Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Urbanization on Flow Duration and Stream Flashiness: A Case Study of Puget Sound Streams, Western Washington, USA

The overall influence of urbanization on how flows of different frequency might change over time, while important in hydrologic design, remains imprecisely known. In this study, we investigate the effects of urbanization on flow duration curves (FDCs) and flow variability through a case study of eight watersheds that underwent different amounts of growth, in the Puget Sound region in Western Washington State, United States. We computed annual FDCs from flow records spanning 1960‐2010 and, after accounting for the effects of precipitation, we conducted statistical trend analyses on flow metrics to quantify how key FDC percentiles changed with time in response to urbanization. In the urban watersheds, the entire FDC tended to increase in magnitude of flow, especially the 95th‐99th percentile of the daily mean flow series, which increased by an average of 43%. Stream flashiness in urban watersheds was found to increase by an average of 70%. The increases in FDC magnitude and flashiness in urbanizing watersheds are most likely a result of increasing watershed imperviousness and altered hydrologic routing. Rural watersheds were found to have decreasing FDC magnitude over the same time period, which is possibly due to anthropogenic extractions of groundwater, and increasing stream flashiness, which is likely a result of reductions in base flow and increasing precipitation intensity and variability.
Nanoimprinted Exciton-Polaritons Metasurfaces:Cost-Effective, Large-Scale, High Homogeneity,and Room Temperature Operation

Exciton-polaritons represent a promising platform that combines the strengths of both photonic and electronic systems for future optoelectronic devices. However, their application is currently limited to laboratory research due to the high cost and complexity of fabrication methods, which are not compatible with the mature CMOS technology developed for microelectronics. In this work, we develop an innovative, low-cost, and CMOS-compatible method for fabricating large surface polaritonic devices. This is achieved by direct patterning of a halide-perovskite thin film via thermal nanoimprint. As a result, we observe highly homogeneous polaritonic modes of quality factor $Q\approx 300$ at room temperature across a centimetric scale. Impressively, the process provides high reproducibility and fidelity, as the same mold can be reused more than 10 times to imprint the perovskite layer on different types of substrates. Our results could pave the way for the production of low-cost integrated polaritonic devices operating at room temperature.
Proactive Work Behavior in Generation Z Employees

Generation Z employees require proactive work behavior to be more motivated, prepared, and efficient. Proactive behavior requires actions that originate from oneself, but others' perceptions of employees' proactive behavior may be influenced by personal characteristics such as gender. The objective This study aimse profile of proactive work behavior among Generation Z employees and determine if there are differences in proactive behavior between women and men. This study utilizes a descriptive analysis design to understand the profile of proactive work behavior among Generation Z employees. An online survey was conducted using convenience sampling techniques, with a sample size of 50 respondents who are Generation Z employees. Data collection in the survey utilized a modified questionnaire from proactive socialization tactics. This research uses descriptive analysis techniques and produces results showing thatshows among Generation Z employees is high, at 52%. Only 2% fall into the low category, while the remaining 46% fall into the moderate category. The dimension with the highest percentage is positive framing (72%), followed by general socializing (58%), information seeking as well as job change negotiating (54%). Furthermore, it is also found that there is no significant difference in proactive behavior based on gender.
Antimicrobial resistance and molecular characteristics of Neisseria gonorrhoea isolates in Ghana

Introduction. Gonorrhoea is a disease associated with humans and caused by Neisseria gonorrhoea. N. gonorrhoea’s ability to evolve and evade various treatment regimens can lead to untreatable gonorrhoea. In the absence of a viable vaccine and a national database on the antimicrobial resistance (AMR) and molecular characteristics of N. gonorrhoea, and with reliance on a syndromic management regime, continuous national antimicrobial resistance surveillance and molecular characterization of N. gonorrhoea remain imperative. Only two gonococcal studies have described N. gonorrhoea’s molecular characteristics linked to AMR in Ghana. Methods. Secondary N. gonorrhoea isolates (n=4) were collected from two metropolises in Ghana: Tamale in the northern sector (n=1) and Accra in the southern sector (n=3). The isolates were confirmed and characterized using polymerase chain reaction (PCR) targeting the porB and tbpB genes, and the disc diffusion method was used to evaluate AMR. N. gonorrhoea multi-antigen sequence typing (NG-MAST) and porin B (porB) gene sequence analyses were employed to reveal the molecular epidemiology and evolutionary trajectory, respectively. Results. All four isolates showed resistance to at least four of the tested antibiotics. One isolate showed resistance to all seven antibiotics, i.e. ceftriaxone, azithromycin, ciprofloxacin, tetracycline, erythromycin, togamycin and penicillin. NG-MAST typing revealed isolate S3 (MZ313864) as ST211. The locus of S2 (MZ313863) (transferrin-binding protein B; tbpB) was identified as tbpB1844, and its porB locus, as porB6412, with only 4 closely related variants but with 15 nucleotide differences. However, its sequence type does not exist. The porB analysis identified isolate S3 (MZ313864) to be found globally, while S2 (MZ313863) is unique to this study. Discussion. Despite the small number of isolates tested, this study recorded multidrug resistance and previously unknown gonococcal variants based on porB gene. Additionally, the molecular typing schemes revealed a disparity between NG-MAST and the National Center for Biotechnology Information (NCBI) platforms. There is a need for continuous gonococcal AMR and molecular surveillance in Ghana to contribute to the global efforts to describe circulating strains and support proper application of the syndromic management regime to gonorrhoea.
Corynebacterium striatum: A True Pathogen in Chronic Contiguous Osteomyelitis

Results All patients were cured after successful completion of an antibiotic course with a resolution of infection. Cure was defined as granulation of the infected wound and resolution of clinical symptoms at outpatient follow-up between 6 and 8 weeks. Conclusion This series emphasizes that C. striatum is often a true pathogen in the setting of CCO. When isolated in polymicrobial infections, a targeted antibiotic therapy towards this pathogen along with other causative pathogens accompanied by surgical intervention is typically required for a successful cure of CCO.
Structural and thermal analyses in semiconducting and metallic zigzag single-walled carbon nanotubes using molecular dynamics simulations

Equilibrium molecular dynamics (EMD) simulations have been performed to investigate the structural analysis and thermal conductivity (λ) of semiconducting (8,0) and metallic (12,0) zigzag single-walled carbon nanotubes (SWCNTs) for varying ±γ(%) strains. For the first time, the present outcomes provide valuable insights into the relationship between the structural properties of zigzag SWCNTs and corresponding thermal behavior, which is essential for the development of high-performance nanocomposites. The radial distribution function (RDF) has been employed to assess the buckling and deformation understandings of the (8,0) and (12,0) SWCNTs for a wide range of temperature T(K) and varying ±γ(%) strains. The visualization of SWCNTs shows that the earlier buckling and deformation processes are observed for semiconducting SWCNTs as compared to metallic SWCNTs for high T(K) and it also evident through an abrupt increase in RDF peaks. The RDF and visualization analyses demonstrate that the (8,0) SWCNTs can more tunable under compressive than tensile strains, however, the (12,0) zigzag SWCNTs indicate an opposite trend and may tolerate more tensile than compressive strains. Investigations show that the tunable domain of ±γ(%) strains decreases from (-10%≤ γ ≤+19%) to (-5%≤ γ ≤+10%) for (8,0) SWCNTs and the buckling process shifts to lower ±γ(%) for (12,0) SWCNTs with increasing T(K). For intermediate-high T(K), the λ(T) of (12,0) SWCNTs is high but the (8,0) SWCNTs show certainly high λ(T) for low T(K). The present λ(T, ±γ) data are in reasonable agreement with parts of previous NEMD, GK-HNEMD data and experimental investigations with simulation results generally under predicting the λ(T, ±γ) by the ∼1% to ∼20%, regardless of the ±γ(%) strains, depending on T(K). Our simulation data significantly expand the strain range to -10% ≤ γ ≤ +19% for both zigzag SWCNTs, depending on temperature T(K). This extension of the range aims to establish a tunable regime and delve into the intrinsic characteristics of zigzag SWCNTs, building upon previous work.
Evolution of larval gregariousness is associated with host plant specialisation, but not host morphology, in Heliconiini butterflies

Abstract Insect herbivores, such as lepidopteran larvae, often have close evolutionary relationships with their host plants, with which they may be locked in an evolutionary arms race. Larval grouping behaviour may be one behavioural adaptation that improves host plant feeding, but aggregation also comes with costs, such as higher competition and limited resource access. Here, we use the Heliconiini butterfly tribe to explore the impact of host plant traits on the evolution of larval gregariousness. Heliconiini almost exclusively utilise species from the Passifloraceae as larval host plants. Passifloraceae display incredible diversity in leaf shape and a range of anti‐herbivore defences, suggesting they are responding to, and influencing, the evolution of Heliconiini larvae. By analysing larval social behaviour as both a binary (solitary or gregarious) and categorical (increasing larval group size) trait, we revisit the multiple origins of larval gregariousness across Heliconiini. We investigate whether host habitat, leaf defences and leaf size are important drivers of, or constraints on, larval gregariousness. Whereas our data do not reveal links between larval gregariousness and the host plant traits included in this study, we do find an interaction between host plant specialisation and larval behaviour, revealing gregarious larvae to be more likely to feed on a narrower range of host plant species than solitary larvae. We also find evidence that this increased specialisation typically precedes the evolutionary transition to gregarious behaviour. The comparatively greater host specialisation of gregarious larvae suggests that there are specific morphological and/or ecological features of their host plants that favour this behaviour.
Evaluating knowledge, habits, and beliefs regarding dietary supplements as a protective measure against COVID‐19 in Malaysia and Iraq: A postsecond wave cross‐sectional analysis

Abstract Background and Aims The Corona Virus Disease 2019 (COVID‐19) pandemic brought to the forefront various public health approaches, including the consumption of dietary supplements (DS) as a protective measure. With misinformation regarding the virus and the associated benefits of DS prevalent, this study aimed to understand knowledge, habits, and beliefs related to DS usage as a protective measure during the pandemic in Malaysia and Iraq, two countries with deep‐rooted traditions in herbal and supplement usage. Methods A cross‐sectional research study was conducted between September 2021 and March 2022 using a validated online survey. The participants included Malaysians and Iraqis aged 18 years and above who currently consume DS. Using the SurveyMonkey® platform, data were collected from 2425 respondents (response rate = 60.6%), with analysis carried out using SPSS version 28. Results Demographically, the sample had an almost equal distribution of Malaysians (51%) and Iraqis (49%), with a mean age of 30.61. The majority had tertiary education (78.6%), and only a fraction had been infected with COVID‐19 (26.2%). Concerning knowledge, a significant portion exhibited poor understanding (84.2%) of DS's functioning and implications. Regarding habits, many respondents consumed multivitamins (75.2%), with influence largely coming from peers (23.5%) and product leaflets (46.7%). Belief‐wise, about half (49.2%) utilized herbal or supplemental products as a protective measure during the pandemic, with vitamin C with zinc being the most commonly used (45.4%). Conclusion The study underlines a significant inclination towards DS usage in Malaysia and Iraq, influenced by societal connections and available information. While many believe in the protective capacities of DS against COVID‐19, a substantial knowledge gap persists. It emphasizes the need for evidence‐based awareness campaigns and policies to guide public health decisions.
Factors Associated with Worsening Interstitial Fibrosis/Tubular Atrophy in Lupus Nephritis Patients Undergoing Repeat Kidney Biopsy

Background Lupus nephritis (LN) is one of the most severe manifestations of systemic lupus erythematosus (SLE). Interstitial fibrosis/tubular atrophy (IFTA) on kidney biopsies strongly predicts progression to end-stage renal disease. However, factors associated with progression of IFTA are not known. The objective of this study was to evaluate the demographic, clinical, and histopathological factors at the time of index kidney biopsies that are associated with worsening IFTA on repeat biopsies. Methods Patients with LN Class I to V or mixed LN on index biopsies who underwent a clinically indicated repeat biopsy between 2004 and 2020 were identified. None-mild IFTA was defined as < 25% acreage of the interstitium affected by fibrosis and atrophy, and moderate-severe IFTA was defined as ≥ 25% of the interstitium affected. Patients with none-mild IFTA on index biopsies who progressed to moderate-severe IFTA on repeat biopsies were defined as progressors. Patients with none-mild IFTA on both biopsies were defined as non-progressors. Results Seventy-two patients who underwent clinically indicated repeat kidney biopsies were included, and 35 (49%) were identified as progressors. Compared to non-progressors, progressors had a higher proportion of proliferative LN (20 [57%] vs. 6 [17%], p = 0.002) and crescents (9 [26%] vs. 3 [8%], p = 0.045) on index biopsies. There was no difference regarding the time to repeat biopsy or the baseline characteristics, including eGFR, presence of hypertension and diabetes, urine protein to creatinine ratio, or the initial treatments. Conclusions Proliferative LN and the presence of crescents on index biopsies were associated with subsequent IFTA progression on repeat biopsies. This association indicates that glomerular damage is one of the major drivers of tubulointerstitial scarring in SLE. IFTA progression may, in turn, be the driving factor of poor treatment response and progression to chronic kidney disease.
Magnetic capture device for large volume sample analysis

Immunomagnetic separation (IMS) techniques employing superparamagnetic particles can successfully isolate various components from mixtures. However, their utility can be limited for large-volume samples, viscous samples, or those containing a high density of particulate matter because of the need to generate high field gradients for particle recovery. Therefore, a new class of immunomagnetic particles was devised utilizing a single, macroscopic Pyrex spinbar conjugated with biorecognition elements to address these limitations. Advantages include an inherent capacity for effective mixing, an almost instantaneous recovery of the spinbar that can be performed without expensive equipment and with no loss of magnetic particles during processing, and reduced transfer of sample matrix. As a result, spinbars can provide an effective means for IMS with large-volume assays composed of complex matrices.
Land use is a stronger determinant of ecological network complexity than the number of trophic levels

Land modification causes biodiversity loss and ecosystem modification. Despite many studies on the impacts of this factor, there is little empirical evidence on how it affects the interaction networks of plants, herbivores and their natural enemies; likewise, there is little evidence on how those networks change due to differences in the complexity of the communities they comprise. We analyzed the effects of land use and number of trophic levels on the interaction networks of exotic legume species and their associated arthropods. We collected seedpods from five exotic legume species (one of them invasive) in four land use types (urbanization, roadside, L. leucocephala plantation, wooded pasture) on Santa Cruz Island in the Galapagos, and obtained all arthropods that emerged from the seeds. Then, we built and analyzed the interaction networks for each land use at two community scales, each with different numbers of trophic levels: (1) three levels: plant-seed beetle-parasitoid (PSP), and (2) more than three levels: plant-seed beetle-parasitoid-predator and other trophic guilds (PSPP). Land use was more relevant than number of trophic levels in the configuration of species interactions. The number of species and interactions was highest on roadsides at PSPP and lowest in plantations at PSP. We found a significant effect of land use on connectance and interaction evenness (IE), and no significant effect of number of trophic levels on connectance, diversity or IE. The simultaneous analysis of land use and number of trophic levels enabled the identification of more complex patterns of community structure. Comparison of the patterns we found among islands and between exotic and native legumes is recommended. Understanding the structure of the communities analyzed here, as well as the relative contribution of their determinants of change, would allow us to develop conservation plans according to the dynamics of these neo-ecosystems.
RETRACTED: Prediction of Ovarian Cancer Response to Therapy Based on Deep Learning Analysis of Histopathology Images

Simple Summary: Ovarian cancer remains the leading cause of mortality from gynecologic cancer. In this study, we present a deep-learning artiﬁcial intelligence framework that uses pre-treatment histopathology images of high-grade ovarian cancers to predict the cancer’s sensitivity or resistance to subsequent platinum-based chemotherapy. Analyses of this type could provide fast, inexpensive prediction of response to therapy at the time of initial pathological
Non-invasive load monitoring based on deep learning to identify unknown loads

With the rapid development of smart grids, society has become increasingly urgent to solve the problems of low energy utilization efficiency and high energy consumption. In this context, load identification has become a key element in formulating scientific and effective energy consumption plans and reducing unnecessary energy waste. However, traditional load identification methods mainly focus on known electrical equipment, and accurate identification of unknown electrical equipment still faces significant challenges. A new encoding feature space based on Triplet neural networks is proposed in this paper to detect unknown electrical appliances using convex hull coincidence degree. Additionally, transfer learning is introduced for the rapid updating of the pre-classification model’s self-incrementing class with the unknown load. In experiments, the effectiveness of our method is successfully tested on the PLAID dataset. The accuracy of unknown load identification reached 99.23%. Through this research, we expect to bring a new idea to the field of load identification to meet the urgent need for the identification of unknown electrical appliances in the development of smart grids.
Socioeconomic inequalities in utilizing maternal health care in five South Asian countries: A decomposition analysis

Background High maternal mortality rates still today remain a significant public health concern in South Asian countries. The majority of maternal deaths occur during pregnancy, and these deaths may typically be avoided by ensuring that women have access to reliable maternity care such as antenatal care (ANC) and facility delivery. The objectives of this research were to assess socioeconomic disparities in the utilization of health care services by mothers and to determine the factors influencing this utilization among women aged 15 to 49 in five South Asian countries. Methods For this study, nationally representative data from the Demographic and Health Survey (DHS) were analyzed. This research included a total of 262,531 women between the ages of 15 and 49. To determine the likely causes of maternal health care utilization, simple bivariate statistics and binary logistic regression were applied, and decomposition analysis and the concentration curve were used to quantify disparity (Lorenz curve). Results ANC and institutional delivery were both prevalent in 59.27% and 86.52% of cases, respectively. Among the five nations, Maldives has the greatest ANC (96.83%) and institutional delivery (99.39%), while Bangladesh has the lowest ANC (47.01%) and institutional delivery (49.81%). Women’s and husbands’ education, household wealth status, BMI, and urban residents are the most important factors influencing maternal health service utilization, whereas higher education level, affluent wealth quintiles, and place of residence are the major contributors to socioeconomic inequalities in access to maternal health care that favor the wealthy. Conclusion Maternal health care services must be utilized properly in order to promote optimal health and prevent maternal mortality. Several socioeconomic and sociodemographic variables of the individual population, as well as policy issues, all have an impact on maternal mortality. This research recommends for concerted action to enhance how successfully women use maternity care services.
Dynamic clade transitions and the influence of vaccine rollout on the spatiotemporal circulation of SARS-CoV-2 variants in São Paulo, Brazil

Since 2021, the emergence of variants of concern (VOC) has led Brazil to experience record numbers of in COVID-19 cases and deaths. The expanded spread of the SARS-CoV-2 combined with a low vaccination rate has contributed to the emergence of new mutations that may enhance viral fitness, leading to the persistence of the disease. Due to limitations in the real-time genomic monitoring of new variants in some Brazilian states, we aimed to investigate whether genomic surveillance, coupled with epidemiological data and SARS-CoV-2 variants spatiotemporal spread in a smaller region, can reflect the pandemic progression at a national level. Our findings revealed three SARS-CoV-2 variant replacements from 2021 to early 2022, corresponding to the introduction and increase in the frequency of Gamma, Delta, and Omicron variants, as indicated by peaks of the Effective Reproductive Number (Reff). These distinct clade replacements triggered two waves of COVID-19 cases, influenced by the increasing vaccine uptake over time. Our results indicated that the effectiveness of vaccination in preventing new cases during the Delta and Omicron circulations was six and eleven times higher, respectively, than during the period when Gamma was predominant, and it was highly efficient in reducing the number of deaths. Furthermore, we demonstrated that genomic monitoring at a local level can reflect the national trends in the spread and evolution of SARS-CoV-2.