The rapid pace of change in technology, business models, and work practices is causing ever-increasing strain on the global workforce. Companies in every industry need to train professionals with updated skill-sets in a rapid and continuous manner. However, traditional educational models — university classes and in-person degrees— are increasingly incompatible with the needs of professionals, the market, and society as a whole. New models of education require more flexible, granular and affordable alternatives. MIT is currently developing a new educational framework called Agile Continuous Education (ACE). ACE describes workforce level education offered in a flexible, cost-effective and time-efficient manner by combining individual, group, and real-life mentored learning through multiple traditional and emerging learning modalities. This paper introduces the ACE framework along with its different learning approaches and modalities (e.g. asynchronous and synchronous online courses, virtual synchronous bootcamps, and real-life mentored apprenticeships and internships) and presents the MIT Refugee Action Hub (ReACT) as an illustrative example. MIT ReACT is an institute-wide effort to develop global education programs for underserved communities, including refugees, displaced persons, migrants and economically disadvantaged populations, with the goal of promoting the learner’s social integration and formal inclusion into the job market. MIT ReACT’s core programs are the Certificate in Computer and Data Science (CDS) and the MicroMasters in Data, Economics and Development Policy, which consist of a combination of online courses, bootcamps, and global apprenticeships. Currently, MIT ReACT has regional presence in the Middle East and North Africa, East Africa, South America, Asia, Europe and North America.

Background: Multiple sclerosis is a progressive inflammatory disease of the the central nervous system. Problems with sexual functions are the common features of multiple sclerosis and important factor that contribute to the quality of life among affected persons. Objective: The aim of the study was to evaluate the influence of sociodemographic and clinical characteristics on sexual functions domains of health related quality of life (HRQOL) in multiple sclerosis patients. Methods: This study included 100 MS patients treated at the Department of Neurology, Clinical Center University of Sarajevo. Inclusion criteria were an Expanded Disability Status Scale score between 1.0 and 6.5, age between 18 and 65 years, stable disease on enrollment. HRQOL was evaluated by the Multiple Sclerosis Quality of Life-54 questionnaire. Mann-Whitney and Kruskal-Wallis test were used for comparisons between sociodemographic and clinical characteristics and HRQOL scores. Results: Out of 60% of patients reported to have sexual dysfunction, and 55 % were female patients. Younger patients had statistical significant higher median value of sexual function score (91.68 vs. 58,28, p=0.001) and satisfaction with sexual life scores (62.5 vs 37.5 , p =0.019) comparing to older patients. Employed patients also showed statistical significant higher median value of sexual function score (82 vs. 66.7, p=0.003) comparing to unemployed patients and also statisticaly significant higher median scores considering satisfaction with sexual life among employed patients (p=0,001). There were no differences in sexual functions scores considering gender, marital status and education. Patients with higher level of disabilty, progressive type of disease, more relapses and longer diseas duration had statistical significant lower median value of sexual function score and also satifaction with sexual life scores, except for disease duration Conclusion: Aging, dysability and progression are major factors that contribute to lower sexual function scores and satisfaction with sexual life among multiple sclerosis patients. Althoug women reported sexual problems more often then men, impact of these problems on quality of life are similar in men and women with MS.

HEDY - Life in the AI era is a 2-year Erasmus+ project started in November 2021 targeting higher education audience. Its goal is to offer a comprehensive and shared view of how Artificial Intelligence (AI) is affecting our lives and reshaping our socioeconomic, cultural, and human environments and to define which topics related to AI are of interest to different university studies and how they should be addressed. Four specific free and accessible sources of information will be produced to reach these goals, the first of which is the Booklet, the subject of this paper. The Booklet is an essay defining the HEDY position on life in the AI era and its aim is to identify the challenges, opportunities and expected impact of AI on four different areas: business, governance, skills & competencies, and people & lifestyle. In this paper, we summarise the content of the Booklet. In particular, we describe our methodology to build our rationales based on collecting information from two sources: i) Literature survey, and ii) Focus groups. These two sources provide a unique contribution on AI panorama by combining state of the art research with first-hand opinions and debated questions, concerns, and ideas of interacting individuals. The main finding is that there is the necessity to train citizens in AI by providing teachings, courses and trainings in schools and higher education institutes to facilitate the use and adoption of AI for young people and future generations.

High-voltage direct current (HVDC) circuit breaker development and deployment strongly depend on the testing process, which ensures that the HVDC circuit breakers will satisfy design requirements. This article presents an HVDC circuit breaker test bench circuit configuration that can provide controllable large output currents to simulate different fault conditions for the current breaking test and high output voltage for the dielectric withstand test. The current breaking test circuit is based on multiple cascaded power converters connected in parallel to provide the necessary output current capability. Each cascaded power converter is composed of multiple cells that are operated by a phase-shifted pulsewidth-modulated signal for greater controllability and higher quality of the output waveform. The dielectric withstand test circuit is a simple high-voltage source with a low power rating that can also be used to charge the test bench and the internal circuitry of the circuit breaker that is to be tested. The proposed test bench ensures that fault conditions can be replicated accurately and offers greater flexibility by being able to test mechanical, semiconductor-based, or hybrid HVDC circuit breakers with different current and voltage ratings on the same hardware without any changes. The idea and the operating principle of the proposed test bench are verified experimentally on a downscaled system that consists of three cascaded power converters connected in parallel with three cells per cascaded power converter and with a total equivalent switching frequency of 92.5 kHz.

Objective. To identify the type of the non-invasive ventilatory treatment for patients diagnosed with chronic obstructive pulmonary disease (COPD), with respiratory status deteriorated by COVID-19 pneumonia, and in need of treatment in the Intensive Care Unit (ICU). Materials and Methods. This cross-sectional study was conducted over a one-year period in the medical intensive care units of two hospitals. As the patients’ clinical condition deteriorated and the parameters of the arterial blood gas (ABG) analysis worsened, oxygen support was applied via a high flow nasal cannula (HFNC) or by non-invasive positive pressure ventilation (NPPV). According to the control values of the arterial oxygen saturation (SaO2) and the parameters of ABG, the patients were enabled to be transferred between the two types of non-invasive ventilatory support. The primary outcome was the length of hospital stay, while secondary outcomes were the rate of intubation, the mortality rate, and respiratory support-free days. Results. Out of 21 critical patients with COPD and COVID-19, 11 (52.4%) were initially treated with NPPV and 10 (47.6%) with HFNC. The ages (67±9.79 in NPPV group vs. 70.10±10.25 in HFNC group) and severity of illness (SOFA score 5 (3.5) in NPPV group vs. 5 (2.8) in HFNC group) were similar between the two groups. Switching the mode of respiratory support was more common in NPPV (58.3% in survivor group vs. 41.7% in non-survivor group). Patients treated with NPPV compared to HFNC had a nominally longer length of stay (15 (11) vs. 11.5 (4.25)), and higher risk of intubation (66.7% vs. 33.3%) and mortality (66.7% vs. 33.3%), but the comparisons did not reach statistical significance. Survivors had significantly longer Medical Intensive Care Unit and hospital stays, but significantly lower FiO2 (0.60 vs.1) and higher values of PaO2/FiO2 (78(32.4) vs. 56.3(17.8)) than non-survivors. All patients were treated with corticosteroids, and the duration of treatment was similar between groups. Conclusion. In critically ill patients with COPD and COVID-19, both HFNC and NPPV were commonly used as the initial mode of ventilation. Switching to a different mode and adverse patient outcomes were more frequent in patients initially treated with NPPV. Survivors had higher values of PaO2/FiO2 than non-survivors.

The integration of renewable generation in electrical power systems is exponentially increasing for multiple reasons. First, a fast decarbonization of the electrical energy system is a critical milestone to slow climate change and facilitate the decarbonization of other energy sectors, such as transportation and heat. Second, renewable generation from wind and solar have become much cheaper compared to conventional sources like gas, coal, and nuclear. Third, renewable generation is in many cases decentralized, which increases the resilience of the energy system, for example, in the face of natural disasters.

Reliable power system operation with 100% inverter-based resources (IBRs) is an unsolved and challenging problem. One of the most challenging factors is ensuring power system stability after N-1 contingencies. This paper presents a promising solution using an operator support system (OSS) to enable stable operation of power system with up to 100% IBR generation. The OSS consists of two components. First is dynamic security assessment to evaluate the system resiliency, and identify critical N-1 contingencies that could endanger the system. The second component, as the key technology behind the OSS, is dynamic security optimization (DSO). The DSO optimizes the control parameters of generators and inverters to improve the stability of the system towards the identified N-1 contingencies. The key to system with 100% IBRs, as emphasized in many recent studies, is to establish the grid frequency reference using grid-forming (GFM) inverters. We show through high-fidelity Electro-Magnetic-Transient (EMT) simulations of the future generation models of Hawai‘i Island system with 100% IBR capacity that a system with 100% IBRs can be operated stably with the help of GFM inverters, and appropriate controller parameters can be found by DSO for the inverters. The DSO is verified via 28 critical N-1 contingencies of Hawai‘i Island system identified by Hawaiian Electric. The simulation results verify the effectiveness of DSO, and show significant stability improvement from DSO.

Introduction Systemic corticosteroids are the mainstay of treatment for immune checkpoint inhibitor induced (CPI) colitis but are associated with complications including life-threatening infection. The topically acting oral corticosteroid beclomethasone dipropionate (BD) is an effective treatment for mild to moderate flares of ulcerative colitis, and has fewer side effects than systemic corticosteroids. We hypothesized that BD would be an effective treatment for CPI-induced colitis. Methods We performed a retrospective analysis of all patients who started BD for CPI-induced colitis at three UK cancer centers between November 2017 and October 2020. All patients underwent endoscopic assessment and biopsy. The initial regimen of BD was 5 mg once daily for 28 days. Data were collected from electronic patient records. Clinical outcomes were assessed at 28 days after initiation of treatment. Results Twenty-two patients (14 male) with a median age of 64 (range 45–84) with CPI-induced colitis were treated with BD. At baseline, the median number of loose stools in a 24-hour period was six (common terminology criteria for adverse events, CTCAE grade diarrhea=2). Thirteen patients (59%) were dependent on systemic corticosteroids prior to starting BD. Baseline sigmoidoscopy showed moderate inflammation (Mayo Endoscopic Score (MES) = 2) in two patients (9%), mild inflammation (MES=1) in nine patients (41%) and normal findings (MES=0) in eleven patients (50%). Twenty patients (91%) had histopathological features of inflammation. All 22 patients (100%) had a clinical response to BD and 21 (95%) achieved clinical remission with a return to baseline stool frequency (CTCAE diarrhea=0). Ten patients (45%) had symptomatic relapse on cessation of BD, half within 7 days of stopping. All patients recaptured response on restarting BD. No adverse events were reported in patients treated with BD. Conclusions Topical BD represents an appealing alternative option to systemic immunosuppressive treatments to treat colonic inflammation. In this study, BD was effective and safe at inducing remission in CPI-induced colitis, which was refractory to systemic corticosteroids. Further randomized studies are needed to confirm these findings and determine the optimum dosing regimen.

Abstract This scientific paper examines the relationship between macroeconomic variables whose performance is measured under the implementation of Quantitative Easing in the US, by estimating vector autoregression (VAR) and Impulse Response Function with monthly data from US Federal Reserve, observed during the period January 1994-January 2022. Variables include: Consumer Price Index (CPIAUCSL); Industrial Production (INDPRO); Unemployment Rate (UNRATE); Interest Rates, Government Securities, Government Bonds (INTGSBUSM193N); Volatility Index (VIXCLS), Real Broad Effective Exchange Rate (RBUSBIS), Federal Surplus or Deficit (MTSDS133FMS), Money Supply M1 (WM1NS), M2 (WMNS), M3 (MABMM301USM189S). An evidence on macroeconomic variables of Consumer Price Index and Industrial Production when evaluating the effectiveness of QE is provided.

Abstract Objectives: This study evaluates the effect of post-activation potentiation (PAP) after 5x5s maximal voluntary isometric contractions (activation stimulus, AS) on tensiomyography (TMG) and torque twitch contractile parameters of vastus lateralis (VL) and medialis (VM), respectively. Further, we validated the decomposition of TMG response to separate responses of three fiber types. Methods: 15 healthy individuals participated in this study (40% women; age 19±2.3 years). A decomposition of VL TMG response was done after optimal fitting of three exponential curves. Results: We found main effects in contraction time (Tc) for muscle, method and time. Furthermore, we found interactions between muscle*method, method*time and muscle*method*time. Compared to PRE AS, we found shorter TMG Tc in VL and VM during the first two minutes after AS. Torque Tc remained unchanged in VL, while it increased in VM within 30 seconds after AS. A decomposition of VL TMG response confirmed PAP effects being present only in decomposed type IIb muscle fibers. Conclusion: The TMG is a sensitive method to detect PAP effects with a sensor mounted directly above the muscle belly. After the decomposition of the TMG signal to three separate muscle fiber phenotypes, we provided a non-invasive insight in the contribution of each muscle fiber phenotype to the PAP of the whole muscle.

Introduction Menopause is the last physiological menstrual period and is a complex process involving the following: endocrine, genitourinary, cardiovascular, and locomotor system, and it leads to vasomotor symptoms and psychological complaints. This study aims to investigate the influence of smoking and body mass index (BMI) as risk factors on the age of onset of menopause in women in Bosnia and Herzegovina. Material and methods This study included 460 women in natural menopause. The study was conducted in 2 phases: interview and measurement of BMI. Each patient underwent an interview based on the questionnaire, following the verbal consent of the patient, who had previously been explained the nature of the research. Results The age at which menopause occurs increases with the BMI increase, and it can be described by the regression equation: age = 0.096 × BMI + 45.7, which has statistical significance. The mean age of menopause occurrence in current smokers was lower (47.5 ±0.4 years) than in non-smokers (48.8 ±0.2 years) (p = 0.010). Conclusions Our study confirmed the statistically significant correlation between smoking, BMI, and age of onset of menopause.

Currently, blockchain is one of the most innovative emerging digital technologies. As such, it can undermine traditional business models and revolutionize tax administration. This objective of this article is to present the potential of blockchain technology in the administration of specific tax categories such as payroll taxes, value added tax, international taxes, and customs. It also analyses blockchain technology’s strengths, weaknesses, opportunities, and threats (SWOT) with a focus on tax administration. As a generator of a substantial amount of information, tax administration requires reliable and efficient technology for processing and storing the information that is generated. The results of the analysis showed strengths such as a lower cost of fulfilling tax liabilities, a direct connection with taxpayers without the need of third parties. a higher degree of efficiency, and threats such as insufficient funds for modernization, knowledge and skills of employees, and willingness to adapt and high investment costs related to implementation. Moreover, it will modernize accounting and tax payments. Blockchain technology, digitalization, tax administration, SWOT analysis, digital economy, digital services, tax policy