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The technology of precise point positioning – real time kinematic (PPP – RTK) can realize regional accurate positioning. However, poor quality atmospheric corrections can greatly impact the integer ambiguity resolution. The low reliability of interpolated corrections may arise from blocked transmission of the updated corrections, atmospheric disturbance, and when the user is located outside the service area. Therefore, to maintain a continuous ambiguity-fixed state in an inaccurate correction observation environment, we propose a novel stop-and-go (SAG) kinematic positioning method. Integer ambiguities inherited from the last epoch are used to estimate the ionospheric errors of the current epoch using an inversion calculation method. Unmodeled errors contained in the ionospheric corrections are also considered. We then experimentally compare the proposed method and traditional PPP – RTK and SAG methods with the results of the PPP-ambiguity resolution calculation using geomagnetic storm-influenced data. All indicators, including the number of fixed ambiguities, errors of corrections, successful fix rate, and correct fix rate, confirm the superiority of the proposed method. The proposed method achieves a horizontal correct fix rate of 98% and maintains the vertical correct fix rate above 96% throughout the day. It is proved that for most of the time the novel method can provide continuous ambiguity-fixed solutions for users in an inaccurate correction observation environment.

With the advancement of spaceborne synthetic aperture radar (SAR) resolution, the conventional stop-and-go approximation-based motion model is no longer suitable for high-resolution imaging algorithms. This paper conducts a comprehensive analysis of the approximation errors resulting from the stop-and-go approximation and proposes corresponding compensation methods. Firstly, an accurate echo model based on continuous platform motion is derived from the SAR geometry configuration. The impact of these errors on range and azimuth imaging is analysed from a spectral perspective, and the applicable boundary conditions are examined. Subsequently, compensation methods are proposed to eliminate the introduced approximation errors, addressing both"fast time" and"slow time" effects, thus enabling high-resolution imaging through improvements in traditional imaging algorithms. Experimental simulations validate the effectiveness of the error analysis and compensation methods, using X-band low Earth orbit SAR as an illustrative example. The proposed methods are not only compatible with existing mature imaging algorithms, but the analytical approach and compensation methods are also applicable to SAR systems operating on different carrier frequencies, orbits, and platforms. [ABSTRACT FROM AUTHOR]

Traffic waves, known also as stop-and-go waves or phantom jams, appear naturally as traffic instabilities, also in confined environments as a ring-road. A multi-population traffic is studied on a ring-road, comprised of drivers with stable and unstable behavior. There exists a critical penetration rate of stable vehicles above which the system is stable, and under which the system is unstable. In the latter case, stop-and-go waves appear, provided enough cars are on the road. The critical penetration rate is explicitly computable, and, in reasonable situations, a small minority of aggressive drivers is enough to destabilize an otherwise very stable flow. This is a source of instability that a single population model would not be able to explain. Also, the multi-population system can be stable below the critical penetration rate if the number of cars is sufficiently small. Instability emerges as the number of cars increases, even if the traffic density remains the same (i.e., number of cars and road size increase similarly). This shows that small experiments could lead to deducing imprecise stability conditions. [ABSTRACT FROM AUTHOR]

The meaning of weak solutions of a nonconservative hyperbolic system with discontinuous coefficients modeling traffic flows involving hysteresis is defined. An upwinding approximation scheme for the model is shown to be total variation diminishing. Vehicles' speeds and drivers' hysteresis states satisfy maximum and minimum principles. The limit of a convergent subsequence generated by the approximation scheme is shown to be a weak solution of the model if it is piecewise C1, establishing the existence of such solutions. [ABSTRACT FROM AUTHOR]

Stop-and-go waves, also called phantom jams, are often observed in real traffic flows but can be produced neither by the classical Lighthill–Whitham–Richards (LWR) model nor by its known variants. To capture stop-and-go waves, we add hysteresis to the LWR model. For the model we propose, all possible viscous waves are found, and necessary and sufficient conditions for their existence are provided. In particular, deceleration and acceleration shocks appear; the latter were never rigorously defined before, in spite of the fact that they were observed in real traffic flows. Stop-and-go waves can be constructed by a pair of deceleration and acceleration shocks that completes a hysteresis cycle, illustrating how hysteresis loops lead to stop-and-go waves. In contrast, in the phase region where anticipation (i.e. negative hysteresis) loops exist, stop-and-go waves are not present, and speed variations decay. Riemann solutions are then found for all possible Riemann data. We explicitly show that, in the phase region where hysteresis loops exist, a sufficient deviation in speed of a few vehicles in an otherwise uniform car platoon can generate stop-and-go waves, confirming observations of real traffic experiments. [ABSTRACT FROM AUTHOR]

Spotlight synthetic aperture radar (SAR) is a proven technique, which can provide high-resolution images as compared to those produced by traditional stripmap SAR. This paper addresses a high-resolution SAR focusing experiment based on Gaofen-3 satellite (GF-3) staring data with about 55 cm azimuth resolution and 240 MHz range bandwidth. In staring spotlight (ST) mode, the antenna always illuminates the same scene on the ground, which can extend the synthetic aperture. Based on a two-step processing algorithm, some special aspects such as curved-orbit model error correction, stop-and-go correction, and antenna pattern demodulation must be considered in image focusing. We provide detailed descriptions of all these aspects and put forward corresponding solutions. Using these suggested methods directly in an imaging module without any modification for other data processing software can make the most of the existing ground data processor. Finally, actual data acquired in GF-3 ST mode is used to validate these methodologies, and a well-focused, high-resolution image is obtained as a result of this focusing experiment. [ABSTRACT FROM AUTHOR]

Objectives We compared continuous versus stop-and-go chemotherapy after disease stabilisation with induction chemotherapy in the first-line treatment of metastatic gastric cancer (MGC). Methods MGC patients who achieved disease control after 6 cycles of S-1/oxaliplatin (SOX) were randomised to receive either continuous SOX until progression (continuous arm) or to have a chemotherapy-free interval followed by SOX reintroduction at progression (stop-and-go arm). The primary end-point was overall survival (OS). Results Of the 250 patients enrolled, 247 participated in the induction phase. Of these, 121 patients were randomised to the continuous arm (n = 59) or the stop-and-go arm (n = 62). Progression-free survival (PFS) was significantly longer in the continuous arm than in the stop-and-go arm (10.5 versus 7.2 months; hazard ratio [HR] 0.55, 95% CI, 0.37–0.81; P = 0.002). Duration of disease control (DDC) and OS, however, were comparable between the two arms: median DDC, 10.5 versus 11.3 months, HR 0.92 (95% CI, 0.62–1.36; P = 0.674); median OS, 22.6 versus 22.7 months, HR 0.78 (95% CI, 0.50–1.23; P = 0.284). Adverse events including grade ≥3 fatigue (28.8% versus 8.1%; P = 0.003) and sensory neuropathy (25.4% versus 9.7%; P = 0.022) occurred more frequently in the continuous arm than in the stop-and-go arm. Quality of life (QOL) including global health status, physical/role functioning and other symptom scores significantly favoured the stop-and-go arm. Conclusion Compared with the stop-and-go strategy, maintenance chemotherapy improved PFS but not DDC and OS and had a negative impact on QOL, suggesting the stop-and-go strategy may be an appropriate option in MGC patients following induction chemotherapy. [ABSTRACT FROM AUTHOR]

Background: MPACT demonstrated a survival benefit of nab-paclitaxel plus gemcitabine versus gemcitabine in advanced pancreatic cancer (APC). However, sensory peripheral neuropathy is a dose-limiting toxicity and neuromodulators have shown limited, if any activity in ameliorating neuropathy. In colorectal cancer, the OPTIMOX ("stop-and-go") approach offered a strategy to reduce neuropathy. No data exist to support this strategy for nab-paclitaxel in APC.Methods: Retrospective study of APC patients who developed grade 3 neuropathy during nab-paclitaxel plus gemcitabine was done. Nab-paclitaxel was held and then reinstituted upon radiological or tumor marker progression. Duration of disease control (DCC) was measured. We named this strategy "OPTINAB".Results: Seven patients out of 27 (25%) developed grade 3 neuropathy after an average of 4.2 months; nab-paclitaxel was suspended while gemcitabine was continued. Maintenance gemcitabine continued for a mean of 2.8 months. Upon progression (radiologic or CA19-9) nab-paclitaxel was re-instituted with gemcitabine. One patient could not tolerate nab-paclitaxel due to worsening of neuropathy while other six continued the combo with mean progression-free survival 2 (PFS2) of 2.2 months. The six patients continued nab-paclitaxel for a mean of PFS2 of 2.2 months (range 1-4 months). Nab-paclitaxel resulted in improvement of an average DDC with an average of (7.0 + 2.2 =) 8.2 months (range 8-13 months). Average overall survival for this group was 11.7 months (range 9.5-17 months). Reintroduction of nab-paclitaxel resulted in an average DDC of 9.4 months. Average overall survival (OS) for this group was 11.7 months.Conclusions: "OPTINAB" approach improved PFS2 in these patients and was feasible as majority of the patient tolerated nab-paclitaxel. Although it is a small study, it supports the need for a randomized, prospective study to test the concept of "OPTINAB". [ABSTRACT FROM AUTHOR]

Lane-changing events are often related with safety concern and traffic operational efficiency due to complex interactions with neighboring vehicles. In particular, lane changes in stop-and-go traffic conditions are of keen interest because these events lead to higher risk of crash occurrence caused by more frequent and abrupt vehicle acceleration and deceleration. From these perspectives, in-depth understanding of lane changes would be of keen interest in developing in-vehicle driving assistance systems. The purpose of this study is to analyze vehicle interactions using vehicle trajectories and to identify factors affecting lane changes with stop-and-go traffic conditions. This study used vehicle trajectory data obtained from a segment of the US-101 freeway in Southern California, as a part of the Next Generation Simulation (NGSIM) project. Vehicle trajectories were divided into two groups; with stop-and-go and without stop-and-go traffic conditions. Binary logistic regression (BLR), a well-known technique for dealing with the binary choice condition, was adopted to establish lane-changing decision models. Regarding lane changes without stop-and-go traffic conditions, it was identified based on the odd ratio investigation that he subject vehicle driver is more likely to pay attention to the movement of vehicles ahead, regardless of vehicle positions such as current and target lanes. On the other hand, the subject vehicle driver in stop-and-go traffic conditions is more likely to be affected by vehicles traveling on the target lane when deciding lane changes. The two BLR models are adequate for lane-changing decisions in normal and stop-and-go traffic conditions with about 80 % accuracy. A possible reason for this finding is that the subject vehicle driver has a tendency to pay greater attention to avoiding sideswipe or rear-end collision with vehicles on the target lane. These findings are expected to be used for better understanding of driver's lane changing behavior associated with congested stop-and-go traffic conditions, and give valuable insights in developing algorithms to process sensor data in designing safer lateral maneuvering assistance systems, which include, for example, blind spot detection systems (BSDS) and lane keeping assistance systems (LKAS). [ABSTRACT FROM AUTHOR]

• A hybrid traffic flow model of micro and macro is proposed. • The Maximum Likelihood Estimation of stop and go coefficients is deduced. • The mechanism of traffic flow oscillation is explored with Brownian noise. To investigate the stop-and-go phenomenon triggered by car-following, a hybrid model of micro and macro is proposed. Firstly, with the stochastic nature of driving behavior, a Brownian noise is added into the velocity difference to give a modification to the car-following model. Then, to combine the macroscopic traffic flow characteristics, the traffic stream model is introduced, and the two models are fused in the context of high traffic flow. Next, the theoretical validity of the fusion model is verified by the existence and uniqueness of the solution. The coefficients of the hybrid model are extracted as the stop coefficient and go coefficient which reflect the micro driving behavior. The Maximum Likelihood Estimations of the two coefficients are also given, as well as the boundedness of traffic oscillation in stop-and-go. Finally, numerical simulations show that the model has good fitting and prediction ability for traffic flow in high flow period. Moreover, the greater the stop coefficient, the stronger the traffic flow oscillation intensity, the larger the upper boundedness of the oscillation, the more severe the stop-and-go. [ABSTRACT FROM AUTHOR]

This study was dedicated to illustrating the significance of sensor manipulation in the case of terrestrial laser scanning, which is a field now in quick development. In fact, this quickness was mainly rooted in the emergence of new sensors with better performance, while the implications of sensor manipulation have not been fully recognized by the whole community. For this technical gap, the stop-and-go mapping mode can be reckoned as one of the potential solution plans. Stop-and-go was first proposed to handle the low efficiency of traditional static terrestrial laser scanning, and then, it was re-emphasized to improve the stability of sample collections for the state-of-the-art technology of mobile laser scanning. This work reviewed the previous efforts of trying the stop-and-go mode for improving the performance of static and mobile terrestrial laser scanning and generalized their principles respectively. This work also analyzed its advantages compared to the fully-static and fully-kinematic terrestrial laser scanning, and suggested the plans with more automatic measures for raising the efficacy of terrestrial laser scanning. Overall, this literature review indicated that the stop-and-go mapping mode as a case with generic sense can verify the presumption of sensor manipulation as essential as sensor development.

Over the past decade, land-based laser scanning technologies have been actively studied and implemented, in response to the need for detailed three-dimensional (3D) data about our rural and urban environment for topographic mapping, cadastral mapping, and other street-level features, which are difficult and time consuming to measure by other instruments. For rural areas in China, the complex terrain and poor planning limit the applicability of this advanced technology. To improve the efficiency of rural surveys, we present two SSW (Shoushi and SiWei) laser scanning systems for rapid topographic mapping: stop-and-go and electro-tricycle laser scanning systems. The objective of this paper is to evaluate whether laser scanning data collected by the developed SSW systems meet the accuracy requirements for rural homestead mapping. We investigated the performance of the two laser scanning systems on Ma'anshan Village, a small, typical village in Hubei Province, China. To obtain full coverage of the village, we fused the stop-and-go and electro-tricycle laser scanning data. The performance of the developed SSW systems is described by the results of building contours extracted from the fused data against the established building vector map. [ABSTRACT FROM AUTHOR]

Driving behavior from vehicle interactions, such as acceleration, deceleration, and stop-and-go, is highly associated with traffic environment and safety conditions. This study is intended to investigate the connection between traffic environment and safety, more specifically, vehicle emissions and crash potential occurring in freeway traffic. Individual vehicle trajectory data collected from the US-101 freeway are used to investigate the relationship. Vehicle emission and crash potential indices are derived to characterize traffic environment and safety conditions, respectively, and relate those indices using correlation and regression. The resultant findings reveal that vehicle emissions are positively correlated with crash potentials in a statistically significant relationship. The methodological process for vehicle emissions and crash potential estimation developed in this study is expected to be used to monitor vehicle emissions from traffic conflict potential. Correspondingly, the methodological process is also to evaluate traffic control technology and policy implementation for improvement of transportation system efficiency with the goal of transportation emissions reduction. [ABSTRACT FROM AUTHOR]

An aging population is bringing new challenges to the management of escape routes and facility design in many countries. In this paper the movement properties of middle- and old-aged adults are studied with series of single-file movement experiments under laboratory conditions. The fundamental diagrams for two different groups of pedestrians and time-space diagrams are compared. For the groups with different composition and status, the fundamental diagrams are totally different but maintain the same trend. Active crowd leads to inhomogeneous pedestrian flow but higher flow rate, while inactive pedestrians prefer to keep pace with others or keep larger personal space, which leads to more jams and stop-and-go waves. Density and inhomogeneous of speed do not always play main roles on the appearance of stop-and-go. [ABSTRACT FROM AUTHOR]

A bifurcation analysis approach is presented based on the macroscopic traffic flow model. This method can be used to describe and predict the nonlinear traffic phenomena on the highway from a system global stability perspective. Based on a recently proposed speed gradient continuum traffic flow model, the types and stabilities of the equilibrium solutions are discussed and the existence of Hopf bifurcation and saddle–node bifurcation is proved. Then various bifurcations such as Hopf bifurcation, saddle–node bifurcation, Limit Point bifurcation of cycles, Cusp bifurcation and Bogdanov–Takens bifurcation are found and the traffic flow behaviors at some of them are analyzed. When the Hopf bifurcation is selected as the starting point of density temporal evolution, it may help to explain the stop-and-go traffic phenomena. [ABSTRACT FROM AUTHOR]

Purpose: To determine overall survival and baseline prognostic variables in a cohort of patients with metastatic colorectal cancer receiving a FLIRI-based stop-and-go treatment strategy. Methods: Clinical information was collected from patient files in consecutive patients treated with palliative combination chemotherapy using a stop-and-go strategy from September 2007 until June 2011. The primary outcome was overall survival. Cox regression analysis was used to examine the effect of prognostic variables on survival. Baseline variables were performance status, primary tumor site, status of primary tumor (resected or unresected), synchronous metastases, >1 metastatic site, liver-only metastases, alkaline phosphatase (>300 U/l), lactate dehydrogenase (>300 U/l), platelets (>400 × 10/l), and leucocytes (>10 × 10/l). Results: We included 314 patients (median age 64.5 (57-70) years). Median overall survival was 20.9 (95 % confidence interval (CI), 19.1-223.4) months with a median follow-up of 21.3 months (interquartile range (IQR) 13-34.8). Independent prognostic markers of decreased survival were PS 1 and 2 vs. 0 hazard ratio (HR) 1.47 (95 % CI 1.14-1.91, p = 0.003) and HR 2.06 (95 % CI 1.19-3.56, p = 0.01), colon as the primary tumor site HR 1.43 (95 % CI 1.09-1.88, p = 0.009), unresected primary tumor HR 2.22 (95 % CI 1.61-3.07, p < 0.001), and elevated leucocytes (>10 × 10/l) HR 1.53 (95 % CI 1.12-2.09, p = 0.007). Conclusions: Overall survival in metastatic colorectal cancer using a FLIRI-based stop-and-go strategy in an unselected consecutive cohort proved comparable to RCTs from the same period. Baseline prognostic markers of poorer prognosis were PS 1 or 2, colon as primary tumor site, unresected primary tumor, and leucocytes >10 × 10/l. These variables are all easy accessible in daily clinical practice. [ABSTRACT FROM AUTHOR]

Pure compounds isolated from complex natural plants are important for drug discovery. This study describes a novel two-dimensional hyphenation of counter-current chromatography and high-performance liquid chromatography (2D CCC × HPLC) with heart-cutting and stop-and-go techniques for preparative isolation of multiple targets components from Peucedanum praeruptorum Dunn (Umbelliferae) crude extracts in a single step. The CCC and HPLC were hyphenated via a 4-port valve equipped at the post-end of the CCC column, to heart cut the impure fractions to the 2nd dimensional HPLC for further separation. Furthermore, the stop-and-go flow scheme was applied in the 1st dimensional CCC to fit with the time constraints of the 2nd dimensional preparative HPLC. Last but not least, an optimal biphasic solvent system composed of n -heptane/acetone/water (31:50:19, v/v/v) with suitable Kd values and a higher retention of the stationary phase was chosen to separate target compounds, resulting in the improvement of the CCC column efficiency. By taking the advantages of this rationally designed system, sixteen coumarins were isolated from 1.0 g of P. praeruptorum crude extract, with HPLC purity from 90.1% to 99.5%, in a single 2D separation run. More interestingly, two minor linear coumarins and one angular coumarin were isolated from P. praeruptorum Dunn for the first time. As far as we known, this is the first report on the combination of heart-cutting technique and stop-and-go protocol in 2D CCC × HPLC system, by which good separations on comprehensive matrix were achieved. We expect that this approach may have broad applications for simultaneous isolation and purification of multiple components from other complex plant-derived natural products. [ABSTRACT FROM AUTHOR]

Terrestrial Laser Scanners (TLS) are utilized through different data acquisition techniques such as Mobile Laser Scanning (MLS) and the output can be used in different applications such as 3D city modelling, cultural heritage documentations, oil and Gas as built, etc... In this research paper, we will investigate one of the modes of TLS on mobile mapping platform. Namely the Stop-and-Go (SAG) mode. Unlike the continuous mode, the Stop-and-Go mode does not require the use of IMU to estimate the TLS attitude and thus in-turn it has an overall reduction in the system cost. Moreover, it decreases the time required for data processing in comparison with the continuous mode. For successful use of SAG mobile mapping in urban areas, it is preferred to use a long range time of flight laser scanner to cover long distances in each scan and minimize the registration error. The problem arise with Long range laser scanners is their low point cloud density. The low point cloud density affects the registration accuracy specially in monitoring applications. The point spacing between points is one of the issues facing the registration especially when the matching points are chosen manually. Since most of TLS nowadays are equipped with camera on-board we can utilize the camera to get an initial estimate of the registration parameters based on image matching. After having an initial approximation of the registration parameters we feed those parameters to the Iterative Closest Point algorithm to obtain more accurate registration result. [ABSTRACT FROM AUTHOR]

Abstract: Background: First-line oxaliplatin-based therapy is the standard treatment of metastatic colorectal cancer (mCRC), but its dose-limiting toxicity is sensory neuropathy. The OPTIMisation of OXaliplatin (OPTIMOX) stop-and-go approach with oxaliplatin-free interval (OFI) offers a reasonable strategy. Influence of the first-line oxaliplatin-based treatment efficacy and the duration of OFI on tumour sensitivity to oxaliplatin reintroduction were investigated. Methods: This was a pooled analysis of OPTIMOX1 and OPTIMOX2 studies, on 285 patients with previously untreated mCRC and FOLFOX reintroduction. An optimal OFI was estimated. Efficacy endpoints measured from reintroduction of FOLFOX included response rate (RR), progression-free survival (PFS) and overall survival (OS). Findings: Two groups of OFI <6 and ⩾6months, were defined. The RR following FOLFOX reintroduction were 14% and 22% in patients with an OFI <6 and ⩾6months, respectively (overall RR 19%). The median PFS after FOLFOX reintroduction following OFI< 6 and ⩾6months were 3.0 [95% confidence intervals (CI): 2.7–3.7] and 5.5months [95% CI: 4.8–6.5], respectively. The median OS following OFI <6months was 8.8months [95% CI: 7.5–10.5] and OFI ⩾6 was months 16.8months [95% CI: 15.3–19.6]. In the case of partial response (PR), median PFS and OS were 4.6 [95% CI: 4.1–5.0] and 14months [95% CI: 12.1–16.4], respectively, whereas in patients with initial stable disease (SD) 3.4 [95% CI: 2.7–4.7] and 10.3months [95% CI: 7.3–12.9], respectively. Interpretation: A sensitive population of patients more likely to benefit from oxaliplatin reintroduction is defined by the efficacy of induction therapy followed by an OFI of at least 6months between two periods of FOLFOX therapy. OFI of <6months identifies a subgroup of partially-resistant patients who can still benefit from oxaliplatin reintroduction. [Copyright &y& Elsevier]

Purpose Continuous treatment with FOLFOX therapy is associated with peripheral nerve toxicity, and to improve this inconvenient side effect various methods of administration are being investigated. A regimen of intermittent oxaliplatin administration by continuous infusion therapy, i.e., modified FOLFOX7 (mFOLFOX7) + bevacizumab, was designed with the goal of alleviating severe peripheral nerve disorders and hematological toxicity. A phase II clinical study was conducted to evaluate the efficacy and safety of this regimen. Methods Previously untreated patients were assigned to mFOLFOX7 (oxaliplatin 85 mg/m, levofolinate [ l-LV] 200 mg/m, 5-fluorouracil [5-FU] 2400 mg/m) + bevacizumab (5 mg/kg) administered every 2 weeks for 8 cycles, maintenance without oxaliplatin for 8 cycles, and reintroduction of mFOLFOX7 + bevacizumab for 8 cycles or until disease progression. Progression free survival (PFS) following the first dose (PFS 1) and following reintroduction of oxaliplatin (PFS 2) were used as indices for assessing the efficacy of intermittent administration. Results Fifty-two patients were enrolled, with median age of 64 years (range, 36-74). Median PFS 1 was 11.8 months (95 % confidence interval [CI], 9.5 to 13.7), median time to treatment failure was 10.3 months (95 % CI, 5.6 to 12.1), percentage of patients with neutropenia of grade 3 or higher was 7.8 %, and percentage with peripheral nerve disorders was 3.9 %. Response rate was 50 %, and 84.4 % of patients who started modified simplified LV5FU2 + bevacizumab were reintroduced to oxaliplatin. Conclusion By excluding 5-FU bolus administration and administering bevacizumab continuously the mFOLFOX7 + bevacizumab regimen with preplanned withdrawal of oxaliplatin showed high tolerability and prevented severe peripheral neuropathy and neutropenia without reducing efficacy. [ABSTRACT FROM AUTHOR]

This study was dedicated to illustrating the significance of sensor manipulation in the case of terrestrial laser scanning, which is a field now in quick development. In fact, this quickness was mainly rooted in the emergence of new sensors with better performance, while the implications of sensor manipulation have not been fully recognized by the whole community. For this technical gap, the stop-and-go mapping mode can be reckoned as one of the potential solution plans. Stop-and-go was first proposed to handle the low efficiency of traditional static terrestrial laser scanning, and then, it was re-emphasized to improve the stability of sample collections for the state-of-the-art technology of mobile laser scanning. This work reviewed the previous efforts of trying the stop-and-go mode for improving the performance of static and mobile terrestrial laser scanning and generalized their principles respectively. This work also analyzed its advantages compared to the fully-static and fully-kinematic terrestrial laser scanning, and suggested the plans with more automatic measures for raising the efficacy of terrestrial laser scanning. Overall, this literature review indicated that the stop-and-go mapping mode as a case with generic sense can verify the presumption of sensor manipulation as essential as sensor development. [ABSTRACT FROM AUTHOR]

For an adaptive cruise control (ACC) stop-and-go system in automotive applications, three radar sensors are needed because two 24 GHz short range radars are used for object detection in an adjacent lane, and one 77 GHz long-range radar is used for object detection in the center lane. In this letter, we propose a single sensor-based 24 GHz radar with a detection capability of up to 150 m and ±30° for an ACC stopand- go system. The developed radar is highly integrated with a high gain patch antenna, four channel receivers with GaAs RF ICs, and back-end processing board with subspace based digital beam forming algorithm. [ABSTRACT FROM AUTHOR]

Abstract: A new second-order traffic model is derived from a nonlinear Vlasov type equation with a source term. The homogeneous part of the system is proven to be hyperbolic. Using a vehicle speed relaxation source term the full system appears to be conditionally linearly stable with instabilities in the dense traffic region. The stability condition depends on the choice of the source term and the model parameters. Numerical experiments confirm the analysis. For a class of source terms, the system is unconditionally linearly stable but numerical experiments show the appearance of nonlinear instabilities that evolve into stop-and-go waves in the dense region. [Copyright &y& Elsevier]

Abstract: FLATModel is a 2D finite volume code that contains several original approaches to improve debris-flow simulation. Firstly, FLATModel incorporates a ‘stop-and-go’ technique in each cell to allow continuous collapses and remobilizations of the debris-flow mass. Secondly, flow velocity and consequently yield stress is directly associated with the type of rheology to improve boundary accuracy. Thirdly, a simple approach for entrainment is also included in the model to analyse the effect of basal erosion of debris flows. FLATMODEL was tested at several events that occurred in the Eastern Pyrenees and simulation results indicated that the model can represent rather well the different characteristics observed in the field. [Copyright &y& Elsevier]

FLATModel is a two-dimensional shallow-water approximation code with corrections and modifications that create a simulation tool adapted to debris-flows behaviour. FLATModel uses the finite volume method with the numerical implementation of the Godunov scheme and includes correction terms regarding the effect of flow over high slopes and curvature. Additionally, the stop-and-go phenomenon, the basal entrainment and a correction regarding the front inclination of the final deposit are incorporated into FLATModel. In addition, different flow resistance laws were integrated in the numerical code including Bingham, Herschel–Bulkley and Voellmy fluid model. Firstly, our numerical model was validated using analytical solutions of a dam-break scenario and published data on a laboratory experiment. Secondly, three real events, which occurred in the northeastern part of the Iberian Peninsula, were back-calculated. Although field observations of the three events are not very detailed, the back-analyses revealed interesting patterns on the flow dynamics, and the numerical results generally showed good agreement with field data. Comparing the different flow resistance laws, the Voellmy fluid model presents the best behaviour regarding both the flow behaviour and the deposit characteristics. Preliminary simulation runs incorporating the effect of basal entrainment offered satisfactory results, although the final volume is rather sensitive on the selected friction angle of channel-bed material. The outcomes regarding the correction of the calculated front inclination of the final deposit showed that this implementation strongly improves the simulation results and better represents steep fronts of final deposits. [ABSTRACT FROM AUTHOR]

A vehicle cruise control strategy designed based on human drivers driving characteristics has been investigated. Human drivers driving patterns have been investigated using vehicle driving test data obtained from 125 participants. The control algorithm has been designed to incorporate the driving characteristics of the human drivers and to achieve natural vehicle behavior of the controlled vehicle that would feel comfortable to the human driver. Vehicle following characteristics of the cruise controlled vehicle have been investigated using real-world vehicle driving test data and a validated simulation package. [ABSTRACT FROM AUTHOR]

The staircases play an important role in high-building evacuation, so it is essential to study the pedestrian dynamics on the stairs. In this paper, we propose an improved heuristic-based model in the single-file staircase movement. In this model, the pedestrian cannot only adjust the desired speed according to the collision distance with the front neighbor, but also choose to stop actively when the front free stairs are not enough. The walking speed decreases with increasing density, and non-propagated stop-and-go occurs at the high density. The simulation results are in agreement with the experimental ones in Chen et al. (2017). Moreover, all the speed, distance headway and free stairs in front decrease as density increases. • Active stop to wait for free stairs. • Reversed S-shaped decrease of speed with density. • No propagation of stop-and-go wave. [ABSTRACT FROM AUTHOR]

A 69-year-old man with post-operative recurrence of lung adenocarcinoma was treated with multiple chemotherapies, including epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors. A second biopsy revealed an EGFR T790M mutation. As 10th-line chemotherapy, osimertinib was initiated. After 24 weeks, chest computed tomography (CT) revealed asymptomatic ground-glass opacities in both lobes. After four weeks of osimertinib discontinuation, imaging revealed rapid lung cancer progression. Osimertinib was resumed. After 11 weeks, CT revealed decreased lung nodules with no exacerbation of interstitial lung disease. We describe a patient who experienced transient asymptomatic pulmonary opacities during treatment with osimertinib, which was successfully managed by a "stop-and-go" approach.

The introduction of new regimens and targeted therapies has prolonged survival in metastatic colorectal cancer from 1 year during the fluoropyrimidines-only era to more than 30 months today. Avoiding the cumulative toxicity of oxaliplatin, but also the physical or psychological asthenia of prolonged chemotherapy, is currently a worthwhile management goal. Data from randomized controlled trials indicate that a formalized stop-and-go approach to the delivery of oxaliplatin does not compromise efficacy. This paper presents also a critical review of the randomized trials evaluating the place of bevacizumab and cetuximab as maintenance therapy. To conclude we recommend chemotherapy holidays only after 4 to 6 months of chemotherapy and only in the population of very good responders to the induction treatment., (Copyright © 2018 Société Française du Cancer. Published by Elsevier Masson SAS. All rights reserved.)

Spotlight synthetic aperture radar (SAR) is a proven technique, which can provide high-resolution images as compared to those produced by traditional stripmap SAR. This paper addresses a high-resolution SAR focusing experiment based on Gaofen-3 satellite (GF-3) staring data with about 55 cm azimuth resolution and 240 MHz range bandwidth. In staring spotlight (ST) mode, the antenna always illuminates the same scene on the ground, which can extend the synthetic aperture. Based on a two-step processing algorithm, some special aspects such as curved-orbit model error correction, stop-and-go correction, and antenna pattern demodulation must be considered in image focusing. We provide detailed descriptions of all these aspects and put forward corresponding solutions. Using these suggested methods directly in an imaging module without any modification for other data processing software can make the most of the existing ground data processor. Finally, actual data acquired in GF-3 ST mode is used to validate these methodologies, and a well-focused, high-resolution image is obtained as a result of this focusing experiment., Competing Interests: The authors declare no conflict of interest.