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In the late of 2019, there is an outbreak of novel coronavirus disease (COVID-19) in Wuhan, China. The patients appear respiratory symptoms, fever, and cough, shortness of breath and breathing difficulties. In more severe cases, infection can cause pneumonia, severe acute respiratory syndrome, kidney failure and even death. A novel coronavirus (nCoV) is a new strain that has not been previously identified in humans and is transmitted mostly via droplets or contact. People of all ages are susceptible to the virus. Up to the middle of February 2020, the number of infected persons in China is over 65,000. The case fatality rate was 2.38%, and elderly men with underlying diseases were at a higher risk of death [1].

The utilization of the Internet and wireless communication reaches its pinnacle from one side of the planet to the other. Marking the rise of criminal activity in recent years sees enormous growth in security breaches and data theft-related cases in mobile phones. To mitigate them, the implementation of security patches, safety fixes, and updates in mobile devices is of high priority for the organization. The need to foster techniques and procedures in the field to be able to extract and precisely dissect digital crime cases, providing valuable tactical data about the investigation. Mobile forensics is a developing branch assisting the investigator in criminal trials and investigations. Acquisition, Collection, and Analysis of mobile phones settle the purpose of recovering cumulative and corroborative evidence. Upgradation and innovation of mobile devices with time imposed a challenge to mobile forensic technology to extract information from such devices. The study aims at extracting comparative and statistical approaches in the analysis of Physical data acquisition utilizing significant versatile mobile criminological proprietary tools. The proposed study also introduces newly developed utility tools along with their characteristic features which help in successful data extraction from mobile devices.

The Transcatheter Aortic Valve Implantation (TAVI) had emerged more and more in the last twenty years. According to the scientific literature, this is an approved, suitable and alternative therapeutic choice to conventional surgery for aortic valve disease in high risk patients. The most of patients are octogenarians or nonagenarians, with multiple comorbidities (neurological,vascular,oncologic, haematological, etc). The evolution of TAVI techniques and its devices have improved the quality of results and reduced the peri- and post-procedural complications. Cardiac anaesthesia and analgesia in TAVI patients is very important and fundamental to a quickly and complete clinical restoring after the procedure. An optimal balance of drugs and peri-procedural management could reduce the neurological events (such as delirium), the days of hospitalization and the admission of intensive care unit. According to our experience in transapical approach, the low dose of propofol and desflurane allowed to optimal cardiac anaesthesia and rapid mechanical ventilation weaning in complex patient undergone to transcatheter valve implantation with transapical approach. Moreover, our protocol reduced considerably the incidence of perioperative delirium.

This study aimed to investigate the treatment effects of ZnO NPs plus thiamine on histo-stereological and biochemical parameters in diabetic mouse skin. In total 54 BALB/C mice were used and divided into nine groups. Twenty-four mice were coordinately assigned as control groups (I), thiamine (II), and zinc oxide nanoparticles (III and IV; 1.0 and 5.0 mg/kg). Diabetes was induced in the remaining rats with a dose of 180 mg/kg of alloxan; diabetes group (group V). Other diabetic mice were treated with ZnO NPs (0.1 and 0.5 mg/kg) alone (groups VI and VII, respectively) and along with thiamine (groups VIII and IX, respectively). An increase in weight was observed in the diabetic group compared to the control group. Diabetic skin showed decreasing in volume density of collagen bundles and decreasing in the epidermis and dermis thickness, as well as an increase in the hypodermis's thickness. Administration of ZnO NPs (0.1 and 0.5 mg/kg) alone and along with thiamine in the diabetic animals resulted in anti-hyperglycemic activity, reducing GGT, BUN, Cr, MDA, and NO levels in treated diabetic mice. In conclusion, the concomitant use of ZnO NPs along with thiamine presents the potential as a combination therapy for the treatment of alloxan-induced diabetic mice skin changes.

Purpose: To evaluate the levels of salusin-beta (β-SAL) in the serum in patients with age-related macular degeneration (ARMD). Methods: Our study was designed as a controlled comparative clinical study. The β-SAL levels in serums of age and sex-matched 20 healthy volunteers as controls (Group 1), 20 patients with dry-age related macular degeneration (d-ARMD) (Group 2) and 20 patients with wet-age related macular degeneration (w-ARMD) (Group 3) were measured with the enzyme-linked immunosorbent assay (ELISA) method. Results: In our study, it was found that age and gender didn’t show a statistically significant difference among the study groups (p > 0. 05). The mean serum β-SAL levels in Group 1, Group 2 and Group 3 were 1372,17 ± 1126.69 pg/mL; 1423,71 ± 1196.84 pg/mL and 940,57 ± 1092.05 pg/mL, respectively. Although the meanβ-SAL levels in w-ARMD seem numerically lower than both the control and d-ARMD groups, this difference among the study groups was not statistically significant (p > 0.05). Conclusion: Our study suggests that β-SAL levels in the patients with ARMD and healthy controls were not different than each other. Further studies with large numbers may reveal possible relationships between β-SAL and ARMD.

Objective: Assessment of heart rate variability (HRV) is a non-invasive and reliable method to evaluate autonomic disorders after cerebral ischemia. The present study was conducted to investigate the therapeutic potential of IC87201 in reducing post-stroke cardiac dysfunction. Materials and methods: Cerebral ischemia was induced by the middle cerebral artery occlusion (MCAO) method in 15 anesthetized adult male rats in three MCAO, MCAO+ DXM, and MCAO+ IC87201 groups, for one hour. Electrocardiogram was recorded before, and 48 hours after ischemia and drug administration, and HRV parameters were calculated from R-R intervals. In the treatment groups, IC87201 and Dextromethorphan hydrobromide monohydrate (DXM) were injected after an ischemic period. Results: After brain ischemia, the R-R interval decreased and consequently heart rate increased. The R-R intervals were used to extract the HRV frequency and time domains, including normalized low frequency (LF), high frequency (HF), LF/HF ratio, and standard deviation of R-R interval (SDRR). Normalized LF and LF/HF ratio enhanced 48 hours after ischemia, while normalized HF and SDRR significantly reduced compared to the pre-ischemic state. All HRV parameters had returned to their pre-ischemic level 48 hours after IC87201 and DXM administration, except SDRR, which recovered only in the IC87201 administered group. Conclusion: Based on our findings, it can be concluded that cerebral ischemia significantly worsens HRV parameters as a result of sympathetic overactivity. These changes were reversed by administering DXM and IC87201, but IC87201 has generally been more effective in lowering lesions. As a result, IC87201 can be introduced as an effective substance for the treatment of post-ischemic cardiac side effects.

Periacetabular Osteotomy (PAO) is the gold standard for the treatment of hip dysplasia or acetabular retroversion. Due to the proximity of intra-pelvic arteries, there is a risk of iatrogenic vascular injuries, which can present with a delay and should be part of the differential diagnosis of significant pain following a PAO. We present the case of a never-described vascular injury following a periacetabular osteotomy in a 25-year-old woman who presented with gluteal pain 3 weeks after surgery. A delayed diagnosis of a pseudoaneurysm of the superior gluteal artery was made and successfully treated by embolization. The lesion is most probably related to the tip of a screw or to the drilling process.

Currently brain connectivity modelling, constructed from data acquired by non-invasive technique such as functional magnetic resonance imaging (fMRI), is a well-received approach to illustrate brain function. However, not all connectivity models contains equal amount of information. There are two types of connectivity model that could be constructed from fMRI data, functional and effective connectivity. Effective connectivity includes information about the direction of the connection, while functional connectivity does not. This makes interpretation of effective connectivity more meaningful than functional connectivity. The objective of this study is to show the improvement in interpretability of effective connectivity model in comparison to functional connectivity model. In this study, we show how the difference in the information contained within these two model impacts the interpretation of the resulting connectivity model by analyzing resting-state fMRI data on episodic memory-related cognitive function using CONN Toolbox bivariate correlation measurement for functional connectivity analysis and Tigramite causal discovery framework for effective connectivity analysis on an episodic memory related resting-state fMRI dataset. The comparison between functional and effective connectivity results show that effective connectivity contains more information than the functional connectivity, and the difference in the information contained within these two types of model could significantly impact the intepretation of true brain function. In conclusion, we show that for the connectivity between specific pair of brain regions, effective connectivity analysis reveals more informative characteristic of the connectivity in comparison to functional connectivity where the depicted connectivity lack any additional characteristic information such as the direction of the connection or whether it is a unidirectional or bidirectional. These additional information improve interpretability of brain connectivity study. Thus, we would like to emphasis the important of brain function study using effective connectivity modelling to obtain valid interpretation of true brain function as currently a large body of research in this field focuses only on functional connectivity model.

Eye donation and eye banking are a boon in eye health care services for visual rehabilitation and corneal tattooing aesthetic purpose in post-trauma corneal opacities.A young female reported to our hospital with a complaint of corneal opacity and difficulty in closing her left eye. On examination, she was diagnosed with a “Corneal scar with an Inadvertent bleb”. The patient reported a history of corneoscleral injury for more than four years. A slit lamp examination showed a corneal scar with a micro leak at the inferotemporal scleral region.

The effect of the novel coronavirus (SARS-CoV-2) pandemic has produced significant health concerns negatively impacting individuals. As the ongoing and constantly changing nature of SARS-CoV-2 continues, the unique characteristics of this pandemic trend toward anxiety and loneliness as significant behavioral health outcomes. Furthermore, the SARS-CoV-2 pandemic has significantly impacted the utilization of social media platforms such as Twitter. Utilizing over 1.6 million tweets from approximately 988,760 Twitter users geolocated in Washington state from the University of Pennsylvania’s publicly available Twitter database (from March 2020 to March 2021), this study evaluated the impact of SARS-CoV-2 by using expressions of loneliness and anxiety to predict mental and physical symptoms. Bivariate correlations revealed expressions of loneliness were correlated to trouble breathing while expressions of anxiety were correlated to skin lesions, body aches, flu-like, seasonal cold, trouble breathing, nausea or diarrhea, fever, chills, and cough. Multiple multivariate linear regressions were completed, and a significant regression equation was found in predicting trouble breathing symptoms on expressions of loneliness and anxiety, however, the proportion of variance was 8% of the observed variation in the model. Further implications revealed the importance of understanding mental and physical well-being during a public health crisis as well as the use of social media platforms as primary and supplementary stimuli.