Cost-effective Measures Research Articles

Characteristics of adolescents with acute alcohol intoxication in Belgium

Abstract Background Binge drinking and acute alcohol intoxication (AAI) are common in Belgian adolescents, posing a risk of serious health consequences. To develop cost-effective preventive measures for problematic alcohol use in adolescents in Belgium, more insight into the background of this group is necessary. Methods To gain more insight into the prevalence, medical characteristics and context of AAI, a retrospective multicentre hospital chart study was performed on adolescents aged 10 to 18 years with AAI in Antwerp, Belgium from 2015-2021. Furthermore, a prospective intervention study for adolescents with AAI in Antwerp was set up in 2023, of which the first results were not yet known at the time of submission. However, these results will be presented at the conference, if available. Results Over the study period, a total of 1032 admissions related to alcohol intoxication occurred in 1016 patients, with a median age of 16.6 years old and a median blood alcohol intoxication (BAC) of 1.95 g/L. There was combined drug use in 10% of the cases. Only 17% of the patients received additional care after admission. These findings did not significantly change over the study period. Multiple linear regression analyses indicated that after correcting for covariates, higher age, no combined drug use and decreased consciousness at admission were associated with more severe AAI cases (higher BAC). Conclusions AAI is prevalent among Belgian adolescents. Therefore, better-targeted preventive measures and policies are needed. Our findings could be taken into account when developing preventive measures. However, data addressing the demographics and context of AAI were mostly missing. Therefore, a prospective follow-up study was set up in Antwerp, which started in 2023 and is still ongoing. Furthermore, this study will investigate the feasibility and effectiveness of a follow-up intervention for this group of patients.

A higher adherence to perindopril-based anti-hypertensive therapy is associated with a reduced risk of cardiovascular outcomes and all-cause mortality in real clinical practice in Italy

Abstract Background Therapeutic management of hypertension is a landmark of cardiovascular (CV) risk prevention. Combined therapies with at least 2 anti-hypertensive agents are required in many patients in whom monotherapy and lifestyle interventions failed in blood pressure control. It is well-known that poor medication adherence remains a major barrier to achieving the therapeutic targets for all CV drugs, including anti-hypertensives. Purpose We evaluated the relationship between adherence to perindopril (PER)-based therapeutic regimen prescribed as single-pill combination (SPC) or free-pill and CV outcomes and all-cause mortality in a large Italian population. Methods A retrospective analysis was performed using administrative databases corresponding to around 6.7 million health-assisted residents. Hypertensive adults were first identified through hospitalization discharge diagnosis or exemption codes for hypertension between 2010 and 2021. Patients prescribed PER-based therapies were screened for all combinations of PER with amlodipine (AML) and/or indapamide (IND) (all formulations, single-pill or free-pill). Time of the first prescription of a PER-based regimen during the inclusion period was considered the index-date. The analysis included all hypertensive subjects prescribed a PER-based therapy, having available data at least 12 months before and 24 months after the index-date, respectively. Since the analysis was focused on the possible associations between adherence level and CV outcomes and all-cause mortality, adherence was assessed during the first year of follow-up on alive patients and outcomes were assessed during the second year. Adherence was assessed using the proportion of days covered (PDC) approach on 1-year follow-up, and considering a PDC<80% as poor-to-moderate adherence, and PDC ≥80% as good adherence. The Cox’s proportional hazard model was applied to estimate Hazard Ratio (HR) adjusting for baseline covariates, including comorbidity profile and pill burden. Results The included cohort (N=24,476) was divided into sub-groups according to adherence in poor-to-moderate (N=6,781) and good adherent patients (N=17,695) with a mean age of 64.8±13.3 and 64.6±11.9 years old, respectively. The Cox’s proportional hazard model showed that good adherence was associated with a relative risk reduction of 23% in all-cause mortality (Table 1A), 21% in all CV events (Table 1B), 17% in ischemic heart disease (Table 1C), 33% in cerebrovascular events (Table 1E), and 22% in the composite outcome of CV events/all-cause mortality (Table 1G). Conclusions The present analysis provided evidence from the Italian real clinical practice that good adherence to PER-based anti-hypertensive therapy results in significantly lower cardiovascular risk and all-cause mortality. These data further emphasize the importance of promoting cost-effective measures to increase medication adherence in patients on anti-hypertensive treatment.

The nexus between maternal antenatal care attendance, newborn postnatal care and neonatal mortality in India: a matched case-control study

IntroductionOur study examines the relationship between newborn postnatal care and neonatal mortality stratified by maternal antenatal care attendance under a matched case-control framework.MethodsData from the fifth round of the National Family Health Survey was used. A total of 172,079 recent births to eligible women (15–49 years) in five years preceding the survey were included in the study. We used the conditional logistic regression model, a commonly used regression model to fit matched case-control data to examine the effects of newborn postnatal care on neonatal mortality. The mother’s age at birth of the newborn, previous birth intervals, birth order of the newborn, and birthsize of the newborn were included as the matching variables.ResultsNewborns receiving postnatal care within two days or more than two days of birth are less likely to die during the neonatal period. Preferences for newborn postnatal care were also observed to increase with more maternal antenatal care visits. Our study also found a lower risk of neonatal mortality among those newborns whose umbilical cord was examined within two days of birth, regardless of the number of maternal antenatal care visits. Similarly, the risk of newborn deaths was lower among babies whose body temperature was measured within two days of birth. The tendency to breastfeed their newborns within an hour after delivery was considerably higher among those births that occurred to mothers who had a higher number of maternal antenatal care visits. The risk of newborn deaths was also observed to be lower among those born in public or private healthcare facilities.ConclusionConsidering the cohesive nature of the relationship between neonatal mortality and maternal and child healthcare utilisation, strategic planning and management of the existing policies and programmes related to accessibility, availability, and affordability of maternal and child healthcare services is needed to achieve goal 3.2 of the Sustainable Development Goals. Promoting cost-effective measures such as continuous monitoring of the baby’s body temperature and umbilical cord care could also effectively help reduce neonatal mortality.

Optimization of struvite from sewage sludge ash as phosphorus source.

Phosphorus is an essential macronutrient for crop production. Struvite precipitation and reuse from phosphorus-rich sewage sludge are cost-effective measures to improve phosphorus utilization efficiency and decrease its negative environmental impact. In this study, the objectives were to optimize the phosphorus extraction (using sulfuric acid) and recovery (as struvite) processes and determine the most appropriate process conditions using RSM. This was done by evaluating the effect of different parameters such as acid concentration (mol/l) (0.02 to 0.8), H2SO4/ISSA ratio (liquid/solid) (20 to 150ml/g), and time (0.5 to 4h) for leaching tests and N: P ratio (1 to 2), Mg: P ratio (1 to 2), and pH (8 to 11) for struvite precipitation. The optimization of the factors affecting PO43--P extraction from SSA by acidic leaching showed that applying 0.5mol/l H2SO4 and 57ml/g L/S ratio at 2h achieved the highest PO43--P extraction (99.8%). The extraction of phosphorus also leached heavy metals; however, using a cation exchange resin, it was possible to effectively remove heavy metals from P-rich solutions. The optimal phosphorus recovery as struvite (98.5%) was achieved at the lowest pH and N/P ratio, while an increase in Mg/P ratio from 1 to 2 positively affected phosphorus recovery. The obtained struvite had a high content 94.6%, and the heavy metal content in struvite was lower than the value of standard, so that the obtained struvite sample can be used as fertilizer.

Development, characterization and evaluation of in vitro safety and in vivo efficacy of repellent gel formulations

Contagious diseases caused by mosquito bites are responsible for epidemic outbreaks around the world. Applying mosquito repellents is the main and most cost-effective prophylactic measure to reduce the transmission risk of arboviruses. In this study, two topical gel Formulations were developed as mosquito repellents which use two different systems to release 20 % Icaridin. The first, Formulation 1b uses Pluronic F127®, and the second, Formulation 2b uses a biopolymer produced by bacteria from the Rhizobium tropici species. The repellent Formulations developed showed non-Newtonian behavior. For Formulation 1b the viscosity increased after adding Icaridin. However, for Formulation 2b, there was no increase in viscosity after adding the active substance. The thixotropy analysis showed that the Formulations have good recovery of their structure and adhesion. Adding of Icaridin led to an increase in gel strength in Formulation 1b and did not change the gel strength for Formulation 2b. The Formulations presented very similar occlusion capacities which were all higher than free Icaridin. The Formulations were not cytotoxic in the concentration range between 0.04 % and 0.3 %. In addition, at the 0.62 % concentration, they showed a slight reduction in cell viability, although the LD50 value was not reached. The mean protection time was longer for Formulation 2b compared to Formulation 1b. Both Formulations had a longer mean protection time than free Icaridin against Aedes aegypti. The combination of Icaridin with Pluronic F127® and the biopolymer is an innovation in the pharmaceutical area.

Correlation between the accuracy of the emergency response centre’s urgency assessment and emergency medical services non-conveyance: a retrospective register-based study in Finland

BackgroundIn modern emergency medical services (EMS), ambulances increasingly focus on examining and treating the patient at the scene. This has led to increased levels of non-conveyance. In Finland, for instance, approximately 40% of EMS dispatches end up in non-conveyance. As EMS systems evolve, the proportion of non-conveyance could serve as a cost-effective measure to assess the quality of the dispatch criteria, if a link to the performance of urgency assessment would be established. The purpose of this study was to investigate whether the proportion of non-conveyance is associated with the test performance levels of the urgency assessment. This investigation was done separately within each dispatch category.MethodsA retrospective evaluation of the data was conducted on all EMS dispatches in the Pirkanmaa Hospital District from 1 August 2021 through 31 August 2021. There were a total of 7,245 EMS dispatches during the study period of which 829 were excluded. This study was conducted by comparing the existing test performance levels (sensitivity, specificity and under- or overestimation) of the emergency response centre’s urgency assessment with the non-conveyance rate (%) of each dispatch category. The relationships between the variables were measured using Spearman’s rank correlation coefficient.ResultsThe proportion of over-triage was the only urgency assessment’s test performance variable that had a statistically significant correlation with the proportion of non-conveyance (r = 0.568; p = 0.003). Other test performance variables of the urgency assessment had no or little correlation to the proportion of non-conveyance. Of the 6,416 EMS dispatches in the study period, 42% (2,672) resulted in non-conveyance of the patient. In nine dispatch categories, at least half (51–69%) of the dispatches ended in non-conveyance.ConclusionsBased on this study, it seems that the percentage of non-conveyance in the dispatch category could be used, with certain limitations, to assess the proportion of over-triage in the dispatch category. The method is particularly applicable in scenarios where the dispatch criteria have undergone modifications and there is a need to monitor the effect of the changes on the level of over-triage.

Evaluation of balloon sinuplasty for the treatment of pediatric chronic rhinosinusitis.

This year marks 10 years from the publication of the clinical consensus statement on pediatric chronic rhinosinusitis (CRS). Balloon sinuplasty did not meet criteria for consensus at that time because there was insufficient evidence on its efficacy and safety. The purpose of this review is to summarize the current evidence on balloon sinuplasty treatment for pediatric CRS. Balloon sinuplasty is not a cost-effective measure compared to adenoidectomy and endoscopic sinus surgery (ESS). In the pediatric population, benefits include short operative time, reduced tissue manipulation, and potential for decreased antibiotic courses. Alternatively, balloon dilation has increased equipment costs and there is a lack of robust prospective data that fully elucidates balloon sinuplasty's role in the management of pediatric CRS. Pediatric otolaryngologists should continue to perform first-line adenoidectomy and consider ESS based on imaging and other validated clinical scoring systems. Balloon sinuplasty has not yet been proven as an effective treatment for pediatric CRS and further large-scale investigations are required to overcome its lack of cost-effectiveness.

A novel measurement for evaluating the capture efficiency of local ventilation system using background oriented schlieren

In-situ measurement of the capture efficiency of local ventilation systems (CELV) is a challenge in field of indoor air quality control. This study introduced a novel method for assessing the capture efficiency using background oriented schlieren (BOS). A 1:4 model experimental platform was constructed to investigate the feasibility. The CELV was compared using both the BOS and the tracer gas method, and the optimization of BOS device parameters for better CELV results was investigated. The results showed that the CCD camera-BOS could detect thermal airflows with a temperature difference over 40 K. The best post-processing algorithm for CELV by BOS, which was combined density gradient variation-rate and gray-scale method (CE-DGR&GS), was closely matched the results of the tracer gas method (CE-SF6), with a correlation of 0.97. When the capture efficiency exceeded 90%, the deviation between the two methods was less than 10%. However, when the ventilation system captured poorly, the CELV by CE-DGR&GS was over-estimated. Higher NR of BOS image causes large deviation of the calculated capture efficiency, and CELV by BOS under the same flow can differ by as much as 40 % by various cameras. A high-pixel CCD camera with a long focal length lens (f ≥ 35 mm, ISO≤100, f# = 16) was recommended. The interrogation window size for cross-correlation algorithms could be 33%–66% of the collected image pixel resolution. To achieve sufficient optical sensitivity, the distance ratio Zd/Zb was suggested to be 1:2. This study provides a cost-effective and entrie flow-field measurement for assessing local ventilation capture efficiency.

Pre-Operative Management of the Penicillin Allergic Patient: A Narrative Review

Penicillin is a frequently reported medication allergy. The beta-lactam ring shared between cephalosporins and penicillin often leads to the use of alternative antibiotics for surgical prophylaxis due to concern for cross-reactivity, despite a true IgE-mediated hypersensitivity being very rare. This misconception leads to the use of less effective second line antibiotics, such as clindamycin or vancomycin, for penicillin-allergic patients which has been shown to increase odds of postoperative infection in elective knee arthroplasty, shoulder arthroplasty and spine surgery. Preoperative penicillin allergy testing has been demonstrated to be a cost-effective measure in the prevention of prosthetic joint infection and is suggested for all penicillin-allergic patients in the peri-operative setting. This review highlights and summaries the outcomes of orthopaedic procedures in patients with reported penicillin allergies and discusses potential solutions to the perioperative challenges of patients with reported penicillin allergies.

Expert consensus on the construction and improvement of adult vaccination service system at medical institutions

The "Healthy China 2030" plan outlines the goal of providing equitable, accessible, and continuous health services to achieve overall health for the population. However, with the increasing aging population in China, the burden of chronic non-communicable diseases and infectious diseases negatively impacts public health. The elderly population has high hospitalization rates due to infections from influenza virus, respiratory syncytial virus, and Streptococcus pneumoniae, which can even lead to death, posing a heavy economic burden on the healthcare system. Meanwhile, the prevalence of chronic diseases and multimobidity among adults are continuously rising, and infections could attack the high-risk groups which cause comlicaitons and severe outcomes. Vaccination is considered as most cost-effective measure for preventing infectious diseases, significantly reducing the disease burden on individuals while effectively controlling the spread of epidemics within the community. Currently, the adult vaccination service system in China is significantly lagging, making it difficult to fully utilize the health protection benefits of vaccines throughout the entire lifecycle. Therefore, to improve adult vaccination services and increase the vaccination rate among high-risk populations for severe diseases, this expert consensus analyzes the current status and challenges of adult vaccination services based on literature reviews and expert discussions. To provide suggestions for the establishment and improvement of adult vaccination service system, and reference health authorities and disease control and prevention departments to formulate relevant policies.

Noise sensors - Part 1: Usage for the redesign of neighbourhoods

An interdisciplinary research project at the Stuttgart University of Applied Sciences with participation of the departments of urban planning, surveying and geoinformatics, business psychology and acoustics, present alternative urban scenarios. Different aspects for the redesign of the district, especially measures to reduce the individual motorised transport, were investigated. Virtual reality and augmented reality experiments are used in public spaces, to show redesign possibilities. Surveys of people, who had the experience of the future scenarios via the AR application and VR application, were carried out. Additionally, acoustical surveys and measurements in this research project were performed using so called noise sensors. These sensors based on MEMS microphones were developed for a simple and cost-effective measurement of external noise in a citizen sciences project. The measurement results of the noise sensors are saved online and can be accessed on the homepage "Sensor.Community". One of the noise sensors was used in the project area over a longer period. Measurement values were generated in third octave bands at intervals of 5 s and are available for further evaluations, e.g. for the calculation of indoor noise levels. The paper presents the research project and reports about the application of the noise sensor.

Advancements in railway noise simulation: assessment of tools for virtual validation

In pursuit of more efficient and cost-effective measurement campaigns, the railway industry is embracing the prospect of virtual validation based on simulations. The primary obstacle lies in the need for noise simulation tools capable of accurately replicating complex sources, installation effects, noise propagation, ground reflection and, for some cases, the diffraction in the different train surfaces. This paper presents insights derived from European project Shift2Rail S2R-CFM-CCA-01-2019 Energy and Noise & Vibration WP6, concentrating on the validation and enhancement of two exterior noise simulation tools, tailored for railway applications. The paper covers four reference cases, simulating exterior noise at standstill with diverse noise sources and varying source locations and noise emission (i.e. electrical noise, cooling, etc.). A correlation with previously conducted measurements at typical receiver locations (7.5 meters from the track centerline) is carried out. The measurements were conducted in a "controlled" configuration, isolating as much as possible the analyzed noise source and gathering all the needed information about the ground and train geometry. The evaluation between measurements and simulations is done against a global and a 1/3rd octave band criteria with successful results. Finally, key features essential for achieving more accurate simulations are listed.

Assessing the reliability of a ship energy performance simulation tool through on-board data

To mitigate the environmental impact of shipping on climate change, it is nowadays urgent to explore energy efficiency and cost-effective measures by means of reliable digital tools. These are becoming essential for assisting the design of new ships and the refurbishment of the existing ones, as well as for assessing and optimizing the energy performance of a ship during its entire life-cycle. This paper focuses on the verification of the reliability of a novel ship energy dynamic simulation tool, developed for the calculation of the energy, economic, and environmental performance of large ships, the design and optimization of energy system layouts and operational logics, as well as the definition of design and management guidelines for ships. The reliability of the developed model was verified through the use of data measured onboard an existing sample cruise ship. The verification procedure is conducted for assessing the reliability and for exploiting the potentiality of dynamic analysis for a more precise evaluation of ships energy loads, temperature levels, and necessary sizes of possible saving technologies. The validated tool will enable reaching two different goals: i) to evaluate different energy system layouts and to define the optimal one for achieving the present imposed targets and constraints, ii) to obtain a large amount of data for allowing the implementation of the digital twin approach in the maritime sector. The model validation was successfully achieved and very low or negligible deviations, lower than 4%, of numerical data vs. measurements were observed. Through the validated simulation tool approximately 23.4 GWh of primary energy from polluting fuels over two weeks is computed. In addition, the model provided insights into the flow rate, temperature levels, and energy flows of the ship energy system, necessary for identifying the amount of thermal energy to be recovered as well as potential solutions to enhance the energy efficiency of the entire system.

Estimating sediment delivery ratio using the RUSLE-IC-SDR approach at a complex landscape: A case study at the Lower Snowy River area, Australia

Understanding the dynamics of sediment transport and deposition in natural landscapes is critical to developing cost-effective mitigation measures to control soil erosion and protect ecosystems. However, none of a single existing model can quantify sediment delivery ratio (SDR) and the impact factors such as vegetation and geomorphology, especially in a complex landscape. In this case study, we applied an integrated approach including the revised universal soil loss equation (RUSLE) and the index of connectivity (IC) to assess hillslope erosion and SDR, namely RUSLE-IC-SDR, across a complex landscape in the Lower Snowy River area, Australia. The RUSLE factors were derived from a high-resolution (2 m) digital elevation model (DEM), digital soil maps, high-resolution rainfall data and remotely sensed fractional vegetation cover. A seven-class landform classification was delineated from the high-resolution DEM using a fuzzy logic landform model (FLAG). We further examined the impacts of rainfall, vegetation cover and geomorphology on sediment dynamics and distribution across the study area. Field and laboratory data from 10 plot sites across the study area were collected and used for model validation. This case study showed that the RUSLE-IC-SDR approach can assess the overall sediment budget and the impacts of rainfall, vegetation cover and geomorphology across a complex landscape. Findings from this study can identify and track the areas likely to generate high sediment yield for developing ecological restoration, feral animal management and other catchment management measures.

A framework for cost-effectiveness analysis of greenhouse gas mitigation measures in dairy industry with an application to dairy farms in China

The dairy industry is a significant contributor to global greenhouse gas emissions (GHG). Although much effort has been directed to explore the cost-effective measures for many sectors such as electricity, building infrastructure, transportation, research on mitigation measures within dairy industry remains limited. A notable obstacle is the absence of a cost-effectiveness analysis (CEA) framework to guide decision-makers and practitioners in this sector. In response, we propose a comprehensive CEA framework tailored to mitigate GHG emissions in the dairy industry. Our conceptual framework consists of six steps: defining the system boundary to determine the activities generating GHG emissions; identifying GHG emission sources within the system boundary; identifying potential mitigation measures; determining methods to quantify GHG emissions; collecting data to estimate both GHG emissions and mitigation costs; and applying general econometric methodologies to analyze the cost-effectiveness of mitigation measures. We further conducted a case study focusing on dairy farms in China, analyzing three categories of mitigation measures: feed, energy, and manure management. The results indicate that implementing effective feed and energy measures is a cost-saving strategy, reducing the cost per unit of milk production. Conversely, adopting effective manure management measures may lead to increased costs for dairy farms. The findings offer strategic recommendations for reducing GHG emissions from dairy production in China and provide analytical insights and strategic references applicable to other developing countries.

Efficient physics-informed transfer learning to quantify biochemical traits of winter wheat from UAV multispectral imagery

Accurate and efficient estimation of biochemical traits, including leaf index area (LAI), leaf chlorophyll content (LCC) and canopy chlorophyll content (CCC), is crucial for crop growth monitoring in agricultural management. Recent advancements in unmanned aerial vehicle (UAV) multispectral remote sensing have enabled fast and cost-effective measurements of these traits. However, traditional statistical regression models trained on specific datasets lack scalability and transferability across practical field conditions without retraining. This study proposed an efficient physics-informed transfer learning model (PITL) for winter wheat biochemical traits estimation from UAV multispectral data. The PITL integrates the strengths of physical radiative transfer simulations and deep neural network architectures through transfer learning to improve the estimation of biochemical traits from UAV multispectral data. The PITL was tested with convolutional neural network (CNN), deep neural network (DNN), and long short-term memory (LSTM) architectures. Results indicated that PITLDNN had better accuracy than PITLCNN and PITLLSTM models in predicting LAI (R2=0.94, RMSE = 0.32 m2/m2), LCC (R2=0.81, RMSE = 5.20 μg/cm2) and CCC (R2=0.928, RMSE = 0.2 g/m2). Moreover, PITLDNN demonstrated higher capability in computational efficiency, making it suitable for processing large volumes of UAV multispectral data in crop growth monitoring applications. Furthermore, PITL's integration of radiative transfer knowledge with labeled field data yielded higher predictive accuracy compared to physically-based inversion model, pure data-driven deep neural network approaches, and hybrid models. This study highlighted the performance of PITLDNN in accurately and efficiently quantifing biochemical traits from UAV multispectral data, thereby providing timely and accurate information for guiding crop growth monitoring applications.

Intelligent dielectric method for evaluating some qualitative characteristics of date fruit

This study aimed to develop an intelligent capacitive system to measure the moisture content of date fruit and to recognize fruit characteristics, such as variety, size, and ripeness. A cost-effective and fast non-contact measurement solution using the capacitive method was employed to create a platform with a variable oscillator to measure the dielectric properties of date fruit after harvest. Different date varieties, namely Zahedi, Ghasb, Mazafati and Medjool, representing dry, semi-dry and wet date fruit, respectively, were selected to model and calibrate the proposed system. Samples of date fruit of each variety were selected at three different ripening stages (Khalal, Rutab and Tamr), ranging from high to low moisture content. Additionally, five distinct moisture contents were determined using the oven method. The moisture content of the date fruit samples ranged from 8.6 % to 86.9 % owing to the selection of four varieties, three ripening stages and five stepwise thermal treatments. After acquiring electronic information, 80 % of the dataset was allocated for training purposes, while the remaining 20 % was reserved for evaluating the final regression model. The results showed that of all the trained machine learning models, Support Vector Regression (SVR) had the highest potential for predicting moisture content at the specified frequencies. The SVR model was fine-tuned by fitting 1824 combinations of hyperparameters over 6 folds. The tuned model's prediction for 20 % of the assigned test data resulted in a coefficient of determination of 88 % compared to the actual moisture content, with a Root Mean Square Error (RMSE) of 9.4 %. Furthermore, the dielectric-based system classified the ripening stages using a Multilayer Perceptron (MLP) model, achieving F1 scores of 87 %, 60 % and 68 % for the Khalal, Rutab and Tamr stages, respectively. The MLP regression model also predicted the geometric mean of the date fruit with a coefficient of determination of 0.82 and an RMSE of 3.05 mm.

Energy Efficiency in Seasonal Homes: A Study on the Occupancy, Energy Use, and Renovation of Second Homes in Sweden

The escalating utilisation of second homes has led to an extension in heating periods and, to a certain degree, renovations to elevate the standard, resulting in augmented energy and resource consumption. A comprehensive survey was conducted in Sweden, examining user patterns across different seasons, heating systems, and implemented energy efficiency measures. The results indicate that second homes are occupied for extended periods during the summer season and intermittently throughout the year. Over half of the second homes are heated even when unoccupied, with 12% maintaining a temperature above 16 °C. The predominant heating method is direct electricity (32.2%), followed by heat pumps (29.5%) and stoves (17.5%). A variety of renovations are undertaken, primarily to enhance the standard and technical performance, but also to implement energy efficiency measures such as window replacement, additional insulation, or heat pump installation. Based on the reported user and heating patterns, and the energy renovations carried out, the potential energy savings with different energy renovation strategies were estimated for the Swedish second home stock. The results show that though lowering the temperature when a second home is unoccupied emerges as the most efficient measure, both in terms of cost-effectiveness and climate impact, it needs to be complemented with intermittent heating or dehumidification to ensure that the relative humidity is below critical levels, to avoid the risk of damages caused by, for example, mould growth. Installing a heat pump is the second most energy- and cost-effective measure and has the advantage that the indoor temperature can be maintained at rather high levels.

Penetrating Barriers: Noncontact Measurement of Vital Bio Signs Using Radio Frequency Technology.

The noninvasive measurement and sensing of vital bio signs, such as respiration and cardiopulmonary parameters, has become an essential part of the evaluation of a patient's physiological condition. The demand for new technologies that facilitate remote and noninvasive techniques for such measurements continues to grow. While previous research has made strides in the continuous monitoring of vital bio signs using lasers, this paper introduces a novel technique for remote noncontact measurements based on radio frequencies. Unlike laser-based methods, this innovative approach offers the advantage of penetrating through walls and tissues, enabling the measurement of respiration and heart rate. Our method, diverging from traditional radar systems, introduces a unique sensing concept that enables the detection of micro-movements in all directions, including those parallel to the antenna surface. The main goal of this work is to present a novel, simple, and cost-effective measurement tool capable of indicating changes in a subject's condition. By leveraging the unique properties of radio frequencies, this technique allows for the noninvasive monitoring of vital bio signs without the need for physical contact or invasive procedures. Moreover, the ability to penetrate barriers such as walls and tissues opens new possibilities for remote monitoring in various settings, including home healthcare, hospital environments, and even search and rescue operations. In order to validate the effectiveness of this technique, a series of experiments were conducted using a prototype device. The results demonstrated the feasibility of accurately measuring respiration patterns and heart rate remotely, showcasing the potential for real-time monitoring of a patient's physiological parameters. Furthermore, the simplicity and low-cost nature of the proposed measurement tool make it accessible to a wide range of users, including healthcare professionals, caregivers, and individuals seeking to monitor their own health.

Health Care Expenditure of Patients With Type 2 Diabetes Mellitus in Bangladesh: A Review

The main objectives of this review are to offer an in-depth examination of the analysis of health care expenditure of patients with type 2 diabetes mellitus in covering its epidemiology, causes, clinical manifestations, diagnostic techniques, treatment approaches, and prognosis in Bangladesh. Most of the information and data are mainly involved in a critical review of various studies from sample groups of different ethnicities, age groups and genders. This study employs a systematic review and meta-analysis approach to compile and analyze existing research on health care expenditure of patients with type 2 diabetes mellitus. The study follows the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to ensure comprehensive and transparent reporting of the review process. Results on the basis of various reports showed that the length of diabetes and the number of co-morbidities and complications raise the cost of healthcare. The data confirms the previously reported conclusion that patients treated with insulin monotherapy or an insulin and oral hypoglycemic agents (OHAs) combination had higher direct costs and overall costs than patients treated with OHAs alone. Overall, it was discovered that the main contributing factors to the cost of therapy were the length of diabetes, the quantity of co-morbidities and complications, and the type of treatment. The prevalence of type 2 diabetes is increasing in Bangladesh, where out-of-pocket medical expenses are higher and universal health insurance is not available to the general public. Planning cost-effective diabetes management and prevention measures is necessary. A suitable insurance plan should be created with special services for diabetic patients. To reduce the negative effects of the condition, early detection of diabetes is essential as reported by several studies compiled herein. This can be accomplished through raising awareness and eradicating the social stigma, especially for women in Bangladesh. J. Bio-Sci. 32(2): 93-106, 2024