comparisons made for fresh specimens. Beta diversity results were more variable, with significance dependent on reference databases used. Taken together, these findings demonstrate important differences in diversity results and prompt important considerations for future experiments and downstream analyses aiming to incorporate microbiome datasets from museum specimens.
Application of transformations for orthogonality

In the statistical analysis of multivariate data, principal component analysis is widely used to form orthogonal variables. Realizing the difficulties of interpreting the principal components, Garthwaite et al. (2012) proposed two transformations, each of which yield surrogates of the original variables. Recently, Garthwaite and Koch (2016) proposed a transformation that also produces orthogonal components and can be used to partition the contribution of individual variables to a quadratic form. The aim of this thesis is to discover and explore applications of these transformations. We consider bootstrap methods for forming interval estimates of the contribution of individual variables to a Mahalanobis distance and their percentages. New bootstrap methods are proposed and compared with the percentile, bias-corrected percentile, non-studentized pivotal, and studentized pivotal methods via a large simulation study. The new methods enable use of a broader range of pivotal quantities than with standard pivotal methods, including vector pivotal quantities. Both equal-tailed intervals and shortest intervals are constructed; the latter are particularly attractive when (as here) squared quantities are of interest. Using a transformation to orthogonality, new measures are constructed for evaluating the contribution of individual variables to a regression sum of squares. The transformation yields an orthogonal approximation of the columns of the predictor scores matrix. The new measures are compared with three previously proposed measures through examples, and the properties of the measures are examined. We consider one new procedure and two older procedures for identifying collinear sets. The new procedure is based on transformations that partition variance inflation factors into contributions from individual variables, and they provide detailed information about the collinear sets. The procedures are compared using three examples from published studies that addressed issues of multicollinearity.
Discounting of Hyper-Palatable Food and Money: Associations with Food Addiction Symptoms

Introduction: Delay discounting (DD), the tendency to prefer small, immediate rewards over larger, delayed rewards, is associated with health-risk behaviors. The study examined associations between DD for money and hyper-palatable foods (HPF) with food addiction (FA) symptoms among a general population sample. Methods: Participants (N = 296) completed an adjusting DD task that consisted of a single-commodity condition with HPF as the reward (HPF now vs. HPF later) and cross-commodity conditions comparing money and HPF (money now vs. HPF later; HPF now vs. money later). The Yale Food Addiction Scale 2.0 was used to assess FA symptoms. Zero-inflated negative binomial regression models tested whether discounting of HPF and money was associated with FA symptoms. Results: Findings indicated there were no significant associations between DD and FA symptoms in the single-commodity HPF condition (logit: OR = 1.02, p-value = 0.650; count: IRR = 1.04, p-value = 0.515). There were no significant associations among cross-commodity conditions comparing money now vs. HPF later (logit: OR = 0.96, p-value = 0.330; count: IRR = 1.02, p-value = 0.729) or conditions comparing HPF now vs. money later (logit: OR = 1.02, p-value = 0.682; count: IRR = 0.92, p-value = 0.128) and FA symptoms. Conclusions: Discounting HPF may not be a key behavioral feature among individuals who endorse FA symptoms.
Artificial intelligence to reduce misleading publications on social networks

In this paper we investigated about the potential problems occurring worldwide, regarding social networks with misleading advertisements where some authors applied some artificial intelligence techniques such as: Neural networks as mentioned by Guo, Z. , et. al, (2021), sentiment analysis, Paschen (2020), Machine learning, Burkov (2019) cited in Kaufman (2020) and, to combat fake news in front of such publications by social networks in this study were able to identify if these techniques allow to solve the fear that people feel of being victims of misleading news or fake videos without checking concerning covid-19. In conclusion, it was possible to detail in this paper that the techniques applied with artificial intelligence used did not manage to identify misleading news in a deep way. These techniques used are not real-time applications, since each artificial intelligence technique is separately, extracting data from the information of social networks, generating diagnoses without real-time alerts.
Factors Influencing Online Buying Intention among Royal Malaysian Police (RMP) Officers

Online buying has become a norm in Malaysia after the COVID-19 pandemic. It is one of the measures to cope with the rapid spread of the virus. Royal Malaysian Police (RMP) staff is not left behind in following the current trend. The present study is intended to determine the factors that influence them to engage in online buying although they are very busy ensuring public safety. Data was collected using online surveys distributed conveniently to the staff. After the lapse of the allocated data collection period, 150 responses were received and analyzed. Out of five factors that have been selected as the independent variables, only two are significant in influencing online buying intention among the RMP staff: attitude and perceived usefulness. Perceived ease of use, subjective norms, and perceived behavioral control did not significantly influence the online buying intention of RMP officers. The findings show that only those with the right attitude towards online buying and those who find online buying beneficial will pursue online purchases.
The potential use of Indian rice flour or husk in fortification of pan bread: assessing bread’s quality using sensory, physicochemical, and chemometric methods

Hassawi rice is an Indica variety cultivated in Saudi Arabia with a higher nutritional value than the commercial Basmati rice varieties. The present study has investigated the feasibility of combining Hassawi rice flour (HRF) or husk (HRHF), an abundant byproduct, with wheat flour to produce nutritious economical pan bread. To achieve this aim, the physicochemical properties of HRF and HRHF were assessed using techniques such as UPLC-tandem MS, ICP-OES, and colorimeter. The proximate composition (moisture, crude fiber, and ash) and mineral contents of HRHF are significantly (p < 0.05) higher than HRF. On the other hand, the compounds p-coumaric acid, vanillic acid, γ- and δ-tocotrienols, and γ-oryzanol were unique to HRF. We further determined the changes in sensory, technological, and physicochemical properties of wheat flour bread substituted with 5%, 10%, and 15% of HRF or HRHF. The rheological tests showed that the addition of HRF and HRHF increased dough development and stability time. Further, substituting wheat flour for HRF and HRHF at levels higher than 10% affected sensory attributes, such as color, taste, odor, flavor, and appearance. These changes, however, were not always at a significant level. The causes of the differences in properties between control and fortified bread samples were investigated by chemometric methods. Samples of bread + HRF at 5 and 10% had comparable overall profiles to the control. On the other hand, bread + HRHF samples proved to retain higher concentrations of bioactive molecules compared to the control bread. Our findings shed light on the possible use of rice husk fibers in baking goods, notably pan bread. Furthermore, by integrating rice husk fibers into baked goods, we may boost their health benefits while also contributing to the long-term use of agricultural waste.
A hypernetwork-based urn model for explaining collective dynamics

The topological characterization of complex systems has significantly contributed to our understanding of the principles of collective dynamics. However, the representation of general complex networks is not enough for explaining certain problems, such as collective actions. Considering the effectiveness of hypernetworks on modeling real-world complex networks, in this paper, we proposed a hypernetwork-based Pólya urn model that considers the effect of group identity. The mathematical deduction and simulation experiments show that social influence provides a strong imitation environment for individuals, which can prevent the dynamics from being self-correcting. Additionally, the unpredictability of the social system increases with growing social influence, and the effect of group identity can moderate market inequality caused by individual preference and social influence. The present work provides a modeling basis for a better understanding of the logic of collective dynamics.
FOREIGN CORRESPONDENCE FROM SUB-SAHARAN AFRICA: AN EVOLVING COMMUNICATIONAL PARADIGM SHIFT CORRESPONSALES EXTRANJEROS EN ÁFRICA SUBSAHARIANA: UN PARADIGMA COMUNICATIVO EN EVOLUCIÓN

A sizable portion of our everyday knowledge about Sub-Saharan Africa comes from the work of international news reporters. Even though these news actors play a critical role in the communication of the distant Other, frequently criticized for its representational deficits, scholar empirical research on the work of foreign correspondents has been considerably neglected: it is now decades old, it lacks a systematic examination of the on the ground realities of journalism in Africa and of the evolving work of professionals and Pro-Ams supported by networked digital media. This article analyses the evolving professional cultures and newswork of those individuals (micro). It inspects long-term trajectories in international journalism combined with short-term developments based on trans- formations on microelectronics and digitization. We conduct the first recorded Pan-African online survey on the work of international news reporters, collecting answers from 124 participants in 41 countries. These findings are complemented by semi-structured interviews with 43 professionals based in Nairobi, Dakar and Johannesburg. Our findings challenge the narrative of international news report- ing as a dying breed. Instead, they support a nuanced view towards localized conti- nuities and localized ruptures in contemporary post-industrial mediascape: its socio-demographics express a considerably precarious new economy of foreign correspondence - particularly, in the case of freelance workers - while the use of network-based digital media is driving the field towards the rising of a multilayered confederacy of distinct correspondences. Keywords: Foreign correspondent; international news reporting; multidimensional network of correspondences; networked journalism; pro-am; social media.
Predictive performance of renal resistive index, semiquantitative power Doppler ultrasound score and renal venous Doppler waveform pattern for acute kidney injury in critically ill patients and prediction model establishment: a prospective observational study

Abstract Background This study aimed to explore the performance of renal resistive index (RRI), semiquantitative power Doppler ultrasound (PDU) score and renal venous Doppler waveform (RVDW) pattern in predicting acute kidney injury (AKI) in critically ill patients and establish prediction models. Methods This prospective observational study included 234 critically ill patients. Renal ultrasound was measured within 24 h after intensive care unit admission. The main outcome was the highest AKI stage within 5 days after admission according to the Kidney Disease Improving Global Outcomes criteria. Results Patients in the AKI stage 3 group had significantly higher RRI, RVDW pattern and lower PDU score (p < 0.05). Only lactate, urine volume, serum creatinine (SCr) on admission, PDU score and RVDW pattern were statistically significant predictors (p < 0.05). Model 1 based on these five variables (area under the curve [AUC] = 0.938, 95% confidence interval [CI] 0.899–0.965, p < 0.05) showed the best performance in predicting AKI stage 3, and difference in AUC between it and the clinical model including lactate, urine volume and SCr (AUC = 0.901, 95% CI 0.855–0.936, p < 0.05) was statistically significant (z statistic = 2.224, p = 0.0261). The optimal cut-off point for a nomogram based on Model 1 was ≤127.67 (sensitivity: 95.8%, specificity: 82.3%, Youden’s index: 0.781). Conclusions The nomogram model including SCr, urine volume, lactate, PDU score and RVDW pattern upon admission exhibited a significantly stronger capability for AKI stage 3 than each single indicator and clinical model including SCr, urine volume and lactate.
Lysosomal cholesterol overload in macrophages promotes liver fibrosis in a mouse model of NASH

Lysosomal cholesterol overload triggers phenotypic changes and profibrotic activation of macrophages around dead hepatocytes containing cholesterol crystals in the development of NASH. Cholesterol excretion from macrophages using β-cyclodextrin polyrotaxane, which is designed to release β-cyclodextrin in lysosomes, alleviates liver fibrosis.
Systematic Critical Review of Genetic Factors Associated with Cisplatin-induced Ototoxicity: Canadian Pharmacogenomics Network for Drug Safety 2022 Update

Supplemental Digital Content is Available in the Text. Background: Cisplatin is commonly used to treat solid tumors; however, its use can be complicated by drug-induced hearing loss (ie, ototoxicity). The presence of certain genetic variants has been associated with the development/occurrence of cisplatin-induced ototoxicity, suggesting that genetic factors may be able to predict patients who are more likely to develop ototoxicity. The authors aimed to review genetic associations with cisplatin-induced ototoxicity and discuss their clinical relevance. Methods: An updated systematic review was conducted on behalf of the Canadian Pharmacogenomics Network for Drug Safety, based on the Preferred Reporting Items for Systematic reviews and Meta-Analyses 2020 statement. Pharmacogenomic studies that reported associations between genetic variation and cisplatin-induced ototoxicity were included. The evidence on genetic associations was summarized and evaluated, and knowledge gaps that can be used to inform future pharmacogenomic studies identified. Results: Overall, 40 evaluated reports, considering 47 independent patient populations, captured associations involving 24 genes. Considering GRADE criteria, genetic variants in 2 genes were strongly (ie, odds ratios ≥3) and consistently (ie, replication in ≥3 independent populations) predictive of cisplatin-induced ototoxicity. Specifically, an ACYP2 variant has been associated with ototoxicity in both children and adults, whereas TPMT variants are relevant in children. Encouraging evidence for associations involving several other genes also exists; however, further research is necessary to determine potential clinical relevance. Conclusions: Genetic variation in ACYP2 and TPMT may be helpful in predicting patients at the highest risk of developing cisplatin-induced ototoxicity. Further research (including replication studies considering diverse pediatric and adult patient populations) is required to determine whether genetic variation in additional genes may help further identify patients most at risk.