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According to the World Health Organization, one in ten adults will have Type 2 Diabetes Mellitus (T2DM) in the next few years. Autonomic dysfunction is one of the significant complications of T2DM. Autonomic dysfunction is usually assessed by standard Ewing's test and resting Heart Rate Variability (HRV) indices.

Resting HRV has limited use in screening due to its large intra and inter-individual variations. Therefore, a combined approach of resting and orthostatic challenge HRV measurement with a machine learning technique was used in the present study.

A total of 213 subjects of both genders between 20 to 70 years of age participated in this study from March 2018 to December 2019 at Smt. Kashibai Navale Medical College and General Hospital (SKNMCGH) in Pune, India. The volunteers were categorized according to their glycemic status as control (n= 51 Euglycemic) and T2DM (n= 162). The short-term ECG signal in the resting and after an orthostatic challenge was recorded. The HRV indices were extracted frotonomic dysfunction in T2DM as against only resting HRV.
The ability to manipulate the upper limbs and fingers of stroke patients is very important for independent daily life. Among the latest approaches for upper limb rehabilitation training, transcranial direct current stimulation (tDCS) is a non-invasive stimulation method that stimulates the cranial nerves by attaching electrodes to the scalp. In addition, virtual reality (VR) is an intervention method that provides an environment similar to reality and can help restore function by performing body movements as if playing a game. In addition, VR is an intervention method that provides an environment similar to reality and helps to recover functions by performing body movements as if playing a game.

This study was conducted to investigate the effect of anodal tDCS applied to the ipsilateral primary motor cortex (M1) during VR training on the upper limb function, cognition, and executive function of stroke patients.

After 20 patients were randomly assigned to the experimental group and the control group, thee for upper limb function, cognitive function, and executive function in stroke patients.
The use of 3D printed material in the dental field is gaining tremendous attention. However, studies related to 3D printed denture resins are scarce and need consideration before their inclusion in routine clinical practice.

This study aimed to assess the surface roughness (Ra) of 3D printed denture resins following aging and mechanical brushing.

Forty round samples (diameter, 10 mm and thickness, 3 mm) were fabricated from two 3D printed (DentaBASE and Denture 3D+) and one conventional polymethylmethacrylate (PMMA) denture materials. The samples were thermo-cycled, subjected to mechanical brushing, and later immersed in either artificial saliva (AS), coffee, cola, or lemon juice (n= 10) to simulate one and two years of oral use. Surface roughness (Ra) was determined using a non-contact profilometer and scanning electron microscope was used for qualitative analysis. The data was analyzed using SPSS v.20 (α= 0.05).

Denture 3D+ demonstrated highest mean Ra (1.15 ± 0.28 μm), followed by PMMA (0.99 ± 0.50 μm) and DentaBASE (0.81 ± 24). The difference in mean Ra between the materials was statistically non-significant (P= 0.08). Amongst the different beverages used, the highest Ra was observed for samples immersed in lemon juice (1.06 ± 0.40 μm) followed by cola (1.04 ± 0.46 μm) and coffee (0.98 ± 0.40 μm), respectively. The lowest Ra was observed for samples immersed in AS (0.85 ± 0.24 μm).

The surface roughness of 3D printed denture resins was comparable with that of conventional PMMA resins. Denture 3D+ demonstrated the highest mean roughness, followed by PMMA and DentaBASE.
The surface roughness of 3D printed denture resins was comparable with that of conventional PMMA resins. Denture 3D+ demonstrated the highest mean roughness, followed by PMMA and DentaBASE.
This study aimed to investigate the clinical characteristics and outcomes of coronavirus disease-19 (COVID-19) long-term nucleic acid positive patients (hereinafter referred to as CLTAPs).

Patients were recruited from the Xiaogan Central Hospital between 16 January 2020 and 28 March 2020. Among the 562 cases of patients with laboratory-identified COVID-19 infection by real-time polymerase chain reaction (qtPCR), 19 cases of COVID-19 patients with more than 41 days from the first to the last time of nucleic acid test were selected as the study group, and 76 cases of age- and gender-matched COVID-19 patients were selected as the control group (hereinafter referred to as C-CLTAPs). Demographic characteristics, clinical symptoms, laboratory examination and computed tomography (CT) imaging characteristics were retrospectively analyzed.

On admission, among the 562 cases of patients with COVID-19, there were 398 cases of ordinary COVID-19 patients, 99 cases of severe COVID-19 patients and 99 cases of critical COVID-19 patients. CLTAPs had milder clinical symptoms and longer viral shedding time in comparison to C-CLTAPs. Compared to C-CLTAPs, CLTAPs had a lower infection index at admission. CLTAPs used less oxygen therapy and a higher proportion of hydroxychloroquine treatment in comparison to C-CLTAPs. In comparison to C-CLTAPs, CLTAPs showed slower pulmonary CT progression and faster pulmonary CT absorption.

In this study, out of the 562 cases, we found 19 CLTAPs. The clinical differences between CLTAPs and C-CLTAPs were compared and analyzed. We hope that these finding can provide a theoretical basis for the treatment of CLTAPs.
In this study, out of the 562 cases, we found 19 CLTAPs. The clinical differences between CLTAPs and C-CLTAPs were compared and analyzed. We hope that these finding can provide a theoretical basis for the treatment of CLTAPs.
Many inpatients become anxious or frightened about scheduled treatment processes, and medical staff do not have sufficient time to provide emotional support. The recent advancement of information and communications technology (ICT) and the use of artificial intelligence (AI), including robots, in the health care field is being put to the test.

This study aimed to develop a bedside robot system to deliver information and provide emotional support to inpatients and to evaluate the usability and perceptions of the developed robot.

The first stage was accomplished by deriving essential functions from the results of user demand surveys on robots and by implementing a prototype by mapping each essential function to the robot's hardware and software. For the second stage, the robot was assessed for usability and perceptions in a simulation center, a hospital-like environment, by 10 nurses, 10 inpatients, and family caregivers. Usability and perception were evaluated using the think-aloud method, a survey, and ort through information delivery and communication.
Physical therapy treatment has gradually become important in hospitals. This paper focused on elbow joint rehabilitation, as this form of rehabilitation is used most often. Moreover, most elbow joint rehabilitation programs could be conducted at home without going to a medical institution, which will economize medical manpower.

How to judge the correct rehabilitation motion becomes an issue for elbow joint rehabilitation at home. Therefore, this study proposed a residential elbow joint rehabilitation system (REJRS) by smartphone with a cloud database to address these issues.

REJRS has the ability to judge the correct motions and times of rehabilitation in real time. When the rehabilitation motions are incorrect, the number of rehabilitation repetitions is insufficient, or a timed rehabilitation session is insufficient, the patient will receive a warning text and light alert by REJRS. Then, the data of rehabilitation sessions are uploaded to the cloud database immediately.

Patients can query their rehabilitation data at all times. Moreover, medical staff can track the status of each patient's rehabilitation at any time and any place by downloading the data from the cloud database via the Internet. In our experimental results, the rate for detecting the correct elbow joint rehabilitation motion was up to 90%.

The results show that REJRS could be applied for residential elbow joint rehabilitation. In the future, REJRS will be verified by the Institutional Review Board (IRB) for application to clinical treatment.
The results show that REJRS could be applied for residential elbow joint rehabilitation. In the future, REJRS will be verified by the Institutional Review Board (IRB) for application to clinical treatment.
Dentine hypersensitivity is one of the most common chief complaints of patients observed by dentists in their practice. However, there is a lack of universal consensus over the selection of reliable treatment modality.

To compare the effectiveness between dentine desensitizer and self-etch adhesive in patients complaining of moderate to severe dentine hypersensitivity pain.

A total of 254 patients with moderate to severe dentine hypersensitivity were randomly divided into Group A (Single Bond Universal Agent) and Group B (Seal & Protect Agent) according to the treatment provided. Sensitivity was assessed by means of mechanical (probing) and evaporative (air blast) stimuli. Discomfort Internal Scale (DIS) was explained to patients. DIS scores were recorded after one minute and one month following the application of both agents. Descriptive statistics were calculated. Stratification was done to control confounder and post stratification chi-square test was also applied.

The statistically significant difference (p= 0.000) in effectiveness between the two groups was observed. The mean discomfort internal scale score at baseline, after 1minute and after 1month in Group A was 3.65 ± 0.60, 2.33 ± 0.64 and 0.41 ± 0.71 respectively, while in Group B, it was 3.55 ± 0.58, 2.40 ± 0.62 and 0.72 ± 0.92 respectively. UNC3866 Overall, 86.6% patients observed improvement in dentinal sensitivity in Group A while in Group B only 67.7% patients reported reduction in sensitivity.

Self-etch adhesive significantly reduces dentin hypersensitivity, immediately after one minute of its application and is effective for a period of one month compared to desensitizing agent.
Self-etch adhesive significantly reduces dentin hypersensitivity, immediately after one minute of its application and is effective for a period of one month compared to desensitizing agent.
Monogenic diabetes is a heterogeneous disease that causes functional problems in pancreatic beta cells and hyperglycemia. The aim of this study is to determine the clinical and laboratory features, the admission characteristics and distribution of monogenic form of diabetes in childhood.

Patients aged 0-18, who were molecularly diagnosed with monogenic diabetes, and accepted to participate in the study, were included in the study.

77 female and 92 male cases with a mean age of 8.18 ± 5.05 years at diagnosis were included. 52.7% of the cases were diagnosed with monogenic diabetes by random blood glucose measurement. The reason for genetic analysis in 95 (56.2%) of cases was having a family member diagnosed with diabetes under the age of 25. At the time of diagnosis, ketone was detected in urine in 16.6% of the cases. Mean HbA1c in admission; fasting blood glucose, fasting insulin, c-peptide values were 7.3 ± 2.1%, 184.9 ±128.9 mg / dl; 9.4 ± 22.9 IU / L; 1.36 ± 1.1 ngm / L; respectively. GCK-MODY was found in 100 (59.
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