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It is essential to solve nonlinear equations in engineering, where accuracy and precision are critical. In this paper, a novel family of iterative methods for finding the simple roots of nonlinear equations based on multiplicative calculus is introduced. Based on theoretical research, a novel family of simple root-finding schemes based on multiplicative calculus has been devised, with a convergence order of seven. The symmetry in the pie graph of the convergence–divergence areas demonstrates that the method is stable and consistent when dealing with nonlinear engineering problems. An extensive examination of the numerical results of the engineering applications is presented in order to assess the effectiveness, stability, and consistency of the recently established method in comparison to current methods. The analysis includes the total number of functions and derivative evaluations per iteration, elapsed time, residual errors, local computational order of convergence, and error graphs, which demonstrate our method's better convergence behavior when compared to other approaches. [ABSTRACT FROM AUTHOR]

Tax collection with limited enforcement capacity may be consistent with both high- and low-delinquency regimes: high delinquency reduces the effectiveness of threats, thereby reinforcing high delinquency. We explore the practical challenges of unraveling the high-delinquency equilibrium using a mechanism design insight known as divide-and-conquer. Our preferred mechanism takes the form of prioritized iterative enforcement (PIE). Taxpayers are ranked using the ratio of expected collection to capacity use. Collection threats are issued in small batches to ensure high credibility and induce high compliance. Following repayments, liberated capacity is used to issue the next round of threats. In collaboration with a district of Lima, we experimentally assess PIE in a sample of 13,432 property taxpayers. The data validate and refine our theoretical framework. A semi-structural model suggests that keeping collection actions fixed, PIE would increase tax revenue by roughly 10%. [ABSTRACT FROM AUTHOR]

We study the design of negotiation strategies when a principal and agent must decide how to split a pie while the agent's outside option changes over time. The principal's optimal strategy under commitment demonstrates a new, but intuitive, set of negotiation dynamics. When the agent is tempted to leave, the principal gradually promises a larger share (decreasing demands) and more time to explore the outside option (decreasing pressure), illustrating a complementarity between these two tools. Although the principal's expected utility is decreasing in the outside option, his expected utility and demands are increasing in the outside option's drift and volatility. (JEL D63, D82, D86) [ABSTRACT FROM AUTHOR]

In this paper, we propose a physics-inspired contrastive learning paradigm for low-light enhancement, called PIE. PIE primarily addresses three issues: (i) To resolve the problem of existing learning-based methods often training a LLE model with strict pixel-correspondence image pairs, we eliminate the need for pixel-correspondence paired training data and instead train with unpaired images. (ii) To address the disregard for negative samples and the inadequacy of their generation in existing methods, we incorporate physics-inspired contrastive learning for LLE and design the Bag of Curves (BoC) method to generate more reasonable negative samples that closely adhere to the underlying physical imaging principle. (iii) To overcome the reliance on semantic ground truths in existing methods, we propose an unsupervised regional segmentation module, ensuring regional brightness consistency while eliminating the dependency on semantic ground truths. Overall, the proposed PIE can effectively learn from unpaired positive/negative samples and smoothly realize non-semantic regional enhancement, which is clearly different from existing LLE efforts. Besides the novel architecture of PIE, we explore the gain of PIE on downstream tasks such as semantic segmentation and face detection. Training on readily available open data and extensive experiments demonstrate that our method surpasses the state-of-the-art LLE models over six independent cross-scenes datasets. PIE runs fast with reasonable GFLOPs in test time, making it easy to use on mobile devices. Code available [ABSTRACT FROM AUTHOR]

Introduction Methods Results Conclusion Preliminary image evaluation (PIE) is a system where radiographers alert emergency department referrers to the presence or absence of abnormalities on acute extremity X‐ray examinations. PIE and similar systems have been utilised in the United Kingdom (UK) and Australia due to a shortage of radiologists to provide a timely report. As New Zealand (NZ) faces a similar shortage, PIE should be considered to address the negative impact this has on patients. The aim of this study was to determine the effect of regular feedback and education on radiographers' performance when detecting and describing acute abnormalities on extremity X‐ray examinations in ED.A prospective longitudinal study design was utilised for this study. The sensitivity, specificity, accuracy, and accuracy of PIEs performed by seven radiographers at a public provincial district in NZ were assessed over a 6‐month period, with the participants provided monthly results along with regular e‐mailed feedback on common errors.The mean for sensitivity, specificity, and accuracy calculated with a 95% confidence interval over the 6‐month period were 92.8% (89.9, 95.8), 94.9 (93.1, 96.8), and 94.2 (91.9, 96.5), respectively. When the month‐to‐month results were analysed, the results demonstrated an improvement in participants' sensitivity, specificity, and accuracy over the 6‐month period.The results of this study demonstrated that radiographers who participated in the study can perform PIE to a high standard that is comparable with the findings from international studies and demonstrated an improvement over 6 months. Therefore, PIE may be useful in NZ to aid ED clinicians in their clinical decisions when a radiology report is unavailable. [ABSTRACT FROM AUTHOR]

Introduction Methods Results Conclusion Despite a demonstrated high accuracy and reported successful implementations, radiographer preliminary image evaluation (PIE) has been slow and infrequent in its rollout across Australia. A key barrier reported to hamper radiographer PIE service implementation is lack of adequate time to review radiographs and provide an accurate interpretation. This study sought to conduct a correlational analysis between radiographer imaging workload and PIE service accuracy.A total of 45,373 exams and 1152 PIE comments evenly distributed each month from January 1, 2022, to December 31, 2022, were reviewed. PIE comments were assessed for consistency with the radiologist's report. The imaging workload (average exams completed per hour) was separated into three, eight‐hour ‘shifts’ based on time of imaging. Correlational analysis was performed using linear regression models and assessed for normality using the Shapiro‐Wilks test.The study reported no significant linear association between increasing average workload and reduced service accuracy (P = 0.136). It was however noted that when the average workload increased beyond 7 exams/hour, average service accuracy for PIE was always below 85%.This study has demonstrated that, although perceived, there is no statistically significant correlation between x‐ray imaging workload and radiographer PIE service accuracy. Consideration of this correlation to be a significant barrier to participation in such a service was not reported at this site. [ABSTRACT FROM AUTHOR]

Snack foods have experienced substantial growth in consumption globally, appealing to various age groups and becoming a significant segment of the food industry. The current investigation aimed to assess the nutritional, antioxidant, and sensory characteristics of an unconventional pie prepared from brown wheat flour(BWF), carob bean flour (CBF), onion, scallions, and roasted seaweeds. Chemical composition, minerals content, functional properties, total phenolics, total flavonoids, and antioxidants activity (DPPH), and phenolic profile of CBF, BWF, and binary combinations were evaluated. Five pies using different formulas (CGR0, CGR1, CGR2, CGR3, CGR4, and CGR5) were developed, where CGR0 serving as the control sample with 100% BWF. The other formulations (CGR1–CGR5) are binary combinations of BWF and CBF at various ratios (90:10, 80:20, 70:30, 60:40, and 50:50%). The onion pie samples were assayed for proximate composition, minerals, and sensory properties. CBF is rich in dietary fibers, with a content of 12.73%, substantial ash (4.79%), and carbohydrates (74.36%). Blending BWF with CBF significantly enhances the functional properties of the mixture, as indicated by improved WAC, AOC, EA, and FC compared to BWF. The addition of CBF into BWF in produced pie recipes led to significant increases in Fat, fiber, and ash. Additionally, substituting BWF with CBF in pie samples led to substantial decreases in carbohydrate content. The highest content of micro- and macro-elements was found in CGR5 samples, whereas the lowest was found in control samples CGR0. The results found that incorporating CBF into onion pie samples at levels between 10% to 40% can positively impact the sensory acceptability of the produced pie samples. [ABSTRACT FROM AUTHOR]

Saturated and trans fat intake have been linked to an increased risk of developing diseases such as cardiovascular and coronary heart disease, obesity, and myocardial infarction. As a result of the actions and regulations proposed to reduce and eliminate the content of saturated and trans fats, it is necessary to develop and implement new structuring technologies, such as oleogelation. Oleogelation is a promising strategy for structuring liquid oil, that allows the incorporation of vegetable oils rich in unsaturated fatty acids into food matrix and which can provide the functionality of solid fats and improved nutritional characteristics. The partial or total replacement of conventional fats with oleogels in pastry products is of great interest due to their larger consumption. In this research paper, the puff (jam-filled puff pastry) and tender pastries (bow tie cookies, cheese crackers, apple pie, and cookies) have been reformulated by totally replacing of conventional fats with oleogel and the structural behavior in the dynamics of the technological process was evaluated. The textural properties of oleogel were comparable to those of some conventional fats, but frequency sweep measurements showed that the oleogel formulated with refined sunflower oil and carnauba wax (10% w/w) had the highest storage modulus G' and loss modulus G" values when compared to conventional fats (commercial margarine, butter, a mixture of 73% margarine and 27% lard, and puff pastry margarine). The textural properties of oleogel (2.34 N and 2.30 mJ) were significantly different from those of puff pastry margarine (9.78 N and 21.73 mJ), but compared to other conventional fats, the values of hardness (1.42–2.70 N) and adhesiveness (4.40–5.17 mJ) were similar. For conventional and oleogel doughs the storage modulus (Gʹ) were higher than loss modulus (G″) and both increased with the applied frequency (Hz). In terms of the products textural profile, the prototypes formed with oleogel exhibited lower hardness values (2.37–15.64 N) than the conventional products (8.83–19.89 N), indicating the tenderizing effect produced by the oleogel. The fat losses determined during 14 days of storage showed a lower physical stability of the doughs and products formulated with oleogel, most probably due to the destabilization kinetics of the lipid system during the operations of the technological process. [ABSTRACT FROM AUTHOR]

Copyright of Slavistična Revija is the property of Slavisticno Drustvo Slovenije and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

PET/PA6, hollow, segmented-pie, microfiber nonwovens (PET/PA6 HSMNs) play an important role in a microfiber, synthetic leather base. Most of the current PET/PA6 HSMNs generally lack in hygiene performance. Moreover, there is an urgent need for the asymmetric wettability of PET/PA6 HSMNs to ensure the comfort of clothing. In this work, a novel, asymmetrically wettable, PET/PA6 HSMN with a gradient structure is proposed, which can regulate liquid adsorption and directional transport. An MOF-303 was successfully synthesized and loaded onto the PET/PA6 HSMN, which had been pre-treated with gradient hydrolysis under sulfuric acid. The droplet quickly permeated the modified PET/PA6 HSMN, and the droplet disappearance time decreased to 62.40 ms. The liquid strikethrough time of the modified PET/PA6 HSMN reached 5.16 s. The maximum adsorption capacity of the modified PET/PA6 HSMN was 68.161 mg/g, which was improved by 122.83%. In addition, the air permeability of the pre-treated PET/PA6 HSMN increased from 308.70 mm/s to 469.97 mm/s, with the sulfuric acid concentrations increasing from 0% to 20%, and the air permeability of the modified PET/PA6 HSMN decreased gradually from 247.37 mm/s to 161.50 mm/s. Furthermore, the tensile strength of the modified PET/PA6 HSMN treated with sulfuric acid and MOF-303 was also obviously enhanced compared with the PET/PA6 HSMN treated with pure sulfuric acid. This PET/PA6 HSMN, with asymmetric wettability, owing to its high hygiene performance and water transport capabilities, is promising and able to extend the application of a microfiber synthetic leather base for clothing. [ABSTRACT FROM AUTHOR]

Considering the problem of time scale differences among subsystems in the integrated energy system of a park, as well as the increasing complexity of the system structure and number of control variables, there may be a deep reinforcement learning (DRL) "curse of dimensionality" problem, which hinders the further improvement of economic benefits and energy utilization efficiency of park-level integrated energy systems (PIES). This article proposes a reinforcement learning optimization algorithm for comprehensive energy PPO (Proximal Policy Optimization) in industrial parks considering multiple time scales for energy management. First, PIES are divided into upper and lower layers, the first containing power and thermal systems, and the second containing gas systems. The upper and lower layers of energy management models are built based on the PPO; then, both layers formulate the energy management schemes of the power, thermal, and gas systems in a long (30 min) and short time scale (6 min). Through confirmatory and comparative experiments, it is shown that the proposed method can not only effectively overcome the curse of dimensionality in DRL algorithms during training but can also develop different energy system management plans for PIES on a differentiated time scale, improving the overall economic benefits of the system and reducing carbon emissions. [ABSTRACT FROM AUTHOR]

Copyright of Journal for Business, Economics & Ethics / Zeitschrift für Wirtschafts und Unternehmensethik is the property of Nomos Verlagsgesellschaft mbH & Co. KG and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Sugar content is an essential indicator for evaluating crisp pear quality and categorization, being used for fruit quality identification and market sales prediction. In this study, we paired a support vector machine (SVM) algorithm with genetic algorithm optimization to reliably estimate the sugar content in crisp pears. We evaluated the spectral data and actual sugar content in crisp pears, then applied three preprocessing methods to the spectral data: standard normal variable transformation (SNV), multivariate scattering correction (MSC), and convolution smoothing (SG). Support vector regression (SVR) models were built using processing approaches. According to the findings, the SVM model preprocessed with convolution smoothing (SG) was the most accurate, with a correlation coefficient 0.0742 higher than that of the raw spectral data. Based on this finding, we used competitive adaptive reweighting (CARS) and the continuous projection algorithm (SPA) to select key representative wavelengths from the spectral data. Finally, we used the retrieved characteristic wavelength data to create a support vector machine model (GASVR) that was genetically tuned. The correlation coefficient of the SG–GASVR model in the prediction set was higher by 0.0321 and the root mean square prediction error (RMSEP) was lower by 0.0267 compared with those of the SG–SVR model. The SG–CARS–GASVR model had the highest correlation coefficient, at 0.8992. In conclusion, the developed SG–CARS–GASVR model provides a reliable method for detecting the sugar content in crisp pear using hyperspectral technology, thereby increasing the accuracy and efficiency of the quality assessment of crisp pear. [ABSTRACT FROM AUTHOR]

Artykuł stanowi przegląd badań na temat społeczno-kulturowego obrazu psa. Autorka odnosząc się do nich, przedstawia różne sposoby postrzegania tego zwierzęcia zależne od czasów i rodzaju tekstu. W artykule uwzględniono opracowania dotyczące występowania psa w literaturze, filmie oraz tekstach użytkowych. Jak pokazała przeprowadzona przez autorkę analiza, istotny materiał w badaniach nad postrzeganiem tego zwierzęcia wyekscerpowano ze słowników zawierających katalog utrwalonych kulturowo związków frazeologicznych. Wartościowe okazały się także nowsze źródła, zwłaszcza internetowe. Prześledzenie różnorodnych opracowań na temat psa w wybranych tekstach pozwoliło na pokazanie, jak zmieniał się jego obraz, oraz wskazanie głównych czynników wpływających na te zmiany, a także sformułowanie prognoz dotyczących dalszych przeobrażeń w jego postrzeganiu.

The park-level integrated energy system (PIES) can realize the gradient utilization of energy and improve the efficiency of energy utilization through the coupling between multiple types of energy sub-networks. However, energy analysis and exergy analysis cannot be used to evaluate the economics of PIES. In addition, conflicts of interest among integrated energy suppliers make the economic scheduling of the PIES more difficult. In this paper, we propose a multi-objective collaborative game-based optimization method based on exergy economics, in which the introduction of exergy economics realizes the economic assessment of any link within the PIES, and the optimization model constructed based on the potential game solves the problem of conflict of interest among multiple energy suppliers and improves the benefits of each supplier. Finally, taking a PIES in Guangzhou as an example, the rationality of the optimization scheme proposed in this paper is demonstrated by comparing it with the classical optimization scheme. [ABSTRACT FROM AUTHOR]

Furry animals, such as dogs and cats, are permanently settled in our homes. Many people cannot imagine life without their favorite pet. Unfortunately, the appearance of animals in the human environment is associated with exposure to numerous allergens. Allergy to fur animals is currently a relatively common form of sensitization and affects both adults and children. The possibility of diagnosing sensitization to specific proteins that are found in animal secretions and knowledge about the biological role of these allergens allows patients to give more detailed and adequate recommendations. However, the correct interpretation of sensitization to allergen components is still a challenge for the clinician. In the first part of the review the allergens (accepted by the WHO/IUIS Allergen Nomenclature Committee) of dog, cat, guinea pig, jungle hamster, Syrian hamster, house mouse and rat were characterized. The review article presents a compendium of information about the known allergens, which, we hope, will prove useful in the daily work of an allergist. [ABSTRACT FROM AUTHOR]

Pie de Cuesta is a large landslide with a planar area of 1 km2 located in the Vítor district, in the Arequipa department (Peru), and constitutes an active phenomenon. It belongs to the rotational/translational type, which concerns cases that are very susceptible to reactivation because any change in the water content or removal of the lower part can lead to a new instability. In this context, a previous geological study has been decisive in recognizing the lithologies present and understanding their behavior when they are saturated. But it is also necessary to know the inner "landslide geometry" in order to gusset a geotechnical diagnosis. The present study shows how the deep electrical profiles (ERT, electrical resistivity tomography method), supported by two Vp seismic refraction tomography lines (SVP), have been used to create a 3D cognitive model that would allow the identification of the inner landslide structure: the 3D rupture surface, the volume of the sliding mass infiltration sectors or fractures, and the preferred runoff directions. Moreover, on large landsides, placing the geophysical profiles is a crucial aspect because it greatly depends on the accessibility of the area and the availability of the physical space required. In our case, we need to extend profiles up to 1100 m long in order to obtain data at greater depths since this landslide is approximately 200 m tall. Based on the geophysical results and geologic information, the 3D final model of the inner structure of this landslide is presented. Additionally, the main runoff water directions and the volume of 90.5 Hm3 of the sliding mass are also estimated. [ABSTRACT FROM AUTHOR]

The planetary infrared excess (PIE) technique has the potential to efficiently detect and characterize the thermal spectra of both transiting and non-transiting exoplanets. However, the technique has not been evaluated on multiplanet systems. We use the TRAPPIST-1 system as our test bed to evaluate PIE's ability to resolve multiple planets. We follow the unfolding discoveries in the TRAPPIST-1 system and examine the results from the PIE technique at every stage. We test the information gained from observations with JWST and next-generation infrared observatories like the proposed MIRECLE mission concept. We find that even in the case where only the star is known, the PIE technique would infer the presence of multiple planets in the system. The precise number inferred is dependent on the wavelength range of the observation and the noise level of the data. We also find that in such a tightly packed, multiplanet system such as TRAPPIST-1, the PIE technique struggles to constrain the semimajor axis beyond prior knowledge. Despite these drawbacks and the fact that JWST is less sensitive to the fluxes from planets g and h, with strong priors in their orbital parameters we are able to constrain their equilibrium temperatures. We conclude that the PIE technique may enable the discovery of unknown exoplanets around solar-neighborhood M dwarfs and could characterize known planets around them. [ABSTRACT FROM AUTHOR]