Cumulative Impact Research Articles

Greenly Synthesized Conducting Polymer Nanotunnels with Metal-Hydroxide Nanobundles in Single Dais for Unmitigated Water Oxidation.

Electrochemical water splitting required efficient electrocatalysts to produce clean hydrogen fuel. Here, we adopted greenway coprecipitation (GC) method to synthesize conducting polymer (CP) nanotunnel network affixed with luminal-abluminal CoNi hydroxides (GC-CoNiCP), namely, GC-Co1Ni2CP, GC-Co1.5Ni1.5CP, and GC-Co2Ni1CP. The active catalyst, GC-Co2Ni1CP/GC, has low oxygen evolution reaction (OER) overpotential (307 mV) and a smaller Tafel slope (47 mV dec-1) than IrO2 (125 mV dec-1). The electrochemical active surface area (EASA) normalized linear sweep voltammetry (LSV) curve exhibited outstanding intrinsic activity of GC-Co2Ni1CP, which required 285 mV to attain 10 mA cm-2. At 1.54 V, the estimated turnover frequency (TOF) of GC-Co2Ni1CP/GC (0.017337 s-1) was found to be 3-fold higher than that of IrO2 (0.0014 s-1). Furthermore, the GC-Co2Ni1CP/NF consumed a very low overpotential (281 mV) with a small Tafel slope of 121 mV dec-1. The ultrastability of GC-Co2Ni1CP for industrial application was confirmed by durability at 10 and 100 mA cm-2 for the OER (GC/NF-8 h, 2.0%/100 h, 2.2%) and overall water splitting (100 h, 3.8%), which implies that GC-Co2Ni1CP had adequate kinetics to address the elevated rates of water oxidation. The effect of pH and addition of tetramethylammonium cation (TMA+) reveal that GC-Co2Ni1CP follows the lattice oxygen mechanism (LOM). The solar-powered water electrolysis at 1.55 V supports the efficacy of GC-Co2Ni1CP in the solar-to-hydrogen conversion. The environmental impact studies and solar-driven water electrolysis proved that GC-CoNiCP has excellent greenness and efficiency, respectively.

Relative-to-resident abuse in Norwegian nursing homes: a cross-sectional exploratory study.

In community settings, relatives often provide care to their older family members, which is sometimes perceived as a high burden, overwhelming and stressful, contributing to an increased risk of elder abuse. In most countries, relatives have no legal obligation to provide care when family members are admitted to nursing homes; nevertheless, studies have shown that relatives continue to provide emotional, instrumental, and personal care after admission, often related to the understaffing and high workload of nursing staff. Despite the growing interest in elder abuse in nursing homes, most studies have concentrated on the abuse perpetrated by nursing staff or co-residents, but few studies have explored the abuse that relatives may perpetrate. This study was a cross-sectional survey of 3,693 nursing staff members recruited from 100 nursing homes in Norway, to examine the extent of relative-to-resident abuse in Norwegian nursing homes, as observed by nursing staff. The findings indicate that 45.6% of the nursing staff had observed one or more episodes of relative-to-resident abuse during the past year. Among the subtypes of abuse, 44.8% of the nursing staff had observed psychological abuse, 8.4% had observed physical abuse, 2.7% had observed financial/material abuse, and 0.7% had observed sexual abuse at least once during the past year. This is the first large study exploring the extent of relative-to-resident abuse in nursing homes, which is a phenomenon that is significantly less addressed than abuse committed by staff and co-residents. The findings in our study illustrate that abuse committed by relatives needs more awareness and attention to improve the well-being of nursing home residents. Further research is recommended to enhance our understanding of such abuse and should include other approaches measuring the proportion of relative-to-resident abuse, as relying solely on staff observations is insufficient for determining the prevalence in this case. Future studies should also examine the cumulative impact of victimization in nursing homes and should include an analysis of how cases of abuse are reported and handled.

An evaluation and comparative analysis of higher education health and sustainability: India’s performance and global

This study evaluates the health and sustainability of higher education systems in nine countries: the USA, UK, Australia, Germany, Canada, China, Brazil, India, and South Africa. Using a multi-level analysis model and principal component analysis (PCA), nine key factors—such as international student numbers, academic levels, and graduate employment rates—were identified, capturing over 90% of the cumulative impact on higher education systems. India, scoring 6.2036 initially, shows significant room for improvement. The study proposes policies to increase graduate employment, promote international faculty collaboration, and enhance India’s educational expenditure, which surpasses 9.8% of GDP. Post-policy simulations suggest India’s score could rise to 8.7432. The paper also addresses the impact of COVID-19 on global education, recommending a hybrid model and increased graduate enrollment in China to reduce unemployment by 5.4%. The research aims to guide sustainable development in higher education globally.

Counting regulations and measuring regulatory impact: a call for nuance

The effect of regulation on virtually every aspect of the lives of US citizens has led to an understandable impulse to measure this total impact. It has led to various attempts to count the total number of regulations and regulatory requirements, and to total the costs and benefits of regulation. And these counting mechanisms have played prominent roles in discussions over statutory changes designed to reform the process by which we write regulations. However, counting regulations in a meaningful way and measuring their cumulative economic impact is an astonishingly difficult task. For this reason, there have been a wide variety of methods that scholars and advocates have employed in the effort to do so. This article is an attempt to catalog the most prominent methods of counting regulations and measuring regulatory impact in the United States, describe their strengths and weaknesses, and suggest alternative approaches to attack this important question. We suggest both using large language models and detailed analysis of Paperwork Reduction Act data and, at the opposite extreme, doing more qualitative work on the consequences of regulation on individuals, firms, and industries.

Comparative Sensitivity Analysis in Composite Material Selection: Evaluating OAT and COMSAM Methods in Multi-criteria Decision-making

The decision-making process is critical across various fields, influencing essential aspects like performance, safety, and sustainability. In engineering and materials science, selecting suitable materials is a complex process involving multiple interdependent criteria, which impact the reliability and lifecycle of a design. Traditional sensitivity analysis methods, such as the one-at-a-time (OAT) approach, assess the effects of individual parameter changes but often fail to capture the cumulative impact of simultaneous modifications. It can limit the effectiveness of decision tools in real-world scenarios where multiple factors vary concurrently. This study utilizes the Comprehensive Sensitivity Analysis Method (COMSAM) to address limitations in traditional sensitivity analysis by modeling simultaneous parameter adjustments across multiple criteria. Specifically, the study aims to validate COMSAM’s effectiveness in the practical problem of composite material selection, comparing it with the traditional OAT approach within a multi-criteria decision-making (MCDM) framework. By integrating both sensitivity analysis techniques with the Characteristic Objects Method (COMET), this research ensures robust evaluation and mitigates vulnerabilities like the rank reversal paradox. The findings demonstrate that COMSAM provides enhanced insights into the impact of parameter interdependencies, offering a more resilient foundation for decision-making in high-stakes environments where material properties and performance are paramount.

Stability and reliability of regional cumulative impact mapping: A Canadian Pacific case study

Cumulative impact mapping is a commonly applied spatial representation of the impacts of human activities on the ocean. This spatial model has been applied at varying scales around the world, in part due to its ability to visually communicate complicated information in a simple way. The application of the model to decision-making processes requires an understanding of the reliability and stability of its outputs. This paper represents both an updated regional application in Pacific Canada and an evaluation of the tool over two iterations, 2015 and 2023. The regional application utilised higher model resolution and new and improved data inputs including 38 habitats and 46 activities across five sectors. High impact hotspots were found around major population centres and ports, as well as in fishing and shipping areas along the continental shelf. Commercial fishing, shipping, and climate change (sea surface temperature change) remained the major drivers of cumulative impacts in the region, and cumulative impacts per unit area continued to be highest in kelp and seagrass. Results suggest evidence of decreased impacts where improved protection for sponge reefs were implemented but show an overall increase in cumulative impacts for the region. Results showed consistency and reliability in the location of cumulative impact hotspots. Refinements in data quality and resolution of spatial data inputs contributed towards increasing the spatial precision of hot spot areas identified. Confidence in the cumulative impact mapping outputs and applications for marine spatial planning, marine protected area designation and management, research, and decision support are discussed.

The cumulative effect of compound heterozygous variants in TRPV3 caused Olmsted syndrome

BackgroundOlmsted syndrome (OS) is a rare genodermatosis predominantly inherited in an autosomal dominant manner, typically arising from gain-of-function (GOF) variants in the transient receptor potential channel vanilloid 3 (TRPV3). ObjectiveThis study aims to investigate potential mechanisms underlying OS in two cases presenting with an autosomal recessive inheritance pattern. MethodsNext-generation sequencing panel was employed to identify TRPV3 variants. TRPV3 plasmids carrying specific point variations were generated and transiently transfected into HEK293T cells. Electrophysiological patch-clamp techniques were utilized to record voltage-activated and ligand-activated currents. Celltiter-Glo luminescent assay was employed to analyze the cell viabilities. ResultsCompound heterozygous variants, c.1563G>C (p.W521C) and c.1376C>T (p.S459L), as well as c.1773G>C (p.L591F) and c.2186G>A (p.R729Q), were identified in the two OS patients respectively. Electrophysiological analysis of ligand-induced activation of TRPV3 variants demonstrated the closest correlation with clinical manifestations. All four variants displayed GOF channel activity characterized by increased sensitivity. Notably, W521C and L591F exhibited both heightened sensitivity and lower EC50 values for the TRPV3 agonist. Co-transfection with wild-type TRPV3 plasmids significantly rescued these effects. Cells co-transfected with the corresponding compound heterozygous variants exhibited intermediate electrophysiological characteristics. ConclusionsIn this study, we present two cases of OS by autosomal-recessive inheritance of TPRV3 variants. This study presents a notable observation of compound heterozygous GOF variants in TRPV3, highlighting their cumulative impact on clinical manifestations. Additionally, we advocate for the use of ligand-dependent ion channel activity assays to assess the pathogenicity of TRPV3 variants in OS.

Research of neural network-based model for nonlinear temperature drift compensation of MEMS accelerometers.

Downhole instrumentation requires more and more accuracy of MEMS inertial sensors. However, in measurement while drilling, temperature drift phenomenon of the sensor will have a cumulative impact on the drill pipe attitude solution. After experimental testing, the output response of the accelerometer had strong local linear and global nonlinear characteristics. In this paper, we proposed a temperature compensation model based on tent chaotic mapping and sparrow search algorithm optimized back propagation (BP) neural network (Tent-SSA-BPNN). Sparrow search algorithm (SSA) was optimized by tent chaotic mapping, which was utilized to improve the uniformity and search ability of SSA populations. Then, the improved SSA was used to optimize the weight and bias parameters of the BP neural network for constructing the temperature compensation model. Finally, the trained compensation model is integrated into the microprogram control unit for real-time compensation testing. The experimental results show that after sacrificing a small amount of sampling frequency, the compensation model proposed in this article has good global compensation performance, and the mean absolute percentage error is reduced from 2% to 0.2% compared to the original output. The mean absolute error and root mean square error of the improved compensation model are all reduced compared to the pre-improved BP compensation model. This temperature-compensated modeling method has a reference value for low-cost and high-precision modeling in high temperature environments, while greatly saving time cost and measurement costs.

THE BR-319 HIGHWAY (MANAUS-PORTO VELHO): THE DISCOURSE FOR “DRIVING”, THE ROAD ISOLATION OF A REGION AND ITS CONSEQUENCES

The objective of this article is to analyze the speech given by the Minister of Environment and Climate Change, Marina Silva, at the Parliamentary Commission of Inquiry (CPI) on NGOs, as well as the statements made by the rapporteur of the CPI, Senator Plínio Valério, from Amazonas, and how these statements reverberated and were broadcast on Amazonian and national news portals and television media. It also analyzes the Environmental Impact Study (EIA), a technical document required to obtain the Preliminary License for repaving the “middle section” of BR-319, whose narratives are dissonant with the minister’s speech. The study is justified by the current importance of the debates on the repaving of the BR-319 highway (Manaus - Porto Velho), both in relation to environmental impacts and the need for improvements in the transportation infrastructure in the Amazon region. The qualitative methodology used in this exploratory study was bibliographical and documentary, based on the discourse analysis theories of Michel Foucault (1993) and his scholars such as Veiga-Neto (2004), Saraiva (2015) and Lemke (2014). The findings indicate that the minister's speech problematizes the relationship between the reconstruction of the highway and the fight against environmental crimes, in addition to questioning the effectiveness of the social policies that would be implemented in the region after the work.

Inequalities in internet use among older people between 2004 and 2021

Although research already examined sociodemographic profiles of older internet (non-)users, it is unknown how combinations of sociodemographic factors relate to internet (non-)use. Therefore, this study aims to investigate the cumulative impact of sociodemographic characteristics on internet (non-)use among people aged 60 and older between 2004 and 2021, using representative survey data derived from the Belgian Ageing Studies (n = 61 376). Logistic regression analyses consistently associated low education, age 80 or older, low income and female gender with higher probabilities of being internet non-user between 2004 an 2021. CHAID analysis revealed that education and age are the strongest predictors of non-use. The cumulative impact of sociodemographic factors enables to reveal subgroups where prevalence rates of non-use are almost three times higher than the prevalence reported in the population of older people in general. The result that 80.1 percent of individuals aged 80 and above with limited education did not use the internet underscores the need for a comprehensive digital inclusion approach, including strategies to overcome economic barriers to internet access and tailored internet training initiatives addressing digital skills and motivation. CHAID results help policymakers and internet training providers identify subgroups with high prevalence rates of non-users and target interventions to those at a high risk of digital exclusion.

Graph network heterogeneity predicts interplant wake losses

Wind plants generate large-scale wakes, which can affect the performance of neighboring installations. Such wakes are challenging to estimate due to the inherent complexity in modeling wake interactions between large quantities of turbines at various distances. Weighted directed graph networks can inform complex models by linking turbine pairs into chains of upstream and downstream neighbors for a given wind direction. A novel interpretation of the graph network adjacency matrix is proposed where each element of the matrix represents the cumulative impact of upstream turbines on an individual. In this study, wake losses were estimated with an engineering wake model across a range of inflow conditions for nine parametric variations of a system containing two neighboring wind plants. The parametric nature of the study isolates turbine spacing within the plant, separation distance between plants, and wind direction as the main drivers of wake losses. Spatial heterogeneity is computed from the weighted average adjacency matrix of each plant arrangement. The proposed method is orders of magnitude faster than wake modeling and does not require detailed turbine information or atmospheric conditions. The weighted average adjacency matrix provides insight on the spatial organization of wake losses at various scales. Plant heterogeneity is correlated with wake losses within and among plants. Framing wind plant wake interaction in terms of graph network spatial heterogeneity provides an efficient approach for predicting wake losses within and among neighboring wind plants with applications to other complex systems where wake interactions are key factor.

Relationship between training volume and overuse injuries in female volleyball players

Problems and Purpose. Overuse injuries are a result of repetitive stress without sufficient recovery, and female volleyball players are known to have high risk of overuse injuries due to the cumulative impact of these repetitive actions. Overuse injuries can occur due to high training volume, which is important for skill development. This raises the potential for overuse injuries. For this reason, the study was conducted to evaluate the correlation between training volume and the incidence of overuse injuries in female volleyball players. Materials and methods. This study used a cohort research design to evaluate the correlation between training volume and the incidence of overuse injuries in female volleyball players, using a questionnaire to collect demographic data such as age, weight, height, exercise history, and previous injury history and OSTRC to collect data regarding the incidence, severity, and impact of overuse injuries on sport participation and daily activities. The sample consisted of 48 female volleyball players of Yusso Yogyakarta club. Results. Out of 48 respondents, 42 athletes had experienced injuries. Based on the OSTRC measurement there were 22 athletes had no injuries on their knees, while 12 athletes had mild injuries to their knees, 8 athletes had moderate injuries to their knees, 6 people had severe injuries to their knees and none. For lower back injuries, 12 athletes did not suffer any, 30 experienced mild injuries, 6 experienced moderate injuries, 6 experienced severe injuries, and 2 experienced very severe injuries. And for the shoulder area, there were 18 athletes were not injuried, 12 athletes had mild injuries, 14 athletes had moderate injuries, 2 athletes had severe injuries, and 2 others had suffered very severe injuries. The correlation between training volume and the incidence of overuse injuries in female volleyball players was tested using the Spearman test. It was found that the amount of training per week influence knee overuse injury with a significant value of 0.001. The amount of exercise per week also correlates with the incidents of low back overuse injury (significance value of 0.043) and overuse injuries in the shoulder area (significance value of 0.034). Conclusion. This study found that high volume training increases the risk of injury excess in female volleyball players, such as shoulder, knee and wrist injuries. Therefore, It is important to develop a balanced excercise program that includes rest periods and recovery to prevent injury.

Exploring the association between lifestyle and cardiovascular health metrics and HPV infection risk: insights from the National Health and Nutrition Examination Survey 2005–2016 data

BackgroundHuman Papillomavirus (HPV) infection has garnered significant attention due to its high prevalence and association with various cancers and other health conditions. Composite lifestyle factors may influence the risk of HPV infection, yet their cumulative impact remains insufficiently explored. This study aims to explore the association between the Life’s Essential 8 (LE8) Score and HPV infection status, highlighting the potential role of lifestyle and health behaviors in HPV infection prevention.MethodsUtilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning 2005–2016, we analyzed the health and nutritional statuses of 6,773 participants after excluding those with missing HPV infection status, inability to calculate the LE8 Score, and missing covariate data. The LE8 Score was computed based on eight cardiovascular health metrics, encompassing both health factors (BMI, non-HDL cholesterol, blood pressure, and blood glucose) and health behaviors (physical activity, diet, sleep duration, and nicotine exposure). HPV infection status was determined through vaginal swab specimens analyzed using various Roche assays. Multivariate logistic regression, the restricted cubic splines (RCS) analysis and weighted quantile sum (WQS) regression were employed to assess the association between LE8 Score and HPV infection risk.ResultsOur findings indicate a significant inverse association between the LE8 Score and HPV infection risk. Participants with medium and high LE8 Scores exhibited a 21% and 31% lower risk of HPV infection, respectively, compared to those with low LE8 Scores in multivariate logistic regression models. The analysis also revealed that lifestyle factors, particularly nicotine exposure and blood pressure, significantly contributed to the observed association.ConclusionThe study underscores the importance of healthy lifestyle behaviors in reducing the risk of HPV infection. Public health strategies promoting such behaviors could complement existing HPV prevention measures, potentially lowering the burden of HPV-related diseases. Future research should further investigate the mechanisms underlying this association and the effectiveness of lifestyle interventions in diverse populations.

Full-scale wind turbine performance assessment using the turbine performance integral (TPI) method: a study of aerodynamic degradation and operational influences

Abstract. This study investigates how blade aerodynamic modifications, including leading edge roughness (LER), influence wind turbine performance over their operational lifespan. It introduces a methodology developed to examine the intricate relationship between blade erosion, blade enhancements, operations and maintenance (O&M) events, control programmable logic controller (PLC) parameter updates, and their cumulative impact on turbine efficiency. Analysing data from 12 multi-megawatt offshore turbines over a 12-year period, the investigation hinges on the integration of supervisory control and data acquisition (SCADA) data, O&M records, and air density corrections. A key contribution is the development of the turbine performance integral (TPI) method, which, for the investigated turbines, leverages generator speed and power output data to track performance trajectories. Seasonal trend decomposition using locally estimated scatterplot smoothing (STL) further isolates long-term trends and seasonal variations in performance. Despite data availability and quality limitations, the study reveals significant findings concerning the impact of manufacturer software updates on turbine control strategies, resulting in improved performance; the variable effects of blade repairs and enhancements; and the complex interaction between O&M events and performance. This work applies a methodical approach and statistical rigour, offering a path forward for effectively monitoring wind turbine efficiency and advancing renewable energy.

Uncertain reflective functioning, anxious attachment, and cumulative impact of early relational trauma as predictors of severity in borderline personality disorder

ABSTRACT Background: The mentalization model of borderline personality disorder (BPD) utilizes a developmental psychopathology lens, emphasizing an unstable or reduced capacity to mentalize—stemming from early attachment disruptions and relational trauma—as the core feature of BPD. While the empirical evidence for the proposed intersections between mentalizing, attachment, and trauma and the development and manifestations of borderline personality is still limited, this knowledge is essential for developing effective assessments and interventions. Aim: To examine mentalizing, attachment, and early relational trauma as predictors of the severity of symptoms in BPD. Materials and Methods: The sample included 60 individuals diagnosed with BPD, aged 18–45 years, recruited from inpatient and outpatient services in a tertiary care mental health center. Participants completed measures of mentalizing (Reflective Functioning Questionnaire, Interpersonal Reactivity Index, and Reading the Mind in the Eyes test), attachment (Attachment Style Questionnaire), early relational trauma (Complex Trauma Questionnaire), and symptom severity (Borderline Symptom List). Results: The majority of the participants reported experiences of polyvictimization (93.3%) with the most common traumas being psychological abuse (93.3%), neglect (91.7%), and rejection (90.0%). Regression analyses revealed that uncertain reflective functioning, anxious attachment style, and the cumulative impact of trauma together predicted 53.1% of the variance in BPD symptom severity. Conclusion: Impaired mentalizing, characterized by inflexible understanding of mental states, is a critical target for therapeutic interventions in BPD. The significant role of anxious attachment and the necessity of assessing the perceived impact of traumatic experiences highlight the importance of trauma-informed and mentalization-based interventions for this vulnerable group.

Exposome, oxidative stress and inflammation in multiple sclerosis: the EXPOSITION study protocol

Abstract Background The functional exposome approach examines the relationship between biological effects (internal exposome) and the sum of environmental exposures (external exposome). Multiple sclerosis (MS) is characterized by selective demyelination and acute inflammation; miRNAs and microbiota are emerging in the pathogenesis as inflammation and oxidative stress biomarkers. The EXPOSITION study protocol has been designed to study such biomarkers variation in response to the external exposome (air pollution, urbanization, lifestyles) in people with MS (pwMS). Methods EXPOSITION is a cross-sectional observational study collecting a sample of 200 pwMS residing in Lombardy, Northern Italy. Sample size is based on the prediction of differential expression of candidate miRNAs through bioinformatic analyses. All participants will be investigated for social, demographic and clinical data as well as general and specific external exposome factors. The internal exposome factors will be collected for each participant from blood and stool samples, as well as from nasal swabs. Exposome clustering and correlation statistical techniques will be applied and variation of miRNA and microbiota will be tested in association with the variation of the external exposome in urban and extra-urban environments. Results and conclusions The expected results will help pwMS and researchers understanding which biomarkers and which components of the external exposome are associated to oxidative stress and inflammation, to improve precision medicine and contrast disease progression. The relationship between urban exposome and biodiversity is an important dimension in the study of environmental impact on human health. This study may provide preliminary data to assess which nature-based solutions are suitable for enhancing the biodiversity of urban areas. Key messages • The functional exposome approach could be used to link environmental risk factors and disease biomarkers using the right methology. • EXPOSITION will quantify the variation of miRNA and microbiota in association with the variation of external exposome, in urban and extra-urban environments.

Clinical and laboratory evaluation of the effectiveness of children's toothpastes containing 1000 ppm fluoride

Relevance. This article presents the findings from studies evaluating the effectiveness of toothpastes containing 1000 ppm fluoride in clinical settings. The data demonstrates the cumulative benefits of these toothpastes on oral hygiene, the reduction of inflammatory oral manifestations, and their anticaries effects.Purpose. To assess the effectiveness of fluoride-containing toothpastes through laboratory tests and clinical trials.Materials and methods. The study evaluated the effectiveness of toothpastes containing 1000 ppm fluoride using the following parameters: Greene-Vermillion hygiene index, periodontal indices (PMA and SBI), enamel mineralization and resistance, presence and number of carious lesions at the white spot stage, enamel hypersensitivity, and antimicrobial activity against Streptococcus spp.Results. The analysis of hygiene indices demonstrated that the tested toothpastes were highly effective in cleaning, with a positive cumulative effect on participants' oral hygiene. The use of these toothpastes significantly reduced inflammatory manifestations, decreased gum bleeding, and improved periodontal tissue health. A reduction in the number of participants with early-stage carious lesions, as well as a decrease in the overall number of lesions, was observed. The toothpastes also enhanced enamel resistance to acid exposure, contributing to their anticaries benefits. Enamel hypersensitivity was reduced, and a dose-dependent antibacterial effect against Streptococcus mutans, Streptococcus gordonii, and Streptococcus sobrinus was observed.Conclusion. Toothpastes containing 1000 ppm fluoride demonstrated strong cleaning and refreshing effects, along with a positive cumulative impact on oral hygiene and a significant reduction in inflammation. Their anticaries benefits were confirmed, and they also reduced enamel hypersensitivity. The tested toothpastes were well-tolerated, with no reports of allergic reactions or irritation.

SIA Criteria Compliance of Third Bosphorus Bridge(Yavuz Sultan Selim) Social Impact Assistment

Social, economic, cultural conditions and living systematics that differ according to these, deepen the human-environment relationship. This relationship brings along human’s tendency to the environment through positive or negative activities. Therefore; determining the impact of politics, law, planning and the implementation conditions of these on the environment and human’s health has become crucial. When the environmental impact of the activities in point are determined, it brings forth the possibility to prevent potential damage on the environment. Various impact evaluation systems exist around the world. In our country, Environmental Impact Assestment (EIA), Strategic Environmental Impact Assestment(SEA), Cumulative Environmental Impact Assestment(CIA) and Social Impact Evaluation (SIA) systems are implemented. In the process of project permits in our country, there exists legal regulations which enforce EIA, SEA, CIA. However, there is an absence of social impact evaluation enforcement in the project permission process in Turkey. Even though EIA, SEA and CIA are mandatory in legislation and execution, the social impact of these projects are not stressed adequately. Consequently, even in the existence of mandatory EIA, SEA and CIA by Turkish legislation, foreign investors reinforcing credit on politics, programs, plans and projects do not consider these as sufficient and enforce SIA to be included. There is a lack of standard implementation model to evaluate social impact which could be applied to every project. Due to the weakness and non-existing basic criteria in Turkish legislation on SIA in plans and projects, in this study, the SIA reporting has been prepared by benefiting the social approval criteria and comprehensive studies conducted by certain institutions such as UN, OECD and the World Bank. The sample project bridge, which is the widest bridge in the world with its 52 metre width and “Worlds topmost bridge” in the leaning sling bridge classification with its 322 meter tower height, unites the Asian and European continents to each other. The project with such importance, do not hold EIA, SEA, and CIA reports which evaluates environmental and social impact. The project only holds the SIA report which was conducted in 2013 by international finance institutions and the report was evaluated according to the criteria for social approval. Along with the evaluations on the sample field, suggestions has been set forth for the SIA implementations in Turkey.

Mass Inventiveness in USSR (1954–1990): An Evaluation of Effectiveness

This article explores the historical development of the planning and incentive system for inventiveness and rationalization in the Soviet Union from 1954 to 1990. Through an analysis of published sources and archival materials, it concludes that during the studied period, quantitative metrics dominated the evaluation of inventiveness and rationalization effectiveness, expressed in absolute figures. Notably, the methodologies for calculating these metrics underwent several changes, complicating comparative assessments and the study of phenomena and processes over extended time frames. The development of mass inventiveness enabled the USSR to achieve a leading position globally in terms of the number of registered invention applications, with the cumulative economic impact of implemented rationalization proposals and inventions showing consistent growth throughout the period examined. However, it is noted that relative indicators reflecting the qualitative state of inventiveness and rationalization revealed low rates of sectoral development. The study concludes that qualitative measures of effectiveness did not play a decisive role in the planning, evaluation, and encouragement of inventiveness and rationalization in the USSR.

Budget Impact Analysis of Implementing Antenatal Care Recommendations for Positive Pregnancy Outcomes at Public Primary Facilities in Tanzania.

Tanzania recently changed its antenatal care (ANC) guidelines to reduce perinatal mortality and improve the experience of pregnancy care. The new guideline recommends increasing the number of ANC visits from four to eight and introducing one routine ultrasound scan, among other recommendations. We estimated the budget impact of implementing the new guideline compared to the previous focused ANC guideline at public dispensaries and health centers. In a dynamic Markov model, we prospectively followed annual cohorts of between 2.3 and 2.6 million pregnant women who will be attending ANC at dispensaries and health centers for 5years. We allowed a population of pregnant women into the model every year and women exit the model at delivery. We calculated the cost of medicines, medical supplies, and laboratory supplies required to produce services from a public health system perspective. Our model neither estimated condition-related costs nor health effects. The budget impact was calculated as the difference in the estimated costs between the two guidelines. We conducted scenario analyses to explore attending more visits and different assumptions to calculate the target population. We estimated that implementing the new ANC guideline would have a cumulative budget impact of around US$154 million over 5years. The budget required will increase from US$137 million under the focused ANC guideline to US$291 million under the new guideline. Laboratory supplies will consume 47% of the estimated budget under the new guideline. We expect the annual budget impact to be US$38 million in the first year of implementation and US$32 million in the fifth year. We assumed that by the fifth year, 82% of all pregnant women would have had four or more visits. The budget impact would increase to US$214 million, with the proportion of pregnant women attending four or more ANC visits reaching 90% within 5years. Scaling up the implementation of the new ANC guideline at public dispensaries and health centers may substantially increase the supplies required to produce ANC services, particularly laboratory supplies. Studies on the health impact of the new guideline are warranted to estimate the value for money.