Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of High-Pressure Processing (HPP) on Listeria monocytogenes—An Overview of Challenges and Responses

High-pressure processing (HPP) is currently one of the leading methods of non-thermal food preservation as an alternative to traditional methods based on thermal processing. The application of HPP involves the simultaneous action of a combination of several factors—pressure values (100–600 MPa), time of operation (a few–several minutes), and temperature of operation (room temperature or lower)—using a liquid medium responsible for pressure transfer. The combination of these three factors results in the inactivation of microorganisms, thus extending food shelf life and improving the food’s microbiological safety. HPP can provide high value for the sensory and quality characteristics of products and reduce the population of pathogenic microorganisms such as L. monocytogenes to the required safety level. Nevertheless, the technology is not without impact on the cellular response of pathogens. L. monocytogenes cells surviving the HPP treatment may have multiple damages, which may impact the activation of mechanisms involved in the repair of cellular damage, increased virulence, or antibiotic resistance, as well as an increased expression of genes encoding pathogenicity and antibiotic resistance. This review has demonstrated that HPP is a technology that can reduce L. monocytogenes cells to below detection levels, thus indicating the potential to provide the desired level of safety. However, problems have been noted related to the possibilities of cell recovery during storage and changes in virulence and antibiotic resistance due to the activation of gene expression mechanisms, and the lack of a sufficient number of studies explaining these changes has been reported.
Populations dynamics and secondary production of the spionid polychaete Prionospio caspersi in front of the Po River Delta

Dynamique de population et production secondaire du Spionide Prionospio caspersi Laubier, 1962 face au delta du Po. Une population de Prionospio caspersi a ete echantillonnee pendant un cycle annuel, par carrotages dans les fonds meubles infralittoraux face au delta du Po. L'abondance, la biomasse et la microdistribution ont ete mesurees, ainsi que quelques parametres du milieu. L'abondance maximale (16.094 individus m −2 ) a ete enregistree en septembre; elle a ete suivie par une chute tres rapide au mois d'octobre. L'analyse des histogrammes de distribution des tailles a ete utilisee pour l'estimation de la production secondaire (somatique) par deux methodes differentes
A Game-based Nutrition Education: Teaching Healthy Eating to Primary School Students

Ad dress for Cor res pon den ce Hatice Uzşen MD, Ege University Faculty of Medicine, Department of Pediatric Nursing, İzmir, Turkey Phone: +90 539 820 63 41 E-mail: hatice_uzsen35@hotmail.com ORCID ID: orcid.org/0000-0001-9873-5088 Re cei ved: 08.02. 2018 Ac cep ted: 13.08. 2018 This research was presented at International Multidisciplinary Congress of Eurasia in Rome at 23-25 August. Ege University Faculty of Medicine, Department of Pediatric Nursing, İzmir, Turkey Hatice Uzşen, Zümrüt Didar Başbakkal
In Vitro Activity and Atom Pair Fingerprint Analysis of Potent Hits from Malaria Box against Staphylococcus aureus Isolated from Cows with Clinical Mastitis

Staphylococcus aureus (S. aureus) is one of the most prevalent contagious bacterial pathogens causing clinical bovine mastitis. In the present study, plate (A), which consists of 80 compounds (40 drug-like and 40 probe-like), was assessed from the Malaria Box against the in vitro growth of S. aureus isolated from cows naturally infected with S. aureus. Anti-Staphylococcus aureus medications that are newer and more potent than those that have been used previously were discovered. Bioinformatics analysis for the potent identified hits was performed. Three compounds—two probe-like and one drug-like—showed strong inhibitory action against S. aureus growth in vitro. Among these hits, MMV665941 exhibited the highest minimum inhibitory concentration value of 0.0078. Combination therapy was carried out using the most potent anti-S. aureus medication, MMV665941, and the traditionally used anti-S. aureus drug, amoxicillin/clavulanate (Augmentin 625®). The atom pair fingerprint (APfp) analysis revealed that MMV665941 and Augmentin showed maximum structural similarity. Based on the results obtained, it can be concluded that the Medicines for Malaria Venture Box has a wealth of potential anti-S. aureus candidates.
Carvacrol Microemulsion vs. Nanoemulsion as Novel Pork Minced Meat Active Coatings

Carvacrol is well documented for its antibacterial and antioxidant effects. However, its high volatility has directed researchers toward nanoencapsulation technology according to bioeconomy and sustainability trends. This study examined and compared free carvacrol (FC), carvacrol microemulsion (MC), carvacrol microemulsion busted with chitosan (MMC), and carvacrol nanoemulsions (NC) as active coatings on extending minced pork meat shelf life at 4 ± 1 °C for 9 days, focusing on microbiological, physiochemical, and sensory characteristics. The research involved pre-characterizing droplet sizes, evaluating antioxidants, and determining antibacterial efficacy. The results demonstrated that NC with a 21 nm droplet size exhibited the highest antioxidant and antibacterial activity. All coatings succeeded in extending the preservation of fresh minced pork meat in comparison to the free carvacrol sample (FC). The NC coating showed the highest extension of minced pork meat preservation and maintained meat freshness for 9 days, with a lower TBARs of 0.736 mg MDA/Kg, and effectively reduced mesophilic, lactic acid, and psychotrophic bacterial counts more significantly by 1.2, 2, and 1.3 log, respectively, as compared to FC. Sensory assessments confirmed the acceptability of NC and MCC coatings. Overall, the carvacrol-based nanoemulsion can be considered a novel antioxidant and antimicrobial active coating due to its demonstrated higher efficacy in all the examined tests performed.
Ice storm damage to a southern Wisconsin mesic forest

BRUEDERLE, L. P. AND F. W. STEARNs(Dept. Biol. Sci., Rutgers Univ., Piscataway, NJ 08854 and Bot. Dept., Univ. of Wisconsin, Milwaukee, WI 53211). Ice storm damage to a southern Wisconsin mesic forest. Bull. Torrey Bot. Club 112:167-175. 1985. -In 1976, an extensive ice storm struck southern Wisconsin, resulting in substantial damage to the upland forest at the University of Wisconsin-Milwaukee Cedar-Sauk Field Station. Strong northeasterly winds following the storm (80.6 km/hour) exacerbated the damage. A forest fuel sampling technique was modified to measure the volume of macro-litter resulting from the ice storm. The canopy was photographed using both wide-angle and fish-eye lenses to determine the effect upon the overstory. Macro-litter volume was determined to be 19.35 m3/ha, accounting for a loss of approximately 35% of the canopy. Damage was uneven and was influenced by topographic and climatic factors; inclination and aspect of slope, as well as wind were found to be of particular importance. Species susceptibility to glaze varied considerably. Susceptibility was quantified by preparing a ratio of the observed macro-litter volume with the expected volume based upon the relative dominance of each species in the stand. Ratio products ranged from 1.55 for Ulmus rubra, the most susceptible species, to 0.17 for Ostrya virginiana. Factors responsible for species susceptibility include growth form, mechanical properties of wood, tree age and degree of decay, and position in the canopy.
Analyzing the Financial Sector Nexus Economic Growth of Pakistan: New Insights from ARDL Approach

In the context of Pakistan, this study looks at how local financial sector expansion and foreign capital inflows affect economic growth. The Error Correction Model is used for short run connections and the ARDL bounds testing technique to cointegration is used for long run interactions, using yearly data series from the Economic Survey of Pakistan and the WDI for the years 1998–2022. Empirical research indicates that foreign capital inflows boost economic expansion. Economic growth is facilitated by both government investment and the expansion of the financial sector. Technology, the human capital pool, and remittances all contribute positively to economic growth. According to the latest report, financial reforms should be implemented by the Pakistani government to increase the effectiveness of the country's financial industry and, eventually, accelerate economic growth.
Absence of Type I Interferon Autoantibodies or Significant Interferon Signature Alterations in Adults With Post–COVID-19 Syndrome

Abstract Genetic defects in the interferon (IFN) system or neutralizing autoantibodies against type I IFNs contribute to severe COVID-19. Such autoantibodies were proposed to affect post–COVID-19 syndrome (PCS), possibly causing persistent fatigue for >12 weeks after confirmed SARS-CoV-2 infection. In the current study, we investigated 128 patients with PCS, 21 survivors of severe COVID-19, and 38 individuals who were asymptomatic. We checked for autoantibodies against IFN-α, IFN-β, and IFN-ω. Few patients with PCS had autoantibodies against IFNs but with no neutralizing activity, indicating a limited role of type I IFNs in PCS pathogenesis. In a subset consisting of 28 patients with PCS, we evaluated IFN-stimulated gene activity and showed that it did not correlate with fatigue. In conclusion, impairment of the type I IFN system is unlikely responsible for adult PCS.
A Parametric Time-to-Event Modelling of Recurrent Ischemic Stroke After Index Stroke Among Patients With and Without Diabetes Mellitus: Implementation of Temporal Validation of the Model

Objectives Compared with the first stroke, neurological impairment caused by stroke recurrence is more serious, more difficult to treat, and has a higher mortality rate, especially among ischemic stroke (IS) patients with diabetes mellitus (DM). Although there are established correlations between factors and IS recurrence, there were some issues regarding the naive hazard of IS recurrence with no risk factor influence, and how does the baseline hazard differ among patients with DM and non-DM? To answer all these questions, two time-to-event (TTE) models of recurrent IS after the index IS were developed among IS patients with DM and non-DM. Method A total of 7697 patients with an index IS attack were extracted from the Malaysian Registry of Neurology and stratified according to DM status. Several parametric survival models were evaluated using nonlinear mixed-effect modeling software (NONMEM 7.5). The final model was determined according to the lowest objective function value, graphical evaluation, numerical diagnostics, and clinical plausibility. Additionally, the final model was validated internally and temporally using Kaplan-Meier visual predictive checks (KM-VPCs). Results One hundred ninety-five (5.82%) of 3493 DM patients and 138 (3.28%) of 4204 non-DM patients developed a recurrent IS with a maximum follow-up of 7.37 years. Gompertz’s model best fitted the data. With no influence on risk factors, the index IS attack was predicted to contribute to the hazard of recurrent IS by 0.356 and 0.253 within the first six months after the index IS among patients with and without DM, respectively. Even after six months of index IS, the recurrent IS baseline hazard was not equal to zero among both groups (0.0023, 0.0018). Moreover, after incorporating the time and risk factors, the recurrent hazards increased exponentially during the first three years after the index IS followed by an exponential reduction afterward. The recurrent IS predictors among DM patients were ischemic heart disease (IHD) and hyperlipidemia (HPLD). IHD and HPLD increased the hazard of recurrent IS by 2.40 and 1.88 times, respectively, compared to those without IHD and HPLD before index IS (HR, 2.40 (1.79-3.20)), and (HR, 1.88 (1.44-2.45)) respectively. Conclusion The baseline hazard was the highest during the first six months after the index IS. Moreover, receiving medications for secondary prevention failed to demonstrate a significant association with reducing IS recurrence among IS patients with DM, suggesting a need for more intensive patient screening and new strategies for secondary prevention among IS patients with DM.
Celiac Disease in Moroccan Children: Diagnostic Characteristics and Determinants of Diagnosis Delay

Advances in the field of celiac disease have led to a better understanding of the disease, but it remains underdiagnosed and poses a daily challenge to clinicians to make a timely diagnosis. This study aims to analyze and describe diagnosis characteristics, diagnosis delay, and the factors influencing this delay in Moroccan children. Our study included 324 children diagnosed during the study period from January 01, 2010, to December 30, 2019, at the Department of Pediatrics, Hassan II University Hospital in Fez, Morocco. Data were collected using a collection grid and then analyzed using SPSS 26 software (IBM Corp., Armonk, NY). The results showed a female predominance (n=197, 60.8%), with a diagnosis age of 73.8±46.8 months. The mean age onset of symptoms was 51.3±41.2 months, and the diagnosis delay was 22.2±22.6 months, with only 32.7% (n=106) diagnosed less than 12 months after symptom onset. The most common consultation reason was diarrhea (n=149, 46%) and growth delay (n=105, 32.4%) and 50.5% (n=98) of parents consulted a pediatrician first. The three clinical, serologic, and histologic criteria made it possible to agree on the diagnosis, with the clinical profile dominated by the digestive form at 84.9% (n=279), serologic with the presence of IgA transglutaminase antibodies (95.7%; n=310), and histologic with villous atrophy at 91.7% (n=297). Unfortunately, 14.8% (n=48) of the children were diagnosed with a celiac crisis. The multivariate logistic regression analysis showed that as symptoms onset age increased, so did the risk of late diagnosis (OR=0.96, 95% CI: 0.94 to 0.97, p<0.001). Age of diagnosis was also associated with delayed diagnosis (OR=19.68, 95% CI: 8.77 to 44.15, p<0.001). The combination of these variables and the diagnosis delay argues in favor of adopting a diagnosis strategy that includes raising awareness among healthcare professionals of the need to identify typical and atypical cases early in order to reduce the adverse effects of late diagnosis and the complications that can result. This methodology for improving diagnoses may also unearth previously unknown aspects of celiac disease in Moroccan children.
Multidimensional Predictors of Cancer-Related Fatigue Based on the Predisposing, Precipitating, and Perpetuating (3P) Model: A Systematic Review

Simple Summary Cancer-related fatigue (CRF) is the most common and distressing symptom in cancer survivors, severely affecting their quality of life. However, clinicians and patients are not well recognized for its importance and lack timely screening and assessment. With the rapid development of artificial intelligence and personalized care, early screening and assessment of CRF using machine learning to construct risk prediction models may contribute to this. Therefore, we redefined the predictors of CRF based on the predisposing, precipitating, and perpetuating (3P) model to develop a valid basis for the feature selection of future prediction models, intending to provide a more accurate and personalized plan for the clinical diagnosis and management of CRF. Abstract Cancer-related fatigue (CRF) is a widespread symptom with high prevalence in cancer patients, seriously affecting their quality of life. In the context of precision care, constructing machine learning-based prediction models for early screening and assessment of CRF is beneficial to this situation. To further understand the predictors of CRF for model construction, we conducted a comprehensive search in PubMed, Web of Science, Embase, and Scopus databases, combining CRF with predictor-related terms. A total of 27 papers met the inclusion criteria. We evaluated the above studies into three subgroups following the predisposing, precipitating, and perpetuating (3P) factor model. (1) Predisposing factors—baseline fatigue, demographic characteristics, clinical characteristics, psychosocial traits and physical symptoms. (2) Precipitating factors—type and stage of chemotherapy, inflammatory factors, laboratory indicators and metabolic changes. (3) Perpetuating factors—a low level of physical activity and poorer nutritional status. Future research should prioritize large-scale prospective studies with emerging technologies to identify accurate predictors of CRF. The assessment and management of CRF should also focus on the above factors, especially the controllable precipitating factors, to improve the quality of life of cancer survivors.
Characterization of Alumina Nanoparticles Prepared Via Green Synthesis Method

The green synthesis method of nanoparticles attracts the attention of researchers in various scientific specializations as it is easy, environmentally friendly, and low-cost. It is one of the important methods for preparing alumina nanoparticles, which has wide applications in various fields. In this work, alumina nanoparticles were prepared by this technique using an aluminum salt with a plant extract in the manner used in previous studies. The resulting nanoparticles were then characterized structurally and optically using several techniques. The results of X-ray diffraction (XRD) measurement proved the formation of alumina nanoparticles with a hexagonal phase through the peaks appearing in the diffraction pattern belonging to these nanoparticles, and it was found that their average particle size is equal to (61 nm). As for the scanning electron microscope images (SEM), it was shown that their diameters average range between (35 - 55 nm) and that their shapes are not arranged between spherical and rod-like, with the formation of aggregations of them. The results of measuring the UV-Vis spectrophotometer through the absorption spectrum showed that the surface plasmon resonance (SPR) of these nanoparticles at the wavelength (~300 nm). Fourier-transform infrared spectroscopy (FTIR) analysis distinguished the appearance of bonds belonging to alumina and within the range (~ 400 - 1100 cm -1 ).
Posttraumatic Growth: Theory, Research, and Applications

Posttraumatic Growth reworks and overhauls the seminal 2006 Handbook of Posttraumatic Growth. It provides a wide range of answers to questions concerning knowledge of posttraumatic growth (PTG) theory, its synthesis and contrast with other theories and models, and its applications in diverse settings. The book starts with an overview of the history, components, and outcomes of PTG. Next, chapters review quantitative, qualitative, and cross-cultural research on PTG, including in relation to cognitive function, identity formation, cross-national and gender differences, and similarities and differences between adults and children. The final section shows readers how to facilitate optimal outcomes with PTG at the level of the individual, the group, the community, and society.
Predicting Football Match Outcomes with Machine Learning Approaches

The increasing use of data-driven approaches has led to the development of models to predict football match outcomes. However, predicting match outcomes accurately remains a challenge due to the sport's inherent unpredictability. In this study, we have investigated the usage of different machine learning models in predicting the outcome of English Premier League matches. We assessed the performance of random forest, logistic regression, linear support vector classifier and extreme gradient boosting models for binary and multiclass classification. These models are trained with datasets obtained using different sampling techniques. The result showed that the models performed better when trained with dataset obtained using a balanced sampling technique for binary classification. Additionally, the models' predictions were evaluated by conducting simulation on football betting profits based on the 2022-2023 EPL season. The model achieved the highest accuracy is the binary class random forest, but the model provided the highest football betting profit is the binary class logistic regression.
Hydrological and environment tritium investigation to evaluate groundwater in capital territory of Pakistan

The capital territory of Pakistan constitutes twin cities Islamabad & Rawalpindi. Islamabad is a capital city located at the foot of Margallah Hills whereas the Rawalpindi city lies in Potohar Plateau. Both cities are located in the semi-arid region of Pakistan where the residents meet their basic need of water through groundwater resources. Since last many years quantity and quality of groundwater in these cities are deteriorating very rapidly. In this study the foremost recharge source of these cities was identified using tritium and major ions chemistry and different physiochemical parameters were studied to find out the facts behind the quality deterioration of groundwater. Tritium values and chemical data suggested that aquifers located in territory of Islamabad mainly recharged by upland areas (Margalla Hills) that accounts for their low electrical conductivity and total dissolved solids contents. Higher sodium adsorption ratio (SAR) suggested an alteration in recharge patterns through soil compaction and cementation (by increase construction activity) that reduced the recharge inputs. High SAR also disturbs the recharge pattern and had disturbed the natural equilibrium of groundwater system and deteriorated the quality of water.
Impact of Rural-Urban Differences in Acceptance and Meaning of Life among Breast Cancer Patients in India

India is a land of unity in diversity and it is not only true about its sociocultural but also holds residential areas too. Rural and urban areas associated with different sociostructural characteristics may contribute variation in behavioural adaptation. We studied the impact of rural-urban differences on the acceptance level and meaning of life among breast cancer patients in India. The present analytical descriptive cross-sectional study was conducted under superspecialty hospital, West Bengal, India. We compared the acceptance capability and meaning in life in breast cancer patients from rural areas (N = 122) and urban areas (N = 99). Patient-reported data concerning selected psychological (acceptance ability and the meaning of life), sociodemographic, and biological factors were collected by using validated tools. To identify the impact of sociocultural variation, descriptive statistics were calculated as the mean ± standard deviation of the score of validated tools based on acceptance and meaning of life. Patients from urban areas perceived meaning of life significantly worse than rural individuals (33.1 ± 2.44 vs. 24.2 ± 1.02). Education ( p = < 0.01 ), family per capita income ( p = 0 < 0.01 ), and family structure ( p = 0.004 ) factors were evaluated for being predictors of acceptance levels, whereas the educational level ( p = < 0.01 ) has significantly interacted with the meaning of life among both areas’ patients. Disease acceptance levels were found to be significantly higher in urban area’s patients than rural ones (38.6 ± 1.9 vs. 32.7 ± 1.92). The current study demonstrates that the patients of rural background and low education are more likely than their respective counterparts to have a lower level of acceptance capability and meaning of life.