ROMANIA'S REAL CONVERGENCE TO THE EUROPEAN UNION Dragos Mihai Ungureanu , Permanent Representation of Romania to the European Union Ruxandra Dana Vilag, Romanian-American University Bucharest George Horia Ionescu, Romanian-American University Bucharest Florian Bogdan Stoian, “Lucian Blaga†University of Sibiu

In the process of European integration, switching in 1999 to the third stageof Economic and Monetary Union, has intensified the need to coordinate economic andsectoral policies of the Member States. The process of coordination is necessary toharmonize national economic policy objectives in order to minimize the negative impactof economic policy measures taken by some member countries to other member countriesand reduce the temptation for Member States to have behavior riders. Real Convergenceis an essential goal of Romanian integration into the European Union. Attenuation of thedevelopment gaps maintained between Romania and the EU can not be achieved solelythrough the use of market forces. Economic transformations occurring globally andincreased risk aversion contributed to a signifiant reduction of capital flows to Romania,increased pressures upon exchange rate.Real convergence, nominal convergence, integration, European Union

FINANCIAL CONTAGION AND INVESTORS BEHAVIOR

International capital markets, in general, seem to be volatile markets, influenced bymany factors, a phenomenon that affects both developed markets, as well as least developed, withemerging market economies suffering most because of this. It is clear, however, that volatility willremain for as long as it is delayed the adoption of specific measures at national and internationalfinancial architecture level, measures that may be necessary to reduce these risks, to limit theirimpact, and that the question financial market can relapse in a manner as efficiently as possible.investor behaviour, financial crisis, rational investor, irational investor, financial contagion

ASSESING THE IMPLEMENTATION OF REAL CONVERGENCE IN ROMANIA

The convergence is an essential objective of the integration process of Romania in the European Union. Minimizing gaps in the level of development that arise between Romania and the average European Union can not be achieved solely through the use of marconvergence, European Union, real convergence

Influence of GSTM1, GSTT1 and GSTP1 gene polymorphisms on the appearance of microalbuminuria in type 2 diabetes mellitus patients

[Section: Letter to the Editor] This work was funded by an internal research grant from The University of Medicine and Pharmacy from of Târgu Mures, number 649/14.01.2016

Ultra-short pulse HiPIMS: a strategy to suppress arcing during reactive deposition of SiO2 thin films with enhanced mechanical and optical properties

In this contribution, based on the detailed understanding of the processes’ characteristics during reactive high-power impulse magnetron sputtering (HiPIMS), we demonstrated the deposition of silicon oxide (SiO2) thin films with improved optical and mechanical performances. A strategy for stabilizing the arc-free HiPIMS of Si target in the presence of oxygen was investigated. Arcing was suppressed by suitable pulse configurations, ensuring good process stability without using any feedback control system. It was found that arcing can be significantly alleviated when ultra-short HiPIMS pulses are applied on the target. The optical and mechanical properties of SiO2 coatings deposited at various pulsing configurations were analyzed. The coatings prepared by ultra-short pulse HiPIMS exhibited better optical and mechanical performance compared to the coatings prepared by long pulse HiPIMS. The optimized SiO2 coatings on quartz substrates exhibited an average transmittance of 98.5% in the 190–1100-nm wavelength range, hardness of 9.27 GPa, hardness/Young’s modulus ratio of 0.138, and critical adhesion load of 14.8 N. The optical and mechanical properties are correlated with the film morphology, which is inherently related to energetic conditions and process stability during film growth.D. Cristea acknowledges the structural funds’ project PRO-DD (POS-CCE, O.2.2.1., ID123, SMIS 2637,ctr. no 11/2009) for providing the CSM Instruments infrastructure used for this wo

Infected pancreatic necrosis: outcomes and clinical predictors of mortality. A post hoc analysis of the MANCTRA-1 international study

: The identification of high-risk patients in the early stages of infected pancreatic necrosis (IPN) is critical, because it could help the clinicians to adopt more effective management strategies. We conducted a post hoc analysis of the MANCTRA-1 international study to assess the association between clinical risk factors and mortality among adult patients with IPN. Univariable and multivariable logistic regression models were used to identify prognostic factors of mortality. We identified 247 consecutive patients with IPN hospitalised between January 2019 and December 2020. History of uncontrolled arterial hypertension (p = 0.032; 95% CI 1.135-15.882; aOR 4.245), qSOFA (p = 0.005; 95% CI 1.359-5.879; aOR 2.828), renal failure (p = 0.022; 95% CI 1.138-5.442; aOR 2.489), and haemodynamic failure (p = 0.018; 95% CI 1.184-5.978; aOR 2.661), were identified as independent predictors of mortality in IPN patients. Cholangitis (p = 0.003; 95% CI 1.598-9.930; aOR 3.983), abdominal compartment syndrome (p = 0.032; 95% CI 1.090-6.967; aOR 2.735), and gastrointestinal/intra-abdominal bleeding (p = 0.009; 95% CI 1.286-5.712; aOR 2.710) were independently associated with the risk of mortality. Upfront open surgical necrosectomy was strongly associated with the risk of mortality (p < 0.001; 95% CI 1.912-7.442; aOR 3.772), whereas endoscopic drainage of pancreatic necrosis (p = 0.018; 95% CI 0.138-0.834; aOR 0.339) and enteral nutrition (p = 0.003; 95% CI 0.143-0.716; aOR 0.320) were found as protective factors. Organ failure, acute cholangitis, and upfront open surgical necrosectomy were the most significant predictors of mortality. Our study confirmed that, even in a subgroup of particularly ill patients such as those with IPN, upfront open surgery should be avoided as much as possible. Study protocol registered in ClinicalTrials.Gov (I.D. Number NCT04747990)

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Efficient Memory Encryption for Neural Network Accelerators

The widespread integration of machine learning (ML) in edge and mobile devices, particularly in critical contexts like autonomous vehicles, highlights the need for robust security. However, ensuring data confidentiality and preserving inference integrity is costly due to the mismatch between traditional security methods and ML demands. This thesis proposes an innovative ML-specific security solution, focusing on a neural network accelerator-enhanced field-programmable gate array (FPGA) developed with a partner company. Using industry-ready cores we have designed a Secure Gateway architecture that takes advantage of the inherent memory access patterns to provide basic security at a much lower cost than the general methods could. The Secure Gateway is placed between the DRAM and the main CPU with the attached accelerator. While there still are some scenarios where limitations appear we showed that security can be implemented based solely on security primitives

Efficient Memory Encryption for Neural Network Accelerators

The widespread integration of machine learning (ML) in edge and mobile devices, particularly in critical contexts like autonomous vehicles, highlights the need for robust security. However, ensuring data confidentiality and preserving inference integrity is costly due to the mismatch between traditional security methods and ML demands. This thesis proposes an innovative ML-specific security solution, focusing on a neural network accelerator-enhanced field-programmable gate array (FPGA) developed with a partner company. Using industry-ready cores we have designed a Secure Gateway architecture that takes advantage of the inherent memory access patterns to provide basic security at a much lower cost than the general methods could. The Secure Gateway is placed between the DRAM and the main CPU with the attached accelerator. While there still are some scenarios where limitations appear we showed that security can be implemented based solely on security primitives

COVID-19 Pandemic and Its Effects on the Usage of Information Technologies in the Construction Industry: The Case of Romania

The COVID-19 pandemic has made the world face a whole new reality, and the measures taken for slowing the spread of the disease included social distancing, as well as national, regional, or local lockdowns and restrictions regarding the movement of people. For such an important sector of the Romanian economy as the construction industry, the restrictive measures imposed by the authorities led to postponing, delaying, or stopping the current projects. This paper aims at investigating the main effects of the COVID-19 pandemic on the Romanian construction sector, as well as the role of the digitalization process in mitigating the negative impact on the companies activating in this domain, in the context of the current levels of use of information technologies. The research involved the use of qualitative (exploratory in-depth interviews) and quantitative (online surveys applied to members of the local building sector, such as engineers, architects, contractors, and managers) data collection methods, respectively descriptive statistics for data categorization and interpretation. In general, the Romanian construction sector was only slightly affected, with the most significant negative effects being the delays and cost overrun due to safety and health issues. This paper is one of the first studies to explore and assess the effects of COVID-19 on the Romanian construction industry and the role of digitalization in reducing the pandemic impact. The main findings reveal that the companies in this industry that have a high digitalization degree overpassed in a smoother manner the current pandemic situation