Miracle-dz/UniFAR-FTUs huggingface dataset:
Fighting Antibiotic-Resistant Bacterial Infections by Surface Biofunctionalization of 3D-Printed Porous Titanium Implants with Reduced Graphene Oxide and Silver Nanoparticles

Nanoparticles (NPs) have high multifunctional potential to simultaneously enhance implant osseointegration and prevent infections caused by antibiotic-resistant bacteria. Here, we present the first report on using plasma electrolytic oxidation (PEO) to incorporate different combinations of reduced graphene oxide (rGO) and silver (Ag) NPs on additively manufactured geometrically ordered volume-porous titanium implants. The rGO nanosheets were mainly embedded parallel with the PEO surfaces. However, the formation of ‘nano-knife’ structures (particles embedded perpendicularly to the implant surfaces) was also found around the pores of the PEO layers. Enhanced in vitro antibacterial activity against methicillin-resistant Staphylococcus aureus was observed for the rGO+Ag-containing surfaces compared to the PEO surfaces prepared only with AgNPs. This was caused by a significant improvement in the generation of reactive oxygen species, higher levels of Ag+ release, and the presence of rGO ‘nano-knife’ structures. In addition, the implants developed in this study stimulated the metabolic activity and osteogenic differentiation of MC3T3-E1 preosteoblast cells compared to the PEO surfaces without nanoparticles. Therefore, the PEO titanium surfaces incorporating controlled levels of rGO+Ag nanoparticles have high clinical potential as multifunctional surfaces for 3D-printed orthopaedic implants.
Risk of agrochemical contamination in a hydrographic basin in the matopiba region in Brazil

The intensive use of agrochemicals has been associated with global human health problems and environmental contamination. Brazil is the world’s largest agrochemical consumer, and this position highlights the growth of agribusiness in the MATOPIBA region (Maranhão, Tocantins, Piauí, and Bahia states). The use of agrochemicals is recurrent in local agricultural practices. However, there is little information on the environmental impacts and risks of contamination regarding river basins in this region. Thus, this study aimed to evaluate the risk of contamination by agrochemicals in the basin area of the Açailândia River in Maranhão. From the multicriteria evaluation, environmental information plans were used to determine the trend of water behavior, infiltration, and runoff, along with agrochemical transportation. The joint evaluation of this information was used to generate the final map of the areas of contamination risk posed by agrochemicals in the region. The hydrographic basin presented high anthropization, with an increase of approximately 27% in land use and occupation by crops in the period from 1984 to 2018. The area of 1087.62 km², corresponding to 35.9% of the basin area, presented a high and extremely high risk of contamination.
An efficient correlation-aware anomaly detection framework in cellular network

Nowadays, the fifth-generation (5G) mobile communication system has obtained prosperous development and deployment, reshaping our daily lives. However, anomalies of cell outages and congestion in 5G critically influence the quality of experience and significantly increase operational expenditures. Although several big data and artificial intelligence-based anomaly detection methods have been proposed for wireless cellular systems, they change distributions of the data and ignore the relevance among user activities, causing anomaly detection ineffective for some cells. In this paper, we propose a highly effective and accurate anomaly detection framework by utilizing generative adversarial networks (GAN) and long short-term memory (LSTM) neural networks. The framework expands the original dataset while simultaneously keeping the distribution of data unchanged, and explores the relevance among user activities to further improve the system performance. The results demonstrate that our framework can achieve 97.16% accuracy and 2.30% false positive rate by utilizing the correlation of user activities and data expansion.
SARS-CoV-2 immunity and vaccine strategies in people with HIV

Abstract Current severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) vaccines, based on the ancestral Wuhan strain, were developed rapidly to meet the needs of a devastating global pandemic. People living with Human Immunodeficiency Virus (PLWH) have been designated as a priority group for SARS-CoV-2 vaccination in most regions and varying primary courses (two- or three-dose schedule) and additional boosters are recommended depending on current CD4+ T cell count and/or detectable HIV viraemia. From the current published data, licensed vaccines are safe for PLWH, and stimulate robust responses to vaccination in those well controlled on antiretroviral therapy and with high CD4+ T cell counts. Data on vaccine efficacy and immunogenicity remain, however, scarce in PLWH, especially in people with advanced disease. A greater concern is a potentially diminished immune response to the primary course and subsequent boosters, as well as an attenuated magnitude and durability of protective immune responses. A detailed understanding of the breadth and durability of humoral and T cell responses to vaccination, and the boosting effects of natural immunity to SARS-CoV-2, in more diverse populations of PLWH with a spectrum of HIV-related immunosuppression is therefore critical. This article summarizes focused studies of humoral and cellular responses to SARS-CoV-2 infection in PLWH and provides a comprehensive review of the emerging literature on SARS-CoV-2 vaccine responses. Emphasis is placed on the potential effect of HIV-related factors and presence of co-morbidities modulating responses to SARS-CoV-2 vaccination, and the remaining challenges informing the optimal vaccination strategy to elicit enduring responses against existing and emerging variants in PLWH.
Modeling of yield, slope efficiency, and spectra of multisegment distributed feedback lasers

The properties and yield of a distributed feedback laser depends on the values of coupling coefficient κ and many other parameters. Multisegmented distributed feedback devices (consisting of grated and ungrated areas, quarter‐wave‐shifts, and potentially other features other) are becoming more common and have advantages over uniform grated devices. A multi‐segmented transfer matrix model is used to model the spectra, yield, and slope efficiency of multisegment and uniform distributed feedback lasers. The results give an excellent match to measured spectra of partially grated, quarter‐wave‐shifted, and uniform devices, and qualitatively agree with experimental data on the distribution of slope efficiency in devices. A study on partial grated devices suggested they may have advantages in single mode yield compared to uniformly grated devices. This method (and the specific software tool Glaparex) can be used to control device parameters in manufacturing and to optimize laser designs design.
Screening of Healthy Feral Pigeons (Columba livia domestica) in the City of Zurich Reveals Continuous Circulation of Pigeon Paramyxovirus-1 and a Serious Threat of Transmission to Domestic Poultry

Pigeon paramyxovirus-1 (PPMV-1) is predominantly isolated from pigeons or doves and forms a separate group of viral strains within Avian Orthoavulavirus-1, the causative agent of Newcastle disease in poultry. Since the introduction of PPMV-1 into Europe in 1981, these strains have rapidly spread all over Europe, and are nowadays considered to be enzootic in feral and hobby pigeons (Columba livia domestica). Infections with PPMV-1 can range from asymptomatic to fatal. To assess whether PPMV-1 continuously circulates in healthy feral pigeons, 396 tissue samples of pigeons from the city of Zurich were tested by reverse transcriptase real-time PCR over the period of one year. PPMV-1-RNA was detected in 41 feral pigeons (10.35%), determined as the dominant European genotype VI.2. 1.1. 2.2. In 38 of the 41 pigeons where organ samples tested positive, PPMV-1-RNA was also detected in either choana or cloaca swabs. There were no significant differences in positivity rates between seasons, age, and sex. The current study shows that feral pigeons without clinical signs of disease can harbour and most likely excrete PPMV-1. Spill-over into free-range holdings of chickens are therefore possible, as observed in a recent outbreak of Newcastle disease in laying hens due to PPMV-1 genotype VI.2. 1.1. 2.2. in the canton of Zurich in January 2022.
Maritime midge radiations in the Pacific Ocean (Diptera: Chironomidae)

Maritime chironomid midges (Diptera) are diverse, yet these ‘pearls of the ocean’ are little known. Emphasizing Pacific Ocean taxa, we used six genetic markers (18S, 28S, CAD1, CAD4, FolCOI and COI) and fossil calibrations to produce Bayesian time‐calibrated phylogenies to date eight independent marine transitions in three subfamilies. Deep nodes involve subfamily Telmatogetoninae (originating mid‐Cretaceous, 101–128, 114 Ma), with sister genera Telmatogeton Schiner and Thalassomya Schiner splitting later in the Cretaceous (56–82, 69 Ma). Two transitions in Orthocladiinae involve Clunio Haliday and Pseudosmittia Edwards, dating from the upper Cretaceous, both with Eocene crown groups. In subfamily Chironominae, transitions to marine occur in two tribes. Four transitions occur within the otherwise nonmarine crown groups Kiefferulus Goetghebuer, Dicrotendipes Kieffer, Polypedilum Kieffer and Ainuyusurika Sasa & Shirasaka. Two separate robust clades in tribe Tanytarsini involve: (1) a minor radiation within Paratanytarsus dated to the mid‐Eocene around 43 Ma; and (2) an unexpected but fully supported diversification in Pontomyia Edwards plus Yaetanytarsus Sasa dated to around 47 Ma, with separation of Pontomyia from Yaetanytarsus around 40 Ma. Crown Pontomyia, represented by three species, was estimated to have diverged around 19 Ma, whereas the crown radiation of Yaetanytarsus, with 12 sampled species, dates to the mid‐Eocene. In a comprehensive global review we concisely document new synonymies and new combinations revealed by the study. The evolutionary timing estimate provides insights into the frequency of marine transitions and diversifications in the Chironomidae in association with dynamic oceanic changes during the Oligocene and Miocene.
Finite depth and freak waves: Hamiltonian form of the modified nonlinear Schrödinger equation. Can non-uniform bathymetry provoke freak waves?

The commonly used forms of the modified nonlinear Schrodinger equations for deep water (Dysthe 1979) and arbitrary depth (Brinch-Nielsen & Jonsson 1986) do not conserve momentum and are not Hamiltonian. We show how these equations can be brought into Hamiltonian form, with the action, momentum and Hamiltonian being conserved. We derive the new fourth order nonlinear Schrodinger equation for arbitrary depth starting from the Zakharov equation enhanced with the new kernel of Krasitskii (1994).
Evaluation of joint effect of factors of small intensity of production environment and labor process on work ability and error of action of operators of high-tech energy complexes

Ключевые слова: напряженность трудового процесса, факторы малой интенсивности, работоспособность операторов, энергетические комплексы, профессиональное заболевание, профилактические режимы труда и отдыха. Увеличение сложности и скорости производственных процессов выдвигает повышенные требования к точности действий операторов, быстроте принятия решений в осуществлении управленческих функций. Статистический анализ данных по нефтеперерабатывающей отрасли показал, что нефтеперерабатывающий завод мощностью 10 млн т нефти в год теряет только от аварий из-за ошибок операторов в среднем 4 млн долл. в год, 40 % аварий и инцидентов происходят непосредственно из-за ошибок операторов. Причины таких ошибок связаны с личностными качествами человека, недостатками обучения, тренировки, а также с факторами малой интенсивности производственной среды. Комплекс факторов малой интенсивности может приводить к скрытым до определенного времени «компенсированным» нарушениям гомеостаза или модифицировать вредное действие с проявлением неадекватных реакций. В статье приведены результаты исследования операторов центрального пульта управления двух технологических отделений высокотехнологичного и опасного производственного (нефтегазового) комплекса для оценки сочетанного влияния факторов малой интенсивности производственной среды и трудового процесса на работоспособность и ошибочность действий в ходе трудового процесса. Исследования показали, что длительная напряженная функциональная нагрузка на системы организма на фоне воздействия факторов малой интенсивности производственной среды и трудового процесса приводит к развитию утомления и повышенной напряженности у операторов в дневные и ночные смены. Значительное напряжение сенсорных и интеллектуальных систем организма на фоне выраженного утомления определяет высокую физиологическую стоимость труда операторов высокотехнологичного производства. Это свидетельствует о необходимости разработки профилактических инновационных методов коррекции физиологического состояния операторов для повышения их работоспособности и безошибочности труда, позволяющих снизить риск возникновения соматических нарушений здоровья.
Preparation of Pebax 1657/MAF-7 Mixed Matrix Membranes with Enhanced CO2/N2 Separation by Active Site of Triazole Ligand

Fillers play a critical role in the performance of mixed matrix membranes (MMMs). Microporous metal azolate frameworks (MAFs) are a subclass material of metal–organic frameworks (MOFs). Due to the uncoordinated nitrogen of the organic ligands, MAF-7 (SOD-[Zn(mtz)2], Hmtz = 3-methyl-1,2,4-triazole, window: d = 0.34 nm) shows excellent CO2 adsorption performance. In this work, Pebax 1657/MAF-7 MMMs were prepared by a sample solution casting method with MAF-7 particles as fillers for the first time. By means of X-ray diffraction (XRD), scanning electron microscope (SEM), infrared radiation (IR), and thermogravimetry (TG), the compositional and structural properties of the mixed matrix membrane with different filler content were analyzed. The results show that the compatibility of MAF-7 and Pebax is good with a filler content of 5 wt. %. The pure gas testing showed that mixed matrix membrane has a high ideal CO2/N2 selectivity of 124.84 together with a better CO2 permeability of 76.15 Barrer with the optimized filler content of 5 wt. %. The obtained membrane showed 323.04% enhancement in selectivity of CO2/N2 and 27.74% increase in the permeability of CO2 compared to the pristine membrane at 25 °C and 3 bar. The excellent separation performance may be due to the ligands that can afford a Lewis base active site for CO2 binding with the uniform dispersion of MAF-7 particles in Pebax and the favorable interface compatibility. The obtained membrane overcomes the Robeson’s upper bound in 2008 for CO2/N2 separation. This work provides a new strategy by utilizing MAFs as fillers with triazole ligand to enhance the gas separation performance of mixed matrix membranes.
Analysis of Different Methods of Extracting NSAIDs in Biological Fluid Samples for LC-MS/MS Assays: Scoping Review

The aim of this study was to carry out a systematic investigation and analysis of different drug extraction methods, specifically non-steroidal anti-inflammatory drugs in biological fluid samples, for Liquid Chromatography in Mass Spectrometry assays (LC-MS/MS). A search was carried out in the main databases between 1999 and 2021, following the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist. Data were obtained through PubMed, Lilacs, Embase, Scopus, and Web of Science databases using the Boolean operators AND and OR. Studies were pre-selected by title and abstract by two independent reviewers. The selected texts were read in full, and only those that were complete and compatible with the inclusion and exclusion criteria were eligible for this research. A total of 248 references were obtained in the databases. After removing the duplicates and analyzing the titles and abstracts, 79 references were evaluated and passed to the next phase, which comprised the complete reading of the article. A total of 39 publications were eligible for this study. In 52% of the studies, the authors used the liquid–liquid extraction method (LLE), while in 41%, the solid-phase extraction method (SPE) was used. A total of 5% used microextraction methods and 2% used less-conventional techniques. The literature on the main methods used, the LLE and SPE methods, is extensive and consolidated; however, we found other studies that reported modifications of these traditional techniques, which were equally validated for use in LC-MS/MS. From this review, it is concluded that the diversity of techniques, reliability, and practical information about each analytical method used in this study can be adapted to advances in LC-MS/MS techniques; however, more ecological, economic, and sustainable approaches should be explored in the future.
Impact of Community Service on Latent Deprivation of Social Assistance Recipients

Purpose: This study examined the impact of community service on latent deprivation and mental health of long-term unemployed receiving social assistance by using a two-wave quasi-experimental design with an untreated control group. According to the latent deprivation model, we hypothesized that unpaid participation in community service for the period of three months would alleviate the participants’ experience of latent deprivation and improve their mental health. Method: A total of 209 participants (105 in intervention and 104 in the control group; Mage = 44.7, SD = 10.47, 58.9% males) completed pretest and posttest measures. Results: Multivariate analysis of variance, followed by the analysis of variances and post-hoc group comparisons, revealed significant effects of the intervention on several dimensions of perceived latent deprivation, but not on the mental health of social assistance recipients. Conclusion: Community service might mitigate the lack of latent benefits of work associated with unemployment by enhancing time structure, regular social contacts, status, and collective purpose.
Three maximally entangled states can require two-way local operations and classical communications for local discrimination

Michael Nathanson Department of Mathematics and Computer Science, Saint Mary’s College of California, Moraga, CA, 94556, USA∗ Abstract We show that there exist sets of three mutually orthogonal d-dimensional maximally entangled states which cannot be perfectly distinguished using one-way local operations and classical communication (LOCC) for arbitrarily large values of d. This contrasts with several well-known families of maximally entangled states, for which any three states can be perfectly distinguished. We then show that two-way LOCC is sufficient to distinguish these examples. We also show that any three mutually orthogonal d-dimensional maximally entangled states can be perfectly distinguished using measurements with a positive partial transpose (PPT) and can be distinguished with one-way LOCC with high probability. These results circle around the question of whether there exist three maximally entangled states which cannot be distinguished using the full power of LOCC; we discuss possible approaches to answer this question.
Assessment of Kitchen Air Pollution: Health Implications for the Residents of Ilorin South, Nigeria

Indoor air quality is essential, so its quality cannot be compromised. Hence, this research assessed indoor gaseous air pollutant concentrations from sources in thirty-three residential kitchens within the 4-zone of Ilorin-South Local Government, Kwara, Nigeria. The work focused on SO2, NO2, and CO emission concentration quantification, determination of the air quality index (AQI), estimation of health assessment risk, and deduced their health implications on the residents. The concentrations of NO2 and SO2 were determined by the Saltzman method using a Gilair-3 air sampler, while the concentration of CO was determined using an MSA Altair-5x multigas detector. Three types of eleven kitchen environments each (kitchens where liquefied petroleum gas (LPG), charcoal, and firewood were used as fuel sources) were considered. The concentrations of NO2, SO2, and CO were higher in kitchens that used charcoal and firewood. The major health risks were deduced in percentages from the questionnaire administered, where headaches had the highest percentage (20.7). The model indicated that the concentrations of the pollutants in the evening, irrespective of the sampling points, were higher than those in the morning. Firewood contributed significantly more than charcoal and LPG (p < 0.05). The results of the health assessment risk showed that the risk estimated for normal exposure to the pollutants in all the households studied revealed a hazard quotient of <1.0 except for SO2 from firewood for infants and children = 1.09. The AQI results showed the worst health conditions for households that used firewood (0.103–4.760 ppm NO2; 0.327–0.647 ppm SO2; and 12.30–57.83 ppm CO). The study concluded that the use of LPG should be preferred as a source of fuel for cooking.
Joint Graph Attention and Asymmetric Convolutional Neural Network for Deep Image Compression

Recent deep image compression methods have achieved prominent progress by using nonlinear modeling and powerful representation capabilities of neural networks. However, most existing learning-based image compression approaches employ customized convolutional neural network (CNN) to utilize visual features by treating all pixels equally, neglecting the effect of local key features. Meanwhile, the convolutional filters in CNN usually express the local spatial relationship within the receptive field and seldom consider the long-range dependencies from distant locations. This results in the long-range dependencies of latent representations not being fully compressed. To address these issues, an end-to-end image compression method is proposed by integrating graph attention and asymmetric convolutional neural network (ACNN). Specifically, ACNN is used to strengthen the effect of local key features and reduce the cost of model training. Graph attention is introduced into image compression to address the bottleneck problem of CNN in modeling long-range dependencies. Meanwhile, regarding the limitation that existing attention mechanisms for image compression hardly share information, we propose a self-attention approach which allows information flow to achieve reasonable bit allocation. The proposed self-attention approach is in compliance with the perceptual characteristics of human visual system, as information can interact with each other via attention modules. Moreover, the proposed self-attention approach takes into account channel-level relationship and positional information to promote the compression effect of rich-texture regions. Experimental results demonstrate that the proposed method achieves state-of-the-art rate-distortion performances after being optimized by MS-SSIM compared to recent deep compression models on the benchmark datasets of Kodak and Tecnick. The project page with the source code can be found in https://mic.tongji. edu.cn.