Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship Between Language Barrier in Non-Arabic Nurses and Anxiety in Cardiovascular Patients: A Cross-Sectional Descriptive Study

Patients with cardiac conditions may suffer from anxiety related to prognosis and further rehabilitation. Anxiety could be exacerbated by different factors including miscommunication, which could be attributed to the linguistic barrier, that exists among health care providers. At Saud Al-Babtain Cardiac Center (SBCC), nurses who are non-native Arabic speakers could have difficulty communicating disease-related information at different stages of nursing care. Is it possible to identify the language barrier as a source of anxiety for admitted patients with cardiac diseases? In this cross-sectional, descriptive study, 50 patients were included following the diagnosis of cardiac disease and post-cardiac surgery. A questionnaire that measures anxiety level showed that patients who were handled by Arabic-speaking nurses reported less collective mean for the anxiety domain statements of (20.08) versus those who were handled by Non-Arabic-speaking nurses (28.55, P value = .041). Our finding indicates that anxiety levels increased when there was a language barrier between nurses and patients, which could affect the quality of care delivery at SBCC.
Investigating multi-parcel crowdsourcing logistics for B2C e-commerce last-mile deliveries

ABSTRACT B2C e-commerce last-mile delivery (LMD) is a critical process, considering both efficiency and effectiveness: it implies high costs, and online customers have stringent service level expectations. One promising LMD solution based on crowdsourcing logistics (CL) is the ‘multi-parcel’ paradigm (each rider accomplishes different deliveries in the same tour). This work analyses the impact of multi-parcel CL on delivery costs compared to traditional by-van LMD. First, it develops an analytical model that –generating customers’ demand and assigning deliveries to riders– computes both CL and traditional LMD costs. Second, the model is applied to a case in Milan, Italy. Third, sensitivity analyses are run on key variables/parameters. Multi-parcel CL entails significant benefits compared to traditional LMD (about 11% saving). On the academic side, this work contributes to the literature, proposing a model that investigates the performances of multi-parcel CL. On the managerial side, it may support practitioners in implementing this innovative delivery solution.
Antimicrobial, antioxidant and anticancer activity of biogenic silver nanoparticles – an experimental report

In the present study, use of a Helicteres isora stem bark extract for the biosynthesis of AgNPs is described. It was observed that the aqueous silver (Ag+) ions, once associated in the stem bark extract, were reduced in solution, thereby leading to formation of the stable AgNPs. These AgNPs were characterized using several techniques. The nanoparticles show a maximum absorbance at 419–431 nm in the ultraviolet-visible spectra. The presence of the steroid sapogenin was identified using Fourier transform-infrared (FTIR) spectroscopy. The reduction of the Ag+ ions to elemental silver was investigated by using X-ray diffraction (XRD). Transmission electron microscopy (TEM) revealed the formation of monodisperse, with low polydispersity, nanoparticles of 25.55 nm, and the presence of elemental silver was confirmed through energy dispersive spectroscopy (EDX) analysis. The AgNPs showed antioxidant activities such as DPPH, hydrogen peroxide and nitric oxide radical scavenging and a reducing power compared to the standard compounds. The antibacterial effect was determined against test strains, showing significant inhibition. The antiproliferative activity of the AgNPs was demonstrated using oral carcinoma (KB) cells with MTT, and confirmed using AO/EtBr, comet assay, DCFH-DA and Rhodamine 123 staining. In the toxicity study, a significant mortality rate was observed against Artemia with an IC50 concentration of 70 μg mL−1 and 108 h exposure. The NPs showed as cytotoxic against Artemia at 108 h, so they are cytotoxic at high concentrations and after prolonged exposure.
Performance evaluation of different probability distribution functions for computing Standardized Precipitation Index over diverse climates of Iran

Monthly precipitation time series of 46 synoptic stations distributed over diverse climates of Iran were investigated to identify the best‐fitted probability distribution function (PDF) to the monthly precipitation series aggregated at different timescales. The computed skewness and the probability of zero precipitation (PZP) values of the considered precipitation aggregations show that a large proportion of monthly precipitation data in the study period, especially in the warm months of the year, is zero. The skewness of all 12 individual monthly precipitation time series as well as their aggregation at 3‐ and 6‐months timescales were also found very high in many studied stations, particularly in those of the arid and semi‐arid climates of Iran. To identify the best candidate distribution function for computing Standardized Precipitation Index (SPI) in different climatic areas of Iran, the performances of a dozen statistical PDFs in fitting monthly precipitation aggregated at different timescales were statistically evaluated. The results showed that the two‐parameter gamma distribution best fits monthly precipitation time series over most parts of the country while the Pearson Type III (PE3) was identified as the best‐fitted model for 3‐ and 6‐months aggregation periods and general extreme value (GEV) distribution as the best candidate function in fitting precipitation aggregated at 9‐, 12‐, and 24‐month timescales. PE3 was also identified as the second best‐fitted model for both the shorter time scale (1‐month) and the longer timescales (9‐, 12‐, and 24 months). Considering that PE3 ranked either first or second in fitting precipitation time series aggregated at different timescales and in all climatic areas of Iran, it is chosen as the most appropriate distribution function in fitting precipitation aggregated at all considered timescales throughout Iran.
Comparison of the strip- and block-wise aerial triangulation using different exterior orientation parameters weights

ABSTRACT In this study, three different procedures: checkpoint RMS of residuals, statistical evaluation of AT results using t-test, and comparison of a photogrammetric digital surface model (DSM) and LiDAR data are used to analyse the effect of IMU and GNSS uncertainties on the final adjusted results. The outcome suggests that the method of block-wise GNSS shift correction is the better method for aerial triangulation and one should use appropriate observable weights in AT. The comparison of checkpoint RMS residuals between the two methods shows that the block-wise solution is on average 6cm more accurate than the strip-wise solution.
Synthesis of Bis(NHC)-Based CNC-Pincer Rare-Earth-Metal Amido Complexes and Their Application for the Hydrophosphination of Heterocumulenes

The bis(NHC) (NHC = N-heterocyclic carbene)-based CNC-pincer rare-earth-metal amido complexes LRE[N(SiMe3)2]2 (L = 4-CH3-2-{R-[N(CH)2CN]}C6H3]2N; L2, R = CH3; L3, R = CH(CH3)2) were synthesized and characterized, and their catalytic activities toward hydrophosphination of heterocumulenes were developed. Reactions of bis[2-(3-methylimidazolium)-4-methylphenyl]amine diiodide (H3L2I2) or bis[2-(3-isopropylimidazolium)-4-methylphenyl]amine diiodide (H3L3I2) with 5 equiv of NaN(SiMe3)2 followed by treatment with 1 equiv of RECl3 in THF at −78 °C afforded the bis(NHC)-based CNC-pincer rare-earth-metal amido complexes LRE[N(SiMe3)2]2 (L2 = [4-CH3-2-{CH3-[N(CH)2CN]}C6H3]2N, RE = Y (1), Eu (2), Er (3); L3 = [4-CH3-2-{(CH3)2CH-[N(CH)2CN]}C6H3]2N, RE = Y (4), Er (5), Yb (6)). Complexes 4–6 can also be prepared by stepwise reactions of H3L3I2 with n-BuLi in THF followed by reactions with [(Me3Si)2N]3RE(μ-Cl)Li(THF)3. Stepwise reactions of H3L2I2 with n-BuLi in THF followed by treatment with [(Me3Si)2N]3RE(μ-Cl)Li(THF.
Adsorption of Cd (II) Ions by Coconut Copra: Isotherm and Regeneration Studies

This study employed coconut copra to adsorb cadmium and investigated its adsorption behavior via isotherm models. A total of seven isotherm models, namely Langmuir, Freundlich, Sips, Temkin, Dubinin-Radushkevic, Brouers-Sotolongo and Hill were utilized to investigate the adsorption mechanism. Results showed that Langmuir isotherm best fitted cadmium adsorption process among all models studied, with correlation coefficient, R2 of 0.963. The maximum adsorption capacity of coconut copra towards cadmium recorded 1.092 mg g−1 according to Langmuir isotherm, Dubinin-Radushkevic and Temkin isotherm asserted that this is a physical adsorption process. This study however observed negative cooperativity, as claimed by Hill and Temkin isotherm models. In addition, this study explored the feasibility of biosorbent regeneration. Coconut copra demonstrated potential to be regenerated, supported by its efficient removal percentage up to 7 consecutive adsorption-desorption cycles. As a whole, coconut copra is potentially viable to be used as a sustainable biosorbent for cadmium removal cadmium.
Modeling the Relationship between Rice Yield and Climate Variables Using Statistical and Machine Learning Techniques

This paper presents the application of a multiple number of statistical methods and machine learning techniques to model the relationship between rice yield and climate variables of a major region in Sri Lanka, which contributes significantly to the country’s paddy harvest. Rainfall, temperature (minimum and maximum), evaporation, average wind speed (morning and evening), and sunshine hours are the climatic factors considered for modeling. Rice harvest and yield data over the last three decades and monthly climatic data were used to develop the prediction model by applying artificial neural networks (ANNs), support vector machine regression (SVMR), multiple linear regression (MLR), Gaussian process regression (GPR), power regression (PR), and robust regression (RR). The performance of each model was assessed in terms of the mean squared error (MSE), correlation coefficient (R), mean absolute percentage error (MAPE), root mean squared error ratio (RSR), BIAS value, and the Nash number, and it was found that the GPR-based model is the most accurate among them. Climate data collected until early 2019 (Maha season of year 2018) were used to develop the model, and an independent validation was performed by applying data of the Yala season of year 2019. The developed model can be used to forecast the future rice yield with very high accuracy.
THE The Management of Anaesthesia in Caesarean Section of Pregnant Women with COVID-19

Objective: In this study, we aimed to investigate the effect of preoperative clinical status on the choice of anesthesia method and the postoperative maternal and fetal outcomes in the caesarean section of pregnant women with COVID-19 related acute respiratory distress syndrome. Materials and Methods: Pregnant women with COVID-19 related acute respiratory distress syndrome, for whom caesarean sections were planned, were included in this retrospective study. Clinical features, preoperative findings and treatments, maternal and fetal outcomes in the preoperative period, intensive care needs, and hospital stay were evaluated. Results: Ten patients who underwent caesarean section were included in the study. The mean age of the patients was 34±1.82 and the mean gestational week was 33.1±3.88. Chronic disease was present in 44.4% of them. Sixty percent of the patients were admitted to the postoperative intensive care unit. Eighty percent of the newborns were preterm and half of the newborns needed intensive care unit hospitalization. Conclusion: The clinical features of pregnant women with COVID-19 are similar to those reported for non-pregnant adults with COVID-19, but respiratory parameters of pregnant women with COVID-19 related acute respiratory distress syndrome deteriorate rapidly and should be monitored closely. Preoperative clinic status and oxygenation are the most important determinants in the selection of anesthesia type for the caesarean section.
In-Depth Analysis of Organic Solar Cells Using Transport Equation and Optical Transfer Matrix Method with Detailed Analytical Derivations

Thin-film organic solar cell (OSC) performances have been investigated in detail by improved analytical computation in this work. The generation of excitons inside OSC has been estimated by using the optical transfer matrix method (OTMM) to include the optical phenomena of the incident light. The dissociation of these excitons into free charge carriers has been investigated to find the most appropriate one. OSC performances have been evaluated by an improved analytical solution of electrical transport equations including (i) exciton generation obtained from OTMM, (ii) dissociation probability incorporating Gaussian distribution to account for the natural fact of the difference in photon-energy producing excitons, (iii) recombination of charge carriers, all together. OSC properties such as JSC, VOC, FF, PCE, Pmax, absorbance, and quantum efficiency have been investigated with the variation of different parameters; this might be useful to improve OSC. Again, the presented detailed derivations of analytical expressions would be helpful for clear understanding.
Morphological characterization of natural populations of Sarotherodon galilaeus (Linnaeus, 1758) from three selected reservoirs in South Western, Nigeria

Morphological characterization of Sarotherodon galilaeus (Linnaeus, 1758) from Opa, Asejire and Ero reservoirs in southwest, Nigeria was carried out with a view to determining the morphological heterogeneity or homogeneity among the three different populations and to determine whether there are morphotypes of this species in the selected study areas. Twenty five morphometric measurements and six meristic counts were recorded on 150 specimens; fifty from each reservoir population. Principal Component Analysis (PCA) and Canonical Variate Analysis (CVA) were performed on the morphometric and meristic data using PAST software. All the clusters produced by the PCA and CVA analyses on the morphometric and meristic data overlapped widely; indicating a low level of morphological differentiation among the three populations of Sarotherodon galilaeus. The study concluded that the Sarotherodon galilaeus populations from Opa, Asejire and Ero reservoirs are morphologically similar and phenotypically inseparable.
Modelling the Impact of Prevention and Treatment Interventions on HIV and Hepatitis C Virus Transmission Among People Who Inject Drugs in Kenya

People who inject drugs (PWID) in Kenya have a high prevalence of HIV (14-26%) and HCV (11-36%). Needle and syringe programmes (NSP) and antiretroviral therapy (ART) have high coverage among PWID, while HCV treatment and opioid substitution therapy (OST) access is low.A dynamic model of HIV (sexual and injecting-related) and HCV (injecting-related) transmission among PWID was calibrated using Bayesian methods to data from Nairobi and the Coastal region. We projected the impact of existing coverage levels of interventions (ART: 64-66%; OST: 4-7%; NSP: 54-56%) in each setting, and the impact over 2020-2030 of increasing the coverage of OST (50%) and NSP (75%; ‘full HR’), ART (UNAIDS 90-90-90 target), HCV treatment (1000 over 5 years), and reducing HIV sexual risk by 75%. We estimated HCV treatment levels needed to reduce HCV incidence by 90% with or without full HR.Since 2013, HR has averted 15.1-20.6% (range in medians across settings) of HIV infections and 29.0-31.6% of HCV infections across Nairobi and the Coastal region, with most impact being due to NSP. Conversely, ART has only averted <5% of HIV infections since 2004 because of sub-optimal viral suppression (28-48%). Going forward, Full HR and ART could reduce HIV incidence by 58.2-62.0% and HCV incidence by 62.6-81.6% by 2030 across these settings. If sexual risk is also reduced, HIV incidence would reduce by 77.1-81.4%. Alongside full HR, treating 896 PWID over 2020-2025 could reduce HCV incidence by 90% by 2030.Existing interventions have had moderate impact on HIV and HCV transmission in Kenya, but may have substantial impact if scaled-up. However, to achieve HIV and HCV elimination, reductions in sexual risk are needed and a scale-up in HCV treatment.Global Fund, MDM
Thickness Dependent Properties in Oxide Heterostructures Driven by Structurally Induced Metal–Oxygen Hybridization Variations

Thickness‐driven electronic phase transitions are broadly observed in different types of functional perovskite heterostructures. However, uncertainty remains whether these effects are solely due to spatial confinement, broken symmetry, or rather to a change of structure with varying film thickness. Here, this study presents direct evidence for the relaxation of oxygen‐2p and Mn‐3d orbital (p–d) hybridization coupled to the layer‐dependent octahedral tilts within a La2/3Sr1/3MnO3 film driven by interfacial octahedral coupling. An enhanced Curie temperature is achieved by reducing the octahedral tilting via interface structure engineering. Atomically resolved lattice, electronic, and magnetic structures together with X‐ray absorption spectroscopy demonstrate the central role of thickness‐dependent p–d hybridization in the widely observed dimensionality effects present in correlated oxide heterostructures.
Assessment of species diversity and distribution of woody species on selected plots in Olokemeji Forest Reserve, Ogun State, Nigeria

2 2 forest of south-western Nigeria and it occupies a total land area of 58.88 km . Six study plots of 50 m each were randomly selected and designated as Frequently Burnt Plot 1, Frequently Burnt Plot 2, Harvested Plot, Unharvested Unburnt Plot, Arable Plot 1 and Arable Plot 2 for the purpose of assessment of species diversity and distribution of woody species. Seven species of trees were identified belonging to five families. One hundred and eighty two stands were enumerated, with Unharvested Unburnt Plot having the highest number of trees at 50. The dominance index for the woody flora was 1 in Frequently Burnt Plot 1 and 2 as well as Arable Plot 1 and 2 except for the Harvested Plot that had the lowest (0.29) while the Unharvested Unburnt Plot had 0.75. Highest species richness was recorded at the Harvested Plot at 0.71. The species diversity in Harvested Plot was low (1.54), while it was extremely low in Unharvested Unburnt Plot (0.43). Evenness index was lowest in the Unharvested Unburnt Plot at 0.43. Tectona grandis had the highest relative importance value in the Frequently Burnt Plot 1. The low species richness and species diversity is a direct indication of anthropogenic interference in the study plots and the forest reserve; this requires urgent mitigation to prevent a total loss of its structure and function as expected of a forest reserve.
The effect of cesarean section on the incidence of congenital nasolacrimal duct obstruction

Objectives: The aim of this study is to evaluate the effect of cesarean section (CS) on the incidence and recovery of congenital nasolacrimal duct obstruction (CNLDO). Methods: The files of patients diagnosed with CNLDO, epiphora, and dacryocystitis under the age of 24 months were identified retrospectively. Patients were divided into 2 groups according to whether they were born via normal vaginal delivery (VD) or CS. Demographic data, gestational age, birth weight, application of lacrimal massage, and surgical treatment modalities were recorded from medical records. Results: The study included 173 consecutive patients, 68 were females and 105 were males. Eighty-two (47.4%) patients were born via VD and 91 (52.6%) patients were born via CS. The frequency of CS delivery in children with CNLDO (47.4%) was significantly higher than the same hospital’s total frequency of CS delivery (40.2%) (χ2 = 11, df = 1, p = 0.001). At presentation, the mean age of the patients born via CS was lower than patients born via VD (9.4 ± 6.8 months vs 12.07 ± 8.8 months) (p = 0.027). In 40 patients who had a family history of CNLDO, 23 patients recovered through non-surgical treatment, while 17 patients had a surgical intervention, which was found to be statistically significant (p = 0.009). The gestational age and birth weight of patients born via CS were significantly lower than patients born via VD (p < 0.001 and p = 0.01, respectively). Conclusions: Cesarean section delivery could increase the incidence of CNLDO.
A model for the pyrolysis of two Nordic structural timbers

Performance‐based design of the timber structures' fire resistance is often based on the reduced cross section and thus relying on empirical and numerical assessment of the charring propagation. The current work aims to construct models for the pyrolysis of spruce and pinewoods to allow coupled simulations of the cross‐section reduction and burning rate in fire models. Kinetic models are formulated based on thermogravimetric data and supported by the heats of pyrolysis and combustion measurements by differential scanning calorimetry and microscale combustion calorimetry, respectively. The results from these small‐scale measurements are consistent with each other, and the heats of pyrolysis and combustion are determined for the wood primary components by fitting the simulations to the experimental results. Heat release models are constructed based on the small‐scale tests, and cone calorimeter experiments are used for the estimation of the physical properties and for the heat release model validation.
Dimensions of Women’s Empowerment

Women’s empowerment is an important strategy in increasing the role and opportunities of women in improving their economy and is an effort to increase and actualize their potential so that they are more able to be independent and work, and are more respected. This study aims to analyze the probability of empowering women in the songket handicraft business according to dimensions of women’s empowerment. Testing and analyzing the dimensions of women’s empowerment consisting of welfare, access, awareness/critical awareness, participation, and control of women's empowerment. In this study we used the binary logistic regression. The results showed that the dimensions of participation and control have a positive and significant effect on women's empowerment.
Mechanical properties of thermoplastic parts produced by fused deposition modeling:a review

This paper aims to provide an overview of the recent findings of the mechanical properties of parts manufactured by fused deposition modeling (FDM). FDM has become a widely used technique for the manufacturing of thermoplastic parts. The mechanical performance of these parts under service conditions is difficult to predict due to the large number of process parameters involved. The review summarizes the current knowledge about the process-property relationships for FDM-based three-dimensional printing. ,The review first discusses the effect of material selection, including pure thermoplastics and polymer-matrix composites. Second, process parameters such as nozzle temperature, raster orientation and infill ratio are discussed. Mechanisms that these parameters affect the specimen morphology are explained, and the effect of each parameter on the strength of printed parts are systematically presented. ,Mechanical properties of FDM-produced parts strongly depend on process parameters and are usually lower than injection-molded counterparts. There is a need to understand the effect of each parameter and any synergistic effects involved better. ,Through the optimization of process parameters, FDM has the potential to produce parts with strength values matching those produced by conventional methods. Further work in the field will make the FDM process more suitable for the manufacturing of load-bearing components. ,This paper presents a critical assessment of the current knowledge about the mechanical properties of FDM-produced parts and suggests future research directions.