Miracle-dz/UniFAR-FTUs huggingface dataset:
solution of boundary-value problems

A new solver for nonlinear boundary-value problems (BVPs) in Matlab is presented, based on the Chebfun software system for representing functions and operators automatically as numerical objects. The solver implements Newton’s method in function space, where instead of the usual Jacobian matrices, the derivatives involved are Fr echet derivatives. A major novelty of this approach is the application of automatic dierentiation (AD) techniques to compute the operator-valued Fr echet derivatives in the continuous context. Other novelties include the use of anonymous functions and numbering of each variable to enable a recursive, delayed evaluation of derivatives with forward mode AD. The AD techniques are applied within a new Chebfun class called chebop which allows users to set up and solve nonlinear BVPs in a few lines of code, using the \nonlinear backslash" operator (n). This framework enables one to study the behaviour of Newton’s method in function space.
Human papillomavirus in oral squamous cell carcinoma using p16 and its co-relationship with cervical lymph node metastasis and clinicopathological parameters

Background: Due to the increasing prevalence of oral squamous cell carcinoma (OSCC) in Iran and especially in young people, this study aimed to identify human papillomavirus (HPV) using p16 in OSCC. Materials and Methods: In this descriptive-analytical cross-sectional study, 40 samples from the archives of the Pathology Department of Kashani Hospital were selected by a definitive diagnosis of OSCC with neck dissection. Demographic information including age, gender, location, and size of the lesion was obtained. Samples were divided into two groups based on lymph node (LN) metastasis. Immunohistochemical staining was performed for p16. Data were entered into SPSS 24 software and statistically analyzed by t-test, ANOVA, and Spearman nonparametric test. P <0.05 was statistically significant. Results: The mean age of patients was 59.7 ± 17.11 which in terms of age and gender there was no significant difference between the two groups including with and without cervical LN metastasis (P > 0.05). There was no significant difference between the two groups based on the grade of tumor, perninural invasion, tumor size and location (P > 0.05). The only significant difference between the two groups was based on lymphovascular invasion and disease stage (P < 0.05). The p16 expression also showed a significant difference between the two groups (P < 0.05). Conclusion: In OSCCs without cervical LN metastasis, a significant increase in p16 expression was observed compared to samples with cervical LNs metastasis. The presence of HPV was higher in samples with less LNs metastasis and possibly a better prognosis.
Cognitive Orientation to Daily Occupational Performance: A Randomized Controlled Trial Examining Intervention Effects on Children with Developmental Coordination Disorder Traits

Children with traits of developmental coordination disorder (DCD-t) may experience occupational performance problems that go unrecognized and therefore may not be adequately supported. The cognitive orientation to daily occupational performance (CO-OP) approach has been effective in interventions for developmental coordination disorder (DCD). Based on an open-label, randomized controlled trial design, this study evaluated the effects of CO-OP on the occupational performance and motor skills of older kindergarten children with DCD-t using the School Assessment of Motor and Process Skills (S-AMPS) and the Movement Assessment Battery for Children, Second Edition. Children with a total DCDQ score of less than 40 or M-ABC2 scores in the 5th to 16th percentile were considered to have DCD-t. Furthermore, children with DCD-t and S-AMPS process skills less than 0.7 were considered to have DAMP (Deficits in Attention, Motor control and Perception)-t. After 3 months of CO-OP intervention, the performance and motor skills of children with DCD-t improved significantly. However, there were no significant changes noted in the motor skills of children with DAMP-t, although their occupational performance improved. These results suggest that CO-OP is effective even for older kindergarten children with DCD-t. However, further improvement of the CO-OP approach or a different strategy is required for children with ADHD comorbidity.
Pathways, Networks and Therapy: A Boolean Approach to Systems Biology

Pathways, Networks and Therapy: A Boolean Approach to Syste ms Biology. (May 2012) Ritwik Kumar Layek, B.Tech., Indian Institute of Technolog y, Kharagpur; M.Tech., Indian Institute of Technology, Kharagpur Co–Chairs of Advisory Committee: Dr.Aniruddha Datta Dr. Edward R. Dougherty The area of systems biology evolved in an attempt to introduc e mathematical systems theory principles in biology. Although we believe t hat all biological processes are essentially chemical reactions, describing those usin g precise mathematical rules is not easy, primarily due to the complexity and enormity of biolog ical systems. Here we introduce a formal approach for modeling biological dynamical re lationships and diseases such as cancer. The immediate motivation behind this research is the urgency to find a practicable cure of cancer, the emperor of all maladies . Unlike other deadly endemic diseases such as plague, dengue and AIDS, cancer is characteristically he terogenic and hence requires a closer look into the genesis of the disease. The actual cause of cancer lies within our physiology. The process of cell division holds the clue to unrave l th mysteries surrounding this disease. In normal scenario, all control mechanisms wo rk in tandem and cell divides only when the division is required, for instance, to heal a wo und platelet derived growth factor triggers cell division. The control mechanism is tightly re gulated by several biochemical interactions commonly known as signal transducti on pathways. However, from mathematical point of view, these pathways are marginal in n ature and unable to cope with the multi-variability of a heterogenic disease like cancer . The present research is possibly one first attempt towards un raveling the mysteries surrounding the dynamics of a proliferating cell. A novel ye t simple methodology is developed to bring all the marginal knowledge of the signaling pathways together to form
Polymerization of Allyltrimethylisilane and 4-Methyl-1-Pentene by Using Metallocene Catalysts

Polymers of higher olefin, obtained by Ziegler-type polymerization, have been used in some critical fields, e.g., as the membrane for extracorporeal membrane oxygenation (ECMO), which plays an important role in the treatment of patients with severe COVID-19. The polymer obtained by a single-site catalyst, e.g., metallocene catalysts, demonstrated a higher performance. The homo- and co-polymerization of allyltrimethylisilane (ATMS) and 4-methyl-1-pentene (4M1P) were conducted using syndiospecific (cat 1) and isospecific (cat 2) metallocene catalysts. Cat 1 showed low conversions and provided a polymer with a higher molecular weight, while cat 2 behaved oppositely. 13C-NMR spectra certified the stereotacticity of the resultant polymer, and the resonance of the carbon atom of CH2 (αα’) between the two tertiary carbon atoms of the ATMS and 4M1P units were observed. This could be the evidence of the formation of a true copolymer. The crystallization of the polymer was explored using a differential scanning calorimeter (DSC) and wide angle X-ray diffraction (WAXD). All homopolymers and some of the copolymers showed high melting temperatures and low melting enthalpies. The WAXD patterns of the syndiotactic polymer and isotactic homopolymer or the ATMS-rich copolymer were consistent with the reported literature, but the isotactic 4M1P-rich copolymer provided the crystal form I, which is unusual for a 4M1P polymer without any pretreatment.
Stochastic model for the epitaxial growth of two-dimensional islands in the submonolayer regime

The diffusion-based growth of islands composed of clusters of metal atoms on a substrate is considered in the aggregation regime. A stochastic approach is proposed to describe the dynamics of island growth based on a Langevin equation with multiplicative noise. The distribution of island sizes, obtained as a solution of the corresponding Fokker–Planck equation, is derived. The time-dependence of island growth on its fractal dimension is analysed. The effect of mobility of the small islands on the growth of large islands is considered. Numerical simulations are in a good agreement with theoretical results.
Installation of integrated intellectual information security systems in open corporate networks – DDoS attack

Securing information security in open corporate networks is crucial, and building defense systems against potential threats is a critical step towards ensuring the availability, completeness, and confidentiality of system clients. Integrated information security systems play a pivotal role in safeguarding an organization's assets by identifying and mitigating security vulnerabilities. Therefore, it is essential to be aware of the various types of attacks that may be directed towards an information system and analyze them to prevent and mitigate the impact of such attacks. By taking proactive measures to protect against DDoS attacks and other types of cyber-attacks, organizations can minimize the risk of downtime, data breaches, and financial loss, ensuring the integrity, availability, and confidentiality of their systems and clients.
The effects of oxygen fugacity and sulfur on the pressure of vapor-saturation of mag

Geobarometers are commonly used to determine the pressure (and hence depth) of magmatic bodies. For instance, at equilibrium, the concentration of dissolved volatiles in a vapor-saturated melt can be used as a barometer: this is the pressure of vapor-saturation ( P v sat ). Most determinations of P v sat assume that melt and vapor contain only oxidized C-O-H species. However, sulfur is the third most abundant volatile element in magmas, and oxygen fugacity ( f O 2 ) exerts a strong influence on the speciation of the melt and vapor. To explore how S and f O 2 affect calculations of P v sat , we model a Hawaiian tholeiite that contains both reduced and oxidized C-O-H-S species in the melt and vapor. We find that excluding reduced C-O-H species in the system can result in significant underestimations of P v sat under reducing conditions (ΔFMQ < 0). The effect of S on P v sat is small except in the vicinity of the “sulfur solubility minimum” (SS min ; 0 < ΔFMQ < +2), where excluding S-bearing species can result in underestimates of P v sat . The implications of these results depend on the volatile concentration of the system being investigated, its f O 2 , and the melt composition and temperature. Our results suggest there will be little impact on P v sat calculated for mid-ocean ridge basalts because their f O 2 is above where reduced C-O-H species become important in the melt and vapor and yet below the SS min . However, the f O 2 of ocean island and arc basalts are close enough to the SS min and their S concentrations high enough to influence P v sat . However, high-CO 2 and high-H 2 O concentrations are predicted to reduce the effect of the SS min . Hence, P v sat calculated for shallowly trapped melt inclusions and matrix glass are more affected by the SS min than deeply trapped melt inclusions. Lunar and martian magmas are typically more reduced than terrestrial magmas, and therefore accurate P v sat calculations for them require the inclusion of reduced C-O-H species.
Rapid anticancer drug screening using patient-derived lung cancer organoids: a case report

A variety of anticancer drugs and targeted agents for lung cancer have been developed, but some patients do not respond to these medications as intended. Therefore, there is an urgent need to develop a tool for predicting the anticancer drug response of each patient. Patient-derived tumor organoids (PDOs) have emerged as reliable in vitro tools for developing precision medicine. Herein, we describe a case of a 50-year-old nonsmoking man who was diagnosed with non-small cell lung cancer. Initially, no clinical symptoms were found in this patient. Postoperative pathology confirmed a stage Ib tumor, and an epidermal growth factor receptor (EGFR) mutation (exon21p.L858R) was detected in the patient’s lung tumor specimen. The patient later showed intracranial relapse 17 months after complete resection. An organoid culture was established from the resected brain metastatic tissue and a drug sensitivity test showed, within 72 hours, that the organoids were resistant to gefitinib and osimertinib. Our results recapitulated the patient’s response to anticancer drugs, demonstrating the potential of PDOs for precision medicine.
Graph propagation network captures individual specificity of the relationship between functional and structural connectivity

Functional connectivity (FC) network characterizes the functional interactions between brain regions and is considered to root in the underlying structural connectivity (SC) network. If this is the case, individual variations in SC should cause corresponding individual variations in FC. However, divergences exist in the correspondence between direct SC and FC and researchers still cannot capture individual differences in FC via direct SC. As brain regions may interact through multi‐hop indirect SC pathways, we conceived that one can capture the individual specific SC–FC relationship via incorporating indirect SC pathways appropriately. In this study, we designed graph propagation network (GPN) that models the information propagation between brain regions based on the SC network. Effects of interactions through multi‐hop SC pathways naturally emerge from the multilayer information propagation in GPN. We predicted the individual differences in FC network based on SC network via multilayer GPN and results indicate that multilayer GPN incorporating effects of multi‐hop indirect SCs greatly enhances the ability to predict individual FC network. Furthermore, the SC–FC relationship evaluated via the prediction accuracy is negatively correlated with the functional gradient, suggesting that the SC–FC relationship gradually uncouples along the functional hierarchy spanning from unimodal to transmodal cortex. We also revealed important intermediate brain regions along multi‐hop SC pathways involving in the individual SC–FC relationship. These results suggest that multilayer GPN can serve as a method to establish individual SC–FC relationship at the macroneuroimaging level.
Active Metasurface Absorber for Intensity- Dependent Surface-Wave Shielding

A novel intensity-dependent metasurface absorber for continuous surface waves is presented, which is composed of electrically tunable unit cells controlled by a centralized active module. p-i-n diodes are embedded in the unit cells, functioning as rheostats for both the dispersion tuning and dissipation adjustment. The module fulfills the nonlinearity by sensing incoming wave intensities and offering direct-current (dc) signals to control the absorptive array. Due to the centralized control, the cells operate in good consistency, which is beneficial for a wide frequency band and absorption range. A prototype is fabricated and measured, and its strong intensity-dependent absorption is demonstrated. When the incident power level increases, the absorptance is enhanced gradually from 19.4% to 92.7%. In an instantaneous bandwidth of 12.0%, the absorption can be tuned from 30% to 80% by changing the power. Furthermore, the dynamic range of power and absorption range can be flexibly customized as required, and the nonlinear functions can be promptly turned off if necessary, showing the advantages of the active mechanism. Such results enable the metasurface to be useful in electromagnetic (EM) shielding to mitigate the harmful impact of strong surface waves and protect small useful signals.
Antieosinophil Antibodies Alone or in Combination with Antineutrophil Cytoplasmic Antibodies (ANCA) Detected in Different Autoimmune Conditions

Circulating antieosinophil antibodies (AEOSA) have been associated with various autoimmune conditions affecting the liver, kidneys, lungs, and joints but are not part of routine clinical diagnostics. While analyzing human sera for antineutrophil cytoplasmic antibodies (ANCA) by indirect immunofluorescence (IIF) on granulocytes, 0.8% of analyzed samples were found to be reactive with eosinophils. Our aim was to determine the diagnostic relevance and antigenic specificity of AEOSA. AEOSA were seen either in combination with an myeloperoxidase (MPO)-positive p-ANCA (44%; AEOSA+/ANCA+) or on their own (56%; AEOSA+/ANCA−). AEOSA/ANCA positivity was seen in patients with thyroid disease (44%) or vasculitis (31%), while AEOSA+/ANCA− pattern was more common in patients with autoimmune disorders of the gastrointestinal tract and/or liver. Eosinophil peroxidase (EPX) was the main target recognized in 66% of the AEOSA+ sera by enzyme-linked immunosorbent assay (ELISA). Eosinophil cationic protein (ECP) and eosinophil-derived neurotoxin (EDN) were also identified as target antigens but less frequently and only in combination with EPX. In conclusion, we confirmed that EPX is a major target of AEOSA, illustrating the high antigenic potential of EPX. Our results also demonstrate the presence of concomitant AEOSA/ANCA positivity in a defined patient group. Further research should aim to elucidate the association of AEOSA with autoimmunity.
Generation and mutational analysis of a transgenic murine model of the human MAF mutation

Aymé‐Gripp syndrome is an autosomal dominant multisystem disorder. The major clinical features of this syndrome include congenital cataracts, sensorineural hearing loss, intellectual disability, and a distinctive flat facial appearance. MAF has been identified as a causative gene of the syndrome, and heterozygous variants owing to impairment in glycogen synthase kinase 3 (GSK3)‐mediated MAF phosphorylation shows related disorders. However, the underlying mechanisms of these types of disorders in affected individuals remain poorly understood. To explore the underlying mechanisms and discover new phenotypes, a murine model with a Maf mutation on a GSK3 phosphorylation motif, p.Thr58Ile, was generated using CRISPR‐Cas9 gene editing. This is a homologous mutation to that in human patients. Our murine model exhibited similar phenotypes to those in humans, such as lens abnormalities, short stature, growth retardation, and abnormal skull morphology. The murine model showed decreased brain volume and malocclusion. Considering the sequencing and genotyping data, our models were successfully generated for the first time (to the best of our knowledge). Therefore, this study offers new and unique functional insights into human and murine MAF and novel clinical values of MAF pathogenic variants associated with changes in the functions of several organs based on a viable murine model.
An Investigation on the Relationship Between Mineral Nutrition of Lemon and Rumple

This study investigated the relationship between Rumple and tree crown parts regarding direction, fruit development stages and fruit rind nutrient content. A Lemon orchard on which Rumple disorders have shown severely were chosen among Erdemli and Silifke region where the majority of grown lemon cultivar is Kütdiken. In this orchard, from healthy and contaminated trees samples were taken from the South and West half parts of crown and the North and East parts of the crown separately. Also, fruit samples were taken at four fruit development stages which were hazelnut-sized fruit, end of fruit enlargement, the beginning of maturation and fully mature fruit stages. The rind of samples fruit was analyzed, and their content of N, P, K, Ca, Mg, S, Mn, Fe, Zn, B, Cl and Na was determined. PCA was used to analyze these data. Biplot scheme of the 2nd Sampling from the part one-half of the trees which includes the South and West directions, that is, from the Healthy (G2S) and Rumple signed trees (G2B) taken were examined. The increase in K, Zn, Fe, Ca, and Mg is associated with Na, P and Cl concentration reduction. Besides this, in this period, it was observed that fruit rind has higher N, S, Mn and B content which were taken from part one, that is, the South and West sides, of healthy plants. The relationship identified here is important because Rumple’s symptoms become visible after this stage.
Phaser-Based Transfer Function Analysis of Power Synchronization Control Instability for a Grid Forming Inverter in a Stiff Grid

The grid forming inverter (GFM) is considered a key technology to solve the issues of inverter-based resource (IBR)-rich grids. Many studies have investigated how GFM affects and improves power system stability. However, few studies have considered the instability of GFM as it relates to various grid conditions. This paper discusses the mechanism of power synchronization control instability of GFM by conducting transfer function analysis with a focus on various grid conditions, the control logic of GFM, and relevant parameter setting. The above analysis reveals that the instability of GFM is likely to occur when it is connected to stiff grids or has a larger phase delay due to a longer power measurement delay and lower damping of the controller. Based on these findings, a procedure for power synchronization controller design of GFM is proposed. Finally, experimental tests in the control hardware in the loop (CHIL) environment are performed to verify the validity of the transfer function analysis.
Design of a corporate financial crisis prediction model based on improved ABC-RNN+Bi-LSTM algorithm in the context of sustainable development

In the context of sustainable economic development, while economic globalization brings new vitality to the company, it also makes the company face an increasingly severe external environment. The managers have to shift their focus to capital market investment. The excessive pursuit of investment benefits can easily lead to decision-making errors, resulting in a financial crisis for the company, and even may be forced to delist in severe cases. This article proposes a financial crisis prediction model based on Artificial Bee Colony—recurrent neural network (ABC-RNN) and bidirectional long short-term memory (Bi-LSTM) company with a characteristic attention mechanism. We combined ABC-RNN with Bi-LSTM to extract more temporal feature vectors from financial data. Then we introduced a feature attention mechanism to extract better depth features from financial data; the ABC algorithm is introduced to optimize the weight and bias of RNN to improve the reasoning speed and accuracy. The experiment shows that the prediction accuracy and recall of the model on the test set have reached 88.94% and 88.23%, respectively, which has good prediction ability. The outcome of this research helps the company to prevent and deal with the financial crisis in time and promote the sustainable development of the market economy.
Maximum Throughput Dispatch for Shared Autonomous Vehicles Including Vehicle Rebalancing

Shared autonomous vehicles (SAVs) provide on demand point-to-point transportation for passengers. This service has been extensively studied using dispatch heuristics and agent based simulations of large urban areas. However, these approaches make no mathematical guarantees of the passenger throughput for the SAV network. This study builds on the dynamic queuing model design of Kang and Levin which provides a maximum stability dispatch policy for SAVs. This model is extended to include rebalancing of empty vehicles to regions of high demand. The modified dispatch policy is proven to maximize throughput. Simulation results show that this dispatch policy reduces waiting times (between vehicle dispatch and passenger pickup) compared to the original formulation. However, vehicle time traveling empty increases in some scenarios. Simulation results also show that rebalancing often reduces passenger waiting times, but not when too many vehicles rebalance at once and are not available for dispatch.