Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluating machine translation of literature through rhetorical analysis

This paper looks at how well ChatGPT and DeepL, two AI tools, translate literary works. Not only can ChatGPT translate text, but it can also carry out other jobs. DeepL is a service that performs computer translation and uses neural networks. The paper looks at how ChatGPT and DeepL translate books, poems, and dialogues compared to translations done by humans. The paper also talks about the pros and cons of using machine translation for literary reasons, including issues of creativity, style, and adapting to different cultures. The paper uses both new and old studies on machine translation technologies and how they work with human translation. The paper comes to the conclusion that ChatGPT and DeepL are useful but imperfect tools for translating literature, and they require human review and improvement. The paper adds to the fields of machine translation and natural language processing by looking at how two cutting-edge AI tools, ChatGPT and DeepL, can be used to translate literary works. The paper also adds to literature studies and digital humanities by looking into what machine translation can and can't do for creative writing and dialog systems. The goal of the paper is to encourage researchers, translators, writers, and users from different fields to work together and talk to each other. ⁤
WWLLN lightning and satellite microwave radiometrics at 37 to 183 GHz: Thunderstorms in the broad tropics

We investigate lightning strokes and deep convection through the examination of cloud‐to‐ground (CG) lightning from the World Wide Lightning Location Network (WWLLN) and passive microwave radiometer data. Microwave channels at 37 to 183.3 GHz are provided by the Tropical Rainfall Measuring Mission satellite (TRMM) Microwave Imager (TMI) and the Special Sensor Microwave Imager/Sounder (SSMIS) on the Defense Meteorological Satellite Program (DMSP) satellite F16. The present study compares WWLLN stroke rates and minimum radiometer brightness temperatures (Tbs) for two Northern Hemisphere and Southern Hemisphere summers (2009–2011) in the broad tropics (35°S to 35°N). To identify deep convection, we use lightning data and Tbs derived from all channels and differences in the Tbs (ΔTbs) of the three water vapor channels near 183.3 GHz. We find that stroke probabilities increase with increasing Tb depressions for all frequencies examined. Moreover, we apply methods that use the 183.3 GHz channels to pinpoint deep convection associated with lightning. High lightning stroke probabilities are found over land regions for both intense and relatively weak convective systems, although the TMI 85 GHz results should be used with caution as they are affected by a 7 km gap between the conical scans. Over the ocean, lightning is associated mostly with larger Tb depressions. Generally, our results support the noninductive thundercloud charging mechanism but do not rule out the inductive mechanism during the mature stages of storms. Lastly, we present a case study in which lightning stroke rates are used to reconstruct microwave radiometer Tbs.
Interference in drug assay by phytochemicals: An experience with colorimetric assay of amlodipine in physiological fluids

Purpose: To investigate the potential interactions between methanol extract of Aframomum melegueta seeds (AMSE) and amlodipine (AML). Methods: Amlodipine concentrations 2.5, 5.0, 7.5, 10, 12.5 and 15 µg/mL were assayed in vitro with or without AMSE using potassium ferricyanide/FeCl3 (FeCl3/K4(Fe(CN)6)) method. The resulting solution was wavelength-scanned in the range 380 – 950 nm and absorbance read at 393.1, 455.6 and 774.8 nm. Results: Aframomum melegueta seeds (AMSE), when present in biological fluids and solutions of AML, interfered significantly with FeCl3/K4(Fe(CN))6. The highest interference occurred at 774.8 nm, and 50 µg/mL AMSE gave as much as 1.5 absolute unit increase in absorbance of 2.5 µg/mL when compared to its absence. Spectral scan of the sample revealed two additional peaks at 393.1 and 455.6 nm with only 0.07 and 0.16 nm unit increases in the presence of AMSE. Concentration–absorbance relationship at these two wavelengths satisfied Beer-Lambert’s law. Beyond 15 µg/mL AML at 774.8 nm, Beer-Lambert’s law was not followed. Conclusion: This study highlights the potential interactions between components of the methanol extract of Aframomum melegueta seeds on assay methods of AML. Furthermore, reliable concentration measurements have been made at 393.1 or 455.6 nm. This should be kept in mind when carrying out drug measurements in populations where concurrent use of herbal remedies is highly probable.
Wild Birds as Drivers of Salmonella Braenderup and Multidrug Resistant Bacteria in Wetlands of Northern Italy

In this study, the antimicrobial resistance profiles of bacterial strains obtained from wild avian species recovered in wetlands of Northern Italy were described. Cloacal swabs collected from 67 aquatic birds, hunted or found dead in two private hunting grounds, were submitted to microbiological investigations and antimicrobial susceptibility testing using the Vitek 2 system, while specific PCR protocols were applied to screen for genes associated with the resistance. One hundred fifty-seven bacterial strains were characterized. The most frequent isolates were Enterococcus faecalis (36/157; 22.9%) and Escherichia coli (23/157; 14.6%). Seventy-seven isolates (77/157; 49%) were resulted resistant to at least one antibiotic, and eight isolates (8/157; 5%) were classified as multidrug resistant bacteria. Resistance for critically important antibiotics (linezolid, vancomycin, carbapenems, third-generation cephalosporins, and fluoroquinolones) was also described. Salmonella spp. was obtained from a Eurasian teal (Anas crecca), and it was subsequently analyzed by whole genome sequencing, revealing the serovar Salmonella Braenderup ST22. The phylogenetic analysis, performed with all ST22 described in 2021 and 2022, placed the strain under study in a large clade associated with human salmonellosis cases. These results suggest that migratory aquatic birds may be considered as relevant carriers of critically important antibiotic resistant bacteria and zoonotic food-borne pathogens potentially able to impact public health.
Effects of Cycle Ergometer Training on Heart Rate Recovery and Mind Fullness in NYHA class I, II Heart Failure Patients

Aim: To determine effect of Cycle ergometer on heart rate recovery and mindfulness in NYHA Class I and II heart failure pts. Study design: The study was a randomized controlled trial. Place and duration: Total study duration was 6 months, carried out at Rawal general and dental hospital Islamabad. Methodology: 38 patients were divided into the Control and experimental group. The control group received only conventional Therapy at home and the hospital on the third and 6th weeks for a supervised conventional therapy session. The experimental group received conventional therapy and cycle ergometer training thrice weekly for six weeks. Baseline demographic data, Vitals, HRR1, HRR2, and MAAS scores were gathered from both groups and compared after six weeks. Results: The mean age of the control group was (46.37±4.43) and of the experimental group (was 50.47±9.22). The MAAS score was significant with a p-value (< 0.05). HRR1 and HRR2 were also significant, with a p-value (<0.05). Conclusion: This study showed that cycle ergometer exercise training significantly improved heart rate recovery in NYHA Class I and II heart failure patients and improved mindfulness. Keywords: Heart failure, Heart Rate Recovery 1(HRR1), Heart Rate Recovery 2 (HRR2), Mindful Attention Aware Scale
Mitigation of drought negative effect on ecosystem productivity by vegetation mixing

Vegetation diversity and interaction is thought to have a beneficial effect on ecosystem functioning, particularly improving ecosystem resistance to drought. This is of significant importance in the context of a warmer world, as extreme events such as droughts become more likely. Most of the studies performed so far on vegetation interaction are based on observations. Here we use the land surface model JULES to study the potential of vegetation mixing to mitigate the negative effect of drought events on the land surface through interaction, a mechanism which is difficult to study in situ at large scales. Using a set of simulations with mixed and unmixed vegetation, we show that the carbon, water, and energy fluxes are significantly affected by vegetation competition for water resources. The interaction is in general beneficial for the ecosystem carbon assimilation due to a better use of water resources. This benefit is highest when traits between vegetation types concerning resource competition overlap least. For a tree‐grass combination, mixing improves carbon assimilation by 5% to 8% during summer. The benefit of mixing increases further under progressively more resource‐limited conditions up to an inflection point with a benefit of 14%, after which it falls back to zero under extremely dry conditions. Mixing also tends to reduce the interannual variability of the ecosystem carbon sink and therefore improves the resistance of the ecosystem. Our results highlight the importance of vegetation interaction in climate simulations and impact studies and the potential of vegetation mixing as a mitigation tool.
Improving Flood Risk Estimates and Mitigation Policies in Coastal Louisiana under Deep Uncertainty

3 INTRODUCTION . 3 METHODS . 5 Storm Selection . 5 Flood Modeling . 6 Frequency Analysis . 7 LACPR’s “Surge Surface” Methodology for Interior Frequency Analysis . 8 CLARA’s “Coupled Dynamics” Methodology for Interior Frequency Analysis . 9 IPET’s Methodology for Interior Frequency Analysis . 10 Experimental Design . 11 RESULTS AND DISCUSSION . 12 Interpreting Discrepancies between the Surge Surface and Coupled Dynamics Methods . 14 Incorporating System Fragility . 15 CONCLUSIONS . 20 BIBLIOGRAPHY . 22 APPENDIX A: MAP OF GREATER NEW ORLEANS . 24 APPENDIX B: FREQUENCY DISTRIBUTION OF 100-YEAR (1% AEP) FLOOD ELEVATIONS WITH SIMULATED FRAGILITY . 25 APPENDIX C: FREQUENCY DISTRIBUTION OF 500-YEAR (0.2% AEP) FLOOD ELEVATIONS WITH SIMULATED FRAGILITY . 26
Two Salonitenolide Derivatives from the Aerial Parts of Centaurea Gigantea Inhibit the Growth of Colorectal Cancer Cells in Vitro

The cytotoxic activity of two salonitenolide derivatives, 8-O-(3-hydroxy-2-methylpropanoyl)-salonitenolide (or arctiopicrin, 1) and 8-O-(4-hydroxy-3-methylbutanoyl)-salonitenolide (2), isolated and identified from the methanol extract of the aerial parts of Centaurea gigantea, was assessed by the MTT cytotoxicity assay using the colon cancer cell line, CaCo-2. The IC50 values for 1 and 2 were found to be 8.5 and 26.4 μM, respectively.
The Occupational Therapy Profession in Saudi Arabia

Objective To provide an evidence-based description of how the occupational therapy profession operates in Saudi Arabia. Methods A case study methodology set out an evidence-based description of occupational therapy in Saudi Arabia. Three procedures were used: (1) a structured narrative review of publications on occupational therapy in Saudi Arabia based on searches of seven healthcare databases; (2) an audit of “grey literature” about or referring to occupational therapy education, practice, research, or the profession in Saudi Arabia using Google Scholar, Google search, official documents and websites, and relevant global organisation such as the WFOT website and documents; and (3) consultation with occupational therapists to further discuss emerging evidence from peer-reviewed articles and grey literature about occupational therapy in Saudi Arabia. Data were collected in Arabic and English. Findings. Occupational therapy in Saudi Arabia is a rapidly growing and emerging profession primarily focused on rehabilitation practice. Between 2010 and 2019, seven academic organisations commenced bachelor's degree programmes. Occupational therapy services in Saudi Arabia are concentrated in city-based secondary and tertiary healthcare services targeting rehabilitation and disability support. The practice aims to promote the reduction in impairment and increase activity performance and participation in valued life roles. Despite the increasing demand for occupational therapy services, there needs to be more access to and availability of their services. Enhancement of the awareness of occupational therapy among the public and other healthcare professionals is needed. A consistent definition of occupational therapy in Saudi Arabia would strengthen the profession, along with a national scope of practice, practice guidelines, increased workforce and development, and professional education information. Conclusion Occupational therapy in Saudi Arabia is growing regarding the size of the workforce and the number of programmes and services provided, thus contributing to the health and well-being of the population primarily through rehabilitation. Further development of the profession is necessary.
A Mathematical Analysis of Feature Extraction Methodologies with Application on Leaf Disease Detection

This study compares novel and established feature extraction techniques for classifying leaf diseases. Conventional methods like Transfer Learning and DCT are contrasted with novel techniques like Segmentation using a heterogeneous data set of healthy and diseased leaf images. With little training data, transfer learning is beneficial, but with large data, more efficient algorithms may be more suitable, such as the custom segmentation model described in this work. The development of efficient plant disease detection systems using the information from these discoveries would improve agricultural practises and increase food security.
Influence of needle impact velocity on the jetting effect of a piezoelectric needle-collision jetting dispenser

Many scholars have conducted in-depth analysis on relevant factors that affect the accuracy of jet dispensing. However, research on the influence of needle impact velocity on jetting performance is limited. Thus, a piezoelectric needle-collision dispenser for micro-droplet jetting is designed in this study, and the influence of the needle impact velocity on jetting effect is deeply analyzed. Initially, the principle of droplet formation and injection is analyzed by Fluent simulation. Thereafter, the mathematical model of the droplet velocity in the nozzle orifice is derived, and the influence of the needle impact velocity on the jetting performance is simulated and analyzed. Results show that the needle impact velocity has an influence on the jetting effect. A prototype of the jetting dispenser is subsequently fabricated, and the needle impact velocity is tested with laser micrometer. The relationship between the needle impact velocity and droplet weight and its corresponding ejected effect are obtained through experimental research. Finally, a UV glue with viscosity of 5,000 cps can be ejected with a minimum average diameter of 272.1 μm by using a needle with a radius of 0.5 mm, a nozzle with a diameter of 50 μm, a taper angle of 90°, a supply pressure of 0.2 Mpa, and a needle impact velocity of 0.13 m/s. The variation of the droplet diameter is within ±2.5%. Many scholars have conducted in-depth analysis on relevant factors that affect the accuracy of jet dispensing. However, research on the influence of needle impact velocity on jetting performance is limited. Thus, a piezoelectric needle-collision dispenser for micro-droplet jetting is designed in this study, and the influence of the needle impact velocity on jetting effect is deeply analyzed. Initially, the principle of droplet formation and injection is analyzed by Fluent simulation. Thereafter, the mathematical model of the droplet velocity in the nozzle orifice is derived, and the influence of the needle impact velocity on the jetting performance is simulated and analyzed. Results show that the needle impact velocity has an influence on the jetting effect. A prototype of the jetting dispenser is subsequently fabricated, and the needle impact velocity is tested with laser micrometer. The relationship between the needle impact velocity and droplet weight and its corresponding ejected effect are obtained t.
AG-YOLO: A Rapid Citrus Fruit Detection Algorithm with Global Context Fusion

Citrus fruits hold pivotal positions within the agricultural sector. Accurate yield estimation for citrus fruits is crucial in orchard management, especially when facing challenges of fruit occlusion due to dense foliage or overlapping fruits. This study addresses the issues of low detection accuracy and the significant instances of missed detections in citrus fruit detection algorithms, particularly in scenarios of occlusion. It introduces AG-YOLO, an attention-based network designed to fuse contextual information. Leveraging NextViT as its primary architecture, AG-YOLO harnesses its ability to capture holistic contextual information within nearby scenes. Additionally, it introduces a Global Context Fusion Module (GCFM), facilitating the interaction and fusion of local and global features through self-attention mechanisms, significantly improving the model’s occluded target detection capabilities. An independent dataset comprising over 8000 outdoor images was collected for the purpose of evaluating AG-YOLO’s performance. After a meticulous selection process, a subset of 957 images meeting the criteria for occlusion scenarios of citrus fruits was obtained. This dataset includes instances of occlusion, severe occlusion, overlap, and severe overlap, covering a range of complex scenarios. AG-YOLO demonstrated exceptional performance on this dataset, achieving a precision (P) of 90.6%, a mean average precision (mAP)@50 of 83.2%, and an mAP@50:95 of 60.3%. These metrics surpass existing mainstream object detection methods, confirming AG-YOLO’s efficacy. AG-YOLO effectively addresses the challenge of occlusion detection, achieving a speed of 34.22 frames per second (FPS) while maintaining a high level of detection accuracy. This speed of 34.22 FPS showcases a relatively faster performance, particularly evident in handling the complexities posed by occlusion challenges, while maintaining a commendable balance between speed and accuracy. AG-YOLO, compared to existing models, demonstrates advantages in high localization accuracy, minimal missed detection rates, and swift detection speed, particularly evident in effectively addressing the challenges posed by severe occlusions in object detection. This highlights its role as an efficient and reliable solution for handling severe occlusions in the field of object detection.
Effect of Kerosene on the Growth of Nitrifying Bacteria Isolated From Soil

The environment is being subjected to an increasing amount of stress due to the alterations caused by the pollution of refined petroleum products such as kerosene. These changes might be substantial, which would have a big effect on the environment and, in turn, the farm output. Determining the potential toxicities of kerosene dosage response relationships to sensitive species, like soil microbes, is crucial. This investigation assessed how kerosene affected the nitrifying bacteria that were taken out of farmland's soil. We observed the population changes of the two nitrifying bacteria that were isolated from soil samples after they were exposed to varying concentrations of kerosene (0.5%, 1%, 2%, 5%, and 10%) for duration of 120 hours. Using a mineral salts media, the effects of kerosene on the two nitrifying bacteria were investigated. Samples were taken from the medium every 24 hours to gauge the growth of the bacteria, and a spectrophotometer was used to quantify the turbidity at 600 nm. The result showed that as kerosene concentrations were exposed to these bacteria over longer periods of time, the survivability of Nitrosomonas sp. and Nitrobacter sp. decreased. The toxicity studies' findings demonstrated that the degree of kerosene's toxicity to Nitrosomonas and Nitrobacter species depended on the quantity of pollutants present and the length of the contact period.
The effects of intermittent fasting for patients with multiple sclerosis (MS): a systematic review

Some studies have investigated the impact of intermittent fasting (IF) for patients with multiple sclerosis (MS). We aimed to conduct a comprehensive systematic review to analyze and summarize all clinical studies concerning the effects of IF on patients with MS. We conducted an exhaustive review of information available in the Embase, Cochrane, and PubMed databases up until 1 September 2023. All clinical research relating to the impacts of IF for patients with MS were included. In total, this systematic review encompassed 5 studies, which included four RCTs and one pilot study. Each study involved was assessed of high quality. The results from these studies demonstrate that IF protocols could potentially serve as an effective dietary strategy for managing symptoms and improving the quality of life in individuals afflicted with MS. In conclusion, IF might be a potential beneficial dietary intervention for MS. However, the number of trials in this field is relatively limited. The large-scale clinical trials to investigate the effects of IF for MS are urgently needed, which may be helpful to manage this intricate neuroimmune disorder. Systematic review registration https://inplasy.com, identifier INPLASY2023100021.
Geomorphic fluvial markers reveal transient landscape evolution in tectonically quiescent southern Peninsular India

The morphology of 19 adjacent westward‐flowing and four eastward‐flowing major catchments draining across the Western Ghat escarpment in southern Peninsular India was studied to examine how the channel patterns and their longitudinal profiles reflect the landscape evolution. Field surveys were complemented with the quantitative morphometric analysis of fluvial channel profiles using digital topographic data. Results show distinctive differences between eastward‐ and westward‐flowing drainage systems. The channel profiles of eight westward‐flowing drainage basins show an apparent morphological equilibrium characterized by concave upward shape, whereas most channels from the other westward‐flowing basins display knickpoint(s). All studied eastward‐flowing drainage basins display the morphological signature of disequilibrium in the form of knickpoints. The eastern and western margins of southern Peninsular India have experienced major tectonic events ~120 and ~65 Ma ago, respectively, and are since then tectonically quiescent. All studied westward‐flowing basins share the same Arabian Sea base level, flow over comparable lithologies and developed under similar climatic conditions. The studied eastward‐flowing basins have the Bay of Bengal as base level and similar climatic conditions. Therefore, the spatial variations in catchment morphometry is interpreted as a dynamic response to complex interactions and feedbacks between (i) pre‐existing topography along and across the escarpment margins, and (ii) vigorous drainage piracy in more recent times. We hypothesize that the studied drainage basins have experienced different forcing magnitudes that can be quantified to a first order using the present day topography. Copyright © 2016 John Wiley & Sons, Ltd.