Miracle-dz/UniFAR-FTUs huggingface dataset:
Occurrence of antibiotic resistance genes and potentially pathogenic bacteria in the Yangtze River tributary (Nanjing section) and their correlation with environmental factors

Freshwater environments are vulnerable to emerging contaminants such as Antibiotic resistance genes (ARGs), and their occurrence is gaining more attention. However, the occurrence of ARGs along with potential pathogens is less explored. The current study aimed to evaluate the abundance of ARGs and explore bacterial communities for the presence of potential bacterial pathogens in water samples collected from a tributary to the Yangtze River in Nanjing. Twelve physico-chemical parameters were analyzed, followed by quantifying 10 ARGs targeting sulfonamide (sul1, sul2), tetracycline (tetG, tetM, tetQ), erythromycin (ermB), vancomycin (vanA, vanR), and streptomycin (strA, strB) using real-time PCR and bacterial diversity characterization using high-throughput 16 S rRNA sequencing. The results indicated poor water quality and high-level eutrophication in most sampling locations. sul1, sul2, and strB were dominant in the study area with average concentrations of 6.8, 7.1, and 6.5 Log10 gene copies/100 ml, respectively. Proteobacteria, Cyanobacteria, Bacteroidetes, and Actinobacteria were the main phyla detected in the study area, and genus-level analysis revealed the presence of eight potential pathogenic and ten fecal-associated bacterial genera at several locations in the study area. The distance-based Redundancy analysis indicated that total phosphorus, electrical conductivity, dissolved oxygen, total dissolved solids, ammonium-N (NH4 +-N), and chlorophyll a had significantly influenced the bacterial community composition in the monitored locations. Correlation analysis demonstrated that water temperature, pH, NH4 +-N, and total organic carbon were positively correlated with sul2, tetG, and vanR genes, indicating that these environmental parameters significantly affected the ARGs distribution pattern. Overall, our results provide valuable information regarding the occurrence of ARGs and potential bacterial pathogens in the study area; however, their co-existence highlights increased human health risks.
Fast and Expandable ANN-Based Compact Model and Parameter Extraction for Emerging Transistors

In this paper, we present a fast and expandable artificial neural network (ANN)-based compact model and parameter extraction flow to replace the existing complicated compact model implementation and model parameter extraction (MPE) method. In addition to nanosheet FETs (NSFETs), our published ANN-based compact modeling framework is easily extended to negative capacitance NSFETs (NC-NSFETs), which are attracting attention as next-generation devices. Each device is designed using a technology computer-aided design (TCAD) simulator. Using device structure parameters, temperature, and channel doping depth as input variables, we construct a dataset of electrical properties used for machine learning (ML)-based modeling. The accuracy of predicting device electrical characteristics with the proposed ANN-based compact model is less than a 1% error compared to TCAD, and simulation results of digital and analog circuits using the proposed compact model show less than a 3% error. This allows the ANN-based modeling framework to achieve accurate DC, AC, and transient simulations without restrictions on device technology. In particular, temperature and process variables such as channel doping depth, which are not defined in the compact model parameters, are easily added to the previously presented five key parameters. Instead of conventional complex compact modeling and MPE work, we propose a method to create fast, accurate, flexible, and expandable ML-based Verilog-A SPICE models with design technology co-optimization (DTCO) capabilities.
The total vertex separation number of a graph

For a graph G we introduce a new graph invariant sv(G) which we name the total vertex separation number. We demonstrate that the recognition problem consisting in checking whether or not sv(G) < k for a given G and a non-negative integer k is NP-complete even for edge graphs. We consider the problem to calculate this invariant for the interval graphs. In addition, the total vertex separation number of a tree is considered. This research was supported by the program 'Universities of Russia'. 1. BASIC DEFINITIONS In this paper we introduce a new graph invariant, and call it the total vertex separation number. It relates to the well-known vertex separation number exactly as the total bandwidth of the graph [2] relates to its bandwidth [3, 4]. Characteristics of graphs determined by means of optimal (with respect to various criteria) enumerations of the vertices can be applied to many fields, such as electronics and programming. We hope that the invariant introduced here is of interest as well. In this section we give the needed definitions. Let G = (V,E) be a simple graph with n vertices. In what follows we will consider only simple graphs. Any one-to-one mapping/: V -» {1, . ,n} is called an enumeration of the vertices of the graph G. We set Si(G,f) = \{v: v e V,/(v) < f, there exists an edge (v, u) such that/(w) > i}|, where/ is some enumeration of the vertices of G, / = 1,. , n, and |A| is the number of the elements of the finite set A. The vertex separation number of a graph G under a vertex enumeration/ is vs(G,/) = maxS,(G,/), \<ί<η and the vertex separation number of the graph G is vs(G) = min vs(G,/), *UDC 519.717. Originally published in Diskretnaya Matematika (1997) 9, No.4, 86-91 (in Russian). Received May 25, 1994. Translated by A. V. Kolchin.
Stereo Matching Algorithm Based on Edge Feature of Segmented Image

Stereo matching of the disparity discontinuous boundaries and weak texture regions is still a problem of computer vision. Local-based stereo matching algorithm with the advantages of fast speed and high accuracy is the most common method. In order to improve the matching accuracy of the mentioned regions,a stereo matching algorithm based on edge feature of segmented image is proposed. Firstly, the reference image was segmented by Mean-Shift algorithm. Then, support window was dynamically allocated based on edge feature of segmented image. Finally, the disparity distribution of support window was adjusted by introducing weighting factor. The experimental results show that this algorithm can reduce noise and effectively improve the matching accuracy.
Association of Dietary Nitrate, Nitrite, and N-Nitroso Compounds Intake and Gastrointestinal Cancers: A Systematic Review and Meta-Analysis

N-nitroso compounds (NOCs) are a class of chemical carcinogens found in various environmental sources such as food, drinking water, cigarette smoke, the work environment, and the indoor air population. We conducted a systematic review and meta-analysis to investigate the links between nitrate, nitrite, and NOCs in food and water and the risk of gastrointestinal (GI) cancers, including esophageal cancer (EC), gastric cancer (GC), colorectal cancer (CRC), and pancreatic cancer (PC). A systematic search of the literature in Scopus, PubMed, Google Scholar, Web of Science, ScienceDirect, and Embase was performed for studies on the association between NOCs in drinking water and food sources and GI cancers. Forest plots of relative risk (RR) were constructed for all the cancer sites and the intake sources. The random-effects model was used to assess the heterogeneity between studies. Forty articles were included after removing duplicate and irrelevant articles. The meta-analysis indicated that the intake of high dose vs. low dose of these compounds was significantly associated with the overall GI cancer risk and nitrite (RR = 1.18, 95% CI = 1.07–1.29), and N-nitrosodimethylamine (NDMA) (RR = 1.32, 95% CI = 1.06–1.65). We found that dietary nitrite intake increased GC (RR = 1.33, 95% CI = 1.02–1.73), and EC (RR = 1.38, 95% CI = 1.01–1.89). Additionally, dietary NDMA intake increased the risk of CRC (RR = 1.36, 95% CI = 1.18–1.58). This meta-analysis provides some evidence that the intake of dietary and water nitrate, nitrite, and NOCs may be associated with GI cancers. In particular, dietary nitrite is linked to GC and EC risks and dietary NDMA intake is associated with CRC.
Compact and low crosstalk waveguide crossing using impedance matched metamaterial

A waveguide crossing mechanism based on metamaterial is proposed and numerically investigated using finite difference in time domain method. The waveguide cross is filled with impedance matched metamaterial, which has a large absolute value of refractive index, and effectively suppresses the diffraction of the guiding mode in the crossing region. The waveguide cross is ultra compact, and valid for a wide range of crossing angle with negligible crosstalk and insertion loss. The compactness and high efficiency make this crossing mechanism valuable in micro and nano photonics.
MTHFR c.665C>T and c.1298A>C Polymorphisms in Tailoring Personalized Anti-TNF-α Therapy for Rheumatoid Arthritis

Rheumatoid arthritis (RA) is an inflammatory autoimmune disease with a prevalence of 1%. Currently, RA treatment aims to achieve low disease activity or remission. Failure to achieve this goal causes disease progression with a poor prognosis. When treatment with first-line drugs fails, treatment with tumor necrosis factor-α (TNF-α) inhibitors may be prescribed to which many patients do not respond adequately, making the identification of response markers urgent. This study investigated the association of two RA-related genetic polymorphisms, c.665C>T (historically referred to as C677T) and c.1298A>C, in the MTHFR gene as response markers to an anti-TNF-α therapy. A total of 81 patients were enrolled, 60% of whom responded to the therapy. Analyses showed that both polymorphisms were associated with a response to therapy in an allele dose-dependent manner. The association for c.665C>T was significant for a rare genotype (p = 0.01). However, the observed opposite trend of association for c.1298A>C was not significant. An analysis revealed that c.1298A>C, unlike c.665C>T, was also significantly associated with the drug type (p = 0.032). Our preliminary results showed that the genetic polymorphisms in the MTHFR gene were associated with a response to anti-TNF-α therapy, with a potential significance for the anti-TNF-α drug type. This evidence suggests a role for one-carbon metabolism in anti-TNF-α drug efficacy and contributes to further personalized RA interventions.
Overburden stress evolution characteristics and prediction of disasters with across-gully mining

The coal water co-mining of shallow coal seams in the loess gully area of Northern Shaanxi is affected by the coupling effect of overburden rock structure and topography. The development characteristics of mining fracture are complex and can induce mining and environmental disasters. To predict the disaster formation, taking the 113101 working face of the Kunyuan Coal Mine as the engineering background, numerical simulation, physical similarity simulation experiment, and theoretical analysis methods were used to analyze the mining gully of a shallow coal seam in a loess gully area. Based on the dynamic evolution characteristics of stress at different locations, the formation positions, dynamic development, and evolution processes of various fractures were studied; disaster-causing mechanisms were revealed and comprehensive methods were proposed. The results showed that in across-gully mining, the maximum horizontal compressive stress at the bottom of Gully No. 2 was approximately 20.00 MPa, the maximum horizontal tensile stress of the reverse slope section was approximately 1.50 MPa, the width of the F5 fracture of Gully No. 2 was 46.00 cm, and the elevation difference was up to 52.00 cm. The working face across-gully mining formed tensile fractures in most areas, collapsed fractures at the gully bottom, and extruded fractures in the reverse slope section. The fracture at the gully bottom could easily induce water–sand inrush and roof caving and supports crushing. The slope fracture could also induce a gully-induced landslide. According to the mechanisms and distribution areas of fracture disasters, the disaster areas were divided into water–sand inrush areas at the gully bottom, roof caving and supports crushing areas at the gully bottom and at the base of the slope section, and landslide areas at the upper part of the slope section and reverse slope section. Appropriate prevention and control measures were proposed, such as the upstream interception of surface water, slope reinforcement in the middle and upper part of the downhill section, artificial precracking of the roof in the middle and upper part of the downhill section, and grouting reinforcement at the gully bottom and slope toe of the downhill section. These measures were proven to effectively guarantee the safe and efficient mining efficiency of the working face.
CoCALC: A Self-Supervised Visual Place Recognition Approach Combining Appearance and Geometric Information

Visual place recognition (VPR) is considered among the most complicated tasks in SLAM due to the multiple challenges of drastic variations in both appearance and viewpoint. To address this issue, this article presents a self-supervised and lightweight VPR approach (namely CoCALC) that fully utilizes the appearance and geometric information provided by images. The main thing that makes CoCALC ultra-lightweight (only 0.27 MB) is our use of Depthwise Separable Convolution (DSC), a simple but effective architecture that enables our model to generate a more robust image representation. The network trained specifically for VPR can efficiently extract deep convolutional features from salient image regions that have relatively higher entropy, thereby expanding its applications on resource-limited platforms without GPUs. To further eliminate the negative consequences of the high percent false matches, a novel band-matrix-based geometric check is employed to filter out the incorrect matching of image patches, and the impact of different bandwidths on the recall rate is discussed. Results on several benchmark datasets confirm that the proposed CoCALC can yield state-of-the-art performance and superior generalization with acceptable efficiency. All relevant codes are provided at https://github.com/LiKangyuLKY/CoCALC-VPR for further studies.
Geochronology, geochemistry, and genesis of the Shamai tungsten deposit, Inner Mongolia, NE China

The Shamai tungsten deposit is located in the western part of the Xing'an Mongolian orogenic belt of northeastern China and contains quartz‐vein hosted tungsten mineralization. In this paper, we present the results of zircon laser ablation–inductively coupled plasma–mass spectrometry (LA–ICP–MS) U–Pb dating of the fine‐grained biotite monzogranite, medium‐grained biotite monzogranite, and porphyritic biotite monzogranite samples from the deposit as well as in situ zircon Hf isotopic and in situ plagioclase Pb isotopic analyses. Combining new laser Raman spectroscopic data for fluid inclusions with previously HO isotopic data yields insights into the precipitation of ore minerals. The fine‐grained biotite monzogranite, medium‐grained biotite monzogranite, and porphyritic biotite monzogranite were emplaced at 142.5 ± 1.0 Ma, 141.9 ± 1.1 Ma, and 140.2 ± 1.0 Ma, respectively. The fine‐ to medium‐grained biotite monzogranite and porphyritic biotite monzogranite samples contain zircons with εHf(t) values from 3.2 to 7.9 and from 4.2 to 7.6, respectively, yielding tDM2 model ages from 996 to 692 Ma and 923 to 708 Ma, respectively. The geochemical, zircon Hf isotopic, and in situ plagioclase Pb isotopic data indicate that the magmas were generated by the partial melting of juvenile crustal material mixed with mantle‐derived components. The laser Raman and HO isotopic data for fluid inclusions within tungsten‐bearing quartz veins indicate that the tungsten mineralization formed as a result of fluid mixing. Combining the data with the spatial and temporal distribution and tectonic setting of tungsten deposits in NE China suggests that this area records four stages of mineralization at 300–290, 250–230, 200–180, and 150–130 Ma. The Shamai deposit occurred in an intra‐continental extensional regime.
The Ubiquity of Statistics

Recent experiences as a member of the President's Commission on Federal Statistics, and later of the Committee on National Statistics, have led me-and my Commission or Committee colleagues-to a realization that the scope of federal statistics is far more extensive than the usual stereotype. To explain the ubiquity of statistics in national affairs, let me begin by summarizing a small statistical investigation that I carried out all by myself. no staff, no high-speed computation, and no publication plans aside from this talk. I am an enthusiast of the Government Printing Office, which publishes an enormous number of analyses, reports, instruction books, self-education brochures, atlases, and so on about an almost limitless range of topics. As a Government Printing Office buff, I receive a biweekly list called "Selected United States Government Publications". A recent issue listed, among many others, reportson biostatistical programs for time-shared computers, on hydrocarbons and air pollution, on control of apple tree borers, and on career opportunities for psychiatrists. Surely something is there for everyone. I chose four of these Selected Publication lists arbitrarily over the year starting in July 1970. For each listed publication I made a quick judgement about statistical relevance, using a trichotomy.
Impact of Reducing Intake of Red and Processed Meat on Colorectal Cancer Incidence in Germany 2020 to 2050—A Simulation Study

Background: According to the International Agency for Research on Cancer (IARC), there is sufficient evidence for the carcinogenicity of processed meat consumption in humans, specifically regarding colorectal cancer (CRC) risk. Evidence for the carcinogenicity of red meat consumption is more limited but points in the same direction. Methods: A macro-simulation approach was used to calculate age- and sex-specific potential impact fractions in a 30-year period (2020–2050). Aims: We estimated numbers and proportions of future CRC cases preventable under different scenarios of reducing the intake of processed and red meat in the German population. Results: Eliminating processed meat intake could reduce the burden of CRC by approximately 205,000 cases in Germany (9.6%) in 2020–2050, 2/3 among males (145,000) and 1/3 among females (60,000). Without red meat intake, approximately 63,000 CRC cases could be avoided (2.9%), 39,000 among males and 24,000 among females. Reductions in the mean consumption of both processed and red meat by one or two servings (each 11 or 22 g) per day would be expected to reduce CRC case numbers by 68,000 (3.1%) and 140,000 (6.5%), respectively. Conclusion: A reduction in red and processed meat intake might substantially reduce the incidence of CRC in Germany. The means of achieving such a reduction might include price and taxation policies, food labeling, and clearer risk communication aiming to reduce individual intake.
Extracellular matrix proteins in construction and function of in vitro blood-brain barrier models

The blood-brain barrier (BBB) is a highly impermeable barrier separating circulating blood and brain tissue. A functional BBB is critical for brain health, and BBB dysfunction has been linked to the pathophysiology of diseases such as stroke and Alzheimer’s disease. A variety of models have been developed to study the formation and maintenance of the BBB, ranging from in vivo animal models to in vitro models consisting of primary cells or cells differentiated from human pluripotent stem cells (hPSCs). These models must consider the composition and source of the cellular components of the neurovascular unit (NVU), including brain microvascular endothelial cells (BMECs), brain pericytes, astrocytes, and neurons, and how these cell types interact. In addition, the non-cellular components of the BBB microenvironment, such as the brain vascular basement membrane (BM) that is in direct contact with the NVU, also play key roles in BBB function. Here, we review how extracellular matrix (ECM) proteins in the brain vascular BM affect the BBB, with a particular focus on studies using hPSC-derived in vitro BBB models, and discuss how future studies are needed to advance our understanding of how the ECM affects BBB models to improve model performance and expand our knowledge on the formation and maintenance of the BBB.
Laser microfabrication of L605 cobalt-chromium cardiovascular stent implants with modulated pulsed Nd:YAG laser

Photonics modulation techniques can be effectively used for the laser microfabrication of biomedical implants to achieve better flexibility and control of the available optical power. These enable the processing and manufacturing of biomedical implants like cardiovascular stents and micro-metallic components with reduced heat affected zone (HAZ) and extremely precise edge cutting. Our investigation deals with the study of acousto-optic modulation of a pulsed Nd:YAG laser beam and further profile cutting of thin cobalt-chromium tubes for cardiovascular stent manufacturing. The acousto-optic modulator used in the investigations is a Bragg diffraction device. During one piercing process, the focused laser power is gradually varied from a low value and reaches the maximum as the beam goes deeper into the material. The optimum value for dwell time during which the laser piercing is occurring is found as 58 ms. A 14-step staircase modulating voltage with a maximum AC component of 900 mV was used, and the laser power was 4.4 W in TEM00 operation. Pulsed Nd:YAG laser modulated using an acousto-optic device in the Bragg regime is capable of cutting extremely complex geometries of stents on L605 tubing. Laser cutting resulted in a kerf width of 22.5±0.5 µm. Precise strut dimensions of 112±15 µm for the subsidiary strut, 140±15 µm for the main strut, and 140±15 µm for the link were also obtained. Scanning electron microscopy (SEM) images of L605 stents illustrate the higher strength Co-Cr alloy L605 with the same ductility, its ability to be translated into thinner struts, and improved deliverability. L605 also exhibits enhanced radio visibility thanks to its tungsten content and exceptional work hardening rate for a uniform expansion with minimal recoil.
Uniqueness of static voltage stability analysis in power systems

Diverse theories have been established in voltage stability analysis since various aspects have been observed during voltage collapse phenomena. Through rigorous mathematical investigation, this paper shows that all the major methods used in static voltage stability analysis, i.e. Jacobian method, voltage sensitivity method, real and reactive power loss sensitivity method and energy function method-provide an identical result to show the uniqueness of static voltage stability analysis in theory. The tests for sample systems have shown that an identical result can be obtained from the various analysis methods.
3D PIC simulations of the Relativistic Klystron Oscillator

Summary form only given. The Relativistic Klystron Oscillator (RKO) is a gigawatt class microwave source that is being investigated within the Air Force Research Laboratory (AFRL). In this talk, results of 3D simulations of the AFRL RKO using the particle-in-cell software ICEPIC (Improved Concurrent Electromagnetic Particle-In-Cell) are presented. Full 3D simulations of the RKO are challenging for a number of reasons, not the least of which is the sheer size of the problem. ICEPIC is unique in its ability to perform very large simulations and is an appropriate tool for solving problems related to the RKO. Other challenges include the correct treatment of emission from the knife-edge cathode and proper modeling of the Q of the RKO cavities.