Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of the oval hole on rock mechanical mechanism under uniaxial and biaxial compression: insights from the combined finite-discrete element method

Abstract To investigate the effects of the oval hole on the strength and the failure mechanisms of rock materials, a series of uniaxial and biaxial compression numerical simulations were carried out using the combined finite-discrete element method (FDEM). Based on the numerical simulation results, the effects of dip angle (β), major–minor ratio (ω) and position of the oval hole on rock strength characteristics crack initiation and development process and final failure modes were analysed in detail. The numerical simulation results indicate that: (1) Under uniaxial compression, the ultimate failure modes of rock containing oval holes can be mainly classified into single inclined plane shear failure, X-shaped tensile-shear composite failure and Y-shaped tensile-shear composite failure. Under biaxial compression, the ultimate failure mode is single-inclined plane shear failure dominated by shear cracks. Whether it is uniaxial compression or biaxial compression, the crack initiation position of the main fracture surface is near the end of the major axis of the oval hole. (2) Under uniaxial compression, the axial stress–strain curve of rock containing the oval hole is smooth before and after the peak, but under biaxial compression, there is obvious fluctuation in the post-peak stage due to crack initiation and propagation. In both uniaxial and biaxial compression, the pre-peak elastic stage of the axial stress–strain curve of the rock containing the oval hole is significantly shortened and the peak stress is significantly reduced compared with the intact rock, which indicates that the bearing capacity of the rock is seriously reduced by the existence of oval hole. (3) When the position and major–minor axis ratio of the oval hole remain unchanged, the uniaxial compressive strength and biaxial compressive strength increase with the increase of the dip angle of the oval hole. When the position and dip angle of the oval hole remain unchanged, the uniaxial compressive strength and biaxial compressive strength decrease with the increase of the major–minor axis ratio of the oval hole. (4) At different dip angles, the brittleness index Bi of rock containing oval holes decreases with the increase of confining pressure, and the brittleness degree shows a gradual weakening trend. At the same time, when the dip angle increases, the decreasing amplitude of brittleness index Bi decreases with the increase of confining pressure. Highlights Three types of failure modes of rock with elliptical hole are systematically summarised, and the failure mechanisms of elliptical hole rock are revealed. The influence of different positions, major–minor axis ratio, and dip angle of rock containing oval holes on uniaxial compression and biaxial compression are studied. The relationship between brittleness index and failure mode of rock containing the oval hole is investigated.
Circulating Small EVs miRNAs as Predictors of Pathological Response to Neo-Adjuvant Therapy in Breast Cancer Patients

Neo-adjuvant therapy (NAT) is increasingly used in the clinic for the treatment of breast cancer (BC). Pathological response to NAT has been associated with improved patients’ survival; however, the current techniques employed for assessing the tumor response have significant limitations. Small EVs (sEVs)-encapsulated miRNAs have emerged as promising new biomarkers for diagnosis and prediction. Therefore, our study aims to explore the predictive value of these miRNAs for the pathological response to NAT in BC. By employing bioinformatic tools, we selected a set of miRNAs and evaluated their expression in plasma sEVs and BC biopsies. Twelve miRNAs were identified in sEVs, of which, miR-21-5p, 221-3p, 146a-5p and 26a-5p were significantly associated with the Miller–Payne (MP) pathological response to NAT. Moreover, miR-21-5p, 146a-5p, 26a-5p and miR-24-3p were independent as predictors of MP response to NAT. However, the expression of these miRNAs showed no correlation between sEVs and tissue samples, indicating that the mechanisms of miRNA sorting into sEVs still needs to be elucidated. Functional analysis of miRNA target genes and drug interactions revealed that candidate miRNAs and their targets, can be regulated by different NAT regimens. This evidence supports their role in governing the patients’ therapy response and highlights their potential use as prediction biomarkers.
A cell-centered ICE method for multiphase flow simulations

The Implicit Continuous-fluid Eulerian (ICE) method is a finite-volume scheme that is stable for any value of the Courant number based on the sound speed. In the incompressible limit, the ICE method becomes essentially identical to the Marker and Cell (MAC) method, so the two schemes are closely related. In this article, the classical ICE method is extended to multiple interpenetrating phases, and employed with a single control volume (nonstaggered) mesh framework. The incompressible limit is preserved, so that problems involving equations of state, or those exhibiting constant material densities, can be addressed with the same computer code. The scheme reduces properly to a single-fluid method, enabling benchmarking using well-known test cases. Thus, the numerical issues focus only on those aspects unique to problems having multiple density, velocity and temperature fields. The discussion begins with a derivation of the exact, ensemble-averaged equations. Examples of the most basic closures axe given, and the well-posedness of the equations is demonstrated. The numerical method is described in operator notation, and the discretization is sketched. The flow patterns in a bubble column are computed as an incompressible flow example. For a compressible flow example, the expansion and compression of a bubble formed by high-explosive gases under water is shown. In each case, comparison to experimental data is made.
XAI for Churn Prediction in B2B Models: A Use Case in an Enterprise Software Company

The literature related to Artificial Intelligence (AI) models and customer churn prediction is extensive and rich in Business to Customer (B2C) environments; however, research in Business to Business (B2B) environments is not sufficiently addressed. Customer churn in the business environment and more so in a B2B context is critical, as the impact on turnover is generally greater than in B2C environments. On the other hand, the data used in the context of this paper point to the importance of the relationship between customer and brand through the Contact Center. Therefore, the recency, frequency, importance and duration (RFID) model used to obtain the customer’s assessment from the point of view of their interactions with the Contact Center is a novelty and an additional source of information to traditional models based on purchase transactions, recency, frequency, and monetary (RFM). The objective of this work consists of the design of a methodological process that contributes to analyzing the explainability of AI algorithm predictions, Explainable Artificial Intelligence (XAI), for which we analyze the binary target variable abandonment in a B2B environment, considering the relationships that the partner (customer) has with the Contact Center, and focusing on a business software distribution company. The model can be generalized to any environment in which classification or regression algorithms are required.
Restriction of Flaviviruses by an Interferon-Stimulated Gene SHFL/C19orf66

Flaviviruses (the genus Flavivirus of the Flaviviridae family) include many arthropod-borne viruses, often causing life-threatening diseases in humans, such as hemorrhaging and encephalitis. Although the flaviviruses have a significant clinical impact, it has become apparent that flavivirus replication is restricted by cellular factors induced by the interferon (IFN) response, which are called IFN-stimulated genes (ISGs). SHFL (shiftless antiviral inhibitor of ribosomal frameshifting) is a novel ISG that inhibits dengue virus (DENV), West Nile virus (WNV), Zika virus (ZIKV), and Japanese encephalitis virus (JEV) infections. Interestingly, SHFL functions as a broad-spectrum antiviral factor exhibiting suppressive activity against various types of RNA and DNA viruses. In this review, we summarize the current understanding of the molecular mechanisms by which SHFL inhibits flavivirus infection and discuss the molecular basis of the inhibitory mechanism using a predicted tertiary structure of SHFL generated by the program AlphaFold2.
Management of Obese Type 1 Diabetes Mellitus (Double Diabetes) Through Telemedicine During COVID-19 Pandemic Lockdown: A Case Report

Metabolic syndrome in Type 1 diabetes mellitus (T1DM) has been shown to be an independent risk factor for macro-vascular and micro-vascular complications. Obesity also affects many people with T1DM across their lifetime with an increasing prevalence in recent decades. Individuals with T1DM who are overweight, have a family history of type 2 diabetes, and/or have clinical features of insulin resistance, are known as "double diabetes". It is challenging for a person with double diabetes to achieve reasonable glycemic control, avoid insulin-related weight gain, and prevent hypoglycaemia. This was especially true during the coronavirus disease 2019 (COVID-19) pandemic lockdown. The aim of this report is to show that lifestyle modification through telemedicine can immensely help in managing uncontrolled T1DM with associated morbid obesity in lockdown situations, with the help of the diabetes educator. In this case, the complicated history of double diabetes was taken through telephonic and online consultations with the help of a nutritionist and diabetes educator, and the treating clinician supervised the insulin doses and frequency. Patient Health Questionnaire (PHQ)-9 questionnaire was used to assess depression. Medical nutrition therapy (MNT) was given through online consultations, where the patient was reoriented to carbohydrate counting, insulin dose adjustment, along with modifications in the diet. Regular exercise was advised along with frequent self-monitoring of blood glucose (SMBG). Moreover, the diet order was changed to eat protein and fibre first, followed by carbohydrates, later. The three-tier system of the medical expert, clinical dietitian, and diabetes educator was applied. The subject was trained for carbohydrate counting and insulin dose adjustment by teaching her about the insulin-to-carb ratio and insulin sensitivity factor (ISF). She was asked to examine her insulin injection sites by visual and palpatory methods for lipohypertrophy. Once a week, the diabetes educator and nutritionist did telephonic follow-up and counselling, while online consultation was done by the treating clinician once a month. As a result, her weight, BMI, and waist circumference were reduced drastically, and there was an improvement in haemoglobin A1C (HbA1C), lipid parameters, and blood pressure after the intervention. Thus, implementing diabetes education via telemedicine in circumstances such as the COVID-19 pandemic can help achieve the best possible compliance for strict diet adherence, regular exercise and monitoring, reducing obesity, glycosylated HbA1c, insulin doses, and risk of depression in a person with double diabetes.
Manajemen Perawatan Mesin Genset Gedung Plaza Mandiri Menggunakan Metode Realibility Centered Maintenance dan Maintenance Value Stream Map

To find out the right action for the maintenance of the generator engine components at the Plaza Mandiri Building, to reduce activities that do not add value to the maintenance process on the generator engine, and to find out and analyze the significance of the influence of the RCM (Realibility Centered Maintenance) and MVSM (Reliability Centered Maintenance) methods. The Maintenance Value Stream Map method) on the maintenance management of the Plaza Mandiri Building generator engine. The research method used is the RCM (Reliability Centered Maintenance) and MVSM (Maintenance Value Stream Map Method). The data used are primary data and secondary data sourced from PT. Exim Bank Building. There are activities that do not add value to the maintenance process on the generator engine. Non-value added activities that do not add value to the maintenance process on the generator engine are oil filter replacement 95 minutes, oil filter cleaning 62 minutes, fan belting replacement 89 minutes, air filter replacement 98 minutes, air filter cleaning 72 minutes, diesel filter replacement 93 Minutes, diesel filter cleaning 67 Minutes, radiator air filter replacement 85 Minutes, radiator air filter cleaning 59 Minutes, dynamo starter replacement 97 Minutes, generator battery replacement 83 Minutes, fuse replacement 83 Minutes, oil tank cleaning 107 Minutes. RCM and MVSM can solve problems in the maintenance management of the generator set at the Plaza Mandiri Building by producing a generator engine maintenance schedule which is divided into two, namely, a component check schedule and a component replacement schedule.
Prolonged Suppression of Neuropathic Hypersensitivity upon Neurostimulation of the Posterior Insula in Mice

Neurostimulation-based therapeutic approaches are emerging as alternatives to pharmacological drugs, but need further development to optimize efficacy and reduce variability. Despite its key relevance to pain, the insular cortex has not been explored in cortical neurostimulation approaches. Here, we developed an approach to perform repetitive transcranial direct current stimulation of the posterior insula (PI tDCS) and studied its impact on sensory and aversive components of neuropathic pain and pain-related anxiety and the underlying neural circuitry in mice using behavioral methods, pharmacological interventions and the expression of the activity-induced gene product, Fos. We observed that repetitive PI tDCS strongly attenuates the development of neuropathic mechanical allodynia and also reverses chronically established mechanical and cold allodynia for several weeks post-treatment by employing descending opioidergic antinociceptive pathways. Pain-related anxiety, but not pain-related aversion, were inhibited by PI tDCS. These effects were associated with a long-term suppression in the activity of key areas involved in pain modulation, such as the cingulate, prefrontal and motor cortices. These data uncover the significant potential of targeting the insular cortex with the objective of pain relief and open the way for more detailed mechanistic analyses that will contribute to improving cortical neurostimulation therapies for use in the clinical management of pain.
Advances in Noninvasive Carotid Wall Imaging with Ultrasound: A Narrative Review

Carotid atherosclerosis is a major cause for stroke, with significant associated disease burden morbidity and mortality in Western societies. Diagnosis, grading and follow-up of carotid atherosclerotic disease relies on imaging, specifically ultrasound (US) as the initial modality of choice. Traditionally, the degree of carotid lumen stenosis was considered the sole risk factor to predict brain ischemia. However, modern research has shown that a variety of other imaging biomarkers, such as plaque echogenicity, surface morphology, intraplaque neovascularization and vasa vasorum contribute to the risk for rupture of carotid atheromas with subsequent cerebrovascular events. Furthermore, the majority of embolic strokes of undetermined origin are probably arteriogenic and are associated with nonstenosing atheromas. Therefore, a state-of-the-art US scan of the carotid arteries should take advantage of recent technical developments and should provide detailed information about potential thrombogenic (/) and emboligenic arterial wall features. This manuscript reviews recent advances in ultrasonographic assessment of vulnerable carotid atherosclerotic plaques and highlights the fields of future development in multiparametric arterial wall imaging, in an attempt to convey the most important take-home messages for clinicians performing carotid ultrasound.
Geometric attitude estimation & orbit modelling

Most satellites are equipped with a gyroscope, allowing it to be used in dynamics replacement mode for attitude estimation. However, gyroscopes have been known to fail and not all satellites, such as STRaND-1, have a gyroscope. With gyroless attitude estimation requiring computationally expensive numerical integration for state prediction, efficient and accurate integration techniques need to be employed. Of the numerical methods available for integrating the differential equations of rigid body motion, the state of the art in geometric rigid body integration provides the most computationally efficient methods—such as the preprocessed Discrete Moser-Veselov algorithm—while preserving much, if not all, of the geometric structure of the underlying system. The research presented in this thesis analyses and improves upon previously proposed geometric attitude estimation algorithms, methods incorporating geometric integration such as the Geometric Multiplicative Extended Kalman Filter. Because the Geometric Multiplicative Extended Kalman Filter does not handle covariance prediction in a geometric fashion and is not robust against the realistic initial conditions that could be expected with a gyroless satellite, the Geometric Unscented Quaternion Estimator is proposed to overcome these limitations. Additionally, to meet a specific need of the STRaND-1 satellite mission, these geometric estimators are extended to include simultaneous estimation of the satellite moments of inertia; this includes the development of a methodology for creating proxy moment of inertia measurements that can be incorporated into the estimation algorithm. Extensive simulation testing based on the STRaND-1 mission parameters is performed for all of these estimators, alongside traditional gyroscope-based methods. This thesis also presents the Scaled Harmonic Form, a novel approach for deriving temporally stable analytical solutions to systems exhibiting perturbed harmonic motion. This is applied to the motion of the orbital plane of a satellite in a near-circular orbit about an oblate planet.
Emergence of a Novel Lineage and Wide Spread of a blaCTX-M-15/IncHI2/ST1 Plasmid among Nosocomial Enterobacter in Guadeloupe

Between April 2018 and August 2019, a total of 135 strains of Enterobacter cloacae complex (ECC) were randomly collected at the University Hospital Center of Guadeloupe to investigate the structure and diversity of the local bacterial population. These nosocomial isolates were initially identified genetically by the hsp60 typing method, which revealed the clinical relevance of E. xiangfangensis (n = 69). Overall, 57/94 of the third cephalosporin-resistant strains were characterized as extended-spectrum-β-lactamase (ESBL) producers, and their whole-genome was sequenced using Illumina technology to determine the clonal relatedness and diffusion of resistance genes. We found limited genetic diversity among sequence types (STs). ST114 (n = 13), ST1503 (n = 9), ST53 (n = 5) and ST113 (n = 4), which belong to three different Enterobacter species, were the most prevalent among the 57 ESBL producers. The blaCTXM-15 gene was the most prevalent ESBL determinant (56/57) and was in most cases associated with IncHI2/ST1 plasmid replicon carriage (36/57). To fully characterize this predominant blaCTXM-15/IncHI2/ST1 plasmid, four isolates from different lineages were also sequenced using Oxford Nanopore sequencing technology to generate long-reads. Hybrid sequence analyses confirmed the circulation of a well-conserved plasmid among ECC members. In addition, the novel ST1503 and its associated species (ECC taxon 4) were analyzed, in view of its high prevalence in nosocomial infections. These genetic observations confirmed the overall incidence of nosocomial ESBL Enterobacteriaceae infections acquired in this hospital during the study period, which was clearly higher in Guadeloupe (1.59/1000 hospitalization days) than in mainland France (0.52/1,000 hospitalization days). This project revealed issues and future challenges for the management and surveillance of nosocomial and multidrug-resistant Enterobacter in the Caribbean.
Targeted Metabolome and Transcriptome Analyses Reveal the Pigmentation Mechanism of Hippophae (Sea Buckthorn) Fruit

The genus Hippophae (sea buckthorn) is widely cultivated and consumed in Asia and Europe. The fruit color is an important appearance and commercial trait for sea buckthorn, which is closely related to the biosynthesis and accumulation of various nutrients and pigments. The fruit colors of sea buckthorn are varied, which appear as yellow, orange, red, and brown. However, the nutrients and pigments forming different the fruit colors of sea buckthorn remain unclear. To investigate the mechanism of pigmentation of sea buckthorn fruit, integrative analyses of the transcriptome and targeted metabolome, including the carotenoids, flavonoids, and chlorophylls, were performed in five sea buckthorn varieties with different fruit colors. A total of 209 flavonoids and 41 carotenoids were identified in five sea buckthorn fruits of different colors. The types and contents of flavonoids and carotenoids in the five sea buckthorn fruits were significantly different. Interestingly, we only found a high content of chlorophyll (772.7 mg/kg) in the sea buckthorn fruit with a brown color. The quantities and relative proportions of the flavonoids, carotenoids, and chlorophyll led to the different colors of the sea buckthorn fruits. Using a weighted gene co-expression network analysis (WGCNA), the key genes related to the carotenoids and chlorophyll metabolism were identified. The high content of chlorophylls in the brown fruit was closely related to the downregulated expression of key genes in the chlorophyll degradation pathway, including SGR, SGRL, PPH, NYC1, and HCAR. Our results provide new insights into the roles of flavonoids, carotenoids, and chlorophylls in the formation of fruit color in sea buckthorn.
General theory for Rydberg states of atoms: The nonrelativistic case

We carry out a complete derivation on nonrelativistic energies of atomic Rydberg states, including finite nuclear mass corrections. Several missing terms are found and a discrepancy is confirmed in the works of Drachman [in Long Range Casimir Forces: Theory and Recent Experiments on Atomic Systems, edited by F. S. Levin and D. A. Micha (Plenum, New York, 1993)] and Drake [Adv. At. , Mol. , Opt. Phys. 31, 1 (1993)]. As a benchmark, we present a detailed tabulation of different energy levels.
Universal Taylor series on specific compact sets

Let $D$ be the open unit disc in the complex plane. We denote by $\mathbb{C}$ the set of complex numbers and consider any compact set $K$ which is disjoint from $D$ and which also has connected complement. Let $A(K)$ denote all the functions $f:K\to \mathbb{C} $ such that $f$ is continuous on $K$ and holomorphic in $K^o$. It is well known that there exist holomorphic functions $f$ on $D$ for which the partial sums $S_n(f)$, n=1,2,. of the Taylor series with center $0$ are dense in $A(K)$ for every $K$ satisfying the properties above. It is also known that the above result fails if we consider the weighted polynomials $2^nS_n(f)$, n=1,2,. instead of $S_n(f)$, n=1,2,. In the opposite direction, the main result of this work shows that there exist holomorphic functions $f$ on $D$ for which the sequence $2^nS_n(f)$, $n=1,2,. $ is dense in $A(K)$ for specific compact sets $K$. In this case the geometry of $K$ plays a crucial role. We also generalize these results on arbitrary simply connected domains.