Miracle-dz/UniFAR-FTUs huggingface dataset:
Therapeutic cancer vaccine development: will it ride the wave of new immunomodulatory agents?.

Immunotherapy has gone through some remarkable landmark events over the last couple of years. Perhaps of the most essential importance has been the development of new immunomodulatory agents such as ipilimumab and antiYprogrammed death 1. These monoclonal antibodies mediate innovative immumodulatory mechanisms that overcome inhibitory or suppressive immune mechanisms and restore and maintain effective immune responses. Thus, it is expected that these new molecules can bring significant benefits to the cancer vaccine development field. Such a benefit has recently also been described for interleukin-2 in combination with a peptide vaccine in melanoma patients with advanced disease. It is clear that immunostimulatory strategies and tackling immunosuppressive mechanism are both key and must be addressed both in vaccination and overall immunotherapeutic approaches. Until now, with the noticeable exception of sipuleucel-T vaccine therapy in prostate cancer, no clinically significant impact on survival has been observed as a result of stand-alone therapeutic vaccines. Also of importance in the therapeutic vaccine development has been the anti-tumor activity observed with the administration of long-peptide vaccines against intraepithelial vulvar cancers. However, a number of challenges remain that continue to make the development of effective therapeutic cancer vaccines very difficult. Of greatest importance is the lack of clinical as well as immunomodulatory surrogate endpoints that correlate with survival benefit, even in the prostate cancer vaccine success story. Moreover, the efforts to evaluate vaccines in patients in less advanced stages of tumor have not been very successful thus far. In the adjuvant setting, the experience with a number of phase III trials in melanoma has demonstrated that multiple vaccinations can lead to detrimental outcomes, the mechanisms of which remain to be elucidated to move forward. The concept of immunogenic versus tolerogenic cell death depending of the nature of cytotoxic agents and the new insights in the importance of the composition of immune cell infiltrates in tumors as most significant prognostic factors confirm the key role of the host immune system and outcome of treatment strategies. It recently led to an editorial that suggested to rename the TNM (tumor nodal metastasis) staging system as T&M, where T stands for T cell and M for memory. This issue of The Cancer Journal provides you with a fresh and refreshing update on cancer vaccine development and the progress that has been made to define immunotherapy as a key component of anti-cancer therapy development.
Computability In Context: Computation and Logic in the Real World

Computability has played a crucial role in mathematics and computer science, leading to the discovery, understanding and classification of decidable/undecidable problems, paving the way for the modern computer era, and affecting deeply our view of the world. Recent new paradigms of computation, based on biological and physical models, address in a radically new way questions of efficiency and challenge assumptions about the so-called Turing barrier. This volume addresses various aspects of the ways computability and theoretical computer science enable scientists and philosophers to deal with mathematical and real-world issues, covering problems related to logic, mathematics, physical processes, real computation and learning theory. At the same time it will focus on different ways in which computability emerges from the real world, and how this affects our way of thinking about everyday computational issues. The list of contributors includes: S Abramsky, P Adriaans, M Agrawal, M Arslanov, G Ausiello, J Diaz, Y Ershov, G Longo, W Maass, I Nemeti, A Nerode, D Normann, G Odifreddi, M Rathjen, G Rozenberg, M Vardi, and P Welch.
Urban Green Space Accessibility in Ilorin City, Nigeria

Urban green space (UGS) is a very important determinant of social and environmental fairness. Many developing countries are faced with a dearth of public green spaces and Ilorin in Nigeria is no exception. Despite the numerous benefits of these facilities, they are still the target of encroachment by other land uses. The study assesses green space distribution in Ilorin City, using the World Health Organization (WHO) standard indicators to evaluate its accessibility and availability. The primary instruments used are the Geographic Information System (ArcMap 10.3), Google Earth Engine (GEE), and administrative shapefiles of Ilorin West and South Local Government Areas. The results show that UGS is inadequate and only one out of the fourteen wards in the city meets the WHO 9m2green space standard and also offers 64.2 percent public access within a 300m distance radius. This result implies that Ilorin is not developing along the path of sustainability since the dearth of green space predisposes its inhabitants to immense danger. A recommendation was made for the design of a comprehensive green space master plan for the city. This shall put a check on the city's growth to foster sustainable development.
Development and external validation of prognostic nomograms for liver disease-free and overall survival in locally advanced rectal cancer with neoadjuvant therapy: a post cohort study based on the FOWARC trial

Background There is still a lack of nomograms that can accurately predict liver metastasis and poor prognosis after neoadjuvant therapy for locally advanced rectal cancer (LARC). Effective nomograms may help clinicians better identify LARC patients with potential high-risk risks, so as to carry out more targeted monitoring, treatment and follow-up. Methods The nomograms were based on the FOWARC trial (NCT01211210), which included 302 LARC patients who underwent neoadjuvant treatment before surgery at the Sixth Affiliated Hospital of Sun Yat-sen University from 2011 to 2014. The predictive accuracy and discriminative ability of the nomograms were determined by the concordance index (C-index) and calibration curve. The results were validated using bootstrap resampling and a prospective study on 100 patients in 2017. Results The 3-year liver disease-free survival (LDFS) rate after neoadjuvant treatment for LARC was 91.65% (training cohort 92.22%, validation cohort 90.01%). Factors associated with LDFS were hepatitis B virus (HBV) infection, anemia, lymph node number, postoperative T stage and tumor nodule, which were all included in the nomogram for LDFS. The C-indies of the nomogram for LDFS were 0.828 and 0.845 in the training and validation cohorts. The 3-year overall survival (OS) rate was 94.14% (training cohort 94.13%, validation cohort 94.05%). Factors in the nomogram for OS were mesorectal fascia involvement (MRF), postoperative N stage, pathological differentiation, tumor nodule and neural invasion. The C-indies of the nomogram for predicting OS were 0.73 and 0.774 in the training and validation cohorts. The calibration curve for the survival probability showed good agreement between the nomogram predictions and the actual observations. Conclusions The nomograms established in this study can effectively predict LDFS and has good clinical application potential for OS in LARC patients treated with neoadjuvant therapy.
Phytochemical and Safety Evaluations of Finger Lime, Mountain Pepper, and Tamarind in Zebrafish Embryos

Plants play a pivotal role in drug discovery, constituting 50% of modern pharmacopeia. Many human diseases, including age-related degenerative diseases, converge onto common cellular oxidative stress pathways. This provides an opportunity to develop broad treatments to treat a wide range of diseases in the ageing population. Here, we characterize and assess the toxicological effects of finger lime (Citrus australasica), mountain pepper (Tasmannia lanceolata), and small-leaved tamarind (Diploglottis australis) extracts. The characterization demonstrates that these Australian native plants have antioxidant potential and, importantly, they have high concentrations of distinct combinations of different antioxidant classes. Using zebrafish larvae as a high-throughput pre-clinical in vivo toxicology screening model, our experiment effectively discriminates which of these extracts (and at what exposure levels) are suitable for development towards future therapies. The LC50-96h for finger lime and tamarind were >480 mg/L, and 1.70 mg/L for mountain pepper. Critically, this work shows that adverse effects are not correlated to the properties of these antioxidants, thus highlighting the need for combining characterization and in vivo screening to identify the most promising plant extracts for further development. Thus, we present a high-throughput pre-clinical screening that robustly tests natural plant products to utilize the diversity of antioxidant compounds for drug development.
The Role of Forensic Investigation in an Unusual Case of Patricide by a Schizophrenic Woman Involving Dismemberment of a Decomposed Body

Dismemberment is characterized by the fragmentation of the body into anatomical sections. It can occur because of a murder, suicide, or accident. In the literature, there are no cases of patricide perpetrated by a daughter in which the offender performed the dismemberment. However, in this paper, we reported a case of patricide by a schizophrenic daughter that was not treated with antipsychotic therapy. Post-mortem Computed Tomography (PMCT), autopsy, and histological examinations were performed. The soft tissues were removed through maceration techniques and chemical treatment. An analysis was performed to study the bone margins and clarify the weapon and manner of death. This investigation, which used radiological and histological studies, helped to assess the vitality of the injuries. The purpose of the study is to discover the weapon used, the cause, and the manner of death, with particular interest in this case due to the dismemberment. Moreover, we emphasize the correlation between patricide, dismemberment, and a lack of antipsychotic treatment in patients with schizophrenia.
Benefits and Obstacles in Using Computational and Interactive Technologies in Education. an Insight From Teacher's Perspective (a Study on Bangkok Metropolitan Administration Schools)

Child-Computer Interaction (CCI) is a growing sub-field of Human-Computer Interaction (HCI). It concerns phenomena surrounding the interaction between children and computational and communication technologies. Presently, there is a shortfall of empirical studies for establishing a solid design framework for children educational products. This study aims to be an initial step for future empirical research to establish a framework for the design of educational products for children. The study examined the use of computational and interactive technologies in primary and lower secondary levels in Thai schools. In-depth interview was carried out with six teachers from four schools. The results substantiated that the use of technologies had benefits on the students at all levels. Several computational and interactive technologies were found to be used in the education, and mobile devices were the primary source that the students used to access electronic information outside the classroom. Using interactive technologies helped promoting in-class motivation, and helps reducing barrier between teachers and students. Peer-assisting behavior was prevalent among the students. Several obstacles have been addressed by the informants. Some of them were caused by students‘ behaviors. S ome were related to hardware, infrastructure, and classroom layout. Some of the problems were related to language incompetence.
SURVEY ON CAR DETECTION IN LIVE VIDEO INCORPORATED WITH MACHINE INTELLIGENCE

In this research focuses on HOG and SVM algorithm allowing further insights into their internal operation. After giving a brief introduction to HOG Algorithm in detail. The Second section introduces the different type of SVM. To increase accuracy of feature extraction we include zero order and second order gradient.SVM algorithm intend of HOG algorithm because HOG algorithm have some limitation to detect object it is mainly used for detecting human or vehicle while SVM is higher than HOG algorithm in which we can detect human as well as vehicle.
Canonical correlations between high and low heritability wheat traits via mixed models

ABSTRACT: Canonical correlation analysis based on genotypic correlations allows determining the associations between groups of traits and carrying out the direct or indirect selection of superior genotypes. This study investigated the existence of linear and multivariate relationships between high and low heritability traits via canonical correlation analysis based on genotypic correlations. The experiment was conducted at the Professor Diogo Alves de Melo Experimental Field at the Universidade Federal de Viçosa, in Viçosa, MG. 90 wheat cultivars were evaluated under a 9 × 10 alpha-lattice design, with three replications and plots consisting of four rows of three meters spaced at 0.20 meters. Canonical groups were established between spike height and plant height, days for heading, number of spikelets per spike, and number of grains per spike (Group I) and, spike weight, spike grain mass, 100-grain mass, hectoliter weight, and grain yield (Group II). There was dependence between the established groups, which allowed the investigation of the relationships between traits based on their genotypic values. The traits cycle and plant height can be used for indirect selection of genotypes superior in hectoliter weight and grain yield, which are important factors for industries and farmers.
The complex relationship between leadership and gendered experiences: as and with

ABSTRACT Leadership, whether through response, composition, representation, or direction, reflects a complex relationship with gender in the military. The findings of this qualitative study highlighted the profound and complex relationship between leadership and gendered experiences within the military in a variety of facets including within various ranks, from superiors, subordinates, and peers, as well as both as and with leaders. This includes considerations, or lack thereof, for issues pertaining to representation, voice, gender bias, stereotyping, and intersectionality in addition to the significant and prominent issues of sexual misconduct. Military leadership development efforts, both at large and for women in particular, must reflect the pivotal role which leadership plays while simultaneously acknowledging the unique cultural and contextual environment of the military. In addition to continued efforts to encourage and enable women’s military service and leadership, military and civilian leadership, regardless of gender, should be cognizant of the magnitude of leader roles and responsibilities pertaining to gender.
Enhanced Radiative Recombination Rate by Local Potential Fluctuation in InGaN/AlGaN Near-Ultraviolet Light-Emitting Diodes

We investigate the differences in optoelectronic performances of InGaN/AlGaN multiple-quantum-well (MQW) near-ultraviolet light-emitting diodes by using samples with different indium compositions. Various macroscopic characterizations have been performed to show that the strain-induced piezoelectric field (FPZ), the crystal quality, and the internal quantum efficiency increase with the sample’s indium composition. This improved performance is owing to the carrier recombination at relatively defect-free indium-rich localized sites, caused by the local in-plane potential-energy fluctuation in MQWs. The potential-energy fluctuation in MQWs are considered to be originating from the combined effects of the inhomogeneous distribution of point defects, FPZ, and indium compositions.
Untargeted Metabolomics Studies of H9c2 Cardiac Cells Submitted to Oxidative Stress, β-Adrenergic Stimulation and Doxorubicin Treatment: Investigation of Cardiac Biomarkers

One of the biggest challenges in the search for more effective treatments for diseases is understanding their etiology. Cardiovascular diseases (CVD) are an important example of this, given the high number of deaths annually. Oxidative stress (the imbalance between oxidant and antioxidant species in biological system) is one of the factors responsible for CVD occurrence, demanding extensive investigation. Excess of reactive oxygen species (ROS) are primarily responsible for this condition, and clinical and scientific literature have reported a significant increase in ROS when therapeutic drugs, such as doxorubicin and isoproterenol, are administered. In this context, the aim of this study is the investigation of potential biomarkers that might be associated with oxidative stress in cardiomyocytes. For this purpose, H9c2 cardiomyocytes were submitted to oxidative stress conditions by treatment with doxorubicin (DOX), isoproterenol (ISO) and hydrogen peroxide (PER). Metabolomics analyses of the cell extract and the supernatant obtained from the culture medium were then evaluated by CE-ESI(+)-TOF-MS. Following signal processing, statistical analyses, and molecular features annotations, the results indicate changes in the aspartate, serine, pantothenic acid, glycerophosphocholine and glutathione metabolism in the cell extract.
The Trade-Offs between Optimality and Feasibility in Online Routing with Dedicated Path Protection in Elastic Optical Networks

The article discusses an online problem of routing and spectrum allocation with dedicated path protection in elastic optical networks. We propose three novel algorithms to solve this problem. The first of them is the minimum-cost–maximum-flow heuristic algorithm, which calculates the solution assuming that the spectrum units on the working and dedicated backup path are the same. Such an assumption, on the one hand, increases the bandwidth blocking probability; however, on the other hand, it enables a simple, cheap and fast way to connect customers to the network during the implementation phase of elastic optical networks. The next two algorithms, which determine the exact solutions, are based on the branch and bound method. The first calculates the working and dedicated backup paths with the minimum total occupied bandwidth, called the total cost, while the second calculates the paths with the minimum total length. These algorithms enable the performance evaluation of the proposed heuristic algorithm and provide the answer as to what should be optimized, the total cost or the total length of paths, in order to minimize the bandwidth blocking probability. Extensive simulation research has shown that the proposed heuristic algorithm can be used in elastic optical networks, but with a small network load. Moreover, it is shown that the optimization of the total cost of paths provides a slightly lower blocking probability than the optimization of the total length of paths.
Magnetoacoustic Wave Scattering and Dynamic Stress Concentration around the Elliptical Opening in Exponential-Gradient Piezomagnetic Materials

Based on the theory of magnetoacoustic coupled dynamics, the purpose of this paper is to evaluate the dynamic stress concentration near an elliptical opening in exponential-gradient piezomagnetic materials under the action of antiplane shear waves. By the wave function expansion, the solutions for the acoustic wave fields and magnetic fields can be obtained. Stress analysis is performed by the complex function method and the conformal mapping method, which are used to solve the boundary conditions problem, and is used to express the dynamic stress concentration coefficient (DSCC) theoretically. As cases, numerical results of DSCCs are plotted and discussed with different incident wave numbers and material parameters by numerical simulation. Compared with circular openings, elliptical openings are widely used in material processing techniques and are more difficult to solve. Numerical results show that the dynamic stress concentration coefficient at the elliptical opening is strongly dependent on various parameters, which indicates that the elliptical opening is more likely to cause crack and damage to exponential-gradient piezomagnetic materials.
An Automatic Design Procedure for Low-order IIR Parametric Equalizers

Parametric equalization of an acoustic system aims to compensate for the deviations of its response from a desired target response using parametric digital filters. An optimization procedure is presented for the automatic design of a low-order equalizer using parametric infinite impulse response (IIR) filters, specifically second-order peaking filters and first-order shelving filters. The proposed procedure minimizes the sum of square errors (SSE) between the system and the target complex frequency responses, instead of the commonly used difference in magnitudes, and exploits a previously unexplored orthogonality property of one particular type of parametric filter. This brings a series of advantages over the state-of-the-art procedures, such as an improved mathematical tractability of the equalization problem, with the possibility of computing analytical expressions for the gradients, an improved initialization of the parameters, including the global gain of the equalizer, the incorporation of shelving filters in the optimization procedure, and a more accentuated focus on the equalization of the more perceptually relevant frequency peaks. Examples of loudspeaker and room equalization are provided, as well as a note about extending the procedure to multi-point equalization and transfer function modeling.
Rail surface spalling detection based on visual saliency

The rail surface images captured by line‐scan cameras are susceptible to nonuniform illumination, stray light, smoothness variations of the rail surface, and so on, which degrade the detection accuracy of the rail surface spalling. To solve this problem, we propose an optical rail surface spalling detection algorithm based on visual saliency. First, the rail surface area is located to eliminate the interference of the surrounding area. Then, a two‐dimensional difference of Gaussian (2D DoG) filter is used to reduce the noise. The filtered images are processed by means of a block local contrast measure (BLCM) estimator, which enhances the contrast of the spalling areas and produces the saliency map. Finally, a threshold is applied to locate the spalling areas. Experimental results demonstrate that the proposed algorithm achieves a detection accuracy of 93.5% and shows good robustness under nonuniform illumination and various rail surface smoothness conditions. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
The Influence of Socio-demographics Background on the Driving Behavior: A Short Review

Reckless driving behavior might result in a higher risk of an accident. Many factors are known to be the cause of this driving behavior. One of the factors is the socio-demographic background of the driver. This study aims to review currently available literature that investigates the relationship between driving behavior and any known socio-demographic characteristics. The review also focuses on the method used in the data collection as well as the tools used to perform the analysis to correlate the driving behavior and socio-demographic background. The review found that the influence of socio-demographic background on driving behavior study has not been explored in detail especially from the ethnicity point of view. With regards to the data collection, most of the study utilised the self- report survey, in which the targeted respondents are young adults. There are also studies covering all age groups that made use of the Driving Behaviour Questionnaire, data of traffic accidents or police reports, and virtual reality to collect the data. SAS/STAT statistical software package was found to be a popular choice among researchers when analyzing the data. This review concludes that driving behavior study in the multi-racial country for instance in Malaysia should explore further the relationship between driving behavior and socio-demographic background, especially from the ethnic perspective.