Miracle-dz/UniFAR-FTUs huggingface dataset:
Beyond Chainmail: Computational Modeling of Discrete Interlocking Materials

We present a method for computational modeling, mechanical characterization, and macro-scale simulation of discrete interlocking materials (DIM)---3D-printed chainmail fabrics made of quasi-rigid interlocking elements. Unlike conventional elastic materials for which deformation and restoring force are directly coupled, the mechanics of DIM are governed by contacts between individual elements that give rise to anisotropic deformation constraints. To model the mechanical behavior of these materials, we propose a computational approach that builds on three key components. (a): we explore the space of feasible deformations using native-scale simulations at the per-element level. (b): based on this simulation data, we introduce the concept of strain-space boundaries to represent deformation limits for in- and out-of-plane deformations, and (c): we use the strain-space boundaries to drive an efficient macro-scale simulation model based on homogenized deformation constraints. We evaluate our method on a set of representative discrete interlocking materials and validate our findings against measurements on physical prototypes.
Run related probability function and their application to start-up demonstration tests

A start-up demonstration test is a mechanism that is usually used to determine the reliability of equipment, for example water pumps, car batteries and power generators. The simplest and oldest start-up demonstration tests are called CS (consecutive successes) which have been studied by Hahn and Gage (1983), Viveros and Balakrishnan (1993). At first Hahn and Gage (1983) discussed the start-up demonstration test. I was based on i.i. d (independently and identically distributed) binary outcomes with the specified number of consecutive successful start-ups. Oh (2016) studied CSNCF (consecutive successful, but not consecutive failures). In this paper, we investigated the CS and CSNCF models, also their applications to start-up demonstration tests. The numerical results showed that the expectations and variances of the total number of attempted start-ups until the acceptance of the unit are gradually increasing in all of the specified number of successes as the p (probability of a successful start-up in an single trial) decreases from 0.99 to 0.90. The difference between means of the CS mode and CSNCF model is small, but variances of the CS and CSNCF are big.
Significance of PPARA as a Treatment Target for Chronic Lymphocytic Leukemia

Peroxisome proliferator-activated receptor alpha (PPARA) has been suggested as a therapeutic target for chronic lymphocytic leukemia (CLL). However, the underlying molecular mechanism remains largely unclear. In this study, we analyzed DNA next-generation sequencing (NGS) data and clinical information from 86 CLL patients to identify gene markers related to treatment-free survival (TFS) length. We then constructed a genetic network that includes CLL promoters, treatment targets, and TFS-related marker genes. To assess the significance of PPARA within the network, we utilized degree centrality (DC) and pathway enrichment score (EScore). Clinical and NGS data revealed 10 TFS length-related gene markers, including RPS15, FOXO1, FBXW7, KMT2A, NOTCH1, GNA12, EGR2, GNA13, KDM6A, and ATM. Through literature data mining, 83 genes were identified as CLL upstream promoters and treatment targets. Among them, PPARA exhibited a stronger connection to CLL and TFS-related gene markers, as evidenced by its ranking at No. 13 based on DC, compared to most of the other promoters (>84%). Additionally, PPARA co-functions with 70 out of 92 in-network genes in various functional pathways/gene groups related to CLL pathology, such as regulation of cell adhesion, inflammation, reactive oxygen species, and cell differentiation. Based on our findings, PPARA is considered one of the critical genes within a large genetic network that influences the prognosis and TFS of CLL through multiple pathogenic pathways.
Hypopituitarism After Mild Traumatic Brain Injury: A Case Report

Hypopituitarism is characterized by an underactive pituitary gland and may result in growth hormone deficiency, hypothyroidism, testosterone deficiency, and/or adrenal insufficiency. Traumatic brain injury (TBI) exposure is a known risk factor for hypopituitarism. However, patients with hypopituitarism secondary to TBI exposure may go undiagnosed because the signs and symptoms of hypopituitarism can be subtle. This case report describes a 40-year-old male US military veteran who endorsed fatigue, sexual dysfunction, and weight gain several years after experiencing multiple mild TBIs during his military service. He ultimately underwent a full neuroendocrine workup that revealed low testosterone in addition to previously diagnosed hypothyroidism with a resolution of symptoms after starting testosterone therapy.
Ocean connectivity and habitat characteristics predict population genetic structure of seagrass in an extreme tropical setting

Abstract Understanding patterns of gene flow and processes driving genetic differentiation is important for a broad range of conservation practices. In marine organisms, genetic differentiation among populations is influenced by a range of spatial, oceanographic, and environmental factors that are attributed to the seascape. The relative influences of these factors may vary in different locations and can be measured using seascape genetic approaches. Here, we applied a seascape genetic approach to populations of the seagrass, Thalassia hemprichii, at a fine spatial scale (~80 km) in the Kimberley coast, western Australia, a complex seascape with strong, multidirectional currents greatly influenced by extreme tidal ranges (up to 11 m, the world's largest tropical tides). We incorporated genetic data from a panel of 16 microsatellite markers, overwater distance, oceanographic data derived from predicted passive dispersal on a 2 km‐resolution hydrodynamic model, and habitat characteristics from each meadow sampled. We detected significant spatial genetic structure and asymmetric gene flow, in which meadows 12–14 km apart were less connected than ones 30–50 km apart. This pattern was explained by oceanographic connectivity and differences in habitat characteristics, suggesting a combined scenario of dispersal limitation and facilitation by ocean current with local adaptation. Our findings add to the growing evidence for the key role of seascape attributes in driving spatial patterns of gene flow. Despite the potential for long‐distance dispersal, there was significant genetic structuring over small spatial scales implicating dispersal and recruitment bottlenecks and highlighting the importance of implementing local‐scale conservation and management measures.
The association between early fluid strategy and prognosis of acute respiratory distress syndrome: A post hoc study of CHARDS

Abstract We aimed to assess general fluid management in China and evaluate the association between fluid balance and survival outcomes in acute respiratory distress syndrome (ARDS) patients. A retrospective, multicenter study including ARDS patients was conducted. We described the fluid management of ARDS patients in China. Furthermore, clinical characteristics and outcomes of patients subdivided by cumulative fluid balance were also analyzed. Multivariable logistic regression analysis was performed with hospital mortality as the outcome. From June 2016 to February 2018, 527 ARDS patients were included in our study. The mean cumulative fluid balance was 1669 (−1101 to 4351) mL in the first 7 day after intensive care unit (ICU) admission. Patients were divided into four groups based on cumulative fluid balance of the first 7 day after ICU admission: Group I (≤0 L), Group II (>0 L, ≤3 L), Group III (>3 L, ≤5 L), and Group IV (>5 L). Significantly lower hospital mortality was observed in patients with a lower cumulative fluid balance on day 7 of ICU admission (20.5% in Group I vs. 32.8% in Group II, 38.5% in Group III, and 50% in Group IV, p < 0.001). A lower fluid balance is associated with lower hospital mortality in patients with ARDS. However, a large‐scale and well‐designed randomized controlled trial is needed in the future.
A rare case of rebleeding brainstem cavernoma in a 5-month-old-girl

Background: Brainstem cavernomas (BSCs) are relatively rare intracranial vascular lesions that, if left untreated, can be devastating to the patient. The lesions are associated with a myriad of symptoms, depending on their size and location. However, medullary lesions present acutely with cardiorespiratory dysfunction. We present the case of a 5-month-old child with a BSC. Case Description: A 5-month-old child presented for the 2nd time with sudden respiratory distress and excessive salivation. On the first presentation, brain magnetic resonance imaging (MRI) showed a 13 × 12 × 14 mm cavernoma at the pontomedullary junction. She was managed conservatively but presented 3 months later with tetraparesis, bulbar palsy, and severe respiratory distress. A repeat MRI showed enlargement of the cavernoma to 27 × 28 × 26 mm with hemorrhage in different stages. After hemodynamic stabilization, complete cavernoma resection was performed through the telovelar approach with neuromonitoring. Postoperatively, the child recovered motor function, but the bulbar syndrome persisted with hypersalivation. She was discharged on day 55 with a tracheostomy. Conclusion: BSCs are rare lesions that are associated with severe neurological deficits due to the compactness of important cranial nerve nuclei and other tracts in the brainstem. Early surgical excision and hematoma evacuation for superficially presenting lesions can be lifesaving. However, the risk of postoperative neurological deficits is still a major concern in these patients.
Perirenal Fat Thickness is Associated with Metabolic Dysfunction-Associated Fatty Liver Disease in Type 2 Diabetes Mellitus

Objective Recent advances in perirenal adipose tissue (PAT) highlighted that PAT might involve in the pathogenesis of chronic inflammatory and dysfunctional metabolic diseases. This study assessed the association between perirenal fat thickness (PrFT) and metabolic dysfunction-associated fatty liver disease (MALFD) in type 2 diabetes mellitus (T2DM). Methods This study comprised 867 eligible participants with T2DM. Trained reviewers collected anthropometric and biochemical measurements. The diagnosis of MAFLD was based on the latest international expert consensus statement. PrFT and fatty liver were evaluated by computed tomography. The visceral fat area (VFA) and subcutaneous fat area (SFA) were measured by bioelectrical impedance analysis. The non-alcoholic fatty liver disease fibrosis score (NFS) and fibrosis-4 (FIB-4) index were used to assess progressive liver fibrosis in MAFLD. Results Overall, the prevalence of MAFLD was 62.3% in T2DM. The PrFT in the MAFLD group was statistically increased than in the non-MAFLD group (P < 0.05). Correlation analysis showed that PrFT was significantly correlated with dysfunctional metabolic factors like body mass index, waist circumference, triglycerides, high-density lipoprotein cholesterol, systolic blood pressure, diastolic blood pressure, uric acid, and insulin resistance. Multiple regression analysis revealed that PrFT was positively correlated with NFS (β=0.146, P<0.001) and FIB-4 (β=0.082, P=0.025) in the MAFLD. In contrast, PrFT was negatively correlated with CTL-S (β=−0.188, P<0.001). Furthermore, PrFT was also significantly associated with MAFLD independent of VFA and SFA, the OR (95% CI) was 1.279 (1.191–1.374). Meanwhile, PrFT also had a good identifying value for MAFLD as VFA. The area under the curve (95% CI) value of PrFT identifying MAFLD was 0.782 (0.751–0.812). The optimal cut-off value of PrFT was 12.6mm, with a sensitivity of 77.8% and specificity of 70.8%. Conclusion PrFT was independently associated with MAFLD, NFS, and FIB-4 and showed a similar identifying value for MAFLD as VFA, which suggested that PrFT can be used as an alternative index to VFA.
Coupling of Exact Lagrange Multipliers with Various Analytical Techniques for Higher Order Initial Value Problems

Solutions of higher order differential equations are of great importance for scientists and mathematicians. In this work, we likewise calculate exact langrage multiplier and it progressively connects to the definite results of higher order initial value problems. This study witnesses the advantages of Exact Lagrange multipliers and their coupling with Variational Iteration Method and Homotopy Analysis Method (H-HAM). Work witnesses a new modification in Homotopy Analysis method. Computational work reflects that use of exact Lagrange multipliers reduces the computational work to a tangible level and also increase the level of accuracy. Moreover, exact Lagrange multiplier reduce the successive application of integral operator and are more user friendly.
An inventory control problem for deteriorating items with back-ordering and financial considerations under two levels of trade credit linked to order quantity

The paper deals with an inventory control problem for perishable items where two level credit periods depend on the order quantity over the finite time horizon. We assume that the supplier offers delay in payment on outstanding cost of purchasing goods to the retailer when purchasing amount is more than a fixed large amount. Moreover, the retailer offers a delay period to the customers for payment of their purchasing goods. In the inventory system, shortage is permitted and it is completely backordered.The net present value of the retailer's cost function, including costs of ordering, inventory holding, shortage, purchasing and other opportunities, is optimized. Then, an algorithm is proposed to determine the optimal values of order quantity, shortage quantity, number of cycles and the total cost of the system. Finally, a numerical example with sensitivity analysis of the key parameters is illustrated to show the applicability of the proposed model.
Highly Abundant Proteins Are Highly Thermostable

Abstract Highly abundant proteins tend to evolve slowly (a trend called E-R anticorrelation), and a number of hypotheses have been proposed to explain this phenomenon. The misfolding avoidance hypothesis attributes the E-R anticorrelation to the abundance-dependent toxic effects of protein misfolding. To avoid these toxic effects, protein sequences (particularly those of highly expressed proteins) would be under selection to fold properly. One prediction of the misfolding avoidance hypothesis is that highly abundant proteins should exhibit high thermostability (i.e., a highly negative free energy of folding, ΔG). Thus far, only a handful of analyses have tested for a relationship between protein abundance and thermostability, producing contradictory results. These analyses have been limited by 1) the scarcity of ΔG data, 2) the fact that these data have been obtained by different laboratories and under different experimental conditions, 3) the problems associated with using proteins’ melting energy (Tm) as a proxy for ΔG, and 4) the difficulty of controlling for potentially confounding variables. Here, we use computational methods to compare the free energy of folding of pairs of human–mouse orthologous proteins with different expression levels. Even though the effect size is limited, the most highly expressed ortholog is often the one with a more negative ΔG of folding, indicating that highly expressed proteins are often more thermostable.
Hollow Hydroxyapatite Microspheres Loaded with rhCXCL13 to Recruit BMSC for Osteogenesis and Synergetic Angiogenesis to Promote Bone Regeneration in Bone Defects

Introduction Bone tissue engineering is a promising method to treat bone defects. However, the current methods of preparing composite materials that mimic the complex structure and biological activity of natural bone are challenging for recruitment of bone marrow mesenchymal stem cells (BMSCs), which affects the application of these materials in situ bone regeneration. Hollow hydroxyapatite microspheres (HHMs) possess a natural porous bone structure, good adsorption, and slow release of chemokines, but have low ability to recruit BMSCs and induce osteogenesis. In this study, The HHM/chitosan (CS) and recombinant human C-X-C motif chemokine ligand 13 (rhCXCL13)-HHM/CS biomimetic scaffolds that optimize bone regeneration and investigated their mechanism of BMSC recruitment and osteogenesis through cell and animal experiments and transcriptomic sequencing. Methods Evaluate the physical characteristics of the HHM/CS and rhCXCL13-HHM/CS biomimetic scaffolds through Scanning Electron Microscopy (SEM), X-Ray Diffraction (XRD), and the cumulative release curve of rhCXCL13. Transwell migration experiments and co-culture with BMSCs were conducted to study the recruitment ability and osteogenic differentiation of the scaffolds. Transcriptomic sequencing was performed to analyze the osteogenic differentiation mechanism. The osteogenesis and bone healing performance were evaluated using a rabbit radial defect model. Results SEM demonstrated that the rhCXCL13-HHM/CS scaffold comprised hydroxyapatite microspheres in a porous three-dimensional network. The rhCXCL13 showed excellent sustained release capability. The rhCXCL13-HHM/CS scaffold could recruit BMSCs and induce bone regeneration. Transcriptome sequencing and experimental results showed that the osteogenesis mechanism of rhCXCL13-HHM/CS was through the PI3K-AKT pathway. In vivo, the rhCXCL13-HHM/CS scaffold significantly promoted osteogenesis and angiogenesis at 12 weeks after surgery. Conclusion The rhCXCL13-HHM/CS scaffold demonstrates excellent potential for BMSC recruitment, osteogenesis, vascularized tissue-engineered bone reconstruction, and drug delivery, providing a theoretical basis for material osteogenesis mechanism study and promising clinical applications for treating large bone defects.
Effects of Yoga therapy in teaching oral hygiene practice and tooth brushing skills in patients with Parkinson's disease: A qualitative study

BACKGROUND: Parkinson's disease is a chronic neurodegenerative disorder associated with heterogeneous symptoms. Though it is characterized by means of four distinct motor symptoms such as resting tremors, muscular rigidity, bradykinesia, and postural instability. These patients also have deficits in fine motor skills while performing simple tasks such as brushing their own teeth, taking bath, remembering small details, and writing skills. The study aimed to qualitatively evaluate the effectiveness of Yoga therapy in teaching oral hygiene practice and subsequently, on tooth brushing skills in patients who were diagnosed with Parkinson's disease. MATERIALS AND METHODS: This qualitative study was conducted on 100 patients diagnosed with Parkinson's disease. Institutional ethical committee permission was obtained prior to commencing the study. Written informed consent was obtained from patients or their caregivers before conducting this study. Detailed clinical history was recorded and gender characteristics were noted down. In the present study, there were 67 female and 33 male participants. Yoga exercises were taught to Parkinson's patients by a qualified yoga instructor. Improvements in toothbrushing skills were noted down by a single operator and oral hygiene status was analyzed using gingival index and plaque index on follow-up durations at 1, 2, 3, and 6 months. Yoga exercises comprised of warming up, stretching, yoga breathing exercises or pranayama, and/or relaxation process. Statistical analysis was performed by use of IBM SPSS Version 20.0. (IBM Corp., Armonk, NY) software designed for Windows. Intra-group comparison between categorical variables was done by statistical test-paired student ‘t-test’. RESULTS: On comparing plaque indices, the mean ± SD plaque index at 1st, 2nd, 3rd, and 6th months were 1.89 ± 0.02, 1.72 ± 0.01, 1.42 ± 0.12, and 0.56 ± 0.02, respectively. Mean ± SD gingival index scores at 1st month, 2nd month, 3rd month, and 6th-month durations, scores were 1.76 ± 0.06, 1.57 ± 0.12, 1.23 ± 0.02, and 0.76 ± 0.01, respectively. Statistical significance difference was noted on comparing the indices scores. CONCLUSION: Yoga practice has been shown to improve toothbrushing skills and oral hygiene in Parkinson's disease patients.
the Renext package user guide

The Renext package has been specified by IRSN. The main goal is to implement the statistical framework known as ”méthode du renouvellement”. This is similar to the Peaks Over Threshold (POT) method but the distribution of the excesses over the threshold is not restricted to GPD. Data Over Threshold can be completed by historical data. Some utility functions of the package are devoted to event analysis or to graphical analysis.
Physiology of pregnancy and oral local anesthesia considerations

Background Safe and effective local anesthesia is a prerequisite for emergency oral surgeries and most dental treatments. Pregnancy is characterized by complex physiological changes, and increased sensitivity to pain. Pregnant women are particularly vulnerable to oral diseases, such as caries, gingivitis, pyogenic granuloma and third molar pericoronitis. Maternally administered drugs can affect the fetus through the placenta. Therefore, many physicians and patients are reluctant to provide or accept necessary local anesthesia, which leads to delays in the condition and adverse consequences. This review is intended to comprehensively discuss the instructions for local anesthesia in the oral treatment of pregnant patients. Methodology An in-depth search on Medline, Embase, and the Cochrane Library was performed to review articles concerned with maternal and fetal physiology, local anesthetic pharmacology, and their applications for oral treatment. Results Standard oral local anesthesia is safe throughout the pregnancy. At present, 2% lidocaine with 1:200,000 epinephrine is considered to be the anesthetic agent that best balances safety and efficacy for pregnant women. Maternal and fetal considerations must be taken into account to accommodate the physiological and pharmacological changes in the gestation period. Semi-supine position, blood pressure monitoring, and reassurance are suggested for high-risk mothers to reduce the risk of transient changes in blood pressure, hypoxemia, and hypoglycemia. For patients with underlying diseases, such as eclampsia, hypertension, hypotension, and gestational diabetes, the physicians should use epinephrine cautiously and control the dose of anesthetic. New local anesthesia formulations and equipment, which contribute to minimizing injection pain and relieving the anxiety, have and are being developed but remain understudied. Conclusions Understanding the physiological and pharmacological changes during pregnancy is essential to ensure the safety and efficiency of local anesthesia. Optimal outcomes for the mother and fetus hinge on a robust understanding of the physiologic alterations and the appropriate selection of anesthetic drugs and approaches.
PELABELAN GRACEFUL SISI-GANJIL PADA GRAF WEB W(2,n)

Let G = ( V(G),E( 𝐺 ) ) be a graph with vertex set 𝑉(𝐺) and edge set 𝐸(𝐺). Assume that graph G have 𝑞 edge. Graceful edge-odd labeling is a bijective map 𝑓 ∶ 𝐸(𝐺) → {1, 3, 5,…,2𝑞 – 1} that resulting map 𝑓 + : 𝑉(𝐺) → {0,1,2,…,2𝑞 −1} with such as obtained different edge label. Graph G ia called Graceful edge-odd labeling if there is graceful edge-odd labeling on G. Let and are two cycle graph with vertex set and . Graph is obtained by conected every vertex from to such as we have edge Graph Web W(2,n) is a graph obtained by adding a pendant edge on each outer cycle vertex from graph . In this paper we will discussed about Graceful edge-odd labeling on Web (2,𝑛) graph and we have that Web W(2,𝑛) graph is graceful edge odd graph for n odd.