A current-mode interface (CMI) with mixed single/dual slope integration (MSDSI) for differential capacitive sensors (DCSs) is presented in this article. The proposed design is based on the integration of the reference current flowing through the capacitors of the DCS. The integration of the capacitor of a smaller capacitance is performed with a dual slope. Contrary, the integration on the capacitor of a larger capacitance is performed with only one slope. The normalized differential capacitance (NDC) defined as the difference-to-sum ratio of the DCS capacitances is proportional to the duration of only one time interval which is digitized using the counting method. There is no need for postprocessing in the proposed NDC-to-time-to-digital conversion. It has been prototyped using discrete off-the-shelf components mounted on a printed circuit board, with a single supply voltage of 3.3 V. The measured NDC is in the range $|\text {NDC}| < 0.612$ , with the constant sum of DCS capacitances of 970 pF. Achieved full-scale error is smaller than 0.3%, with a range of conversion speed from 1770 to 2755 NDC-to-time-to-digital conversions per second.

An <italic>RC</italic> -to-digital converter (RCDC) for the measurement of the <italic>RC</italic> time constant of the resistor and capacitor connected in series is presented in this article. A simple RCDC design insensitive to parasitic capacitances is based on the single-slope integration. The output voltage of the integrator is linearly changed from half the value of the reference voltage to its final value. The <italic>RC</italic> time constant is equal to the duration of the single-slope integration and is independent of any other parameter. The proposed RCDC has been prototyped using discrete off-the-shelf components mounted on a printed circuit board, with a single supply voltage of 2.7 V. Measurements have been performed for 36 different combinations of the resistors and capacitors connected in series, where the measured time constant is in the range <inline-formula> <tex-math notation="LaTeX">$45.77 \mu \text{s} < $ </tex-math></inline-formula> <italic>RC</italic> < 2.32 ms, for three different reference voltages. The achieved relative error is smaller than 1.96% for the largest reference voltage used.

Economic supply shocks and fiscal expansion coupled with monetary expansion are suspected causes of the rise in inflation that we observe in most of the developed and developing economies today. In this paper we look at the effect of the government budget deficit(surplus) or fiscal policy stance, and quantitative easing on inflation while controlling for economic shocks using the method of cointegration as we find data series in our model to be integrated of order one and having support of one cointegrating equation between the variables. Our analysis is performed using Federal Reserve monthly data from 1994 to 2022 using Two-Step Engle-Granger (1987) method and Fully Modified OLS by Phillips and Hansen (1990). We compare these models to Auto Regressive Distributed Lag model of Pesaran and Shin (1998) which allows for analysis irrespective of the order of integration to provide for more robustness regarding the estimated relationships in cases of misspecification of stationary properties in our time series. Both cointegrating models lend support to the initial postulated relationship where expansionary fiscal policy has significant positive impact on the price level during the long run but also enhances the effect of the Quantitative Easing on the price level as the interaction term between these variables is significant, indicating that during the periods of expansionary fiscal policy, expansionary monetary policy through Quantitative easing has bigger effect. Our analysis is performed controlling for effect of economic shocks and price of real exchange rate on the price level. Stability of the cointegration model tests reveal presence of structural breaks which when included in the cointegrating equation change the importance of the impact that fiscal stance has on inflation and reveal that inflation is mainly result of the expansion in central bank assets after 2008, which coincides with period of unconventional monetary policy

: Free Space Optics (FSO) represent a promising technology for secure communications in several types of architectures: from Quantum Key Distribution Networks (QKDNs) to satellite communications. In this paper, in particular, we take into account terrestrial point-to-point laser communications and evaluate the performance in terms of Signal-to-Noise Ratio (SNR) and Bit Error Rate (BER), taking into account different scenarios, that can reflect real situations in which long distances can be reached in a secure way, guaranteeing an acceptable level of BER. So, after a huge campaign of simulations, we would like to let the scientific community know which are the theoretical limits that such kind of communications can reach. We take into account standard telescopes parameters (available today in the market), while configuring several real situations, in function of, for example, bit-rate, visibility, link distance, etc. A brief survey of the existing works is given, then a clearer performance evaluation of terrestrial FSO links is proposed.

: QKD integration into traditional telecommunication networks is anticipated in the upcoming decades in order to maintain adequate levels of communication security. QKD establishes ITS (Information-Theoretic secure) symmetric keys between the two parties, which they may use to sustain secure flow of data even in the post-quantum era. Since QKD-keys are a valuable and scarce resource, they must be carefully maintained. This paper investigates DoS attacks on actual QKD equipment, in which an adversary with access to QKD services depletes the reserves of QKD-keys maintained at the KMS system. As a result, safety precautions are proposed in order to prevent this scenario and maintain operational QKD service.

—Image registration plays a vital role in understanding changes that occur in 2D and 3D scientific imaging datasets. Registration involves finding a spatial transformation that aligns one image to another by optimizing relevant image similarity metrics. In this paper, we introduce itk-elastix , a user-friendly Python wrapping of the mature elastix registration toolbox. The open-source tool supports rigid, affine, and B-spline deformable registration, making it versatile for various imaging datasets. By utilizing the modular de-sign of itk-elastix , users can efficiently configure and compare different registration methods, and embed these in image analysis workflows.

Background: Globally, life expectancy is increasing, leading to an equal proportion of elderly and young individuals, which carries extensive implications. In Bosnia and Herzegovina (BiH), the average age at death in 2021 was 77 years, positioning BiH in the middle of the global list of average life expectancy. Current studiesinvestigate whether the prevalence of psychiatric disorders increases or decreases with age, but results are inconsistent regarding the role of age.There is no prior research on mental disorders in the elderly population in BiH. The experience of the previous war in BiH and the post-war complex “transitional period” have been associated with specific challenges to the mental health of this population, inspiring our research topic. Objective: The aim of this study was to investigate the psychiatric morbidity in hospitalized individuals aged≥55 years. Methods: The sample consisted of all patients over age 55 treated at the Department of Psychiatry in Tuzla between January 2018 and December 2020 (N=637), divided into four age categories. Data were obtained from medical records, and for research purposes, a specific questionnaire was constructed. Results: The predominant psychiatric morbidity stemmed from the category of affective disorders, most common within the “55-64 years” age group, while organic mental disorders were more prevalent in other age groups.Substance use disorders were present in patients aged “55-64 years”, with a sharp decline in their prevalence in older age. Female participants had a significantly higher prevalence of affective, psychotic, neurotic, and stress-related disorders, whereas male participants exhibited an increased prevalence of organic mental and substance use disorders. Conclusion: In total sample, the most prevalent diagnoses belong to the category of affective disorders. Female were most frequently diagnosed with affective disorders, whereas organic mental disorders and substance use disorders prevail in male.

Interaction channels are special opportunities to improve customer satisfaction by offering a consistent problem-solving experience. Contact center employees are the link between the company and the customer. They are responsible for maintaining an appropriate relationship between the company and the customer. So, they are personally responsible for the customer experience. In this paper, we present an objective evaluation method for evaluating customer-agent interaction, i.e., evaluating the effectiveness of the realization of customer requests from calls. The evaluation method is automatic and does not depend on the relationship between the call center manager and the employees. The motivation for evaluating calls stems from the key performance characteristics of a contact center, of which we particularly emphasize service time, first call resolution, handling time, and others.

Background: Metabolic syndrome (MetS) denotes a cluster of co-occurring medical conditions associated with regulating hyperglycemia and acute cardiovascular events and complications. The escalating frequency of MetS among individuals afflicted with type 2 diabetes mellitus (T2DM) underscores its burgeoning significance as a critical public health concern and a complex clinical conundrum. Timely identification is imperative to avert the expedited progression of diabetic complications. Objective: To investigate the role of CRP/HDL-C and Monocyte/HDL ratios in predicting MetS in T2DM individuals. Methods: The study was designed as a two-year prospective study and included 80 T2DM patients divided into MetS and non-MetS groups based on MetS development over two years. The patients’ serums were analyzed for complete blood count parameters, lipid profile, and C-reactive protein (CRP). Based on the laboratory test results, Monocyte/HDL-C and CRP/HDL-C ratios were calculated and analyzed. The receiver operating characteristic (ROC) curve and their corresponding areas under the curve (AUC) were used to determine prognostic accuracy. Results: Monocyte/HDL-C ratio and CRP/HDL-C ratio were significantly higher in MetS-T2DM2 than in nonMetS-T2DM (p=0.003 and p=0.029, respectively). The results of ROC curve analysis have shown that the CRP/HDL-C ratio (AUC of 0.695) and Monocytes/HDL-C ratio (AUC of 0.645) can serve as good predictors of MetS in T2DM patients. Conclusion: This study confirms the reliability of the Monocytes/HDL-C and CRP/HDL-C ratios as novel, simple, low-cost, and valuable predictors of MetS development in T2DM.