Search Results (5,852)

This study proposes a scalable, AI-driven, and Geographic Information System (GIS)-integrated framework for intelligent route-level classification in large-scale airport transportation networks to support airport operations, logistics planning, and network-level decision-making. The framework addresses the need for practical artificial intelligence applications that combine spatial network analysis with supervised machine learning to improve route assessment and resource allocation in complex air transport systems. A structured dataset was developed using operational and traffic-related attributes, including route distance, aircraft capacity, weekly frequency, annual passenger volume, demand variability, and route performance indicators, with additional normalized features to improve data representation. A Gradient Boosting ensemble classifier was trained to categorize routes into high-, medium-, and low-priority classes. The model achieved strong predictive performance, with a testing area under the ROC curve of 0.961, accuracy of 0.922, F1-score of 0.915, precision of 0.918, and a recall of 0.922. Feature importance analysis identified demand variability and route-density indicators as the main drivers of classification, enhancing interpretability and practical trust. The proposed framework demonstrates the real-world potential of AI for scalable, explainable, and efficient decision support in airport logistics and transportation network management. Full article

Background: The combination of pharmacological therapy and exercise is frequently recommended for osteoporosis management; however, whether antiresorptive agents may interfere with exercise-induced bone adaptation remains unclear. This study aimed to investigate the independent and combined effects of zoledronate and treadmill exercise on bone microarchitecture and mechanical strength in an ovariectomized rat model. Methods: Twenty-four female Sprague Dawley rats underwent ovariectomy and were assigned to four groups: Control, zoledronate (ZA), treadmill exercise (T), and combined zoledronate and exercise (ZA + T). An additional sham-operated group was included. Zoledronate was administered as a single subcutaneous injection, and a 6-week treadmill exercise routine was implemented. Bone microarchitecture was assessed using micro-computed tomography, and a three-point bending test was employed for evaluation of mechanical properties. Results: The combined ZA + T group demonstrated significant improvements in trabecular bone parameters, including bone volume/tissue volume and trabecular number, compared with the Control group. Mechanical strength parameters, including maximum load and stiffness, were also significantly enhanced in the ZA + T group. Cortical bone parameters exhibited no significant changes. Conclusions: Treadmill exercise did not attenuate the effects of zoledronate, and may offer additive benefits in enhancing trabecular bone microarchitecture and mechanical strength. These findings suggest that exercise therapy can complement bisphosphonate treatment and contribute to optimizing therapeutic strategies for osteoporosis, supporting the potential utility of combined pharmacological and exercise-based interventions for improving bone health. Full article

The sixth-generation (6G) mobile communication systems are anticipated to be operational by 2030, prompting extensive research efforts by governments and private entities. Designed to meet societal, economic, and technological demands unaddressed by fifth-generation (5G) networks, 6G integrates scalability, security, and reliability with ubiquity and resource-intensive artificial intelligence. Envisaged as multi-band, decentralized, autonomous, flexible, and user-centric, 6G networks incorporate innovative technologies, including cell-free (CF), three-dimensional heterogeneous networks (3D HetNet), reconfigurable intelligent surfaces (RIS), integrated sensing and communication (ISAC), as well as artificial intelligence/machine learning (ML). In 6G 3D HetNets, the densification of access points (APs) continues, accommodating increased connections and traffic volumes, alongside the use of higher frequency bands. Although 6G networks are not fully standardized, they target demanding Quality of Service (QoS) standards, such as a peak data rate of 1.0 Tbps and latency of 0.1 ms. This paper conducts a comprehensive literature review on radio resource management (RRM) in 6G cell-free and 3D HetNet systems, emphasizing challenges such as interference mitigation. It presents a taxonomy of RRM approaches, systematically studying, categorizing, and qualitatively analyzing recent techniques, outlining the current state, and indicating future trends, technologies, and challenges shaping 6G systems. Full article

The aim of the current study was to examine whether weekly dynamic stress load (DSL) volume could be associated with competition internal and external load outcomes in professional soccer players. Weekly DSL volume was recorded across standardized one-match microcycles. Match outcomes included total distance covered (TDC), high-speed running distance (HSRD), sprint distance (SPRD), high-intensity accelerations (HIACC), high-intensity decelerations (HIDEC), high-metabolic-load distance (HMLD), time spent > 85% of maximum heart rate (HRmax), and Edwards training impulse (Edwards’ TRIMP). Analyses of our results revealed that higher weekly DSL volume was associated with greater time > 85%HRmax in the first half (β = 0.00647; p = 0.002) and second half (β = 0.00764; p = 0.026). In the second half, weekly DSL was negatively associated with HSRD (β = −0.3068; p < 0.001) and SPRD (β = −0.0619; p < 0.001), and positively with HMLD (β = 0.3532; p = 0.002). Across the full match, weekly DSL was negatively associated with TDC (β = −0.5080; p = 0.002), HSRD (β = −0.4159; p < 0.001), SPRD (β = −0.0988; p < 0.001), HIACC (β = −0.0265; p = 0.003), and Edwards’ TRIMP (β = −0.2251; p = 0.001). Weekly DSL volume may represent an important monitoring tool providing useful information for practitioners aiming to manage fatigue and support competition performance maintenance; however, these findings should be interpreted cautiously until confirmed in larger samples. Full article

Non-invasive temperature estimation during online operation is a critical challenge in enclosed micro-reaction systems, particularly when the thermal mass of the working fluid varies dynamically or is uncertain. Conventional model-based approaches typically rely on fixed thermal parameters, leading to significant estimation errors when the actual reagent volume deviates from nominal conditions. To address this limitation, this study proposes a volume-adaptive temperature estimation framework applied to an ultrafast quantitative polymerase chain reaction (qPCR) system. By modeling the heat-transfer pathways via a simplified resistance–capacitance (RC) network, a nonlinear least squares (NLS) algorithm within an output-error (OE) framework is employed to identify key thermal parameters online. The framework separates the estimation into an offline calibration stage—where a thermocouple-equipped chip provides ground-truth data—and an online deployment stage that relies solely on non-invasive external measurements. This approach allows the system to explicitly compensate for volume-induced variations in thermal inertia. Validation experiments on an ultrafast qPCR platform with reagent volumes ranging from 100 to 250 $\mathsf{\mu }\mathrm{L}$ and heating rates exceeding 20 °C/s demonstrate that the method achieves robust performance, maintaining a mean absolute error (MAE) of reagent temperature at 0.24 ℃ and restricting the average volume estimation error to within 1.37 $\mathsf{\mu }\mathrm{L}$. DNA gel electrophoresis results further confirm the biological reliability of the temperature prediction strategy by verifying amplification specificity. This work provides a generalised solution for precise thermal management in micro-systems subject to variable thermal loads. Full article

Social media platforms have become critical infrastructures for customer relationship management (CRM), requiring scalable and intelligent solutions to handle high-volume interactions. In the luxury fragrance sector, digital promotion poses a unique challenge because olfactory attributes cannot be experienced online. As a result, physical fragrance samples remain essential, generating large volumes of sample requests or inquiries across social media. However, many requests remain unmanaged due to limitations in manual CRM (i.e., human-driven processes), revealing a design gap that may negatively affect perceived responsiveness and service quality. This study uses qualitative content analysis with NVivo 12 to examine large-scale sample request interactions on the Facebook pages of four luxury fragrance brands. Data was collected via NCapture and analyzed to identify recurring patterns, linguistic structures, and customer expressions related to sample requests. Findings confirm frequent repetitive requests, highlighting inefficiencies in traditional CRM systems under high demand. This research proposes an AI-driven CRM Sample Request Management Architecture (CRM–SRMA) that systematically captures and processes customer sample requests, collects the necessary mailing information, and seamlessly transfers validated data to the final dispatching stage. The proposed system also models individual fragrance preferences by analyzing customers’ interactions with samples, particularly in terms of top, middle, and base notes. By leveraging this information, the architecture enables the targeted promotion of new fragrance releases that closely align with customers’ demonstrated olfactory preferences. The insights of this research provide a scalable, intelligent mechanism that enables luxury social media managers and CRM systems to manage high-volume interactions while maintaining service quality. By automating sample request processing, the mechanism improves responsiveness and reduces operational burden. It also supports long-term relationship building through preference tracking and updating customers with any new relevant-fragrance releases. Although focused on fragrances, the mechanism is adaptable to other luxury cosmetic categories, thereby ideally enhancing overall social media-based customer service. Full article

Modular integrated construction (MiC) is an innovative construction method that shifts on-site activities to a controlled factory environment, thereby offering sustainability benefits. However, current carbon management relies on labor-intensive manual data collection, causing delayed and inaccurate carbon accounting that increases greenwashing risks. Existing approaches lack real-time, automated, and trustworthy carbon tracking capabilities across fragmented supply chains. This study develops and validates the Blockchain-enabled IoT-BIM Platform (BIBP), which combines Internet of Things (IoT), Building Information Modeling (BIM), and blockchain for real-time carbon monitoring. IoT sensors automate data capture from construction equipment and BIM provides spatial visualization of carbon at the module and building levels. A Hyperledger Fabric blockchain ensures the authenticity, immutability, and traceability of carbon records. Validated on a 15-story MiC project in Hong Kong, BIBP established a cradle-to-end-of-construction baseline of 949.84 kgCO_2e/m², identifying steel and concrete as the primary hotspots (80% of material emissions). Real-time analytics demonstrated that combining high-volume ground granulated blast furnace slag (GGBS) concrete substitution, new energy sea–land multimodal transport, and 10% steel waste reduction achieves over 20% carbon savings. Furthermore, the BIBP automated data acquisition and calculation, improving assessment efficiency by 92.4%. The platform demonstrates the potential to transform carbon management from a static, retrospective evaluation into a proactive, data-driven monitoring process, equipping stakeholders with a tool to dynamically track emissions and make timely interventions toward carbon reduction targets. Full article

Introduction: Non-muscle-invasive bladder cancer (NMIBC) represents approximately 78% of newly diagnosed bladder cancers and is characterized by high recurrence rates and variable progression risk. While transurethral resection of bladder tumor (TURBT) followed by intravesical therapy remains standard management, optimal treatment of high-risk and Bacillus Calmette-Guerin (BCG)-unresponsive disease remains controversial. Radiotherapy (RT), particularly in combination with chemotherapy, has been explored as a bladder-preserving alternative. Material and Methods: We conducted a narrative review of published literature evaluating the role of definitive RT in high-risk NMIBC, with emphasis on T1 disease. Retrospective series, prospective trials, meta-analyses, and contemporary guideline recommendations were examined. For each included study, we extracted data on the extent of TURBT (maximal vs. incomplete/non-specified), use and type of concurrent chemotherapy, radiotherapy technique (3D-conformal, IMRT, or proton), treatment volume (bladder only vs. whole pelvis), and dose/fractionation schedule. Results: Early studies evaluating RT alone demonstrated modest complete response rates. More recent approaches incorporating maximal TURBT followed by concurrent chemoradiotherapy report improved outcomes, with complete response rates of approximately 80–88% and 5-year overall survival comparable to surgical series. The phase II NRG/RTOG 0926 trial in recurrent high-risk T1 disease after intravesical therapy failure demonstrated an 81% complete response rate and favorable bladder preservation outcomes. Meta-analytic data suggest 5-year recurrence-free survival around 54% and overall survival near 70%, although evidence remains limited and largely non-randomized. Advances in image-guided and hypofractionated RT may further improve therapeutic outcomes while limiting toxicity. Conclusions: while definitive chemoradiotherapy is a promising option for selected patients, it remains investigational and should be considered only in those who are unfit for or decline radical cystectomy. Prospective randomized studies are needed to better define its role in contemporary management. Full article

Background: Dengue fever is one of the most common mosquito-borne viral infections, with severe cases characterized by plasma leakage, hemorrhage, and multi-organ involvement. Identification of dengue serotypes and reliable biomarkers is essential for predicting disease progression and guiding timely interventions. Methods: This prospective cohort study was conducted at a super-speciality tertiary care hospital in southern India from July 2024 to July 2025. A total of 69 patients presenting with dengue warning signs were included in the study. Patients were categorized into the severe dengue group (n = 25) and non severe dengue group (n = 44). Clinical data, laboratory findings, dengue serotype, and serial serum samples collected on Days 1, 4, and 8 were analyzed to evaluate the predictive and monitoring efficacy of Interleukin-6 (IL-6) and Interleukin-8 (IL-8), and followed up till discharge. Results: Out of 69 dengue patients with warning signs, 32 dengue-positive patients were serotyped, which included DEN V-1 (31.3%), DEN V-2 (31.3%), DEN V-3 (15.6%), DEN V-4 (18.8%), and mixed DEN V-(2 + 3) (3.1%). Severe dengue patients exhibited a higher frequency of secondary dengue infection (IgG) than primary dengue infection (88% vs. 12%), with statistically significantly higher packed cell volume, hemoglobin levels, high AST levels, and prolonged activated partial thromboplastin time, as well as lower platelet counts and albumin levels. Platelet transfusion was given to 35 dengue patients, which had also resulted in significant length of stay in hospital in comparison to non-transfused patients. IL-6 and IL-8 levels were significantly elevated in severe dengue patients when compared to non-severe dengue patients on Day 1 and Day 4, followed by a decline on Day 8, corresponding with clinical recovery. However, the elevated IL-8 levels were observed to be significantly associated with longer hospital stays, indicating its potential role as an early predictor of disease progression. Conclusions: The observed co-circulation of multiple serotypes reflects the hyper-endemic pattern reported across India. Early measurement of these cytokines IL-6 and IL-8 helps distinguish severe from non-severe dengue among patients presenting with warning signs. IL-6 and IL-8 may have potential as biomarkers for disease severity. However their role in guiding platelet transfusion requires further investigation in non-severe cases and prioritizing timely management for those at higher risk of severe disease. Full article

Patients with preload-dependent conditions are at high risk of hemodynamic instability from both hypovolemia and hypervolemia. In hypovolemic states, the presence of third spacing may be misleading and obscure true intravascular volume status. Therefore, management of critically ill patients should be guided by a thorough understanding of physiology and pathophysiology to appropriately address hemodynamic derangements. Overreliance on rigid protocols and protocol-driven care without adequate clinical judgment may, in some cases, adversely affect patient outcomes. Herein, we present a case of hypovolemia-induced hypotension in the setting of third spacing and concentric left ventricular hypertrophy. Full article

Liver transplantation (LT) is the definitive treatment for patients with end-stage liver disease. Since its inception in the 1960s, transplant medicine has undergone substantial advances in surgical technique, immunosuppression, organ preservation, and organ allocation policies. According to the 2023 WHO census, approximately 47,180 LT procedures occur worldwide each year, with living donors contributing to up to 23% of cases. Additional milestones include the expansion of transplant eligibility to patients with hilar cholangiocarcinoma and advanced colorectal liver metastasis, the incorporation of viscoelastic testing into perioperative blood management algorithms, and the increasing use of mechanical circulatory support for pre-transplant optimization. In parallel, medical training has evolved to meet the complexities associated with these high-risk procedures. Structured fellowship programs now provide focused expertise, and guide investigations to resolve complex clinical dilemmas. Experience accumulated over decades has improved clinicians’ ability to manage the expanding spectrum of comorbidities seen in contemporary transplant candidates. Key perioperative challenges include accurate assessment of fluid status, optimization of intravascular volume, management of vasoplegia, intraoperative renal replacement therapy, treatment of right-ventricular failure, and the mitigation of severe lactic acidosis. As transplant recipients increasingly present at older ages and with multiple comorbidities, perioperative management has become more demanding. One emerging strategy for select high-risk patients involves performing concurrent surgical procedures within a single operative session. This narrative review focuses on the intraoperative management of five variables that proved challenging during the first case of concurrent liver transplantation and off-pump coronary artery bypass surgery in our institution. Full article

Type 2 diabetes mellitus (T2DM) is frequently complicated by dyslipidemia, which accelerates insulin resistance and the progression of cardiovascular and hepatic diseases. While exercise intervention is a cornerstone of T2DM management, a systems-level understanding of its underlying molecular mechanisms remains incomplete. This article summarizes current evidence to propose that exercise functions as a signaling network regulator, concurrently modulating critical lipid metabolism-related signaling pathways: cyclic adenosine monophosphate (cAMP), phosphatidylinositol 3-kinase–protein kinase B (PI3K–AKT), forkhead box O (FOXO), and mitogen-activated protein kinase (MAPK) signaling pathways. We delineate how dysregulation of these signaling pathways contributes to lipid disorders in T2DM, highlighting their tissue-specific and often bidirectional roles. Subsequently, we detail the molecular adaptations induced by various exercise modalities—from aerobic training to high-intensity intervals—that restore homeostasis of this signaling network. By integrating these findings, we present a novel framework for precision exercise—defined as the tailoring of exercise modality, intensity, and volume based on an individual’s predominant signaling pathway disturbance, assessed via circulating or tissue-specific biomarkers. This framework advocates for future exercise prescriptions to be guided by molecular profiling alongside traditional physiological indicators. This mechanistic insight not only deepens our comprehension of exercise physiology but also paves the way for more effective, personalized strategies to combat T2DM and its metabolic complications. Full article

The urban trade in non-timber forest products (NTFPs) plays a key role in sustaining livelihoods in the Global South, while also suggesting potential pressure on resource supply systems. This study provides an integrated analysis of NTFP diversity, market structure, economic importance, and perceived drivers of resource decline in Kolwezi, a rapidly expanding mining city where such dynamics remain poorly documented. Data were collected through surveys conducted with 35 sellers across two major urban markets and 384 consumers from different neighbourhoods and analysed using descriptive and inferential statistics to examine patterns, associations, and socio-demographic influences. A total of 65 NTFP species were recorded, including 49 plant, 14 animal, and 2 fungal species, reflecting strong dependence on Miombo ecosystems. Medicinal (59.3%) and food uses dominate, with multifunctional species such as Bobgunnia madagascariensis (Desv.) J.H.Kirkbr. & Wiersama, Canarium schweinfurthii Engl., Terminalia mollis M.A.Lawson, Gardenia ternifolia subsp. jovis-tonantis (Welw.) Verdc., and Albizia antunesiana Harms, playing a central role in both household use and market supply. The trade is largely female-dominated (79.1%) and constitutes a major component of the informal urban economy, with monthly incomes ranging from USD 9 to 429.3, primarily driven by sales volume rather than unit price. However, the sector is constrained by structural and logistical limitations, including remoteness of supply areas, seasonality, and limited value addition. The perceived declining availability of high-use-value species, attributed by respondents to deforestation, mining expansion, and overexploitation, highlights perceived sustainability concerns. These pressures are perceived differently across socio-demographic groups, indicating heterogeneous understandings of environmental change. Overall, the results indicate a perceived mismatch between rising urban demand and declining resource availability, which may reflect an emerging socio-ecological imbalance between urban demand and perceived resource availability. Addressing these challenges requires integrated strategies that combine the domestication of priority species, the development of processing chains, improved infrastructure, and strengthened governance mechanisms. Such approaches are essential to reconcile livelihood support with the sustainable management of NTFPs in rapidly transforming urban landscapes. Full article

Background/Objective: Continuous blood pressure (BP) monitoring is essential in clinical settings, where rapid hemodynamic changes influence patient management. While intra-arterial measurement remains the reference standard, non-invasive volume-clamp systems offer a potential alternative. We assessed the accuracy of finger-cuff-based continuous BP monitoring compared to invasive measurement in patients with pulmonary hypertension (PH). Methods: This post hoc analysis from a crossover RCT included PH patients who underwent repetitive hemodynamic assessments at rest and during exercise. The participants had simultaneous invasive BP monitoring via the radial artery and a non-invasive finger-cuff device (Finapres^® NOVA Basic). The mean blood pressure (mBP) was compared at rest, 50% of the maximal workload, and at the end of exercise using Bland–Altman and Taffé analysis. Results: In the study, 24 patients (seven female; 59 ± 14 years) contributed 385 paired mBP measurements. The invasive and non-invasive methods showed similar values at rest (96.1 ± 16.7 vs. 96.4 ± 17.2 mmHg) and during maximal exercise (106.8 ± 18.6 vs. 111.8 ± 21.6 mmHg). The overall Bland–Altman bias was 2.8 mmHg with wide limits of agreement (−39.6 to 45.3 mmHg), which remained broad across all exercise intensities. The Taffé analysis revealed a non-uniform, directionally dependent bias: the non-invasive system overestimated the mBP at low pressures and underestimated it at higher pressures. The measurement variability was substantially greater for the non-invasive method than for the invasive reference. Conclusions: In PH patients, finger-cuff-based continuous BP monitoring demonstrated acceptable group-level agreement but insufficient individual-level accuracy for clinical decision-making. Full article

Background/Objectives: Wearable activity monitors and sensor-based devices are increasingly used to quantify mobility, load, and recovery in orthopaedic patients, yet clinicians lack practical guidance on selection, implementation, and interpretation. This qualitative expert consensus study synthesized real-world experiences from leaders in orthopaedics, rehabilitation, biomechanics, and digital health who implemented wearables at scale. Methods: Semi-structured interviews were conducted with 16 experts (64% response rate) recruited via hybrid purposive and snowball sampling. Participants included orthopaedic surgeons and research scientists with 124 cumulative years of wearable experience across over 9000 monitored patients. Interviews addressed device selection, clinical workflow, data management, and adoption barriers. Data were charted into a structured extraction matrix and analyzed using Inductive Thematic Analysis and a Framework Approach, reported per COREQ guidelines. Results: Experts utilized diverse sensor platforms across arthroplasty, trauma, spine, and sports medicine. Four key themes emerged: (1) device selection prioritized usability and patient compliance over technical sophistication; (2) workflow required defined team roles to manage data volume and avoid clinical burden; (3) patient engagement favored simplified, actionable feedback amid divergent views on data transparency; (4) future outlook anticipated AI-driven proactive risk prediction. Conclusions: No single wearable suits all orthopaedic practices; success hinges on aligning sensor placement with clinical questions, rigorous data quality checks, and integration into care plans. This study offers a practical checklist and roadmap for point-of-care adoption. Full article