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Image annotation aims to jointly predict multiple tags for an image. Although significant progress has been achieved, existing approaches usually overlook aligning specific labels and their corresponding regions due to the weak supervised information (i.e., ``bag of labels'' for regions), thus failing to explicitly exploit the discrimination from different classes. In this article, we propose the deep label-specific feature (Deep-LIFT) learning model to build the explicit and exact correspondence between the label and the local visual region, which improves the effectiveness of feature learning and enhances the interpretability of the model itself. Deep-LIFT extracts features for each label by aligning each label and its region. Specifically, Deep-LIFTs are achieved through learning multiple correlation maps between image convolutional features and label embeddings. Moreover, we construct two variant graph convolutional networks (GCNs) to further capture the interdependency among labels. Empirical studies on benchmark datasets validate that the proposed model achieves superior performance on multilabel classification over other existing state-of-the-art methods.

This article proposes new improvements to the ECMS-based control of plug-in hybrid electric vehicles (PHEVs) using macro-level trip forecast information. First, the dynamic programming (DP) optimization is applied to a power-split PHEV model to obtain the optimal powertrain trajectories for benchmarking the energy economy of the proposed controllers. An instantaneous energy cost minimization process is then formulated to compute the optimal mix of fuel and electricity, subject to the state and input constraints. To improve the speed and accuracy of the energy management system, the Nelder-Mead simplex search algorithm is used for the instantaneous optimizations. To account for the battery capacity limitation, an adaptive electricity pricing policy is introduced to control battery discharge rate based on the remaining trip distance, average speed, and elevation forecasts. The parameters of the proposed policy are optimized for a group of 5 urban and highway drive cycles to obtain a robust controller which can serve a wide spectrum of driving patterns. To further improve the energy economy, an extended-horizon optimization algorithm is proposed to account for control input transitions between consecutive time steps. Finally, a revised speed forecast formula is implemented during the low-SOC intervals to lift battery SOC ahead of high-demand periods. The combination of the proposed schemes enables reaching over 99% average optimality compared to a finely discretized DP optimization for the adopted drive cycles, and above 98% optimality for a test PHEV drive cycle.

BACKGROUND: One of the most popular short-scar rhytidectomy techniques used nowadays is the minimal access cranial suspension (MACS) lift developed by Tonnard and Vaerpele. The technique uses purse-string sutures in combination with limited skin undermining to obtain a clear vertical tissue repositioning. Since its introduction, the technique has extensively been described and used around the world by facial plastic surgeons. Now, 18 years after its introduction, a systematic review concerning the results and complications of the MACS lift is presented to establish its current position in facial rejuvenation. METHODS: The MEDLINE, Embase, Cochrane Central, and Google Scholar databases were searched for studies evaluating the MACS lift (June 10, 2020). Outcomes of interest were long-term effect, satisfaction, and complications of the MACS lifting as determined by the patient and/or surgeon. RESULTS: Six studies were included, with 739 patients treated with the MACS lift in total. No major complications were reported, four studies did report on the occurrence of minor complications. All of the six studies reported relatively high levels of satisfaction. Three studies reported a shorter procedural duration for the MACS lift compared with the conventional facelift. In three of the six included studies, the level of evidence was low. The effect on neck rejuvenation is limited. CONCLUSION: The MACS lift can be considered a minimally invasive facelift procedure with a relatively low complication rate. The procedure, often combined with additional procedures, results in evident patient and/or surgeon satisfaction. To obtain a better desired result on an aged neck area, additional procedures are warranted.

Origami structures can transform their form and function by changing the direction of their folds. This reconfiguration can enable multifunctional robots, but doing so requires a fast, robust, and repeatable actuation method. In this article, we present an origami gripper that uses dynamic transformation to change its kinematic behavior in less than a second. We characterize individual vertices to show that the transformation is predictable and repeatable for different designs and orientations. We then apply it to a multivertex template that is capable of a wide range of shapes and motion patterns, indicating that transformation can be generalized to complex and functional machines. To demonstrate this, we built a transforming origami gripper on a robotic arm to pick up multiple objects. Demonstrations show that the gripper can quickly reconfigure between three different grasping modes and has sufficient stiffness to engage with and lift multiple objects with distinct geometries.

A synthetic air data system (SADS) is an analytical redundancy technique that is crucial for unmanned aerial vehicles (UAVs) and is used as a backup system during air data sensor failures. Unfortunately, the existing state-of-the-art approaches for SADS require GPS signals or high-fidelity dynamic UAV models. To address this problem, a novel synthetic airspeed estimation method that leverages deep learning and an unscented Kalman filter (UKF) for analytical redundancy is proposed. Our novel fusion-based method only requires an inertial measurement unit (IMU), elevator control input, and airflow angles while GPS, lift/drag coefficients, and complex aircraft dynamic models are not required. Additionally, we demonstrate that our proposed temporal convolutional network (TCN) is a more efficient model for airspeed estimation than the renowned models, such as ResNet or bidirectional long short-term memory (LSTM). Our deep learning-aided UKF was experimentally verified on long-duration real flight data and has promising performance compared with the state-of-the-art methods. In particular, it is confirmed that our proposed method robustly estimates the airspeed even under dynamic flight conditions where the performance of conventional methods is degraded.

At present, container handling facilities are huge in size, low in automation, and complicated to operate, which are not suitable for applications in the limited spaces. Inspired by humans’ flexible collaboration when carrying a heavy and large object, in this article we devise a novel dual-forklift collaborative mechanism to address this problem. Specifically, we design a turn lock and hydraulic lifting structure to enable a rigid connection between each forklift and the target container, deploy a four-wheel steering structure in each forklift for omnidirectional motion, and construct a novel vision system by leveraging both RGB camera and time-of-flight depth camera. Furthermore, to provide visual feedback to the controller such that the dual forklift can connect, lift, and handle the container successfully, we devise a coarse-to-fine container detection and corner junction location model. Experiments demonstrate that our model outperforms representative models in terms of both precision and efficiency. Besides, the designed dual-forklift system can accomplish the handling tasks at narrow spaces, confirming its practical value in industrial applications.

Dr. Michael Reinhorn performs a pilonidal cleft lift procedure, thoroughly describing the pre-op, post-op, and intraoperative steps, on a young man who pre

In Bangladesh, groundwater is the main source of both drinking water and irrigation. Suction lift pumps and force mode of operation are the predominant technologies for groundwater abstraction in Bangladesh. For a sustainable usage policy, it is thus important to identify which technology would be more appropriate for which area in Bangladesh. With that aim in mind, this paper proposes a methodology that leverages the power of machine learning that can potentially learn intricate relationships between the (annual maximum) groundwater level (GWL) and the relevant hydrogeological factors (HGFs). A number of machine learning algorithms—both classification and regression models—was trained. Our classification models were trained as a binary classifier to predict the abstraction technology of a particular point. Notably, our best classification model was based on the Random Forest algorithm, which achieved an accuracy of 91% and an excellent value of 96% for the area under receiver operating characteristics curve, indicating its strong discriminant capability. We also identified (elevation derived from) digital elevation model, specific yield and lithology as the three most important HGFs for GWL in Bangladesh. On the other hand, to predict the actual (annual maximum) GWL, we employed a two-stage approach, where we first employed the above-mentioned classification model to identify the suitable abstraction technology for the point of interest and subsequently predict the actual GWL using the appropriate Random Forest regressor. This also had a reasonable accuracy (minimum absolute error was less than 1 for suction mode and less than 5 for the force mode). Finally, using our prediction models, we prepared groundwater (technology) maps for the whole Bangladesh.

This paper addresses the analysis of the design, manufacture, and assembly (DFMA) of the tray for a vertical lift module (Tray VLM), being a subassembly of this automatic VLM storage system. The method used for DFMA analysis is the Boothroyd Dewhurst method, using their software. Based on the recommendations of the DFMA software, following the study on the current Tray VLM product, several components were redesigned using the Design for Manufacture (DFM) module and certain stages for assembly were optimized, using the design for Assembly module (DFA). The result was reduced assembly cost, reduced assembly process time, and increased assembly design efficiency, which were successfully validated by DFMA software by maximizing the DFA index

Supplemental Digital Content is available in the text., Background: The composite face lift is becoming increasingly popular following recent advances in understanding of facial anatomy that enable safe sub-superficial musculoaponeurotic system (SMAS) dissection. This article presents the authors’ technique for composite face lift in Asian patients and reviews their experience and outcome with this procedure. Methods: Composite face lifts were performed on 128 Asian patients between January of 2010 and June of 2020. Ninety-four were primary face lifts, and 34 were secondary or tertiary face lifts. The authors’ surgical technique and adaptations for the specific requirements of Asian patients are described in detail. The mean follow-up was 26 months (range, 6 to 108 months). Fat grafting was an integral part of our procedure, with 95 percent having concomitant facial fat grafting with their face lift. Results: Patients were followed up in accordance with a standardized schedule. The majority of patients reported high satisfaction with the aesthetic outcome of the technique, with natural, long-lasting results. The face lift plane of dissection is through the facial soft-tissue spaces, which provide atraumatic sub-SMAS access with precise release of the intervening retaining ligaments for effective flap mobilization. By emphasizing tension on the composite flap with no tension on the skin closure, the scars were discrete in the great majority of patients. Complications were few, with no hematomas or skin flap necrosis. The temporary nerve injury rate was 1.5 percent, with no patient having a permanent nerve injury. Conclusion: The composite face lift is an ideal technique for Asian patients, as it delivers natural, long-lasting results; a quick recovery; and high patient satisfaction. CLINICAL QUESTION/LEVEL OF EVIDENCE: Therapeutic, IV.

Background Body-contouring is a surgical field in growing demand, as the number of massive weight loss patients following bariatric surgery is increasing. The purpose of this study was to provide a straightforward and time-efficient circumferential body lift technique to achieve optimal lower truncal contouring. Patients and methods A total of 155 massive weight loss patients (133 women and 22 men) underwent lower body lift surgery between 2006 and 2018. The mean preoperative weight reduction and body mass indices were 56.5 ± 16.6 kg and 26.7 ± 4.7 kg/m2, respectively. The preoperative markings focused on the back and gluteal region, and the modified surgical technique are described. Additionally, improvements of intra-operative repositioning of the patient and how to deal with sterilization and dressings are elucidated. Results The average intra-operative time was 178 ± 54.6 minutes. The mean follow-up of all patients was 8.2 ± 2.4 years. The most common complications were related to wound dehiscence (n = 38) and seroma (n = 18). The mean weight of the resected tissue was 3 056 ± 1 816.5 g. Conclusion The lower body lift represents an effective and safe body contouring procedure to treat massive weight loss patients with multiple regions of concern. The current study describes a modified surgical technique that reduces operating time and complications, notably. Level of evidence iv This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors http://www.springer.com/00266 .

Current trends in microelectronics chip bonding and assembly encompass ultra-fine pitch components with flexible form factors and advanced die-attach materials, which can sustain conformal strain without compromise in adhesion and reliability. These trends have highlighted the need for advanced microfrabrication technologies, which allow the on-demand digital fabrication of interconnections and die-attach bumps on chip carriers and interposers with challenging topographies. Laser printing, based on the laser induced forward transfer (LIFT) technique, has addressed such micromanufacturing challenges over the past decade. Several previous demonstrations of highly resolved and conformal interconnections for the bonding and packaging of micro and opto-electronic components are summarized in this paper. Latest advances in the laser printing and laser sintering of highly viscous nanopastes for achieving planar or three-dimensional (3D) structures consisting of Ag paste are demonstrated. The latter is achieved by stacking of arrays or bumps in a digital manner. The reported results verify that LIFT offers control over both the lateral and vertical dimensions. This control can facilitate the soldering process of heterogeneous components, whose pads have significant height and pitch dissimilarities. The applicability of LIFT in the fields of packaging and assembly of flexible and heterogeneous integration schemes, is further validated.

This study investigates the correlation between the Edmonton Obesity Staging System (EOSS) and the occurrence of postoperative complications after medial thigh lift in formerly obese patients.A single-institution retrospective review of patients undergoing medial thigh lift between 2009 and 2019 after massive weight loss. Data on demography, comorbidities, surgery, and postoperative outcome were extracted from patients' charts. Patients were grouped into EOSS categories. Complications were classified into minor and major. Logistic regression analysis was performed to determine the association between risk factors and complications.One hundred and eight patients were included in the study. Complications occurred in 76 (70%) of the patients, most of which were minor (60/108, 56%). Complications increased with increasing EOSS stage, and all EOSS 3 patients had complications. Classification as EOSS 2 or 3 significantly associated with occurrence of postoperative complications (OR 99.3, p0.001) as well as minor and major complications individually (OR 3.1 and 6.5, p0.05). This effect was independent of body mass index (BMI), maximum BMI loss, type of weight loss, volume of liposuction, weight of resected tissue, and type of surgery.EOSS is a robust and independent predictor for postoperative complications in medial thigh lift surgery after massive weight loss.

THEPURPOSE.To consider the problems of controlling the energy efficiency of artificial oil lift. To conduct a comparative analysis of the approaches used to assess the level of energy efficiency and the possibility of energy saving. To submit to a modern possible energy efficiency control system. To identify an effective method for verifying energy efficiency indicators. To propose a concept of an automated control system for energy efficiency of artificial oil lift based on intelligent methods of data analysis.METHODS.Whensolvingtheproblem,themethodoffactoranalysisofspecificpowerconsumption,implementedina model, was used.RESULTS.Thearticledescribestherelevanceofthetopic,considersthefeaturesoftheuseofvariousindicatorsofenergyefficiency.A model of factors for specific power consumption has been developed. In this article, a concept of an automated energy efficiency control system based on intelligent methods has been proposed.CONCLUSION. Usingtheindicatorofspecificelectricityconsumptionforartificialoillift,asanindicatorofenergyefficiency,makesitpossibletoassessthecurrentlevelofenergyefficiencyandidentifythepotentialforfurtherenergysaving.To control the specific consumption of electricity at the mechanized stock of production wells, it is necessary to implement systemic energy metering, additional factor analysis of deviations from the planned values. Using of intelligent methods of data analysis selects the factors of deviation of the specific power consumption and ensures the reliability of energy efficiency control.

The ability for ground vehicles to identify terrain types and characteristics can help provide more accurate localization and information-rich mapping solutions. Previous studies have shown the possibility of classifying terrain types based on proprioceptive sensors that monitor wheel-terrain interactions. However, most methods only work well when very strict motion restrictions are imposed including driving in a straight path with constant speed, making them difficult to be deployed on real-world field robotic missions. To lift this restriction, this letter proposes a fast, compact, and motion-robust, proprioception-based terrain classification method. This method uses common on-board UGV sensors and a 1D Convolutional Neural Network (CNN) model. The accuracy of this model was further improved by fusing it with a vision-based CNN that made classification based on the appearance of terrain. Experimental results indicated the final fusion models were highly robust with strong performance, with over 93% accuracy, under various lighting conditions and motion maneuvers.

A high precision and compact IOT based digital instrumentation setup to measure, display and record various tractor and implement system performance parameters was developed and installed on a 28.3 kW Tractor. The setup was capable of continuous monitoring and wirelessly transmitting tractor-implement performance parameters on a cloud platform such as engine speed, radiator fan speed, fuel consumption, draft, forward speed, lift arm angle, wheel slip, wheel slip, PTO speed, geo-location/position of the tractor, choking of seeds in the implement and vibrations experienced by the implement. For precision measurements, commercial transducers used in the system were calibrated and assessed under both static and dynamic conditions. The average calibration constant for fuel consumption, forward speed, lift arm angle and load cell were 0.00009804 L/pulse, 0.01610306 km/h/pulse, 0.056 mA/degree and 0.2575 mV/kN respectively. The system based on DataTaker DT 85 Data logger connected to a micro-computer through transducers capable of transferring data wirelessly was installed on John Deere 5038 tractor and was tested with a Spatially Modified No-Till Drill in agricultural field with varied implement depth.

In northern Canada, due to the harsh weather and high labor cost, contractors prefer to using modular construction approach to complete heavy industrial projects, where mobile crane are used for onsite module installations. In current practice, module lifts are often planned manually by rigging engineers. With a large number of heavy lifts to be analyzed per project, the planning process is tedious and error prone. This paper represents a data-driven crane management system with three features: (1) identification of design errors in lifting planning; (2) responses to design changes; and (3) dynamic 3D trajectory-based lifting visualization. It covers two types of crane operations: pick from a fixed location, and pick and walking operation. This developed system helps reduce lifting time and improves safety and quality, where various lifting scenarios need to be analyzed. The system has been implemented at a collaborator company for demonstration and validation.

In this study, we explore the changes in the earlobe segments following an extended superficial musculoaponeurotic system (SMAS) face-lift and neck lift. We proposed to delineate the effect of the cheek and neck skin tension vectors on the earlobe based on the amount of excised skin length. A retrospective study identified patients who underwent extended SMAS rhytidectomy performed by the senior author (A.M.) at the Cosmetic Plastic Surgery Institute (CPSI) from 2017 to 2020. A total of 34 North American Caucasians, who had preoperative and postoperative photographs available for comparison, were evaluated. Preoperative and postoperative cephalic (the distance from the intertragal notch to the otobasion inferius, abbreviated as I to O) and caudal earlobe segment (the distance from the otobasion inferius to the subaurale, abbreviated as O to S) heights were collected. The change from the postoperative to preoperative measurements was calculated. The effects of the degree of cheek skin (superior ear [SE]) and neck skin (mastoid peak [MP]) excision lengths were then determined by comparing the change in I to O and O to S. The postoperative attached cephalic segment (15.94 ± 1.02 mm) increased significantly compared with the preoperative attached cephalic segment (12.99 ± 1.03 mm). The postoperative free caudal segment (3.62 ± 0.81 mm) decreased significantly compared with the preoperative free caudal segment (5.44 ± 0.95 mm). The SE median was found to be 3.0 cm and the MP median was found to be 3.5 cm. I to O increased by 3.85 mm for SE ≤3.0 cm compared with only 1.57 mm for SE >3.0 cm. O to S decreased by 2.79 mm for SE ≤3.0 cm compared with only decrease of 0.14 mm for SE >3.0 cm. I to O increased by only 1.67 mm for MP < 3.5 cm. O to S decreased less dramatically by 0.55 mm for MP ≤3.5 cm compared with decrease of 2.39 mm for MP >3.5 cm. These data demonstrate that more aggressive SE >3.0 cm cheek excision lengths resulted in a protective effect on decreasing the free caudal segment of the earlobe. More aggressive excisions of the cheek demonstrate a protective effect on preserving the free earlobe caudal segment, whereas more aggressive neck skin excisions result in higher propensity for loss of the free earlobe caudal segment. In our study, we demonstrate findings observed with clinical observations that a face-lift and neck lift will result in increase in the attached cephalic earlobe segment height (I to O) and a decrease in caudal free earlobe segment height (O to S). These findings may assist plastic surgeons when trying to fine-tune the earlobe aesthetics during face-lift and neck lift. If the patient has a small free hanging earlobe, the more aggressive pull on the cheek flap will result in less reduction in the earlobe hang.

INTRODUCTION: A stula-in-ano, is a chronic abnormal communication, usually lined by granulation tissue, which runs outwards from the anorectal lumen. The standards of anal stula surgery are to obliterate the stula, prevent recurrence and maintain sphincter work. Ligation of Intersphincteric Fistula Tract (LIFT) is the most promising surgical technique based on secure closure of the internal opening and removal of the infected crypto glandular tissue through intersphincteric approach. AIMS: To compare the effectiveness of LIFT over SETON procedure based on Postoperative pain on day 1 and2, Short term recurrence, Healing, Procedural visits PATIENTS AND METHODS: A prospective, single centered, interventional study in 60 patients with stula-in-ano admitted to general surgical wards in Narayana Medical College and Hospital, Nellore. From November 2018 to November 2020. Patients were divided into two groups, group A including patients undergoing LIFT procedure and group B, including patients undergoing SETON placement of Fistula-in- ano. RESULTS: Maximum patients were in 41-60 years in the LIFT Group 18(60%), 51-60 years in the SETON group 12(40%). Maximum patients were male 21 in each group (70%), and female were 9 in each group (30%). In the present study, Visual Analog Scale (0,1,2,3) in LIFT group on POD 1, were 2, 20, 6, 2 and in SETON group on POD 1 were 0, 9, 16, 5 respectively. Similarly, visual analogue scale (0,1,2,3) in LIFT group on POD 2, were 19.8.3.0 and in SETON group on POD 2 were 5, 20, 5, 0respectively. Patients who underwent LIFT procedure had a satisfactory postoperative period and the wound healed in all the cases. CONCLUSION: we conclude that LIFT gives good outcomes in terms of Postoperative pain on day 1 and 2, wound healing rate, single time procedure and recurrence during our short follow-up period of 6 months.

While it is well established that societal restrictions have been effective in reducing COVID-19 emergency demand, evidence also suggests an impact upon emergency demand not directly related to COVID-19 infection. Hospital planning may benefit from a greater understanding of this association and the ability to reliably forecast future levels of non-COVID-19 demand. Activity data for Accident and Emergency (A&E) attendances and emergency admissions were sourced for all hospitals within the Bristol, North Somerset and South Gloucestershire healthcare system. These were regressed upon publicly available mobility data obtained from Google's Community Mobility Reports for the local area. Seasonal trends were controlled for using time series decomposition. The models were used to predict non-COVID-19 emergency demand under the UK Government's plan to sequentially lift all restrictions by 21 June 2021, in addition to three alternative hypothetical relaxation strategies. Rates of public mobility within the local area were shown to account for 77% and 65% of the variance in non-COVID-19 related A&E attendances and emergency admissions respectively. Modelling supports an increase in emergency demand in line with the level and timing of societal restrictions, with significant increases to be expected upon the ending of all legal limits. This study finds that non-COVID-19 emergency demand associates with the level of societal restrictions, with rates of public mobility representing a key determinant. Through predictive modelling, healthcare systems can improve their demand forecasting in effectively managing hospital capacity.

Background Patients desire face-lifting procedures primarily to appear younger, more refreshed, and attractive. Because there are few objective studies assessing the success of face-lift surgery, the authors used artificial intelligence, in the form of convolutional neural network algorithms alongside FACE-Q patient-reported outcomes, to evaluate perceived age reduction and patient satisfaction following face-lift surgery. Methods Standardized preoperative and postoperative (1 year) images of 50 consecutive patients who underwent face-lift procedures (platysmaplasty, superficial musculoaponeurotic system-ectomy, cheek minimal access cranial suspension malar lift, or fat grafting) were used by four neural networks (trained to identify age based on facial features) to estimate age reduction after surgery. In addition, FACE-Q surveys were used to measure patient-reported facial aesthetic outcome. Patient satisfaction was compared to age reduction. Results The neural network preoperative age accuracy score demonstrated that all four neural networks were accurate in identifying ages (mean score, 100.8). Patient self-appraisal age reduction reported a greater age reduction than neural network age reduction after a face lift (-6.7 years versus -4.3 years). FACE-Q scores demonstrated a high level of patient satisfaction for facial appearance (75.1 ± 8.1), quality of life (82.4 ± 8.3), and satisfaction with outcome (79.0 ± 6.3). Finally, there was a positive correlation between neural network age reduction and patient satisfaction. Conclusion Artificial intelligence algorithms can reliably estimate the reduction in apparent age after face-lift surgery; this estimated age reduction correlates with patient satisfaction. Clinical question/level of evidence Diagnostic, IV.

BACKGROUND: Evidence for the adoption and acceptance of assistive devices for ladder lifting tasks by workers is scarce. OBJECTIVE: This study aims to investigate the technology acceptance and usability of a powered and automated cargo management system (RazerLift®) used by workers who need to lift ladders as part of their daily duties, as compared to mechanical cargo management systems (traditional). METHODS: We used a one-way repeated measures design in this study. Our primary outcome variable was a usability performance measurement measured as time (in seconds) for unloading and loading ladders using both systems. Our secondary outcome was technology acceptance, measured using questionnaires with a 5-point Likert scale: “strongly disagree (1)” to “strongly agree (5)”. RESULTS: The participants conducted the combined unloading and loading time using the powered and automated system (RazerLift®) 20.85 seconds faster than the traditional system (p-value = 0.000, t-value (df) = –5.730 (6), d = 2.713). Overall, the RazerLift® system (mean = 44.28, SD 5.58) had a higher technology acceptance compared to the traditional system (mean = 30.00, SD 7.91), (p = 0.041, t-value (df) = 6.589 (6), d = 4.60). CONCLUSIONS: The RazerLift® was more time efficient compared with the traditional system, and (2) the RazerLift® was superior in terms of technology acceptance compared to the traditional system.

Under the cyclic traffic loads, welded structural components of steel bridges may encounter fatigue, which can cause a shorter service life and lead to fracture. A precise fatigue life prediction of structural components requires an accurate collection of stress cycles of the respective component. The density of sensors installed for monitoring the component and the distance to the concentrated stress areas are the features, which impact the efficacy of the estimated fatigue life. In this study, a platform is developed for the data-driven fatigue assessment of welded structural components of steel bridges, using artificial neural networks (ANN). The proposed algorithm is implemented for a case study, vertical lift truss bridge, the Memorial Bridge, Portsmouth, NH. A 12-month data collection period is utilized for the algorithm, from the long-term SHM program of the bridge. The stress cycles are used to estimate fatigue responses of an instrumented structural component of the bridge and determine the correlation between the estimated fatigue responses at the instrumentation plan. Additionally, a validated finite element model of the bridge is utilized to investigate fatigue responses in the unhealthy condition of the objective component. Therefore, multiple physical damage cases are simulated to compute the damage-induced stresses and the resulting fatigue life. The healthy and damaged fatigue responses are the ANN inputs, to detect crack-induced variation in the estimated fatigue responses at the instrumented locations. It is demonstrated that the proposed damage detection method can effectively detect possible fatigue cracks using a detailed database of damaged and healthy fatigue damage indices for training ANNs.

Inspite of common lifting advice to maintain a lordotic posture, there is debate regarding optimal lumbar spine posture during lifting. To date, the influence of lumbar posture on trunk muscle recruitment, strength and efficiency during high intensity lifting has not been fully explored.How do differences in lumbar posture influence trunk extensor strength (moment), trunk muscle activity, and neuromuscular efficiency during maximal lifting?Twenty-six healthy participants adopted three lumbar postures (maximal extension (lordotic), mid-range (flat-back), and fully flexed) in a free lifting position. Motion analysis and force measurements were used to determine the back extensor, hip and knee moments. Surface electromyography (EMG) of three trunk extensors and the internal obliques were recorded. Neuromuscular efficiency (NME) was expressed as a ratio of normalised extensor moment to normalised EMG.Significantly higher back extensor moments were exerted when moving from an extended to mid-range, and from a mid-range to fully flexed lumbar posture. This was accompanied by a decrease in activity across all three back extensor muscles (P 0.001) resulting in a higher NME of these muscles in more flexed postures. Change in lumbar posture did not influence hip or knee moments or internal oblique activation.A flexed-back posture is associated with increased strength and efficiency of the back muscles compared to a lordotic posture. These findings further question the manual handling advice to lift with a lordotic lumbar spine.

Facial rejuvenation procedures have become more commonly performed due to an increasing elderly population and greater general public acceptance. As a result, patients are now increasingly undergoing secondary and tertiary rhytidectomies to treat natural aging and/or to correct complications from prior procedures. Revision face and neck lifts are more complex by nature of the procedure and require a comprehensive preoperative assessment for enhanced outcomes. In this review, we discuss the preoperative evaluation, surgical challenges encountered, primary face and neck lift deformities, and their surgical management for patients undergoing secondary face and neck lifts.

In this work, we introduce Laser Induced Forward Transfer (LIFT) of Liquid Metal (LM) alloys, specifically Eutectic Gallium-Indium (EGaIn). LIFT for LM provides a fairly simple manufacturing method with better control and modularity for patterning LMs compared to existing methods such as imprinting, and extrusion. LIFT is a direct-write printing method which is used for a wide range of applications, such as, laser printing of electronic materials, biomolecules, and cells. Our preliminary results demonstrate great potential of LIFT process for LM deposition and patterning, and can help achieve finer and scalable features with high throughput.

Establishing of a lift net as a business in the field of marine and fisheries, as well as producing fish by following the conditions of the sea and weather which can change and affect production activities so as to provide income that is uncertain and difficult to predict. Therefore, this research was conducted with the aim to find out whether fish production using this lift net can be said to be feasible in the aspects of law, market and marketing, management, technical and operational, economic, social, EIA, and finance. Before recommending to investors, an investment feasibility analysis is needed to determine the level of feasibility. The analysis was carried out with 10-year projections using a pessimistic, moderate and optimistic scenario. Some things that need to be done are, legalizing business activities, designing marketing strategies, knowing technical and operational activities, determining four management functions, knowing the positive economic, social impacts, negative impacts on the environment and determining future sales estimates calculating profit / loss, cash flows, financial feasibility assessment (NPV, IRR, PP and PI) and sensitivity analysis. After the analysis, it was found that this investment is feasible and can be recommended in every scenario and of course the optimistic scenario produces is better level of feasibility compared to other scenarios. Keyword: Feasibility Analysis, Invesment, Lift Net, Fishing Industri., Penataan jaring angkat sebagai usaha di bidang kelautan dan perikanan, serta memproduksi ikan dengan mengikuti kondisi laut dan cuaca yang dapat berubah dan mempengaruhi kegiatan produksi sehingga memberikan pendapatan yang tidak pasti dan sulit diprediksi. Oleh karena itu, penelitian ini dilakukan dengan tujuan untuk mengetahui apakah produksi ikan dengan menggunakan jaring angkat ini dapat dikatakan layak dari aspek hukum, pasar dan pemasaran, manajemen, teknis dan operasional, ekonomi, sosial, amdal, dan keuangan. Sebelum merekomendasikan kepada investor, diperlukan analisis kelayakan investasi untuk mengetahui tingkat kelayakannya. Analisis dilakukan dengan proyeksi 10 tahun menggunakan skenario pesimis, moderat dan optimis. Beberapa hal yang perlu dilakukan adalah, legalisasi kegiatan usaha, merancang strategi pemasaran, mengetahui kegiatan teknis dan operasional, menentukan empat fungsi manajemen, mengetahui dampak positif ekonomi, sosial, dampak negatif terhadap lingkungan dan menentukan perkiraan penjualan di masa mendatang dengan menghitung untung / rugi. , arus kas, penilaian kelayakan finansial (NPV, IRR, PP dan PI) dan analisis sensitivitas. Setelah dilakukan analisa, ditemukan bahwa investasi ini layak dan dapat direkomendasikan pada setiap skenario dan tentunya skenario optimis menghasilkan tingkat kelayakan yang lebih baik dibandingkan dengan skenario lainnya. Kata Kunci: Analisis Kelayakan, Investasi, Lift Net, Industri Perikanan.

The method which I created and use in my daily routine, it’s a Soft-Surgery approach. The access can be made through an operculum or a mucoperiosteal flap, followed by an invitation to the alveolar crestal bone with a drill using different size burs and to avoid the breaking of the floor of the sinus and tearing of the schneiderian membrane, is important to stop a few millimeters from it

Introduction Efficacy of the ligation of intersphincteric fistula tract (LIFT) procedure for posterior fistula-in-ano remains under debate. However, there is scarcity of quality evidence analysing this issue. Thus, the aim of this study is to evaluate outcomes of LIFT surgery in patients with posterior anal fistula. Material and methods Systematic review and meta-analysis to evaluate efficacy of LIFT procedure for posterior anal fistula. MEDLINE (PubMed), EMBASE, Scopus, Web of Science, Cochrane Library and Google Scholar data sources were searched for key-words (MeSH terms): “LIFT” OR “Ligation of the intersphincteric fistula tract” AND “posterior anal fistula” OR “posterior fistula-in-ano”. Original, observational and experimental, non-language restriction studies published from January 2000 to March 2020 and reporting outcomes on LIFT procedure for posterior anal fistula were reviewed. Quality and potential biases were assessed using Newcastle-Ottawa scale, following AHRQ recommendations. Additional sensitivity analysis and publication bias evaluation (Beg and Egger’s test) were performed. Results No significant differences were found in recurrence rate among patients undergoing LIFT procedure for posterior fistula-in-ano in contrast to other locations (OR 1.36 [95%CI 0.60–3.07]; P = .46). I2 test value was 77%, expressing a fair heterogeneity among included studies. The weighed median for overall recurrence was 37.8% (IQR 18.3%-47.7%); with a weighed median of 47.1% (IQR 30.7% - 63.7%) and 36.3% (IQR 15.8%-51.3%) (P= .436) respectively for recurrence after LIFT for posterior fistula and fistula in other locations. There was not clear evidence about the sample size (n) of included studies nor the disparities in quality assessment of those, could justify the observed heterogeneity. No significant publication bias was found. Conclusion This systematic review and meta-analysis suggests that there are no clear data in the literature for not performing the LIFT procedure in posteriorly located fistulas.

BACKGROUND There is extensive literature on different face-lift techniques; however, few articles published in the English language address the particularities of the face-lift for Chinese patients. Because of differences in facial anatomy, facial aging, and patient expectations, facial rejuvenation procedures for Chinese patients can be quite different from those of White patients. METHODS The study includes 1026 consecutive primary face-lift cases performed by the senior author (D.Y.) from 2006 to 2019. Of these, 1010 patients were female and 16 were male. The average age of the patient at the time of primary face-lift was 40.5 years. The face-lift procedures included midface lift in 108 cases, midface and lower-face lift in 882 cases, and midface and lower-face lift with brow lift in 36 cases. All patients received superficial musculoaponeurotic system (SMAS) treatment, in the form of lateral SMASectomy in 607 cases, high-SMAS technique in 84 cases, modified high-SMAS short-scar technique in 108 cases, minimal access cranial suspension technique in 38 cases, and modified minimal access cranial suspension technique in 189 cases. Photographs of patients were analyzed to assess persistent features of facial aging. Complications such as hematoma, skin slough, infection, and nerve injury were also reviewed. RESULTS Most patients obtained consistently good results with minimal risk and complications. All surgical techniques discussed were safe and reproducible, providing various options for surgeons. CONCLUSIONS Special attention should be taken when planning a facial rejuvenation procedure for Chinese patients. Anatomic variations dictate a greater emphasis on the management of tissue ptosis, particularly regarding lateral brow descent and malar fat pad descent. In our practice, various face-lift techniques can produce excellent results. Surgeons must adopt a technique that serves patients well and is, ideally, safe, consistent, easily reproducible, and applicable to various anatomic problems. In addition, every surgery is customized to the patient's anatomy and concerns. Therefore, the surgeon must adopt individualized technique according to the needs and desires of each patient.

The COVID-19 pandemic has affected the entire world causing substantial numbers of cases and deaths in most countries. Many have implemented nationwide stringent control to avoid overburdening the health care system. This has paralyzed economic and social activities and may continue to do so until the large-scale availability of a vaccine. We propose an alternative exit strategy to develop herd immunity in a predictable and controllable way: a phased lift of control. This means that successive parts of the country (e.g. provinces) stop stringent control, and COVID-19-related IC admissions are distributed over the country as a whole. Importantly, vulnerable individuals need to be shielded until herd immunity has developed in their area. We explore the characteristics and duration of this strategy using a novel individual-based model for geographically stratified transmission of COVID-19 in a country. The model predicts that individuals will have to experience stringent control for about 14 months on average, but this duration may be almost halved by further developments (more IC beds, better treatments). Clearly, implementation of this strategy would have a profound impact on individuals and society, and should therefore be considered carefully by various other disciplines (e.g. health systems, ethics, economics) before actual implementation.

The study describes the strata mechanics and convergence monitoring while depillaring in a single lift of thick coal seam by cable bolting method. Based on the rock mechanical investigation, the use of a 19-mm diameter rope as support was applied to hold the immediate roof over the coal seam. The field application was carried out in Bonbohal (R-VI) seam of the case study mine for the extraction of full thickness by a single lift considering geotechnical parameters. The rate of percentage of extraction was found at 68%, and simultaneously, no spontaneous heating was observed during the extraction of the pillars. Thus, this paper deals with the cable bolting method to extract thick coal seam by depillaring in a single-lift operation. Therefore, the result of the study of convergence behavior will help to design the depillaring panels. A support system and strict observation of the reading of strata monitoring instruments will help to take corrective measures in advance during extraction as well as provide insight for future extractions more safely and efficiently.

The objective of this study is to analysis of accident of motorcyclists on Bogotá roads in Colombia. For detection of conditions related to crashes and their severity, the proposed model develops the strategies to enhance road safety. In this context, data mining and machine learning techniques are used to investigate 34,232 accidents by motorcyclists during January 2013 to February 2018. Both the Genetic algorithm and simulated annealing are applied in conjunction with mining rules (support, confidence, lift, and comprehensibility) as per objectives of the problem. The application of a hybrid algorithm allows for the creation and definition of optimal hierarchical decision rules for the prediction of the severity of motorcycle traffic accidents. The proposed method yields good results in the metrics of recall (90.07%), precision (89.87%), and accuracy (90.06%) on the data set. The results increase the prediction by 20–21% in comparisons with the following methods: Decision Trees (CART, ID3, and C4.5), Support Vector Machines (SVMs), K-Nearest Neighbor (KNN), Naive Bayes, Neural Networks, Random Forest, and Random Tree. The proposed method defines 11 rules for the prediction of accidents with material damage, 24 rules with injuries, and 12 rules with fatalities. The variables with the most recurrence in the definition of rules are time, weather and road conditions, and the number of victims involved in the accidents. Finally, the interactions of the conditions and characteristics presented in motorcycle accidents are analyzed which contribute to the definition of countermeasures for road safety. © 2021, Springer-Verlag GmbH Germany, part of Springer Nature.

Due to lack of time in physical education class as well as the decreased amount of physical education class students have a week, students are not receiving adequate amounts of daily physical activ...

Background: A hospital randomized control study was conducted at a tertiary care Hospital, to compare outcomes between the Ligation of Intersphincteric Fistula Tract (LIFT) technique and conventional fistulotomy for the treatment of low trans-sphincteric fistula in ano, including 50 patients of low trans-sphincteric fistula in ano randomly divided into two groups. LIFT technique was used in first group while Conventional Fistulotomy was performed in another. Mean duration of operation was significantly less and mean hospital stay, post-operative pain and analgesics need was significantly less in cases operated with LIFT. Mean time for complete healing was significantly less in cases operated with LIFT technique and the difference in complication rate was statistically nonsignificant. Recurrence was reported in 3 (12%) and 1 (4%) cases operated by LIFT and fistulotomy respectively. Ligation of Intersphincteric Fistula Tract (LIFT) procedure is effective and preferred sphincter saving technique for fistula-in-ano. Despite slightly more recurrence, LIFT procedure has certain advantages over standard fistulotomy like shorter operative time, less postoperative pain, shorter hospital stay and faster wound healing and early resumption of normal duties.

In this article, we present an incentive mechanism for Vehicular Crowdsensing in the context of autonomous vehicles (AVs). In particular, we propose a solution to the problem of sensing coverage of regions located out of the AVs’ planned trajectories. We tackle this problem by dynamically modifying the AVs’ trajectories and collecting sensing samples from regions otherwise unreachable by originally planned routes. We model this problem as a non-cooperative game in which a set of AVs equipped with sensors are the players and their trajectories are the strategies. Thus, our solution corresponds to a model in which expected individual utility drives the mobility decision of participants. Using open-street maps, SUMO vehicular traffic simulator, and extensive simulations, we show our algorithm significantly outperforms traditional approaches for trajectory generation. In particular, our performance evaluation shows a significant lift in crowdsourcer coverage, road utilization, and average participant utility.

This paper introduces the sea-launch technology of a cryogenic liquid-fueled medium-lift rocket. It first reviews the current state of sea launch technology, and then gives a brief introduction of China’s New Generation Medium-lift Launch Vehicle (NGMLV). The innovations in the NGMVL, such as responsive test and launch control, a H3 launch model, and unmanned operations, provide convenience for sea launches. Based on these innovations, this paper proposes a sea launch scheme, including the system configuration, test and launch processes, and an improved adaptive design for the rocket. Then, the launch platform is discussed in detail, which integrates the functions of sea transportation, assembly and test, as well as technical and launch areas. The layout and function divisions, fluid filling, gas supply and distribution systems, and lossless storage technology of LH2 are described in order. This breakthrough in sea launch technology will enable China to launch medium and large satellites and constellations ‘both on land and sea’, especially into low-inclination Low-Earth Orbits (LEOs), and it allows China to remain competitive in the fast-paced space industry.

Lift (or elevator) breakdowns cause huge inconveniences to city dwellers and affect more than 80% of Singapore's residents who live in high-rise apartments. Unfortunately, lift maintenance today is either preventive (e.g., follows a fixed cycle based on statistics) or reactive (the faults are fixed after they happen).

With the ever-growing number of elevators coupled with the aging workforce, diminishing new installations and limited use of maintenance technology, it is increasingly challenging for the owners and responsible parties to maintain the safe and reliable operation of the lift systems. To address this issue, a non-intrusive artificial intelligence (AI) based diagnosis system, aiming at providing fault detection and potential fault prediction for multi-brand lifts without intervening the existing circuitry of the lift installations, is proposed in this paper. The proposed system employs the multivariate long short term memory fully convolutional network (MLSTM-FCN) to learn and analyze the measured signals from the non-intrusive detection system of the elevators. It is capable of (i) giving advance and clear warnings of corrective actions to prevent major equipment breakdowns, and (ii) indicating just-in-time maintenance for enhancing the lift reliability at a low cost. The implementation of the non-intrusive detection system is provided. The design of the diagnostic algorithm is elaborated. Both the simulations and experiments of a commercial elevator have been conducted to verify the effectiveness of the proposed system.

Using data from a field experiment, we find that mobile coupons lift revenue primarily by increasing visits to the website rather than through redemption.

The need for energy to run the wheels of technology is increasing day by day. Apart from non-renewable energy which cannot fulfil the today’s requirements. Henceforth the need for oil to run today’s technology is tremendous. The oil fields in Gulf countries face so many problems related to the structural life of various components of the field. This report discuss one major thing of these kind which is the fatigue analysis to evaluate the fatigue life of the weld connections pertaining to Jacket tubular joints under the cumulative actions of cyclic loads induced by waves. The jacket structure is a four-legged type, lift installed steel jacket with two vertical faces and two battered faces. Following are the key details jacket. The dimension at Work Point is 21.40 m × 10.70 m. The work point EL (+) 8.230 m. The depth of the water is at 41.30 m from LAT (Lowest Astronomical Tide). The Top of Jacket is at EL (+) 7.010 m. The bottom of Jacket level is EL (+) 41.000m. The foundation is 42” piles with leg pile annulus. The codes used are as per the International standards API RP 2A – WSD 22ND Edition & AISC – WSD – 9th Edition (Manual of Steel Construction – Allowable Stress Design). Analysis is carried out using SACS 5.7 V8i SELECT Series 4.

Background Postoperative blood coagulation assessment of children with congenital heart disease (CHD) has been developed using a conventional statistical approach. In this study, the machine learning (ML) was used to predict postoperative blood coagulation function of children with CHD, and assess an array of ML models. Methods This was a retrospective and data mining study. Based on the samples of 1,690 children with CHD, and screening data based on demographic characteristics, conventional coagulation tests (CCTs) and complete blood count (CBC), with a precise data selection process, and the support of data mining and ML algorithms including Decision tree, Naive Bayes, Support Vector Machine (SVM), Adaptive Boost (AdaBoost) and Random Forest model, and explored the best prediction models of postoperative blood coagulation function for children with CHD by models performance measured in the area under the receiver operating characteristic (ROC) curve (AUC), calibration or Lift curves, and further verified the reliability of the models with statistical tests. Results In primary objective prediction, as decision tree, Naive Bayes, SVM, the AUC of our prediction algorithm was 0.81, 0.82, 0.82, respectively. The accuracy rate of the overall forecast has reached more than 75%. Subsequently, we furtherly build improved models. Among them, the true positive rate of the AdaBoost, Random Forest and SVM prediction models reached more than 80% in the ROC curve. These overall accuracy rate indicated a good classification model. Combined calibration curves and Lift curves, the better fit is the SVM model, which predicted postoperative abnormal coagulation, Lift =2.2, postoperative normal coagulation, Lift =1.8. The statistical results furtherly proved the reliability of ML models. The age, sex, mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), white blood cell count (WBC) and platelet count (PLT) were the key features for predicting the postoperative blood coagulation state of children with CHD. Conclusions ML technology and data mining algorithms may be used for outcome prediction in children with CHD for postoperative blood coagulation state based on the bulk of clinical data, especially CBC indictors from the real world.

This field study was made to study the size of social groups among passengers travelling with lifts. The group size was observed in three types of buildings located in four countries, totally in nine multi-storey buildings. The observations were carried out manually for 12 hours on a normal weekday. Analysis results show that the daily mean group size was generally low: 1.2–1.3 persons in the offices, 1.3–2.0 persons in the hotels and 1.1–1.4 persons in the residential buildings. Hourly means differed significantly from the daily means for each building. This suggests that group size should be considered on hourly or shorter basis. In addition, goodness-of-fit tests were conducted to determine a statistical model for the group size. A geometric distribution was found to fit the data the best across all building types which simplifies modeling of passenger group arrivals in buildings. Practical application: This article contributes to the understanding of lift passenger tendency to travel in socially connected groups in multi-storey buildings. A unique data set of group size observations around the world is reported on an hourly basis for office, hotel and residential buildings. A geometric distribution is proposed to model the group size statistically, which simplifies the use of socially connected groups when generating passengers in lift traffic simulations. The real-world data and the statistical model of the group size enable more realistic lift traffic simulations that are routinely conducted during the design phase of multi-storey buildings.