Processing Methods Research Articles

Multiple Upward Residual Gravity and Magnetic Maps to Estimate the Deep Crustal Layers and Moho Discontinuity in Eastern Iraq

The upward continuation technique was applied to the gravity and magnetic data to obtain the residual anomalies maps in eastern Iraq. A new processing method is introduced to calculate the crustal layers depending on the relation between the total range of the residual anomalies of gravity, magnetic data and the upward continuation, with multi-elevations. The significant relationship shows slope variations, which may reflect the maximum contrast in the physical properties (density and/or susceptibility) and the intersection point representing the depth of layer contacts. This method was applied to the eastern central part of Iraq, adjacent to the Iranian borders. It is found that the average depth range to the Jurassic formations, top basement rocks, transition layer (Curie point), and Moho discontinuity are 3.1- 4.8 km, 8-12.9 km, 20.9-22.4 km and 43.6 km, respectively. The Sedimentary cover in the study area ranges from 8 to 13 km. The maximum depth to the Moho discontinuity obtained by gravity data in the study area is 43.6 km. The radially average power spectrum technique was applied in the study area to calculate the gravity depth and magnetic sources' depth. Three depth levels of sources from gravity and magnetic data were obtained. These depths are shallow sources, average basement rock and deep sources (Moho) at 3km, 13.2-12.1 km, and 32.2-34km, respectively. The obtained results concerning the main layers in the crust were compared between the two methods, and the new method shows more reliable results. The detected depth levels refer to top Jurassic, basement rocks, and Moho discontinuity. The new method is believed to be used to detect the crustal layers depth with good results.

Brassica Vegetables - An Undervalued Nutritional Goldmine

Abstract The genus Brassica includes six species and over 15 types of vegetables that are widely cultivated and consumed globally. This group of vegetables is rich in bioactive compounds, including glucosinolates, vitamins (such as vitamin C, folate, tocopherol, and phylloquinone), carotenoids, phenols, and minerals, which are crucial for enriching diets and maintaining human health. However, the full extent of these phytonutrients and their significant health benefits remain to be fully elucidated. This review highlights the nutrient compositions and health advantages of Brassica vegetables and discusses the impacts of various processing methods on their nutritional value. Additionally, we discuss potential strategies for enhancing the nutrition of Brassica crops through agronomic biofortification, conventional breeding, and biotechnological or metabolic engineering approaches. This review lays the foundation for the nutritional improvement of Brassica crops.

Considerations and Challenges to Develop Drug-drug Coamorphous System: A Recent Update.

Poor water solubility of several drugs, especially BCS class II and IV drugs, restricts their dissolution and negatively affects oral absorption. Amorphization of drugs is a year-old approach to enhance solubility and dissolution of poorly water-soluble drugs. Polymeric amorphous systems have been proven effective but have disadvantages, such as low drug loading, high carrier content, etc. In a coamorphous system, a small molecule can be used as a coformer that keeps the amorphous form of a drug stable. In a drug-drug coamorphous system (CAS), one therapeutically active moiety can act as a coformer for the other drug. Although effective, the rationale of selecting the drugs and optimising the ratio without compromising therapeutic effect and safety is challenging. The preparation method is also a challenge because the stress during the processing method may result in the loss of crystallinity. Hence, the processing stability of the amorphous drug is a significant concern. A stable CAS is formed when two drugs generate some molecular-level interaction. In silico prediction of miscibility, molecular dynamic simulation, functional group analysis by Fourier Transform infrared spectroscopy, Raman spectroscopy, NMR, etc. contribute to the analysis of molecular-level interaction. Additionally, the article discusses the preparation method and the fact that the excipient must be selected carefully to form an effective CAS.

Research of the distribution symmetrical components in an electrical system with a diesel generator at an unsymmetrical load

Purpose. Investigation symmetrical components of current and voltage in microgrid elements with an autonomous synchronous generator of limited power, which works in parallel with a network transformer under the condition of non-metric load. Methodology. During the research, visual programming methods were used in the Simulink/Matlab package, methods of electrical engineering theory in terms of determining symmetrical component currents and voltages in observation branches, methods of synthesizing schemes for replacing elements of electric power systems for symmetrical component currents, methods of data processing and construction diagrams using specialized software tools.. Findings. As a result the analysis known studies, it was established that under the condition of researching low-power generating systems in conditions of asymmetry, insufficient attention is paid to the nature of the asymmetric load. Using the well-known structure of a microgrid, which includes a synchronous generator, a machine load, and an external network transformer, its model was built, in which, by introducing asymmetric loads of various types, a series of experiments was implemented with the registration of voltages and currents of forward, reverse, and zero sequences in the branches of the network. The analysis of the results obtained during the research established that the positive sequence voltage in the case of a change in the active load does not change its level, under the same circumstances, in the case of an active-capacitive and active-inductive load, the voltage change has the opposite character. In the case of increasing asymmetry of an active-inductive nature, the positive sequence voltage decreases, and in the case of an active-capacitive one, it increases. The specified changes in some cases exceed 3%. Positive sequence currents in the case of active load imbalance differ slightly. In the case of a positive sequence current of the transformer, its continuous growth is observed, which in the case of active-capacitive and active-inductive loads exceeds the active one by an average of 1.5 times. Negative sequence currents in the studied model, which are formed by an asymmetrical load, are completely closed to the transformer, causing zero-sequence voltages, and the nature asymmetrical load significantly affects the value of these currents, a 61% increase was noted. Originality. It was established that in a microgrid, which includes a synchronous generator, a machine load, a symmetrical active load of comparable power to the generator, an external network transformer, in addition to the fact of asymmetry caused by an asymmetrical load, the character of an asymmetrical load (active, active-inductive or active-capacitive). Practical value. In the case of using in microgrids devices that provide an increase in the quality of electrical energy, for example, symmetrical devices, it is necessary, in addition to the asymmetry factor, to take into account the natural load that causes the latter.

The Dawning Era of Anticancer Nanomedicines: From First Principles to Application of Silk Nanoparticles

AbstractThis review introduces nanomedicines and medical silks by addressing seminal and recent research within these fields. First, the successes of nanoparticles in improving the safety profiles and pharmacokinetic–pharmacodynamic properties are explored but also the concepts of threshold dosing and targeting of tumor‐associated macrophages. Current barriers to systemic delivery of nanomedicines are detailed and methods to overcome these barriers and increase tumor targeting are evaluated, namely: tuning the nanomedicine size and surface charge for enhanced tumor accumulation and penetration; non‐spherical nanomedicine morphologies for macrophage evasion and targeted delivery to endothelial cells; and, surface functionalization for stealth coatings and targeting receptor‐mediated endocytosis. The advantages of using silk as a nanomedicine with reference to its structure, composition, biological performance, and formulation are discussed. While batch methods for silk processing enable the formation of nano to microparticles, continuous technology can overcome bottlenecks of the deployed engineering methods such as low throughput and poor reproducibility. Finally, the chemical modification of silk using homogeneous and heterogenous chemistries is assessed within the nanomedicine context. Overall, this review covers silk nanomedicines from first principles to carrier design and on to areas of future development.

Research on Quality Evaluation of Climate Information Disclosure in Cement Industry

This paper discusses the current situation and framework of climate information disclosure through the review of domestic and foreign literature. Based on relevant international guidelines and Chinese policies and regulations, the evaluation system is constructed from four dimensions of governance, strategy, risk management, index and target report by using analytic hierarchy process (AHP) and content analysis method. Taking the content of climate-related information disclosure of Tianshan Stock in 2023 as an example, this paper studies the gap between domestic cement enterprises in their climate information disclosure and the global benchmark, and puts forward relevant countermeasures and suggestions to promote the improvement of the quality of climate information disclosure of listed companies in the cement industry.

Quality assessment of artisanal palm oil from smallholders in the department of Man, western region of Côte d'Ivoire

In the western region of Côte d'Ivoire, more particularly from the department of Man, artisanal crude palm oil enjoys a reputation for quality among consumers and is the subject of a developed trade. To guarantee consumers quality palm oil, it is crucial to register this product as a Geographical Indication artisanal palm oil. This study aims to evaluate the physicochemical properties of this artisanal palm oil to better understand his quality. A descriptive survey of palm oil processing was conducted among 200 smallholders in 10 localities in the department of Man, Western region of Côte d'Ivoire. Then, samples were collected from the producers and were taken to the laboratory for analysis. The physicochemical properties of CPO samples were determined using standard analytical method. The results showed that manual processing and screw hand press methods were used for palm oil extraction. About 58% of the processors have 11-20 years’ experience in oil palm processing and have no formal education (48.2%). Concerning the physicochemical quality of artisanal palm oil producing, the lipid oxidation, carotenoids contents, DOBI, slip melting point, iodine and saponification indexes were relatively conformed to the standard while FFA, moisture and impurities content were different. These results demonstrate a need for monitoring of artisanal palm oil production by smallholders in the sector who should adopt good agricultural practices.

Assessment of supply chain efficiency through a sustainable supply chain management strategy in the textile sector

The textile industry processes fiber into yarn or fabric. Problems often faced by textile companies are delays in raw materials, which result in the production and distribution of fabrics not reaching the target, so consumers are unsatisfied and switch to competing companies. In addition, solid waste from the production process is still disposed of, potentially polluting the environment. This study uses the Green Supply Chain Operation Reference (Green SCOR) approach to evaluate the performance of green supply chain management (GSCM) in textile companies located in Yogyakarta. The findings of this study could significantly impact the textile industry as they provide a comprehensive evaluation of GSCM performance. Twenty-two performance indicators have been validated using the Item-Content Validity Index (I-CVI) method and weighted using the Analytical Hierarchy Process (AHP) method. Based on the calculation results, the GSCM performance value is 60.208. Improvement recommendations are given for three indicators that need to be prioritized based on Importance Performance Analysis (IPA) matrix mapping and the actual condition of the company. Improvements can be made by using the Vacuum Flash Evaporation method so that recycled PVA can be reused, using natural materials or alternative auxiliary materials that are more environmentally friendly, increasing cooperation with companies engaged in processing weaving waste or textile waste appropriately and effectively, checking the concentration of starch solution not only when changing construction but every beam change, and forming a checklist form that is filled in for monitoring after machine settings and preparation of the production process.

Multisource Data-Driven Carbon Price Composite Forecasting Model: Based on Feature Selection and Multiscale Prediction Strategy

Accurate prediction of carbon trading prices is crucial for guiding investors to make informed decisions and assisting governments in formulating scientific carbon trading policies. This paper introduces a multisource data-driven carbon price composite forecasting model, aimed at enhancing prediction accuracy through advanced data processing and analysis methods. The model initially employs a secondary decomposition strategy, including Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and Variational Mode Decomposition (VMD) methods, to decompose the original data series into three sub-sequences of different frequencies. Subsequently, it utilizes the Partial Autocorrelation Function (PACF) and Random Forest algorithm for feature selection to determine the input variables for different frequency sequences and conducts in-depth analysis and selection of influencing factors, including unstructured data. Furthermore, the model employs a multiscale forecasting strategy, combining Particle Swarm Optimization (PSO) enhanced Bidirectional Long Short-Term Memory (BiLSTM) and Extreme Gradient Boosting (XGBoost) models, along with the Autoregressive Integrated Moving Average (ARIMA) method, to predict based on the characteristics of different frequency components. Finally, the forecasts are integrated using PSO-BiLSTM to form a comprehensive forecast. Notably, given the high correlation between the trend series and influencing factor variables, the model jointly predicts them. A case study based on the Guangdong carbon market in China demonstrates that the proposed composite forecasting model outperforms other benchmark models, with Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE) values of 0.4009, 0.2699, and 0.5183%, respectively. This forecasting model provides an effective tool for predicting and analyzing carbon price fluctuations, offering new insights for precise carbon market price predictions.

Active near‐infrared laser heterodyne system based on supercontinuum laser source for gas measurement

AbstractThe performance of an active near‐infrared laser heterodyne system using a supercontinuum light source as the light signal for trace species detection is experimentally demonstrated. The characteristics of the supercontinuum light source and the data processing methods used in heterodyne detection are described. The measurement of methane (CH₄) and carbon dioxide (CO₂) absorption spectra was carried out in the laboratory to evaluate the active laser heterodyne system, and high‐resolution absorption spectra of CO₂ and CH₄ were recorded simultaneously. The stability of the active laser heterodyne system is analyzed using Allan variance analysis of long‐term observation data. The active near‐infrared laser heterodyne detection system demonstrated in this paper has great potential for the development of industrial parks' gas monitoring.

Automatic Segmentation Model and Parameter Extraction Algorithm for Lightning Whistlers

AbstractBased on the magnetic field data recorded by the ZH‐1 electromagnetic satellite, we cerat a training set of 1,300 spectrograms containing the dispersion spectrum of lightning whistlers (LW). The Segment Anything Model (SAM) in the field of image segmentation is trained through the training set to obtain a fine‐tuned SAM model that can be used to detect and segment the dispersion spectrum of LW at pixel level. All track regions of LW are effectively separated from other non‐lightning whistlers regions in the spectrograms after being segmented by the model. The segmentation effect is excellent and detection accuracy is 96.89%, which is better than the previous segmentation model for LW based on ground station data. Then we apply the traditional image processing methods to extract the dispersion spectrum of LW one by one, and develop an algorithm to automatically extract the physical parameters of each LW. The root mean square error between the automatically extracted dispersion parameter and the manually extracted dispersion parameter is only 0.1654 s1/2. The model and algorithm studied in this paper are employed to analyze the dispersion of LW received by the ZH‐1 satellite over China. It is found that the whistlers dispersion received by satellites during summer in the northern hemisphere and summer in the southern hemisphere shows opposite trends with receiving latitude. Both trends can be explained by the relationship between the dispersion and the length of propagation paths of LW.

Determining the Suitable Location of Constructed Wetland for the Polluted River Water Treatment Based on Analytical Hierarchy Process and Geographic Information System Analysis

The Tukad Badung River is a vital raw water source in Denpasar City and Badung Regency. Concerning the water pollution of the river, water treatment is necessary to manage the water quality. Constructed wetlands are a water treatment technology used for water purification. In this regard, information is essential regarding the appropriate location for the placement of the constructed wetland based on criteria related to the water treatment plant. The research was conducted to determine the suitability level of water treatment locations in the watershed using the Analytic Hierarchy Process method in integration with a Geographic Information System. The Geographic Information System analysis included overlaying steps of the processed and classified data from each criterion: land use, slope, and water pollution index. The Analytic Hierarchy Process method was carried out to obtain the weight of each criterion down to the sub-criteria, which were compiled through interviews with three informants from academic, government, and community representatives. Weight calculations were performed using Expert Choice 11 software to obtain weight values with a consistency ratio of < 0.1. Geographic Information System analysis using the Analytic Hierarchy Process method produces three suitable land types according to the level of suitability for water treatment locations, with constructed wetlands located in the upstream, middle, and downstream parts of the river. Information regarding suitable land is useful for planning the technical design of water treatment plants with constructed wetlands.

Vinegar postbiotic solutions obtained from five red fruits processed using traditional methods exhibit different biochemical properties and antimicrobial and antioxidant effects

AbstractPomegranate, hawthorn, gilaburu, blackberry, and rosehip vinegar postbiotic solutions (VPS) were produced by traditional methods. The bioactive components of VPS, antioxidant capacity, antimicrobial activities, minimum inhibition concentration (MIC), and minimum bactericidal concentration (MBC) assays were determined. While rosehip VPS has the highest amount of lactic acid, phenolic and flavonoids, gilaburu VPS has the highest butyric acid. The highest antimicrobial activities were observed for hawthorn VPS on C. albicans and S. aureus, for gilaburu VPS on S. poona and S. aureus, for blackberry VPS on C. albicans mold and S. agalactiae, for pomegranate VPS on E. coli and S. agalactiae and for rosehip VPS on C. albicans and S. agalactiae. Moreover, the mortality values were reported as MBCs: hawthorn for S. aureus (94.6% at 0.03 mg mL−1) and S. paratyphii A (94.1% at 0.03 mg mL−1), gilaburu for S. aureus (93.4% at 0.06 mg mL−1) and P. aeruginosa (93.2% at 0.13 mg mL−1), rosehip for S. agalactiace and E. coli (93.7–91.7% at 0.06 mg mL−1), pomegranate for methicillin‐resistant S. aureus (96.0% at 0.5 mg mL−1), and blackberry for S. aureus (91.3% at 0.25 mg mL−1) and P. aeruginosa (92.1% at 0.13 mg mL−1), in addition to an equal mixture of the five VPSs for S. aureus and P. aeruginosa (85.6% at 0.06 mg mL−1). The MICs for VPS were generally found in a 0.5 mg mL−1dilution of each vinegar. Remarkably, common and local fruits can be rich sources of bioactive components without the need for imported products or expensive processing methods or equipment. This study demonstrated that rosehip VPS has the greatest potential as both a nutrient and a natural disinfectant.

Leveraging openCV and image processing for crime identification through facial recognition

To maintain the safety and security of communities, law enforcement agencies provide vital functions such as crime prevention and identification. Identifying people with a criminal record efficiently and accurately is one of the biggest hurdles in this field. This study delves into a fresh strategy for taking on this problem by making use of state-of-the-art image processing methods and machine learning algorithms. The project's main goal is to identify convicted felons by utilizing OpenCV, a robust open-source computer vision toolkit, and different facial recognition algorithms. By giving them a tool that guarantees a faster reaction rate and improved accuracy in suspect identification, the system is aimed to boost the capacities of law enforcement organizations. This project is based on the tenet of criminal psychology, which states that criminals are prone to committing new crimes. The system's goal is to detect and track repeat criminals both before and after they commit crimes by making use of this information. The method works by taking pictures of people who are known to be criminals and putting them in a database. From there, they can be compared to either live video streams or static photographs taken by surveillance cameras. In order to analyze and identify facial characteristics effectively, algorithms like LBPH and the Haar cascade classifier are also used. The system's robustness and efficiency are guaranteed by integrating these approaches into the OpenCV framework. This research makes a valuable contribution to the field of crime prevention by offering law enforcement authorities a dependable and scalable alternative. This system provides a streamlined interface for storing, retrieving, and matching facial photos. It was built using Python 3.5 and uses SQLite to manage the database of offenders' details. Proactively monitoring persons with a criminal record is made easier and faster with the suggested method. Suspect identification is also made easier. This research showcases the possibility of integrating machine learning and image processing to enhance public safety and crime prevention initiatives. It is an early step towards more complete video surveillance systems.

Potential Utilisation of Solar-Assisted Kiln Dryer in Bamboo Drying

Bamboo is increasingly used as an alternative material for producing renewable and environmentally friendly products. Bamboo should be dried before use to increase its stability and improve its resistance against biodeterioration agents. The most common drying method for bamboo is through air-drying. Alternatively, artificial drying, such as solar drying, can produce optimum drying results regarding the drying rate and quality of bamboo throughput. This study investigated the potential utilisation of solar drying methods for processing local bamboo. The drying characteristics and physical and mechanical properties of solar-dried Gigantochloa levis bamboo culms’ bottom, middle, and top sections were determined. The drying time of G. levis culm has been reduced to about 40 days compared to the conventional air drying of 70 days using the solar-assisted kiln dryer. Solar-dried culms have a lower final moisture content of 20% than air-dried ones. The average circumference and diameter shrinkage values of solar-dried G. levis culms from green to approximately 12% moisture content were 3.22% and 4.29%, respectively, and the wall thickness shrinkage was 8.12%. The mean values of modulus of rupture and modulus of elasticity of solar-dried G. levis culm were 63.75 and 12567.99 N mm-2, respectively, while its mean values of compression and shear parallel to fibre were 45.87 and 10.01 N mm-2, respectively. The quality of solar-dried G. levis culms produced in this study showed the viability of using a solar-assisted kiln-dryer as a potential alternative processing method for drying local bamboo species in Malaysia.

Impact of Tuber Section, Steeping Solution, and Concentration on Physicochemical Properties of Yam (Dioscorea rotundata) Flour

This study examined various factors such as Tuber Cutting (TC), Tuber Processing Method and Duration (TPM and TPD), Soaking Solution Type and Concentration (SST and SSC), as well as Parameter Analytical Temperature (PAT) on flour samples prepared from different parts of yam tubers.

Development of a GC-FID method for the analysis of fatty acids in palm olein to study the formation of C18:1 trans during deep discontinuous frying processes in El Salvador food industry.

An analytical method for the derivatization of fatty acids to methyl esters using basic catalysis with special emphasis on the identification of the different C18:1 trans isomers was developed and validated, showing excellent accuracy, precision and linearity. This method was employed to evaluate the degradation of palm olein during the deep discontinuous frying process of potatoes and bananas over 60 hours at different temperatures, simulating most habitual food processing methods used in El Salvador. It was observed that untreated oils already showed low levels of trans fatty acids (around 0.085%) although these products were marketed as if they did not contain any trans fats. As expected, the concentration of trans fatty acids in the oil increased throughout the deep-frying process, while contents in mono- and polyunsaturated fatty acids decreased. This degradation of the oil varied depending on the temperature and the amount of water of the product being cooked.

Measuring pore sizes of nonwoven geotextiles by X-ray CT images: a comparative evaluation

This paper focuses on evaluating the pore sizes of four nonwoven geotextile specimens with different pore size distribution techniques. The paper introduces a bubble analysis technique to find the two-dimensional (2D) pore size distribution of geotextile specimens. A new method is also introduced to determine the three-dimensional (3D) constriction sizes of nonwoven geotextiles from X-ray CT images. The digital image concept and image processing methods for the 2D image analysis and 3D constriction size measurement of geotextile specimens are explained. Finally, the paper compares the 3D constriction sizes with those measured from 2D image analysis, mercury intrusion porosimetry, manufacturer-reported opening size values based on the wet sieving method, and pore sizes calculated from theoretical equations. The results show that the largest pore opening sizes measured from the 3D constriction size method are in good agreement with the theoretical equations. The values measured from the wet sieving method were found to be the smallest, indicating the limitations of the wet sieving method to determine the largest pore opening size of nonwoven geotextiles. As it is the constriction size which must control filtration behaviour, the 3D constriction size method is recommended for assessing the reference porometry.

Effects of steeping on fungal contamination and diversity in achi (Barchystegia eurycoma) seeds sold in some selected markets in Lagos state, Nigeria

Achi (Brachystegia eurycoma) seeds are widely used as a thickening agent in traditional Nigerian cuisine. However, the processing methods used for achi seeds can lead to fungal contamination, posing considerable health risks to consumers. This study aims to investigate the effect of water steeping on fungal species contaminating achi seeds sold in some selected markets in Lagos, Nigeria. The achi seeds were steeped by soaking them in water at 37 °C for two days, and the moisture content was subsequently determined. The isolated fungal species were identified using both morphological and molecular techniques. Our findings show that the moisture content (37.82—51.64%) of the steeped achi seeds was higher than that of the unsteeped achi seeds (8.32—15.73%). Seven fungal species were recovered from the achi seeds, including six Aspergillus spp. (A. aculeatus, A. flavus, A. fumigatus, A. niger, A. japonicus, and A. oryzae), along with Rhizopus microsporus. Notably, the steeped samples were found to contain all the seven fungal species whereas the unsteeped achi were contaminated with just four fungal species, namely A. aculeatus, A. flavus, A. fumigatus, and A. niger. Additionally, the steeped achi seeds showed a higher fungal load (4.92 × 103—5.50 × 103 CFU/g) compared to the unsteeped samples (3.39 × 103—5.33 × 103 CFU/g). This current study indicates that steeping increases fungal contamination and diversity in achi seeds, raising concerns about food safety.

The Impact of Food Processing Flows and the Additive on The Nutritional Content and Values of Food

Food processing plays a pivotal role in influencing the nutritional content and value of food. Recent advancements in food processing techniques and the use of additives have led to substantial changes in nutrient levels and bioavailability, especially increasing the safety of food. This paper examines the dual impact of various food processing methods and additives on nutrient levels and bioavailability. Key processing methods such as thermal processing, cold processing, fermentation, drying are classified to primary and secondary processing and being explored for their effects on food nutrients. Furthermore, the role of additives, including natural substances like ascorbic acid, is also discussed in extending shelf life and improving flavor and appearance. Through a comprehensive review of existing literature, this study finds that while food processing can enhance certain aspects like safety and convenience, it can also lead to the loss of essential nutrients and the nutritional value. Besides, the study found that the loss of nutrients may focused on the preparation stage, which also called primary food processing. However, the increase of nutritional value and content may increase in the secondary food processing through the effort and rich experiment of human, like fermentation. The findings highlight the importance to distinguish the function and impact of various food processing methods to the food nutrition. Furthermore, it also emphasizes the need for balanced food processing approaches to optimize nutritional value while mitigating adverse effects on health.