Search Results (1,059)

Tooth structure anomalies, though not frequently described, can be observed in the external appearance not only of humans but also of dogs. The emergence of an oversized set of teeth is not solely an esthetic and health problem, but often also leads to behavioral issues. In the commonly available medical literature, there are many cases describing the occurrence and treatment of double teeth, both in the incisors and in the cheek teeth. In this article, the authors describe a clinical case of a one-year-old female Golden Retriever dog diagnosed with a double tooth in her permanent dentition. The complex morphology of the affected tooth posed a considerable diagnostic and therapeutic challenge. Surgical separation of the tooth was performed, requiring an individualized treatment approach and the adaptation of protocols derived primarily from human dentistry. This case highlights the diagnostic and clinical decision-making difficulties associated with such anomalies. It also emphasizes the importance of tailored therapeutic strategies for managing rare dental developmental abnormalities in dogs. The teeth were successfully surgically separated, and thus the present report contributes to the limited body of literature on double teeth in veterinary patients and provides practical insight into their management. This description of the first case of this type in veterinary dentistry aims to encourage readers to explore the topic of double teeth and demonstrates a non-standard way of thinking and dealing with such a tooth. The presented case is unique from both a diagnostic and therapeutic perspective. Previous publications have focused on these abnormalities as separate entities, failing to consider their simultaneous occurrence within a single tooth. The therapeutic approach employed also deserves particular attention. The most commonly recommended approach involves extraction of the affected teeth; however, in this case, an attempt was made to separate and preserve them, representing a novel clinical approach. Full article

Permanent magnet synchronous motors (PMSMs) have been widely used in new-energy vehicles and industrial servo systems. However, demagnetization faults (DMFs) can lead to severe issues, including torque ripple and magnetic field distortion. This paper proposes an intelligent diagnostic approach for DMFs based on stator tooth flux (STF). A mathematical model of STF is formulated, and the magnetic flux change is measured using multiple sets of anti-series-connected detection coils (DCs). By combining finite element simulation with signal processing technology, we establish a comprehensive diagnostic system covering fault feature extraction, fault location identification, and severity assessment is established. The proposed method employs wavelet transform (WT) to extract time-frequency features of voltage signals and combines it with a convolutional neural network (CNN) to form the WT-CNN intelligent diagnosis model. Based on the extracted voltage signal features, the method achieves intelligent identification and visual localization of DMFs. Simulation results show that the proposed method achieves an accuracy above 80% for fault location identification (defined as sample-level multi-label classification accuracy across 12 PMs) and above 85% for demagnetization severity estimation (defined as classification accuracy across 9 severity degrees from 10% to 90%). These results provide an effective technical foundation for motor condition monitoring and fault early warning in simulation environments. Full article

Impacted mandibular third-molar surgery commonly causes early postoperative pain, swelling, and trismus. This randomized, controlled, three-arm parallel trial evaluated whether intra-alveolar corticosteroid delivery via an absorbable gelatin sponge improves postoperative recovery compared with a saline control. Fifty-five patients were assessed for eligibility; 37 healthy adults (18–35 years) undergoing standardized mandibular third-molar extraction were randomized to dexamethasone 8 mg (Decort^®), methylprednisolone 40 mg (Prednol^®), or control (saline), all applied intra-alveolarly using a gelatin sponge carrier. Doses were selected using standard systemic glucocorticoid equivalence tables as a pragmatic potency reference, acknowledging unknown intra-alveolar pharmacokinetics/bioavailability. The prespecified primary endpoint (used for sample size planning) was postoperative Day 1 VAS pain; key secondary endpoints were Day 1 analgesic consumption and Day 3 facial swelling. Pain (VAS), analgesic use, trismus, and facial swelling (tragus–pogonion, tragus–labial commissure, and angulus–canthus distances) were assessed on postoperative Days 1, 2, 3, and 7 by a blinded evaluator. Two participants in the methylprednisolone group did not attend postoperative visits. To address potential attrition bias, an Intention-to-Treat (ITT) sensitivity analysis using conservative control-median imputation was performed alongside the available-case analyses. A global False Discovery Rate (FDR) correction was also applied to control for multiplicity. In both analyses, the steroid groups showed lower Day 1 pain scores than the control group. Methylprednisolone was associated with lower Day 3 swelling values than control for the tragus–pogonion and angulus–canthus measurements. These findings should be interpreted as preliminary, given the small sample size, linear swelling measurements, and lack of blinding verification. Full article

Background: A solid understanding of dental and craniofacial anatomy is essential for reliable clinical practice, yet long-term retention of anatomical knowledge is known to decline as students progress through their training. Although digital- and image-based resources are widely used in anatomy education, it remains unclear whether two-dimensional (2D) representations support durable recognition of complex anatomical structures. This study investigated whether tactile engagement with real three-dimensional (3D) anatomical specimens enhances long-term identification accuracy compared with standardized 2D images. Materials and Methods: Eighty-nine fifth-year dental students at the University of Oslo were assessed approximately 2.5 years after completing their formal anatomy course. All students completed two sequential identification tests on the same day: a 2D image-based test followed immediately by an equivalent test using real extracted human teeth and real skull bones. The assessments comprised 28 osteology structures and 14 teeth. Performance between conditions was compared using mixed-effects logistic regression with test modality as a fixed effect and participant and anatomical item as crossed random effects. Results: Overall identification accuracy increased from 52% in the 2D condition to 74% in the 3D tactile condition (p < 0.0001). Mean accuracy for osteology improved from 0.519 (SD = 0.074) to 0.708 (SD = 0.072) (p < 0.0001), while tooth morphology scores increased from 0.535 (SD = 0.097) to 0.795 (SD = 0.110) (p < 0.0001). All individual teeth and nearly all osteological structures showed significantly higher identification accuracy in the 3D condition. The largest gains were observed for structures with low 2D recognition. Conclusions: Tactile interaction with real 3D anatomical specimens substantially enhances long-term recognition of dental and craniofacial anatomy. These findings support the continued integration of hands-on, three-dimensional learning alongside digital resources in dental anatomy education to promote durable anatomical understanding and clinical preparedness. Full article

The load of the elastic tooth drum-type pepper harvester is a key parameter affecting harvesting efficiency and quality. Real-time analysis and prediction of drum load are crucial for stabilizing harvester operation and optimizing performance. Existing research focuses on either machine vision-based image analysis, which is difficult to collect in the field, or parameter-mapping methods, which suffer from time lag. This study proposes a GARCH-KPCA-ATLSTM method for load prediction, combining the generalized autoregressive conditional heteroskedasticity (GARCH) model, kernel principal component analysis (KPCA), and attention-enhanced long short-term memory (ATLSTM). EMD is first applied to denoise and reconstruct the load signal, removing mechanical vibration and other interferences. Conditional heteroskedasticity is confirmed, and the GARCH series (one symmetric and three asymmetric models) is introduced to extract fluctuation features. KPCA reduces dimensionality, removing redundant information and saving 2.91 s in computation while slightly improving accuracy. Additive attention in LSTM emphasizes critical information, enhancing learning of nonlinear relationships and further improving prediction. Comparative experiments demonstrate the model’s reliability. The method achieves RMSE = 0.911, MAE = 0.682, MBE = −0.025, MAPE = 1.147%, R² = 0.968, with a runtime of 2.023 s, confirming high accuracy and stability. This study provides a theoretical and technical foundation for real-time load prediction of pepper harvesters. Full article

Objective: To report a rare case of pulp space tissue growth in a mature mandibular molar with severe endo-periodontal involvement after conservative endodontic treatment and to discuss the possible biological explanations, including regeneration and granulation tissue healing. Severe endo-periodontal lesions are challenging, particularly as endodontic regeneration is usually observed in immature teeth, while revascularization in mature teeth, especially in cases of advanced periodontal disease, is rare, as demonstrated in this case. Methods: This study reports a rare case of tissue regeneration versus granulation tissue healing in the pulp space, occurring alongside periodontal healing, in a mature mandibular molar with necrotic pulp and severe periodontal involvement. A 52-year-old patient presented with a mature mandibular molar (tooth #19) exhibiting necrotic pulp with severe endo-periodontal involvement, including grade-3 mobility, tenderness to percussion, a 12 mm probing depth, and extensive periradicular radiolucency. The tooth was diagnosed with necrotic pulp and symptomatic apical periodontitis and was deemed hopeless, with extraction planned. Results: Following patient refusal, endodontic treatment was initiated, including cleaning, shaping, and placement of the intracanal medicament, Ledermix. The patient canceled the extraction due to symptom resolution and disappeared for 12 months. On return, the patient presented with spontaneous pain exacerbated by thermal stimuli, consistent with symptoms of irreversible pulpitis. Clinical examination revealed significant clinical and radiographic improvements, including reduced probing depth (3 mm), no mobility, resolution of apical translucency, radiographic findings suggestive of canal narrowing, and a positive pulp sensibility response. Re-entry elicited profuse bleeding with newly formed vital tissue beneath the medicament. Sodium hypochlorite irrigation failed to achieve hemostasis; inflamed tissue was removed; root canals were cleaned, shaped and obturated; and treatment was completed with placement of a permanent coronal resin composite restoration. A forty-month follow-up showed an asymptomatic tooth with clinical and radiographic healing. Conclusions: This case demonstrates that conservative endodontic management may result in favorable clinical and radiographic outcomes in mature teeth with severe endo-peroidontal involvement, influencing extraction decisions. It provides clinical evidence suggestive of tissue regeneration and periodontal healing in a mature tooth with necrotic pulp and severe periodontal compromise, challenging conventional prognosis. The observed pulp space tissue growth may be suggestive of regeneration; however, alternative explanations, including granulation tissue healing or repair processes, cannot be excluded. Healing by granulation tissue in the pulp space remains possible. Root canal treatment in advanced endo-perio lesions can yield favorable outcomes and may influence extraction decisions. Further clinical and histological studies are needed to clarify underlying mechanisms and optimize treatment strategies. Full article

African swine fever (ASF), caused by African swine fever virus (ASFV), is a highly destructive transboundary disease in domestic pigs. The circulating virus in this study belonged to ASFV genotype II, commonly associated with high virulence. In endemic regions such as Thailand, limited vaccine availability and shortages of naïve breeding stock necessitate reliance on early detection, surveillance, and the retention of convalescent sows, thereby raising concerns regarding viral persistence and reproductive performance. This study evaluated the long-term reproductive performance of convalescent sows compared with naïve cohorts under co-habitation conditions, while assessing the efficacy of passive surveillance and strict biosecurity in preventing viral transmission from both internal and external sources. Convalescent sows showed reproductive performance comparable to naïve cohorts across two parities. Long-term co-habitation with naïve sentinel pigs was not associated with detectable viral transmission, although low-level viral persistence or intermittent shedding cannot be excluded. From a disease control perspective, the transition from delayed detection to enhanced passive surveillance facilitated early clinical recognition and targeted removal (“tooth extraction”) of infected animals, effectively limiting intra-herd transmission without full depopulation. Importantly, irrespective of the uncertain carrier status, strict biosecurity and rapid response protocols appeared effective in mitigating both external introduction and within-farm transmission of ASFV. These findings suggest that, under appropriate management and biosecurity conditions, convalescent sows may be reintegrated into production systems with caution. Full article

Background: Emphysema is a rare complication of dental procedures. The highest incidence has been associated with the use of air turbine handpieces. If not recognized and treated promptly, this complication can lead to serious outcomes. Methods: We present a case of a 43-year-old man who developed deep cervicofacial and subcutaneous emphysema of the face, neck and chest along with the specific voice change due to nose blowing shortly after alveolectomy of the lower right third molar. Results: The patient was hospitalized, conservatively treated, monitored and treated with intravenous antibiotic therapy. After two weeks he made a full recovery. Conclusions: It is essential to recognize and adequately manage emphysema, and to inform patients postoperatively not to blow their nose after third molar alveolectomy to prevent this rare but potentially serious complication. To our knowledge, this is the first reported case of voice alteration caused by nasopharyngeal emphysema following third molar alveolectomy. Full article

Bornaviruses are neurotropic, negative-sense RNA viruses with zoonotic potential, notably Borna disease virus 1 (BoDV-1) and variegated squirrel bornavirus 1 (VSBV-1). BoDV-1 is endemic in certain regions of Central Europe and maintained in bicolored white-toothed shrews, but its presence in Croatia has not been investigated. Given Croatia’s diverse biogeography and the prevalence of rodent-borne diseases, this study aimed to investigate the presence of orthobornaviruses in wild canids and mustelids. Brain samples from red foxes (Vulpes vulpes), golden jackals (Canis aureus moreoticus), wolves (Canis lupus), martens (Martes martes) and badgers (Meles meles) were analysed using pan-bornavirus RT-PCR. Despite successful RNA extraction and internal control amplification, bornavirus RNA was not detected in any of the 860 animal samples tested. Although no orthobornavirus RNA was detected, the results still provide valuable information: bornavirus infections appear to be absent or extremely rare in Croatian wild canids and mustelids. By excluding these species as current potential reservoir hosts, this study helps to refine the geographical extent of bornavirus endemicity and emphasises the importance of continuous One Health surveillance in regions with favourable ecological conditions for zoonotic spillover. Full article

Vitamin D plays an important role in bone metabolism and may influence postoperative healing processes. This study evaluated the association between preoperative serum vitamin D levels and recovery after mandibular third molar extraction. This secondary exploratory analysis included 122 healthy patients undergoing surgical extraction of an impacted mandibular third molar, of whom 98 had complete datasets for clinical and radiographic evaluation. Postoperative outcomes included pain intensity, facial swelling, trismus, early soft tissue healing assessed with the Wachtel Early Healing Index, and bone regeneration evaluated four months after surgery using CBCT-based fractal dimension analysis. Serum vitamin D levels were not significantly associated with postoperative pain, trismus, or early soft tissue healing. A weak correlation was observed between lower vitamin D levels and greater swelling along the tragus–pogonion line on postoperative day 1 (ρ = −0.21, p = 0.035), with no significant associations at later time points. Fractal dimension analysis did not demonstrate significant differences between groups. Within the limitations of this secondary exploratory analysis, vitamin D levels showed limited and inconsistent associations with postoperative outcomes, and their clinical relevance remains uncertain. Full article

To address the prominent fatigue failure risk of planetary gears in power-split hybrid buses and the lack of quantitative damage analysis across various operating modes in existing studies, this paper focuses on the front planetary gear set of a power-split hybrid bus. Based on a full-vehicle co-simulation model, loads under full operating conditions are decomposed into 11 operating modes, mode-switching loads are analyzed and extracted, and mode-decomposed and mode-switching fatigue loading spectra are compiled. Fatigue simulation is then conducted using Miner’s linear damage accumulation rule. Results show that the sun gear directly coupled to motor is the system’s most fatigue-susceptible component, exhibiting significant asymmetric unilateral tooth flank damage. The hybrid electric vehicle (HEV) mode contributes approximately 88% of total damage to the sun gear’s right flank, dominating system fatigue damage. Transient mode-switching conditions account for approximately 60% of total damage to the sun gear’s left flank, serving as the core damage source. Compared with the traditional full-condition merging method, the proposed mode-decomposed method improves the conservatism of life prediction. This work provides methodological support for refined strength design and targeted optimization of power-split hybrid transmission systems. Full article

Extracting periodic fault pulses caused by gear surface fatigue in reducers is often hindered by transmission path interference and strong background noise. Moreover, the traditional Variational Mode Decomposition (VMD) and Maximum Correlation Kurtosis Decomposition (MCKD) method rely on manual parameter selection, which limits its practicality. To address these issues, this paper proposes a parameter-adaptive VMD-MCKD method based on vibration signals for extracting gear surface fatigue fault features. Using the reciprocal of the peak indicator squared of decomposed signals as fitness functions, the method employs the global search capability of the Sparrow Search Algorithm to adaptively select optimal VMD-MCKD configurations. The optimized VMD-MCKD method is applied to decompose gear surface fatigue fault signals, effectively filtering out noise while highlighting periodic fault pulses caused by gear fatigue. Envelope demodulation is then performed to extract characteristic frequency components of gear surface fatigue faults. Experimental results demonstrate that the proposed method can adaptively extract periodic fault pulse components from strong noise environments, achieving a 2-fold improvement in signal kurtosis and enhanced robustness. Full article

The electro-hydraulic pump (EHP), as the primary power component of the electro-hydrostatic actuator, typically operates in a wet environment filled with hydraulic oil, thereby experiencing vibration response alterations due to the added mass of the fluid. Accurate identification of the wet modal characteristics is essential for improving the fidelity of electromagnetic vibration prediction in EHPs. In this work, an integrated EHP is investigated. A finite-element model is established to perform dry and wet modal analyses, from which the first nine natural frequencies and associated mode shapes are extracted. Dry and wet experimental modal tests are then conducted using an impact-hammer setup to validate the numerical model. The results indicate a systematic reduction in natural frequencies under oil-filled conditions, with more pronounced shifts in the lower-order modes; a maximum decrease of 10.92% is observed. On this basis, the stator tooth electromagnetic forces are obtained from two-dimensional electromagnetic finite-element simulations, and vibration responses are predicted via modal superposition using either dry or wet modal parameters. Finally, vibration measurements are performed under oil-filled operating conditions. The measured spectra exhibit pronounced tonal components at the electrical fundamental frequency and its even harmonics, and wet modal-based electromagnetic vibration prediction improves the accuracy by 78.90% relative to the dry modal-based prediction. These findings provide both theoretical support and practical guidance for low-vibration and low-noise design of EHPs. Full article

Background: Feline chronic gingivostomatitis (FCGS) is refractory stomatitis in cats. The cure rate of tooth extraction selected as a primary surgical treatment is insufficient. Methods: 52 FCGS-suspected cats, including 22 tooth-extracted and 30 unextracted cats, were studied. Commercially available antiviral and antibacterial agents were orally administered as initial treatment, followed by the antiviral agent solely as maintenance therapy. We examined the influence of prior tooth extraction on the therapeutic efficacy of these two drugs by analyzing changes in some physical signs and clinical laboratory biomarkers. Results: Mass spectrometric analysis revealed the active ingredients of antibacterial and antiviral were Moxifloxacin and Molnupiravir, respectively. All physical signs (weight, appetite, activity level, grooming behavior, ptyalism, erythema) showed statistically significant improvements with combined administration of these drugs. Numbers of white blood cells, neutrophils and monocytes, as well as circulating levels of total protein, albumin, globulin, and serum amyloid-A all statistically significantly decreased with their administration (p < 0.0001). Conclusions: No statistically significant differences were detected between two FCGS groups in the changes in any of the above physical signs or clinical biomarker levels, indicating combination therapy with antibacterial and antiviral agents leads to effective treatment of FCGS, regardless of whether prior tooth extraction was performed or not. Full article

Background/Objectives: Vision-language models (VLMs) such as GPT (Generative Pre-Trained Transformer) have shown potential for medical image interpretation; however, challenges remain in generating reliable radiological findings in clinical practice, as exemplified by dental pathologies. This study proposes a Self-correction Loop with Structured Output (SLSO) framework as an integrated processing methodology to enhance the accuracy and reliability of AI-generated findings for jaw cysts in dental panoramic radiographs. Methods: Dental panoramic radiographs with jaw cysts were used to implement a 10-step integrated processing framework incorporating image analysis, structured data generation, tooth number extraction, consistency checking, and iterative regeneration. The framework functioned as an external validation mechanism for GPT outputs. Performance was compared against the conventional Chain-of-Thought (CoT) method across seven evaluation items: transparency, internal structure, borders, root resorption, tooth displacement, relationships with other structures, and tooth number. Results: The SLSO framework improved output accuracy for multiple items compared to the CoT method, with the most notable improvements observed in tooth number identification, tooth displacement detection, and root resorption assessment. In successful cases, consistently structured outputs were achieved after up to five regenerations. The framework enforced explicit negative finding descriptions and suppressed hallucinations, although accurate identification of extensive lesions spanning multiple teeth remained limited. Conclusions: This investigation established the feasibility of the proposed integrated processing methodology and provided a foundation for future validation studies with larger, more diverse datasets. Full article