Miracle-dz/UniFAR-FTUs huggingface dataset:
Adverse drug events associated with linezolid administration: a real-world pharmacovigilance study from 2004 to 2023 using the FAERS database

Introduction: Linezolid is an oxazolidinone antibiotic that is active against drug-resistant Gram-positive bacteria and multidrug-resistant Mycobacterium tuberculosis. Real-world studies on the safety of linezolid in large populations are lacking. This study aimed to determine the adverse events associated with linezolid in real-world settings by analyzing data from the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS). Methods: We retrospectively extracted reports on adverse drug events (ADEs) from the FAERS database from the first quarter of 2004 to that of 2023. By using disproportionality analysis including reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), along with the multi-item gamma Poisson shrinker (MGPS), we evaluated whether there was a significant association between linezolid and ADE. The time to onset of ADE was further analyzed in the general population and within each age, weight, reporting population, and weight subgroups. Results: A total of 11,176 reports of linezolid as the “primary suspected” drug and 263 significant adverse events of linezolid were identified, including some common adverse events such as thrombocytopenia (n = 1,139, ROR 21.98), anaemia (n = 704, ROR 7.39), and unexpected signals that were not listed on the drug label such as rhabdomyolysis (n = 90, ROR 4.33), and electrocardiogram QT prolonged (n = 73, ROR 4.07). Linezolid-induced adverse reactions involved 27 System Organ Class (SOC). Gender differences existed in ADE signals related to linezolid. The median onset time of all ADEs was 6 days, and most ADEs (n = 3,778) occurred within the first month of linezolid use but some may continue to occur even after a year of treatment (n = 46). Conclusion: This study reports the time to onset of adverse effects in detail at the levels of SOC and specific preferred term (PT). The results of our study provide valuable insights for optimizing the use of linezolid and reducing potential side effects, expected to facilitate the safe use of linezolid in clinical settings.
Comparative Analysis of the Crosstalk Effects in Multilayer Graphene Nanoribbon and MWCNT Interconnects in Sub-10 nm Technologies

In this paper, the crosstalk effects in multilayer graphene nanoribbon (MLGNR) interconnects are evaluated and are compared with those in multiwalled carbon nanotube (MWCNT) interconnects in ternary integrated circuits at the 10 and 7 nm technologies. For a more precise evaluation, the five-line bus architecture is considered. Furthermore, the effects of the top and bottom aggressors are considered for a more accurate analysis in sub-10 nm dimensions. The active and passive shielding techniques are also applied to reduce the crosstalk effects. Our results indicate that the MLGNR interconnects outperform the MWCNTs, especially in the more realistic seven-line case, which also considers the effects of the bottom and top layer aggressors. Also, the advantages of the MLGNR interconnects become more significant when the node shrinks from 10 to 7 nm. The crosstalk delays of normal, passively shielded, and actively shielded five-line MLGNRs at 7 nm are on average 49%, 56%, and 54% lower compared to their MWCNT counterparts, respectively. These improvements are 36%, 36%, and 41% regarding the power. Moreover, the normal and actively shielded MLGNRs have 25% and 72% smaller crosstalk noise area than their MWCNT counterparts, respectively. The smaller crosstalk noise for MLGNR leads to noise-free signals at the end of both actively and passively shielded victim lines in ternary logic at the 10 and 7 nm technologies.
Ecological Media Reveal Community Structure Shifts in a Municipal Wastewater Treatment Train

Unique ecological/habitat media derived from four phases of a municipal wastewater treatment plant revealed the highest diversity (2.55-2.86) and evenness (0.79-0.87) for the raw sewage (R) medium. Richness was, however, inoculum- and media-dependent hence inocula R and P recorded the highest counts on media A and F, respectively.
Endoscopic Ultrasound-Guided Drainage of Pancreatic Fluid Collections: Not All Queries Are Already Solved

Pancreatic fluid collections (PFCs) are well-known complications of acute pancreatitis. The overinfection of these collections leads to a worsening of the prognosis with an increase in the morbidity and mortality rate. The primary strategy for managing infected pancreatic necrosis (IPN) or symptomatic PFCs is a minimally invasive step-up approach, with endosonography-guided (EUS-guided) transmural drainage and debridement as the preferred and less invasive method. Different stents are available to drain PFCs: self-expandable metal stents (SEMSs), double pigtail stents (DPPSs), or lumen-apposing metal stents (LAMSs). In particular, LAMSs are useful when direct endoscopic necrosectomy is needed, as they allow easy access to the necrotic cavity; however, the rate of adverse events is not negligible, and to date, the superiority over DPPSs is still debated. Moreover, the timing for necrosectomy, the drainage technique, and the concurrent medical management are still debated. In this review, we focus attention on indications, timing, techniques, complications, and particularly on aspects that remain under debate concerning the EUS-guided drainage of PFCs.
Treatment Patterns and Recommendations for Improving the Management of Hepatocellular Carcinoma in Saudi Arabia

Abstract Hepatocellular carcinoma (HCC) is the sixth most common type of cancer in the world associated with high morbidity and mortality. Despite being a significant healthcare burden there is limited information on the unmet needs and current treatment practices for intermediate and advanced-stage HCC in Saudi Arabia. This article analyzes the gaps and provides expert consensus on the management strategies for unresectable HCC in Saudi Arabia. A pre-meeting online questionnaire, comprising 20 objective questions about the treatment landscape and diagnosis of HCC in Saudi Arabia, was distributed to experts in the field of HCC management. An advisory board meeting including a panel of 13 experts was held in September 2022 where the responses to the survey questionnaire were reviewed and discussed. The survey results and experts’ discussion highlighted the growing incidence of liver cancer in Saudi Arabia. HCC comprised the majority of all liver cancer cases due to rising rates of chronic viral infections and lifestyle-related risk factors. Most physicians in Saudi Arabia follow the Barcelona Clinic Liver Cancer guidelines as a prognostic tool for the detection and staging of patients with HCC. Most of the patients with HCC in Saudi Arabia are diagnosed in the intermediate or advanced stages with poor prognoses and limited therapeutic options. Establishing evidence-based surveillance techniques, a multidisciplinary approach to diagnosis, and better accessibility of treatment options is vital for the management of HCC in Saudi Arabia.
A Deep Cross-Modal Fusion Network for Road Extraction With High-Resolution Imagery and LiDAR Data

Urban road extraction is important for the applications of urban planning and transportation. High-resolution image (HRI) has been one of the most popular data sources for extracting roads with high efficiency and low cost. However, roads in HRI are easily obscured by buildings, trees, and other landscapes, resulting in discontinuity of the extracted roads. While current road extraction techniques by multimodal data fusion have shown improved results compared to single-modal methods by incorporating additional information, most existing fusion methods fail to fully exploit the features from different modalities and consider prior knowledge of roads. To address the above problems, a dual encoder-based cross-modal complementary fusion network (DECCFNet) is proposed in this article. The proposed network takes full advantage of the rich feature information contained in HRI and the immunity of LiDAR data to the influence of shadows. By effectively fusing the complementary information from HRI and LiDAR data, DECCFNet, respectively, achieved an improvement by at least 2.94% and 2.8% in IOU compared to those only using a single data modality on the two datasets. The proposed DECCFNet mainly contains two modules: 1) cross-modal feature fusion (CMFF) module: in the dual encoder part, CMFF is employed to fuse the deep features of different modalities from the channel and spatial dimension, while a multiscale fusion strategy is utilized to extract the contextual information; 2) multi-direction strip convolution (MDSC) module: since roads have the characteristics of narrowness and continuity, adopting classical convolution kernels directly on road features may introduce irrelevant pixels into the computation, blurring the extraction results. To mitigate this issue, MDSC is applied to strip the convolution of road features from multiple directions based on square convolution and make the network focus more on the specific road features. By comparing several deep-learning multimodal data fusion networks in the two road datasets, the proposed network exhibits the best road extraction results.
Backstepping Controller for Mobile Robot in Presence of Disturbances and Uncertainties

The objective of this work is to devise an effective control system for addressing the trajectory tracking challenge in nonholonomic mobile robots. Two primary control approaches, namely kinematic and dynamic strategies, are explored to achieve this goal. In the kinematic control domain, a backstepping controller (BSC) is introduced as the core element of the control system. The BSC is utilized to guide the mobile robot along the desired trajectory, leveraging the robot’s kinematic model. To address the limitations of the kinematic control approach, a dynamic control strategy is proposed, incorporating the dynamic parameters of the robot. This dynamic control ensures real-time control of the mobile robot. To ensure the stability of the control system, the Lyapunov stability theory is employed, providing a rigorous framework for analyzing and proving stability. Additionally, to optimize the performance of the control system, a genetic algorithm is employed to design an optimal control law. The effectiveness of the developed control approach is demonstrated through simulation results. These results showcase the enhanced performance and efficiency achieved by the proposed control strategies. Overall, this study presents a comprehensive and robust approach for trajectory tracking in nonholonomic mobile robots, combining kinematic and dynamic control strategies while ensuring stability and performance optimization.
On-Line GIS Analysis and Image Processing for Geoportal Kielce/poland Development

Abstract. GIS databases are widely available on the Internet, but mainly for visualization with limited functionality; very simple queries are possible i.e. attribute query, coordinate readout, line and area measurements or pathfinder. A little more complex analysis (i.e. buffering or intersection) are rare offered. Paper aims at the concept of Geoportal functionality development in the field of GIS analysis. Multi-Criteria Evaluation (MCE) is planned to be implemented in web application. OGC Service is used for data acquisition from the server and results visualization. Advanced GIS analysis is planned in PostGIS and Python programming. In the paper an example of MCE analysis basing on Geoportal Kielce is presented. Other field where Geoportal can be developed is implementation of processing new available satellite images free of charge (Sentinel-2, Landsat 8, ASTER, WV-2). Now we are witnessing a revolution in access to the satellite imagery without charge. This should result in an increase of interest in the use of these data in various fields by a larger number of users, not necessarily specialists in remote sensing. Therefore, it seems reasonable to expand the functionality of Internet's tools for data processing by non-specialists, by automating data collection and prepared predefined analysis.
Double-blinded, randomized clinical trial of Gegen Qinlian decoction pinpoints Faecalibacterium as key gut bacteria in alleviating hyperglycemia

Abstract Background Accumulating evidence suggests that metabolic disorders, including type 2 diabetes mellitus (T2DM), can be treated with traditional Chinese medicine formulas, such as the Gegen Qinlian decoction (GQD). This study elucidates the mechanisms by which gut microbes mediate the anti-diabetic effects of GQD. Methods We conducted a double-blind randomized clinical trial involving 120 untreated participants with T2DM. During the 12-week intervention, anthropometric measurements and diabetic traits were recorded every 4 weeks. Fecal microbiota and serum metabolites were measured before and after the intervention using 16S rDNA sequencing, liquid chromatography-mass spectrometry, and Bio-Plex panels. Results Anti-diabetic effects were observed in the GQD group in the human trial. Specifically, glycated hemoglobin, fasting plasma glucose, and two-hour postprandial blood glucose levels were significantly lower in the GQD group than in the placebo group. Additionally, Faecalibacterium was significantly enriched in the GQD group, and the short-chain fatty acid levels were higher and the serum inflammation-associated marker levels were lower in the GQD group compared to the placebo group. Moreover, Faecalibacterium abundance negatively correlated with the levels of serum hemoglobin, fasting plasma glucose, and pro-inflammatory cytokines. Finally, the diabetes-alleviating effect of Faecalibacterium was confirmed by oral administration of Faecalibacterium prausnitzii (DSMZ 17677) in T2DM mouse model. Conclusions GQD improved type 2 diabetes primarily by modulating the abundance of Faecalibacterium in the gut microbiota, alleviating metabolic disorders and the inflammatory state. Trial registration Registry No. ChiCTR-IOR-15006626.
Design, Synthesis, and Antitumor Evaluation of an Opioid Growth Factor Bioconjugate Targeting Pancreatic Ductal Adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) presents a formidable challenge with high lethality and limited effective drug treatments. Its heightened metastatic potential further complicates the prognosis. Owing to the significant toxicity of current chemotherapeutics, compounds like [Met5]-enkephalin, known as opioid growth factor (OGF), have emerged in oncology clinical trials. OGF, an endogenous peptide interacting with the OGF receptor (OGFr), plays a crucial role in inhibiting cell proliferation across various cancer types. This in vitro study explores the potential anticancer efficacy of a newly synthesized OGF bioconjugate in synergy with the classic chemotherapeutic agent, gemcitabine (OGF-Gem). The study delves into assessing the impact of the OGF-Gem conjugate on cell proliferation inhibition, cell cycle regulation, the induction of cellular senescence, and apoptosis. Furthermore, the antimetastatic potential of the OGF-Gem conjugate was demonstrated through evaluations using blood platelets and AsPC-1 cells with a light aggregometer. In summary, this article demonstrates the cytotoxic impact of the innovative OGF-Gem conjugate on pancreatic cancer cells in both 2D and 3D models. We highlight the potential of both the OGF-Gem conjugate and OGF alone in effectively inhibiting the ex vivo pancreatic tumor cell-induced platelet aggregation (TCIPA) process, a phenomenon not observed with Gem alone. Furthermore, the confirmed hemocompatibility of OGF-Gem with platelets reinforces its promising potential. We anticipate that this conjugation strategy will open avenues for the development of potent anticancer agents.
Pathway-based polygenic score analysis identifies the NRF2-KEAP1 and mRNA splicing - minor pathways as enriched in shared genetic variation between chronotype and bipolar disorder.

It has been postulated that circadian dysfunction may contribute to the sleep problems prevalent in neurodevelopmental and neuropsychiatric conditions. Genetic correlations between numerous pairs of neurodevelopmental or neuropsychiatric and sleep phenotypes have been identified. We hypothesize that this overlapping genetic variation is enriched in certain biological pathways. We used genome-wide polygenic score analysis to confirm previously reported genetic correlations and pathway-based polygenic score analysis to identify enriched pathways. We created polygenic scores using summary statistics from the largest genome-wide association studies (GWAS) of autism (AUT), attention-deficit/hyperactivity disorder (ADHD), schizophrenia (SCZ) and bipolar disorder (BP). We tested the performance of these polygenic scores in predicting chronotype and insomnia status of UK Biobank participants. For the pathway-based polygenic scores, we restricted genetic variation to SNPs that mapped to genes within 451 pathways from the Reactome database. Genome-wide polygenic scores for AUT, SCZ and BP were found to be associated with an evening chronotype, and polygenic scores for ADHD, AUT, SCZ and BP were found to be associated with insomnia status. Pathway-based polygenic score analysis identified the NRF2 KEAP1 and mRNA splicing minor pathways as being enriched for genetic variation overlapping between chronotype and BP. For the NRF2 KEAP1 pathway, the signal is enriched in the subset of genes that function with KEAP1 to regulate NRF2 expression. Examination of eQTL data pointed to BP associated SNPs within these gene-sets being associated with expression changes of many genes to which they map. A number of these eQTL SNPs were reported to be genome-wide significant for SCZ in previous studies. These results demonstrate that the overlapping genetic variation between chronotype and BP is enriched in genes involved in the NRF2-KEAP1 and mRNA splicing minor pathways. Animal model and human cell line studies have previously linked the NRF2 pathway to the pathology of BP and SCZ. Additionally, NRF2 and splicing components have been reported to be rhythmically regulated by circadian clock genes. Our results suggest that these pathways could be involved in mediating the disrupted circadian rhythm phenotype of BP.
Development of building thermal environment emulator to evaluate the performance of the HVAC system operation

A “performance gap” arises when the actual value of building energy consumption during the operational phase deviates from the value predicted using simulation during the design phase. One cause of this performance gap is that operation is not ideal, as assumed in the simulation, and the control of the heating, ventilating, and air conditioning (HVAC) system is not optimized. These problems occur because the operator has not been trained sufficiently and/or the building automation system is not working as intended by the developer. Both problems are fundamentally caused by the fact that the quality of building operation cannot be quantitatively evaluated by comparison with other buildings because a building is a heterogenous, single-item product. To address the performance gap problem, we developed a method for quantitatively evaluating building operation using a precise simulation based on a thermal environment emulator. The emulator software was developed using the BACnet protocol as an interface to the real world and includes an occupant behavior model to enable the assessment of operation in terms of thermal comfort as well as energy performance. In this paper, we report on the program and network structure of the proposed emulator. In addition, we show the concrete results of changing the operational control, and we assess changes in energy performance and comfort from the perspective of Pareto efficiency.
Suicide prevention: Introducing the Lothian Safekeeping Plan© for parents as a clinical innovation for use alongside safety plans for children and young people.

TOPIC Internationally, preventing suicide in children and young people is a priority and there are a range of preventative approaches available for health professionals to use, including brief interventions. Safety planning is one such brief intervention. Safety plans have long been recommended for use with young people who are suicidal but, these were initially developed for adults. A recent scoping review revealed safety plans need to be tailored to children and young people. This review also identified an important practice gap, that parents also require plans supporting them to keep their child safe. PURPOSE This paper highlights how a Scottish clinical child and adolescent mental health setting in the UK's National Health Service developed and implemented evidence-based safety plans for suicidality-the Lothian Safety Plan for young people and the Lothian Safekeeping Plan for parents. This paper outlines both plans and gives recommendations for their use by healthcare professionals. The parental Lothian Safekeeping Plan is discussed in more depth as this is a novel intervention. CONCLUSION The Lothian Safekeeping Plan is a clinically led evidence-based practice innovation. It is a specific suicide prevention plan for use by parents as an additional, complementary, and enhanced resource to the Lothian Safety Plan for young people. It is recommended that healthcare professionals also use a parental safety plan when supporting young people presenting with suicidal crisis. Further research is needed to evaluate the impact of these plans.
Robust agents learn causal world models

It has long been hypothesised that causal reasoning plays a fundamental role in robust and general intelligence. However, it is not known if agents must learn causal models in order to generalise to new domains, or if other inductive biases are sufficient. We answer this question, showing that any agent capable of satisfying a regret bound under a large set of distributional shifts must have learned an approximate causal model of the data generating process, which converges to the true causal model for optimal agents. We discuss the implications of this result for several research areas including transfer learning and causal inference.
Extracting the current-phase-relation of a monolithic three-dimensional nano-constriction using a DC-current-tunable superconducting microwave cavity

Superconducting circuits with nonlinear elements such as Josephson tunnel junctions or kinetic inductance nanowires are the workhorse for microwave quantum and superconducting sensing technologies. For devices, which can be operated at high temperatures and large magnetic fields, nano-constrictions as nonlinear elements are recently under intense investigation. Constrictions, however, are far less understood than conventional Josephson tunnel junctions, and their current-phase-relationships (CPRs) -- although highly important for device design -- are hard to predict. Here, we present a niobium microwave cavity with a monolithically integrated, neon-ion-beam patterned three-dimensional (3D) nano-constriction. By design, we obtain a DC-current-tunable microwave circuit and characterize how the bias-current-dependent constriction properties impact the cavity resonance. Based on the results of these experiments, we reconstruct the CPR of the nanoconstriction. Finally, we discuss the Kerr nonlinearity of the device, a parameter important for many high-dynamic-range applications and an experimental probe for the second and third derivatives of the CPR. Our platform provides a useful method to comprehensively characterize nonlinear elements integrated in microwave circuits and could be of interest for current sensors, hybrid quantum systems and parametric amplifiers. Our findings furthermore contribute to a better understanding of nano-fabricated 3D constrictions.