Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of two lines of chemotherapy: gemcitabine with nab-paclitaxel and liposomal irinotecan with 5-fluorouracil and leucovorin in patient with advanced pancreatic adenocarcinoma

Pancreatic cancer is a disease with high mortality. It is predicted to become the second leading cause of cancer death in some regions of the world. Frequent diagnosis at an advanced stage contributes to 5-year survival at a highly unsatisfactory level of 2–9%. Due to the lack of early symptoms, nearly 80% of patients receive a diagnosis when distant metastases develop. So far, the most frequently used programs in the treatment of patients with pancreatic cancer in the stage of neoplastic spreading include: FOLFIRINOX (oxaliplatin, 5-fluorouracil, irinotecan, leucovorin), gemcitabine alone or in combination with nab-paclitaxel or erlotinib. Based on the results of the phase III study NAPOLI-1, liposomal irinotecan in combination with 5-fluorouracil (5-FU) and leucovorin (LV ) was approved as the first regimen for use in the second or subsequent line of therapy in patients with advanced pancreatic cancer previously treated with gemcitabine. This paper presents a case of a patient with advanced pancreatic cancer who was treated with two lines of chemotherapy – gemcitabine in combination with nab-paclitaxel and liposomal irinotecan with 5-FU/LV . The treatment was well tolerated and was considered a valuable therapeutic option. A 2-year overall survival was obtained from the diagnosis of the disease.
Towards a dynamic mode of design management and beyond

In 1965, the need for design management as project management was voiced at a time when new forms of consumerism became affordable for the masses. However, in an environment of disruptive change, in which "age of less" consumption is propagated, when digital technologies allow for new business models and distribution channels without intermediaries, design as a company resource can also become "sticky". Today, firms have to continuously absorb new knowledge and quickly socialise it throughout the company. Design management may need to lead the way towards more dynamic ways of doing business. Furthermore, design management may have to venture strongly into the entrepreneurial side of business, recognizing, evaluating, and exploiting new business opportunities. This conceptual paper will look at three different modes of design management: simple design management or the management of design activities within organisations; integrated design management or the coordination of all relevant design activities within a firm across all company levels; and dynamic design management, which builds on the dynamic capability concept. In addition, this paper will raise the question of whether there should be a fourth mode, building on the basics of entrepreneurship, called "entrepreneurial design management".
Cuff-Less Blood Pressure Estimation from Electrocardiogram and Photoplethysmography Based on VGG19-LSTM Network

In recent years, studies have found that the hierarchical neural network with LSTM network has higher accuracy than another feature engineering. Therefore, this paper first tries to build a multi-stage blood pressure estimation model through VGG19 and LSTM network. Based on the time node of the R wave peak in the QRS waveform in ECG, VGG19 is used to extract various higher-dimensional and rich life characteristics in the PPG signal segment by heartbeat as the unit and focus on processing the dynamics of SBP and DBP Correlation, finally use the LSTM model to extract the time dependence of the vital signs. Results: Experiments show that compared with similar multi-stage models, this model has higher accuracy. The performance of this method meets the Advancement of Medical Instrumentation (AAMI) standard and reaches the A level of the British Hypertension Society (BHS) standard. The average error and standard deviation of the estimated value of SBP were 1.7350 4.9606 mmHg, and the average error and standard deviation of the estimated value of DBP were 0.7839 2.7700 mmHg, respectively.
A New Two-Dimensional Photonic Crystal Channel Drop Filter Based on Two-Resonant Cavities

In this paper, a channel drop filter (CDF) is composed of two cubic lattice circular ring resonator cavities and point micro-cavities in a two-dimensional photonic crystal. The photonic band gap is calculated using the plane wave expansion (PWE) method and the optical characteristics of proposed structure are studying by the finite difference time domain (FDTD) method with perfectly matched layers (PMLs) acting as the boundary conditions . Two different wavelengths centered at 1773 nm and 1742 nm have been successful separation in this CDF. These demonstrate that our proposed structure is suitable for photonic integrated circuits (PICs) and coarse wavelength division multiplexing (WDM) optical communication systems.
A TMO‐based flight program of an unmanned helicopter

– The purpose of this paper is to introduce a new danger‐aware Operational Flight Program (OFP) for the unmanned helicopter's auto‐navigation based on the well‐known time‐triggered message‐triggered object (TMO) model. , – In this design with the TMO, the danger‐awareness means two things. First, an unmanned helicopter maneuvers on safe altitudes to avoid buildings or mountains when navigating to the target position. It is assumed that minimum safe altitudes are given on evenly spaced grids and on the center points of every four adjacent grids. A three‐dimensional (3D) path‐finding algorithm using this safe‐altitude information is proposed. Second, a helicopter automatically avoids a zone with very high temperature caused by a fire. , – Since the auto‐flight control system requires componentized real‐time processing of sensors and controllers, the TMO model that has periodic and sporadic threads as members, has been used in designing the OFP. It has been found that using the TMO scheme is a way to construct a very flexible, well‐componentized and timeliness‐guaranteed OFP. , – As the RTOS, RT‐eCos has been used. It was developed a few years ago based on the eCos3.0 to support the real‐time thread model of the TMO scheme. To verify this navigation system, a hardware‐in‐the‐loop simulation (HILS) system also has been developed. , – Designing an OFP by using the real‐time object model TMO and the proposed 3D safe path finding algorithm is a whole new effective deadline‐based approach. And the developed OFP can be used intensively in the phase of disaster response and recovery.
Prediction And Evaluation of Forest Fire In Yunnan of China Based On Geographically Weighted Logistic Regression Model

Establishing an effective forest fire forecasting mechanism is the premise of scientific planning and management of forest fires and forest fire prevention. In recent years, the forest fire prediction mechanism has been one of the key areas of concern for the government forestry management departments and forestry researchers. One of them, is logistic regression ( LR ). It is a relatively frequent prediction probability model used in forest fire prediction and prediction in China and abroad for the past few years. However, with the gradual deepening of research, it is found that the logistic regression model fails to fully consider the spatial non-stationary relationship between forest fires and driving factors, which leads to poor fitting effect and low prediction accuracy of the model. But its extended counterpart, the Geographically weighted logistic regression ( GWLR ) model, takes into account the spatial correlation between model variables, and effectively improves the fitting ability and prediction accuracy of the model. Therefore, this paper compares the ability of the logistic regression model and the geographically weighted logistic regression model in terms of fitting ability and prediction accuracy in order to obtain the ability of the two models to predict forest fires in Yunnan Province. In this paper, the samples were divided into 60% training samples and 40% test samples, and repeated sampling was carried out 5 times for training. Variables that appeared in the training model for 3 or more times were used to construct the final LR and GWLR models. Finally, the models with better fitting ability and higher prediction accuracy were used to classify the fire risks in Yunnan Province. The results show that the geographically weighted logistic regression model is superior to the logistic regression model in terms of fitting effect and accuracy. The geographically weighted logistic regression model is more suitable for the data structure of forest fires in Yunnan Province and has better prediction ability. The AUC value of the geographically weighted logistic regression model is 0.902, and the prediction accuracy is 82.7 %; The AUC value of logistic regression model was 0.891, and the prediction accuracy was 80.1%; Fully considering the spatial heterogeneity among model variables can, to some extent, predict forest fires more accurately. The fitting of the two models shows that the relative humidity, temperature, air pressure, sunshine hours, daily precipitation, wind speed, and other meteorological factors; Vegetation type; terrain factor; Population density, road network and other human activity factors become the cause of forest fires in Yunnan Province.
Expression and Prognostic Role of E2F2 in Hepatocellular Carcinoma

Introduction Hepatocellular carcinoma (HCC) is a common clinical malignancy. Recent studies reported that E2F transcription factor 2 (E2F2) plays a significant role in tumor progression. However, its expression and biological function in HCC are still unclear. Therefore, we explored the relationship between E2F2 expression and tumor progression in HCC. Methods In this study, we utilized some online tools to explore the E2F2 expression in pan-carcinoma and HCC. The association of E2F2 expression with the clinical characteristics and prognosis of HCC was further studied. In addition, we explored the co-expressed genes of E2F2 and mined the positively/negatively corrected significant genes and excavated the possible functions. Meanwhile, the hub gene set was constructed based on protein–protein interaction (PPI) network, and the relationship between E2F2 and immunity was discovered. Results We observed that the expression level of E2F2 was generally upregulated in HCC. However, E2F2 expression was not significantly different between HCC and normal tissues in regard to the disease stage 4. Furthermore, we also observed the poor prognosis in patients with high E2F2 expression. The co-expressed genes of E2F2 were identified and further detected. Thereafter, we identified the positively/negatively corrected significant genes and constructed the hub gene network of E2F2 based on PPI network. We also found that E2F2 expression was positively correlated with the infiltration levels of CD4+ T, CD8+ T cells, macrophages, neutrophils, and dendritic cells. Conclusion Our findings suggested that E2F2 could be a potential prognostic factor for HCC, which could provide a therapeutic target for the molecular treatment of HCC.
Electrical Generation for More-Electric Aircraft using Solid Oxide Fuel Cells

This report examines the potential for Solid-Oxide Fuel Cells (SOFC) to provide electrical generation on-board commercial aircraft. Unlike a turbine-based auxiliary power unit (APU) a solid oxide fuel cell power unit (SOFCPU) would be more efficient than using the main engine generators to generate electricity and would operate continuously during flight. The focus of this study is on more-electric aircraft which minimize bleed air extraction from the engines and instead use electrical power obtained from generators driven by the main engines to satisfy all major loads. The increased electrical generation increases the potential fuel savings obtainable through more efficient electrical generation using a SOFCPU. However, the weight added to the aircraft by the SOFCPU impacts the main engine fuel consumption which reduces the potential fuel savings. To investigate these relationships the Boeing 787­8 was used as a case study. The potential performance of the SOFCPU was determined by coupling flowsheet modeling using ChemCAD software with a stack performance algorithm. For a given stack operating condition (cell voltage, anode utilization, stack pressure, target cell exit temperature), ChemCAD software was used to determine the cathode air rate to provide stack thermal balance, the heat exchanger duties, the gross power output for amore » given fuel rate, the parasitic power for the anode recycle blower and net power obtained from (or required by) the compressor/expander. The SOFC is based on the Gen4 Delphi planar SOFC with assumed modifications to tailor it to this application. The size of the stack needed to satisfy the specified condition was assessed using an empirically-based algorithm. The algorithm predicts stack power density based on the pressure, inlet temperature, cell voltage and anode and cathode inlet flows and compositions. The algorithm was developed by enhancing a model for a well-established material set operating at atmospheric pressure to reflect the effect of elevated pressure and to represent the expected enhancement obtained using a promising cell material set which has been tested in button cells but not yet used to produce full-scale stacks. The predictions for the effect of pressure on stack performance were based on literature. As part of this study, additional data were obtained on button cells at elevated pressure to confirm the validity of the predictions. The impact of adding weight to the 787-8 fuel consumption was determined as a function of flight distance using a PianoX model. A conceptual design for a SOFC power system for the Boeing 787 is developed and the weight estimated. The results indicate that the power density of the stacks must increase by at least a factor of 2 to begin saving fuel on the 787 aircraft. However, the conceptual design of the power system may still be useful for other applications which are less weight sensitive. « less
Nonlinear analysis of microwave frequency synthesizers: stability and incidental FM

The nonlinear dynamics of microwave synthesizers based on type-II loops has been analyzed, with a realistic description of the loop devices. In this way it has been possible to simulate incidental frequency modulation and predict hysteresis and chaotic responses, which are commonly observed in practice. A 2-3 GHz synthesizer with a JK flip-flop phase detector has been simulated and measured with very good agreement.
Day-of-Year Scaling Factors and Design Considerations for Nonmotorized Traffic Monitoring Programs

General procedures, including the estimation of annual average daily traffic (AADT) from short-duration counts, have not been established for nonmotorized traffic monitoring programs. Continuous counts of nonmotorized traffic were collected at six locations on the off-street trail network in Minneapolis, Minnesota, in 2011. A new approach for estimating AADT values from short-duration counts, the use of day-of-year factors, is demonstrated. Analyses of variability in count data can be used to design a monitoring program that uses both continuous and short-duration counts of nonmotorized traffic. Five core conclusions may be useful for developing nonmotorized monitoring programs: (a) day-of-year scaling factors have smaller error than does the standard (day-of-week and month-of-year) method of AADT estimation, especially from short-duration counts (<1 week); (b) extrapolation error decreases with short-duration-count length, with only marginal gains in accuracy for counts longer than 1 week; (c) errors in estimating AADT values are lowest when short-duration counts are taken in summer (or spring, summer, and fall) months (April through October); (d) the impact of sampling on consecutive (successive) versus nonconsecutive (separate) days on AADT estimation is minimal but may reduce labor requirements; and (e) the design of a traffic monitoring program depends on the acceptable error, equipment availability, and monitoring period duration. Trade-offs in short-duration-count lengths and estimate accuracy will depend on resource constraints. Analysts can use day-of-year factors to improve the accuracy of AADT estimation. Analyses of variability in traffic counts can strengthen the design of monitoring programs.
Continuous electrical resistance monitoring, pull strength, and fatigue life of isotropically conductive adhesive joints

Four isotropically conducting adhesives were used to form lap joints between copper fingers which had been prepared with four surface metallizations (Cu, Au, Pd, and PdNi). A micromechanical tester was used to perform pull and fatigue tests on the 16 adhesive/finish combinations. The micro-ohm resistance change was measured during both the pull and fatigue tests. The similarities and differences between the mechanical strength, fatigue life, and resistance change for the 16 adhesive/finish combinations are reported, and conclusions are drawn about relative motion between silver particles and the fracture interfaces.
Personalization Component for KiWi Framework

In this report we present the personalization component implemented for KiWi addressing diverse aspects such as motivation scenarios, configuration management, formal models, implementations and some real case scenarios on how personalization can be applied to support software project management. The personalization component is responsible for addressing and delivering information to individuals regarding their roles and preferences, explicitly or implicitly inferred from their activities in the system. Personalization is a essential for KiWi since this in a multi-user environment and individuals has dierent interests and needs when using the system.
Investigating Mind-Mapping as a Tool for Problem Exploration in Early Design

We present an experiment to study the role of mind-mapping as a tool for design opportunity identification and problem understanding. Our goal is to investigate how the quality of design opportunity statements change with two different techniques, namely, mind-mapping and free writing. Identifying design opportunities is an important step in new product development and little is currently understood in terms of what tools can provide cognitive support for problem clarification. In this work, we focus on mind-mapping as one example of a potential tool for providing such support. Mind-maps are well-known for their ability to enable the exploration of ideas in an unconstrained and structured way. To study their role in helping problem exploration, we conducted a between-subject user study with 28 participants to investigate how information structure and organization affect the exploration of ideas in a given design context. Further, we propose new evaluation metrics to quantitatively assess key elements presented in the design opportunity statements generated after exploring the problem domain. We report on the quantitative results, the exploration behaviors, and the general user feedback about the experience. Finally, we discuss the implications of these findings on design problem identification and future digital mind-mapping tools for exploratory tasks.
Knowledge Sharing and Building in Succession of a Firm

Successful knowledge-based organizations have been portrayed as balancing on the edge of time: they are able to connect experience and lessons learned in the past with current activities and with a view to the future. Succession presents many challenges to this continuity of organizational knowledge. Traditionally, succession has been associated with transferring the existing knowledge from senior workers to newcomers. The paper examines succession as a knowledge- based process consisting both of transferring seniors' expertise to juniors, as well as using juniors' competencies for building knowledge that is new for a firm, i.e. succession is seen as a context where both continuity and renewal are produced. To examine succession from a knowledge-based view, we have implemented an empirical study on succession of a Finnish expert company. The objective of the research is to describe and understand how knowledge is used and modified in the context of succession. The theoretical and methodological basis of the study lies on sense-making. The preliminary results prove that in the studied firm, social interaction related with the succession leads not only to transferring the existing knowledge of the senior workers to the newcomers. In addition, new knowledge can be applied and created in the context of master-novice interaction The newcomers bring in new ideas, standpoints and knowledge that are valuable to the firm, as well as apply and change the existing organizational knowledge. Thereby succession is not only a process of producing continuity of organizational knowledge, but also of renewing it.
Treatment of Aortic and Iliac Artery Occlusion by Catheter Thrombolysis Combined with Catheter Thrombectomy and Aortic Bifurcation Endovascular Stent Reconstruction

Aortoiliac occlusive disease (AIOD) is an occlusive disease of the infrarenal aorta and iliac arteries usually caused by stenosis or occlusion at the end of the abdominal aorta-common iliac artery. Herein, we reported a case of Trans-Atlantic Inter-Society Consensus- (TASC-) D AIOD with pale, cool, and intangible dorsalis pedis artery treated with catheter thrombolysis combined with catheter thrombectomy and aortic bifurcation endovascular stent reconstruction, which proved to be safe, effective, and minimally invasive approach. In the present paper, we discussed the physical and imaging manifestations, as well as treatments.
PHENIC: silicon photonic 3D-network-on-chip architecture for high-performance Heterogeneous many-core system-on-chip

Network-on-chip architectures can improve the scalability, performance, and power efficiency of general multiprocessor systems and application-specific heterogeneous multicore and many-core SoCs (MCSoCs). This interconnection paradigm when combined with 3D integration technology offers advantages over 2D NoC design, such as shorter wire length, higher packing density, and smaller footprint. However, since processor architects and semiconductor industries are heading towards complex and large system design consisting of hundreds of PEs, traditional fully 2D or 3D electronic NoC approaches are becoming not enough for providing significant large bandwidth with low-power consumption. Optical Network-on-Chip (ONoC) promises significant advantages over their electronic counterparts. In particular, they offer a potentially disruptive technology solution with fundamentally low power dissipation that remains independent of capacity while providing ultra-high throughput and minimal access latency. In this work, we propose a novel 3D hybrid architecture, named PHENIC 3D-ONoC, is based on our earlier proposed 3D OASIS-NoC1, which uses optical layer for high bandwidth transfer and an electric control layer for path control. We present architecture, design, and preliminary evaluation results in a fair amount of details.
Linear phase variable 2-D filter design using real-complex decomposition

This paper proposes a new method for designing two-dimensional (2-D) variable digital filters with arbitrary variable magnitude characteristics and linear phases. By combining the given variable magnitude specification with linear phase specification, we first form a variable 2-D frequency response specification. Then we propose a real-complex decomposition method for decomposing the complex-valued variable specification into real-valued and complex-valued components. Finally, the resulting real-valued components are approximated by using 1-D polynomials, and the complex-valued components are approximated by the normal constant 2-D filters. Connecting the 1-D polynomials and 2-D constant filters obtains a variable 2-D filter. The significant advantage of the design method lies in that it can reduce the original difficult problem to a set of easier ones through the real-complex decomposition of the given variable specification.