Miracle-dz/UniFAR-FTUs huggingface dataset:
Transforming ‘Bonito del Norte’ Tuna By-Products into Functional Ingredients for Nutritional Enhancement of Cereal-Based Foods

The fishing industry produces a significant number of by-products. This study explored two methods of transforming these by-products: fish protein hydrolysate (FPH) and Fishmeal (FM). Physicochemical characterization of these products was conducted and their potential inclusion in biscuits was investigated due to the lack of high biological value protein and polyunsaturated fatty acids of this product. The results identified colour disparities between FPH and FM, with FM displaying lower brightness and a more reddish hue. In FPH, there was also a noticeable decrease in polyunsaturated fatty acids, probably associated with the temperature reached in spray-drying. While the incorporation of these by-products in biscuits was feasible, there were challenges, particularly the fishy taste and rancid odour, which were more pronounced in FM biscuits due to the higher fat content. This correlated with the oxidation indexes, such as TBARS and acidity index. Nonetheless, FPH biscuit attributes like typical colour or flavour received positive feedback, attributed to the Maillard reaction. Scanning electron microscopy revealed microstructural differences, which correlated with the results of hardness and fracturability, probably due to the higher fat content in FM. This study revealed the possibility of nutritionally enriching cookies with ingredients derived from fish by-products. However, it would be necessary to go a step further and study alternatives that allow better preservation of saturated fatty acids.
The effect of lockout and last drinks laws on non-domestic assaults in Sydney: an update to September 2016

Aims: To assess the longer-term effects of the 2014 NSW liquor law reforms on levels of violence in the inner Sydney area. Method: Interrupted time series models were used to examine the effects of the legislative reforms introduced in January 2014. Police recorded non-domestic assaults were analysed over the period January 2009 and September 2016. Separate analyses were carried out for the Kings Cross Precinct (KXP); the Sydney CBD Entertainment Precinct (CBD); an area contiguous with KXP and CBD called the proximal displacement area (PDA); a group of entertainment areas not far from KXP and CBD called the distal displacement area (DDA) and the rest of NSW. Results: Following the reforms statistically significant reductions in non-domestic assault incidents occurred in both the Kings Cross (down 49%) and CBD Entertainment Precincts (down 13%). There was evidence of geographical displacement to surrounding areas with increases in non-domestic assault observed in both the PDA (up 12%) and the DDA (up 17%). The reduction in the combined Kings Cross and CBD Precincts (930 fewer non-domestic assaults) was much greater than the increase in the combined proximal and displacement areas (299 more non-domestic assaults). Conclusion: Restrictions on the availability of alcohol appear to have reduced non-domestic assault in the target Precincts. Continued research is needed to monitor if displacement of these assaults increases further.
Volume change behaviour of mixtures of coarse coal reject and tailings

Co-disposal of fine-grained wastes or tailings and coarse-grained wastes or coarse reject generated on the processing of the run-of-mine coal, offers potential economic, geotechnical and environmental advantages over conventional separate disposal practices. To evaluate the compressibility behaviour and performance of coarse reject, tailings and mixtures of coarse reject and tailings, laboratory compression testing was performed in a large, purpose-built consolidometer on scalped clay mineralrich coarse reject, on tailings slurry, and on combined scalped coarse reject and tailings at two dry mass ratios of 6:1 and 3:1 (coarse reject to tailings). In this paper, the results of the compression testing on the specimens are compared and the settling and compressibility behaviour of the tailings slurry, effect of mixture ratio and scalping on the permeability and compressibility of the mixtures are discussed. The results of this investigation can assist in coal washery waste management, through the improved understanding of the geotechnical behaviour of codisposed coal washery wastes.
A Systematic Literature Review of AI-Based Software Requirements Prioritization Techniques

Software requirements show what the customer desires his software to do. They are the first stepping stone towards a successful software development project. With the increasing complexity of the software due to its size and feature base, it is vital to prioritize the requirements for efficient utilization of development resources. To achieve this, industrial organizations are devising new strategies and improved solutions even with the help of artificial intelligence (AI) tool set. Existing requirements prioritization techniques are human-intensive and suffer from several limitations like overlapping outcomes, scalability problems, time consumption, inaccuracy, and so on. Some of the problems can be solved by including artificial intelligence algorithms and strategies. Several AI-based requirements prioritization techniques have been proposed by applying Genetic Algorithms, Fuzzy Logic, Ant Colony Optimization, and Machine Learning. Literature witnesses some good review studies and surveys on conventional prioritization techniques but there exists none for AI-based techniques that identify not only their strengths but also their weaknesses, advantages of machine learning techniques over other AI-based requirements prioritization techniques, and limitations of applying AI-based techniques in requirements prioritization. This study presents a systematic literature review (SLR) of AI-based requirements prioritization approaches covering 46 papers published from 2000 to 2021. We have given this literature review a new dimension by conducting a parametric analysis of AI-based requirements prioritization techniques and we have identified these parameters after a thorough literature study. Some of the chosen parameters are generic (related to the prioritization process) and some are specific (related to AI techniques). This study has greatly helped us draw a clear line among AI-based techniques to show their domain of application to gain maximum advantage. Our findings will assist researchers, requirement analysts, and other stakeholders in making a wise decision to select the best requirements prioritization technique to gain optimal results.
An Error Estimation System for Close-Range Photogrammetric Systems and Algorithms

Close-range photogrammetry methods are widely used for non-contact and accurate measurements of surface shapes. These methods are based on calculating the three-dimensional coordinates of an object from two-dimensional images using special digital processing algorithms. Due to the relatively complex measurement principle, the accurate estimation of the photogrammetric measurement error is a non-trivial task. Typically, theoretical estimations or computer modelling are used to solve this problem. However, these approaches cannot provide an accurate estimate because it is impossible to consider all factors that influence the measurement results. To solve this problem, we propose the use of physical modelling. The measurement results from the photogrammetric system under test were compared with the results of a more accurate reference measurement method. This comparison allowed the error to be estimated under controlled conditions. The test object was a flexible surface whose shape could vary smoothly over a wide range. The estimation of the measurement accuracy for a large number of different surface shapes allows us to obtain new results that are difficult to obtain using standard approaches. To implement the proposed approach, a laboratory system for the error estimation of close-range photogrammetric measurements was developed. The paper contains a detailed description of the developed system and the proposed technique for a comparison of the measurement results. The error in the reference method, which was chosen to be phasogrammetry, was evaluated experimentally. Experimental testing of the stereo photogrammetric system was performed according to the proposed technique. The obtained results show that the proposed technique can reveal dependencies that may not be detected by standard approaches.
The Role of the Management Control System in Supporting ESG-Focused Transformation in Financial Intermediaries: A Case Study of an Italian Bank

This paper investigates how environmental, social and governance (ESG) issues are declined within the management control system (MCS), focusing on an Italian bank. Deepening the role that management control tools can play in supporting banks in facing the challenges posed by the ESG-focused transformation is pivotal. This is even more important if considering that national and international supervisors are engaged in disseminating a series of initiatives to promote the adoption of practices focused on sustainability issues among intermediaries: on this topic, for example, in April 2022, the Bank of Italy issued a first document of Supervisory Expectations on Climate and Environmental Risks, containing non-binding indications regarding the integration of climate and environmental risks into governance and control systems, business model and corporate strategy, organizational system and operational processes, in the risk management system and in the market disclosure of supervised banking and financial intermediaries. Due to the explorative nature of this research, the work is based on the qualitative analysis of an in-depth case study (Eisenhardt & Graebner, 2007; Miles et al., 2014). The selected case is an Italian bank with many recognitions over time about its engagement on ESG-focused transformation. Our investigation aims to deepen the role of MC tools in promoting sustainable development and realizing economic, social, and environmental purposes. This study can be considered original for two reasons. First, it contributes to extending the literature regarding the role of MCS in supporting the implementation of sustainable strategies, with a focus on banks. Second, it unveils the benefits and critical areas of the MCS in sustainable-oriented management.
Trace Metal Fluxes of Cd, Cu, Pb and Zn From the Congo River Into the South Atlantic Ocean Are Supplemented by Atmospheric Inputs

The Congo River supplies vast quantities of trace metals (TMs) to the South Atlantic Ocean, but TM budgets for the Congo plume derived using radium isotopes for GEOTRACES cruise GA08 suggest additional input other than the river outflow. Considering the tight correlations between most dissolved TMs and salinity in the plume and the high rainfall during the wet season over the Congo shelf, we hypothesized that wet atmospheric deposition is a TM source to the Congo plume. Observed TM concentrations in rainwaters across the Congo shelf were mostly comparable to values from previous work in the North Atlantic and Mediterranean Sea. Wet deposition contributed the equivalent of 43% dCd, 21% dCu, 20% dPb and 68% dZn of the Congo River fluxes. Our findings show an important role of wet deposition in supplying TMs to the South Atlantic overlapping with the region that receives substantial TM fluxes from the Congo River.
Production of the Anticancer Compound Withaferin A from Genetically Transformed Hairy Root Cultures of Withania Somnifera

Withanolides (WTDs), well-known medicinally important compounds of Withania somnifera, including the anticancer compound withaferin A (WFA), are biosynthesized from their dedicated precursor squalene. Condensation of farnesyl pyrophosphate (FPP) molecules to produce squalene is catalyzed by squalene synthase (SQS). In the present study, the Arabidopsis thaliana squalene synthase gene (AtSQS1) was transformed in W. somnifera by Agrobacterium tumefaciens C58C1 (pRiA4). The AtSQS1 gene was detected in 87.88 % of induced transformed hairy roots (THRs). The results showed that the growth index (GI) of THRs after five weeks of culture was 2-fold higher than that of adventitious hairy roots (AHRs). The biomass doubling time of THRs and AHRs was 18 and 30 days, respectively. Quantitative evaluation of WFA in the studied roots showed that THRs contain 1.51-fold more WFA (330±0.87μg g−1 dry weight (DW)) than AHRs (218±0.17μg g−1 DW). These findings can be used for the production of WFA as a valuable anticancer compound through controlled and scaled up cultures of W. somnifera THRs.
Modeling and Alignment Algorithms of Multiple Sensors for the Wearable Human Respiration Monitoring System

The health condition can be reflected by human respiration monitoring, which requires the cooperation of various sensors including flow and concentration sensors. Based on the signal characteristics of the respiratory process, several modeling methods were used to reduce measurement error and improve response speed. The autoregressive exogenous (ARX) model resulted in smoother data from the turbine flowmeter and enabled 96.2% of tests to have an error of less than 3%. Wiener filtering significantly reduced the response time of the gas concentration sensors. The response time was shortened from 140 to 100 ms for the CO2 sensor, and from 220 to 100 ms for the O2 sensor. The end-tidal gas concentration characteristics were used to perform an alignment criterion between the different sensors to calculate end-tidal oxygen (FETO2) and end-tidal carbon dioxide (FETCO2) in comparison to Cosmed K5, which shows clinically insignificant differences according to the Bland–Altman analysis. This article provides a comprehensive modeling approach for the breath-by-breath (BBB) respiratory measurement method, enhancing the system’s performance through sensor modeling and sensor signal alignment. Results indicate potential for practical application and scalability, offering an effective reference for similar systems.
Adaptation and validation of the financial stress scale in social conflict contexts: a study conducted with small and medium-sized Peruvian entrepreneurs

Introduction Social conflicts have repercussions on the mental health of the economically active population. Objective To adapt and validate the Financial Stress Scale in the context of social conflicts (ESECPS). Method An instrumental study involving 2,242 owners of small and medium enterprises (50.9% women), aged between 18 and 74 years old, selected through a non-probabilistic purposive sampling. The participants were recruited across three regions of Peru during periods of protests and strikes against the incumbent Peruvian government. The instrument for adaptation was the financial stress scale EFEmp-Cov19, created in the context of the COVID-19 pandemic’s impact. Results All items proved to be clear, relevant, and representative (V > 0.70). Exploratory Factor Analysis (EFA) revealed the existence of one underlying factor across the 11 items (KMO = 0.962, Bartlett = 5434.3; df = 55; p < 0.001). However, for Confirmatory Factor Analysis (CFA), items 4 and 11 were removed, resulting in support for a unidimensional model with 9 items (χ2 = 262.73, df = 23, p < 0.001; RMR = 0.022; TLI = 0.972; CFI = 0.980; and RMSEA = 0.072). Regarding reliability, a very high value was found (ω = 0.92). Conclusion The ESECPS demonstrates adequate psychometric properties, making it a suitable measure to assess financial stress among Peruvian entrepreneurs facing economic instability and financial threats in the context of social conflicts.
Nutritional Status, Intentions and Motivations towards Adopting a Planetary Health Diet—A Cross-Sectional Study

The planetary health diet is a proposition of a diet that is healthy for both people and the environment. The aim of this study was to investigate the nutritional behaviours among people who follow the planetary health diet and those who do not and assess the source of motivation that drives a willingness to follow sustainable diet guidelines. Using a self-administered questionnaire, data were collected from Polish adult volunteers. For analysis, respondents were divided into the following two groups: those following a planetary health diet (PD) and those who were not (O). Of the 216 respondents, 39.4% followed the PD. Non-adherence to the PD was linked to a higher prevalence of overweight and obesity. Taste was the most important factor for both groups during grocery shopping. However, sustainable agriculture and the health benefits of products were significantly more important for the PD followers. It can be concluded that adherence to the planetary diet is associated with lower body mass. This highlights the need for increased awareness and education about a diet’s health benefits and environmental impact.
An Intra-Individual Comparison of Low-keV Photon-Counting CT versus Energy-Integrating-Detector CT Angiography of the Aorta

This retrospective study aims to provide an intra-individual comparison of aortic CT angiographies (CTAs) using first-generation photon-counting-detector CT (PCD-CT) and third-generation energy-integrating-detector CT (EID-CT). High-pitch CTAs were performed with both scanners and equal contrast-agent protocols. EID-CT employed automatic tube voltage selection (90/100 kVp) with reference tube current of 434/350 mAs, whereas multi-energy PCD-CT scans were generated with fixed tube voltage (120 kVp), image quality level of 64, and reconstructed as 55 keV monoenergetic images. For image quality assessment, contrast-to-noise ratios (CNRs) were calculated, and subjective evaluation (overall quality, luminal contrast, vessel sharpness, blooming, and beam hardening) was performed independently by three radiologists. Fifty-seven patients (12 women, 45 men) were included with a median interval between examinations of 12.7 months (interquartile range 11.1 months). Using manufacturer-recommended scan protocols resulted in a substantially lower radiation dose in PCD-CT (size-specific dose estimate: 4.88 ± 0.48 versus 6.28 ± 0.50 mGy, p < 0.001), while CNR was approximately 50% higher (41.11 ± 8.68 versus 27.05 ± 6.73, p < 0.001). Overall image quality and luminal contrast were deemed superior in PCD-CT (p < 0.001). Notably, EID-CT allowed for comparable vessel sharpness (p = 0.439) and less pronounced blooming and beam hardening (p < 0.001). Inter-rater agreement was good to excellent (0.58–0.87). Concluding, aortic PCD-CTAs facilitate increased image quality with significantly lower radiation dose compared to EID-CTAs.
The Influence of Taiwanese Parenting Style on Adolescent Mental Health and Academic Performance

Using a nationally representative sample of 16,178 9th grade students from the Taiwan Educational Panel Survey (TEPS), this study examines the relationships among parenting styles, adolescent mental health, and adolescent academic performance and distinguishes between two key dimensions of parenting styles (support vs. control), paternal and maternal styles, as well as outcomes between boys and girls. Results of multi-group structural equation modeling demonstrate that paternal and maternal support were related positively and significantly to the mental health of both sons and daughters as well as their academic performance. Paternal and maternal control were negatively associated with the mental health of both sons and daughters. Paternal control was negatively associated with the academic performance of both sons and daughters. However, maternal control was found to be positively related to the academic performance of sons, but this effect was not significant for mother-daughter dyads. Finally, similar to other studies using TEPS data, mental health status was negatively associated with the academic performance of both sons and daughters. The negative relationship between adolescent mental health and academic performance indicates the need to emphasize the impact of excessive academic pressure on Taiwanese adolescent mental health.
Simultaneous Increases in Intracellular Sodium and Tonicity Boost Antimicrobial Activity of Macrophages

Inflamed and infected tissues can display increased local sodium (Na+) levels, which can have various effects on immune cells. In macrophages, high salt (HS) leads to a Na+/Ca2+-exchanger 1 (NCX1)-dependent increase in intracellular Na+ levels. This results in augmented osmoprotective signaling and enhanced proinflammatory activation, such as enhanced expression of type 2 nitric oxide synthase and antimicrobial function. In this study, the role of elevated intracellular Na+ levels in macrophages was investigated. Therefore, the Na+/K+-ATPase (NKA) was pharmacologically inhibited with two cardiac glycosides (CGs), ouabain (OUA) and digoxin (DIG), to raise intracellular Na+ without increasing extracellular Na+ levels. Exposure to HS conditions and treatment with both inhibitors resulted in intracellular Na+ accumulation and subsequent phosphorylation of p38/MAPK. The CGs had different effects on intracellular Ca2+ and K+ compared to HS stimulation. Moreover, the osmoprotective transcription factor nuclear factor of activated T cells 5 (NFAT5) was not upregulated on RNA and protein levels upon OUA and DIG treatment. Accordingly, OUA and DIG did not boost nitric oxide (NO) production and showed heterogeneous effects toward eliminating intracellular bacteria. While HS environments cause hypertonic stress and ionic perturbations, cardiac glycosides only induce the latter. Cotreatment of macrophages with OUA and non-ionic osmolyte mannitol (MAN) partially mimicked the HS-boosted antimicrobial macrophage activity. These findings suggest that intracellular Na+ accumulation and hypertonic stress are required but not sufficient to mimic boosted macrophage function induced by increased extracellular sodium availability.