Miracle-dz/UniFAR-FTUs huggingface dataset:
Global adaptive output feedback tracking for nonlinear systems linear in unmeasured states

A global adaptive output feedback dynamic compensator is proposed for stabilization and tracking of a class of systems that are globally diffeomorphic into systems in generalized output-feedback canonical form. This form includes as special cases the standard output-feedback canonical form and various other forms considered previously in the literature. Output-dependent nonlinearities are allowed to enter both additively and multiplicatively. The system is allowed to contain unknown parameters multiplying output-dependent nonlinearities. Under the assumption that a constant matrix can be found to achieve a certain property, it is shown that a reduced-order observer and a backstepping controller can be designed to achieve asymptotic tracking. It is also shown that this assumption can be removed by introducing extra dynamics. This represents the first adaptive output-feedback tracking results for this class of systems.
Sediment Ripples and Dunes

It is a general observation that some of the most appealing and fruitful research fields are found at the borderlines of traditional research areas. One example of this is the study of sediment transport and the behavior of alluvial channels, where important contributions have been made by geologists, oceanographers, and civil engineers. One of the basic problems is that when a flow is confined by boundaries composed of noncohesive sediment, the interaction between flow and boundary molds the geometry of the channel and, hence, determines the hydraulic roughness. Further, the rate of sediment transport, which is another quantity of fundamental importance, depends to a large extent on the hydraulic resistance developed by the bed configuration. The dual problem of predicting flow resistance and sediment transport as well as attempting to explain the general behavior of alluvial channels is the subject of this review. Many of the aspects are far from being clarified in a satisfactory way, and it has not been possible to avoid controversial issues. In such cases the authors have tried to state the situation objectively, but without trying to hide their own point of view. To restrict the length of the paper, pneumatic transport of sediment is not mentioned. Neither do we treat important special subjects such as gravel-bed streams and rivers with very graded sediment or very high content of wash load.
Dynamics of a condensing liquid film under conjoining/disjoining pressures

The dynamics of a condensing apolar ultrathin liquid film is studied in the framework of long-wave theory in the cases of both horizontal and slightly tilted solid coated surfaces. When condensation is slow, the film on a horizontal substrate passes through the stages of hole opening driven by the “reverse reservoir effect,” hole closing, eventual thickness equilibration and further spatially uniform growth of the condensate. When condensation is faster and the resistance to phase change is lower, secondary droplet(s) may emerge within the hole. During the film evolution the thickness of the microlayer covering the hole remains practically constant due to the “reverse reservoir effect. ” The total heat flux across the condensate film is found to decrease with the absolute value of the condensation constant. When the solid substrate is tilted, the film dynamics exhibits the formation of multidrop structures and their coarsening along with the stages typical for the horizontal case. The increase of the tilt .
Analysis of Innovation Adoption Challenges and Opportunities Surrounding Clinical Decision Support Systems (CDSS) in India

Background: Clinical Decision Support Systems (CDSS) are rapidly altering the face of healthcare and its potential to improve patient outcomes has been exploited, in some countries. This study aims to explore the current landscape of the Indian healthcare sector to identify the favourability of current practises, organisational and infrastructural readiness, attitudes and concerns of the stakeholders concerning the implementation of CDSS. Methods: The methodology that this study used was carrying out structured interviews comprising of 16 close-ended questions, split into three sub-categories. There was a total of 61 interviews were conducted with medical and administrative staff in public and privately run facilities, present in Tier 1 and Tier 2 cities in India. The study will focus on hospitals in Tier 1 cities as these are in a position to bring technological transformation. Results: The results identified various trends and patterns that would likely govern the incorporation of CDSS. A large proportion of the experts answered in positive for the current level of digitalisation of their workplace and availability of funds for future innovation, indicating high favourability for CDSS. Various roadblocks were isolated with respect to stakeholder attitudes, standardisation of care and general knowledge about CDSS and that in two cities, private owned facilities were better equipped than state-run facilities. Conclusions: There has been many recent initiatives in India to promote digital health. Performing a CDSS cost-effectiveness study will demonstrate the benefits of using CDSS in the country to overcome any adoption hesitancies. Keywords: CDSS, India, Healthcare, Artificial intelligence, Tier 1, Tier 2
A Graph Embedding Approach for Deciphering the Longitudinal Associations of Global Mobility and COVID-19 Cases

The COVID-19 pandemic has highlighted the importance of monitoring mobility patterns and their impact on disease spread. This paper presents a methodology for developing effective pandemic surveillance systems by extracting scal- able graph features from mobility networks. We utilized Travel Patterns dataset to capture the daily number of individuals traveling between countries from March 2020 to April 2022. We have used an optimized node2vec algorithm to extract scalable features from the mobility networks. Our analysis revealed that movement embeddings accurately represented the movement patterns of countries, with geographically proximate countries exhibiting similar movement patterns. The temporal association dynamics between Global mobility and COVID-19 cases highlighted the significance of high-page rank centrality countries in mobility networks as a key intervention target in control- ling infection spread. Our proposed methodology provides a useful approach for tracking the trajectory of infectious diseases and developing evidence-based interventions.
A rare case of inflammatory breast cancer with delayed auto-amputation in modern times

Abstract Inflammatory breast cancer (IBC) is a rare but aggressive form of breast cancer, accounting for 0.5–2% of all diagnoses of invasive breast cancers. Yet, it is associated with very poor prognosis and outcomes, with documented 2- and 5-year survival rates around 84% and 40%, respectively, as compared to 90.6% of all breast cancers. Breast auto-amputation is also a rare complication of locally advanced breast cancer, associated with distressing symptoms for these patients. In this study, we report a 67-year-old female with a delayed diagnosis of IBC with a rare sequela of auto-amputation of the affected breast. The delay in diagnosis of >6 months led to a delay in the necessary treatment. She received neoadjuvant chemoradiotherapy and underwent a palliative right salvage mastectomy with level 2 axillary dissection.
Multiplatform Untargeted Metabolomics.

Metabolomics samples like human urine or serum contain upwards of a few thousand metabolites, but individual analytical techniques can only characterize a few hundred metabolites at best. The uncertainty in metabolite identification commonly encountered in untargeted metabolomics adds to this low coverage problem. A multiplatform (multiple analytical techniques) approach can improve upon the number of metabolites reliably detected and correctly assigned. This can be further improved by applying synergistic sample preparation along with the use of combinatorial or sequential non-destructive and destructive techniques. Similarly, peak detection and metabolite identification strategies that employ multiple probabilistic approaches have led to better annotation decisions. Applying these techniques also addresses the issues of reproducibility found in single platform methods. Nevertheless, the analysis of large data sets from disparate analytical techniques presents unique challenges. While the general data processing workflow is similar across multiple platforms, many software packages are only fully capable of processing data types from a single analytical instrument. Traditional statistical methods such as principal component analysis were not designed to handle multiple, distinct data sets. Instead, multivariate analysis requires multiblock or other model types for understanding the contribution from multiple instruments. This review summarizes the advantages, limitations, and recent achievements of a multiplatform approach to untargeted metabolomics.
MMR markers correlate with clinical outcome in patients with esophageal squamous cell carcinoma

Background The DNA mismatch repair system is one of the defense mechanisms in the body, and the inactivation of mismatch repair plays a pivotal role in secondary carcinogenesis and progression. However, the significance of mismatch repair in esophageal squamous cell carcinoma (ESCC) has not been established. In this study, we explored the diagnostic and prognostic significance of mismatch repair markers, mutL homologue 1 (MLH1), post-meiotic segregation increased 2 (PMS2), mutS homologue 2 (MSH2), and mutS homologue 6 (MSH6), in patients with ESCC. Methods We used a notation based on the proportion of immunoreactivity/expression for immunohistochemistry (PRIME notation), which allows the comparison of mismatch repair expression by assigning a score to PRIME notation. MLH1, PMS2, MSH2, and MSH6 were examined immunohistochemically in 189 surgically resected ESCC specimens. Results A total of 100/189 patients with ESCC (53%) received preoperative chemotherapy. The rates of ESCC cases with decreased mismatch repair status were 13.2%, 15.3%, 24.8%, and 12.6% for MLH1, PMS2, MSH2, and MSH6, respectively. The decreased status of individual mismatch repair markers was significantly correlated with worse prognosis in patients with ESCC. Additionally, MSH2, MSH6, and PMS2 were significantly associated with response to preoperative chemotherapy. Multivariate analysis revealed that MLH1, PMS2, and MSH2 are independent prognostic factors. Conclusion Our results suggest that mismatch repair is a prognostic biomarker for ESCC and could contribute to the selection of appropriate adjuvant therapy for patients with ESCC.
Early identification of chronic kidney disease: it is time to enhance patient and population-based informatics tools for general practitioners

Abstract Chronic kidney disease (CKD) is a global public health issue that can lead to several complications such as, kidney failure, cerebro/cardiovascular disease, and death. There is a well-documented “awareness gap” among general practitioners (GPs) to recognize CKD. As shown by estimates stemming from the Health Search Database (HSD) of the Italian College of General Practitioners and Primary Care (SIMG), no substantial changes were observed in terms of the incident rate of CKD over the last 10 years. Namely, 10.3–9.5 per 1000 new cases of CKD were estimated in 2012 and 2021, respectively. Thus, strategies to reduce under-recognized cases are needed. Early identification of CKD might improve patient’s quality of life and clinical outcomes. In this context, patient- and population-based informatic tools may support both opportunistic and systematic screening of patients at greater risk of CKD. As such, the new effective pharmacotherapies for CKD would be proficiently administered. To this aim, these two complimentary tools have been developed and will be further implemented by GPs. The effectiveness of these instruments in identifying the condition at an early stage and reducing the burden of CKD on the national health system needs to be verified according to the new regulations on medical device (MDR: (EU) 2017/745).
Immunogenetics of HLA‐B: SNP, allele, and haplotype diversity in populations from different continents and ancestry backgrounds

HLA‐B is among the most variable gene in the human genome. This gene encodes a key molecule for antigen presentation to CD8+ T lymphocytes and NK cell modulation. Despite the myriad of studies evaluating its coding region (with an emphasis on exons 2 and 3), few studies evaluated introns and regulatory sequences in real population samples. Thus, HLA‐B variability is probably underestimated. We applied a bioinformatics pipeline tailored for HLA genes on 5347 samples from 80 different populations, which includes more than 1000 admixed Brazilians, to evaluate the HLA‐B variability (SNPs, indels, MNPs, alleles, and haplotypes) in exons, introns, and regulatory regions. We observed 610 variable sites throughout HLA‐B; the most frequent variants are shared worldwide. However, the haplotype distribution is geographically structured. We detected 920 full‐length haplotypes (exons, introns, and untranslated regions) encoding 239 different protein sequences. HLA‐B gene diversity is higher in admixed populations and Europeans while lower in African ancestry individuals. Each HLA‐B allele group is associated with specific promoter sequences. This HLA‐B variation resource may improve HLA imputation accuracy and disease‐association studies and provide evolutionary insights regarding HLA‐B genetic diversity in human populations.
Extracellular vesicles in tumor angiogenesis and resistance to anti‐angiogenic therapy

Tumor angiogenesis plays an important role in the development of cancer as it allows the delivery of oxygen, nutrients, and growth factors as well as tumor dissemination to distant organs. Although anti‐angiogenic therapy (AAT) has been approved for treating various advanced cancers, this potential strategy has limited efficacy due to resistance over time. Therefore, there is a critical need to understand how resistance develops. Extracellular vesicles (EVs) are nano‐sized membrane‐bound phospholipid vesicles produced by cells. A growing body of evidence suggests that tumor cell‐derived EVs (T‐EVs) directly transfer their cargoes to endothelial cells (ECs) to promote tumor angiogenesis. Importantly, recent studies have reported that T‐EVs may play a major role in the development of resistance to AAT. Moreover, studies have demonstrated the role of EVs from non‐tumor cells in angiogenesis, although the mechanisms involved are still not completely understood. In this review, we provide a comprehensive description of the role of EVs derived from various cells, including tumor cells and non‐tumor cells, in tumor angiogenesis. Moreover, from the perspective of EVs, this review summarized the role of EVs in the resistance to AAT and the mechanisms involved. Due to their role in the resistance of AAT, we here proposed potential strategies to further improve the efficacy of AAT by inhibiting T‐EVs.
The Influence of Atmospheric Stability on Potential Evaporation

Abstract The Penman relationship for potential evaporation is modified to simply include the influence of atmospheric stability on turbulent transport of water vapor. Explicit expressions for the stability-dependent, surface exchange coefficient developed by Louis are used. The diurnal variation of potential evaporation is computed for the stability-dependent and original Penman relationships using Wangara data. The influence of afternoon instability increases the aerodynamic term of the modified Penman relationship by 50% or more on days with moderate instability. However, the unmodified Penman relationship predicts values of daily potential evaporation close to that of the stability-dependent relationship. This agreement is partly due to compensating overestimation during nighttime hours. Errors due to use of daily-averaged variables are examined in detail by evaluating the nonlinear interactions between the diurnal variation of the variables in the Penman relationship. A simpler method for estimating t.
Autophagy and cancer: Basic mechanisms and inhibitor development

Autophagy is a lysosomal degradation system of cytoplasmic components that contributes to cellular homeostasis through the turnover of various biomolecules and organelles, often in a selective manner. Autophagy is closely related to cancer, but its roles in cancer are complicated. It works as either a promoter or suppressor, depending on the stage and type of cancer. In this review, we briefly summarize the basic mechanisms of autophagy and describe the complicated roles of autophagy in cancer. Moreover, we summarize the clinical trials of autophagy inhibitors targeting cancer and the development of more specific autophagy inhibitors for future clinical application.
Volume and Interface Studies of Complex Liquid Media

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Bismuth, esomeprazole, metronidazole, and minocycline or tetracycline as a first-line regimen for Helicobacter pylori eradication: A randomized controlled trial

Abstract Background: Given the general unavailability, common adverse effects, and complicated administration of tetracycline, the clinical application of classic bismuth quadruple therapy (BQT) is greatly limited. Whether minocycline can replace tetracycline for Helicobacter pylori (H. pylori) eradication is unknown. We aimed to compare the eradication rate, safety, and compliance between minocycline- and tetracycline-containing BQT as first-line regimens. Methods: This randomized controlled trial was conducted on 434 naïve patients with H. pylori infection. The participants were randomly assigned to 14-day minocycline-containing BQT group (bismuth potassium citrate 110 mg q.i.d., esomeprazole 20 mg b.i.d., metronidazole 400 mg q.i.d., and minocycline 100 mg b.i.d.) and tetracycline-containing BQT group (bismuth potassium citrate/esomeprazole/metronidazole with doses same as above and tetracycline 500 mg q.i.d.). Safety and compliance were assessed within 3 days after eradication. Urea breath test was performed at 4–8 weeks after eradication to evaluate outcome. We used a noninferiority test to compare the eradication rates of the two groups. The intergroup differences were evaluated using Pearson chi-squared or Fisher's exact test for categorical variables and Student's t-test for continuous variables. Results: As for the eradication rates of minocycline- and tetracycline-containing BQT, the results of both intention-to-treat (ITT) and per-protocol (PP) analyses showed that the difference rate of lower limit of 95% confidence interval (CI) was >-10.0% (ITT analysis: 181/217 [83.4%] vs. 180/217 [82.9%], with a rate difference of 0.5% [-6.9% to 7.9%]; PP analysis: 177/193 [91.7%] vs. 176/191 [92.1%], with a rate difference of -0.4% [-5.6% to 6.4%]). Except for dizziness more common (35/215 [16.3%] vs. 13/214 [6.1%], P = 0.001) in minocycline-containing therapy groups, the incidences of adverse events (75/215 [34.9%] vs. 88/214 [41.1%]) and compliance (195/215 [90.7%] vs. 192/214 [89.7%]) were similar between the two groups. Conclusion: The eradication efficacy of minocycline-containing BQT was noninferior to tetracycline-containing BQT as first-line regimen for H. pylori eradication with similar safety and compliance. Trial registration: ClinicalTrials.gov, ChiCTR 1900023646.
Comparative anti-Diabetic potential of phytocompounds from Dr. Duke's phytochemical and ethnobotanical database and standard antidiabetic drugs against diabetes hyperglycemic target proteins: an in silico validation

Abstract In the current investigation, the antidiabetic potential of 40 phytocompounds from Dr. Dukes phytochemical and ethanobotanical database and three antidiabetic pharmaceuticals from the market comparatively validated against hyperglycemic target proteins. Silymarin, proanthocyanidins, merremoside, rutin, mangiferin-7-O-beta-glucoside, and gymnemic acid exhibited good binding affinity toward protein targets of diabetes among the 40 phytocompounds from Dr.Dukes database over three chosen antidiabetic pharmaceutical compounds. Further these phytocompounds and sitagliptin are validated for its ADMET and bioactivity score to screen its pharmacological and pharmacokinetics properties. Silymarin, proanthocyanidins, rutin along with sitagliptin screened for DFT analysis found that phytocompounds have great Homo–Lumo orbital energies over commercial pharmaceutical sitagliptin. Finally, four complexes of alpha amylase-silymarin, alpha amylase-sitagliptin, aldose reductase-proanthocyanidins, and aldose reductase-sitagliptin screened for MD simulation and MMGBSA analysis, results shown that the phytocompounds silymarin and proanthocyanidins have strong affinities for binding to the binding pockets of alpha amylase and aldose reductase respectively over antidiabetic pharmaceuticals. Our current study proven proanthocyanidins and silymarin act as novel antidiabetic compounds toward diabetic target protein but it require clinical trial to evaluate its clinical pertinence toward diabetic target proteins. Communicated by Ramaswamy Sarma
A Network Analysis of Cardiovascular Risk Factors in Patients With Heart Disease: The Role of Socioeconomic Status and Sex

ABSTRACT Objective Diverse risk factors influence the development and prognosis of coronary heart disease (CHD) independently and mutually. Low socioeconomic status (SES) seems to exacerbate these risk factors’ influences. In addition, sex differences have been identified for individual risk factors. Network analysis could provide in-depth insight into the interrelatedness of the risk factors, their predictability, and the moderating role of sex, to ultimately contribute to more refinement in prevention and cardiac rehabilitation. Methods A total of 1682 participants (78% male; mean [standard deviation] age = 69.2 [10.6] years) with CHD completed questionnaires on psychosocial factors and health behaviors. Cardiometabolic data were retrieved through medical records. An SES index was created based on self-reported occupation, education, and area (i.e., postal code)-based median family income. Using R, we conducted a mixed graphical model network analysis on all risk factors combined with and without the moderating role of sex. Results SES belonged to the more influential risk factors with moderate to high levels of expected influence and degree centrality, indicating that it plays a considerable role in the risk factor network. When considering the moderating role of sex, relationships between SES and most risk factors were found to be stronger for women (b = 0.06–0.48). Conclusions The current study provided an insight into an interrelated network of psychosocial and medical risk factors among CHD patients. With SES belonging to the more influential risk factors and female sex influencing the strength of all the SES–risk factor relationships, cardiac rehabilitation and prevention techniques could be more refined by accounting for both influences.