Miracle-dz/UniFAR-FTUs huggingface dataset:
An Optimization Approach considering Passengers’ Space-Time Requirements for Bus Bridging Service under URT Disruption

Rapid urbanization and growth of population in megacities generate severe pressures on urban rail transit (URT) system. The quantity and frequency of disruptive events have increased significantly, which might have obvious adverse impacts. A large number of passengers are stranded at disrupted URT station when a disruptive event occurs. One essential solution for passenger evacuation is the bus bridging service. This paper is aimed at addressing the passenger evacuation problem caused by a disruptive event in the URT network, by proposing a bus bridging service model considering the passengers’ space-time requirements. The model is proposed to minimize the waiting time of passengers and considers factors including bus service capacity limitations, bus stop parking capacity, and the maximum bridging time limit of a single bus. Buses are assumed to provide bridging service on either the local bus route or the direct bus route. The optimal routes and scheduling plans of bridging bus are designed. The model is applied to an example of a disruptive event in Shanghai URT line 9. The results of this example show that the proposed model is capable of reducing the waiting time of passengers and the number of buses used by 3.2% and 24.7%, compared with the traditional bus bridging service. Further analysis of the example shows that it is not a cost-effective solution to reserve a large number of buses for URT disruption. Decision-makers should comprehensively trade off between passengers’ space-time demands and monetary costs of bus bridging service.
Undersampling to accelerate time-resolved MRI velocity measurement of carotid blood flow

Time-resolved velocity information of carotid blood flow can be used to estimate haemodynamic conditions associated with carotid artery disease leading to stroke. MRI provides high-resolution measurement of such information but long scan time limits its clinical application in this area. In order to reduce scan time the MRI signal is often undersampled by skipping part of the signal during data acquisition. The aim of this work is to implement and evaluate different undersampling techniques for carotid velocity measurement on a 1.5 T clinical scanner. Most recent undersampling techniques assume spatial and temporal redundancies of real time-resolved MRI signal. In these techniques different undersampling strategies were proposed. Prior information or different assumptions of the nature of true signal were used in signal reconstruction. A brief review of these techniques and details of a representative technique, known as k-t BLAST, are presented. Another undersampling scheme, termed ktVD, is proposed to use predesigned undersampling patterns with variable sampling densities in both temporal and spatial dimensions. It aims to collect enough signal content at the signal acquisition stage and simplify signal reconstruction. Fidelity of the results from undersampled data is affected by many factors, such as signal dynamic content, degree of signal redundancy, noise level, degree of undersampling, undersampling patterns, and parameters of post-processing algorithms. Simulations and in vivo scans were conducted to investigate the effects of these factors in time-resolved 2D scans and time-resolved 3D scans. The results suggested velocity measurement became less reliable when they were obtained from less than 25% of the full signal. In time-resolved 3D scans the signal can be undersampled in either one or two spatial dimensions in addition to the temporal dimension. This allows more options in the design of undersampling patterns, which were tested in vivo. In order to test undersampling in three dimensions in high resolution 3D scans and measure velocity in three dimensions, a flow phantom was also scanned at high degrees of undersampling to test the proposed method.
Reduction of blood C-reactive protein concentration complements the resolution of sputum bacillary load in patients on anti-tuberculosis therapy

Background Tuberculosis (TB) is a difficult-to-treat disease requiring the combination of four antibiotics for a minimum of 6 months. Rapid and quantitative biomarkers to monitor treatment response are urgently needed for individual patient management and clinical trials. C-reactive protein (CRP) is often used clinically as a rapid marker of inflammation caused by infection. We assessed the relationship of TB bacillary load and CRP as biomarkers of treatment response. Methods Xpert MTB/RIF-confirmed pulmonary TB cases were enrolled for treatment response assessment in Mozambique. Treatment response was measured using the Tuberculosis Molecular Bacterial Load Assay (TB-MBLA) in comparison with standard-of-care Mycobacterium Growth Indicator Tube (MGIT) culture at baseline and at weeks 1, 2, 4, 8, 12, 17, and 26 of treatment. Blood CRP concentration was measured at baseline, week 8, and week 26. Treatment response was defined as increase in MGIT culture time to positivity (TTP), and reduction in TB-MBLA-measured bacillary load and blood CRP concentration. Results Out of the 81 screened presumptive TB cases, 69 were enrolled for 6-month treatment follow-up resulting in 94% treatment completion rate. Four participants did not complete TB treatment and 22 participants had missing CRP or TB-MBLA results and were excluded from TB-MBLA-CRP analysis. The remaining 43 participants—median age, 31 years old [interquartile range (IQR): 18–56]; 70% (30/43) male; and 70% (30/43) infected with HIV—were considered for analysis. Culture TTP and bacillary load were inversely correlated, Spearman’s r = −0.67, p < 0.0001. Resolution of sputum bacillary load concurred with reduction of blood CRP, r = 0.70, p < 0.0001. At baseline, bacillary load had a median (IQR) of 6.4 (5.5–7.2), which reduced to 2.4 (0.0–2.9) and 0.0 (0.0–0.0) log10 CFU/ml at months 2 and 6 of treatment, respectively. Correspondingly, blood CRP reduced from 1.9 (1.6–2.1) at baseline to 1.3 (0.9–1.7) and 0.4 (0.1–0.8) log10 mg/dl at months 2 and 6 of treatment, respectively. CRP reduction trialed bacteriological resolution at a rate of −0.06 log10 mg/dl compared to a bacillary load of 0.23 log10 CFU/ml per week. Consequently, 14 (33%) and 37 (88%) patients had reduced CRP to normal concentration and bacillary load to zero by the end of treatment, respectively. Pre-treatment CRP concentration and bacillary load, and resolution during treatment were slightly lower in HIV co-infected patients but not significantly different from HIV-uninfected TB patients. Conclusion TB-MBLA-measured bacillary load and blood CRP complement each other in response to anti-TB therapy. Slow CRP reduction probably reflects residual TB bacilli in the lung not expectorated in sputum. Combining both measures can improve the accuracy of these biomarkers for monitoring TB treatment response and shorten turnaround time since the results of both assays could be available in 24 h.
Spectro-Temporal SubNet for Real-Time Monaural Speech Denoising and Dereverberation

This paper presents an improved subband neural network applied to joint speech denoising and dereverberation for online single-channel scenarios. Preserving the advantages of sub-band model (SubNet) that processes each frequency band independently and requires small amount of resources for good generalization, the proposed framework named STSubNet exploits sufficient spectro-temporal receptive fields (STRFs) from speech spectrum via a two-dimensional convolution network cooperating with a bi-directional long short-term memory network across frequency bands, to further improve the neural network discrimination between desired speech component and undesired interference including noise and reverberation. The importance of this STRF extractor is analyzed by evaluating the contribution of individual module to the STSubNet performance for simultaneously denoising and dereverberation. Experimental results show that STSubNet outperforms other subband variants and achieves competitive performance compared to state-of-the-art models on two publicly benchmark test sets.
ANALISIS KEPUASAN KINERJA KARYAWAN PADA BERDIKARI KOFFE MAGELANG

In a company, employee performance is one of the determining components of company performance. The object used by researchers is a business that is currently popular, namely a coffee shop. As evidenced by the increase in coffee shops and domestic coffee consumption over the past three years. This study aims to analyze performance satisfaction and its impact on employees who work in coffee shops. This research uses a type of qualitative method research. The sampling technique used was a workman who worked at the coffee shop who was positioned as a barista. Sampling with respondents 2 barista employees from 4 baristas. Interviews are a means of analyzing the 2 baristas. The results of the study stated that compensation, benefits, promotions, awards and colleagues quite gave a good impression of employee engagement because in fact, according to employees who work at the coffee shop, they prioritize comfort and a relaxed environment. Employee attachment has a positive influence on employee performance. Because of the close attention and sense of family between the employee and the coffeshop owner. According to employees, this is what makes their performance better and to achieve their dreams and desires in the future. Hence, Berdikari Koffee set the system of working part time.
An integrative insight into the diversity, distribution, and biogeography of the freshwater endemic clade of the Ponticola syrman group (Teleostei: Gobiidae) in the Caucasus biodiversity hotspot

Abstract Freshwater habitats of the Caucasus biodiversity hotspot represent a center of endemism for the gobiid genus Ponticola Iljin, 1927. Hitherto, large‐scale molecular studies, owing to restricted taxon and geographical sampling, have failed to give an elaborate picture of diversity and evolutionary history of these species. Here, to contribute to filling this gap, we assessed taxonomic diversity, phylogeography and evolutionary history for the south Caspian populations of Ponticola presently classified as P. iranicus and P. patimari, using an integrative taxonomic approach comprising an entire geographic range sampling, and analyses of mitochondrial DNA haplotypes, the head lateral line system, otolith shape, and meristic and morphometric variation. All freshwater samples of the P. syrman group belong to a monophyletic clade with two main subclades: a small subclade confined to the upper Sefidroud sub‐basin including the type locality of P. iranicus and a large subclade with three geographically constrained haplogroups (Hg1, Hg2, and Hg3), comprising the rest of the distribution. Hg1 showed an eastern distribution including the type locality of P. patimari, while Hg2 and Hg3 are sister groups with central and western‐central distributions, respectively. The freshwater clade diverged from P. syrman during the Tyurkyanian low stand (~150 m b.s.l. lasting ~0.1 Myr), while the divergence of P. iranicus and P. patimari and radiations within P. patimari took place during the Bakunian high stand (up to 50 m a.s.l. lasting ~378–480 kya). Species delimitation analyses indicated two distinct species, corresponding to each main subclade. Although the otolith shape and lateral line analyses did not reflect with phylogeographic pattern, PCA and DFA plots of meristic and morphometric data showed a clear separation of the two major subclades corresponding to P. iranicus and P. patimari, suggesting the presence of significant morphological variation meriting formal taxonomic recognition. Overall, our findings (i) reveal the presence of two freshwater endemic species in the P. syrman group, and pending further investigation, hypothesize the presence of a third cryptic species; (ii) revise and document a narrow distributional range and low diversity for P. iranicus, in contrast to a wider distributional range and high diversity for P. patimari; (iii) suggest that the climatic oscillations of the Pleistocene were associated with the cladogenesis within the P. syrman group; and (iv) allowed for the recognition of conservation units and proposition of management measures.
Aperiodic Order and Spectral Properties

This article presents a very gentle introduction to the field of aperiodic order, aimed at a general audience. It is intended to provide a "Snapshot of Modern Mathematics" relating to the Oberwolfach mini-workshop "Dynamical versus Diffraction Spectra in the Theory of Quasicrystals" in November/December 2014.
The Role of Presepsin and Procalcitonin in Early Diagnosis of Bacterial Infections in Cirrhotic Patients with Acute-on-Chronic Liver Failure

Background and Objectives: Bacterial infections represent one of the most frequent precipitating events of acute-on-chronic liver failure (ACLF) in a patient with liver cirrhosis (LC). Early diagnosis and treatment could influence the ACLF reversal rate and decrease the mortality rate in these patients. The study aimed to evaluate the role of presepsin, C-reactive protein (CRP), and procalcitonin (PCT) in the early diagnosis of bacterial infections in patients with LC and ACLF, defined according to the European Association for the Study of the Liver-Chronic Liver Failure Consortium (EASL-CLIF) criteria. Material and Methods: We performed a prospective observational study including all consecutive cirrhotic patients with ACLF admitted to our tertiary university center. The patients were follow-up until discharge. All patients were screened for infection at admission, and we included patients with community-acquired or healthcare-associated bacterial infections. Results: In this study, we included 153 patients with a median age of 60 years, of whom 65.4% were male. Infections were diagnosed in 71 patients (46.4%). The presepsin, CRP, and PCT levels were higher in patients with infections than in those without infections (p < 0.001, p = 0.023, and p < 0.001, respectively). The ROC analysis results demonstrated that the best cut-offs values for infections diagnosis were for presepsin 2300 pg/mL (sensitivity of 81.7%, specificity of 92.7%, AUROC 0.959, p < 0.001), CRP 5.3 mg/dL (sensitivity of 54.9%, specificity of 69.6%, AUROC 0.648, p = 0.023), and PCT 0.9 ng/mL (sensitivity of 80.3%, specificity of 86.6%, AUROC 0.909, p < 0.001). Presepsin (OR 3.65, 95%CI 1.394–9.588, p = 0.008), PCT (OR 9.79, 95%CI 6.168–25.736, p < 0.001), and MELD score (OR 7.37, 95%CI 1.416–18.430, p = 0.018) were associated with bacterial infections in patients with ACLF. Conclusion: Presepsin level ≥2300 pg/mL and PCT level ≥0.9 ng/mL may be adequate non-invasive tools for the early diagnosis of infections in cirrhotics with ACLF.
A Three-Stage Wideband GaN PA for 5G mm-Wave Applications

This brief presents a three-stage wideband power amplifier (PA) monolithic microwave integrated circuit (MMIC) using 100 nm GaN-on-Si process. A synthesized matching strategy is introduced to achieve high efficiency and improve gain flatness over a wide operation bandwidth. For demonstration, one monolithic microwave integrated circuit (MMIC) PA working from 24 to 29 GHz is designed, which covers the typical 5G millimeter-wave (mm-wave) bands. The measured output power reaches 30 dBm and the measured power added efficiency (PAE) exceeds 27.6% over the frequency range of 24 to 29 GHz. Meanwhile, the peak PAE of 40.6% and the peak power of 31.3 dBm are obtained at 27.5 GHz. Besides, the PA shows a measured gain of 18.7 to 21.2 dB from 25 to 30.5 GHz, with gain flatness of ±1.26dB.
Remote‐Sensing Derived Trends in Gross Primary Production Explain Increases in the CO2 Seasonal Cycle Amplitude

An increase in the seasonal cycle amplitude (SCA) of atmospheric CO2 since the 1960s has been observed in the Northern Hemisphere (NH). However, the underlying dominant drivers are still debated. The peak season CO2 uptake by vegetation is critical in shaping the CO2 seasonality. Using satellite‐upscaled gross primary production (GPP) from FLUXCOM and near‐infrared reflectance of vegetation (NIRV), we demonstrate that peak GPP has increased across the NH over the last two decades. We relate this productivity increase to changes in the CO2 SCA using an atmospheric transport model. The increased photosynthesis has strongly contributed to CO2 SCA trends, but with substantial latitudinal and longitudinal variations. Despite a general increase in the CO2 SCA, there are distinct regional differences. These differences are mainly controlled by regional biosphere carbon fluxes, with the remainder explained by non‐biome factors, including large‐scale atmospheric transport, changes in fossil fuel combustion, biomass burning and oceanic fluxes. Using the global flask and in situ CO2 measurement sites, we find that SCA trends at high latitude are mainly driven by increasingly productive natural ecosystems, whereas mid latitude sites around the Midwest United States are mainly impacted by intensified agriculture and atmospheric transport. Averaging across the 15 long‐term surface sites, forests contribute 26% (7%) to the SCA trends, while crops contribute 17% (24%) and the combined shrubland, grassland and wetland regions contribute 23% (37%) for simulations driven by FLUXCOM (NIRv) ecosystem fluxes. Our findings demonstrate that satellite inferred trends of ecosystem fluxes can capture the observed CO2 SCA trend.
New Record of Anisopteromalus calandrae at Veracruz, Mexico: A Parasitoid of Sitophilus zeamais

Abstract. Anisopteromalus calandrae from Veracruz, Mexico, was characterized morphologically and molecularly. Specimens associated with Sitophilus zeamais (Motschulsky) in stored maize (Zea mays L) were collected. Morphology and the barcode region of the cytochrome oxidase 1 confirmed the identity of the parasitoid.
Dynamic RNA-Seq Study Reveals the Potential Regulators of Seed Germination in Paris polyphylla var. yunnanensis

Paris polyphylla var. yunnanensis is an important traditional Chinese medicine, but poor seed germination limits its large-scale artificial cultivation. Thus, it is crucial to understand the regulators of seed germination to obtain clues about how to improve the artificial cultivation of Paris polyphylla. In this study, the seeds at three germination stages, including ungerminated seeds (stage 1), germinated seeds with a 0.5 cm radicel length (stage 2), and germinated seeds with a 2.0 cm radicel length (stage 3) after warm stratification (20 °C) for 90 days were used for RNA sequencing. Approximately 220 million clean reads and 447,314 annotated unigenes were obtained during seed germination, of which a total of 4454, 5150, and 1770 differentially expressed genes (DEGs) were identified at stage 1 to stage 2, stage 1 to stage 3, and stage 2 to stage 3, respectively. Encyclopedia of Genes and Genomes (KEGG) analysis revealed that the DEGs were significantly enriched in carbohydrate metabolism, lipid metabolism, signal transduction, and translation. Of them, several genes encoding the glutamate decarboxylase, glutamine synthetase, alpha-galactosidase, auxin-responsive protein IAA30, abscisic-acid-responsive element binding factor, mitogen-activated protein kinase kinase 9/18, and small and large subunit ribosomal proteins were identified as potentially involved in seed germination. The identified genes provide a valuable resource to study the molecular basis of seed germination in Paris polyphylla var. yunnanensis.
Productivity and the Qualitative Response of Sorghum to Different Planting Patterns and Various Cultivars

Planting patterns and different cultivars play a significant role in forage crops quality and productivity. Therefore, we conducted a field experiment under different planting patterns and cultivars to evaluate sorghum crop yield, yield components, and quality at Agronomic Research Farm, Department of Agronomy, University of Agriculture Faisalabad, Pakistan, in 2015. The experiment consists of three sorghum cultivars (Jawar 2002, Sorghum-2011, and JS-2002) with a seed rate of 75 kg ha-1 at different planting patterns (P1=60 cm × 20 cm, P2=50cm × 24 cm, and P3=340 cm × 30 cm). Results showed that sorghum 2011 resulted in higher growth and qualitative attributes than other cultivars. For example, increase in plant height (237.11 cm), dry weight plant-1 (40.61 g), forage yield (57.66 ton ha-1), crude protein contents (6.12 %), fiber contents (32.12 %) and ash contents (8.73%) was observed in sorghum 2011 as compared to other cultivars. Whereas, among planting pattern P3 (40 x 30 cm ) produced maximum plant height (236.33 cm), leaves plant-1( 13.66), stem diameter (1.09 cm), forage yield (55.52 ton ha-1), dry matter yield (18.53 ton ha-1) and crude protein contents (6.06 %) as compared to P1 and P2. This study suggested that the cultivar sorghum 2011 with a planting pattern of 40 x 30 cm is a promising option to improve yield, yield components and quality of sorghum crop.
-18-Optimize the Incentive Mechanism: An Effective Way to Stimulate the Vitality of Primary and Secondary Schools

: A large number of studies have shown that the current vitality of primary and secondary schools is insufficient, and the healthy development of schools is restricted. This is manifested in the following: The incentive mechanism for schools to organize their own schools in accordance with the law is not perfect; the incentive mechanism for social participation in school governance is lacking. Therefore, we should encourage schools to run their own schools by exchanging performance for autonomy; Clarify the school performance objectives and combine performance with reward and accountability; Build a perfect teacher incentive system; Encourage, support and guide parents, communities and other school stakeholders to participate in school management in an orderly manner.
Localization of epileptogenic foci by automatic detection of high‐frequency oscillations based on waveform feature templates

Epilepsy is one of the most common neurological disorders, and there exists a subset of patients with refractory epilepsy that require surgical removal of the epileptogenic foci (EF) area. Studies have shown that high‐frequency oscillations (HFOs) in epileptic electroencephalogram signals can be used as an essential biomarker for locating EF. This paper proposes a new method for rapid localization of EF based on the automatic detection of HFOs by waveform feature templates (WFTs). First, the initial screening of HFOs based on Hilbert transform and subsequent rescreening with short‐time energy and short‐time Fourier transform is performed, and the two screening results are used as the template data set of HFOs. Then, a coarse‐grained and fine‐grained screening method for detecting HFOs using autocorrelation coefficients and interrelation coefficients as WFT detectors, respectively. Compared with the Hilbert transform detector and other HFOs detector methods proposed at abroad in recent years, the experimental simulations showed that the automatic detector based on WFT could detect HFOs more rapidly, accurately, and efficiently. Our proposed WFT detector has the advantages of high specificity, high sensitivity, and high accuracy in locating EF and has a high clinical utility.