Miracle-dz/UniFAR-FTUs huggingface dataset:
Initial chemotherapy option for pancreatic ductal adenocarcinoma in patients with adequate performance status

Pancreatic ductal adenocarcinoma (PDAC) is a highly progressive lethal malignancy, with chemotherapy being the primary treatment modality. This article provides a review of the initial chemotherapy options for PDAC patients with adequate performance status, comparing FOLFIRINOX (oxaliplatin, irinotecan, 5-fluorouracil, and leucovorin) or modified FOLFIRINOX and gemcitabine plus nab-paclitaxel (GEM-NabP) regimens. The availability of limited evidence from randomized trials restricts a direct comparison between the 2 regimens. Based on our review, (m)FOLFIRINOX yields superior survival outcomes compared to GEM-NabP in metastatic PDAC. For locally advanced PDAC, either (m)FOLFIRINOX or GEM-NabP can be considered initial chemotherapy. In the neoadjuvant setting for borderline resectable PDAC, both regimens have demonstrated promising results in achieving feasible resection rates. However, mFOLFIRINOX remains the preferred choice for adjuvant chemotherapy. The selection of initial chemotherapy for PDAC depends on the disease stage, patients’ performance status, and tumor molecular alterations. Further research and clinical trials are necessary to optimize treatment approaches for PDAC patients.
Mapping evapotranspiration on vineyards: a comparison between Penman-Monteith and energy balance approaches for operational purposes

Estimation of evapotranspiration (ET) in Sicilian vineyard is an emerging issue since these agricultural systems are more and more converted from rainfed to irrigated conditions, with significant impacts on the management of the scarce water resources of the region. The choice of the most appropriate methodology for assessing water use in these systems is still an issue of debating, due to the complexity of canopy and root systems and for their high spatial fragmentation. In vineyards, quality and quantity of the final product are dependent on the controlled stress conditions to be set trough irrigation. This paper reports an application of the well-known Penman-Monteith approach, applied in a distributed way, using high resolution remote sensing data to map the potential evapotranspiration (ETp). In 2008 a series of airborne multispectral images were acquired on "Tenute Rapitalà", a wine farm located in the northwest of Sicily. Five airborne remote sensing scenes were collected using a SKY ARROW 351 650 TC/TCNS aircraft, at a height of about 1000 m a.g. l. The acquisitions were performed encompassing a whole phenological period, period between June and September 2008 (approximately every three weeks). The platform had on board a multi-spectral camera with 3 spectral bands at green (G, 530-570 nm), red (R, 650-690 nm) and near infrared (NIR, 767-832 nm) wavelengths, and a thermal camera with a broad band in the range 7.5-13 µm. The nominal pixel resolution was approximately 0.7 m for VIS/NIR acquisitions, and 1.7 m for the thermal-IR data. Field data were acquired simultaneously to airborne acquisitions. These data include spectral reflectances in VIS-NIR-SWIR (shortwave infrared), leaf area index (LAI), soil moisture at different depths (both in row and below plants). Moreover, meteo variables were measured by a standard weather station whereas fluxes were measured by means of an Eddy correlation tower located within the field. The VIS-NIR bands were atmospherically corrected and calibrated in order to calculate albedo, NDVI and LAI, which represented the distributed inputs of the Penman-Monteith algorithm. Moreover a sensitivity analysis has been carried out on input parameters (such as albedo). A sensitivity analysis was carried out to highlight the variability of outputs (such as ETp) on the accuracy in the parameters assessment obtainable using high spatial resolution airborne images. Scale effects have been also investigated by means of an artificial degradation of images spatial resolution. Finally the relationship between stress factor evaluated as the ratio between actual and reference ET and pre-dawn leaf water potential has been also investigated.
World heritage classification and tourism: divergent trajectories in Marrakech Medina (Morocco) and M’Zab Valley (Algeria)

ABSTRACT This study aims to explore the reasons that have led to unequal tourism development between the two World Heritage Sites in Little Maghreb, in Northern Africa: the Marrakech Medina in Morocco and the M’Zab Valley in Algeria. Based on an exploratory ethnography consisting of observational fieldwork and semi-structured interviews with tourists, private investors, real estate agencies, tourism agencies, local artisans, and heritage and tourism specialists, the findings reveal that unlike in Western contexts, state interventionist policies have a decisive influence on the configuration of unequal tourism development in Marrakech and M’Zab Valley. This study highlights the need for designing new, community-based policy tools in both Morocco and Algeria in order to move forward more resilient, competitive, inclusive and sustainable local economies in these two UNESCO World Heritage Sites.
Estimation of Unsaturated Soil Hydraulic Parameters Using the Ensemble Kalman Filter

The parameters of soil hydraulic functions are essential to the accurate simulation of soil moisture based on the Richards equation. Optimal values of these parameters can be calibrated by inverse modeling, in which the incomplete consideration of various errors may influence the parameter estimation results, thus further limiting the accuracy of modeling and forecasting. The ensemble Kalman filter (EnKF) is believed to be a flexible and effective sequential data assimilation method that provides a framework of explicit consideration of the various sources of uncertainty and is suitable for real‐time, updated observations. The objective of this study was to extend the use of the EnKF to parameter estimation in vadose zone hydrology to improve the treatment of uncertainty in the calibration process. The parameters of soil hydraulic functions were estimated by assimilating observations of soil water pressure dynamics using EnKF with an augmentation technique. The results of the synthetic experiments on 12 soils with different textures indicated that EnKF estimates can quickly approach stable estimates. In contrast to the batch calibration process that used a simple least squares objective function, the EnKF reduced the risk of obtaining suboptimal estimates. The EnKF also performed well in the multiparameter estimation scenarios with synthetic observations and in its application in a heterogeneous soil profile with in situ field observations from a previous study. We further explored the factors that may influence estimation results, including the initial estimate, the ensemble size, the observation error and the model error, the assimilation interval, the water regime, and the variability of the estimated parameters. The result of this study indicates that the EnKF scheme is an effective method for parameter estimation in vadose zone hydrology.
Nutritional Evaluation of Green Mussel Perna viridis (Linnaeus, 1758) and Brown Mussel Modiolus modulaides (Röding, 1798) From Panay Island, Philippines

Mussels are considered a low-cost protein source in the Philippines. The green mussel Perna viridis (Linnaeus, 1758) is widely consumed, while the brown mussel Modiolus modulaides (Röding, 1798) is not yet fully utilised as human food but used as animal food or fermented for human consumption. This study aims to determine the nutritional value of these mussels in terms of their proximate composition, amino acid, fatty acid, and mineral components. Results revealed that the moisture content of M. modulaides was significantly higher (P < 0.05) than P. viridis. In comparison, the crude protein content of P. viridis (11.39 %) was significantly higher (P < 0.05) than M. modulaides (9.19 %), but they have similar amounts of lipids. There were 18 amino acids detected in the two species with significantly higher (P < 0.05) total essential amino acids (EAA) and non-essential amino acids found in P. viridis. The most abundant EAA were leucine and lysine in P. viridis and M. modulaides. Results also revealed that the two mussel species are qualified for good quality protein claims with an essential amino acid index of >0.9 and digestible indispensable amino acid scores of >100 %. Palmitic and stearic acids were detected in both species, but eicosapentaenoic and docosahexaenoic acids were only detected in P. viridis. Sodium, potassium, iron, and calcium were also found in the two species. These results indicate that the two Philippine mussel species can be good sources of important amino acids, lipids and minerals for human and animal diets.
Coriolis effect on the stability of convection in mushy layers during the solidification of binary alloys.

We consider the solidification of a binary alloy in a mushy layer subject to Coriolis effects. A near-eutectic approximation and large far-field temperature is employed in order to study the dynamics of the mushy layer in the form of small deviations from the classical case of convection in a horizontal porous layer of homogenous permeability. The linear stability theory is used to investigate analytically the Corio lis effect in a rotating mushy layer for, a diffusion time scale used by Amberg & Homsey (1993) and Anderson & Worster (1996), and for a new diffusion time scale proposed in the current study. As such, it is found that in contrast to the problem of a stationary mushy layer, rotating the mushy layer has a stabilising effect on convection. For the case of the new diffusion time scale proposed by the author, it is established that the viscosity at high rotation rates has a destabilising effect on the onset of stationary convection, ie. the higher the viscosity, the less stable the liquid. Finite amplitude results obtained by using a weak non-linear analysis provide differential equations for the amplitude, corresponding to both stationary and overstable convection. These amplitude equations permit one to identify from the post-transient conditions that the fluid is subject to a pitchfork bifurcation in the stationary case and to a Hopf bifurcation associated with the overstable convection. Heat transfer results were evaluated from the amplitude solution and are presented in terms of the Nusselt number for both stationary and overstable convection. They show that rotation enhances the convective heat transfer in the case of stationary convection and retards convective heat transfer in the oscillatory case, but only for low values of the parameter X I = 8 Pr ~ 0 So· The parameter 1/ X I represents the coefficient of the time derivative term in the Darcy equation. For high X I values, the contribution from the time derivative term is small (and may be neglected), whilst for small X I values the time derivative term may be retained.
The Design of a Posture Instruction Atlas and the Prevention of Construction Workers’ Work-Related Musculoskeletal Disorders (WMSDs): A Study on Attention Allocation and Cognitive Load Based on Eye Tracking

Training construction workers in safe postures for their tasks could help them avoid unsafe postures and reduce work-related musculoskeletal disorders (WMSDs). This study compared two forms of atlas design in facilitating workers’ learning postures, including their differences in guiding workers’ attention allocation and cognitive load during the learning process. One kind of atlas graphically shows the correct postures to perform construction tasks, and the other adds wrong demonstrations alongside the right ones. Eye-tracking technology was utilized to measure attention allocation and cognitive load. An experimental study was conducted, with 52 construction workers being invited as participants. The results indicated that workers significantly distributed more attention to diagrams than texts and more attention to diagrams showing execution postures than preparatory postures. Moreover, the workers had significantly longer fixation durations on the key body parts when there were wrong demonstrations, which ultimately improved their learning outcomes. There were no significant differences in cognitive load. Suggestions for designing an instructional atlas to enhance construction workers’ occupational health education can be obtained from the findings, including applying diagrams more instead of texts to describe how to correctly perform construction tasks, emphasizing the importance of preparation posture when performing construction tasks, and adding wrong demonstrations showing consequences, with visual cues being positioned on the key body parts.
Highly selective production of phenolic compounds from lignin pyrolysis with the strategy of hydrogen self‐supply

In this study, a sealable fixed‐bed reactor was developed to investigate the influence of gaseous products on lignin pyrolysis with a strategy of hydrogen self‐supply, and lignin pyrolysis performances at various temperatures were monitored by the comprehensive characterization of the generated products, including gas, bio‐oil and char. The results showed that the release of volatiles (both gas and bio‐oil) from lignin was strengthened in this sealable system when the temperature rose, and therefore less char was left. Meanwhile no H2 was detected under any of the operating conditions, which is a common component in pyrolysis gas from conventional reactors, indicating its participation in lignin pyrolysis. Furthermore, the formation of CO and CO2 in the employed pyrolyzer benefited from not only the thermal evolution of feedstock, but also the interactions between char residues and generated gas components. Meanwhile, because of the hydrogen self‐supply, compounds in bio‐oil were enriched and only nine species were detected, which were all phenolic compounds. Vanillic acid was dominant, and its relative content was up to 38.86% for Alcell organosolv lignin and 34.41% for soda alkali lignin. This illustrates that highly selective production of phenolic compounds from lignin pyrolysis can be achieved by self‐supplying hydrogen from pyrolysis gas.
Algae-Enhanced Electrospun Polyacrylonitrile Nanofibrous Membrane for High-Performance Short-Chain PFAS Remediation from Water

As a short-chain PFAS (per- and polyfluoroalkyl substance), GenX was produced in recent years to replace traditional long-chain PFASs, such as perfluorooctanoic acid (PFOA). However, GenX turns out to be more toxic than people originally thought, posing health risks as a persistent environmental pollutant. In this research, for the first time, we incorporated chlorella, a single-celled green freshwater microalga that grows worldwide, with polyacrylonitrile (PAN) in equal amounts in electrospun nanofibers and studied the capability of the electrospun PAN/Algae bicomponent nanofibrous membrane (ES(PAN/Algae)) to bind and remove GenX from water. The incorporation of algae demonstrated a synergistic effect and significantly improved the GenX removal efficiency of the nanofibrous membrane. The maximum GenX removal capacity reached 0.9 mmol/g at pH 6, which is significantly higher than that of most of the reported GenX adsorbents as well as activated carbon. The GenX removal mechanism was investigated and discussed by using water contact angle, zeta potential, FTIR, and XPS techniques. This research demonstrated the potential to make highly efficient adsorbent/filter materials from common and economic materials to practically remediate short-chain PFASs from various water bodies.
Association of Fine Particulate Matter Constituents with the Predicted 10-Year Atherosclerotic Cardiovascular Disease Risk: Evidence from a Large-Scale Cross-Sectional Study

Little is known concerning the associations of fine particulate matter (PM2.5) and its constituents with atherosclerotic cardiovascular disease (ASCVD). A total of 31,162 participants enrolled from the Henan Rural Cohort were used to specify associations of PM2.5 and its constituents with ASCVD. Hybrid machine learning was utilized to estimate the 3-year average concentration of PM2.5 and its constituents (black carbon [BC], nitrate [NO3−], ammonium [NH4+], inorganic sulfate [SO42−], organic matter [OM], and soil particles [SOIL]). Constituent concentration, proportion, and residual models were utilized to examine the associations of PM2.5 constituents with 10-year ASCVD risk and to identify the most hazardous constituent. The isochronous substitution model (ISM) was employed to analyze the substitution effect between PM2.5 constituents. We found that each 1 μg/m3 increase in PM2.5, BC, NH4+, NO3−, OM, SO42−, and SOIL was associated with a 3.5%, 49.3%, 19.4%, 10.5%, 21.4%, 14%, and 28.5% higher 10-year ASCVD risk, respectively (all p < 0.05). Comparable results were observed in proportion and residual models. The ISM found that replacing BC with other constituents will generate the greatest health benefits. The results indicated that long-term exposure to PM2.5 and its constituents were associated with increased risks of ASCVD, with BC being the most attributable constituent.
Integrated network analysis and metabolomics reveal the molecular mechanism of Yinchen Sini decoction in CCl4-induced acute liver injury

Objective: Yinchen Sini decoction (YCSND), a traditional Chinese medicine (TCM) formula, plays a crucial role in the treatment of liver disease. However, the bioactive constituents and pharmacological mechanisms of action remain unclear. The present study aimed to reveal the molecular mechanism of YCSND in the treatment of acute liver injury (ALI) using integrated network analysis and metabolomics. Methods: Ultra-high-performance liquid chromatography coupled with Q-Exactive focus mass spectrum (UHPLC-QE-MS) was utilized to identify metabolites in YCSND, and high-performance liquid chromatography (HPLC) was applied to evaluate the quality of four botanical drugs in YCSND. Cell damage and ALI models in mice were established using CCl4. 1H-NMR metabolomics approach, along with histopathological observation using hematoxylin and eosin (H&E), biochemical measurements, and reverse transcription quantitative real-time PCR (RT-qPCR), was applied to evaluate the effect of YCSND on CCl4- induced ALI. Network analysis was conducted to predict the potential targets of YCSND in ALI. Result: Our results showed that 89 metabolites in YCSND were identified using UHPLC-QE-MS. YCSND protected against ALI by reducing the levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), and malondialdehyde (MDA) contents and increasing those of superoxide dismutase (SOD), and glutathione (GSH) both in vivo and in vitro. The 1H-NMRmetabolic pattern revealed that YCSND reversed CCl4-induced metabolic abnormalities in the liver. Additionally, the Kyoto Encyclopedia of Genes and Genome (KEGG) pathway enrichment analysis identified five pathways related to liver injury, including the PI3K-AKT, MAPK, HIF-1, apoptosis, and TNF signaling pathways. Moreover, RT-qPCR showed YCSND regulated the inflammatory response (Tlr4, Il6, Tnfα, Nfκb1, Ptgs2, and Mmp9) and apoptosis (Bcl2, Caspase3, Bax, and Mapk3), and inhibited PI3K-AKT signaling pathway (Pi3k and Akt1). Combined network analysis and metabolomics showed a link between the key targets (Tlr4, Ptgs2, and Mmp9) and vital metabolites (choline, xanthine, lactate, and 3-hydroxybutyric acid) of YCSND in ALI. Conclusion: Overall, the results contribute to the understanding of the therapeutic effects of YCSND on ALI, and indicate that the integrated network analysis and metabolomics could be a powerful strategy to reveal the pharmacological effects of TCM.
Effect of Guideline Protocol Regarding COVID-19 Preventive Measures on Awareness of Hospitalized School Age Children

Background: Lack of awareness about the fast-spreading coronavirus disease 2019 (COVID-19) pandemic represents a global threat. There is growing evidence of the challenges with adherence to COVID-19 prevention measures and the effect of the prevention measures on the health of populations especially those with comorbidities. Aim of the study: was to evaluate the effect of guideline protocol regarding COVID-19 preventive measures on awareness of hospitalized school age children. Subjects and Method: Research design: One group pre-posttest quasi-experimental design was adopted to carry out this study. Setting: The study was conducted in the medical wards at Zagazig University Pediatric Hospital, Zagazig, Egypt. Subjects : 72 hospitalized school-aged children. Tools of data collection: Structured Interview Questionnaire to collect data about studied children characteristics and evaluate their awareness regarding COVID-19 preventive measures. Results: The study reveals that 2.8% of the studied group had satisfactory general awareness score before the guideline protocol compared to 98.6% post the protocol with highly statistically significant difference at (P<0.001) throughout study phases. Conclusion: The guideline protocol regarding COVID-19 preventive measures for hospitalized school age children had great effect on improving their awareness. Recommendations: Pediatric nurses must provide awareness and public knowledge regarding the novel COVID-19 with simple Arabic illustrative educational booklets, pictures and videos about COVID-19 for all children in all health care settings to prevent the spread of this pandemic disease.
RESOLUTION OF IMPACTS OF RUNOFF EVENTS ON A WATER SUPPLY RESERVOIR WITH A ROBOTIC MONITORING NETWORK 1

A robotic water quality monitoring network is used to resolve the coupled patterns of a natural tracer, specific conductance (SC), and metrics of light scattering and turbidity for Schoharie Creek and downstream Schoharie Reservoir, with particular emphasis on the impacts of runoff events. Strong relationships between these parameters and streamflow, and the propensity for this tributary to plunge in the reservoir in summer and fall based on its lower temperature, are reported. The entry of this stream, the primary tributary, into the reservoir as a turbid density current during runoff events is depicted as distinct and vertically coincident subsurface SC minima and peaks in measures of light scattering. The magnitudes of these signatures imparted to the reservoir's water column are demonstrated to be strongly dependent on the magnitude of the runoff event. The time course of the diminishment of these signatures and longitudinal differences in turbidity within the reservoir are described. The documented patterns of SC and metrics of light scattering provided by the robotic monitoring network offer a rare opportunity to support development and testing of a turbidity model with the necessary attributes of fine temporal and spatial resolution.