Miracle-dz/UniFAR-FTUs huggingface dataset:
Resistome Analysis of Campylobacter jejuni Strains Isolated from Human Stool and Primary Sterile Samples in Croatia

Campylobacteriosis represents a global health challenge due to continuously increasing trends of antimicrobial resistance in Campylobacter jejuni. C. jejuni can sometimes cause life-threatening and severe systematic infections (bacteremia, meningitis, and other extraintestinal infections) with very few antibiotics left as treatment options. Bearing in mind that C. jejuni is the predominant species in humans, in this paper, we present a study of the C. jejuni differences in antimicrobial resistance and genotype distribution between strains isolated from stool and primary sterile sites. We compared the genomic data obtained through whole genome sequencing (WGS) and phenotypic susceptibility data of C. jejuni strains. Once antimicrobial susceptibility testing of C. jejuni strains was carried out by the broth microdilution method for six of interest, results were compared to the identified genotypic determinants derived from WGS. The high rate of resistance to fluoroquinolones presented in this study is in accordance with national surveillance data. The proportion of strains with acquired resistance was 71% for ciprofloxacin and 20% for tetracycline. When invasive isolates were analysed separately, 40% exhibited MIC values of ciprofloxacin higher than the ECOFFs, suggesting a lower flouroquinolone resistance rate in invasive isolates. All isolates demonstrated wilde-type phenotype for chloramphenicol, erythromycin, gentamicin, and ertapenem. A special focus and review in this study was performed on a group of C.jejuni strains found in primary sterile samples. Apart from demonstrating a lower resistance rate, these isolates seem genetically more uniform, showing epidemiologically more homogenous patterns, which cluster to several clonal complexes, with CC49 being the most represented clonal complex.
Balanced and unbalanced diplexers design using substrate integrated waveguide cavities

The contribution of this article is to propose a balanced and unbalanced diplexers design using substrate integrated waveguide cavities (SIWCs). The employed SIWCs are square cavities which support two co‐frequency degenerate modes. A row of via‐holes is introduced inside the cavity to split the degenerate modes’ co‐frequency resonances into two frequency‐distinct ones, thus creating two duplexing bands with an auxiliary signal filtering effect. The fabricated diplexers performed quite well with measured and simulated results being in good agreement. The measured isolations between the two duplexing ports are more than 40 dB. Furthermore, the balanced SIWC diplexer has its measured common‐mode rejection levels >42 dB, and the measured common‐mode isolations between the two duplexing ports are >53 dB.
Use of handheld electrocardiograph (SnapECG) for the remote monitoring of arrhythmias

Objective To investigate the value of a SnapECG monitoring in diagnosing arrhythmias compared with the conventional management. Methods In the first phase, the SnapECG and 12-lead electrocardiogram (ECG) were simultaneously adopted to detect arrhythmias in 439 hospitalized patients. The accuracies of the SnapECG in detecting different arrhythmias were assessed. In the second phase, 62 patients with palpitations were randomized to receive the SnapECG monitoring or conventional management for 3 months. The diagnosis rate, time of diagnosis, episodes before diagnosis, associated expenses, and scores of the modified European Heart Rhythm Association (EHRA), Self-rating Anxiety Scale (SAS), and the 36-item short-form health survey questionnaire (SF-36) were compared between groups. Results In the first phase, the SnapECG monitoring showed a sensitivity of 83.55% and specificity of 96.79% in identifying tachyarrhythmias, and a sensitivity of 95.29% and specificity of 97.54% in identifying bradyarrhythmias. In the second phase, 1642 ECGs were recorded by the SnapECG, among which 290 abnormal ECGs were identified. Compared with the conventional management, the SnapECG monitoring increased the diagnosis rate of symptomatic arrhythmias (70.97% vs. 19.35%, P < 0.05), shortened the time of diagnosis (48.26 ± 36.78 days vs. 71.45 ± 30.01 days, P < 0.05) and consequently reduced the episodes of symptomatic arrhythmias prior to establishing diagnosis. The scores of modified EHRA, SAS, SF-36 significantly improved at 3-month compared with their baseline levels in the SnapECG group. Conclusions Remote monitoring with the SnapECG can achieve early diagnosis of symptomatic arrhythmias. However, its sensitivity in identifying P-wave-related arrhythmias warrants further improvement.
Quantum State Protection and Transfer Using Superconducting Qubits

This dissertation presents a theoretical analysis of protocols relevant for quantum information processing with superconducting qubits. The purpose of these protocols is decoherence suppression and quantum information transfer. Our analysis makes use of the standard density matrix formalism and Kraus operator (operator-sum) representation of quantum operations. We also use the mathematical trick of unravelling continuous evolution into discrete scenarios with corresponding probabilities.We show that decoherence due to zero-temperature energy relaxation can be almost completely suppressed, probabilistically, by weak measurement reversal (also known as quantum uncollapsing). To protect a qubit, a weak (partial) quantum measurement moves it towards the ground state, where it is kept during the storage period, while the second partial measurement restores the initial state. This procedure preferentially selects the cases without energy decay events. Stronger decoherence suppression requires smaller selection probability; a desired point in this trade-off can be chosen by varying the measurement strength.We also analyze several simple quantum error correction (QEC) and quantum error detection (QED) protocols, relevant to superconducting qubits. We show that for energy relaxation the repetitive N-qubit quantum codes cannot be used for QEC, but can be used for QED (also known as probabilistic error correction). Moreover, the repetitive code with only two qubits is sufficient for QED. We also present several other two-qubit algorithms realizable with the current technology of superconducting phase qubits; these algorithms can demonstrate QEC for intentional errors and QED for real decoherence.We also analyze a procedure designed to transfer the state of a microwave qubit from one superconducting resonator to another resonator via a transmission line; the emission and capture of the microwave energy is achieved using tunable couplers. The procedure is shown to be robust against experimental imperfections of required pulse shapes. Our results also indicate that a successful state transfer requires nearly equal resonator frequencies for the entire duration of the procedure.
Implications of Resveratrol in Obesity and Insulin Resistance: A State-of-the-Art Review

Background: Resveratrol is a polyphenol chemical that naturally occurs in many plant-based dietary products, most notably, red wine. Discovered in 1939, widespread interest in the potential health benefits of resveratrol emerged in the 1970s in response to epidemiological data on the cardioprotective effects of wine. Objective: To explore the background of resveratrol (including its origins, stability, and metabolism), the metabolic effects of resveratrol and its mechanisms of action, and a potential future role of dietary resveratrol in the lifestyle management of obesity. Data sources: We performed a narrative review, based on relevant articles written in English from a Pubmed search, using the following search terms: “resveratrol”, “obesity”, “Diabetes Mellitus”, and “insulin sensitivity”. Results: Following its ingestion, resveratrol undergoes extensive metabolism. This includes conjugation (with sulfate and glucuronate) within enterocytes, hydrolyzation and reduction within the gut through the action of the microbiota (with the formation of metabolites such as dihydroresveratrol), and enterohepatic circulation via the bile. Ex vivo studies on adipose tissue reveal that resveratrol inhibits adipogenesis and prevents the accumulation of triglycerides through effects on the expression of Peroxisome Proliferator-activated Receptor γ (PPARγ) and sirtuin 1, respectively. Furthermore, resveratrol induces anti-inflammatory effects, supported by data from animal-based studies. Limited data from human-based studies reveal that resveratrol improves insulin sensitivity and fasting glucose levels in patients with Type 2 Diabetes Mellitus and may improve inflammatory status in human obesity. Although numerous mechanisms may underlie the metabolic benefits of resveratrol, evidence supports a role in its interaction with the gut microbiota and modulation of protein targets, including sirtuins and proteins related to nitric oxide, insulin, and nuclear hormone receptors (such as PPARγ). Conclusions: Despite much interest, there remain important unanswered questions regarding its optimal dosage (and how this may differ between and within individuals), and possible benefits within the general population, including the potential for weight-loss and improved metabolic function. Future studies should properly address these important questions before we can advocate the widespread adoption of dietary resveratrol supplementation.
Coplanar MMIC active bandpass filters using negative resistance circuits

A second order active bandpass filter for a fixed centre frequency and a tunable one have been developed in a coplanar line technique using negative resistance circuits. These filters operate in the 1.8 GHz band and have a 3 dB bandwidth of 110 MHz. The tuning range of the centre frequency is 200 MHz. Each filter is fabricated on a GaAs substrate and occupies an area of 1.5/spl times/1.6 mm/sup 2/ on the wafer including all biasing elements. <<ETX>>
Impact of Cerium Oxide on the State and Hydrogenation Activity of Ruthenium Species Incorporated on Mesocellular Foam Silica

Herein, the impact of cerium species loaded on mesoporous silica of MCF type on the state and catalytic activity of ruthenium species was studied. Up to 20 wt. % of cerium was incorporated on the silica surface, whereas the same 1 wt. % of Ru loading was applied. The samples prepared were examined by low temperature N2 adsorption/desorption, XRD, XRF, ICP-OES, XPS and H2 chemisorption. The catalytic activity of the materials obtained was investigated in the transformation of levulinic acid to γ-valerolactone. It was documented that the presence of Ce favored an increase in the dispersion of ruthenium species, which had a positive impact on the hydrogenation activity for up to 10 wt. % of Ce. Nevertheless, the highest cerium loading had a negative influence on the textural parameters of the support.
Chromosome-Level Genome Assembly and Transcriptome Comparison Analysis of Cephalopholis sonnerati and Its Related Grouper Species

Simple Summary C. sonnerati is an important marine fish species in coral reef ecosystems and has huge commercial value. This species serves as an excellent research model due to its complex social structures and behavior mechanisms. Nevertheless, owing to the lack of genomic resources, molecular genetic studies and genomic breeding remain unexplored in this species. Therefore, it is important to obtain more genome sequences of Cephalopholis grouper species for research on the classification, evolution, genetics, and biology of groupers. In the present study, we first assembled a high-quality, chromosome-level C. sonnerati genome, providing a valuable genome resource for further studies of the genetic conservation, resistance breeding, and evolution of C. sonnerati. Abstract The tomato hind, Cephalopholis sonnerati, is a bottom-dwelling coral reef fish, which is widely distributed in the Indo-Pacific and Red Sea. C. sonnerati also features complex social structures and behaviour mechanisms. Here, we present a high-quality, chromosome-level genome assembly for C. sonnerati that was derived using PacBio sequencing and Hi-C technologies. A 1043.66 Mb genome with an N50 length of 2.49 Mb was assembled, produced containing 795 contigs assembled into 24 chromosomes. Overall, 97.2% of the complete BUSCOs were identified in the genome. A total of 26,130 protein-coding genes were predicted, of which 94.26% were functionally annotated. Evolutionary analysis revealed that C. sonnerati diverged from its common ancestor with E. lanceolatus and E. akaara approximately 41.7 million years ago. In addition, comparative genome analyses indicated that the expanded gene families were highly enriched in the sensory system. Finally, we found the tissue-specific expression of 8108 genes. We found that these tissue-specific genes were highly enriched in the brain. In brief, the high-quality, chromosome-level reference genome will provide a valuable genome resource for studies of the genetic conservation, resistance breeding, and evolution of C. sonnerati.
Microsporidia Promote Host Mitochondrial Fragmentation by Modulating DRP1 Phosphorylation

Microsporidia are obligate intracellular parasites that infect a wide variety of hosts ranging from invertebrates to vertebrates. These parasites have evolved strategies to directly hijack host mitochondria for manipulating host metabolism and immunity. However, the mechanism of microsporidia interacting with host mitochondria is unclear. In the present study, we show that microsporidian Encephalitozoon greatly induce host mitochondrial fragmentation (HMF) in multiple cells. We then reveal that the parasites promote the phosphorylation of dynamin 1-like protein (DRP1) at the 616th serine (Ser616), and dephosphorylation of the 637th serine (Ser637) by highly activating mitochondrial phosphoglycerate mutase 5 (PGAM5). These phosphorylation modifications result in the translocation of DRP1 from cytosol to the mitochondrial outer membrane, and finally lead to HMF. Furthermore, treatment with mitochondrial division inhibitor 1 (Mdivi1) significantly reduced microsporidian proliferation, indicating that the HMF are crucial for microsporidian replication. In summary, our findings reveal the mechanism that microsporidia manipulate HMF and provide references for further understanding the interactions between these ubiquitous pathogens with host mitochondria.
Seccomp Filters from Fuzzing

: Seccomp is an integral part of Linux sandboxes, but intimate knowledge of the required syscalls of a program are required. We present a fuzzer-based dynamic approach to auto-generate seccomp filters that permit only the required syscalls. In our model, a syscall is required, if any execution path leads to its invocation. Our implementation combines a symbolic execution step and a custom mutator to take command line flags into account and achieve a large coverage of the SUT. We provide an evaluation of our tool on popular command line tools and find up to 100% of the system calls found through manual analysis.
Wearable Electronics Sensors : For Safe and Healthy Living

This edited book contains invited papers from renowned experts working in the field of Wearable Electronics Sensors. It includes 14 chapters describing recent advancements in the area of Wearable Sensors, Wireless Sensors and Sensor Networks, Protocols, Topologies, Instrumentation architectures, Measurement techniques, Energy harvesting and scavenging, Signal processing, Design and Prototyping. The book will be useful for engineers, scientist and post-graduate students as a reference book for their research on wearable sensors, devices and technologies which is experiencing a period of rapid growth driven by new applications such as heart rate monitors, smart watches, tracking devices and smart glasses.
Performance Analysis of Multiple Wave Energy Converters Placed on a Floating Platform in the Frequency Domain

Wind-wave hybrid power generation systems have the potential to become a significant source of affordable renewable energy. However, their strong interactions with both wind- and wave-induced forces raise a number of technical challenges for modelling. The present study undertakes a numerical investigation on multi-body hydrodynamic interaction between a wind-wave hybrid floating platform and multiple wave energy converters (WECs) in a frequency domain. In addition to the exact responses of the platform and the WECs, the power take-off (PTO) mechanism was taken into account for analysis. The coupled hydrodynamic coefficients and wave exciting forces were obtained from WAMIT, the 3D diffraction/radiation solver based on the boundary element method. The overall performance of the multiple WECs is presented and compared with the performance of a single isolated WEC. The analysis showed significant differences in the dynamic responses of the WECs when the multi-body interaction was considered. In addition, the PTO damping effect made a considerable difference to the responses of the WECs. However, the platform response was only minimally affected by PTO damping. With regard to energy capture, the interaction effect of the designed multiple WEC array layout is evaluated. The WEC array configuration showed both constructive and destructive effects in accordance with the incident wave frequency and direction.
Enhancing Pre-Trained Language Representations Based on Contrastive Learning for Unsupervised Keyphrase Extraction

—Keyphrase extraction (KPE) aims to obtain a set of phrases from a document that can summarize the main content of the document. Recently, pre-trained language models (LMs), especially BERT and ELMo, have achieved remarkable success, presenting new state-of-the-art results in unsupervised KPE. However, current pre-trained LMs focus on building language modeling objectives to learn a general representation, ignoring the keyphrase-related knowledge. Intuitively, the joint embedding of the keyphrase set should tend to be close to that of the extracted document, and far from those of other documents. In this work, we propose a contrastive learning-based semantic representation task to further improve BERT for unsupervised KPE. Particularly, we design a doc-phrase attention module to generate joint semantic embedding of the keyphrase set as a positive sample and select other semantically similar documents as hard negative samples. In the prediction layer, we further add an accumulated self-attention module to calculate the final scores of candidate phrases. We compare with eight strong baselines, and evaluate our model on three publicly available datasets. Experimental results show that our model is effective and robust on both long and short documents.
NUMERICAL SOLUTIONS TO THE NAVIER-STOKES EQUATIONS IN TWO AND THREE DIMENSIONS

In this thesis the solutions of the two-dimensional (2D) and three-dimensional (3D) lid-driven cavity problem are obtained by solving the steady Navier-Stokes equations at high Reynolds numbers. In 2D, we use the streamfunction-vorticity formulation to solve the problem in a square domain. A numerical method is employed to discretize the problem in the x and y directions with a spectral collocation method. The problem is coded in the MATLAB programming environment. Solutions at high Reynolds numbers are obtained up to $Re=25000$ on a fine grid of 131 * 131. The same method is also used to obtain the numerical solutions for the steady separated corner flow at high Reynolds numbers are generated using a for various domain sizes, at various Reynolds number which are much higher than those obtained by other researchers.Finally, the numerical solutions for the three-dimensional lid-driven cavity problem are obtained by solving the velocity-vorticity formulation of the Navier-Stokes equations for various Reynolds numbers. A spectral collocation method is employed to discretize the y and z directions and finite difference method is used to discretize the x direction. Numerical solutions are obtained for Reynolds number up to 200.
Interactive Hemocompatible Nanocoating to Prevent Surface‐Induced Coagulation in Medical Devices

Interfacing blood with any artificial surface instantly triggers the activation of coagulation at the interface, posing a risk of adverse thromboembolic complications. Immediately upon contact, blood proteins adsorb to the surface turning it into an active prothrombogenic and proinflammatory interface promoting the activation of platelets and the coagulation cascade. Here, an interactive hemocompatible nanocoating is designed that synergistically combines antifouling polymer brushes with the activity of an anti‐FXIIa antibody to tackle the two main causes of surface‐induced coagulation. The brushes provide a passive layer rendering the surface stealth and non‐thrombogenic against blood activation. Furthermore, as soon as traces of FXIIa arise, the coating immediately and specifically scavenges it, thus actively switching‐off contact activation right at the beginning. Moreover, a means is developed to translate this coating to a broad range of polymeric surfaces commonly used in medical devices. The coated surfaces prevent protein adsorption and provide a barrier to bacterial colonization while being capable of capturing biologically relevant concentrations of FXIIa. Notably, the coating completely prevents the formation of clots on the surface when exposed to blood. Thus, the interactive anti‐FXIIa nanocoating provides a new avenue to improve the hemocompatibility of medical devices in a safe and efficient manner.
ACAPARAMIENTO DE TIERRAS, DESCOMPOSICIÓN Y RELEVO GENERACIONAL: LA ESTRUCTURA AGRARIA URUGUAYA ENTRE 2000 Y 2011

En este trabajo realizamos una propuesta de análisis y conceptualización de los principales procesos de transformación que se han dado en la estructura agraria uruguaya entre 2000 y 2011, vinculándolos con el tema más amplio del recambio generacional y el ciclo de vida de los hogares. Los resultados obtenidos, a partir del análisis de cohortes realizado para los distintos tipos sociales agrarios construidos, nos permitieron identificar múltiples procesos de acaparamiento de tierras, de concentración y de descomposición de la producción familiar. Con base en eso, consideramos que se logra una representación más adecuada de la compleja secuencia de cambios desatada por avance capitalista en los inicios del SXXI.
Forecasting political parties and candidates for Indonesia’s presidential election in 2024 using twitter

The purpose of this study is to forecast the political parties and candidates running for president of Indonesia in 2024. Nvivo 12 software is used in this study's quantitative methodology for descriptive content analysis. Twitter users are the study's research subjects. The information was collected via Twitter Search, which targeted the term "Pilpres 2024. " According to this analysis, Anies Baswedan, Prabowo, and Ganjar Pranowo will be the winning candidates. Political parties' geographic distribution reveals that the 2024 presidential election would see political tensions between parties with nationalist and religious ideologies.