Miracle-dz/UniFAR-FTUs huggingface dataset:
The Supporting Line Method for Solving LP

Let LP(n) : max F =cx Ax b x 0 in this A=(· ) m× n,n m 2 n,b 0 . This paper points outsupporting line method for solving LP(n) ,By the method in n2 +1 2 n(n- 1 ) degrees rotations we are finding optimal solution for Lp(n) .
Adjuvant denosumab in early breast cancer: a systematic review and meta-analysis of randomized controlled clinical trials

Background: In early breast cancer (BC) the impact of denosumab on survival outcomes is still unclear. We undertook a systematic review and meta-analysis to assess efficacy and safety of adjuvant denosumab in addition to standard anticancer therapy. Methods: PubMed, CENTRAL, Scopus, Embase, and oncological meetings websites were screened to identify potentially eligible randomized controlled trials (RCTs). Survival outcomes were disease-free survival (DFS), bone-metastasis-free survival (BMFS), and overall survival (OS). Fracture incidence and time to first fracture were bone-health outcomes. Osteonecrosis of the jaw (ONJ), atypical femur fractures (AFF), and other adverse events were also evaluated. Pooled hazard ratios (HRs) and risk ratios (RR) with respective 95% confidence interval (95% CI) were computed using a random-effects model. Exploratory subgroup analyses were performed. Results: Two phase III RCTs were included, the Austrian Breast & Colorectal Cancer Study Group-18 (ABCSG-18) and the D-CARE trials, for a total of 7929 patients. In the ABCSG-18 trial, denosumab was administered every 6 months during endocrine therapy (for a median of seven cycles) while the D-CARE trial used an intensive schedule for a total treatment duration of 5 years. Adjuvant denosumab showed no difference in DFS (HR: 0.932; 95% CI: 0.748–1.162), BMFS (HR: 0.9896; 95% CI: 0.751–1.070), and OS (HR: 0.917; 95% CI: 0.718–1.171) compared to placebo in the overall population. In hormone receptor positive/human epidermal growth factor receptor 2 (HER2) negative BC patients, a DFS (HR: 0.883; 95% CI: 0.782–0.996) and BMFS (HR: 0.832; 95% CI: 0.714–0.970) benefit was observed and BMFS was prolonged in all hormone receptor positive patients (HR: 0.850; 95% CI: 0.735–0.983). Fracture incidence (RR: 0.787; 95% CI: 0.696–0.890) and time to first fracture (HR: 0.760; 95% CI: 0.665–0.869) were also improved. No increase in overall toxicity was seen with denosumab and no differences were observed for ONJ and AFF between the 60-mg every 6-month schedule and placebo. Conclusion: Denosumab addition to anticancer treatment does not improve DFS, BMFS, or OS in the overall population, although a DFS improvement was observed in hormone receptor positive/HER2 negative BC patients and a BMFS improvement in all hormone receptor positive patients. Bone-health outcomes were improved with no added toxicity with the 60-mg schedule. Registration: PROSPERO identifier: CRD42022332787.
A Nested Attention Guided UNet++ Architecture for White Matter Hyperintensity Segmentation

White Matter Hyperintensity (WMH) is a common finding in Magnetic Resonance Imaging (MRI) of patients with cerebral infarction and is associated with poor prognosis. Accurate and rapid segmentation of WMH lesions is critical for clinicians to assess the risk of rebleeding and the long-term prognosis of thrombolytic patients. However, segmentation can be challenging due to the erratic signals of WMH in MRI, leading to imprecise results. Deep learning-based approaches have been proposed, but the dice similarity coefficient remains low. Atlas images are navigation maps that integrate various medical information expressions. In this study, we propose a nested attention-guided UNet++ framework that employs attention mechanisms to capture local and global features of WMH lesions using atlas images for segmentation. The framework consists of two modules, the atlas attention module, and the nested attention-guided nested U-Net module. The atlas attention module generates the atlas attention map, which is used as the input for the nested attention-guided nested U-Net module that generates the segmentation map of the FLAIR image. Experimental results demonstrate that the proposed NAUNet++ framework converges faster than conventional UNet and UNet++ approaches. Moreover, the nested architecture enhances recall and f1 scores of the segmentation results compared to the attention-guided approach.
Combinatorial Reid's recipe for consistent dimer models

Reid's recipe for a finite abelian subgroup $G\subset \text{SL}(3,\mathbb{C})$ is a combinatorial procedure that marks the toric fan of the $G$-Hilbert scheme with irreducible representations of $G$. The geometric McKay correspondence conjecture of Cautis--Logvinenko that describes certain objects in the derived category of $G\text{-Hilb}$ in terms of Reid's recipe was later proved by Logvinenko et al. We generalise Reid's recipe to any consistent dimer model by marking the toric fan of a crepant resolution of the vaccuum moduli space in a manner that is compatible with the geometric correspondence of Bocklandt--Craw--Quintero-V\'{e}lez. Our main tool generalises the jigsaw transformations of Nakamura to consistent dimer models. Comment: 29 pages, published version
On Generalisation of Frongello Linking Algorithm

New explicit representation formulae for the well-known Frongello Linking Algorithm are presented and two new families of Linking Algorithms are created based on simple algebraic analysis of these formulae (which will be known as cF and gF Linking Algorithms). Although these new algorithms cF and gF can be considered as the generalisations of Frongello, they stand alone as a novel approach to Arithmetic Attribution Linking and do not have the well-known weaknesses of the original and Modified Frongello. The corresponding analysis of cF and gF Linking Algorithms shows the usefulness of a new approach to Performance Measurement Linking Algorithms. As the most powerful and universal of the two Algorithms presented here, gF should be considered as an ultimate possible generalisation of Frongello. In turn, cF serves as a “halfway thought” version of gF, its construction is much simpler but power of outcome is almost the same. Unlike the standard and Modified Frongello Algorithms, gF is also independent of the month order, symmetric and homogeneous. The simplicity of cF and gF Linking Algorithms makes them easy to use and hence more appropriate for practitioners without advanced degrees in mathematics.
Voxel Anthropomorphic Models as a Tool for Internal Dosimetry

Specific Absorbed Fractions (SAF), which specify the fraction of the energy emitted by radioactivity in a given organ which is absorbed in the source organ itself and in other organs, are a prerequisite for the calculation of dose from internally deposited radioactive emitters. Extensive calculations of SAFs for monoenergetic photon sources were performed using Monte Carlo photon transport codes together with voxel anthropomorphic models based on computed tomographic data of real persons of various ages. These models offer greater realism with respect to organ topology than the mathematical phantoms commonly used up to now. Selected results are compared with those from the literature derived using the Oak Ridge mathematical phantoms. Some general results of other authors were confirmed by the present results, whereas for some source-target organ combinations discrepancies of up to one or two orders of magnitude were found, depending on photon energy and the location and masses of the organs involved. Agreement for the different model types of the organ absorbed doses per administered activity for radionuclides was found to be much better than that of the SAF values.
Regression Test Generation by Usage Coverage Driven Clustering on User Traces

Regression testing is used to verify that changes or modifications do not negatively impact existing features or functionality. However, it can be a significant bottleneck due to the challenge of determining the optimal number of tests for adequate coverage and fast execution and the difficulty for Quality Assurance engineers to anticipate end-user behavior. This paper presents a Usage Coverage Driven Clustering (UCDC) approach that regroups user trace logs in clusters of similar behavior, then constitutes the optimal test suite by electing one user trace per cluster as test cases. To find the optimal number of clusters, a novel metric is proposed to evaluate the statistical representativeness of the selected test candidates. Experimentation on three datasets 1 shows that the proposed metric, as compared to generic metrics such as the David-Bouldin index, leads to a smaller number of clusters while ensuring 95% usage coverage by the test suite. Several approaches from the state of the art are combined with UCDC and compared, and two of them outperform the others.
Galerkin method and approximate tracking in a non-minimum phase bilinear system

The tracking control of non-minimum phase systems is nowadays an open and challenging field, because a general theory is still not available. This article proposes an indirect control strategy in which a key role is played by the inverse problem that arises and their approximate solutions. These are obtained with the Galerkin method, a standard functional analysis tool. A detailed study of the effect on the output caused by the use of an approximate input is performed. Error bounds are also provided. The technique is motivated through its implementation in basic, DC-to-DC nonlinear power converters that are intended to be used as DC-to-AC voltage sources.
Active fault tolerant control design for uncertain strict-feedback non-linear systems

This study proposes an active fault tolerant control (FTC) scheme for uncertain strict-feedback non-linear systems. Changes in the system dynamics due to faults are modelled as unknown non-linear functions of the measurable state variables. The scheme is composed of fault detection and estimation (FDE) module, accommodation mechanism and nominal controller based on the dynamic surface control (DSC). The FDE module, composed of a diagnostic estimator and an adaptive non-linear-in parameter (NLIP) approximator, generates the residual signal, detects and estimates fault simultaneously. Robust adaptive laws are derived for learning all parameters of an adaptive NLIP approximator. After FDE, accommodation mechanism uses the generated fault information to construct the corrective control law to compensate the fault effects. The proposed active FTC system detects and estimates unknown fault and constructs a corrective control law to reduce the effects of fault on the system without the need for fault isolation module. Unlike most of the traditional active FTC schemes, the proposed scheme requires no prior knowledge about the faulty situations, offline computational cost and fault isolation module. It is proven that all signals of the closed loop system are uniformly ultimately bounded. Simulation results illustrate the effectiveness of the proposed scheme.
AN APPRAISAL OF THE BIOLOGICAL DIVERSITY ACT, 2002 AND RULES, 2004 – STRENGTHS AND WEAKNESSES

Aim: To create basic understanding of the Biological Diversity Act, 2002 and Rules 2004, along with their strengths, weaknesses, complexities, incongruities and provide some suggestions in them. Background: Biodiversity is the 'variety, variability, between genes, species and ecosystems'. It is very important for the survival of the human beings because it has direct consumptive value in food, medicine, agriculture, industry. Being one of the world's 'mega diversity' countries India, in order to ensure compliance with the Convention of Biological Diversity, 1992, enacted Biological Diversity Act in 2002 and the Biological Diversity Rules in April 2004. They are considered necessary for the conservation and sustainable use of biological diversity and regulate the access to biological resources of the country with the purpose of ensuring equitable share in benefits arising out of the uses of bioresources and associated knowledge to prevent the biopiracy. Review results: Though the objectives of the act are noble it has created confusions amongst the most biologists, researchers, herbal industry, raw drug suppliers and start up entrepreneurs. Along with certain strengths, there are some drawbacks like inadequate access to local communities, non-inclusion of genetic resources and complexities in access benefit sharing and equitable benefit sharing etc. Conclusion: Though the Act and Rules have some salient features there are some drawbacks and weaknesses which need to be rectified. Incorporation of the suggestions mentioned in this article can help in successfully dealing with the loopholes in the Biodiversity Act and Rules. However, till the next amendments in the legislation it is absolutely necessary for everybody in the fields related with the use of biological resources and traditional knowledge related to them to be apprised of the act.
Severe Thunderstorm Evolution and Mesocyclone Structure as Related to Tornadogenesis

Abstract Severe thunderstorm evolution is synthesized, using published and unpublished studies of radar, instrumented aircraft, visual and surface observations. These observations reveal the existence of a downdraft (originating at 7–10 km AGL) on the relative upwind side of the updraft. Air decelerates at the upwind stagnation point, is forced downward and mixes with air below which then reaches the surface through evaporative cooling and precipitation drag. The initially rotating updraft is then transformed into a new mesocyclone with a divided structure, in which the circulation center lies along the zone separating the rear blank downdraft from the updraft. This process appears to result, in part, from tilting of horizontal vorticity into the vertical. It is proposed that the zone of strong vertical velocity gradient across which the mesocyclone comes to be positioned is also characterized by a strong temperature gradient and is the genesis region of strong tornadoes. Although no direct observations a.
Systematic review and meta-analysis of the relationship between attitudes toward socially responsible corporations and purchasing intentions

Purpose A majority of consumers are supportive of socially responsible companies making positive contributions to their communities. However, results of empirical studies on consumers’ attitudes toward corporate social responsibility (ACSR) and their purchasing intentions (PI) have been inconsistent. The purpose of this paper is to measure the strength of association between ACSR and PI. This study also aims to examine the moderating effects of firm characteristics (product type and commitment to green/sustainability initiatives), consumer demographics (gender and age) and external factors (geographic region). Design/methodology/approach The authors conducted a systematic search, which yielded 28 studies that met the criteria for inclusion in the meta-analysis (total participants = 12,242). This study used meta-analysis to examine the association between ACSR and PI using random effects analyses. Subgroup analyses and meta regression were used to detect moderators in the meta-analysis. Findings The main result showed that the average weighted correlation (r+) was 0.478, indicating that ACSR had a strong positive relationship with PI. Subgroup analyses indicated geographic region and product type had no significant moderating effect on the relationship between ACSR and PI. However, the difference for commitment to green initiatives was marginally significant. The high levels of heterogeneity (Q = 535.199, I² = 94.955) and a possible absence of publication bias were evident in the meta-analysis. Originality/value This meta-analysis can make meaningful contributions to the existing body of knowledge on corporate social responsibility by testing the influence of the important moderators that include geographic region, product type and commitment to green initiatives.
Phase Compensation Factor-Based Low Frequency Crossing for Sensorless Induction Motor Drives With Changing Loads

This article deals with speed observation methods for sensorless induction motor drives (SIMDs). The speed observability of SIMD near zero stator frequency is a well-known concern. Using adaptive magnetizing current, existing methods are capable of crossing the zero-stator-frequency line, but still limited to constant load conditions. To solve these problems, this article presents a phase compensation factor-based low frequency crossing method with changing loads (PCF-LFCCL) to realize low frequency crossing process with decreased overcurrent and speed spikes. First, the influence of load variations is studied finely, the LFCCL method is proposed with adaptive magnetizing current. Secondly, the torque output capacity analysis is given and illustrated. On this basis, the synchronous speed limit can be adopted properly. Thirdly, a generalized current model is developed for SIMD. The model reveals the phase delay phenomenon between magnetizing current reference and actual torque current, which can lead to speed spikes and overcurrent. To address this issue, a phase compensation factor (PCF) based method is developed by reconstructing compensation values to correct the torque current. Finally, comparative experiments are presented to validate the PCF-LFCCL method, including stator resistance error test for parameter robustness.
Large-amplitude acoustic streaming

Abstract A mechanism is proposed for the generation of large-amplitude acoustically-driven streaming flows in which time-mean flow speeds are comparable to the instantaneous speed of fluid particles in a high-frequency sound-wave field. Motivated by streaming observed in high-intensity discharge (HID) lamps, two-dimensional flow of a density-stratified ideal gas in a channel geometry is analysed in the asymptotic limit of high-frequency acoustic-wave forcing. Predictions of streaming flow magnitudes based on classical arguments invoking Reynolds stress divergences originating in viscous boundary layers are orders of magnitude too small to account for the observed mean flows. Moreover, classical ‘Rayleigh streaming’ theory cannot account for the direction of the cellular mean flows often observed in HID lamps. In contrast, the mechanism proposed here, which invokes fluctuating baroclinic torques away from viscous boundary layers and thus is largely independent of viscous effects, can account both for the magnitude and the orientation of the observed streaming flows.
Compliant peg-in-hole assembly for nonconvex axisymmetric components based on attractive region in environment

Abstract With the development of intelligent manufacturing, more and more nonstandard parts are used in high-precision assembly. The robotic assembly method based on attractive region in environment (ARIE) has been proven to have good performance in the high-precision assembly under the limitation of robot system accuracy or sensing accuracy. However, for the assembly of nonstandard parts, especially nonconvex parts, the existing ARIE-based strategy lacks a targeted design. In the assembly process, the nonconvex structure may cause blocking problems, which will lead to assembly failure when using the strategy. In order to solve this problem, this paper proposes a new assembly method by using the geometric features of constraint region based on the concept of ARIE. Specifically, first, when using the ARIE-based classic strategy, the reasons for the possible blocking problem in the assembly of a class of nonconvex axisymmetric parts are analyzed in detail. Second, a multi-step sliding strategy is proposed based on the theory of ARIE to solve the possible blocking problem in the assembly process. Third, impedance control is used to enable the peg to achieve the desired compliant motion in the proposed strategy. The improvement in the success rate of the proposed method is verified by the comparison experiment of small clearance peg-in-hole assembly, where the structure of the peg is nonconvex and axisymmetric.
Assessment of Thyroid Function among the individuals of tea garden community of Assam: A Hospital based Study.

Anju Barhai Teli. Background: Thyroid disorder has been a very common problem all over the world. Thyroid problem in -thalassemia major patients are well documented. Aim of the work: The aim of this study was to find out the status of thyroid profile among the tea garden community of Assam and the effect of hemoglobinopathy and -thalassemia over it. Materials and methods: A total 265 patients belonging to the tea garden community were recruited for the study. Laboratory investigations were done for thyroid function, hemoglobin typing and complete blood count. Statistical analysis was carried out using SPSS 21.0 and Pearson correlation and regression analysis were applied. Results: A total 36 patients were detected with thyroid dysfunction. Among these, 34 have hypothyroidism (12.8%) and 2 have hyperthyroidism (0.8%). Hemoglobinopathies and -thalassemia were detected in 181 (68.3%) of the patients. About 88% of the studied population was anemic. Female individuals were found to be more anemic than males. The study showed that there were positive correlation between Hb and TSH level (r = 0.18, P = 0.003), TSH and T4 level (r = 0.240, P<0.0001), TSH and T3 level (r = 0.383, P<0.0001). The age of the patients were correlated negatively with the T3 (r = -0.147, P = 0.017) and TSH (r = -0.157, P = 0.012) levels. Gender had a significant effect on the levels of TSH (P = 0.01) and T4 (P = 0.01). Conclusions: The present study was able to show the status of the thyroid profile among the tea garden community of Assam.
Coarse geometric properties of the Hilbert geometry

We give a necessary and sufficient condition for the natural boundary of a Hilbert geometry to be a corona. In addition, we show that any Hilbert geometry is uniformly contractible and with bounded coarse geometry. As a consequence of these we see that the coarse Novikov conjecture holds for a Hilbert geometry under a mild condition. Also we show that the asymptotic dimension of any two-dimensional Hilbert geometry is just two.
Design and Analysis of Dielectrically Modulated Tunnel FET Embedded Nanocavity for BreastCancer Cells

This paper presents the design and simulation of Dielectrically Modulated Tunnel Field Effect Transistor embedded with dual nanocavities. The device has been simulated as a label free biosensor for cancer cell biomolecules. We have used Silvaco ATLAS model for all simulations of the device and we have find the performance parameters in the presence of different cancer cells biomolecules. We have analyzed the drain current, and sensitivity for the presence of different cancer cell biomolecules.
A COMPARATIVE ANALYSIS OF REVENUE-BASED LAND INFORMATION SYSTEM INTEGRATING SENTINEL-2 AND PLANET IMAGERY FOR CROP CLASSIFICATION

The study presents a revenue-based land information system integrated with the crop information. In this study, Sentinel-2 and Planet imagery have been used for crop classification using supervised classification. The accuracy attained from the Planet image was 90.67% and 82% for Sentinel 2, respectively. The study finds that the rice crop was grown a significant portion in the study area. The result shows the Murabba and Khasra based information of the existing Land use and Land cover information and Planet data provides better adjustment with the cadastral data. This integration includes essential information for identifying crops at the Khasra level and revenue base estimation of crop yield for the particular land parcel.