Miracle-dz/UniFAR-FTUs huggingface dataset:
A Prostate Cancer Proteomics Database for SWATH-MS Based Protein Quantification

Simple Summary Prostate cancer is the third most frequent cancer in men worldwide, with a notable increase in prevalence over the past two decades. The PSA is the only well-established protein biomarker for prostate cancer diagnosis, staging, and surveillance. It frequently leads to inaccurate diagnosis and overtreatment since it is an organ-specific biomarker rather than a tumour-specific biomarker. As a result, one of the primary goals of prostate cancer proteome research is to identify novel biomarkers that can be used with or instead of PSA, particularly in non-invasive blood samples. Thousands of peptides or assays were detected in blood samples from patients with low- to high-grade prostate cancer and healthy individuals, allowing data processing of sequential window acquisition of all theoretical mass spectra (SWATH-MS). By assisting in the detection of prostate cancer biomarkers in blood samples, this useful resource will improve our understanding of the role of proteomics in prostate cancer diagnosis and risk assessment. Abstract Prostate cancer is the most frequent form of cancer in men, accounting for more than one-third of all cases. Current screening techniques, such as PSA testing used in conjunction with routine procedures, lead to unnecessary biopsies and the discovery of low-risk tumours, resulting in overdiagnosis. SWATH-MS is a well-established data-independent (DI) method requiring prior knowledge of targeted peptides to obtain valuable information from SWATH maps. In response to the growing need to identify and characterise protein biomarkers for prostate cancer, this study explored a spectrum source for targeted proteome analysis of blood samples. We created a comprehensive prostate cancer serum spectral library by combining data-dependent acquisition (DDA) MS raw files from 504 patients with low, intermediate, or high-grade prostate cancer and healthy controls, as well as 304 prostate cancer-related protein in silico assays. The spectral library contains 114,684 transitions, which equates to 18,479 peptides translated into 1227 proteins. The robustness and accuracy of the spectral library were assessed to boost confidence in the identification and quantification of prostate cancer-related proteins across an independent cohort, resulting in the identification of 404 proteins. This unique database can facilitate researchers to investigate prostate cancer protein biomarkers in blood samples. In the real-world use of the spectrum library for biomarker detection, using a signature of 17 proteins, a clear distinction between the validation cohort’s pre- and post-treatment groups was observed. Data are available via ProteomeXchange with identifier PXD028651.
Putting the “T” in IT

Premier Beverages (owner of Typhoo tea) is working with systems integrator Pacific Systems International to improve systems availability on AS/400 platforms. The Robot suite of automated operations software was installed to reduce the manning costs of moving from ten‐hour to 24‐hour‐a‐day operations. Automated job scheduling, message management, alerts and other aspects of automated systems management have been covered by the Robot suite, leveraging Premier’s IT investment.
Prospects and Refuges Re-Visited

This article is a review of the first ten years of “prospect-refuge theory. ” It discusses briefly the purposes and limitations of simple explanatory models and compares the theory specifically with the “Davisian cycle. ” It identifies certain misconceptions about the theory and reviews some of the attempts that have been made to test it and to use it in landscape evaluation and landscape description and in literary and art criticism.
Associations between Child and Family Level Correlates and Behavioural Patterns in School-Aged Children

Identifying correlates of behavioural patterns are important to target population sub-groups at increased health risk. The aim was to investigate correlates of behavioural patterns comprising four behavioural domains in children. Data were from the HAPPY study when children were 6–8 years (n = 335) and 9–11 years (n = 339). Parents reported correlate and behavioural data (dietary intake, physical activity, sedentary behaviour, and sleep). Behavioural data were additionally captured using accelerometers. Latent profile analysis was used to derive patterns. Patterns were identified as healthy, unhealthy, and mixed at both time points. Multinomial logistic regression tested for associations. Girls were more likely to display healthy patterns at 6–8 years and display unhealthy and mixed patterns at 9–11 years than boys, compared to other patterns at the corresponding ages. Increased risk of displaying the unhealthy pattern with higher age was observed at both timepoints. At 9–11 years, higher parental working hours were associated with lower risk of displaying mixed patterns compared to the healthy pattern. Associations observed revealed girls and older children to be at risk for unhealthy patterns, warranting customisation of health efforts to these groups. The number of behaviours included when deriving patterns and the individual behaviours that dominate each pattern appear to be drivers of the associations for child level, but not for family level, correlates.
Smart base‐isolated benchmark building Part III: a sample controller for bilinear isolation

This paper presents a sample control design for the base‐isolated benchmark building with bilinear hysteretic bearings (e.g. lead–rubber bearings). Since there is no well‐defined control strategy for nonlinear structures, and available linear strategies are well‐known among the civil engineering community, a linear quadratic Gaussian (LQG) controller is selected for this purpose. To utilize an LQG controller, a linearized model of the nonlinear structure is required. A good linearized model, however, should be able to represent the nonlinear structure responses when both are controlled. It is shown that design problems of an equivalent linear model and an LQG controller are not, in fact, independent and require one for the other. In this study, the LQG controller is designed based on some parametric studies, and an iterative method is proposed for the development of an equivalent linear model. In the iterative method, the equivalent linear model is formed by replacing the nonlinear isolation elements that have bilinear stiffness and zero damping in the benchmark structure with a linear stiffness and a linear damping. Here, the linear stiffness is determined in the iterative method such that the RMS force of the bilinear isolation elements in the controlled (nonlinear) benchmark structure is equivalent to that of the corresponding isolation elements in the equivalent linear model. The overall approach is applied to the benchmark structure for seven historical earthquake ground acceleration data, and both an LQG controller and an equivalent linear model are obtained. The numerical simulations show that the equivalent linear model successfully replicates the nonlinear response, and the controller is able to improve the overall performance. As the final designs are not intended to be competitive, the method proposed can be improved in several ways to obtain better results. While the equivalent linear model developed herein may be used as a starting point in studying this benchmark problem, because of the strong interaction between controller and equivalent linear model, the participants of the base isolation benchmark problem are strongly encouraged to develop their own controller‐specific equivalent linear models. Copyright © 2005 John Wiley & Sons, Ltd.
Management of ankle valgus in a skeletally immature patient by tension band plate hemiepiphysiodesis: A case report

Temporary hemiepiphysiodesis is the procedure of choice to correct ankle valgus deformity in a skeletally immature patient. However, the literature is inconclusive regarding the ideal choice of implant and the timing of the surgery. In the current case report, a 9-year-old girl with multiple hereditary exostoses and unilateral ankle valgus deformity underwent tension band plate (TBP) hemiepiphysiodesis, and gained a modest correction at a rate of 0.61°/month. After 18 months of follow-up, there were no implant-related complications, and the functional outcome was also good. This case report shows a promising result of medial malleolar temporary hemiepiphysiodesis using a TBP for ankle valgus deformity in the pediatric population.
Cell-to-Cell Interactions Mediating Functional Recovery after Stroke

Ischemic damage in brain tissue triggers a cascade of molecular and structural plastic changes, thus influencing a wide range of cell-to-cell interactions. Understanding and manipulating this scenario of intercellular connections is the Holy Grail for post-stroke neurorehabilitation. Here, we discuss the main findings in the literature related to post-stroke alterations in cell-to-cell interactions, which may be either detrimental or supportive for functional recovery. We consider both neural and non-neural cells, starting from astrocytes and reactive astrogliosis and moving to the roles of the oligodendrocytes in the support of vulnerable neurons and sprouting inhibition. We discuss the controversial role of microglia in neural inflammation after injury and we conclude with the description of post-stroke alterations in pyramidal and GABAergic cells interactions. For all of these sections, we review not only the spontaneous evolution in cellular interactions after ischemic injury, but also the experimental strategies which have targeted these interactions and that are inspiring novel therapeutic strategies for clinical application.
Summary of RTCA SC-159 GPS Integrity Working Group activities

Working Group 5 of RTCA Special Committee (SC )-159 has spent the past several years working on the problem of GPS fault detection and exclusion (FDE) for a primary-means navigation system that can support oceanic en route through nonprecision approach modes of flight. The results of this working group's activities have been incorporated into RTCA/DO-229, Minimum Operational Performance Standards (MOPS) for GPS/WAAS Airborne Equipment, and will also serve as a baseline for the GPS/GLONASS and GPS/INS MOPS. The purpose of this paper is to provide a history of the development of the FDE requirements, algorithms, and test procedures, as well as a summary of the main issues addressed by the GPS Integrity (FDE) Working Group.
All-optical switching behaviors in an all-semiconductor nonlinear loop device

Feasibility of pulsed-signal operation of all-optical self-switching and cross switching in an all-semiconductor optical-amplifier nonlinear optical loop device is reported. The device, based on a GaAs/AlGaAs quantum-well epitaxial structure, has dimensions of 0.6 mm×1.3 mm and a latency of 49.2 ps. It is composed of a loop amplifier, a multimode interference waveguide amplifier (MMIWA), an input leg, and an output leg. The functions of the MMIWA include input/output power splitting and nonlinear coupling. Those of the loop include signal amplification, rearrangement of the field distribution in the MMIWA, and asymmetric gain/phase modulation between the two counterpropagating signals. With these functions combined, quite efficient power-dependent switching was implemented. Numerical-simulation results agreed well in trends with experimental data. From the results of output pulse width and the pump–probe measurements, it is expected that high-speed operation of the device for all-optical modulation and multiplexing/demultiplexing is feasible.
Comparison of the Calculated and Experimentally Measured Values of Settlement and Stress State of Concrete Slab on Subsoil

At the Faculty of Civil Engineering VSB TU Ostrava testing device was constructed so that the phenomena of soil foundation interaction could be experimentally investigated and compared with numerical models. Results of experimental loading test are compared with soil foundation interaction analysis based on finite element method (FEM). The stress strain analysis of elastic halfspace by means of Gauss numerical integration and Jacobean of transformation is presented here. The arbitrary shape and general course of the loaded area in nodal points is allowed by use of 4-and 8-node isoparametric elements, numerical integration and Jacobean transformation. The objective of this paper is also improving and developing the soil-structure interaction analysis based on the experimental results and FEM.
Development of Crash Reduction Factors: Methods, Problems, and Research Needs

Crash reduction factors (CRFs) are used in highway safety studies to predict safety benefits due to reduced numbers of crashes. NCHRP Report 162 identified the need for the development of a national comprehensive set of CRFs for each state to evaluate safety improvements. However, this need has not been met. As a result, many states have developed their own CRFs or have adopted CRFs from other states. A synthesis of the CRF development methods, the associated problems, and the research needs are provided. The emphasis is placed on the before-and-after study method because it has been, and still is, the method of choice for CRF development. Three before-and-after study methods were introduced and reviewed: (a) the simple before-and-after method, (b) the before-and-after study with comparison group method, and (c) the before-and-after study with the empirical Bayes method. The problems associated with the simple before-and-after studies, including regression to the mean, crash migration, maturation, and external causal factor, are discussed. Several research needs related to crash migration and general CRF development are also identified. The information presented in the synthesis will be useful to states that plan to develop or update their CRFs.
Detecting process non-randomness through a fast and cumulative learning ART-based pattern recognizer

An adaptive resonance theory (ART) based, general-purpose control chart pattern recognizer (CCPR) which is capable of fast and cumulative learning is presented. The implementation of this ART-based CCPR was made possible by introducing two key alternatives, that is, incorporating a synthesis layer in addition to the existing two-layer architecture and adopting a quasi-supervised training strategy. i A detailed algorithm with the training and the testing modes was presented. Extensive simulations and performance evaluations were conducted and proved that this ART-based CCPR indeed possesses the capability of fast and cumulative learning. When compared with a back-propagation pattern recognizer (BPPR), the ART-based CCPR is superior on cyclic patterns, inferior on mixture patterns, and comparable on other patterns. Furthermore, an ART-based CCPR is easier to develop since it needs fewer training templates and takes less time to learn. This study not only provides a basis for understanding the capabilities o.
Shear wave velocity by support vector machine based on geotechnical soil properties

Shear wave velocity ( V S ) is a basic engineering property implemented in evaluating the soil shear modulus. In many instances it may be preferable to determine V S indirectly by common in-situ tests, such as the Standard Penetration Test (SPT). In this paper, the relationship between V S and geotechnical soil parameters such as standard penetration test blow counts ( N 160 ), effective stress and fines content, as well as overburden stress ratio (σ vo /σ ′ vo ), is investigated. A new mode based on support vector machine (SVM) approach is proposed to correlate geotechnical parameters and V S , predicated on a total of 620 data sets, including field investigation records for the Kocaeli (Turkey, 1999) and Chi-Chi (Taiwan, 1999) earthquakes. This study addresses the question of whether Support Vector Machine (SVM) approach should be used to estimate V S based on the specified geotechnical variables, and assessing the influence of each variable on V S . Results revealed that SVM, in comparison to previous statistical relations, provides an effective means of efficiently recognizing the patterns in data and accurately predicting the V S .
Risk factors of elevated blood ammonia level in epilepsy patients treated with lamotrigine

AbstractThe aim of this study was to explore the effect of lamotrigine (LTG) on blood ammonia level in patients with epilepsy and identify risk factors affecting blood ammonia level. This study included 91 epilepsy patients who were treated with LTG at Department of Neurology, Zhongshan Hospital, Xiamen University from January 2011 to April 2016, and were followed up for 3 years. Blood samples were taken during the interictal state and analyzed for blood LTG and ammonia levels. Total of 46.1% of the samples exceeded the median blood ammonia level, and 2.1% of patients had hyperammonemia. Blood ammonia level was positively correlated with LTG blood concentration. LTG combined with valproic acid therapy, seizure within 1 year, and elevated neutrophils affected blood ammonia level. Blood ammonia level was significantly correlated with plasma concentration of LTG. LTG combined with valproic acid therapy, seizure within 1 year, and elevated neutrophils may be risk factors for elevated blood ammonia level in epilepsy patients treated with LTG.
Effects of Different Biodiesel-Diesel Blend Fuel on Combustion and Emission Characteristics of a Diesel Engine

In this paper, biodiesel was used as an alternative fuel to investigate the combustion and emission characteristics of a four-stroke diesel engine, in terms of cylinder pressure, heat release rate, cylinder temperature, brake thermal efficiency, brake specific fuel consumption, nitrogen oxide, soot, carbon monoxide, and hydrocarbon. Firstly, a diesel engine cylinder model was developed by AVL-Fire software coupled with CHEMKIN code to simulate the injection and combustion of biodiesel with a kinetic mechanism with 106 species and 263 reactions. Then, the simulation model was validated by experimental results under 100% and 50% load conditions and used to simulate the combustion process of a diesel engine fueled with pure diesel, biodiesel, and biodiesel–diesel blends with 10%, 20%, 30% biodiesel by volume, respectively. The results showed that the brake specific fuel consumption increased with the increase of mixed biodiesel ratio. The brake specific fuel consumptions of B10, B20 and B30 increased by 1.1%, 2.3% and 3.3%, respectively, compared with that of D100. The combustion and emission characteristics of the diesel engine are improved. Therefore, biodiesel can be used as an alternative fuel for the diesel engine. The diesel–biodiesel fuel can improve the combustion and emission characteristics of the diesel engine.
Calculations of diversified harmonic currents in electric distribution systems

A comprehensive analysis of the characteristics of distribution-system harmonics is provided. This analysis leads to the formulation of harmonic diversity factor tables. These tables give a reliable estimate of harmonic currents in distribution feeders and enable the engineers to determine the amount of background distortion of the voltage waveform. The use of the proposed tables will ease the computational difficulties in performing distribution system harmonic studies. Both deterministic and probabilistic methods were integrated in the conducted analysis in this paper to generate the diversity factor tables. The proposed method and the analysis results are presented in detail.
Effect of Aegle Marmelos Hydroethanolic Leaf Extract on Expression of Antiapoptotic Markers in Human Melanoma Cells

Background: Aegle marmelos commonly known as Bael is a herbal plant. Itis from a family called Rutaceae. It has many medicinal uses: anti-diarrheal, anti- microbial, anti-viral, anti-cancer, chemo-preventive, Ulcer healing and many others. Aim: To study the effect of Aegle marmelos hydroethanolic leaf extract on expression of antiapoptotic markers in human melanoma cells. Objective: The present study investigated the effect of Aegle marmelos hydroethanolic leaf extract on expression of antiapoptotic markers in human melanoma cells. Materials and Methods: DMSO and MTT chemicals were purchased from Sigma chemical Pvt Ltd. Trypsin EDTA, FBS, RPMI 1640 medium and PBS, Real time PCR kit was purchased from Canada. Human melanoma cell line (A375) was purchased from NCCS, Pune, India. Results: The data was analysed statistically by ANOVA and Duncan’s multiple range test with a computer based software (Graph Pad Prism version 5). The percentage of cell viability decreases with the increase in dosage of Aegle marmelos leaf extract. Conclusion: The study concluded that Aegle marmelos hydro ethanolic leaf extract a novel and innovative herbal drug has a significant effect on the expression of antiapoptotic markers in human melanoma cell lines.
ScratchGAN: Network representation learning for scratch with preference‐based generative adversarial nets

With the rapid increase of users, Scratch, as a popular online social and programming platform, has accumulated massive project resources and complex relations across its social and programming learning network. However, it is challenging to utilize the network information for providing Scratch users with personalized services, despite there are already some useful network representation learning models. In this paper, a network representation learning model with preference‐based generative adversarial nets for Scratch (ScratchGAN) is proposed to resolve this problem. In ScratchGAN, we first design a node‐vector initialization approach to preserve structure information and side information of Scratch network. Then, considering to learn the fine‐grained user preference information of network, we propose a novel Scratch adversarial learning model which includes a Scratch generative adversarial net and a user preference difference constraint component. The former aims to capture user preferences through a new generating strategy based on the delivery nature of preference. The latter attempts to embed users' detailed preference differences according to their interaction behaviors. ScratchGAN can mine user preferences while preserving network structure information and side information. Extensive experiments on the Scratch network show that ScratchGAN outperforms other state‐of‐the‐art models in link prediction and recommendation tasks.
Application of Artificial Neural Network and Genetic Programming in Modeling and Optimization of Ultraviolet Water Disinfection Reactors

Ultraviolet (UV) disinfection is an environmental-friendly technology for water treatment. However, design and operation of UV disinfection reactors are very difficult without a good model. In this work, two modeling methods, Artificial Neural Network (ANN) and Genetic Programming (GP), were applied to model UV water disinfection reactors. The model training data were obtained from simulation using Computational Fluid Dynamics (CFD) software. The accuracy of these two modeling methods was compared based on modeling error as well as generalization ability for new inputs. The ANN and GP models were then used to determine optimal design and operating variables of UV disinfection process, using multi-objective optimization. Selected Pareto-optimal solutions were compared using CFD simulations, and the results are presented and discussed in this paper.
Squarewave generators employing OTRAs

Two squarewave generators consisting of only one operational transresistance amplifier and minimum external passive elements are presented. The first circuit is a general multivibrator that can produce an approximately symmetrical squarewave with a fixed duty cycle and a variable frequency. The second one can further independently control the on- and off-duty cycles of a squarewave by adjusting the values of the passive elements. These proposed squarewave generators are described and analysed. The experimental results and the recorded waveforms confirm the theoretical analysis and verify the feasibility of the presented schemes.