Efficient Test Research Articles

Neural post-Einsteinian framework for efficient theory-agnostic tests of general relativity with gravitational waves

Neural post-Einsteinian framework for efficient theory-agnostic tests of general relativity with gravitational waves

Development and characterization of enhanced urea through micronutrients and established technology addition

AbstractIt is necessary to increase the agronomic use efficiency of urea to reduce ammonia volatilization and increase crop yield. However, relying solely on urea for the enhanced efficiency technologies development could harm fertilizer integrity, resulting in reduced application quality and fertilizer storage time. The authors aimed at developing and characterizing the physical, chemical, and physicochemical quality of a novel enhanced efficiency fertilizers, synthesized from urea plus boron (B), zinc (Zn), nickel (Ni), or molybdenum (Mo) addition, with or without N‐(n‐butyl) thiophosphoric triamide (NBPT) associated. Hygroscopicity, hardness, salt index (SI), pH, and thermogravimetric decomposition were the parameters evaluated. Fertilizer quality was assessed through microscopic X‐ray fluorescence, microtomography, and scanning electron microscopy. Micronutrients were added by coating or granulation; they were homogeneously distributed over the fertilizer's granules. The fertilizers’ hardness increased up to 86% with Zn coated compared with uncoated. Granulated urea with B, Zn, Ni, or Mo had greater internal porosity, which resulted in lower hardness. Boron and Zn addition to the fertilizers increased the hygroscopicity in average 388% and 473%, respectively, compared with hygroscopicity observed for urea. Moreover, hygroscopicity was increased by an average of 56% with NBPT addition. Micronutrients addition to the urea granules increased the SI, while thermal decomposition stages of urea were unaffected by micronutrients addition. Enhanced efficiency fertilizers require characterization before agronomic efficiency tests due to changes in their physical, chemical, and physicochemical properties. Unfavorable changes could harm granules integrity and application efficiency in the field, resulting in economic losses to the industry and farmers.

Obtaining and Characterization of Experimental Diagnostic Brucellosis Rabbit Sera for the Development of a National Standard for Brucellosis Serum

Relevance. The production of brucellosis diagnosticums is currently being established in the medical and veterinary practice of the Republic of Uzbekistan. However, due to the lack of a national standard serum in the country and the high cost of analog standard serums on the market, problems may arise in the production of diagnostic tools. In addition, the lack of national standard serums causes problems in quality control of commercial and local antigens, hinders the development of local drugs – brucellosis diagnostics, which reduces the effectiveness of serological diagnosis of brucellosis in humans and animals. Given the above, it becomes necessary to develop and produce a standard serum with a high level of safety, which will improve the methods of laboratory diagnosis of various forms of brucellosis in patients and animals to identify hidden foci of infection in Uzbekistan. The aim of the study is to obtain and characterize experimental standard diagnostic brucellosis rabbit sera for the development of national and industry standard serum with appropriate titers. Materials and Methods. The experiments were carried out in full compliance with the European Council Directive 2010/63/EU on compliance with ethical principles in working with laboratory animals and the experiments were carried out on the basis of the methodological manual «Methods and rules of work» approved by the Ministry of Health of the Republic of Uzbekistan in 2016 with laboratory animals in experimental microbiological and immunological studies. To obtain positive standard sera against brucellosis pathogens, 12 rabbits weighing from 2.2 kg to 4.6 kg, aged 6 to 12 months, were used. The animals were kept under identical conditions on a standard vivarium diet. For the experiment, animals adapted to the conditions of the study were selected and kept in quarantine for 21 days. The maintenance and conduct of the studies followed international rules for the humane treatment of animals. Results and Discussion. During the evaluation of the heterologic specificity of the obtained sera for 23 collection and hospital strains, a weakly positive response (+) was observed in 16.7% of cases. Rabbit sera positive for heterologic specificity were adsorbed on suspensions of inactivated microorganisms (Citrobacter spp. and Enterobacteriaceae spp.) - no significant drop in titer was observed, and cross-agglutination was eliminated. A significant increase in the total protein level was noted after the first and fourth immunizations. Before the first immunization, the total protein level was 59.57 g/l, and after the fourth immunization, it increased threefold to 157.17 g/l. There was also an increase in albumin and globulin (33.2 g/L and 26.37 g/L, respectively) to 79.37 g/L and 77.43 g/L, respectively. IgM levels remained almost unchanged, increasing 3.5-fold after the second immunization and decreasing to 0.24 mg/ml after the fourth immunization. An increase in the level of IgG after the second and third immunizations was revealed, followed by a decrease after the fourth immunization. Conclusion. The obtained national and industry standard diagnostic polyvalent brucellosis sera, as well as the developed methods of laboratory control of its quality and efficiency testing will make it possible to produce candidate standard serum samples for agglutination reaction test and detection of Brucella strains. The obtained standard serum samples will be further used for control of the produced immunobiological diagnostic preparations and provision of unified requirements to their quality. The goal was achieved – improving the serological diagnosis of brucellosis, laying the foundation for further study and standardization of serum.

An Efficient Testing Procedure for High-Dimensional Mediators with FDR Control

An Efficient Testing Procedure for High-Dimensional Mediators with FDR Control

SUMER: A New Family of Lightweight and Traditional Block Ciphers with Multi-Modes

With the recent increase in the risks and attacks facing our daily lives and digital environment around us,the trend towards securing data has become inevitable. Block ciphers play a crucial role in modern crypto-applicationssuch as secure network storage and signatures and are used to safeguard sensitive information. The present paperdevelops a new variant of the symmetric model called SUMER family ciphers with three equivalent modes: lightweight,conventional (traditional), and extended ciphers. SUMER name belongs to one of the oldest civilizations inMesopotamia and stands for Secure Universal Model of Encryption Robust Cipher. The SUMER cipher is based on asimple and robust symmetric structure and involves solid algebraic theories that completely depend on the Galois FieldGF(28). SUMER cipher is designed to work with two involutional structures of the Substitution-Permutation Network(SPN) and Feistel structure. These two involutional structures mean that the same algorithm is used for the encryptionand decryption process, and only the algorithm of the ciphering key is used in reverse order in both structures. TheSUMER lightweight structure is an elegant mode that does not need building an S-Box that requires a large amount ofmemory and a number of electronic logical gates as S-Box construction has been canceled and replaced by the on-flycomputation clue, which does not need a reserved memory for building S-Box. SUMER family ciphers also can work ina traditional mode or as an extended mode with high margin security. This family of ciphers is applicable with multimodes of various utilizations. The proposed ciphers are designed to be byte-oriented, showing good evaluation andresults under several measurement tests for speed, time implementation, and efficiency.

Rapid hematocrit estimation using a fold-crease induced fast flowing paper sensor

Increased evaporative losses and flow obstructions can present substantial impediments to current paper analytical devices (µPADs) for efficient on-site testing of biological fluids. Strategic enhancements in wicking rates of paper may thereby counter these limitations and enable on-demand healthcare monitoring. Therefore, herein we have leveraged the features of paper fold-crease regions and developed a novel fast-flowing platform using laser printing to accelerate fluid flow through paper. A series of extensive experiments have been conducted to optimize the design and maximize wicking rates of µPADs for smaller liquid volumes, making it well-suited for analysing biofluids. The investigation delves into structural alterations within the creased regions, employing both static and dynamic force application strategies. A first-generation Washburn type model in excellent agreement with the experimental findings is developed, providing a comprehensive insight into the fundamental physics involved. Finally, the folded channels are utilized for a distance-based hematocrit sensor employing grade-1 filter paper at very low-cost, simplified fabrication, lesser sample volume and faster analysis. The findings of this work unveil a plethora of potentialities for employing paper and paper folds to develop affordable medical devices with advanced analytical functionalities, specifically tailored for the resource-constrained settings.

Research on microscopic wetting mechanism of talcum powder by compounded surfactant for spraying dust reduction

Adding surfactant is an effective method to improve the dust removal efficiency of talcum powder dust. Based on the optimization of surfactants, this paper proposed an efficient compound surfactant scheme by calculating interaction parameters, adsorption simulation, and wettability test experiments. Molecular dynamics simulation was used to analyze the interaction mechanism between compound surfactant and talcum powder. Tests of spraying talcum powder with compound surfactants under different pressures were carried out. The results show that the combination of anionic surfactants SDS and SDBS with nonionic surfactants Tween 80 and AEO9 has a positive synergistic effect. The better the wetting effect of the compound system, the more ordered the surfactant molecules are arranged. Meanwhile, the diffusion ability of water molecules is stronger, and the thickness of the solid-liquid interface is larger. The wetting effect of compound surfactant on talcum powder is mainly influenced by van der Waals force. The dust removal efficiency test shows that SDS-Tween 80 compound surfactant with a pressure of 1.5 MPa and molar ratio of 0.4:0.6 is the best spray dust removal scheme. The research results are helpful to guide the application of compound surfactants in talcum powder dust control.

Advancements in integrated robotic sensing: A European perspective

Robotic Non-destructive Testing and Sensing stands at the forefront of technological innovation, offering capabilities in assessing structural integrity, safety, and material quality across diverse industries. This comprehensive review article provides a detailed exploration of the field, focusing on the substantial contributions of European researchers and institutions. The need for non-destructive testing has been a constant in industries that rely on structural integrity, including aerospace, manufacturing, energy, construction, and healthcare. Traditional testing methods, such as radiography, ultrasonic testing, magnetic particle testing, and dye penetrant testing, have been integral for quality control and safety assurance. However, the robotisation of such methods has marked a profound shift, enabling precise, fast, efficient, and repeatable testing while minimising human exposure to hazardous environments. European researchers and institutions have played an instrumental role in driving the evolution of integrated robotic sensing. The historical perspective of the field reveals the pioneering spirit of Europe, as collaborative initiatives led to the development of robotic platforms equipped with advanced sensors and testing techniques. A critical aspect of the European impact on robotic inspection applications lies in developing advanced sensors, innovative robotic platforms, novel robotic path-planning and control approaches and data collection and visualisation tools. These developments continue to influence the global landscape of robotic sensing. European researchers remain at the forefront of current trends and innovations as the field continues to evolve. This review article will delve into these recent advancements, highlighting Europe’s pivotal role in pushing the boundaries of technology and application. The implications and applications of robotic sensing reverberate across multiple sectors worldwide. From inspecting critical aerospace components to ensuring the quality of manufactured goods, these technologies underpin safety and quality standards.

Wafer and chip-level characterization of edge-coupled photonic integrated circuits by cascaded grating couplers and spot-size converters

This study presents an efficient testing process for characterizing silicon photonic ICs. This process utilizes a coupling structure that integrates grating couplers and spot-size converters for efficient testing both at the chip and wafer levels, respectively. By leveraging wafer-level testing to estimate the characteristics of final chip-level devices, we anticipate a reduction in testing costs. To demonstrate the validity of the proposed testing process, we fabricated and measured silicon-on-insulator ring resonator devices on both wafer and chip levels. The results showed good agreement between the two levels of measurement, validating the effectiveness of our proposed testing process.

Construction framework of smart tourism big data mining model driven by blockchain technology

In the era of sharing economy, the tourism market is increasingly characterized by personalized demand, mobile consumption and product segmentation. This paper aims to apply big data mining technology in the field of smart tourism. Firstly, it focuses on image summary selection and collaborative filtering technology based on big data mining. It then demonstrates the integration of blockchain in smart tourism, emphasizing the use of decentralized structures and smart contracts to achieve data security and transparency, and describes the testing process of smart tourism platforms, including data preparation and platform operational efficiency testing. Finally, the research results of this paper are summarized, and the development potential and practical application value of smart tourism are demonstrated. The results show that in the smart tourism big data mining model, the minimum support for the data set is 10 % and 20 %, respectively. Moreover, with the increase of the number of nodes in the same data set, the running time decreases gradually. It can be seen that smart tourism big data mining has strong scalability.

One-step fabrication of a self-driven point-of-care chip by femtosecond laser direct writing and its application in cancer cell H2O2 detection via semiconductor-based SERS

Self-driven microfluidic systems have attracted significant attention and demonstrated great potential in the field of point-of-care (POC) testing due to their device simplicity, low power consumption, increased portability, and reduced sample consumption. To develop POC detection chips with diverse characteristics that meet different requirements, there is a strong demand for feasible strategies that enable easy operation and reduce processing time. Here, a one-step processing approach using femtosecond laser direct writing technology was proposed to fabricate a capillary-actuated POC microfluidic chip. The driving force of the chip is highly dependent on its surface wettability, which can be easily adjusted by changing the laser processing parameters. This POC microfluidic chip allowed for the detection of intracellular H2O2 through a catalytic reaction system that incorporated 5-aminosalicylic acid -sensitized colloidal TiO2 nanoparticles and horse radish peroxidase, with integrating semiconductor-based surface-enhanced Raman scattering (SERS) quantitative technique. The concentration of H2O2 was determined by the SERS signal of the catalytic products in the microfluidic chip, resulting in rapid detection with minimal sample consumption. Our method provides a simple, feasible, and alternative strategy for POC testing of H2O2, with a linear range of 10−2∼10−6 M and a limit of detection of 0.55 μM. This approach was successfully applied to rapid detection of intracellular H2O2 in MCF-7 breast cancer cells with high sensitivity and minimal sample consumption. Additionally, this study not only demonstrates the exceptional advantages of femtosecond laser processing technology in fabricating diverse microfluidic chips for various applications, but also presents an efficient POC testing strategy for detecting cell signaling molecules.

Analisis Pengaruh Mineral terhadap Nilai Kuat Tekan Batuan

To determine the mineral content and composition of a rock, a petrographic test is carried out using a thin section method. Petrographic test is known as an efficient test of time and energy with accurate results in obtaining the composition and mineral content of rocks. The Point Load test is an index test that has been widely used to predict the UCS value of a rock indirectly in the field. This is due to the simple test procedure, easy sample preparation and can be done in the field, so that the strength of the rock can be quickly known in the field before testing in the laboratory.

Tibial plateau fractures are associated with ligamentous and meniscal injuries. Preoperative evaluation of magnetic resonance imaging influences surgical treatment.

Tibial plateau fractures (TPFs) are usually associated with ligamentous or meniscal injuries that could remain misdiagnosed. An appropriate and early recognition may change the surgical management of these soft tissue injuries (STIs) that could be addressed concomitantly with TPF treatment. Magnetic resonance imaging (MRI) is an efficient diagnostic test to identify all associated STIs in TPFs. This study aims to analyze the MRI impact in identifying and guiding the STIs treatment in TPFs. This retrospective study included a consecutive series of 57 patients with TPFs treated between January 1st, 2022, and December 31st, 2022. All fracture patterns were classified according to the AO/OTA and Schatzker classification. The prevalence of STIs, including medial meniscus (MM), lateral meniscus (LM), anterior cruciate ligament (ACL), posterior cruciate ligament (PCL), medial collateral ligament (MCL), and lateral collateral ligament (LCL) injuries, was assessed through the MRI evaluation. A statistical significance was found regarding the MRI detection of LM, ACL, PCL and MCL injuries that led to additional surgical procedures at the same time as the TPFs treatment (p < 0.05). In contrast, the amount of additional MM and LCL injuries identified by MRI, which resulted in other surgical procedures, was not statistically significant (p > 0.05). Preoperative MRI has been demonstrated to be an effective procedure for diagnosing STIs in TPFs, significantly influencing and changing the surgical treatment. IV.

Comparing machine learning algorithms to predict vegetation fire detections in Pakistan

Vegetation fires have major impacts on the ecosystem and present a significant threat to human life. Vegetation fires consists of forest fires, cropland fires, and other vegetation fires in this study. Currently, there is a limited amount of research on the long-term prediction of vegetation fires in Pakistan. The exact effect of every factor on the frequency of vegetation fires remains unclear when using standard analysis. This research utilized the high proficiency of machine learning algorithms to combine data from several sources, including the MODIS Global Fire Atlas dataset, topographic, climatic conditions, and different vegetation types acquired between 2001 and 2022. We tested many algorithms and ultimately chose four models for formal data processing. Their selection was based on their performance metrics, such as accuracy, computational efficiency, and preliminary test results. The model’s logistic regression, a random forest, a support vector machine, and an eXtreme Gradient Boosting were used to identify and select the nine key factors of forest and cropland fires and, in the case of other vegetation, seven key factors that cause a fire in Pakistan. The findings indicated that the vegetation fire prediction models achieved prediction accuracies ranging from 78.7 to 87.5% for forest fires, 70.4 to 84.0% for cropland fires, and 66.6 to 83.1% for other vegetation. Additionally, the area under the curve (AUC) values ranged from 83.6 to 93.4% in forest fires, 72.6 to 90.6% in cropland fires, and 74.2 to 90.7% in other vegetation. The random forest model had the highest accuracy rate of 87.5% in forest fires, 84.0% in cropland fires, and 83.1% in other vegetation and also the highest AUC value of 93.4% in forest fires, 90.6% in cropland fires, and 90.7% in other vegetation, proving to be the most optimal performance model. The models provided predictive insights into specific conditions and regional susceptibilities to fire occurrences, adding significant value beyond the initial MODIS detection data. The maps generated to analyze Pakistan’s vegetation fire risk showed the geographical distribution of areas with high, moderate, and low vegetation fire risks, highlighting predictive risk assessments rather than historical fire detections.

A novel EPID-based MLC QA method with log files achieving submillimeter accuracy.

The purpose of this study is to develop an electronic portal imaging device-based multi-leaf collimator calibration procedure using log files. Picket fence fields with 2-14mm nominal strip widths were performed and normalized by open field. Normalized pixel intensity profiles along the direction of leaf motion for each leaf pair were taken. Three independent algorithms and an integration method derived from them were developed according to the valley value, valley area, full-width half-maximum (FWHM) of the profile, and the abutment width of the leaf pairs obtained from the log files. Three data processing schemes (Scheme A, Scheme B, and Scheme C) were performed based on different data processing methods. To test the usefulness and robustness of the algorithm, the known leaf position errors along the direction of perpendicular leaf motion via the treatment planning system were introduced in the picket fence field with nominal 5, 8, and 11mm. Algorithm tests were performed every 2weeks over 4 months. According to the log files, about 17.628% and 1.060% of the leaves had position errors beyond ±0.1 and ±0.2mm, respectively. The absolute position errors of the algorithm tests for different data schemes were 0.062±0.067 (Scheme A), 0.041±0.045 (Scheme B), and 0.037±0.043 (Scheme C). The absolute position errors of the algorithms developed by Scheme C were 0.054±0.063 (valley depth method), 0.040±0.038 (valley area method), 0.031±0.031 (FWHM method), and 0.021±0.024 (integrated method). For the efficiency and robustness test of the algorithm, the absolute position errors of the integration method of Scheme C were 0.020±0.024 (5mm), 0.024±0.026 (8mm), and 0.018±0.024 (11mm). Different data processing schemes could affect the accuracy of the developed algorithms. The integration method could integrate the benefits of each algorithm, which improved the level of robustness and accuracy of the algorithm. The integration method can perform multi-leaf collimator (MLC) quality assurance with an accuracy of 0.1mm. This method is simple, effective, robust, quantitative, and can detect a wide range of MLC leaf position errors.

Survey expectations and adjustments for multiple testing

Testing hypotheses regarding how individual survey respondents form their expectations is susceptible to the multiple testing problem. The probability of falsely rejecting the null hypothesis for one or more respondents will exceed the nominal single-hypothesis significance level. The Bonferroni correction and related approaches control the family-wise error rate, but are conservative and result in low power when the null hypotheses are false.We compare controlling the family-wise error rate with the effect of controlling the false discovery rate and the false discovery proportion, in terms of the conclusions we draw about forecaster behaviour.The effects of adjustments for multiple testing are investigated for tests of weak efficiency and the over-reaction hypothesis, for beliefs about the persistence of shocks to output growth, and for the accuracy of survey respondents’ perceptions of the uncertainty they face.

Challenges in non-destructive X-ray CT testing of riveted joints in the automotive industry

Despite recent advancements, contemporary laboratory-based industrial computed tomography (CT) technology has not yet achieved the status of an efficient and economically viable in situ non-destructive method for examining riveted joints that are commonly used in the automotive industry. 2D X-ray or 3D CT systems can only reliably assess a rivet joint’s condition in rare, and favorable circumstances. Moreover, a comprehensive analysis to identify the obstacles preventing CT from efficiently capturing high-resolution, and contrast-rich scans of riveted joints in general is lacking. This work delves into the challenges and limitations of the technology that prevent operators from reaching the desired precision required for rigorous quality control. The study specifically addresses questions concerning in situ reachability and positioning of the sample structure, radiodensity and beam hardening, the relationship between spot size and power, and economic feasibility—all within the context of analyzing riveted joints in the automotive industry. Additionally, we provide an abstracted overview of the current industrial X-ray tube market, which informs our discussion on these specific aspects. Through a combination of experimental findings, analytical insights, and deductions, we shed light on the persistent difficulties in achieving resolutions comparable to macro-sectioning and microscopy, which are currently considered the gold standard in examining riveted joints. Our investigation further explores the potential of a photon-counting detector paired with a conventional, laboratory-based X-ray source. Furthermore, we investigate the use of a synchrotron beamline as an X-ray source in conjunction with a custom-designed detector optimized for such beam geometries. This detector employs scintillators coupled with optical magnification, functioning similarly to an X-ray microscope. Our findings and data collection conclusively reveal that commercially available CT systems still fail to meet the requirements for efficient testing, underscoring the urgent need for further research and development to enable widespread implementation.

The Effect of Mixed Dye Composition of Anthocyanin-Chlorophyll on DSSC Efficiency on TiO2/ZnO Semiconductors

The effect of mixed dye composition of anthocyanin-chlorophyll on DSSC efficiency on TiO2/ZnO semiconductors aims to determine the effect of using dye containing anthocyanin-chlorophyll on the absorbance value and work efficiency value of Dye Sensitized Solar Cell (DSSC). The TiO2/ZnO was deposited using the doctor blade method and the dye was made using the maceration method. The counter electrode was made on FTO glass coated by calcined battery carbon with temperature in 450°C. The DSSC assembly was arranged in a sandwich shape. Then electrolyte is dripped in the middle of the DSSC layer. Characterization tests were carried out to determine the dye absorbance value and gap energy value using a UV-Vis spectrophotometer. DSSC efficiency testing uses current and voltage (I-V) characterization. DSSC testing was carried out using a multimeter with a light source from sunlight. The results of UV-Vis characterization showed that the highest absorbance value was obtained for the kale-mangosteen peel dye at a wavelength of 530 nm with an absorbance of 5.234%. The TiO2/ZnO gap energy obtained using the touch plot method is 2.42 eV. The highest efficiency value was obtained from the kale-mangosteen peel dye mixture of 0.0286%. There was an increase in the DSSC efficiency value when the dyes were combined.

Testing the weak-form efficiency of Arab stock markets after the COVID-19 pandemic

Weak-form efficiency means that stock prices should reflect all historical information and follow a random walk. This study examines the effect of the COVID-19 pandemic on the stock market weak-form efficiency of Arab countries, namely, Jordan, Lebanon, Kuwait, Morocco, Oman, Palestine, Bahrain, Egypt, Iraq, Qatar, Saudi Arabia, the United Arab Emirates, Syria, Tunisia, and Sudan. Daily data from July 1st, 2021 to November 12th, 2022 (370 trading days) are used to cover the period after starting the pandemic. The variance ratio and the runs test are used to test return predictability. The results show that the variance ratio values of Boursa Kuwait, the Egyptian Exchange, Tadawul, and the Amman Stock Exchange are statistically significant, indicating that their returns are unpredictable. In specific, the indices of these stock markets follow a random walk, and their price changes are independent. This is evidence that these stock markets are efficient at a weak level. In contrast, the insignificant values of the variance ratio indicate that returns are predictable in other Arab stock exchanges after the pandemic era. The findings of the Egyptian Exchange, Tadawul, and the Amman Stock Exchange are confirmed using the run test of weak-form efficiency. It reveals that the indices of these stock exchanges follow a random walk, while the indices of other Arab stock markets do not.

Neither Mergers nor Cartels: Innovation Networks and Competition Law

Abstract Organization theorists and innovation economists have been arguing for the past few decades that the locus of research and development activities has gradually moved away from vertically integrated firms to inter-firm alliances. In industries as diverse as construction and biotechnology, cooperation for innovation has given rise to collaborative forms of industrial organization varying from bilateral alliances to networks. Nonetheless, the EU competition law framework opens up limited space for inter-firm collaborations, cabined by the efficiency test of Article 101(3) TFEU and the requirements of the horizontal block exemption regulations. Building on this misfit, this article makes two contributions. First, a theoretical one, arguing that the law’s cautious approach to inter-firm collaboration is rooted in a binary vision of industrial organization which recognizes only firms and markets as modes of organizing production. Second, an explanatory one, showing how the 2023 Research &amp; Development Block Exemption Regulation falls short of facilitating inter-firm collaborations for innovation and proposing fine-tuning suggestions.