Search Results (522)

Background: Severe knee trauma and chronic cruciate ligament insufficiency are commonly accompanied by marked quadriceps femoris (QF) atrophy and weakness. High-load strengthening is often poorly tolerated by patients with compromised joint stability; therefore, low-load blood flow restriction resistance training (LL-BFRT) may serve as an effective alternative. Case presentation: A 38-year-old male presented 27 months after motorcycle-related polytrauma with right knee pain, instability, complete anterior and posterior cruciate ligament ruptures, and partial QF denervation after femoral nerve injury. Before surgery, he completed a supervised 5-week LL-BFRT prehabilitation program (13 sessions). Results: Lean thigh circumference increased by 5.9% proximally and 17.7% distally. Voluntary activation increased from 87.2% to 92.5%, and maximal QF EMG median frequency decreased by 7.4%. Knee extensor isometric and concentric (60°/s) peak torque increased by 52.4% and 36.9%, respectively. QF isometric endurance time increased from 48.5 to 61.8 s. Stair-climbing time decreased from 18.9 to 10.6 s, repetitions in the step-down test increased from 10 to 17, and the Y-balance test composite score increased from 77.7% to 99.4%. Conclusions: Substantial physiological and clinical improvements in QF voluntary activation, maximal strength, endurance, and lower limb function were observed following a short-term LL-BFRT program in a patient with multiple ligament injuries. Changes in lean thigh circumference were consistent with possible improvements in muscle size; however, muscle hypertrophy was not directly assessed. Full article

Real-time telemetry is essential for performance optimization and safety in motorcycle racing, yet commercial solutions remain proprietary, expensive, and poorly extensible. This paper presents the design, implementation, and experimental evaluation of an open-architecture embedded telemetry unit built around the STM32H745 dual-core microcontroller. The system integrates a u-blox ZED-F9P RTK-GNSS receiver, a Bosch BNO085 9-DoF IMU with on-chip sensor fusion, a CAN-FD interface for powertrain data acquisition, and a SIM7600E-H 4G/LTE module for real-time remote streaming, all housed in a 3D-printed vibration-resistant enclosure. The firmware employs deterministic dual-core task partitioning: the Cortex-M7 core handles sensor fusion and CAN-FD at high frequency, while the Cortex-M4 core manages 4G communication and microSD logging. We explicitly delimit the scope of the evidence presented: CAN-FD powertrain acquisition and end-to-end operational reliability are experimentally validated on real circuit data spanning four campaigns, over 100 laps, and 5.8 h of logging—with sustained acquisition of 13 powertrain channels at speeds up to 185 km/h and zero system resets or data-integrity errors. In contrast, RTK positioning accuracy (2.5 cm CEP), sensor-fusion latency (sub-2 ms at the 99th percentile), 4G-uplink reliability, and thermal margins are characterized through manufacturer specifications, Monte Carlo simulation, and analytical models, with a fully instrumented end-to-end measurement campaign identified as the immediate next step. The 50 Hz effective positioning rate combines 25 Hz GNSS with IMU interpolation. With a bill of materials of approximately EUR 265, the platform offers an order-of-magnitude cost reduction over commercial alternatives while providing full openness and extensibility for distributed intelligence applications. Full article

Urban traffic congestion remains a persistent global challenge, contributing to significant economic inefficiencies, elevated greenhouse gas emissions, and diminished quality of life. This paper presents a real-world video-based traffic monitoring study combined with a proposed adaptive signal control framework. In the monitoring component, YOLOv11 object detection was applied directly to footage recorded from an overhead bridge position on a 40 km/h road. The model successfully detected and tracked multiple road-user categories, including cars, trucks, buses, motorcycles, cyclists, and pedestrians, yielding 1041 vehicle detections across 25 unique tracked objects. Vehicle speeds were estimated from inter-frame centroid displacement, and a Region of Interest (ROI) occupancy model was used to classify congestion states as High, Medium, or Free Flow using thresholds grounded in Highway Capacity Manual (HCM) level-of-service criteria. The system detected 11 high-congestion frames (3.8%), 184 medium-congestion frames (63.9%), and 93 free-flow frames (32.3%), consistent with moderate congestion observed during the recording period. In the proposed control component, a Proximal Policy Optimisation (PPO)-based reinforcement learning signal controller is designed around the YOLOv11 detection outputs as its state representation. Based on comparable adaptive traffic signal control studies in the literature, the proposed framework is projected to achieve approximately 25% higher peak-hour throughput, 35% shorter queue lengths, and 32% lower average waiting times relative to a fixed-time signal baseline. The detection accuracy (mAP@0.5 = 93.2%) and inference speed (32 FPS) cited are published YOLOv11 benchmarks used as indicative performance references. This work bridges real-world perception and proposed intelligent control, providing a transparent and reproducible methodology for next-generation smart city traffic management. Full article

Smartphone-holder use during motorcycling is increasingly common, but its task-dependent ergonomic effects remain insufficiently understood. This study examined visual, postural, and muscular responses during smartphone-holder use under a simulated riding-posture condition. Forty healthy adults completed five smartphone-use tasks: dynamic viewing, static viewing, texting, seated use, and standing use. Each riding-related task condition lasted one minute, with the final 30 s designated as the stable data collection window. For postural variables, instantaneous values were recorded at four time points (0, 10, 20, and 30 s from the onset of the stable window) and averaged. For electromyography (EMG), integrated EMG (IEMG) was computed over the same 30 s window using ten consecutive non-overlapping 3 s epochs, and averaged for normalization. The neck flexion (NF), upper thoracic angle (UTA), gaze angle (GA), viewing distance (VD), and electromyographic activities of the cervical erector spinae (CES) and upper trapezius (UTZ) were measured using integrated motion-analysis and EMG approaches. Two-way mixed ANOVA and repeated-measures correlation analyses were performed. The task condition significantly affected all measured variables, with effect sizes ranging from moderate to large (all ηp² ≥ 0.155), with texting producing the greatest NF, shortest VD, and highest muscle activation. Strong within-subject associations were identified among visual, postural, and muscular variables across riding-related tasks (VD–NF: r = −0.815, p < 0.001). Females exhibited higher CES and UTZ activation than males. These findings reveal a task-dependent visual–postural–muscular co-variation pattern during scooter-mounted smartphone-holder use and support the application of a sensor-based ergonomic assessment for characterizing task-dependent visual–postural–muscular responses during scooter-mounted smartphone-holder use. Full article

Aggressive riding behavior is a key contributing factor to road accidents, particularly in motorcycling, where rider dynamics directly influence vehicle stability and control. Despite growing interest in objective behavioral assessment, validated classification frameworks specific to motorcycles remain scarce in the literature. This pilot study investigated the feasibility of a standard deviation-based method for classifying aggressive riding behavior in a single experienced motorcyclist navigating two distinct environments: an urban route (UR) and a suburban national route (SNR). The participant completed two 20 min rides under real-world conditions. The UR was characterized by frequent accelerations, braking, speed bumps, and traffic lights, whereas the SNR features low traffic density and minimal interruptions. Longitudinal acceleration data were continuously recorded using a Vicon Blue Trident measurement unit mounted on the motorcycle seat. Drawing on the threshold principles established in automotive research, an environment-specific classification framework was developed to categorize riding events into normal, aggressive, and dangerous levels for both acceleration and deceleration maneuvers. The derived thresholds revealed pronounced environmental differences: UR thresholds (acceleration: 2.122 m/s²; deceleration: −2.134 m/s²) were approximately three times lower than those observed in the SNR (acceleration: 6.16 m/s²; deceleration: −7.09 m/s²). From more than four million recorded data points, approximately 88% of the riding behavior was classified as normal in both routes. In the UR, 9.27% of events were identified as aggressive and 4.37% as dangerous, compared with 7.27% aggressive and 5.35% dangerous events in the SNR. These preliminary findings suggest that environment-specific thresholds may be essential for accurately characterizing motorcycle riding behavior, and caution against the direct application of fixed automotive criteria to motorcycle safety analyses. All findings are specific to one rider on two routes and must not be extrapolated to other motorcyclists, vehicle types, or road contexts without replication. Full article

This study examines the influence of roundabout geometric design on motorcyclists’ risky behaviours in mixed-traffic environments, where motorcycles form a dominant traffic component. While conventional safety analyses often emphasise the performance of four-wheeled vehicles, limited attention has been given to how geometric design shapes riders’ behavioural responses and risk perception. To address this gap, this study integrates multiple linear regression and Chi-squared automatic interaction detection (CHAID) to capture both linear effects and nonlinear threshold behaviours. Data were collected from multi-lane roundabouts using a drone and ground-level video observations. Regression results indicate that larger radii and wider geometries are associated with increased risky behaviours, including unsafe stopping and signalling non-compliance. In contrast, CHAID identifies exit radius as the most influential factor, with specific ranges (≤12.43 m and 30.2–32.57 m) associated with more consistent behavioural patterns, while larger radii (>32.57 m) are linked to increased risk. These findings highlight the importance of context-sensitive, motorcycle-oriented geometric design in improving safety outcomes in mixed-traffic environments. Full article

Artificial intelligence-based management systems are becoming increasingly embedded in labor processes, particularly in platform-mediated work. While existing research has shown that algorithmic management intensifies data-driven control, opacity, and performance monitoring, less attention has been paid to how algorithmic decision-making reshapes the institutional conditions of representation, negotiation, and accountability in employment relations. This article examines how AI-based management may reconfigure workplace conflict by translating managerial decisions into “system outputs” and narrowing the extent to which disputes remain institutionally addressable and negotiable. Drawing on a qualitative case study of platform-based motorcycle couriers in Türkiye, the analysis is based on semi-structured, decision-moment-focused interviews with 19 couriers and 5 representation actors. Rather than testing a full causal model or advancing a universal claim about algorithmic management, the article traces recurring processual linkages among the technicalization of decision-making, epistemic opacity, weakened addressability, and the thinning of representational intervention. The findings suggest that, in the Turkish platform courier context examined here, representationless governance appears as an empirically observable pattern where consequential algorithmic decisions intersect with limited transparency, fragmented appeal channels, income-sensitive sanctions, and constrained collective representation. In this configuration, decision-making remains procedurally dense yet substantively difficult to contest through identifiable, accountable, and negotiable channels. The article argues that the social sustainability of labor governance depends not only on efficiency, flexibility, or access to work, but also on whether decisions affecting workers’ livelihoods remain intelligible, contestable, attributable, and open to institutional negotiation. Full article

While multilane roundabouts follow geometric design standards, they often overlook motorcycle-dominated traffic behavior. This study evaluates lane-reduction strategies to create safer and more inclusive urban corridors in mixed-traffic conditions, focusing on a case study in Southern Thailand. High-resolution unmanned aerial vehicle (UAV) trajectory data were analyzed using the Macroscopic Fundamental Diagram (MFD), Cell Transmission Model (CTM), and Time-To-Collision (TTC) frameworks under three configurations: full lane availability, partial inner-lane closure, and full inner-lane closure. Results indicate progressive deterioration in performance under restricted-lane conditions. Under full closure, total flow decreased by 31%, and average travel time increased by 43%. The MFD curve shifted toward higher critical densities, indicating earlier congestion onset, while CTM results revealed longer discharge times, queue spillback, and increased merging friction. Conversely, safety outcomes (TTC) improved significantly: extreme rear-end conflicts were reduced by 48%, and severe lane-change conflicts were nearly eliminated (99%). Behavioral evidence suggests that full closure constrains motorcycles to a single circulating path, reducing erratic filtering and promoting more stable interactions. Overall, this study identifies a systemic trade-off between safety and efficiency, highlighting how geometric interventions catalyze behavioral adaptation. The findings highlight how geometric constraints shape collective behavior in motorcycle-dominated roundabouts and demonstrate the value of an integrated UAV-based framework as a vital tool for inclusive urban management, providing the granular data needed to balance safety and mobility in complex traffic landscapes. Full article

Motorcycle-related injuries remain a major public health concern in Thailand, particularly among adolescents and young adults, yet evidence on actual helmet-related behavior in university settings remains limited. This study assessed visible helmet presence among motorcycle riders and passengers at a Thai university using real-world CCTV observations. A cross-sectional observational study was conducted at a large private university in Thailand using CCTV footage from two campus gates over seven consecutive days during peak commuting periods (07:00–09:00 and 16:00–18:00). Motorcycle-user observation events were coded for visible helmet presence, rider/passenger role, university affiliation, and time of observation. Descriptive statistics, chi-square tests, and 95% confidence intervals were used. A total of 19,363 motorcycle-user observation events were recorded. Overall visible helmet presence was 18.8% (3646/19,363). Visible helmet presence was 21.8% (1956/8985) among student riders, 3.1% (230/7505) among student passengers, 58.6% (1299/2217) among staff riders, and 24.5% (161/656) among staff passengers. Morning observation periods showed higher values than evening periods across most groups. Visible helmet presence was low overall and especially low among student passengers. These findings should be interpreted as event-based estimates rather than person-based prevalence or verified protective helmet use, and they support universities as priority settings for targeted road-safety interventions. Full article

This paper concerns the estimation of front telescopic fork suspension elongation speed through the use of Kalman-filtering techniques. A full-motorcycle model in the state-space domain is developed and subsequently used in the filter along with synthetic input data simulating two accelerometer measurements. In addition, the force of semi-active suspension is considered as an input, from which the value is estimated on the basis of a look-up table and the estimated elongation speed. The performance of the full-motorcycle filter is compared to that of a filter built considering the monocorner model, indicating superiority in performance. The ratio of the mean squared error of the suspension elongation speed to the mean square of the elongation speed originating from the non-linear model is used as a performance metric. For the proposed estimator, it is 6.54% with respect to the best class of road profile (A) and 7.07% for the worst (H). This is in contrast to the monocorner filter, displaying values of 57.46% and 94.47% for the best and worst road classes, respectively. The influence of system pitch dynamics is evidenced to have a marginal influence on the accuracy of speed estimation. However, it is the use of a larger set of states that adds the notable advantage of employing such a solution. Full article

Traumatic thumb loss causes severe functional impairment, as the thumb provides approximately 40% of total hand function. Toe-to-thumb transfer remains the gold standard for thumb reconstruction, yet donor site morbidity represents a significant functional and aesthetic limitation. A total thumb reconstruction using a “trimmed” right great toe transfer, combined with immediate donor site reconstruction using a free SCIP (superficial circumflex iliac perforator) flap and iliac crest bone graft. The flap was designed as a tubular skin island to create a neo-hallux with optimal contour and volume, minimizing visible scarring and avoiding microcirculatory compression. The patient, a 33-year-old man with post-traumatic thumb avulsion, underwent delayed reconstruction three months after injury. The postoperative course was uneventful, with no vascular or wound complications. At 12 months, he resumed full ambulation and manual activities, including motorcycle driving and work tasks. Baropodometric analysis demonstrated symmetric load distribution and gait dynamics. Thumb opposition was satisfactory (Kapandji score: seven); the patient rated the aesthetic results as excellent. This case demonstrates that SCIP flap reconstruction with iliac crest bone graft enables complete functional and aesthetic restoration of the great toe donor site after total toe transfer. Compared to previous techniques using cross-flaps, skin grafts, or peroneal flaps, this approach minimizes morbidity, optimizes cosmetic outcomes, and preserves gait. Although representing a single case, this constitutes the first documented instance of total hallux reconstruction following toe-to-thumb transfer, emphasizing the importance of the foot as a functional and aesthetic unit and the need for donor-site preservation in microsurgical reconstructive planning. Full article

To address the complexities inherent in evaluating electric motorcycle ride comfort across diverse road profiles and operating speeds, this study establishes a systematic evaluation framework utilizing a multi-level fuzzy comprehensive assessment approach. Empirical investigations were conducted on asphalt, Belgian block, and speed-bump terrains at varying velocities. Triaxial acceleration data were acquired from the seat, footrest, and handlebar interfaces to compute weighted Root Mean Square (RMS) acceleration, Vibration Dose Value (VDV), and Power Spectral Density (PSD). By synthesizing subjective ratings, a correlation between tactile perception and objective metrics was derived to calibrate the two-level fuzzy model. Analysis reveals that vibration energy is predominantly concentrated in the vertical low-frequency domain (0–20 Hz) independent of test conditions. Notably, a 50% increase in velocity precipitated a 22.4% decrement in the comprehensive ride comfort index, degrading the classification from “Moderate” to “Fair.” The proposed framework provides a rigorous quantitative paradigm for vibration mitigation strategies and informed speed management in electric vehicle engineering. Full article

Electric two-wheelers (E2Ws) are promoted as lower-emission options in emerging economies. Their long-term cost competitiveness depends mainly on battery durability and how batteries are managed at the end of their life. This research examines Li-ion and nickel-cobalt-manganese (NCM)-type batteries versus the previously common lead-acid batteries in these markets. The study uses a 12-year total cost of ownership (TCO) framework that includes battery degradation, estimated first-life duration, and alternative lifecycle pathways. It covers three sensitivity analysis cases: conservative, base case, and optimistic. Three scenarios are evaluated: (1) no lifecycle management, (2) refurbishment for first-life extension, and (3) integrated lifecycle management with refurbishment, second-life utilisation, and recycling. Results show that managing the battery lifecycle can reduce TCO. The amount of reduction depends on first-life duration, ownership horizon, refurbishment cost, downstream residual value, and use intensity. The greatest TCO gains are found in battery categories with short first-life duration, allowing substantial residual value recovery during ownership. Batteries with first-life durations of 12 years or more provide smaller benefits. These findings support optimising lifecycle pathways for maximum residual value. Improved TCO performance, along with supportive infrastructure, policies, and market development, is critical for broader E2W adoption. Full article

This five-month epidemiological investigation evaluated pre-slaughter welfare, carcass-processing practices, and post-mortem lesion prevalence in 1012 cattle and 413 pigs slaughtered in Enugu State, Nigeria. Direct observations and post-mortem inspections were conducted following OIE standards. Animal welfare was markedly compromised. Cattle were dragged from the lairage to kill floor, restrained in lateral recumbency for over 30 min before bleeding, and slaughtered without stunning. Pigs were transported tied to motorcycles and processed on unsanitary floors. The lairages lacked roofing, clean water, and adequate drainage. Carcass handling was unhygienic, with meat processed near maggot-infested drains and transported in open vans or motorized tricycles used to commute passengers and cement. Of all cattle examined, 45.3% (458/1012) exhibited gross lesions attributable to contagious bovine pleuropneumonia (CBPP, 15.5%), fasciolosis (18%), liver abscessation (6.6%), ascariasis (4.6%), and bovine tuberculosis (0.5%). No lesions were detected in pigs. Lesion occurrence differed significantly (p < 0.05) by sex (males = 44.1%, females = 66.7%), age (<4 years = 54.1%, ≥4 years = 45.4%), breed (White Fulani = 45.5%, others = 36.7%), slaughterhouse location, and season (rainy = 45.2%, dry = 45.5%). Temporal analysis showed the highest lesion rate in April (68.3%), declining to 37.7% in May. Lesions of CBPP and fasciolosis were significantly more frequent in young cattle and during the rainy months (p < 0.05). These findings reveal systemic welfare violations and disease endemicity within the municipal abattoirs surveyed. The combination of poor pre-slaughter welfare, unhygienic meat handling, and high prevalence of zoonotic and economically important livestock disease lesions highlights urgent public health concerns. Strengthening abattoir infrastructure, enforcing pre-slaughter animal welfare and hygiene regulations, mechanizing slaughter processes, and instituting continuous surveillance within the One Health framework are essential for ensuring meat safety and public health security in Nigeria and beyond. Full article

Accurate vehicle counts from traffic videos are fundamental to traffic measurement and to estimating roadway demand for infrastructure planning and maintenance. However, many vision-based traffic datasets and pretrained models under-represent vehicle types that are prevalent in developing countries, such as the keke (globally known as auto-rickshaw/three-wheeler), which can bias traffic composition estimates and downstream workload indicators. This paper presents a keke-aware vehicle detection and counting pipeline that combines fine-tuned YOLO-based detectors with BoT-SORT/ByteTrack tracking and ROI-based counting, together with a newly curated and publicly released traffic-video dataset that includes a dedicated keke class. The detectors are fine-tuned from pretrained weights on a six-class dataset (bicycle, bus, car, motorcycle, truck, keke) and evaluated on held-out roadside test videos with a manual counting baseline. On the validation split (2088 images; 8400 instances), the fine-tuned YOLO11l model achieves $P=0.752$, $R=0.696$, $\mathrm{mAP}@0.5=0.766$, and $\mathrm{mAP}@0.5\text{:}0.95=0.578$, with the keke class attaining $\mathrm{mAP}@0.5=0.772$, while YOLO26l achieves slightly higher overall precision ($P=0.766$) and stronger keke recall and $\mathrm{mAP}@0.5\text{:}0.95$. In system-level counting, the selected tuned ROI-based variants produce the most reliable results on the Yola Road downward flow, where keke counts remain close to the manual baseline, but performance is strongly direction- and scene-dependent, with substantially larger errors in the Yola upward flow and the more challenging Mubi Road scene. Flow-rate and ESAL-rate analyses further show that class misclassification can severely distort pavement-loading estimates even when total traffic flow appears close to baseline, underscoring the need for localized class ontologies and robust heavy-vehicle discrimination in mixed-traffic ITS deployments. The released dataset and baseline pipeline provide a practical reference for keke-aware traffic monitoring and for infrastructure-relevant traffic measurement in developing-country contexts. Full article