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Objectives : To identify and estimate the non-point source (NPS) pollution loads in the Yongdam watershed, and to take an appropriate NPS management plan suitable for the environmental conditions of the sub-basin of Yongdam watershed.Methods : The NPS pollutant loads of the Yongdam watershed was investigated to establish the hydrological simulation program-fortran (HSPF) model for the study area so that the characteristics of non-point runoff were simulated. Furthermore, the detailed catchment area subject to non-point pollution management was selected and the effect of reducing non-point pollution was examined based on the various simulation results.Results and Discussion : The three sub-basins, including specific component of catchments, of Yongdam watershed was selected according to the load intensity and distribution of NPS pollution. The result of analyzing the load flowing into the downstream by rainfall intensity revealed that the pollutant load accounted for 11.8~19.9% in the dry season, and for Jinan-cheon sub-basin the load was high in the range of 10~30 mm while Janggye-cheon sub-basin and downstream of Janggye-cheon junction sub-basin showed a high load in the range 30~60 mm. In addition, the load duration curve (LDC) showed the excess frequency of BOD load was high when the flow rate increased at the end of stream for each sub-basin, whereas the load excess frequency was high in T-P in the entire flow range. LDC analysis led to us that the water quality of stream was affected by point and non-point pollutants in a complex way. When the ground cover in a farm were installed by selecting 10 detailed catchments with high need for NPS pollution management, the reduction of T-P load was estimated to be reduced by 325.256~995.912 g/d in Jinan-cheon sub-basin, 1279.813~3327.513 g/d in Janggye-cheon sub-basin, and 1316.831~3555.443 g/d in downstream of Janggye-cheon junction sub-basin.Conclusion : Through various simulation experiments using the HSPF model, it was feasible to select an catchment subject to NPS pollution control in detail and evaluate the effect of reducing NPS pollution.

Owing to the recent developments in computer technology and nationally accumulated hydrology, land use, soil characteristics and flow and water quality monitoring data, high-level modelling results are required. However, as most catchments have a mixture of urban and rural areas, it is challenging to apply one effective model. This study applied a hydrological simulation program to a storm water management model for the Jeonju catchment, South Korea, which has complex land-use characteristics, to determine the hydrological cycle of the catchment, analyse the river water quality and examine the structure of discharge pollutants. The linked model includes an analysis of the sewer pipes, which are the main path of hydrology and pollution loads in urban areas, a low-impact development application, a water circulation improvement technique and an initial storm water treatment facility installation project. This linked model will be very useful for guiding future urban water quality policy.

Background: This study aimed to confirm the efficacy of ultrasound-guided adductor canal block (ACB) as a treatment option for medial knee pain caused by knee osteoarthritis (KOA). Methods: In total, 31 participants with medial knee pain due to KOA were randomized to either the ACB (ultrasound-guided ACB, n = 15) or placebo group (1 mL of 1% lidocaine, n = 16). The primary outcome was a numerical rating scale (NRS) for knee pain intensity comparing before and 4 weeks after injection. The secondary outcomes were the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), average daily number of analgesics consumed, average daily opioid consumption, and Timed Up and Go (TUG) test results before and 4 weeks after injection. Results: Participants’ baseline characteristics were not significantly different between the groups, except for age. At 4 weeks post-injection, the NRS score in the ACB group significantly improved compared to that in the placebo group (p = 0.009). However, the WOMAC, average daily number of analgesics consumed, average daily opioid consumption, and TUG test results did not show significant differences. Conclusion: ACB can be an effective treatment for reducing medial knee pain in patients with KOA.

The sensitivity of underwater propagation models to acoustic and environmental variability increases with the signal frequency; therefore, realizing accurate acoustic propagation predictions is difficult. Owing to this mismatch between the model and actual scenarios, achieving high-frequency source localization using model-based methods is generally difficult. To address this issue, we propose a deep learning approach trained on real data. In this study, we focused on depth estimation. Several 18-layer residual neural networks were trained on a normalized log-scaled spectrogram that was measured using a single hydrophone. The algorithm was evaluated using measured data transmitted from the linear frequency modulation chirp probe (11-31 kHz) in the shallow-water acoustic variability experiment 2015. The signal was received through two vertical line arrays (VLAs). The proposed method was applied to all 16 sensors of the VLA to determine the estimation performance with respect to the receiver depth. Furthermore, frequency-difference matched field processing was applied to the experimental data for comparison. The results indicate that ResNet can determine complicated features of high-frequency signals and predict depths, regardless of the receiver depth, while exhibiting robust environmental and positional variability.

Purpose Kikuchi disease (KD) is typically a benign disease. Recent studies reporting recurrence or serious cases suggest a possible association of KD with systemic autoimmune disorders. We performed a long-term analysis of the characteristics of KD in patients of all ages and assessed KD recurrence or progress to systemic autoimmune disorders. Patients and methods Electronic medical records of patients diagnosed with KD between April 1995 and May 2017 were reviewed for clinical and laboratory manifestations. Results In total, 480 patients were confirmed to have KD based on histopathology findings. The mean age at KD diagnosis was 24.4 years. Recurrence occurred in 11.3% of patients; 2.7% developed autoimmune diseases after KD diagnosis. Patients who experienced recurrence had more extranodal symptoms, lymphopenia, and a longer lymphopenia-recovery duration. Patients who developed autoimmune diseases after KD were more likely to have extranodal symptoms, KD recurrence, and anti-nuclear antibody positivity. Conclusion KD patients with risk factors need to be followed-up for KD recurrence and the development of systemic autoimmune diseases.

In this paper, we focus on various compression and classification algorithms for three different paralinguistic signal classification tasks. These tasks are quite difficult for humans because the sound information from such signals is difficult to distinguish. Therefore, when machine learning techniques are applied to analyze paralinguistic signals, several different aspects of speech-related information, such as prosody, energy, and cepstral information, are usually considered for feature extraction. However, when the size of the training corpus is not sufficiently large, it is extremely difficult to directly apply machine learning to classify such signals due to their high feature dimensions; this problem is also known as the curse of dimensionality. This paper proposes to address this limitation by means of feature compression. First, we present experimental results obtained by using various compression algorithms to compress signals to eliminate redundancy of the signal features. We observe that compared with the original features, the compressed signal features still provide a comparable ability to distinguish the signals, especially when using a fully connected neural network classifier. Second, we calculate the output distribution of the F1-score for each emotion in the speech emotion recognition problem and show that the fully connected neural network classifier performs more stably than other classical methods.

Recently, edge computing is getting attention as a new computing paradigm that is expected to achieve short-delay and high-throughput task offloading for large scale Internet-of-Things (IoT) applications. In edge computing, workload distribution is one of the most critical issues that largely influences the delay and throughput performance of edge clouds, especially in distributed Function-as-a-Service (FaaS) over networked edge nodes. In this paper, we propose the Resource Allocation Control Engine with Reinforcement learning (RACER), which provides an efficient workload distribution strategy to reduce the task response slowdown with per-task response time Quality-of-Service (QoS). First, we present a novel problem formulation with the per-task QoS constraint derived from the well-known token bucket mechanism . Second, we employ a problem relaxation to reduce the overall computation complexity by compromising just a bit of optimality. Lastly, we take the deep reinforcement learning approach as an alternative solution to the workload distribution problem to cope with the uncertainty and dynamicity of underlying environments. Evaluation results show that RACER achieves a significant improvement in terms of per-task QoS violation ratio, average slowdown, and control efficiency, compared to AREA, a state-of-the-art workload distribution method.

Osteoarthritis (OA), although extensively researched, still lacks an effective and safe treatment. The only current treatment option available for advanced OA is joint replacement surgery. This surgery may pose the risks of persistent pain, surgical complications and limited implant lifespan. Transforming growth factor (TGF)‑β has a crucial role in multiple cellular processes such as cell proliferation. Any deterioration in TGF‑β signaling pathways can have an immense impact on OA. Owing to the crucial role of TGF‑β in cartilage homeostasis, targeting it could be an alternative therapeutic approach. Additionally, stem cell‑based therapy has recently emerged as an effective treatment strategy that could replace surgery. A number of recent findings suggest that the tissue regeneration effect of stem cells is attributed to the paracrine secretion of anti‑inflammatory and chondroprotective mediators or trophic factors, particularly nanosized extracellular vesicles (i.e., exosomes). Literature searches were performed in the MEDLINE, EMBASE, Cochrane Library and PubMed electronic database for relevant articles published before September 2021. Multiple investigators have confirmed TGF‑β3 as a promising candidate which has the chondrogenic potential to repair articular cartilage degeneration. Combining TGF‑β3 with bone morphogenetic proteins‑6, which has synergistic effect on chondrogenesis, with an efficient platform such as exosomes, which themselves possess a chondroprotective function, offers an innovative and more efficient approach to treat injured cartilage. In addition, multiple findings stating the role of exosomes in chondroprotection has also verified a similar fact showing exosomes may be a more favorable choice than the source itself. In the present review, the importance of TGF‑β family in OA and the possibility of therapeutic treatment using stem cell‑derived exosomes are described.

ObjectivesTo evaluate the difference between healthcare professionals (HCPs) and adults with spinal cord injury (SCI) in Asia regarding knowledge and interpretation of ‘exercise intensity’ for aerobic exercise prescription.Methods and study designA survey was distributed to practising HCP and adults with SCI. It was completed in participants’ local language on topics related to the importance of exercise frequency, intensity, time and type; methods for monitoring and terms related to exercise intensity prescription. χ2analysis was used to detect differences in HCP or those with SCI.Results121 HCP and 107 adults with an SCI ≥1 years (C1–L4) participated. Responses revealed 61% of all HCP ranked ‘intensity’ being most important whereas only 38% respondents from the SCI group ranked it as high importance (p=0.008). For those with SCI, ‘frequency’ was most important (61%) which was significantly higher than the 45% selected by HCPs (p=0.030). Of the 228 respondents on average only 34% believed that the terms, ‘moderate’ and ‘vigorous’ provided enough information for aerobic exercise intensity prescription. HCP most often used HR methods compared with the SCI group (90% vs 54%; pConclusionsThese differences must be considered when developing clinical-practice exercise guidelines and health referral educational pathways for adults with SCI in Asia.

Objective Bilateral frozen shoulder (FS) is often treated with intra-articular corticosteroid injection (IACI). No studies have been performed to establish whether IACI must be administered in both shoulders or in only one shoulder to improve function. This study was therefore performed to determine whether unilateral IACI improves shoulder pain and passive range of motion (pROM) in bilateral FS. Methods The medical records of 165 patients with bilateral primary FS who underwent ultrasonography-guided IACI (2 mL of 10-mg/mL triamcinolone acetonide mixed with 5 mL of 1% lidocaine) in one shoulder were retrospectively reviewed. The outcome measures, namely the numeric rating scale (NRS) scores and pROM values (abduction, external rotation, flexion, hyperextension, and internal rotation), were evaluated pre- and post-injection. Results The patients’ mean age was 54.0 ± 8.0 years. The mean symptom duration was 6.5 ± 2.8 months. The mean follow-up period after injection was 6.7 ± 0.8 weeks. The NRS scores and pROM values significantly improved in both the injected and non-injected shoulders. Conclusions This study showed that unilateral IACI in patients with bilateral FS improves the clinical outcome of the non-injected shoulder. We suggest that physicians observe the non-injected shoulder after unilateral injection rather than performing bilateral injections.