Primary Process Research Articles

Scientific substantiation of complex extraction and processing of secondary resources for the development of alternative sources of energy

Scientific research on the integrated extraction and processing of secondary resources, such as mine water, technogenic waste, and others, in order to develop alternative energy sources in the diversification of coal mines is an urgent scientific task that will help solve the issues on the economic, social and environmental transformation of coal mining regions. In practice, it is necessary to consider several alternative options and assess the possibility of obtaining different end products from the targeted processing of secondary raw materials. The choice of a rational processing option to obtain the target product is very complicated due to the different composition of the feedstock, as well as a significant variety of primary processing methods and parameters of intermediate processes, which causes certain difficulties in forecasts and calculations. Developing a methodology for typifying actions when choosing options for integrated processing of recyclable materials of different states, defining the basic principles and its structure for comparative analysis of the input, intermediate, and output parameters in terms of composition, physical, chemical, and technological characteristics are urgent modern tasks.

The role of art education in personality development

The role of art education in personality development

Effects of Leukocyte-rich platelet-rich plasma and Leukocyte-poor platelet-rich plasma on cartilage in a rabbit osteoarthritis model.

Osteoarthritis is a prevalent chronic disease. One of its primary pathological processes involves the degeneration of articular cartilage. Platelet-rich plasma (PRP) contains cytokines and growth factors that can stimulate the repair and regeneration of articular cartilage tissues. PRP may also slow the progression of osteoarthritis. The purpose of this experiment is to compare the efficacy of Leukocyte poor (LP) - PRP and Leukocyte rich (LR) - PRP in treating rabbit osteoarthritis and to investigate their mechanisms of action. Analyzing the impact of leukocytes on PRP therapeutic effectiveness will provide a valuable clinical reference for the choice of which PRP is better for the treatment of osteoarthritis. A rabbit osteoarthritis model was established by injecting papain into the knee joint cavity, and LP-PRP and LR-PRP were prepared through different centrifugation methods for injection into the knee joint cavity. Eight weeks after injection, rabbit knee cartilage specimens were observed for gross changes, HE staining, senna O-solid green staining, and immunohistochemistry of type II collagen and were quantitatively compared using Pelletier's score, Mankin's pathology score, and ImageJ image processing software. Injection of papain into the knee joint cavity successfully established a rabbit model of osteoarthritis. All three evaluation indexes differed significantly from those of the blank group (P<0.05). LP-PRP and LR-PRP exhibited therapeutic effects when compared with the model group. The two PRP groups had similar gross tissue appearance and pathology (P>0.05). The LR-PRP group had higher collagen type-II expression (P < 0.05) than the LP-PRP group. Both LP-PRP and LR-PRP proved therapeutic for the rabbit papain osteoarthritis model. The difference in leukocyte content between the two groups did not yield different cartilage morphology or other factors by 8 weeks posttreatment. LR-PRP displayed the ability to release more factors relevant to the metabolism of type II collagen than LP-PRP, enabling the preservation of into cartilage collagen content of type II collagen and delaying osteoarthritis progression.

A Modern Interpretation of Cold-Heat Pattern in Traditional Medicine with a Focus on Thermo-Regulation

Cold-heat patterns (C-HPs) in Traditional East Asian Medicine are essential for individually diagnosing and treating patients. However, the concept of C-HPs and their biological mechanisms (thermoregulation) remains unclear. C-HPs studies published between January 2000 and May 2023 were retrieved from 5 databases (PubMed, Google Scholar, OASIS, Korean studies Information Service System, and Research Information Sharing Service). Among the 8,373 articles screened, 132 were included in the review and categorized. Nineteen articles were clinical studies related to traditional concept of C-HP identification, 14 studies investigated diseases affecting thermosensation or thermoregulation, and 99 studies identified candidate genes as potential markers for C-HP identification. Further analysis, including gene ontology, and gene set enrichment analysis of the candidate genes, revealed 3 primary biological processes closely associated with thermoregulation-related genes, including localization, responses to stimuli, and homeostatic processes. Notably there was a significant association between the candidate genes and inflammatory mediator regulation of transient receptor potential channels (&lt;i&gt;p&lt;/i&gt; &lt; 0.001). A significant association between C-HPs and inflammation-related pathways across thermosensation-related and thermoregulation-related clinical and preclinical studies was observed, suggesting that the traditional concept of C-HPs should be studied further from an immunological perspective.

ПРИДАТНІСТЬ СОЛОМИ ЛЬОНУ ОЛІЙНОГО ДЛЯ ПЕРЕРОБКИ НА ВОЛОКНО

Flax belongs to the few industrial crops, from which two types of products can be obtained simultaneously - seeds and fiber. Industrial processing of straw aimed at obtaining fiber can solve issues related to providing enterprises with domestic natural raw materials. The wide range of use of fibers from linseed stalks has contributed to a number of studies on the processing of linseed stalks. However, linseed oil straw has some disadvantages that limit its use and the development of new technologies for the primary processing of flax fiber. In order to obtain more profit from flax straw, producers need to know the quality of the straw, so the factors that affect its suitability for processing and processing methods that will increase the value for processors and producers need to be researched. The factors that affect the suitability of flax straw for processing are established: trash, weeds, plant height, fiber content, straw length and orientation, and transportation cost. It has been proven that it is necessary to choose varieties of linseed with a high fiber content and to focus on varieties with high stems and during mowing to use methods that will increase the height of flax straw in order to avoid the loss of the harvest of the technical part of the stem; increase sowing rates to increase fiber yield; control the density of crops and the height of the plant to manage the ratio of seeds and straw in accordance with production tasks; check crops for clogging and the presence of weeds. It is advisable to use devices to quickly obtain data on the fiber content in order to determine the suitability of straw for processing, so it is promising to conduct further research in this direction.

Influence of perceived social support on detection of social norm violation: evidence from N1 and N400.

The perceived social support individuals receive from their others plays a crucial role in shaping conformity with social norms. However, the specific mechanism underlying perceived social support and the detection of social norms remains unclear. In this study, college students with high and low levels of perceived social support were asked to judge the appropriateness of stranger's behaviors (e.g., singing) in different situations (e.g., library). The participants' electroencephalography activities were analyzed aiming to uncover the neural mechanism underlying how perceived social support influences the detection of others' normative behavior. The ERP results indicate that, for individuals with a lower level of perceived social support, larger amplitudes of the N1 component (related to primary processing) and the N400 component (related to cognitive conflict) were observed when detecting others' social norm violation compared to the conformity condition. However, for individuals with a higher level of perceived social support, no significant differences were found in detecting others' conformity or violation of social norms. The results indicate that, when the perceived social support level of the individual is low, detecting others' social norm violation elicits deeper primary processing and stronger cognitive conflict compared to conformity condition.

Transient receptor potential (TRP) channels in Sebastes schlegelii: Genome-wide identification and ThermoTRP expression analysis under high-temperature

Transient Receptor Potential (TRP) channels, essential for sensing environmental stimuli, are widely distributed. Among them, thermosensory TRP channels play a crucial role in temperature sensing and regulation. Sebastes schlegelii, a significant aquatic economic species, exhibits sensitivity to temperature across multiple aspects. In this study, we identified 18 SsTRP proteins using whole-genome scanning. Motif analysis revealed motif 2 in all TRP proteins, with conserved motifs in subfamilies. TRP-related domains, anchored repeats, and ion-transmembrane domains were found. Chromosome analysis showed 18 TRP genes on 11 chromosomes and a scaffold. Phylogenetics classified SsTRPs into four subfamilies: TRPM, TRPA, TRPV, and TRPC. In diverse organisms, four monophyletic subfamilies were identified. Additionally, we identified key TRP genes with significantly upregulated transcription levels under short-term (30 min) and long-term (3 days) exposure at 24 °C (optimal elevated temperature) and 27 °C (critical high temperature). We propose that genes upregulated at 30 min may be involved in the primary response process of temperature sensing, while genes upregulated at 3 days may participate in the secondary response process of temperature perception. This study lays the foundation for understanding the regulatory mechanisms of TRPs responses to environmental stimuli in S. schlegelii and other fishes.

Lean Manufacturing Analysis to Minimize Waste on The Production Process

Improvements to eliminate or reduce non-value added activities that cause waste with Lean Manufacturing analysis on CV ABC. Lean Manufacturing is a continuous effort to eliminate (waste) and increase value add (value added) products (goods/services) to provide value to customers (customer value). Objective This research is to determine the factors that cause waste in the production process and to give proposal on company method minimize waste which has been identified. Data in this research are quantitative and qualitative data. Primary data processing in the form of standard time calculations took 30 data, which means 30 batches of fish roulade production. Lean Manufacturing Approach carried out by analyzing the flow of information and the flow of goods using the Value Stream Mapping method. Waste Which dominant happen that is time waiting, unnecessary movements and processes it is not in accordance with. Waste of time waiting occurs in process steaming. Waste time wait on process production can be minimized by adding production facilities which can reduce the dough waiting outside the machine steaming. Waste movement which no need can minimized by increased supervision from superiors as well as providing firm action to workers. Waste for non-compliant processes can be reduced by clarify standard operation Which applies in company and stick it in every production process, as well do maintenance machine in a way regular so that performance machine always deep conditions which good. Reduced time to reduce lead time ie amounting to 37.78 minutes. This time is obtained from subtraction the process of taking spices, weighing flour and vegetables as well as preparation and maximization activities process draining with addition facility. Matter this result change time leads time production from 674.44 minutes to 636.66 minutes.

Assessment of microwave drying for rapid and convenient analysis of medicinal plants for quality assurance.

The safety and quality of many medicinally important herbs are compromised since farmers and small organizations are involved in the cultivation, aggregation, and primary processing of these herbs. Such organizations often lack adequate quality control facilities. To improve the safety and quality of herbal products, simple, rapid, and affordable quality control systems are required. The aim of this study was to assess the suitability of microwave oven-drying for moisture content (MC) determination and sample preparation of herbs in small organizations. Microwave oven-drying (720 W) and convective oven-drying at 105°C for MC determination were compared. The effects of three different drying methods (microwave oven-drying, low-temperature convective drying, and freeze-drying) on in vitro antioxidant and polyphenol oxidase (PPO) activity were determined, similarity analysis was conducted using HPLC signature spectra, and validation was performed with LC-MS focusing on one herb. Microwave oven-drying at 720 W significantly reduced the drying time (from hours to minutes), whereas the spatial variationof temperature in convective ovens set at 105°C can cause about 10% underestimation of MC. Microwave oven-dryingshowed similar macro-properties like freeze-drying and higher extractability (10%-20%) and in vitro antioxidant capacity (33%-66%) and lower PPO activity compared to low-temperature convective drying. HPLC signature spectra revealed strongsimilarity ofsoluble components between freeze-dried and microwave oven-dried herbs. LC-MS analysis demonstrated more common compounds between freeze-driedand microwave oven-driedCentella asiatica extracts, whereas convective tray-dried samples had fewer compounds common with samples obtained by freeze-drying or microwave oven-drying. Microwave oven-drying is rapid (tens of min) and shows small batch-to-batch variation compared to oven-drying at 105°C. The in vitro antioxidant assays and signature spectra can be used for assessing the source and purity or quality of a specific herb variety.

Simulation and performance prediction of partially naturally fractured reservoirs under solution gas drive primary recovery and gas injection processes

The study presented in this paper has multiple objectives. First, a simulation model for partially naturally fractured reservoirs under solution gas drive is developed. The model considers the major key parameters controlling fluid flow in the reservoir, including fracture intensity and distribution, instantaneous gas/oil segregation due to vertical capillary continuity, gas/oil gravity drainage, and reinfiltration of the drained oil to the lower matrix. Once the model is well-established, it is used to study the reservoir performance under two recovery processes: primary depletion and gas injection. A detailed investigation of the sensitivity of the ultimate oil recovery to the fracture intensity, oil production rates, and gas injection rates is performed. The findings of this study indicate that the ultimate oil recovery of low-fracture intensity reservoirs subjected to the depletion drive process is insensitive to production rates. However, for moderate- to high-fracture intensity reservoirs and low production rates, the recovery increases with increasing fracture intensity. Conversely, for moderate- to high-fracture intensity reservoirs and high production rates, the recovery is not significantly affected. For the gas injection mechanism, it is found that the ultimate oil recovery is a function of both the fracture intensity and gas injection rate. Furthermore, three fracture intensity ranges are identified: low, medium, and high. For the low- and high-fracture intensity ranges, the recovery increases with increasing gas injection rates and fracture intensity. However, for the medium fracture intensity ranges, the recovery behaves differently. It increases at low gas injection rates and decreases at high injection rates as the fracture intensity increases. New equations relating the cumulative oil production to the production rates, gas injection rates, and fracture intensity are also presented.

Importance of abscisic acid and zeatin nucleosides for the nitrate-induced cadmium hyperaccumulation in Populus roots

The poplar root system efficiently accumulates cadmium (Cd), which is a heavy metal pollutant in soil. The regulatory effects of various forms of nitrogen on the absorption and accumulation of Cd in roots and the underlying mechanisms remain unclear. This study investigated the effects of diverse nitrogen forms on Cd accumulation in young poplar seedling roots. The 3 mM nitrate treatment resulted in the highest root Cd levels and root weights. Examinations of physiological parameters and hormone contents as well as an untargeted metabolomic analysis indicated that the nitrogen application influenced antioxidant systems, osmoregulation, nitrogen assimilation, primary metabolic processes, and hormone metabolism. The transcriptome sequencing analysis identified key genes encoding regulators of different processes. The Spearman correlation analysis and random forest modeling showed that the nitrate-induced Cd accumulation in young poplar seedling roots was associated with abscisic acid and zeatin riboside. According to the weighted gene co-expression network analysis, abscisic acid regulated diverse pathways, including those associated with glutathione metabolism, the tricarboxylic acid cycle, and amino acid synthesis, whereas zeatin riboside controlled pathways related to starch and sucrose metabolism, glycolysis, secondary metabolite synthesis, ascorbic acid and aldehyde metabolism, and arginine and proline metabolism. Hence, nitrate nitrogen significantly enhances the accumulation of Cd in poplar roots, with abscisic acid and zeatin riboside playing crucial roles in this process. The study findings may be useful for breeding Cd-hyperaccumulating varieties and for remediating Cd-polluted agricultural fields.

Sediment records and multi-media transfer and fate of polycyclic aromatic hydrocarbons in Dianchi Lake over the past 100 years

This study analyzed the fate and transfer of PAHs through multiple media in Dianchi Lake and the sediment records of polycyclic aromatic hydrocarbons (PAHs) in sediments. The model simulation results showed the simulated concentrations to be in good agreement with the measured values. The concentration and total amount of PAHs were the highest in the sediment, which is an important sink for PAHs in lake systems. The main transport direction of the PAHs in the three phases was from the atmosphere to the water to the sediment. Advection and emission inputs were the primary input pathways for PAHs in the atmosphere, and advection output was the main removal path. The main input sources pathways for PAHs in sediments was the sedimentation of particulate matter in water, with diffusion and degradation being the primary methods of removal. Advection and atmospheric dry and wet deposition were the main sources of PAHs in water, with particulate deposition being the primary removal process. The range of PAHs was 336–3520 ng/g in sediments in Dianchi Lake, with an average of 1569 ng/g, peaking in 2012. Among the predicted future PAH concentrations in the sediments under the five shared socioeconomic pathways (SSPs), the lowest PAH concentration was found under SSP3 from 2025 to 2035, whereas the lowest PAH concentration was found under SSP4 from 2035 to 2050. In the sustainable path of SSP1, although the concentration of PAH pollutants showed an increasing trend in the short term, the increase in PAHs concentration in sediments slowed in the long run.

URBAN WATER SECURITY PROTECTION: IDENTIFYING POLLUTION SOURCES IN JURU RIVER BASIN USING CHEMOMETRICS

The consumption of surface water is becoming increasingly significant as a main solution for Malaysia's issues with water supply, especially in urban areas. The study addresses the protection of urban water security by multivariate analysis, evaluating trends in the distribution of water quality parameters and identifies the primary sources and processes involved in water quality contamination in the Malaysian Juru River Basin. Conventional graphical and multivariate statistical methods HACA and PCA from chemometric techniques were used. The data collected in the Juru River was subjected to this investigation, which recorded 19 physical-chemical and microbiological characteristics at two sampling locations throughout the Juru River Basin. Consequently, the HACA was effectively split into the downstream and upstream areas. Six VFs are displayed by PCA in the high pollution source area (HPS), which represents 81.11% of the variance. The main cause of a decrease in water quality in the downstream areas of the Juru River Basin is anthropogenic pollution, or pollution caused by human activities. The study concludes by demonstrating how chemometric techniques can be used to identify significant details about their capacity to interpret complex data that determines the Juru River Basin's spatial and temporal variation in water quality distribution trends into MPS and HPS areas to ensure the urban water security protection.

Physical aging of a biodegradable alicyclic polymer: poly (pentamethylene trans-1,4-cyclohexanedicarboxylate)

Physical aging of poly (pentamethylene trans-1,4-cyclohexanedicarboxylate) (PPeCE), a biodegradable alicyclic polyester, was investigated using Fast Scanning Calorimetry (FSC), a recent calorimetric technique allowing to accelerate physical aging and study the associated relaxation processes at different aging temperatures in an experimentally-reasonable time scale. Different mechanisms were highlighted by varying the aging temperature on a temperature range of more than 60 °C. At aging temperatures well below the glass transition temperature, several relaxation mechanisms were evidenced, probably related to secondary relaxation processes (β relaxations). When the aging temperature approaches the glass transition temperature, the primary relaxation process (α relaxation) becomes predominant.

Quantitative analysis of sulfate formation from crop burning in Northeast China: Unveiling the primary processes and transboundary transport to South Korea

The substantial amount of pollutants produced by crop burning leads to particulate matter (PM2.5) formation through chemical reactions in the atmosphere. In this study, we quantitatively examined the characteristics of PM2.5 component concentration changes and the production mechanism of sulfate (SO42−) due to crop burning in China, during a period of high PM2.5 concentrations in South Korea. Crop burning emissions were obtained from the Fire INventory from NCAR (FINN), and simulations were conducted using the Community Multi-scale Air Quality (CMAQ) model. The concentrations of PM2.5, nitrate, ammonium, organic carbon, and elemental carbon caused by crop burning were the highest in Northeast China, while the SO42− concentration was higher in the Shandong Peninsula and the Yellow Sea. SO42− was mainly produced through the oxidation reaction by hydrogen peroxide (H2O2) (H2O2 + S(IV) = S(VI) + H2O) (1.44 μg/m3, 80.49%). H2O2 that contributed to SO42− production was primarily produced through the self-reaction of hydroperoxy radical (HO2). Moreover, HO2, which contributed to the production of H2O2, was mainly formed through the decomposition of peroxynitric acid (PNA), which is produced by nitric oxide (NOx) emissions from crop burning. SO42− in the Yellow Sea was reported to be predominantly produced by the oxidation of sulfur dioxide (SO2) by hydroxyl radical (OH) (OH + SO2 = SULF + HO2); however, our study suggests that the PNA formed by NOx emissions from crop burning could contribute to an increase in H2O2, which subsequently promotes SO42− production. The produced SO42− was then transported across the Yellow Sea, impacting the elevated PM2.5 concentrations in Jeju Island, a suburban area of South Korea. These findings demonstrate that the mechanisms of SO42− production by crop burning emissions differ from those of anthropogenic emissions.

Not so hidden anymore: Advances and challenges in understanding root growth under water deficits.

Limited water availability is a major environmental factor constraining plant development and crop yields. One of the prominent adaptations of plants to water deficits is the maintenance of root growth that enables sustained access to soil water. Despite early recognition of the adaptive significance of root growth maintenance under water deficits, progress in understanding has been hampered by the inherent complexity of root systems and their interactions with the soil environment. We highlight selected milestones in the understanding of root growth responses to water deficits, with emphasis on founding studies that have shaped current knowledge and set the stage for further investigation. We revisit the concept of integrated biophysical and metabolic regulation of plant growth and use this framework to review central growth-regulatory processes occurring within root growth zones under water stress at subcellular to organ scales. Key topics include the primary processes of modifications of cell wall-yielding properties and osmotic adjustment, as well as regulatory roles of abscisic acid and its interactions with other hormones. We include consideration of long-recognized responses for which detailed mechanistic understanding has been elusive until recently, for example hydrotropism, and identify gaps in knowledge, ongoing challenges, and opportunities for future research.

Genome-Wide Analysis of Aux/IAA Gene Family in Artemisia argyi: Identification, Phylogenetic Analysis, and Determination of Response to Various Phytohormones.

Artemisia argyi is a traditional herbal medicine plant, and its folium artemisia argyi is widely in demand due to moxibustion applications globally. The Auxin/indole-3-acetic acid (Aux/IAA, or IAA) gene family has critical roles in the primary auxin-response process, with extensive involvement in plant development and stresses, controlling various essential traits of plants. However, the systematic investigation of the Aux/IAA gene family in A. argyi remains limited. In this study, a total of 61 Aux/IAA genes were comprehensively identified and characterized. Gene structural analysis indicated that 46 Aux/IAA proteins contain the four typical domains, and 15 Aux/IAA proteins belong to non-canonical IAA proteins. Collinear prediction and phylogenetic relationship analyses suggested that Aux/IAA proteins were grouped into 13 distinct categories, and most Aux/IAA genes might experience gene loss during the tandem duplication process. Promoter cis-element investigation indicated that Aux/IAA promoters contain a variety of plant hormone response and stress response cis-elements. Protein interaction prediction analysis demonstrated that AaIAA26/29/7/34 proteins are possibly core members of the Aux/IAA family interaction. Expression analysis in roots and leaves via RNA-seq data indicated that the expression of some AaIAAs exhibited tissue-specific expression patterns, and some AaIAAs were involved in the regulation of salt and saline-alkali stresses. In addition, RT-qPCR results indicated that AaIAA genes have differential responses to auxin, with complex response patterns in response to other hormones, indicating that Aux/IAA may play a role in connecting auxin and other hormone signaling pathways. Overall, these findings shed more light on AaIAA genes and offer critical foundational knowledge toward the elucidation of their function during plant growth, stress response, and hormone networking of Aux/IAA family genes in A. argyi.

Uncertainty in the Past and Future Changes of Tropical Pacific SST Zonal Gradient: Internal Variability versus Model Spread

Abstract The zonal sea surface temperature (SST) gradient across the tropical Pacific is a pacemaker of the variable rates of global warming. In both historical simulations and future projections, the current state-of-the-art climate models show evident spread in the changes of zonal SST gradient, but the reasons remain unknown. Here, we quantify the contributions of internal variability and model spread to the uncertainty of zonal SST gradient changes by analyzing 342 realizations from CMIP5 and CMIP6 models and several sets of large-ensemble simulations. We found that the internal variability dominates the total uncertainty at multidecadal time scales (∼31-yr trends). Although the ratio of internal uncertainty to the total uncertainty declines along with higher emission of greenhouse gases under global warming, it is still over 80% at the multidecadal time scales in the future. The Pacific decadal oscillation is identified as the key internal mode responsible for the multidecadal uncertainty. For the future projections at centurial time scales, the uncertainty of zonal SST gradient changes is mainly from the intermodel spread in response to external forcing, accounting for about 70% of the uncertainty based on the difference between 2070–99 and 1970–99. The model spread in the cloud–shortwave radiation–SST feedback over the tropical Pacific is important in the uncertainty of zonal SST gradient changes. In particular, the intensity of negative convective cloud feedback in the western Pacific dominates the spread in CMIP5 models, while the intensity of stratocumulus cloud feedback over the southeastern Pacific is the primary process influencing the uncertainty in CMIP6 models.

Evaluation of the telemedical health care network “SAFE BIRTH” for pregnant women at risk, premature and sick newborns and their families: study protocol of a cluster-randomized controlled stepped-wedge trial

BackgroundThe Perinatal Center of the University Hospital Carl Gustav Carus Dresden has initiated the telemedical healthcare network “SAFE BIRTH” to coordinate and improve specialized care in non-metropolitan regions for pregnant women and newborns. The network incorporates five intervention bundles (IB): (1) Multi-professional, inter-disciplinary prenatal care plan; (2) Neonatal resuscitation; (3) Neonatal antibiotic stewardship; (4) Inter-facility transfer of premature and sick newborns; (5) Psycho-social support for parents. We evaluate if the network improves care close to home for pregnant women, premature and sick newborns.MethodsTo evaluate the complex healthcare intervention “SAFE BIRTH” we will conduct a cluster-randomized controlled stepped-wedge trial in five prenatal medical outpatient offices and eight non-metropolitan hospitals in Saxony, Germany. The offices and hospitals will be randomly allocated to five respectively eight sequential steps over a 30-month period to implement the telemedical IB. We define one specific primary process outcome for each IB (for instance IB#1: “Proportion of patients with inclusion criterion IB#1 who have a prenatal care plan and psychosocial counseling within one week”). We estimated a separate multilevel logistic regression model for each primary process outcome using the intervention status as a regressor (control or intervention group). Across all IB, a total of 1,541 and 1,417 pregnant women or newborns need to be included in the intervention and control group, respectively, for a power above 80% for small to medium intervention effects for all five hypothesis tests. Additionally, we will assess job satisfaction and sense of safety of health professionals caring for newborns (questionnaire survey) and we will assess families’ satisfaction, resilience, quality of life and depressive, anxiety and stress symptoms (questionnaire surveys). We will also evaluate the cost-effectiveness of ”SAFE BIRTH” (statutory health insurance routine data, process data) and barriers to its implementation (semi-structured interviews). We use multilevel regression models adjusting for relevant confounders (e.g. socioeconomic status, age, place of residence), as well as descriptive analyses and qualitative content analyses.DiscussionIf the telemedical healthcare network “SAFE BIRTH” proves to be effective and cost-efficient, strategies for its translation into routine care should be developed.Trial registrationGerman clinical trials register. DRKS-ID: DRKS00031482.

Health Risk Assessment for Reused Backwash Water from Saveh Water Treatment Plant

Background: The increase in population growth, industries and living standards have caused an increasing need for drinking water in many countries. The reuse of treated water and wastewater is one of the most important options to deal with water shortage. To ensure the correctness of this work, it is necessary that the health risk assessment be reassessed during use so that consumers do not face serious problems. In this regard, the assessment of health risks assessment for the water recovered from the backwashing wastewater of the Saveh water treatment plant was investigated. Methods: To reuse the backwash wastewater from the Saveh water treatment plant, the processes of primary sedimentation and coagulation (in the form of a test jar) were investigated. Metals and heavy metals like iron (Fe), aluminum (Al), lead (Pb), Arsenic (As) and cadmium (Cd) were examined to evaluate health risks. The initial settling time was 1 hour, the coagulant used was FeCl3 made in Iran, and heavy metal contents were also measured with an Inductively coupled plasma (ICP) device. Results: The value of HRIs for Al, Fe, As, Pb and Cd in the treated spent filter backwash water (SFBW) with primary sedimentation and coagulation was less than "1" and indicates the absence of risk. Conclusion: The treated backwash wastewater treated with primary sedimentation and coagulation processes as well as raw water of the Saveh have no harmful effects in terms of heavy metals, and its reuse will not pose a risk to the health of the consumer.