Miracle-dz/UniFAR-FTUs huggingface dataset:
CMAR_A_250371 4461..4473

Mancheng Xia Haosen Yang Yusheng Wang Keqiang Yin Xiaodong Bian Jiawei Chen Weibing Shuang 3 1First Clinical Medical College, Shanxi Medical University, Taiyuan, People’s Republic of China; 2Kidney Transplantation Center, Shanxi Second People’s Hospital, Taiyuan, People’s Republic of China; 3Department of Urology, The First Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China Objective: To develop and validate a nomogram for predicting the overall survival (OS) of renal cell carcinoma (RCC) patients after nephrectomy. Materials and Methods: In total, 488 patients with RCC who underwent nephrectomy at the Urology Department of the First Hospital of Shanxi Medical University between January 2013 and December 2018 were randomly divided into a development cohort (n = 344) and a validation cohort (n = 144). The development cohort was used to build a prediction model, and the validation cohort was used for validation. Single-factor and multifactor analyses were carried out with R software, and the nomogram, calibration chart, ROC curve and C index were constructed. Results: The median follow-up time of the development and validation cohorts was 34 months. The total 3-year and 5-year survival rates of the development cohort were 93.3% and 91.6%, respectively; those of the validation cohort were 92.4% and 91.0%, respectively. Cox univariate analysis of the development cohort showed that age, type 2 diabetes mellitus (T2DM), smoking history, type of surgery, T stage, N stage, M stage and Fuhrman nuclear grade were prognostic factors for OS in RCC patients undergoing nephrectomy. Cox multivariate analysis showed that T2DM, smoking history and T stage were independent prognostic factors for OS in RCC patients undergoing nephrectomy (P < 0.05). According to the univariate and multivariate analyses, a nomogram was constructed. In the development cohort, the C index of predicted OS was 0.875 (95% CI, 0.820–0.930). The calibration curve of the 3-year and 5-year survival rates showed that the predicted value of the nomogram was consistent with the actual observed value. The area under the 3-year and 5-year survival ROC curves was 0.861 and 0.901, respectively. In the validation cohort, the C index was 0.880 (95% CI, 0.778–0.982). The calibration curve of the 3-year and 5-year survival rates showed that the predicted value of the nomogram was consistent with the actual observed value. The area under the 3-year and 5-year survival ROC curves was 0.813 and 0.799, respectively. Conclusion: We developed and verified a new and accurate nomogram with available clinicopathological data that can effectively predict the OS of RCC patients after nephrectomy.
DEVELOPMENT AND VALIDATION OF STABILITY INDICATING HPTLC METHOD FOR SIMULTANEOUS ESTIMATION OF CETRIZINE HYDROCHLORIDE AND AMBROXOL HYDROCHLORIDE IN COMBINED TABLET DOSAGE FORM

The present study describes development and validation of a simple, accurate, precise and selective stability-indicating high performance thin layer chromatographic method for simultaneous estimation of Cetrizine hydrochloride and Ambroxol hydrochloride in combined tablet dosage form. Chromatographic separation of both the drugs was carried out by using silica gel 60F 254 as stationary phase and Ethyl acetate: Methanol: Ammonia in the ratio of (8: 1.5: 0.5, v/v/v) as mobile phase. Densitometric detection was carried out at 222 nm. The two drugs were satisfactorily resolved with Rf values of 0.30 ± 0.06 for Cetrizine hydrochloride and 0.71 ± 0.03 for Ambroxol hydrochloride. The developed method was validated in terms of linearity, accuracy, precision and robustness as per ICH guidelines. The drugs were subjected to forced degradation studies under condition of hydrolysis (acid, base), oxidation, photolysis and thermal stress. Results were found to be linear in the concentration range of 25-150 ng band -1 for Cetrizine hydrochloride and 300-1800 ng band -1 for Ambroxol hydrochloride. The method has been successfully applied for the estimation of drugs in tablet dosage form. The % assay (Mean ± S.D.) was found to be 100.62 ± 1.45 for Cetrizine hydrochloride and 100.37 ± 0.95 for Ambroxol hydrochloride. The developed method can be used efficiently for routine quality control analysis of both the drugs as bulk and in combined tablet dosage form.
University of Birmingham Graphical presentation of diagnostic information

Background: Graphical displays of results allow researchers to summarise and communicate the key findings of their study. Diagnostic information should be presented in an easily interpretable way, which conveys both test characteristics (diagnostic accuracy) and the potential for use in clinical practice (predictive value). Methods: We discuss the types of graphical display commonly encountered in primary diagnostic accuracy studies and systematic reviews of such studies, and systematically review the use of graphical displays in recent diagnostic primary studies and systematic reviews. Results: We identified 57 primary studies and 49 systematic reviews. Fifty-six percent of primary studies and 53% of systematic reviews used graphical displays to present results. Dot-plot or box- and-whisker plots were the most commonly used graph in primary studies and were included in 22 (39%) studies. ROC plots were the most common type of plot included in systematic reviews and were included in 22 (45%) reviews. One primary study and five systematic reviews included a probability-modifying plot. Conclusion: Graphical displays are currently underused in primary diagnostic accuracy studies and systematic reviews of such studies. Diagnostic accuracy studies need to include multiple types of graphic in order to provide both a detailed overview of the results (diagnostic accuracy) and to communicate information that can be used to inform clinical practice (predictive value). Work is required to improve graphical displays, to better communicate the utility of a test in clinical practice and the implications of test results for individual patients
REVIEW OF CHRONIC RENAL DISEASE MANAGEMENT IN FAMILY MEDICINE

: Because chronic kidney disease is a growing health concern, primary physicians must be equipped to care for this unique patient population. In this review we discuss the criteria, diagnosis and management methods of CKD. Electronic searches of the PubMed, EMBASE, and Cochrane Library databases were conducted for the purposes of conducting a narrative review of all studies concerning Chronic renal disease management in family medicine published in English language up to August, 2018. Family physicians play a key function in ensuring that individuals with chronic kidney illness obtain proper counseling and health maintenance treatments; this is a pivotal part to effective management of chronic kidney disease Immunizations that are suggested for all chronic kidney disease patients are influenza and pneumovax vaccinations. Once a patient develops stage 4 chronic kidney illness, they ought to likewise receive the hepatitis B series because hemodialysis patients are at a raised risk of exposure to hepatitis B, in spite of cautions. Diabetes mellitus and hypertension, which are frequently managed in the workplace setting, are the largest contributors to chronic kidney condition; for that reason, these danger aspects ought to be tightly controlled and these patients must be screened closely for indications of kidney damages. Further health maintenance measures should be executed according to the patient's other disease-specific suggestions and age.
Emerging Trends Using Various Technological Advancements in Traumatic Brain Inury (TBI) in Western U.P

Objective: To study the various advance technology for the diagnosis of Traumatic Brain Injury (TBI) and find out Emerging trends occur in TBI patients. Methods: The Present study was conducted with 80 patients, age between 02 year to 70 year mean age (36 Years) presenting to emergency department of Uttar Pradesh University of Medical Sciences, Saifai, Etawah, with a history of acute head trauma from October 2016 to March 2017. All patients were examined using 64 slices MDCT and 1.5T MRI Scanner also. Results: Traumatic brain injury caused by various reasons like 65.0% Road Traffic Accidents (RTA) and 20.0% Fall From Height (FFH) being and 12.5% Assault/hit by hard object and 2.5% are Gunshot injury. Loss of consciousness was the most common complaint of the 58.75% TBI patients followed by 8.45% Vomiting and headache, 20.0% facial injury and 12.5% scalp injury. All TBI patients were diagnosed by MDCT 64 Slices Somatom Sensation Scanner who was observed 36.25% skull fractures, 12.5% Extra Dural hematoma, 13.75% Sub Dural hematoma, 13.75% Sub archnoid haemorrhage, 8.75% Intra cerebral hematoma, 25.0% brain contusions and 11.25% diffuse cerebral edema. Conclusion: Road Traffic Accidents remain the leading cause of trauma in our country. MRI and MDCT is well characterized of the extent and various types of hemorrhages and skull fractures in TBI patients. The present study data is indicated 65.0% majority of TBI patients is suffered by Road traffic accidents mainly young males with alcoholism.
New Algorithm For Multi-Robot Path Planning In Known Environment

In this paper, solved a robot path planning problem in known environment using anew algorithm called the Fuzzy Probalistic Road Map Star PRM* algorithm. In this algorithm, we have modeled the workplace including obstacles As fuzzy. Here, we develop PRM algorithm, so that it can run in a fuzzy environment.We assign a weight for each obstacle (fuzzy number) which represents the obstaclemeasures, meaning that whenever this weight is larger, the obstacle becomes more impassable (or more dangerous). This algorithm has been designed for using by robot's movement in difficult areas (such as areas full with obstacles in which the robot requiresto crossover these obstacles to reach its goal). By compare the FPRM* withnormal PRM we found that modeling the environment as fuzzy helps to improve the path.
A Appendix: A comparison of classical methods

The usual way of presenting discrete-time Markov models states that transition can only occur at the boundaries between cycles, i.e., at t = 0, τ, 2τ, 3τ . It implies that the state of the system does not change within a cycle. When transitions are not allowed at t = 0, most authors say that “transitions occur at the beginning of each cycle”. In this case the probability in the interval [iτ, (i+1)τ) is Pi(s). With these assumptions and approximations, the total cost is CE = τ h−1 ∑
Topics in Integral Matrices and Abelian Group Codes

This thesis consists of two independent chapters. The first chapter concerns the Smith Normal Form (SNF) over the integers ℤ of integral matrices. We consider the SNF of a matrix A to be the ratio of two ℤ-modules -- a finitely generated abelian group; this is called the Smith group of A. The Smith group provides a unified setting to present both new and old results. The new results concern the relationship between the eigenvalues of an integral matrix and its SNF. In particular, the multiplicities of integer eigenvalues are shown to relate to the multiplicities in the type of the Smith group. Bounds are also given for the exponent of the Smith group. In some cases, these are best possible. The old results discussed are the interlacing of the SNF in the case of augmented matrices and the symmetries of the SNF for certain combinatorial matrices. The latter results are extended to rectangular matrices. Numerous examples are given throughout, along with many conjectures based on computation. The second chapter generalizes the work of Pless, et al. on duadic codes and Q-codes. We take abelian group codes to be ideals in the group ring F[G], where G is a finite abelian group of odd order n and F is a finite field with characteristic relatively prime to n. We define generalized Q-codes from a pair of idempotents of F[G] and an automorphism of G which together obey two simple equations. These codes are (n, (n+1)/2) and (n, (n-1)/2) linear codes. We show that all of the properties of duadic and Q-codes generalize. In particular, we extend the results on the relationship of these codes to projective planes with regular automorphism group G. When F has characteristic 2, we give simple numerical conditions on G and F which determine when generalized Q-codes exist. We also give some techniques for constructing these codes.
Scenario-based Synthetic Dataset Generation for Mobile Money Transactions

There is limited availability of mobile money transaction datasets from Sub-Saharan Africa for research because transaction data records are sensitive in nature and therefore raise privacy concerns. This has in turn hindered the potential to study fraudulent patterns in mobile money transactions so as to propose realistic mitigation measures based on Machine Learning Approaches to the prevailing financial fraud challenges in the region. This research presents mobile money scenarios that should be considered in order to implement a simulator that can harness synthetic datasets for mobile money transactions from Sub-Saharan Africa so as to carry out fraud detection research. These scenarios include the definition of a mobile money ecosystem with processes used by actors such as mobile money agents, clients, merchants and banks to interact with each other in mobile money operations. There is also a need for a real mobile money dataset to extract statistical information and diverse fraudulent behaviours of actors and fraud examples in mobile money markets. This research uses the design considerations to examine process-driven techniques such as numerical simulation, agent-based modeling, and data-driven techniques such as neural networks that can be leveraged to generate synthetic datasets for mobile money transactions. Common data generation toolkits like PaySim, AMLSim, RetSim and ABIDES that are based on these techniques have been examined. The design considerations are used to design a realistic model known as MoMTSim based on real mobile money processes and agent-based modeling techniques that can be implemented to generate synthetic transaction datasets for mobile money with fraud instances. This will facilitate fraud detection research. The synthetic datasets eliminate data privacy risks, are easy and faster to obtain, and are cheap to experiment with. With the proposed model, different research groups can move to the implementation stage to realise a model for synthetic data generation for mobile money transactions from the Sub-Saharan region.
Tailor: understanding 3D shapes using curvature Ima-Cnr Technical Report n. 9 / 2001

Tools for the automatic decomposition of a surface into shape features will facilitate the editing, matching, tex-turing,morphing,compression,andsimpli ficationof3Dshapes.Differentfeatures,suchasflats,limbs,tips,pits, and various blending shapes that transition between them may be characterized in terms of local curvature and other differential properties of the surface or in terms of a global skeletal organization of the volume it encloses. Unfortunately, both solutions are extremely sensitive to small perturbations in the surface smoothness and to quantization effects when they operate on triangulated surfaces. Thus, we propose a multi-resolution approach, which not only estimates the curvature of a vertex over neighborhoods of variable size, but also takes into account the topology of the surface in that neighborhood. Our approach is based on blowing a spherical bubble at each vertex and studying how the intersection of that bubble with the surface evolves. For example, for a thin limb, that intersection will start simply connected and will rapidly split into two components. For a point on the tip of a limb, that intersection will usually simply remain connected, but the ratio of its length to the radius of the bubble will be decreasing. For a point on a blend, that ratio will exceed 2 p . We describe an efficientapproachforcomputing these characteristics for a sampled set of bubble radii and for using them to identify features, based on easily formulated f ilters,thatmaycapturetheneedsofaparticularapplication.
Unilateral Loss of Maxillary Molars in Young Mice Leads to Bilateral Condylar Adaptation and Degenerative Disease

The adaptive response of the mandible and temporomandibular joint (TMJ) to altered occlusion in juvenile patients is presently unclear. To address this question, we established a mouse model in which all molars were extracted from the maxillary right quadrant in prepubertal, 3‐week‐old mice and analyzed morphological, tissue, cellular, and molecular changes in the mandible and condyle 3 weeks later. Unilateral loss of maxillary molars led to significant, robust, bilateral changes, primarily in condylar morphology, including anteroposterior narrowing of the condylar head and neck and increased convexity at the condylar surface, as determined by geometric morphometric analysis. Furthermore, both condyles in experimental mice exhibited a degenerative phenotype, which included decreased bone volume and increased mineral density near the condylar head surface compared to control mice. Changes in condylar morphology and mineralized tissue composition were associated with alterations in the cellular architecture of the mandibular condylar cartilage, including increased expression of markers for mature (Col2a1) and hypertrophic (Col10a1) chondrocytes, suggesting a shift toward differentiating chondrocytes. Our results show significant bilateral condylar morphological changes, alterations in tissue composition, cellular organization, and molecular expression, as well as degenerative disease, in response to the unilateral loss of teeth. Our study provides a relatively simple, tractable mouse tooth extraction system that will be of utility in uncovering the cellular and molecular mechanisms of condylar and mandibular adaptation in response to altered occlusion. © 2022 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
Browsing Through OWL Domain Ontologies

— There is a trend to see ontologies not as one big specification of a certain domain but to see it as a network of interrelated units. This paper will propose an approach and a tool, which allows the user to navigate through a network of ontology documents. The user will be supported by two different presentation techniques (graphical visualization and verbalization). Furthermore, s/he will be provided with information about relevant (key) classes and with a textual summary report of the ontology. Apart from the visualization of specific OWL domain ontologies, s/he will also get support for the visualization of the ontology network in which a domain ontology specification is just a unit, which is related to other units. Hence, a tool is introduced, which allows to present ontologies in different ways.
Higher Image Segmentation in Low and High Pass Areas

: This paper describes a new color image segmentation method based on low-level features including color, texture and spatial information. The mean-shift algorithm with color and spatial information in color image segmentation is in general successful, however, in some cases, the color and spatial information are not sufficient for superior segmentation. The method uses wavelet frames that provide translation invariant texture analysis. The method integrates additional texture feature to the color and spatial space of standard mean shift segmentation algorithm. The new algorithm with high dimensional extended feature space provides better results than standard mean shift segmentation algorithm as shown in experimental results.
Automatic Generation of Adjoint Operators for the Lattice Boltzmann Method

—Gradient-based optimization techniques for Computational Fluid Dynamics have been an emerging ﬁeld of research in the past years. With important applications in industrial product design, science and medicine, there has been an increasing interest to use the growing computational resources in order to improve realism of simulations by maximizing their coherence with measurement data or to reﬁne simulation setups to fulﬁll imposed design goals. However, the derivation of the gradients with respect to certain simulation parameters can be complex and requires manual changes to the used algorithms. In the case of the popular Lattice Boltzmann Method, various models exists that regard the effects of different physical quantities and control parameters. In this paper, we propose a generalized framework that enables the automatic generation of efﬁcient code for the optimization on general purpose computers and graphics processing units using symbolic descriptions of arbitrary Lattice Boltzmann Methods. The required derivation of corresponding adjoint models and necessary boundary conditions are handled transparently for the user. We greatly simplify the process of ﬂuid-simulation-based optimization for a broader audience by providing Lattice Boltzmann simulations as automatic differentiable building blocks for the widely used machine learning frameworks Tensorﬂow
FROM “HMMM…” TO “AHA!”: EMOTIONAL MONITORING OF REPRESENTATIONAL CHANGE

glance, consider different Abstract There are two common approaches to researching insight: the study of the emotional response to a solution (Aha! experience) and the study of the restructuring of representations. The relationship between them can be found by comparing functions they perform relative to each other. For the experimental investigation of insight, problems that are typically being used can be solved within a little amount of time and are highly similar in their structure. We believe that such labo-ratory designs of the tasks often lead to researchers missing out on the moments of impasse and initial restructuring of the search space. In the current study, using the method of multimodal corpora constructed from individual solutions, we gained partial confirmation of the key statements of the model of emotional regulation of the representational change. According to the model, an insight solution process is accompanied by emotions regulating the process of representational change. A feeling of impasse is a response to the lack of progress towards the solution. An Aha! experience appears in response to solvers performing actions that bring them a huge step closer to the solution of a problem. We believe that these emotional responses are experienced before the solution reaches consciousness and they motivate the solver to adapt their search space accordingly. The model we propose is a development of the ideas of Ya.A. Ponomarev on the role of emotions in regulating of insight problem solving andmodel of M. Ollinger and colleagues describing the phases of insight problem solving.
Chromosome Conformation Capture (3C) (alternate technique) (PROT31)

This is an alternative protocol for 3C that has been adopted by the author's lab. Much of it is identical to the previous version (PROT5). The major differences are in the amounts of DNA used at different steps. We reliably get the same results as previously, but also a greater yield of 3C material. The original yields are ample for real-time PCR analysis, but greater yields are required if the 3C material is going to be processed further.
Elastin-like recombinamers in collagen-based tubular gels improves their cell-mediated remodelling and viscoelastic properties

1 Laboratory for Biomaterials and Bioengineering, Canada Research Chair I in Biomaterials and Bioengineering for the Innovation in Surgery, Department of Min-Met-Materials Engineering, Research Center of CHU de Québec, Division of Regenerative Medicine, Laval University, Québec, QC Canada G1V 0A6 2 BIOFORGE (Group for Advanced Materials and Nanobiotechnology), CIBERBBN, University of Valladolid, 47011 Valladolid, Spain.