Miracle-dz/UniFAR-FTUs huggingface dataset:
Long-Term Survival by Resection and Adjuvant Chemotherapy With S-1 in Pancreatic Signet Ring Cell Carcinoma: a Case Report With Literature Review

Background: Signet ring cell carcinoma (SRCC) of the pancreas is a very rare histologic variant of pancreatic carcinoma with very poor prognosis. We present a case of pancreatic SRCC with good prognosis achieved by resection and adjuvant chemotherapy with S-1 one year, which is the standard treatment for advanced resected gastric cancer in Japan. The stomach carried a higher incidence of SRCC than other sites.Case presentation: A 70-year-old man presented with abdominal discomfort, and ultrasonography revealed a mass in the pancreas. Computed tomography showed a hypovascular tumor in the head of the pancreas, 51 mm in diameter, with invasion to the portal vein and duodenum. The patient underwent pancreaticoduodenectomy (PD) with portal vein resection and reconstruction. The pathological diagnosis was SRCC of the pancreas without invasion to the portal vein, pT3N1M0 Stage IIB (UICC classification). Subsequently, postoperative adjuvant chemotherapy with S-1 was initiated to prevent recurrence. The patient has remained recurrence-free for 2 years and 6 months after PD. Conclusion: Adjuvant chemotherapy with S-1 may be an important factor for improving the prognosis of patients with resectable SRCC of the pancreas.
A Multiport Partial Power Processing Converter With Energy Storage Integration for EV Stationary Charging

Battery storage system (BSS) integration in the fast charging station (FCS) is becoming popular to achieve higher charging rates with peak-demand shaping possibility. However, the additional conversion stage for integrating the BSS increases the system losses, size, and cost. The concept of a partial power processing converter (PPPC) can mitigate this effect. Compared to conventional used full power processing converter (FPPC), PPPC reduces the amount of transferred power from the BSS to the electric vehicle (EV) by the converter. As a consequence, the power losses generated by the converter are reduced, leading to lower sized converters and higher system efficiencies. This article proposes a dc/dc multiport converter that allows the integration of battery storage in FCS based on a partial power processing concept while maintaining the specific requirements in terms of isolation for FCS. The proposed three-port partial power processing converter (3P-PPPC) is derived from the commonly used triple active bridge (TAB) converter. The resulting design tradeoffs, the dynamic behavior, and limitations of the topology are investigated. Furthermore, the round-trip efficiency of the 3P-PPPC for integrating BSS in FCS is compared with conventional FPPC solutions, highlighting the superiority of the proposed topology. A prototype has been built to validate the 3P-PPPC.
Adaptive Reputation Promotes Trust in Social Networks

Trust has played a pivotal role in the evolution of modern human societies, and it continues to be an essential underpinning of our social interactions. It is therefore important that we develop rigorous mathematical foundations that will enable us to better understand what promotes and what erodes trust and how to best preserve trustworthiness. To that effect we here propose a trust game, wherein investors, trustworthy trustees, and untrustworthy trustees compete for assets subject to a third-party evaluation system that oversees and modifies each individual reputation. We use Monte Carlo simulations on social networks to determine critical values of the degree of rationality and the reputation threshold that warrant high levels of trust and social wealth. We show that if investors have access to the reputation scores of trustees, the fraction of untrustworthy trustees drops if only the degree of rationality is sufficiently large, and this irrespective of the reputation threshold that determines the cutoff for untrustworthiness. But even though investors are allowed irrational investments, trust can still proliferate if the reputation threshold is sufficiently high. Our results thus formalize essential mechanisms of trust in social networks, which also outline policies to diminish untrustworthiness that can be employed in real life.
Copositivity meets D. C. optimization

<p style='text-indent:20px;'>Based on a work by M. Dur and J.-B. Hiriart-Urruty[<xref ref-type="bibr" rid="b3">3</xref>], we consider the problem of whether a symmetric matrix is copositive formulated as a difference of convex functions problem. The convex nondifferentiable function in this d.c. decomposition being proximable, we then apply a proximal-gradient method to approximate the related stationary points. Whereas, in [<xref ref-type="bibr" rid="b3">3</xref>], the DCA algorithm was used. </p>
Synthesis and characterization of Zinc doped Strontium Titanate

In this work, Synthesis of Zn doped Strontium Titanate was demonstrated by using solid-state reaction technique and Polymethyl Methacrylate (PMMA) based composites were prepared via solution casting techniques. The microstructure and structure of the resultant compositeswere characterized by SEM (Scanning Electron Microscopy) and XRD (X-ray diffraction) techniques. However, the composites were analyzed at room temperature in a wide range of frequency. Further, high performance Zn doped PMMA composite films would be good candidates for modern electrical and electronic components.
Levantamento sobre Técnicas de Escalonamento para Computação Verde em Nuvem

A popularização do uso de plataformas de Computação em Nuvem resultou em um aumento significativo do uso de energia elétrica para a operação de tais plataformas: cerca de 1% da energia produzida no mundo é utilizada em data centers. Este trabalho apresenta uma revisão exploratória sobre as técnicas de gerenciamento de recursos computacionais e de escalonamento para plataformas de Computação em Nuvem que tem como objetivo maximizar o uso de energias renováveis.
Issues and Challenges in the Extraction and Mapping of Linked Open Data Resources with Recommender Systems Datasets

Recommender Systems have gained immense popularity due to their capability of dealing with a massive amount of information in various domains. They are considered information filtering systems that make predictions or recommendations to users based on their interests and preferences. The more recent technology, Linked Open Data (LOD), has been introduced, and a vast amount of Resource Description Framework data have been published in freely accessible datasets. These datasets are connected to form the so-called LOD cloud. The need for semantic data representation has been identified as one of the next challenges in Recommender Systems. In a LOD-enabled recommendation framework where domain awareness plays a key role, the semantic information provided in the LOD can be exploited. However, dealing with a big chunk of the data from the LOD cloud and its integration with any domain datasets remains a challenge due to various issues, such as resource constraints and broken links. This paper presents the challenges of interconnecting and extracting the DBpedia data with the MovieLens 1 Million dataset. This study demonstrates how LOD can be a vital yet rich source of content knowledge that helps recommender systems address the issues of data sparsity and insufficient content analysis. Based on the challenges, we proposed a few alternatives and solutions to some of the challenges.
GM1 Expression of Non-Hodgkins Lymphoma Determines Susceptibility to Rituximab Treatment.

The monoclonal antibody rituximab directed against the cell surface molecule CD20 of mature B cells has been proven to be successful in the treatment in a variety of B cell malignancies. However, resistance against rituximab occurs and there is no prognostic marker to predict individual response. Rituximab has been shown to induce cell killing via antibody dependent cytotoxicity (ADCC), complement dependent cytotoxicity (CDC) and the induction of apoptosis. However, the mechanism that renders rituximab so effective in vivo remains elusive as does the reason for treatment failure in a subgroup of patients. On the molecular level the function of rituximab has been associated with the partitioning of CD20 molecules to lipid microdomains. We now show that the extent of CD20 recruitment to lipid rafts correlates with response to rituximab. In addition, analyzing 11 different Non Hodgkin’s lymphoma cell lines we demonstrate that the expression of the raft associated sphingolipid GM1 on lymphoma cells is associated with the susceptibility to rituximab. Of note, lymphoma cells treated with the sphingolipid synthesis inhibitor PDMP exhibited reduced GM1 expression levels and showed impaired susceptibility to rituximab as compared to non treated lymphoma cells. Furthermore, analyzing the GM1 expression on lymphoma cells of 217 patients with various types of indolent Non-Hodgkin’s lymphoma, we demonstrate significantly different GM1 expression in various Non-Hodgkin’s lymphoma subtypes. Whereas chronic lymphocytic leukemia (CLL) cells have a low GM1 expression, marginal zone lymphoma (MZL) cells exhibit much higher levels. Differences were not only detected between various lymphoma subgroups but also within one lymphoma subtype. Interestingly, whereas CLL cells from patients with high GM1 expression responded to rituximab, patients with low GM1 expressing CLL cells did not. Similar results were observed analyzing lymphoma cells from patients with mantle cell lymphoma (MCL) suggesting that GM1 expression correlates with responsiveness to rituximab in further types of Non-Hodgkin’s lymphoma. Collectively, these data demonstrate the importance of membrane microdomains for the effect of rituximab and may offer a predictive factor for the responsiveness of lymphoma cells to rituximab.
PERFORMANS DEĞERLENDİRME HATALARINA İLİŞKİN ALGININ ÇALIŞAN SESSİZLİĞİ ÜZERİNDEKİ ETKİSİ

The purpose of this study is to examine the effect of perception of performance appraisal errors on employee silence. This purpose is based on the assumption that the errors perceived by the employees regarding the performance appraisal processes may push them to silence within the organization. The simple random sampling method was used in the study, and the surveys were applied to the volunteering employees to fill out the questionnaire by visiting 23 branches of three private banks randomly selected in the city center of Konya (n=131). In order to measure perception of performance appraisal errors, "Perception scale for performance appraisal errors" developed by Erbaşı et al. (2012) and revised by Erbaşı (2019) was used. In order to measure employee silence, "Employee silence or silence scale" developed by Van Dyne and LePine (1998) and adapted into Turkish by Çetin and Çakmakçı (2012) was used. The data obtained from the research were analyzed through the SPSS 24.0 program. According to the data obtained, it was determined that performance appraisal errors don’t statistically significant effect on employee silence.
Road Object Detection: A Comparative Study of Deep Learning-Based Algorithms

Automated driving and vehicle safety systems need object detection. It is important that object detection be accurate overall and robust to weather and environmental conditions and run in real-time. As a consequence of this approach, they require image processing algorithms to inspect the contents of images. This article compares the accuracy of five major image processing algorithms: Region-based Fully Convolutional Network (R-FCN), Mask Region-based Convolutional Neural Networks (Mask R-CNN), Single Shot Multi-Box Detector (SSD), RetinaNet, and You Only Look Once v4 (YOLOv4). In this comparative analysis, we used a large-scale Berkeley Deep Drive (BDD100K) dataset. Their strengths and limitations are analyzed based on parameters such as accuracy (with/without occlusion and truncation), computation time, precision-recall curve. The comparison is given in this article helpful in understanding the pros and cons of standard deep learning-based algorithms while operating under real-time deployment restrictions. We conclude that the YOLOv4 outperforms accurately in detecting difficult road target objects under complex road scenarios and weather conditions in an identical testing environment.
Validity and Reliability of an Adapted Persian Version of the Scoliosis Research Society-30 Questionnaire.

Background Adolescent idiopathic scoliosis (AIS) is a common type of spinal deformity confronting surgeons. The Scoliosis Research Society Health-Related Quality of Life (SRS-30) Questionnaire has been translated into Persian to evaluate its internal consistency, reliability, validity, and cross-cultural adaptability in the Persian population. Methods The translation and cultural adaptation process was based on the American Academy of Orthopaedic Surgeons guidelines. A total of 102 AIS patients referring to our institution were enrolled in this study within March 2014-March 2016. The 36-item Short Form (SF-36) was used for adapting the Persian SRS-30 questionnaire. The convergent validity of the Persian SRS-30 was examined using the Pearson correlation coefficient. Furthermore, its internal consistency and validity were tested using Cronbach α with bootstrapped 95% confidence interval. Interclass Correlation Coefficient (ICC) was used to test and retest reliability. Results The total correlation coefficient between the Persian SRS-30 and SF-36 was obtained at 0.74 (0.67-0.80), which was statistically significant (P=0.001). The total Cronbach α for the Persian SRS-30 was estimated at 0.84, ranging from 0.51 in satisfaction with management domains to 0.88 in mental health domains. The Persian SRS-30r domains indicated satisfactory test-retest reliability with ICC rage of 0.79-0.87. Conclusion The Persian SRS-30 translation was reliable and valid for the AIS Iranian patients. The internal consistency of this instrument was found to be good and excellent in all domains except satisfaction with management, which was moderate. The authors believe that the Persian version of SRS-30 is simple and easy to use and now it can be applied in clinical settings for future outcome studies in Iran.
Continuous-Time Fast Motion of Explosion Fragments Estimated by Bundle Adjustment and Spline Representation Using HFR Cameras

This paper introduces a continuous-time fast motion estimation framework using high frame-rate cameras. To recover the high-speed motions trajectory, we inherent the bundle adjustment using a different frame-rate strategy. Based on the optimized trajectory, a cubic B-spline representation was proposed to parameter the continuous-time position, velocity and acceleration during this fast motion. We designed a high-speed visual system consisting of the high frame-rate cameras and infrared cameras, which can capture the fast scattered motion of explosion fragments and evaluate our method. The experiments show that bundle adjustment can greatly improve the accuracy and stability of the trajectory estimation, and the B-spline representation of the high frame-rate can estimate the velocity, acceleration, momentum and force of each fragments at any given time during its motion. The related estimated result can achieve under 1% error.
The Effect of Price Earning Ratio on Market Performance in Banking Companies on the Indonesia Stock Exchange

This study aims to determine and analyze the effect of Price Earning Ratio on market performance in banking companies on the Indonesia Stock Exchange. The sampling method based on the purposive sampling method, there are 14 banking companies that meet the requirements and as a sample in this study using a simple regression analysis tool. The results of the study show that the variable Price Earning Ratio (PER) has no significant positive effect on Market Performance, this situation illustrates that Price to Earning Ratio (PER) is one of the company's financial ratios that can influence stock prices more dominantly than EPS. Companies that have a high PER value will attract investors to buy shares. So that the demand for these shares will increase, this will push the stock price to rise. Therefore, it can be concluded that the higher the PER, the higher the level of investor confidence in the company's future, seen from the company's growth, it will push the stock price up.
STATISTICAL EQUATIONS OF MAIZE CROP COEFFICIENT (Kc)

An experiment was conducted at Ismailia Agric, Res. Station in two adjacent areas, one of them was cultivated with maize crop and the second was cultivated with alfalfa crop permanent all over the year. Maize crop was cultivated for three years, in a time of 114 days each, started from day of year 160 to 274 in 1st year, from 138 to 252 in 2nd year and from 160 to 274 in 3rd year. From maize area crop evapotranspiration (ETC) was calculated and from alfalfa area potential evapotranspiration (ETO) was calculated. Area of maize crop was irrigated by drip regime but alfalfa crop was irrigated by sprinkler regime. The results of (ETC), (ETO), were using calculated (Kc). ETO - FAOPenman-Montieth equation are summarized as follow:  The average of maize coefficients (Kc) on alfalfa, and FAO-penman-monteith of the average of three seasons as well as the average of both was the same. Crop factor depend upon the growth stage of plant, whereas increased in the start period and then decreased in the late period.  ETc , ETo-alfalfa , ETo-FAO , maize-Kc calculated on ETc/ETo-alfalfa , ETc/ETo-FAO and average of ETc/ETo-alfalfa and ETc/ETo-FAO , which they calculated daily or average ten days data, as well as Kc for growth stages, they were subjected to polynomial equations.  Regression equation coefficient R2 of the polynomial equation, the above items were 0.91, 0.36, 0.89, 0.74, 0.86 and 0.83 for daily data and 0.99, 0.67, 0.98, 0.91, 0.96 and 0.95 for ten days average, respectively, also 0.99 for growth stage.
A Readout IC for Capacitive Touch Screen Panels With 33.9 dB Charge-Overflow Reduction Using Amplitude-Modulated Multi-Frequency Excitation

This article presents a readout integrated circuit (ROIC) for capacitive touch-screen panels (TSPs) employing an amplitude-modulated multiple-frequency excitation (AM-MFE) technique. To prevent charge overflow, which occurs periodically at the beat frequency of the excitation frequencies, the ROIC modulates the amplitude of the excitation voltages at a mixing frequency derived from the excitation frequencies. Thus, the ROIC can sense the charge signal without charge overflow and maximize the signal-to-noise ratio (SNR) by increasing the amplitude of the excitation voltages up to the sensing range of the readout circuit. The proposed ROIC was fabricated in a 0.13-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> standard CMOS process and was measured with a 32-in 104 <inline-formula> <tex-math notation="LaTeX">$\times $ </tex-math></inline-formula> 64 touch-screen panel using 1 and 10 mm metal pillars. It reduces charge overflow up to 33.9 dB compared to operation without AM-MFE. In addition, the ROIC achieves a frame rate of 2.93 kHz, and SNRs of 41.7 and 61.6 dB with 1 and 10 mm metal pillars, respectively.
Subprodutos da mandioca como alimento alternativo para frangos de corte

A mandioca (Manihot esculenta crantz) é uma planta originária da América do Sul, principalmente da região Amazônica, que vem sendo cultivada em diversos países devido à sua ampla adaptação. As indústrias voltadas ao processamento da mandioca para fabricação de farinha e fécula, localizadas principalmente na região sul e sudeste do Brasil, geram resíduos sólidos e líquidos de alta capacidade poluidora, o que tem resultado em grande impacto ao meio ambiente. Atualmente, a produção animal sofre com o alto custo na alimentação, principalmente, em função da oscilação dos preços dos grãos no mercado. Como forma de redução da poluição ambiental e dos custos de produção animal, tem-se o aproveitamento dos resíduos provenientes do processamento da mandioca na alimentação animal. A presente revisão bibliográfica tem como objetivo destacar a utilização dos principais subprodutos da indústria de processamento da mandioca, como substituto ao milho, na alimentação de frangos de corte.
An indirect BIE free of degenerate scales

Thanks to the fundamental solution, both BIEs and BEM are effective approaches for solving boundary value problems. But it may result in rank deficiency of the influence matrix in some situations such as fictitious frequency, spurious eigenvalue and degenerate scale. First, the nonequivalence between direct and indirect method is analytically studied by using the degenerate kernel and examined by using the linear algebraic system. The influence of contaminated boundary density on the field response is also discussed. It's well known that the CHIEF method and the Burton and Miller approach can solve the unique solution for exterior acoustics for any wave number. In this paper, we extend a similar idea to avoid the degenerate scale for the interior two-dimensional Laplace problem. One is the external source similar to the null-field BIE in the CHIEF method. The other is the Burton and Miller approach. Two analytical examples, circle and ellipse, were analytically studied. Numerical tests for general cases were also done. It is found that both two approaches can yield an unique solution for any size.
Análises iniciais para otimização da técnica GARN

GARN é uma técnica desenvolvida para prever estruturas 3D de RNAs, e utiliza conceitos de teoria dos jogos em seu algoritmo. Os autores do estudo sugerem uma otimização da técnica, realizando novas análises. O objetivo desse artigo é mostrar os passos iniciais desenvolvidos para essa otimização. Foram realizadas análises sobre estruturas 3D obtidas em laboratório, e aplicadas nas configurações do jogo. Estão presentes nesse artigo alguns resultados preliminares decorrentes dessas alterações.
De gezondheidstoestand van es in Vlaamse bossen Resultaten uit de permanente steekproef 2014-2019

European common ash , Fraxinus excelsior, is threatened by the invasive pathogen Hymenoscyphus fraxineus . The disease was officially recorded in Flanders in 2010, a few years after the first infections on young ash trees took place. The crown condition of deteriorated. The trees resulted in 55.2% 2019 was 47.7% From 2014 to 2019, 16.3% of sample Mortality rate increased to 6.2% 2019. Young trees year) the worst health status. Trees on dryer sites a better condition compared to those on wetter soils. may fraxineus . dying and branches resulted in an increased crown dieback. Other symptoms a higher frequency of are shoot slime and
Digitalization and financial performance of enterprises from the livestock sector

The European Union’s strategy for the digitalization of agriculture is reflected in several initiatives, programs, and projects. The effect of promoting the application of digital technologies is expected to result in an increase in the competitiveness of farmers and their entry into the world market. This is expected to be done through the introduction of innovations leading to cost optimization and greater efficiency. The article examines some concepts related to digitalization, such as “digital maturity”, “digital transformation”, “digital intelligence” and others. A Probit model is used to study the relation of digitalization and the firm performance of entrepreneurs in the livestock sector. Based on an empirical study of the livestock farms, the relationship between digitalization and financial results, sales revenue, size, and innovation activity is analyzed. Our findings show that as the return on assets increases, the probability of livestock farms implementing digital solutions increases. A negative relationship between the intensity of innovation spending and the propensity for digitalization is proved. As the size of their assets increases, companies are more likely to implement digital solutions.