Loss Assessment Research Articles

Assessment of the losses of ecosystem services of non-flowing waters as a consequence of military intervention

This study explores the challenges in developing a contemporary system of assessment indicators for determining damage to biodiversity. It specifically focuses on the eco-economic aspects of assessing losses in ecosystem services of non-flowing water bodies due to military intervention. To achieve the set objectives, the article utilizes a combination of general scientific and specialized methods from modern ecosystem theory and general ecological assessment, including analysis, synthesis, generalization, systematization, abstract-logical methods, and more. The methodological and theoretical foundation of the research is based on key principles of modern ecosystem theory (following the CICES methodology) regarding the assessment of ecosystems based on selected categories (types) of ecosystem services. In this context, a comprehensive evaluation of lost ecosystem services in non-flowing water bodies is proposed, focusing on major types of potential losses (functional features: provisioning, regulation and support, cultural and recreational services). Using the case study of the destroyed Kakhovka Reservoir, the article applies scoring methods (according to Ya. Didukh) and the «transfer of value» method (according to R. Costanza) to calculate losses in ecosystem services. The article suggests a comprehensive structure for the eco-economic assessment of losses in ecosystem services of non-flowing water bodies, combining two distinct components: ecological and economic. The ecological component may include scoring, expert, and experimental assessments, while the economic component may involve the assessment of losses in ecosystem services of freshwater ecosystems in non-flowing water bodies: a) by their major types (functional features); b) in general. The practical application of the proposed methodological approaches allowed for the monetary assessment of the complex of lost ecosystem services of the Kakhovka Reservoir due to military actions, amounting to approximately $27,452,889,000, which should be fully compensated by the aggressor state. Future research prospects lie in the theoretical-methodological justification and development of a domestic mechanism for assessing losses in ecosystem services of surface waters, particularly non-flowing water bodies, resulting from military intervention. These prospects are rooted in a comprehensive examination of scoring, expert, and experimental assessment indicators within the framework of general ecological assessment

New Zealand specific consequence functions for seismic loss assessment

Quantitative seismic loss assessment has become an increasingly popular tool for evaluating the seismic performance of structures. The growth in popularity is largely in response to a desire to look beyond the traditional life safety performance objective and instead consider also economic losses and downtime due to earthquakes. A key step in the loss assessment calculation process is relating damage in both structural and nonstructural components to appropriate repair strategies and subsequently repair costs and repair times. This is achieved through the use of so-called consequence functions, which in this paper are derived specifically for the New Zealand context. Furthermore, a framework is established for other researchers and professional engineers to continue to build on and improve the initial dataset. It is shown that using New Zealand specific consequence functions can have a noticeable effect on estimates of expected annual loss when compared to a benchmark case using consequence functions from FEMA P-58. The opportunity is also taken to evaluate the impact of recent updates to the New Zealand National Seismic Hazard Model, with the results for a case-study building in Wellington indicating that the change in hazard has a far more significant effect on estimates of loss when compared to the choice of different consequence functions.

Earthquake-induced loss assessment of hybrid self-centering piston-based braced frame with friction springs and SMA bars

A novel Self‐Centering Piston-Based Bracing (SC-PBB), integrating Friction Springs (FSs) and Shape Memory Alloy (SMA) bars, offers a promising solution for curtailing seismic damage in braced frame structures. Nevertheless, this hybrid SC-PBB may incur higher construction costs compared to conventional bracing archetypes. Accordingly, it is imperative to investigate whether the initial cost increase can be offset over the structure's lifespan. This study quantifies earthquake-induced financial losses in braced frames equipped with SC-PBBs (SC-PBBFs) compared to those equipped with Buckling-Restrained Bracings (BRBs). A building-specific Performance-Based Earthquake Engineering (PBEE) framework is employed to evaluate potential economic losses under far-field ground motions. The analysis quantifies total, collapse, irreparable, and repair losses by incorporating seismic hazards, structural demands, and damage consequences. Results reveal higher total and collapse losses for BRBFs, although their lower repair costs for non-structural components mitigate repair loss. Additionally, the low-rise SC-PBBF archetype could recoup initial construction expenses over its expected lifespan, unlike its BRBF counterpart.

A Novel Loss Model to Include the Disruption Phase in the Quantification of Resilience to Natural Hazards

Resilience of systems to natural hazards has become an interesting concept in civil engineering and it is based on the determination of the losses due to the impacts of natural hazards. In the last decades, many contributions have focused on the assessment of losses that may occur at the time of the event, as generally assumed for earthquakes. However, this assumption may be incorrect when the interval between the time of occurrence and the time when the system functionality reaches the minimum value needs to be considered. This paper aims to propose a novel method to quantify this interval, which is called disruption time, by proposing a novel formulation of the loss model based on infrastructure redundancy. The proposed method was herein applied to a case study that considers landslides in Sri Lanka. The main goal of the paper is to propose a formulation that can be implemented in a more comprehensive framework to calculate more realistically the resilience of systems to natural hazards.

Research on Evaluation Method of Wind Farm Wake Energy Efficiency Loss Based on SCADA Data Analysis

The large size of wind turbines and wind farm clustering aggravate the effect of wake on output power, resulting in a reduction in the economic benefits of wind farms. This paper took the actual operating turbines of an onshore wind farm in China as the research object and analyzed the influence of wake on energy efficiency loss by combining SCADA data. The research established a complete loss assessment method and proposed the corresponding evaluation criteria. The results showed that typical wind turbines seriously affected by wake accounted for 32.8% of the wind farm. The actual output power was only 84.2% of the theoretical output power at the lowest month, and the wake loss of the wind farm is serious. The economic efficiency of the wind farm is lower in the summer months (June–August). The study can provide a theoretical basis for the arrangement of wind farms and the development of an operation control strategy.

A Double-blind, Randomized Clinical Trial Study of Plantago major l. Syrup on Menorrhagia

Objective: Menorrhagia is a common and costly complaint of patients in gynecology. Plantago major L. (P.major) is one of the herbal remedies recommended by Persian medicine for menorrhagia. Materials and methods: In this study, women with menorrhagia who did not have abnormal findings in para-clinical evaluation, were divided into two groups: herbal drug (P.major syrup) and placebo (simple syrup). After one cycle, menstrual blood loss based on Pictorial Blood Loss Assessment Chart (PBAC), menstrual duration, hemoglobin and hematocrit were assessed in both groups. Results: 65 patients completed the study. In the herbal drug group, menstrual blood loss and menstrual duration decreased from 205.5 ± 8.38 to 185.03 ± 12.30 (P< 0.001) and from 8.30 ± 0.85 to 7.68 ± 1.62 (P= 0.003), respectively. Although the difference between groups in terms of blood loss in the baseline was not significant, it became significant after intervention (P< 0.001). Also, after intervention hemoglobin and hematocrit were significantly increased from 11.82 ± 0.39 to 11.99 ± 0.20 and from 35.47 ± 1.18 to 35.69 ± 1.32 resp. (P< 0.001) in herbal drug group, however they were decreased significantly in placebo group. No adverse effects were reported after using the herbal drug. Conclusions: P.major may be a good candidate for further study to be considered as a safe and effective remedy for menorrhagia.

Efficacy and safety of enavogliflozin vs. dapagliflozin as add-on therapy in patients with type 2 diabetes mellitus based on renal function: a pooled analysis of two randomized controlled trials

BackgroundWe assessed the efficacy and safety of enavogliflozin (0.3 mg), a newly developed SGLT-2 inhibitor, in patients with type 2 diabetes mellitus based on kidney function via pooled analysis of two 24-week, randomized, double-blind phase III trials.MethodsData from 470 patients were included (enavogliflozin: 0.3 mg/day, n = 235; dapagliflozin: 10 mg/day, n = 235). The subjects were classified by mildly reduced (60 ≤ eGFR < 90 mL/min/1.73 m², n = 247) or normal eGFR (≥ 90 mL/min/1.73 m², n = 223).ResultsIn the mildly reduced eGFR group, enavogliflozin significantly reduced the adjusted mean change of HbA1c and fasting plasma glucose levels at week 24 compared to dapagliflozin (− 0.94% vs. −0.77%, P = 0.0196). Enavogliflozin exhibited a more pronounced glucose-lowering effect by HbA1c when combined with dipeptidyl peptidase-4 inhibitors than that observed in their absence. Enavogliflozin showed potent blood glucose-lowering effects regardless of renal function. Conversely, dapagliflozin showed a significant decrease in the glucose-lowering efficacy as the renal function decreased. Enavogliflozin showed a higher urinary glucose excretion rate in both groups. The homeostatic model assessment showed that enavogliflozin markedly decreased the insulin resistance. The blood pressure, weight loss, or homeostasis model assessment of beta-cell function values did not differ significantly between enavogliflozin and dapagliflozin. Adverse events were similar between both drugs.ConclusionsThe glucose-lowering efficacy of enavogliflozin is superior to that of dapagliflozin in patients with type 2 diabetes mellitus with mild renal function impairment; this is attributed to its potent urinary glucose excretion-promoting ability. The emergence of new and potent SGLT-2 inhibitors is considered an attractive option for patients with inadequate glycemic control and decreased renal function.Trial registrationNot applicable (pooled analysis).

Efficacy of a vaginal suppository formulation prepared with Acacia arabica (Lam.) Willd. gum and Cinnamomum camphora (L.) J. Presl. in heavy menstrual bleeding analyzed using a machine learning technique.

Objective: This study aims to determine the efficacy of the Acacia arabica (Lam.) Willd. and Cinnamomum camphora (L.) J. Presl. vaginal suppository in addressing heavy menstrual bleeding (HMB) and their impact on participants' health-related quality of life (HRQoL) analyzed using machine learning algorithms. Method: A total of 62 participants were enrolled in a double-dummy, single-center study. They were randomly assigned to either the suppository group (SG), receiving a formulation prepared with Acacia arabica gum (Gond Babul) and camphor from Cinnamomum camphora (Kafoor) through two vaginal suppositories (each weighing 3,500mg) for 7days at bedtime along with oral placebo capsules, or the tranexamic group (TG), receiving oral tranexamic acid (500mg) twice a day for 5 days and two placebo vaginal suppositories during menstruation at bedtime for three consecutive menstrual cycles. The primary outcome was the pictorial blood loss assessment chart (PBLAC) for HMB, and secondary outcomes included hemoglobin level and SF-36 HRQoL questionnaire scores. Additionally, machine learning algorithms such as k-nearest neighbor (KNN), AdaBoost (AB), naive Bayes (NB), and random forest (RF) classifiers were employed for analysis. Results: In the SG and TG, the mean PBLAC score decreased from 635.322 ± 504.23 to 67.70 ± 22.37 and 512.93 ± 283.57 to 97.96 ± 39.25, respectively, at post-intervention (TF3), demonstrating a statistically significant difference (p < 0.001). A higher percentage of participants in the SG achieved normal menstrual blood loss compared to the TG (93.5% vs 74.2%). The SG showed a considerable improvement in total SF-36 scores (73.56%) compared to the TG (65.65%), with a statistically significant difference (p < 0.001). Additionally, no serious adverse events were reported in either group. Notably, machine learning algorithms, particularly AB and KNN, demonstrated the highest accuracy within cross-validation models for both primary and secondary outcomes. Conclusion: The A. arabica and C. camphora vaginal suppository is effective, cost-effective, and safe in controlling HMB. This botanical vaginal suppository provides a novel and innovative alternative to traditional interventions, demonstrating promise as an effective management approach for HMB.

Recent warming trends of the Greenland ice sheet documented by historical firn and ice temperature observations and machine learning

Abstract. Surface melt on the Greenland ice sheet has been increasing in intensity and extent over the last decades due to Arctic atmospheric warming. Surface melt depends on the surface energy balance, which includes the atmospheric forcing but also the thermal budget of the snow, firn and ice near the ice sheet surface. The temperature of the ice sheet subsurface has been used as an indicator of the thermal state of the ice sheet's surface. Here, we present a compilation of 4612 measurements of firn and ice temperature at 10 m below the surface (T10 m) across the ice sheet, spanning from 1912 to 2022. The measurements are either instantaneous or monthly averages. We train an artificial neural network model (ANN) on 4597 of these point observations, weighted by their relative representativity, and use it to reconstruct T10 m over the entire Greenland ice sheet for the period 1950–2022 at a monthly timescale. We use 10-year averages and mean annual values of air temperature and snowfall from the ERA5 reanalysis dataset as model input. The ANN indicates a Greenland-wide positive trend of T10 m at 0.2 ∘C per decade during the 1950–2022 period, with a cooling during 1950–1985 (−0.4 ∘C per decade) followed by a warming during 1985–2022 (+0.7 ∘ per decade). Regional climate models HIRHAM5, RACMO2.3p2 and MARv3.12 show mixed results compared to the observational T10 m dataset, with mean differences ranging from −0.4 ∘C (HIRHAM) to 1.2 ∘C (MAR) and root mean squared differences ranging from 2.8 ∘C (HIRHAM) to 4.7 ∘C (MAR). The observation-based ANN also reveals an underestimation of the subsurface warming trends in climate models for the bare-ice and dry-snow areas. The subsurface warming brings the Greenland ice sheet surface closer to the melting point, reducing the amount of energy input required for melting. Our compilation documents the response of the ice sheet subsurface to atmospheric warming and will enable further improvements of models used for ice sheet mass loss assessment and reduce the uncertainty in projections.

Navigating Power Paths: Assessing Line Losses in the IEEE 14-Bus System amidst Electric Vehicle and Renewable Energy Integration

Purpose: This study thoroughly investigates the impacts of Electric Vehicles (EVs) and Renewable Energy Sources (RES) on line losses within the IEEE 14-Bus System, with a particular emphasis on addressing challenges and optimizing power system planning. The primary purpose of this study is to assess and understand the intricate relationships between EVs, RES, and line losses within the IEEE 14-Bus System. The research aims to provide insights that contribute to the development of tailored strategies in power system planning, addressing challenges posed by EV adoption and RES integration. By exploring the impact on grid efficiency, sustainability, and reliability, the study aims to guide future power system planners in optimizing the integration of EVs and RES.&#x0D; Materials and Methods: The study utilizes load flow analysis, specifically the Newton-Raphson method, to model and simulate scenarios reflecting EV charging and discharging dynamics alongside intermittent RES integration within the IEEE 14-Bus System. A 24-hour dynamic load flow analysis is conducted to capture the diverse and dynamic impacts under varying load conditions. This comprehensive approach allows for a detailed assessment of line losses in the presence of EVs and RES.&#x0D; Findings: The study reveals nuanced impacts, indicating higher EV adoption and increased RES integration result in notable escalations in line losses. This highlights challenges associated with grid efficiency, emphasizing the need for tailored strategies in power system planning.&#x0D; Implications to Theory, Practice and Policy: The study advances theoretical understanding of dynamic interactions between EVs, RES, and power systems. In practice, it underscores the importance of adaptive control mechanisms and optimized strategies for accommodating EVs and RES while minimizing line losses. On a policy level, the findings suggest the need for regulatory frameworks incentivizing sustainable energy practices and technological research to mitigate challenges posed by EV adoption and RES integration.

Investigation of Error Margin of Some Path Loss Models Over Digital Terrestrial Television Channel in Katsina Metropolis

Due to rapid development in mobile communication technology in recent times, strong signal coverage has become a major necessity. However, path loss is one of the major challenges against strong signal coverage. Several path loss models have been developed for predicting wireless signal coverage for urban, sub-urban and rural areas. However, the need to investigate which model can best predict losses in an environment becomes necessary. This work is aimed at comparing the Error Margin of some Path loss Models over Digital Terrestrial Television (DTTV) channel using the Star Times DTTV Channel within Katsina metropolis. Seven path loss predicting models for outdoor macro cell wireless communication were used. They are; Free Space model, COST-231 model, (developed by the European Union Co-operative for Scientific and Technical Research Team) Hata - Okurmura model, Plane Earth model, Okumura model, Ericson model and ECC model. The measurement campaigns were in two seasons, the wet season was in August and dry season in November, 2021. Both measured and predicted path loss values were computed using empirical models. Statistical error analysis based on the RMSE was carried out to determine the error margins between measured and predicted values. Based on the result of path loss assessment and error analysis, COST-231 with the lowest RMSE value of 13.49 dB which is within the acceptable range for sub-urban city is the most preferred amongst the investigated models for path loss prediction over digital UHF channel in Katsina city

A novel macroeconomic modelling assessment of food loss and waste in the EU: An application to the sustainable development goal of halving household food waste

As part of a package of measures to alleviate pressures on our planetary boundaries, the European Union farm-to-fork strategy adopts target 12.3 of the sustainable development goals, with the aim of halving food waste by 2030. A quantification of medium-term changes in food loss and waste (FLW) by both food supply chain stage and member state, as well as the cradle-to-grave market impacts from proposed reductions, requires a suitably tailored simulation model. A systems wide approach (MAGNET) with a novel characterisation of FLW behaviour is employed and linked to recent detailed Eurostat FLW estimates. In addition to business-as-usual baseline estimates of FLW to 2030, a scenario assesses the sustainability and circularity impacts from halving food waste via waste behaviour taxes. From 2020 to 2030, baseline EU average per capita FLW grows less than anticipated due to changing household consumption patterns in the newer EU member states. Similarly, by 2030 the share of food losses in total FLW appears to grow. Compared with the baseline in 2030, halving household food waste reduces EU FLW by 17.5 million tonnes. Despite the introduction of targeted food waste behaviour taxes, the average relative EU food price still falls by 2 %. In addition, lower levels of EU emissions- and land leakage are reported, whilst the reduction in bio-waste streams for fertiliser does not incur higher fossil fertiliser uptake due to falling EU crop production. Concluding, the rising projected share of food losses in the baseline signals a need for reinforced stakeholder communication and coordination strategies which are receiving less attention than consumer behaviour, hindering efficient responses to mitigate FLW. Finally, to increase the social acceptance of waste behaviour taxes and mitigate anticipated losses to EU farmers, a policy of channelling tax proceeds to supporting incomes and employment retraining schemes should be publicly visible.

Uncertainties in measuring precipitation hinders precise evaluation of loss of diversity in biomes and ecotones

Assessing changes in the distribution of biological communities that share a climate (biomes) is essential for estimating their vulnerability to climate change. We use CMIP6 climate models to calculate biome changes as featuring in classifications such as Holdridge’s Life Zones (climate envelopes). We found that transitional zones between biomes (known as ecotones) are expected to decline under all climate change scenarios, but also that model consensus remains low. Accurate assessments of diversity loss are limited to certain areas of the globe, while model consensus is still poor for half of the planet. We identify where there are robust estimates of changes in biomes and ecotones, and where consensus is lacking. We argue that caution should be exercised in measuring biodiversity loss in the latter, but that greater confidence can be placed in the former. We find that shortcomings in the life zone classification are related to inter-model variability, which ultimately depends on a larger problem, namely the accurate estimation of precipitation compared to CRU. Application of the methodology to other climate classifications confirms the findings.

Emollients with natural emulsifier Olivem 1000 as topical formulations for urea or sodium hyaluronate

Xerosis is one of the common dermatological problems. Preparations recommended for daily care of the dry skin are emollients. Emollient preparations demonstrate a moisturizing effect, they soften and smoothen the skin, keep water in the epidermis, supplement lipids of skin upper layers and protect from external harmful agents. The purpose of this study was to develop and characterize emollients containing natural emulsifier Olivem 1000 as topical delivery systems for urea or sodium hialuronate. Physicochemical and mechanical properties of designed formulations were evaluated. Moreover, ex vivo adhesion study on the hairless mice skin as a model of adhesive layer was carried out and in vivo preliminary assessment of transepidermal water loss (TEWL) was performed. Prepared emollient formulations were characterized by smooth consistency, they were easily spreadable on the skin surface and showed no phase separation. Formulations containing xanthan gum as a thickening agent were characterized by higher viscosity, hardness, cohesiveness and adhesiveness values. Prepared emollients showed thixotropic properties and they were classified as non-Newtonian shear thinning systems. All prepared emollients demonstrated bioadhesive properties. The analysis of TEWL showed that the greatest decrease in the TEWL value was noted in the case of emollient containing sodium hyaluronate which was applied to the person with the skin described as “the skin in a very poor condition”. The results of the conducted research indicate that developed emollients containing natural emulsifier Olivem 1000 seem to be a promising form of care preparations for topical use in case of chronic dryness of the skin.

Comparing visual estimation and hematocrit change in the assessment of blood loss among women undergoing cesarean delivery in a tertiary facility in northern Uganda.

Cesarean section poses a fourfold risk for postpartum hemorrhage (PPH), necessitating accurate blood loss estimation to enable timely interventions. However, the conventional visual estimation method often leads to underestimation, resulting in undiagnosed PPH even in our setting, Uganda. Yet, the quantitative standard techniques remain underutilized. We compared visual and calculated blood loss among women undergoing cesarean delivery at Gulu Regional Referral Hospital in northern Uganda. We employed a cross-sectional study design. We enrolled pregnant women scheduled for cesarean section and determined both calculated and visually estimated blood loss. Data analysis involved using Pearson's moment correlation coefficient to compare the two methods and logistic regression to determine the factors associated with PPH. We included 105 participants, most were primigravida (n = 100, 43%), aged 15-24 years (n = 100, 52%), with term gestation (n = 100, 75%). The mean visual estimated blood loss (vEBL) was 235.3 ± 123.7 ml (interquartile range (IQR) 50-600 ml), while the calculated estimated blood loss (cEBL) was 435.0 ± 1328.2 ml (IQR -11,182.1-2226.7 ml). Visual estimation underestimated blood loss in 90% of cases (n = 100), and 21% (n = 21) had undiagnosed PPH (>1000 ml blood loss). None of the respondents had PPH (>1000 ml blood loss) following vEBL. There was a small positive correlation between both methods (vEBL and cEBL; r = 0.1165; p = 0.2482). Women aged >35 years were 1.60 times more likely to experience PPH than their counterparts aged 25-34 years (adjusted odds ratio (AOR): 1.60; 95% CI: 1.11-2.30, p < 0.011). Chorioamnionitis increased the risk of PPH by 2.2 times (AOR: 2.20; 95% CI: 1.20-4.05, p < 0.012). The visual estimation technique significantly underestimated blood loss in up to 90% of cases, particularly during emergency cesarean sections. Among the 21% of cases diagnosed with PPH based on calculated blood loss, advanced maternal age and chorioamnionitis were notable contributing factors. Routine hemoglobin and hematocrit testing in obstetric care can be effectively utilized to objectively assess blood loss, aiding in the accurate diagnosis and management of PPH. Implementing these measures, even in resource-constrained settings, can significantly reduce the morbidity and mortality associated with PPH. Not applicable.

Incidence and Impact on Quality of Life of Heavy Menstrual Bleeding in Women on Oral Anticoagulant Therapy.

Heavy menstrual bleeding affects up to two thirds of women on oral anticoagulation. The rates of heavy menstrual bleeding, its impact on quality of life and associated risk factors in women attending anticoagulation clinics in South Africa are largely unknown. A prospective cohort study was performed over an eight-month period in women on Warfarin (n = 30) and Rivaroxaban (n = 27) for a median [interquartile range] duration of 15.5 [78.0] months attending an anticoagulation clinic in Johannesburg, South Africa. Heavy menstrual bleeding was assessed over one menstrual cycle using the validated pictorial blood loss assessment charts (PBAC) and the menstrual bleeding questionnaire (MBQ). In this population of predominantly African ethnicity, with a median age of 39 [8] years, 39 (68.4%) women experienced heavy menstrual bleeding, defined as a PBAC score of >100. Median cycle length on anticoagulation and MBQ scores were significantly higher among women with a PBAC score of >100 (p > 0.05). Univariate analysis identified Rivaroxaban as a risk factor for heavy menstrual bleeding (OR 5.03, 95% CI 1.40-18.12). Heavy menstrual bleeding required treatment in 29 (74.4%) women which included management of iron deficiency, anti-fibrinolytics, modification of anticoagulation and hormonal contraception. Heavy menstrual bleeding was associated with a considerable negative impact on quality of life. This was most significant for women on Rivaroxaban as compared to Warfarin. It is essential to monitor and appropriately treat heavy menstrual bleeding in at risk women on anticoagulant treatment.

Assessment of hair loss and skin changes during treatment in Asian breast cancer patients: A prospective cohort study.

With the increasing number of young breast cancer (BC) patients worldwide, concerns about hair loss and skin change persist among BC survivors. This study aimed to evaluate the hair loss and skin changes in Asian BC patients and to compare them according to the treatment regimens. This study enrolled 322 patients scheduled to undergo BC surgery. Hair loss and skin changes were assessed at the following two time points: one day before surgery and 6 months after surgery. Patients who had received systemic anticancer treatment before surgery were assigned to the neoadjuvant treatment group, while patients who were scheduled to receive systemic anticancer treatment were assigned to the adjuvant treatment group. In the adjuvant treatment group, patients with taxane-based chemotherapy had significantly higher odds of increased hair loss, a higher melanin index, and an increased volume of wrinkles (p < 0.0001, p = 0.0110, and p = 0.0371, respectively). In the neoadjuvant treatment group, hair loss was reversed in most patients at 6 months after surgery. Clinicians should inform BC patients about the potential for hair loss and skin changes and provide supportive care to mitigate the effects on the patients' quality of life.

Selecting and Interpreting Multiclass Loss and Accuracy Assessment Metrics for Classifications with Class Imbalance: Guidance and Best Practices

Evaluating classification accuracy is a key component of the training and validation stages of thematic map production, and the choice of metric has profound implications for both the success of the training process and the reliability of the final accuracy assessment. We explore key considerations in selecting and interpreting loss and assessment metrics in the context of data imbalance, which arises when the classes have unequal proportions within the dataset or landscape being mapped. The challenges involved in calculating single, integrated measures that summarize classification success, especially for datasets with considerable data imbalance, have led to much confusion in the literature. This confusion arises from a range of issues, including a lack of clarity over the redundancy of some accuracy measures, the importance of calculating final accuracy from population-based statistics, the effects of class imbalance on accuracy statistics, and the differing roles of accuracy measures when used for training and final evaluation. In order to characterize classification success at the class level, users typically generate averages from the class-based measures. These averages are sometimes generated at the macro-level, by taking averages of the individual-class statistics, or at the micro-level, by aggregating values within a confusion matrix, and then, calculating the statistic. We show that the micro-averaged producer’s accuracy (recall), user’s accuracy (precision), and F1-score, as well as weighted macro-averaged statistics where the class prevalences are used as weights, are all equivalent to each other and to the overall accuracy, and thus, are redundant and should be avoided. Our experiment, using a variety of loss metrics for training, suggests that the choice of loss metric is not as complex as it might appear to be, despite the range of choices available, which include cross-entropy (CE), weighted CE, and micro- and macro-Dice. The highest, or close to highest, accuracies in our experiments were obtained by using CE loss for models trained with balanced data, and for models trained with imbalanced data, the highest accuracies were obtained by using weighted CE loss. We recommend that, since weighted CE loss used with balanced training is equivalent to CE, weighted CE loss is a good all-round choice. Although Dice loss is commonly suggested as an alternative to CE loss when classes are imbalanced, micro-averaged Dice is similar to overall accuracy, and thus, is particularly poor for training with imbalanced data. Furthermore, although macro-Dice resulted in models with high accuracy when the training used balanced data, when the training used imbalanced data, the accuracies were lower than for weighted CE. In summary, the significance of this paper lies in its provision of readers with an overview of accuracy and loss metric terminology, insight regarding the redundancy of some measures, and guidance regarding best practices.

Methods for evaluation of corrosion rate on magnesium alloys: a review

The major drawback of some magnesium alloys is their low corrosion resistance. Therefore, the evaluation of corrosion resistance is a critical factor in developing new alloys and surface treatments. The techniques employed for the determination of corrosion rate include mass loss assessment, hydrogen evolution, potentiodynamic polarization, and electrochemical impedance spectroscopy (EIS). However, there are still difficulties in precisely estimating this parameter in Mg alloys. In this review, the reported applications, advantages, and disadvantages of the techniques mentioned above were analyzed. On the other hand, a large number of corrosion rate values reported for various Mg alloys in 3 different media (NaCl, Hanks´ solution and SBF), using mass loss, hydrogen evolution, and PP, were compared and analyzed. Generally, corrosion rates obtained from mass loss are higher than those obtained from hydrogen evolution. On the other hand, it is not possible to obtain correlations between corrosion rates obtained from PP and those obtained from mass loss and hydrogen evolution. Even more, dissimilar corrosion rate values are reported for the same alloy, implying that the measuring procedures are not well standardized.

Power Loss Assessment in Polymer and Ceramic Insulators due to Aging: An Experimental Study

The objective of this study is to analyze the influence of smog on polymer and ceramic insulators, which can lead to flashovers in the distribution network. An experimental chamber was designed to conduct an aging test on the insulators, where in the chamber was subjected to five different types of artificial environments, including rain, temperature, smog, and dust. The chamber was set to replicate the environmental conditions of a smoggy region based on the last five years data for all environmental factors, such as rain, temperature, humidity, smog, and dust. The accelerated aging test was conducted on 11KV-rated polymer and ceramic insulators. The polymer insulator developed contamination of 0.09 gm, while the ceramic insulator showed contamination of 0.13 gm. Furthermore, a leakage current test was performed on the aged insulators, which resulted in 37uA on the polymer insulator and 201uA on the ceramic insulator. The findings suggest that ceramic insulators are more susceptible to the adverse effects of a smoggy environment compared to polymer insulators. Thus, replacing ceramic insulators with polymer insulators in the distribution network not only reduce losses due to the leakage current but it also improve the cost of installation of new distribution networks that can improve the network’s reliability.