Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlation of laboratory and chest computed tomography findings with clinical severity of COVID-19 pneumonia

Objectives: The aim of this study was to investigate the correlation between clinical and laboratory findings of the disease and chest computed tomography (CT) features in patients diagnosed with novel coronavirus-2019 (COVID-19). Materials and methods: The prospective study included a total of 53 patients (30 males, 23 females; mean age: 54.8±19.9 years; range, 17 to 96 years) who were hospitalized due to COVID-19 between March 2020 and May 2020. A detailed chest CT examination was performed to the patients during hospitalization by a blinded radiologist. The radiological findings were classified according to the literature and frequencies of ground-glass opacities, the number of lobe involvement, consolidation, and posterior lung involvement and bilateral pneumonia. The C-reactive protein (CRP) level was established as the laboratory criterion. The clinical manifestation and severity of the disease and health status of the patients during hospitalization were recorded by a blinded pulmonologist. The severity classification of the disease was classified as mild = 1, common = 2, severe = 3, and critical = 4. Results: The mean CRP levels was 18.1±27.1 U/mL in the mild disease group (n=11) and 108±23.6 U/mL in the critical group (n=8) (p=0.001). The most common findings in the chest CT were ground-glass opacities (n=36, 67.9%). Six (11.3%) patients had no CT findings, while 43 (81.1%) patients had bilateral pneumonia. The presence of ground-glass opacities and consolidation exacerbated the classification of the disease significantly (p=0.001 and p=0.001, respectively). A significant positive correlation was found between age, CRP level, and the number of lobes with pneumonia and severity disease (p=0.049, p=0.001, and p=0.001, respectively; r=0.270, r=0.587, and r=0.625, respectively). Conclusion: Multilobar involvement and consolidation in COVID-19 pneumonia significantly correlate with the clinical severity of the disease and laboratory findings. Therefore, widespread involvement in chest CT during hospitalization may be a warning for the clinician.
Analysis of Sealing Methods for FDM-fabricated Parts

Abstract As a result of the layer-by-layer deposition characteristics of Additive Manufacturing (AM) processes, fabricated parts exhibit limiting qualities and have yet to achieve the requirements for end-use applications. Specifically, the use of AM-fabricated parts in fluid pressure applications is limited due to part porosity as well as non-optimized building variables (e.g., build orientation and material properties). In an effort to extend the use of AM in more applications involving fluid pressure, parts manufactured with Fused Deposition Modeling (FDM) were sealed with a variety of sealants and tested under applied pressure. Eleven sealants with diverse chemical properties were applied to multiple geometries of FDM-fabricated pressure caps through brushing or vacuum infiltration. The caps were installed on pressure vessels and subsequently tested while safety precautions were taken to avoid catastrophic failure (i.e., exploding) caused by pressure differentials. Results of the testing provides a sealing method using BJB TC-1614 that enables FDM-fabricated parts to withstand pressures up to ~276 kPa (40psi) through brushing and ~138 kPa (20 psi) through vacuum infiltration. Other noteworthy sealants (Minwax Sanding Sealer, Minwax Polyurethane Oil Based, PRO Finisher Water-Base Polyurethane) that are readily available to consumers and easy to apply (i.e. no mixing ratios to follow, long working times) also had notable results by withstanding pressures up to ~207 kPa (30 psi). In addition, an analysis on dimensional changes was performed to determine the absolute difference between as-built and surface-treated parts. Parts that were infiltrated with BJB TC-1614 showed less dimensional changes (average absolute change of 0.104 mm) than parts that were brushed (average absolute change of 0.231 mm) however one-part sealants had smaller dimensional changes (maximum absolute change for one-part sealants of 0.065 mm for infiltration and 0.171 for brushing) with noteworthy results in pressure testing. Benefits of filling voids within FDM-manufactured parts enables end-use applications such as hermetic housings for biomedical devices and pipes/covers for thermodynamic systems such as heat exchangers.
Sensitivity and Specificity Analysis of Fine Needle Aspiration Cytology (FNAC) for Thyroid Swelling

Introduction Thyroid gland disorders, such as goiters or tumor masses, are the result of localized or systemic aberrations of the thyroid gland. The purpose of this research was to see how effective fine needle aspiration cytology (FNAC) was in detecting thyroid swelling in patients with thyroid swelling. It is critical to be able to differentiate between benign and malignant thyroid nodules to reduce unnecessary thyroid surgeries. It is hypothesized that FNAC is not a reliable diagnostic tool to detect thyroid nodules in patients with thyroid swelling and that there is a significant variation between the number of thyroid nodules detected by FNAC and the number of thyroid nodules that were eventually diagnosed as malignant by surgery. The significance of this research shows the effectiveness of diagnostic tests for thyroid nodules in patients with thyroid swelling can help reduce unnecessary surgeries and improve patient care. Methods This cross-sectional study was carried out at the Department of Pathology at a tertiary care hospital in central India, from March 1, 2022 to June 31, 2022. Fifty patients with thyroid swelling were covered in the study. All patients were chosen after an ultrasound revealed goiter on clinical grounds. Results The majority of patients in the age group 31-40 years (33.33%) were female (74.67%). About 54.67% of the patients had a single thyroid nodule. FNAC had a sensitivity of 95.38%, a specificity of 53.33%, a positive predictive value of 86.67% and a negative predictive value of 88.57%. Conclusion FNAC is a simple, economical, and commonly used first-line diagnostic method for thyroid cancer. A false negative or false positive cytological diagnosis may be produced as a result of thyroid cytology. The study emphasizes the need to improve basic healthcare in rural India by treating FNAC as a first-line diagnostic test for thyroid swellings to guide management, although it does not replace histopathology.
A SURVEY OF CLOUD COVER OVER MĂGURELE, ROMANIA, USING CEILOMETER AND SATELLITE DATA

This study is focused on the combination of ground-based and satellite observations for the derivation of temporal variability of cloud cover fraction (cloudiness) over Magurele (44.35N; 26.03E) in Romania, between December 1 st 2008 and December 31 st 2011. Ground-based measurements from a mini lidar-ceilometer were combined with measurements of the Aqua and Terra satellite instruments of MODIS (Moderate Resolution Imaging Spectroradiometer) system.
Individual Differences in Risk and Protective Factors: The Role of Self-Compassion Components among Emergency Responders

This study investigates individual differences in protective and risk factors among rescue workers (RWs), particularly Red Cross members, to optimize well-being and job performance under high-stress conditions. Employing a person-centered approach, two psychological profiles were identified: an adaptively resilient profile and a maladaptively vulnerable profile, characterized by distinct personality traits, coping methods, life events, and social support networks. A notable external criterion, self-compassion, discerned the profiles with maladaptively vulnerable individuals who exhibited higher self-judgment, social isolation, and emotional over-identification. The study also examined the impact of job roles on these profiles, discovering a prevalence of adaptive resilience among drivers, contrasting with team members who displayed maladaptive resilience and lower self-compassion scores. These insights suggest a nuanced method for identifying RWs who require specialized support, proposing tailored interventions, especially those enhancing self-compassion. The study, through an extensive psychological metric analysis, provides a deeper comprehension of resilience and vulnerability among RWs. This research highlights the importance of recognizing individual differences in protective and risk factors, thereby contributing to the enhancement of mental health and resilience in high-stress professions.
Functional Characterization of the MsFKF1 Gene Reveals Its Dual Role in Regulating the Flowering Time and Plant Height in Medicago sativa L.

Alfalfa (M. sativa), a perennial legume forage, is known for its high yield and good quality. As a long-day plant, it is sensitive to changes in the day length, which affects the flowering time and plant growth, and limits alfalfa yield. Photoperiod-mediated delayed flowering in alfalfa helps to extend the vegetative growth period and increase the yield. We isolated a blue-light phytohormone gene from the alfalfa genome that is an ortholog of soybean FKF1 and named it MsFKF1. Gene expression analyses showed that MsFKF1 responds to blue light and the circadian clock in alfalfa. We found that MsFKF1 regulates the flowering time through the plant circadian clock pathway by inhibiting the transcription of E1 and COL, thus suppressing FLOWERING LOCUS T a1 (FTa1) transcription. In addition, transgenic lines exhibited higher plant height and accumulated more biomass in comparison to wild-type plants. However, the increased fiber (NDF and ADF) and lignin content also led to a reduction in the digestibility of the forage. The key genes related to GA biosynthesis, GA20OX1, increased in the transgenic lines, while GA2OX1 decreased for the inactive GA transformation. These findings offer novel insights on the function of MsFKF1 in the regulation of the flowering time and plant height in cultivated M. sativa. These insights into MsFKF1’s roles in alfalfa offer potential strategies for molecular breeding aimed at optimizing flowering time and biomass yield.
Fast mode decomposition for few-mode fiber based on lightweight neural network

In this paper, we present a fast mode decomposition method for few-mode fibers, utilizing a lightweight neural network called MobileNetV3-Light. This method can quickly and accurately predict the amplitude and phase information of different modes, enabling us to fully characterize the optical field without the need for expensive experimental equipment. We train the MobileNetV3-Light using simulated near-field optical field maps, and evaluate its performance using both simulated and reconstructed near-field optical field maps. To validate the effectiveness of this method, we conduct mode decomposition experiments on a few-mode fiber supporting six linear polarization (LP) modes (LP01, LP11e, LP11o, LP21e, LP21o, LP02). The results demonstrate a remarkable average correlation of 0.9995 between our simulated and reconstructed near-field light-field maps. And the mode decomposition speed is about 6 ms per frame, indicating its powerful real-time processing capability. In addition, the proposed network model is compact, with a size of only 6.5 MB, making it well suited for deployment on portable mobile devices.
Constraining Projection-Based Estimates of the Future North Atlantic Carbon Uptake

AbstractThe North Atlantic is one of the major sinks for anthropogenic carbon in the global ocean. Improved understanding of the underlying mechanisms is vital for constraining future projections, which presently have high uncertainties. To identify some of the causes behind this uncertainty, this study investigates the North Atlantic’s anthropogenically altered carbon uptake and inventory, that is, changes in carbon uptake and inventory due to rising atmospheric CO2 and climate change (abbreviated as -uptake and -inventory). Focus is set on an ensemble of 11 Earth system models and their simulations of a future with high atmospheric CO2. Results show that the model spread in the -uptake originates in middle and high latitudes. Here, the annual cycle of oceanic pCO2 reveals inherent model mechanisms that are responsible for different model behavior: while it is SST-dominated for models with a low future -uptake, it is dominated by deep winter mixing and biological production for models with a high future .
The genesis and evolution of subcontinental lithospheric mantle beneath Botswana and N. South Africa

The processes that led to the formation and stabilisation of sub continental lithospheric mantle (SCLM) remain a matter of debate (e.g., Pearson & Wittig, 2014; Aulbach et al., 2017). Resolving this question is required to determine how the SCLM is subsequently modified over time and to establish possible links between specific events within the mantle and diamond formation. This project reports on a project designed to obtain an integrated view of the SCLM beneath the north-west portion of the Kalahari Cration. The region was chosen specifically to assess the effects of amalgamation of the Kaapvaal and Zimbabwe Cratons and the subsequent formation of the MesoPalaeoproterozic Magondi-Gweta and Choma-Kaloma Terranes. Over the last decade peridotite xenoliths have been sampled from open pits and drill cores from the Jwaneng, Orapa and Letlhakane (Botswana ~92 Ma) and Venetia (Limpopo Mobile Belt, northern South Africa ~530 Ma) diamond mines with the aim of determining the timing and processes responsible for the formation and subsequent modification of the SCLM. Samples were subjected to detailed petrological studies and selected samples to whole rock major and trace element and Re-Os isotope analysis and mineral major and trace element and coupled Sr-Nd-Hf isotope analysis.
Assessment of the Air pollution tolerance capacity of trees for development of greenery around the industrial area

The effectiveness of trees for reducing air pollution has been widely recognized. To mitigate the threat of pollution, it is essential to increase tree planting in industrial areas. It is essential for selecting plants that can withstand air pollution while developing a green belt. The present study is on evaluation of air pollution tolerance index for fifteen dominated tree species around the industrial area Sirgitti, Bilaspur. The leaves samples were collected for analysis of several biochemical parameters such as leaf pH, ascorbic acid, total chlorophyll, and relative water content and APTI. The highest APTI value was recorded in Moringa oleifera (13.83) and lowest in Butea monosperma (7.81) followed by Neolamarckia cadamba (11.27) , Peltophorum petrocarpum (11.01) , Ficus benghalensis (10.89) , Saraca asoca (10.85) , Ficus religiosa (10.29) , Melia azedarach (9.98) , Acacia nilotica (9.71) , Azadirachta indica (9.62) , Eculaptus alba (8.91) , Millettia pinnata (8.82) , Tectona grandis (8.61) , Ziziphus mauritiana (8.22) , and Syzygium cumini (8.08) were estimated for tolerance trees in industrial area. High APTI value tree species are tolerant to air pollution and also best suited for the green belt development in industrial area.
Locomotion Score and Postpartum Conception in Jersey Cows Raised under Hot–Humid Tropical Conditions: A Prospective Study

Simple Summary Rearing livestock in tropical conditions is a crucial challenge for sustainable production in equatorial countries, where cattle are more exposed to more extreme environmental conditions than those of their origin. Jersey milking cows raised under hot–humid tropical conditions were scored for lameness, and the results were related to postpartum conception. Lameness affected reproductive performance, since more than double the number of inseminations was required to conceive, increasing the days open and decreasing the herd’s conception rate. Systematic locomotion scoring represents a fundamental routine procedure to maintain a healthy herd in terms of both foot health and reproductive performance in tropical dairy herds, where environmental conditions greatly worsen common production diseases such as lameness. Abstract Reproductive physiology is one of the first systems which is altered when an animal suffers from an imbalance. This is crucial in tropical dairy farming, where maintaining homeostasis and production is particularly demanding. Lameness is a disorder commonly identified by impaired walking, but its early diagnosis could reduce the negative repercussions on production, welfare, and postpartum conception. To evaluate the effect of lameness on postpartum conception, a prospective observational cohort study with a cross-sectional design was developed. Fifty-two Jersey milking cows raised under hot–humid tropical conditions were scored using a five-point locomotion scoring (LS) system (1—non-lame, 2—slightly lame, 3—moderately lame, 4—lame, and 5—severely lame), considering scores ≥ 3 to indicate clinical lameness. Inseminations per conception and days open (CCI) were registered. Inseminations were similar in animals scoring 1, 2, 3, and 5, while they increased in cows with a score of 4, which also increased their CCI along with animals that scored 5. Positive correlations were observed between LS and reproductive variables. The herd’s conception rate was reduced from 45% to 21.8% in the presence of clinical lameness (score ≥ 3). Applying the LS system should be essential as part of routine medical examinations used to monitor dairy herds, and it becomes even more crucial under hot–humid tropical environments, where adverse conditions could rapidly aggravate the early stages of lameness and not only increase the costs of hoof care, but also delay fertility in cattle.
Fish Biomass and Community Structure Around Standing and Toppled Oil and Gas Platforms in the Northern Gulf of Mexico Using Hydroacoustic and Video Surveys

xiii CHAPTER 1: GENERAL INTRODUCTION . 1 Literature Cited . 12 CHAPTER 2: SPATIAL BIOMASS DISTRIBUTION OF FISH AROUND STANDING AND TOPPLED OIL AND GAS PLATFORMS IN THE NORTHERN GULF OF MEXICO . 18 Introduction . 18 Methods . 21 Study Area . 21 Sampling Method . 24 Data Processing . 26 Data Analysis . 28 Results . 31 Nekton data set . 33 Fish data set . 35 Discussion . 37 Literature Cited . 43 CHAPTER 3: COMMUNITY STRUCTURE AND BIOMASS APPORTIONMENT OF FISHES AROUND STANDING AND TOPPLED OIL AND GAS PLATFORMS IN THE NORTHERN GULF OF MEXICO . 47 Introduction . 47 Methods . 52 Study Area . 52 Sampling Method . 55 Video Collection . 55 Standing Platforms . 55 Toppled Platforms . 57 Data Processing . 58 Video Data . 58 Biomass Apportioning . 60 Data Analysis . 61 Video Data . 61 Biomass Apportioning . 63
Prevalence and pattern of contraceptive uptake among adolescents in an internally displaced camp, North Central, Nigeria

Internally displaced Persons are marginally sidelined in many areas of life, reproductive health issues inclusive. There is a need to know the prevalence and pattern of contraceptive use among this vulnerable group of people. This study determined the prevalence and pattern of contraceptive uptake among internally displaced adolescents in North-Central Camp, Abuja, Nigeria. A descriptive cross-sectional study, among 403 adolescents using semi-structured questionnaires. The mean age of the respondents was 19.53±6.4 years and 21.34±7.34 years at first birth. Awareness about FP was high, (483, 95.0%), however, only 169 (41.9%) ever used a family planning method, while 82 (20.3%) were current users, 72 (42.6%) of the 169 ever users admitted to have used pills, while 44 (53.7%) of the 82 current users were using condom only. One third, 160 (39.7%), were pregnant, while 78 (19.4%) of those pregnant were unintentional, therefore the unintended pregnancy rate was 19.4%. Bivariate analysis revealed that respondents' use of contraceptive was significantly related to religion (<0.001), ethnic group (<0.001), marital status (<0.001), family type (<0.001), and educational attainment (<0.001). While respondents' knowledge of contraceptive was significantly associated with age (P<0.00000001), educational level (P<0.002), and ethnic group (P<0.001). The prevalence of contraceptive use among respondents was 20.3%, while 41.9% ever used a method. Pill was the major Family planning method ever used, while condom was mostly used by the current users.
Characteristics of Resting-State Electroencephalogram Network in α-Band of Table Tennis Athletes

Background: Table tennis athletes have been extensively studied for their cognitive processing advantages and brain plasticity. However, limited research has focused on the resting-state function of their brains. This study aims to investigate the network characteristics of the resting-state electroencephalogram in table tennis athletes and identify specific brain network biomarkers. Methods: A total of 48 healthy right-handed college students participated in this study, including 24 table tennis athletes and 24 controls with no exercise experience. Electroencephalogram data were collected using a 64-conductive active electrode system during eyes-closed resting conditions. The analysis involved examining the average power spectral density and constructing brain functional networks using the weighted phase-lag index. Network topological characteristics were then calculated. Results: The results revealed that table tennis athletes exhibited significantly higher average power spectral density in the α band compared to the control group. Moreover, athletes not only demonstrated stronger functional connections, but they also exhibited enhanced transmission efficiency in the brain network, particularly at the local level. Additionally, a lateralization effect was observed, with more potent interconnected hubs identified in the left hemisphere of the athletes’ brain. Conclusions: Our findings imply that the α band may be uniquely associated with table tennis athletes and their motor skills. The brain network characteristics of athletes during the resting state are worth further attention to gain a better understanding of adaptability of and changes in their brains during training and competition.
A Simple and Universal Aerosol Retrieval Algorithm for Landsat Series Images Over Complex Surfaces

Operational aerosol optical depth (AOD) products are available at coarse spatial resolutions from several to tens of kilometers. These resolutions limit the application of these products for monitoring atmospheric pollutants at the city level. Therefore, a simple, universal, and high‐resolution (30 m) Landsat aerosol retrieval algorithm over complex urban surfaces is developed. The surface reflectance is estimated from a combination of top of atmosphere reflectance at short‐wave infrared (2.22 μm) and Landsat 4–7 surface reflectance climate data records over densely vegetated areas and bright areas. The aerosol type is determined using the historical aerosol optical properties derived from the local urban Aerosol Robotic Network (AERONET) site (Beijing). AERONET ground‐based sun photometer AOD measurements from five sites located in urban and rural areas are obtained to validate the AOD retrievals. Terra MODerate resolution Imaging Spectrometer Collection (C) 6 AOD products (MOD04) including the dark target (DT), the deep blue (DB), and the combined DT and DB (DT&DB) retrievals at 10 km spatial resolution are obtained for comparison purposes. Validation results show that the Landsat AOD retrievals at a 30 m resolution are well correlated with the AERONET AOD measurements (R2 = 0.932) and that approximately 77.46% of the retrievals fall within the expected error with a low mean absolute error of 0.090 and a root‐mean‐square error of 0.126. Comparison results show that Landsat AOD retrievals are overall better and less biased than MOD04 AOD products, indicating that the new algorithm is robust and performs well in AOD retrieval over complex surfaces. The new algorithm can provide continuous and detailed spatial distributions of AOD during both low and high aerosol loadings.