Miracle-dz/UniFAR-FTUs huggingface dataset:
A Spatial-Economic Cost-Reduction Pathway Analysis for U.S. Offshore Wind Energy Development from 2015–2030

The potential for cost reduction and economic viability for offshore wind varies considerably within the United States. This analysis models the cost impact of a range of offshore wind locational cost variables across more than 7,000 potential coastal sites in the United States' offshore wind resource area. It also assesses the impact of over 50 technology innovations on potential future costs between 2015 and 2027 (Commercial Operation Date) for both fixed-bottom and floating wind systems. Comparing these costs to an initial assessment of local avoided generating costs, this analysis provides a framework for estimating the economic potential for offshore wind. Analyzing economic potential within this framework can help establish a refined understanding across industries of the technology and site-specific risks and opportunities associated with future offshore wind development. The findings from the original report indicate that under the modeled scenario, offshore wind can be expected to achieve significant cost reductions and may approach economic viability in some parts of the United States within the next 15 years.
Measurement and modeling of self-heating effects in SOI nMOSFETs

Self-heating effects in SOI nMOSFETs are measured and modeled. Temperature rises in excess of 100 K are observed for SOI devices under static operating conditions. The measured temperature rise agrees well with the predictions of the analytical model, and is found to be a function of the silicon thickness, buried oxide thickness, and channel-metal contact separation. This work facilitates the optimization of these dimensions to improve device cooling, and provides the foundation for the calculation of circuit parameters for dynamic operation from static device characterization data. Self-heating effects do not appear to limit SOI circuit performance, but might influence device design for 0.25 mu m technologies and below. <<ETX>>
A system-on-chip for series arc fault acquisition in smart grid based on two configurable sampling rate SAR ADCs

Arc faults in power systems may cause signiﬁcant damage to equipment and even lead to electrical ﬁres and hazard for personnel if they are not detected and isolated promptly. The series arc fault in a distribution system can be more dangerous compared to the parallel arc fault, because its low fault current will hinder the circuit breakers from responding in a timely manner. Therefore, it is necessary to properly detect the series arc fault. In this paper, a system-on-chip (SoC) for series AC arc fault acquisition is presented, which is based on two channels of conﬁgurable sampling rate successive approximation register (SAR) analog-to-digital-converters (ADCs). As the arc faults with diﬀerent loads have diﬀerent characteristics and may need a higher sampling rate under some circumstances, the adjustable sampling rate can meet varying needs. The system is implemented using a 55 nm CMOS process with a die area of 4.683 mm 2 and power dissipation of 75.9 mW. The proposed SAR ADC design can achieve a good Schreier ﬁgure-of-merit (FoM) of 161 dB at 1 MS/s sampling rate. With this ADC design, the SoC can complete arc faults acquisition with high precision and conﬁgurable sampling rate at a low cost. Meanwhile, the system can sample voltage and current signals from the smart grid respectively to initially locate the arc fault. words:
Measuring Corrosion on Vehicles, in Real-Time, Using Digital Imaging and Analysis Techniques

This research outlines a digital imaging method under development to systemize a rapid in-field corrosion evaluation measure, to evaluate and monitor the degree of corrosion on target corrosion-prone parts on light-duty vehicles. This procedure uses digital imaging to study and compare corrosion levels of 228 vehicles that were treated with aftermarket applications of corrosion prevention products versus 141 vehicles that were untreated. It introduces a Corrosion Index (CI) as a common measure. Single-factor and two-factor analysis of variance (ANOVA) of the digitally-based corrosion measurements show statistically significant correlations between CI and treatment (treated versus untreated), as well as CI, vehicle age, and treatment. The ANOVA results show that the aftermarket-treated vehicles have statistically significantly less corrosion than the untreated vehicles, demonstrating that digital image analysis is a viable method of measuring corrosion on corrosion-prone vehicle parts, offering the potential to monitor and track the performance/efficacy of aftermarket corrosion treatment in real-time.
Phytochemical Profiling, Antimicrobial and α-Glucosidase Inhibitory Potential of Phenolic-Enriched Extracts of the Aerial Parts from Echium humile Desf.: In Vitro Combined with In Silico Approach

The current study aimed to evaluate the naturally occurring antimicrobial and antidiabetic potential of various Echium humile (E. humile) solvent extracts (hexane, dichloromethane, ethyl acetate, methanol and aqueous). The bioactive compounds were identified using HPLC–MS, revealing the presence of sixteen phytochemical compounds, with the most abundant being p-coumaric acid, followed by 4,5-di-O-caffeoylquinic acid, trans-ferulic acid and acacetin. Furthermore, E. humile extracts showed marked antimicrobial properties against human pathogen strains, with MIC values for the most relevant extracts (methanol and ethyl acetate) ranging from 0.19 to 6.25 mg/mL and 0.39 to 12.50 mg/mL, respectively. Likewise, methanol was found to be bactericidal towards S. aureus, B. cereus and M. luteus, fungicidal against P. catenulatum and F. oxysporum and have a bacteriostatic/fungicidal effect for the other strains. In addition, the E. humile methanolic extract had the greatest α-glucosidase inhibitory effect (IC50 = 0.06 ± 0.29 mg/mL), which is higher than the standard drug, acarbose (IC50 = 0.80 ± 1.81 mg/mL) and the aqueous extract (IC50 = 0.70 ± 0.67 mg/mL). A correlation study between the major phytochemicals and the evaluated activities was investigated. Docking studies evidenced that most of the identified phenolic compounds showed strong interactions into the binding sites of S. aureus tyrosyl-tRNA synthetase and human lysosomal acid-α-glucosidase, confirming their suitable inhibitory effect. In summary, these results may provide rational support to explore the clinical efficacy of E. humile and its secondary metabolites in the treatment of dual diabetes and infections.
Genetic Characteristics According to Subgroup of Acute Myeloid Leukemia with Myelodysplasia-Related Changes

Acute myeloid leukemia with myelodysplasia-related changes (AML-MRC) includes heterogeneous conditions such as previous history and specific cytogenetic and morphological properties. In this study, we analyze genetic aberrations using an RNA-based next-generation sequencing (NGS) panel assay in 45 patients with AML-MRC and detect 4 gene fusions of KMT2A-SEPT9, KMT2A-ELL, NUP98-NSD1, and RUNX1-USP42 and 81 somatic mutations. Overall, all patients had genetic aberrations comprising of not only cytogenetic changes, but also gene fusions and mutations. We also demonstrated several characteristic genetic mutations according to the AML-MRC subgroup. TP53 was the most commonly mutated gene (n = 11, 24%) and all were found in the AML-MRC subgroup with myelodysplastic syndrome-defining cytogenetic abnormalities (AML-MRC-C) (p = 0.002). These patients showed extremely poor overall survival not only in AML-MRC, but also within the AML-MRC-C subgroup. The ASXL1 (n = 9, 20%) and SRSF2 (n = 7, 16%) mutations were associated with the AML-MRC subgroup with >50% dysplasia in at least two lineages (AML-MRC-M) and were frequently co-mutated (55%, 6/11, p < 0.001). Both mutations could be used as surrogate markers to diagnose AML-MRC, especially when the assessment of multilineage dysplasia was difficult. IDH1/IDH2 (n = 13, 29%) were most commonly mutated in AML-MRC, followed by CEBPA (n = 5, 11%), PTPN11 (n = 5, 11%), FLT3 (n = 4, 9%), IDH1 (n = 4, 9%), and RUNX1 (n = 4, 9%). These mutations were not limited in any AML-MRC subgroup and could have more significance as a risk factor or susceptibility marker for target therapy in not only AML-MRC, but also other AML categories.
Experimental Study on Self-Centering Performance of the SMA Fiber Reinforced ECC Composite Beam

The combination of superelastic shape memory alloy fibers and ECC materials can form a new SMA fiber reinforced ECC composite material (SMAF-ECC) with good self-centering performance. In order to study the self-centering performance of the new composite material, 6 groups of pre-notch beam specimens were made for three-point bending cyclic loading tests, and the failure phenomenon, hysteresis curve, self-centering effect and influencing factors of the specimens were analyzed. The research results show that when the SMA fibers are effectively anchored in the ECC matrix, the SMA fibers can exert the superelastic properties to provide the ECC beams with recoverying force, and realize the crack self-closure and deflection self-recovery function for the beams, with the minimum residual crack width and deflection is only 0.9 mm and 1.3 mm respectively. Increasing fiber content can cause a small increase in the self-centering ability of the beams. However, only when the fiber diameter is appropriate, better self-centering effect can be achieved, but the difference caused by fiber diameter in the test was only 5%. SMA Fiber end forms have significant influence on self-centering performance. The knotted end beam can get a more than 70% self-centering ratio, while the straight end beams and bended end beams have no self-centering ability. The research results provide important reference for the research and application of this new self-centering materials and their structures.
Cannabis sativa CBD Extract Shows Promising Antibacterial Activity against Salmonella typhimurium and S. newington

Products derived from Cannabis sativa L. have gained increased interest and popularity. As these products become common amongst the public, the health and potential therapeutic values associated with hemp have become a premier focus of research. While the psychoactive and medicinal properties of Cannabis products have been extensively highlighted in the literature, the antibacterial properties of cannabidiol (CBD) have not been explored in depth. This research serves to examine the antibacterial potential of CBD against Salmonella newington and S. typhimurium. In this study, we observed bacterial response to CBD exposure through biological assays, bacterial kinetics, and fluorescence microscopy. Additionally, comparative studies between CBD and ampicillin were conducted against S. typhimurium and S. newington to determine comparative efficacy. Furthermore, we observed potential resistance development of our Salmonella spp. against CBD treatment.
REAL-TIME MARINE ANIMAL DETECTION USING YOLO-BASED DEEP LEARNING NETWORKS IN THE CORAL REEF ECOSYSTEM

Abstract. In recent years, with the advancement of marine resources and environment research, the ecological functions of reef-building coral reef ecosystems distributed in warm shallow waters of the ocean are being continuously discovered and valued by people. It is important for ecosystem protection to monitor the population of marine animals. Besides, many projects of Autonomous Underwater Vehicle (AUV) also need technology to perceive and understand environment information in real-time for better decision-making. Therefore, marine animal detection has become a challenge for researchers to study nowadays. Deep neural network models have been used to solve fish-related tasks and gained encouraging achievements, but there are still many problems in this field. In this paper, several YOLO-based methods are chosen for comparison. Experiment results indicate that these methods can recognize the marine animals in coral reef quickly and accurately. Finally, several recommendations for model improvement according to assessment results are presented.
The pharmacological mechanism of quercetin as adjuvant therapy of COVID-19

The emergence of novel severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has caused the global outbreak and major public health concern. After the outbreak human-to-human transmission was confirmed with or without symptoms of upper and lower respiratory tract involvement. Up to date, there has been evidence that COVID-19 is beyond that of a typi-cal pulmonary disease and revealing pathomechanics of COVID-19-associated acute respiratory distress syndrome (CARDS), which include severe inflammation and pulmonary edema leading to impaired alveolar homeostasis, and resulting in an alteration of lung physiology, lung fibrosis, inflammation of endothelium, vascular thrombosis, as well as exaggerated immune response. Concerning this pathophysiology, the use of quercetin as phytotherapeutic may merit in the management of COVID-19 patients. In this review, the authors wish to elaborate on the molecular eﬀ ect of quercetin on SARS-CoV-2 by giving a detailed mechanism of quercetin against the binding of the S-protein of the virus to angiotensin-converting enzyme 2 (ACE2) receptors, the main protease (M pro ) or 3C-like protease (3CL pro ), papain-like protease (PL pro ), and RNA-dependent RNA polymerase (RdRP). Recent clinical evidence supporting the use of quercetin in COVID-19 management is also discussed in this paper.
Implementing a Statistical Parametric Speech Synthesis System for a Patient with Laryngeal Cancer

Total laryngectomy, i.e., the surgical removal of the larynx, has a profound influence on a patient’s quality of life. The procedure results in a loss of natural voice, which in effect constitutes a significant socio-psychological problem for the patient. The main aim of the study was to develop a statistical parametric speech synthesis system for a patient with laryngeal cancer, on the basis of the patient’s speech samples recorded shortly before the surgery and to check if it was possible to generate speech quality close to that of the original recordings. The recording made use of a representative corpus of the Polish language, consisting of 2150 sentences. The recorded voice proved to indicate dysphonia, which was confirmed by the auditory-perceptual RBH scale (roughness, breathiness, hoarseness) and by acoustical analysis using AVQI (The Acoustic Voice Quality Index). The speech synthesis model was trained using the Merlin repository. Twenty-five experts participated in the MUSHRA listening tests, rating the synthetic voice at 69.4 in terms of the professional voice-over talent recording, on a 0–100 scale, which is a very good result. The authors compared the quality of the synthetic voice to another model of synthetic speech trained with the same corpus, but where a voice-over talent provided the recorded speech samples. The same experts rated the voice at 63.63, which means the patient’s synthetic voice with laryngeal cancer obtained a higher score than that of the talent-voice recordings. As such, the method enabled for the creation of a statistical parametric speech synthesizer for patients awaiting total laryngectomy. As a result, the solution would improve the quality of life as well as better mental wellbeing of the patient.
Synergistic Plant-Microbe Interactions between Endophytic Actinobacteria and Their Role in Plant Growth Promotion and Biological Control of Cotton under Salt Stress

Bacterial endophytes are well-acknowledged inoculants to promote plant growth and enhance their resistance toward various pathogens and environmental stresses. In the present study, 71 endophytic strains associated with the medicinal plant Thymus roseus were screened for their plant growth promotion (PGP), and the applicability of potent strains as bioinoculant has been evaluated. Regarding PGP traits, the percentage of strains were positive for the siderophore production (84%), auxin synthesis (69%), diazotrophs (76%), phosphate solubilization (79%), and production of lytic enzymes (i.e., cellulase (64%), lipase (62%), protease (61%), chitinase (34%), and displayed antagonistic activity against Verticillium dahliae (74%) in vitro. The inoculation of strain XIEG05 and XIEG12 enhanced plant tolerance to salt stress significantly (p < 0.05) through the promotion of shoot, root development, and reduced the activities of antioxidant enzymes (SOD, POD, and CAT), compared with uninoculated controls in vivo. Furthermore, inoculation of strain XIEG57 was capable of reducing cotton disease incidence (DI) symptoms caused by V. dahliae at all tested salt concentrations. The GC-MS analysis showed that many compounds are known to have antimicrobial and antifungal activity. Our findings provide valuable information for applying strains XIEG05 and XIEG12 as bioinoculant fertilizers and biological control agent of cotton under saline soil conditions.
Evaluation of IL-3, IL-5, and IL-6 concentration in the follicular fluid of women with endometriosis: A cross-sectional study

Abstract Background Endometriosis is associated with abnormal immunologic responses and combined inflammatory and anti-inflammatory conditions. Objective This study aims to investigate follicular fluid (FF) concentration of interleukin (IL)-3, IL-5, and IL-6 in women with and without endometriosis. Materials and Methods In this cross-sectionalstudy 68 women who were referred to the in vitro fertilization center of Imam Reza hospital in Mashhad during 2018 were selected randomly. Leaves of cytokines in the FF samples were evaluated in the endometriosis and the control group (n = 34/each). The diagnostic accuracy of cytokines and clinical characteristics were evaluated. Results IL-3 and IL-6 were significantly changed in the FF of the women with endometriosis compared with the control group (p = 0.04, and p < 0.01, respectively), and the mean concentration of IL-5 in the endometriosis group was lower than in the control group (p = 0.5), but this was not significant. There were significant differences in the menstrual cycle, dyspareunia, and dysmenorrhea between the groups (p < 0.01, p = 0.04, and p = 0.02, respectively). The diagnostic accuracy of IL-3 and IL-6 in the FF was low, with the area under the curve of 0.614 and 0.645, respectively. Conclusion Although none of the cytokines had a predictive value for endometriosis, the decreased levels of IL-3 and increased levels of IL-6 in the FF samples of women with endometriosis, and risk factors, including irregular menstrual cycle, dyspareunia, and dysmenorrhea, could be associated with the pathogenesis of this painful disease.
The Relationship Between Parametrial Involvement and Parametrial Tissue Removed in Radical Surgery in Early-Stage Cervical Cancer

Background The study aims to evaluate the effect of parametrial dimensions on the prognosis of cases who underwent type 3 radical hysterectomy or radical trachelectomy in early-stage cervical cancer (stage I - IIa). Methods Medical reports of patients with early-stage cervical cancer who have undergone surgery between 1998 and 2020 in Akdeniz University Faculty of Medicine Gynecological Oncology Clinic were reviewed retrospectively. A total of 292 cases were identified and included in the study. Demographic characteristics, preoperative examination findings, operation records, and pathology results of the cases were reviewed. Results Parametrial involvement was found histopathologically negative in 244 out of 292 patients included in our study, the remaining 48 (16.4%) patients were found to be positive. The mean length of the right and left parametrium in the group with negative parametrium invasion, who had an average follow-up of 131.2 (0.57 - 268.2) months, was 3 cm, while the mean volume of the right and left parametrium was 7.2 (0.52 - 32) cm3 and 6 (0.48 - 34) cm3, respectively. On the other hand, the mean length of the right and left parametrium was 3 (1.5 - 5.5) cm and 3 (1.4 - 7) cm, respectively, while the mean volume of the right parametrium was 5.55 (1.37 - 22) cm3, and the mean volume of the left parametrium was 7.5 (1.35 - 24) cm3 in 48 patients with positive parametrial invasion. No statistically significant difference was detected between the two groups when compared in terms of parametrial sizes and volumes (P values of 0.061, 0.262, 0.391, and 0.468, respectively). Conclusions Radical surgical approach is necessary to obtain a tumor-free surgical margin in the surgical treatment of early cervical cancer, but the complications leading to morbidity and mortality are also increasing with this radicality. For this reason, we consider that it is important to adapt the dimensions of the removed parametrium according to the factors affecting recurrence in cervical cancer to obtain more appropriate surgical margins with the least complications.
Assessment of metabolic syndrome in infertile women with polycystic ovary syndrome in a rural population of South India: A cross-sectional study

Abstract Background Polycystic ovary syndrome (PCOS) is known to be associated with metabolic syndrome (MS). It is characterised by insulin resistance, hyperinsulinemia, dyslipidemia, obesity and hypertension. Data related to MS in infertile women with PCOS are limited in Indian populations. Objective This study aims to compare the prevalence of MS in infertile women with and without PCOS in a rural population in South India. Materials and Methods 130 women with PCOS and 130 women without PCOS were enrolled in this cross-sectional study. A detailed history was taken and a physical examination was done for all women. Anthropometric parameters, a glucose tolerance test, fasting glucose / insulin levels, trigylcerides, high-density lipoprotein cholesterol and blood pressure were assessed in all participants. The International Diabetes Federation criteria were applied for assessment of MS. Results MS was more prevalent in infertile women with PCOS (42.3%) compared to women without PCOS (19.3%). 56.9% of women with PCOS had low high-density lipoprotein cholesterol levels, 46.2% had high triglycerides, 71.5% had a high waist circumference, 31.5% had high blood pressure and 37.7% had high blood glucose levels. 26.0% of the women with PCOS had a healthy weight, and MS was seen in 6.9% of these women. Conclusion The prevalence of MS was higher in women with PCOS in comparison to women without PCOS. Among the women with PCOS, the prevalence of MS increased with age ( > 27 yr), body mass index and waist circumference (71.5%), and even healthy women with PCOS contributed to 7% of MS. Hence it becomes necessary to screen all women with PCOS for metabolic profile risk factors at young age itself to prevent long term cardiovascular complications.
Changes in Vegetation Dynamics and Relations with Extreme Climate on Multiple Time Scales in Guangxi, China

Understanding the responses of vegetation to climate extremes is important for revealing vegetation growth and guiding environmental management. Guangxi was selected as a case region in this study. This study investigated the spatial-temporal variations of the Normalized Difference Vegetation Index (NDVI), and quantitatively explored effects of climate extremes on vegetation on multiple time scales during 1982–2015 by applying the Pearson correlation and time-lag analyses. The annual NDVI significantly increased in most areas with a regional average rate of 0.00144 year−1, and the highest greening rate appeared in spring. On an annual scale, the strengthened vegetation activity was positively correlated with the increased temperature indices, whereas on a seasonal or monthly scale, this was the case only in spring and summer. The influence of precipitation extremes mainly occurred on a monthly scale. The vegetation was negatively correlated with both the decreased precipitation in February and the increased precipitation in summer months. Generally, the vegetation significantly responded to temperature extremes with a time lag of at least one month, whereas it responded to precipitation extremes with a time lag of two months. This study highlights the importance of accounting for vegetation-climate interactions.