Miracle-dz/UniFAR-FTUs huggingface dataset:
Choroidal thickness measurements in young Saudi adult population: a cross-sectional study.

AIM To determine the choroidal thickness (CT) in young healthy Saudi adults using spectral-domain optical coherence tomography (SD-OCT) with an automated CT segmentation software. METHODS Fifty-eight young adults (total of 116 eyes), 39 males and 19 females participated in this study between the ages of 18 and 38y (mean 22.65±3.9y). All participants underwent ophthalmic screening examination, including the SD-OCT for measurements of CT in each quadrant egmented into five eccentric regions starting from the foveal region up to 4.5 mm towards the periphery. RESULTS The choroid was thickest in the foveal region (central 1 mm, 300±60 µm) and began to progressively thinner beyond the parafovea (1.5-2.5 mm, 284±67 µm) towards the peripheral region (3.5-4.5 mm from the fovea, 254±83 µm). The superior choroid showed the thickest profile (309±57 µm), while the nasal choroid exhibited the thinnest (229±76 µm). The rate of the thinning with increasing eccentricity was more predominant in the nasal choroid, which thinned from the foveal region (294±58 µm) to the peripheral region (158±55 µm). The superior and inferior choroid did not show a statistically significant thinning with eccentricity (all P>0.05). There was no statistically significant difference in the CT between gender, age, and laterality of the eyes (all P>0.05). A significant association of myopia with thinner subfoveal choroid was observed (Pearson's, r=0.37), and regression analysis showed that a 10.3 µm choroidal thinning for each diopter increase of myopia. CONCLUSION CT profile depends on eccentric and the quadrant. The CT profile across the measured area in the young Saudi adult population is comparable to other previous reports. Refractive error is critical for CT evaluation.
Impacts of AI-Generated Confidence and Explanations on Task Performance and Trust in Human-autonomy Teaming

In human-autonomy teaming (HAT), human operators and intelligent agents cooperate and coordinate together to achieve shared goals. This study aimed to enhance autonomy transparency by proposing the automatic generation of confidence and explanations (bounding boxes, and bounding boxes and keypoints) and investigating their impacts in HAT. A total of 36 participants engaged in a simulated surveillance task, during which they were assisted by the intelligent agents we designed using Keypoint Faster R-CNN. As a result, we found that visual explanations using bounding boxes and keypoints improved detection task performance only when confidence was not visualized. Moreover, participants had higher trust in and preference for autonomy when visual explanations were provided but whether confidence was visualized did not influence their trust and preference. These findings have implications for the design of autonomy and can facilitate human-machine interactions in HAT.
Analysis of Forecasting Stock Prices Using CNN Model

: Creating a trading strategy and selecting the ideal time to purchase or sell stocks depends in large part on stock price expectations. This paper provides a CNN-based stock price time series forecasting method, which proves the optimality of the model by comparing the accuracy of different models, which provides a possible direction for the exploration of stock price forecasting. This paper first introduces the working principle of CNN, LSTM, and Conv1D, and then experiments are carried out by establishing a model, and finally the relevant conclusions are obtained. The experimental results show that the Trainscore RMSE, Train MAE, Testscore RMSE, Test MAE, and MAE of CNN has a smaller size. Thus, in comparison to the LSTM and Conv1D-LSTM, CNN is the model with the best efficiency and greatest accuracy in forecasting, which is more suitable for investors to predict future stock prices than LSTM and Conv1D-LSTM.
Does corporate governance and profitability effect on corporate social responsibility disclosure?

Trust has a role in establishing successful business relationships, companies must be able to meet the needs of stakeholders. So that corporate governance mechanisms are needed. The CSR disclosure is a form of corporate responsibility to the community and the environmental aspect. Corporate governance in this study is examined in four separate variables, namely the tenure of directors, board size, independent commissioners, and managerial ownership. This study also analyzes the effect the profitability in increasing CSR disclosure level. The sample is 54 observation collected from companies listed on the IDX using the purposive sampling method. Multiple linear regression analysis is used. The results prove that board size, independent commissioners and profitability are able to increase the company's motivation to disclose CSR. While the tenure of directors and managerial ownership are not able to motivate in disclosing CSR. For further research, is expected to examine the characteristics of audit committees, institutional ownership and the number of audit committee meetings.
Calibration of Sr/Ca Ratio and In Situ Temperature Using Hawaiian Corals

The Sr/Ca ratio of modern coral skeletons can record local seawater temperature (T) and is an important tool for reconstructing past environments. However, site‐specific calibrations are required to ensure accurate temperature reconstructions. Here, we examine three modern coral skeletons collected at contrasting sites on the island of Oahu, Hawaii to establish the first accurate calibrations for this region and investigate site specific influences on the calibration process. Satellite T data, which is used for many calibrations, may not be able to derive an accurate thermometer. For our shallow lagoonal sites, satellite T had smaller seasonal T ranges, which resulted in significantly higher slopes of Sr/Ca‐T compared to using in situ T. The traditional age model based on aligning only min/max values can lead to errors in the Sr/Ca‐T calibration due to variable growth rates. An enhanced age model which adds midpoint alignments between the min/max peak values can account for seasonal changes in growth rate and reduce the error. On the same island, site‐ and time period specific conditions can cause notable differences in the Sr/Ca‐T calibrations. The coral from an estuarine embayment showed a high Sr/Ca offset, likely due to high Sr/Ca in ambient seawater. For corals which experienced thermal stress, lower slopes were observed probably due to elevated Sr/Ca values during the period of thermal stress.
MSTL-Kace: Prediction of Prokaryotic Lysine Acetylation Sites Based on Multistage Transfer Learning Strategy

As one of the most important post-translational modifications (PTM), lysine acetylation (Kace) plays an important role in various biological activities. Traditional experimental methods for identifying Kace sites are inefficient and expensive. Instead, several machine learning methods have been developed for Kace site prediction, and hand-crafted features have been used to encode the protein sequences. However, there are still two challenges: the complex biological information may be under-represented by these manmade features and the small sample issue of some species needs to be addressed. We propose a novel model, MSTL-Kace, which was developed based on transfer learning strategy with pretrained bidirectional encoder representations from transformers (BERT) model. In this model, the high-level embeddings were extracted from species-specific BERT models, and a two-stage fine-tuning strategy was used to deal with small sample issue. Specifically, a domain-specific BERT model was pretrained using all of the sequences in our data sets, which was then fine-tuned, or two-stage fine-tuned based on the training data set of each species to obtain the species-specific BERT models. Afterward, the embeddings of residues were extracted from the fine-tuned model and fed to the different downstream learning algorithms. After comparison, the best model for the six prokaryotic species was built by using a random forest. The results for the independent test sets show that our model outperforms the state-of-the-art methods on all six species. The source codes and data for MSTL-Kace are available at https://github.com/leo97king/MSTL-Kace.
A condition for the zero-error capacity of quantum channels

In this paper, we present a condition for the zero-error capacity of quantum channels. To achieve this result we first prove that the eigenvectors (or eigenstates) common to the Kraus operators representing the quantum channel are fixed points of the channel. From this fact and assuming that these Kraus operators have at least two eigenstates in common and also considering that every quantum channel has at least one fixed point, it is proved that the zero-error capacity of the quantum channel is positive. Moreover, this zero-error capacity condition is a lower bound for the zero-error capacity of the quantum channel. This zero-error capacity condition of quantum channels has a peculiar feature that it is easy to verify when one knows the Kraus operators representing the quantum channel.
Modelling spatiotemporal variability in fires in semiarid savannas: a satellite-based assessment around Africa’s largest protected area

The relative importance of various drivers of fire regimes in savanna ecosystems can be location-specific. We utilised satellite-derived time-series burned area (2001–13) to examine how spatiotemporal variations in burned area and fire frequency were determined by rainfall, vegetation morphology and land use in semiarid savanna. Mean precipitation of the rainy season (Nov–Apr) had a strong and positive relationship with burned area in the following dry season (variance explained 63%), with the relationship being strongest inside protected areas (variance explained 73%). Burned area and fire frequency were higher in vegetation types with higher herbaceous cover, indicating a causal link between herbaceous load and fire. Among land use, fire frequency was highest in protected areas and lowest in farms and ranches. Spatial models (generalised linear models with Poisson and negative binomial distribution) accounting for spatial autocorrelation showed that land-use classes and vegetation types together explained approximately half of the deviance in null model (48%). Existence of fences and boreholes resulted in finer-scale spatial differences in fire frequency. There was minimal dependence of vegetation types on land-use classes in determining fire frequency (interaction between the two predictors was minimal). These results have significant implications for understanding drivers of fire activity in savanna ecosystems.
Assessing the Low Carbon Mode for Tourism Regions Based on an ANP Approach

A low carbon index for tourism regions would make it possible to measure progress towards a low carbon tourism region and support three important aspects of low carbon development:formulating policies for low carbon tourism regions and evaluating global impacts on the regions;enhancing dialogue and exchange of the best practice among tourism regions around the world;comparing development paths of various tourism regions and determining the gap between their current models so as to achieve a low carbon tourism.To that end,a commonly used index that can measure tourism region's progress towards a low carbon mode is needed.The low carbon tourism region evaluation index is based on the concept of carbon budget,accounting for the ecological limits for global CO2 emissions in order to mitigate adverse effects resulting from climate change.This study is based on literature investigation and analysis of low carbon communities and low carbon cities.We put forward an evaluation index of low carbon tourism regions.Experts from five fields,i.e.,low carbon architecture,landscape ecology,resources and energy resources,travel environment,and tourism planning were involved in the evaluation process.The index model comprise four aspects,i.e.,low carbon architecture,energy saving,tourism consume,and management and protection.The Analytic Network Progress(ANP) that is used to resolve this type of problems is used.This study provides suggestions for low carbon tourism region design and a theoretical basis and means to develop and manage low carbon tourism regions.
Evaluating the Perception of the National Health Insurance Enrollees' on the Function of Health Maintenance Organizations in the Implementation of the Scheme

he study discussed different types of National T Health Insurance Services in different countries of the world, the benefits and possible setbacks of Health Maintenance Organization's participation in the National Health Insurance Scheme, the impact of these NHS models of health care on users of the services, and the perceptions of enrollees on HMOs functions in the NHIS. The study made use of a quantitative method to collect data from the respondents. It employed a two-phase sampling design and stratified random sampling techniques in selecting respondents. It also captured data from a cross-sectional survey. Five HMOs were randomly selected from the twenty-five HMOs covering NHIS lives. Also, responses were obtained from a total of three hundred and eighty-four respondents working with eighteen public sector organizations in FCT, Abuja. The findings of this research showed that although the functions of HMOs in the scheme were not fully known to users of the scheme, users believed HMOs were working to ensure a successful implementation of the scheme and indicated that they were satisfied with the entire scheme, this, implying that HMOs were doing their jobs.
The Association between Proton Pump Inhibitors and the Effectiveness of CDK Inhibitors in HR+/HER- Advanced Breast Cancer Patients: A Systematic Review and Meta-Analysis

Simple Summary Proton pump inhibitors (PPIs) are frequently used in many patients with advanced breast cancer who are being treated with cyclin-dependent kinase inhibitors. In this study, our aim was to determine if there is an association between the use of PPIs and the effectiveness of cyclin-dependent kinase inhibitors, specifically Palbociclib and Ribociclib. We conducted a systematic review and meta-analysis through which to address this clinical question and found that the use of Palbociclib resulted in a lower survival rate for both overall and progression-free survival. However, the concurrent use of PPIs and Ribociclib did not lead to a decrease in the survival rates. Therefore, for cases in which advanced breast cancer patients require the use of PPIs, it may be reasonable to consider using Ribociclib. Abstract There have been many clinical questions regarding whether the use of proton pump inhibitors (PPIs) could deteriorate the effects of cyclin-dependent kinase inhibitors (CDKIs) in HR+/HER2- advanced breast cancer patients. We performed a systematic review and meta-analysis of this clinical question, including studies enrolling HR+/HER2- metastatic breast cancer patients treated with CDKIs (Palbociclib or Ribociclib) and reporting at least one comparative survival outcome, either overall survival (OS) or progression-free survival (PFS), between concomitant PPI users and non-users. Eight studies met the eligibility criteria, with a total of 2584 patients included (PPI users: 830, PPI non-users: 1754), demonstrating that concomitant PPI use was associated with significantly higher risks of all-cause mortality (HR = 2.03; 95% CI, 1.49 to 2.77; I2 = 0%) and disease progression (HR = 1.75; 95% CI, 1.26 to 2.43; I2 = 59%) in breast cancer patients taking Palbociclib. In contrast, there were no significant survival impacts of PPIs on Ribociclib (HR = 1.46; 95% CI, 0.91 to 2.34; I2 = 36%). Additionally, there was no significant difference in the risk associated with CDKI dose reduction due to drug toxicity (RR = 1.12; 95% CI, 0.97 to 1.29). Therefore, when HR+/HER2- advanced breast cancer patients require the use of PPIs, it may be reasonable to consider using Ribociclib.
Project AVIAN: Implications of Utilizing the Novel AVIAN-S Machine Learning Model in Analyzing Aviation Safety Event Reports

Voluntary Safety Reporting Programs (VSRPs) create an opportunity for actively identifying potential safety issues within aviation operations. However, manually reading and analyzing these reports can be labor-intensive and heavily relies on subject-matter experts. The full potential of VSRP data is difficult to achieve due to limited resources available to extract meaningful human factors (HF) data from reports. New machine learning (ML) techniques involving natural language processing (NLP) offer opportunities to label factors of interest within safety reports more efficiently and effectively. A novel ML model was developed to identify HF issues within aviation safety reports. The AVIAN-S model was trained on over 50,000 rows of manually classified VSRPs. The model uses ML and NLP to automate the process of labeling aviation safety reporting data and coding reporter narratives according to an established HF taxonomy. Preliminary results and implications for using the AVIAN-S model for analyzing aviation safety event reports are described.
Tiliroside Protects against Lipopolysaccharide-Induced Acute Kidney Injury via Intrarenal Renin–Angiotensin System in Mice

Tiliroside, a natural flavonoid, has various biological activities and improves several inflammatory diseases in rodents. However, the effect of Tiliroside on lipopolysaccharide (LPS)-induced acute kidney injury (AKI) and the underlying mechanisms are still unclear. This study aimed to evaluate the potential renoprotective effect of Tiliroside on LPS-induced AKI in mice. Male C57BL/6 mice were intraperitoneally injected with LPS (a single dose, 3 mg/kg) with or without Tiliroside (50 or 200 mg/kg/day for 8 days). Tiliroside administration protected against LPS-induced AKI, as reflected by ameliorated renal dysfunction and histological alterations. LPS-stimulated renal expression of inflammatory cytokines, fibrosis markers, and kidney injury markers in mice was significantly abolished by Tiliroside. This flavonoid also stimulated autophagy flux but inhibited oxidative stress and tubular cell apoptosis in kidneys from LPS-injected mice. Mechanistically, our study showed the regulation of Tiliroside on the intrarenal renin-angiotensin system in LPS-induced AKI mice. Tiliroside treatment suppressed intrarenal AGT, Renin, ACE, and Ang II, but upregulated intrarenal ACE2 and Ang1-7, without affecting plasma Ang II and Ang1-7 levels. Collectively, our data highlight the renoprotective action of Tiliroside on LPS-induced AKI by suppressing inflammation, oxidative stress, and tubular cell apoptosis and activating autophagy flux via the shift towards the intrarenal ACE2/Ang1-7 axis and away from the intrarenal ACE/Ang II axis.
Entrepreneurial Resilience in the Micro and Small Business Context – Systematic Literature Review

The topic of resilience is increasingly gaining momentum as the world shifts from a crisis to another. The operating environment for micro-enterprises has profoundly and irrevocably changed since the COVID-19 crisis’ landfall and war in Ukraine. This systematic literature review based on 36 papers, studies resilience from micro-entrepreneurship perspective focusing on resilience development, the process, and enhancing interventions from intra and interpersonal perspectives. The review indicates three different types of resilience domains: process-related (e.g. Ducheck 2017), individual capability (e.g. Demyen, S. 2022, Ducheck 2017) and resource-based (e.g. Bardoel & Drago, 2021). The connecting factor is that resilience is primarily developed in a learning process when facing challenging situations and crises. Building from those experience, the entrepreneur is more prepared to respond the next time.
Acceptance of Digital Transformation: Evidence from Romania

The digital transformation (DT) implies designing products and services, to which digital technology is applied, that are adopted and used by customers. However, if people do not accept the new technologies embedded in the innovative products and services, DT will fail. Therefore, getting to know the determinant factors that affect acceptance is necessary, especially during economic turmoil that requires companies to become even more competitive. Moreover, Romania is lagging behind in its digital progress. The aim of this research is to draw upon a previous study on successful DT, analyze personal and social acceptance factors, and empirically verify whether they would affect DT in Romania. We identified from the literature the main factors (behavioral and innovative characteristics) affecting the DT acceptance attitude and adapted the theoretical model to the Romanian context. The study collected data from 123 persons using an online questionnaire and applied a structural equation model to test the theoretical model. The empirical results emphasize that the acceptance attitude of DT is positively associated with individuals’ behavioral factors and innovative characteristics. Moreover, DT acceptance attitude positively impacts both personal and social acceptance of DT. This research provides both theoretical and empirical contributions by adapting the theoretical DT model and testing it for the Romanian context, using personal and social acceptance. These findings are important for managers and policy makers that seek to transform their organizations.
The impact of food management of matrinxã (Brycon amazonicus) (Spix & Agassiz, 1829) on zootechnical performance and the water quality in dugout nurseries

A concern for fish farming is the need to develop technologies, as they may provide greater weight gain, feed conversion improvement and impact minimization on water quality. Considering the importance of studies of this nature, this study aimed to evaluate the impacts of two types of food management: food supply with restriction, through of the use of the table corresponding to treatment 1 (T-1) and food supply ad libitum corresponding to treatment 2 (T-2), in cultivation of matrinxã (Brycon amazonicus). The zootechnical performance of the species and water quality were evaluated. For this, 626 homogeneous matrinxã fingerlings were stored, selected from the same batch, with an average weight of 2.8 to 3 grams, which were stored in 6 nurseries, with a density of 1.2 m2 for each fish, proportionally. Water analysis were carry out using the probe YSI-6600 multiparameter in situ and in laboratory. Results: For the zootechnical performance data obtained, such as Weight Gain (WG); Average Size (AS); Daily Weight Gain (DWG); Ration Consumption (RC) and Apparent Food Conversion (AFC), feeding management determined a significant difference for the (RC) and (AFC) with best result in (T-1). For water analysis data, the variables analysed remained within the conditions provided by CONAMA Resolution 357/2005 of the Brazil, except for soluble orthophosphate and total phosphorus. In conclusion, it is recommended that the food supply, with and scheduled feeding, and with a feeding frequency of twice to four times a day be used, depending on the stage of the cultivation's development.