Bruxism is a masticatory muscle activity characterized by high prevalence, widespread complications, and serious consequences but without specific guidelines for its diagnosis and treatment. Although occlusal force-based biofeedback therapy is proven to be safe, effective, and with few side effects in improving bruxism, its mechanism and key technologies remain unclear. The purpose of this study was to research a real-time, quantitative, intelligent, and precise force-based biofeedback detection device based on artificial intelligence (AI) algorithms for the diagnosis and treatment of bruxism. Stress sensors were integrated and embedded into a resin-based occlusion stabilization splint by using a layering technique (sandwich method). The sensor system mainly consisted of a pressure signal acquisition module, a main control module, and a server terminal. A machine learning algorithm was leveraged for occlusal force data processing and parameter configuration. This study implemented a sensor prototype system from scratch to fully evaluate each component of the intelligent splint. Experiment results showed reasonable parameter metrics for the sensors system and demonstrated the feasibility of the proposed scheme for bruxism treatment. The intelligent occlusion stabilization splint with a stress sensor system is a promising approach to bruxism diagnosis and treatment.Sensors 2020, 20, 89 2 of 15 discussion summary, the existing assessment of bruxism could also be classified into three main aspects: (1) noninstrumental approaches, (2) instrumental approaches, and (3) cut-off points grading [6]. Self-report and clinical examination are considered as noninstrumental approaches, which are also the primary choices in the clinical assessment of bruxism. However, their reliability and validity need further improvement [6]. EMG may provide good evidence of both sleep and awake bruxism, but there is also a risk of overestimating the number of true SB events [7]. PSG could be regarded as a reference standard for SB assessment; however, it is expensive and time-consuming [2]. To date, the reliability and validity of all the common techniques remain debatable, and consensus has yet to be established regarding the best method to diagnose bruxism. Therefore, exploring some new methods of bruxism diagnosis and management is a necessary and meaningful research topic.The use of biofeedback technologies (electrical, auditory, vibratory stimulus, etc.) as behavioral techniques of bruxism diagnosis and treatment has been considered a promising approach in both clinical and scientific fields in recent years [8]. Various biofeedback modalities have been reported in previous papers, and most of these are based on EMG recordings, except two studies that described force-based devices [8,9]. An intra-splint force detector (ISFD) for SB force detection was described in 2003 [10]. A detailed description of this SB inhibition system has been presented in a recently published paper [11]. This inhibition system consisted of ISFD, vibration, and co...

As cloud applications proliferate and data-processing demands increase, server resources must grow to unleash the performance of emerging workloads that scale well with large number of compute nodes. Nevertheless, power has become a crucial bottleneck that restricts horizontal scaling (scale out) of server systems, especially in datacenters that employ power over-subscription. When a datacenter hits the maximum capacity of its power provisioning equipment, the owner has to either build another facility or upgrade existing utility power infrastructure -both approaches add huge capital expenditure, require significant construction lead time, and can further increase the owner's carbon footprint.This paper proposes Oasis, a power provisioning scheme for enabling power-/carbon-constrained datacenter servers to scale out economically and sustainably. Oasis naturally supports incremental power capacity expansion with near-zero environmental impact as it takes advantages of modular renewable energy system and emerging distributed battery architecture. It allows scale-out datacenter to double its capacity using 100% green energy with up to 25% less overhead cost. This paper also describes our implementation of Oasis prototype and introduces our multi-source driven power management scheme Ozone. Ozone allows Oasis to identify the most suitable power supply control strategies and adjust server load cooperatively to maximize overall system efficiency and reliability. Our results show that Ozone could reduce the performance degradation of Oasis to 1%, extend Oasis battery lifetime by over 50%, and almost triple the average battery backup capacity which is crucial for mission-critical systems. Figure 1: "How will your organization handle increased capacity demand over the next 12-18 months" -results from the Uptime Institute 2012 Data Center Industry Survey [3].

Purpose To explore the challenges faced in the diagnosis and treatment of atypical odontalgia (AO) and other persistent idiopathic facial pain (PIFP). Patients and Methods This retrospective multi-centric cross-sectional study utilized clinical information (eg, clinical manifestations, history of consultations and treatments prior to correct diagnoses) from patients’ medical records. Their economic parameters were also extracted from medical insurance databases. Each variable collected was statistically analyzed. Differences of variables between AO and other PIFP were statistically tested. Results A total of 394 patients were included in this study. On average, the diagnostic delay was 34.8±14.2 months, a median of 7 consultations were performed prior to a correct diagnosis, and 5 ineffective prescriptions were issued. Patients with AO suffered from longer diagnostic delays than patients with other PIFP (38.4±14.3 months vs 31.6±13.4 months) and were more likely to receive invasive dental treatments (73.3% vs 4.3%). The median total cost of treatment for a single patient before correct diagnosis was 8506.3 yuan. Patients with AO spent more than patients with other PIFP (10,146.5 Yuan vs 3864.0 Yuan). Conclusion Patients with PIFP were frequently misdiagnosed and the length of diagnostic delay was observed to be long. Ineffective medications, unwarranted procedures, and unnecessary economic burden were imposed on the patients. Patients with AO are in a worse situation than patients with other PIFP. As significantly urgent and unsatisfactory results of misdiagnosis of PIFP have been reported in our study, more attention should be paid on the research and education in this field.

Purpose This study aims to explore the influence mechanism of digital platform capability on firm performance in the business-to-business (B2B) context. This study draws on the core competence theory and the resource-based view and includes resource identification, resource allocation and intrapreneurship into the research framework. Design/methodology/approach Data were collected from 167 B2B firms with survey questionnaires in central, eastern and southeastern coastal areas of China. The firms were mainly involved in e-commerce, manufacturing, service industry and internet technology. Participants were mainly middle and senior managers with a comprehensive grasp of their firms’ information. Findings This study found that digital platform capability has a positive impact on a B2B firm’s performance. Resource identification, resource allocation and intrapreneurship play a chain mediating role between digital platform capability and firm performance. That is, digital platform capability could promote employee intrapreneurship through resource identification and resource allocation, thereby improving firm performance. Practical implications Aiming to gain performance, firms should pay attention to the construction of digital platforms, increase venture capital investment and provide more resources to support intrapreneurship. Originality/value Based on empirical evidence, to the best of authors’ knowledge, this is the first attempt to link digital platform capability and firm performance in the B2B context of emerging markets, providing a new perspective to clarify its relationship mechanism.

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