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Background: Haem is essential but toxic for metazoan organisms. Auxotrophic nematodes can acquire sufficient haem from the environment or their hosts in the meanwhile eliminate or detoxify excessive haem through tightly controlled machinery. In previous work, we reported a role of the unique transporter protein HRG-1 in the haem acquisition and homeostasis of parasitic nematodes. However, little is known about the haem efflux and detoxification via ABC transporters, particularly the multiple drug resistance proteins (MRPs). Results: Here, we further elucidate that a member of the mrp family (mrp-3) is involved in haem efflux and detoxification in a blood-feeding model gastrointestinal parasite, Haemonchus contortus. This gene is haem-responsive and dominantly expressed in the intestine and inner membrane of the hypodermis of this parasite. RNA interference of mrp-3 resulted in a disturbance of genes (e.g. hrg-1, hrg-2 and gst-1) that are known to be involved in haem homeostasis and an increased formation of haemozoin in the treated larvae and lethality in vitro, particularly when exposed to exogenous haem. Notably, the nuclear hormone receptor NHR-14 appears to be associated the regulation of mrp-3 expression for haem homeostasis and detoxification. Gene knockdown of nhr-14 and/or mrp-3 increases the sensitivity of treated larvae to exogenous haem and consequently a high death rate (> 80%). Conclusions: These findings demonstrate that MRP-3 and the associated molecules are essential for haematophagous nematodes, suggesting novel intervention targets for these pathogens in humans and animals. [ABSTRACT FROM AUTHOR]

Standard material requirement planning (MRP) systems do not include the purchasing decisions associated with business rules and containerisation strategies, in order to make decisions in a more holistic model and to seek an improvement in the planning process. This paper proposes a mathematical MRP-C model with containerisation constraints based on mixed integer linear programming, whose objective is to minimise total operating costs. The methodology structures a decision-making system with an integrated supply chain approach, which means that decisions impact on the different agents. The findings show a comparative result with data from a real system and a sensitivity analysis with other scenarios. The research suggests future avenues by including uncertainty and nervousness analysis, service level constraints and lost sales costs in the model and the robust optimization approach. [ABSTRACT FROM AUTHOR]

Abstract Background Haem is essential but toxic for metazoan organisms. Auxotrophic nematodes can acquire sufficient haem from the environment or their hosts in the meanwhile eliminate or detoxify excessive haem through tightly controlled machinery. In previous work, we reported a role of the unique transporter protein HRG-1 in the haem acquisition and homeostasis of parasitic nematodes. However, little is known about the haem efflux and detoxification via ABC transporters, particularly the multiple drug resistance proteins (MRPs). Results Here, we further elucidate that a member of the mrp family (mrp-3) is involved in haem efflux and detoxification in a blood-feeding model gastrointestinal parasite, Haemonchus contortus. This gene is haem-responsive and dominantly expressed in the intestine and inner membrane of the hypodermis of this parasite. RNA interference of mrp-3 resulted in a disturbance of genes (e.g. hrg-1, hrg-2 and gst-1) that are known to be involved in haem homeostasis and an increased formation of haemozoin in the treated larvae and lethality in vitro, particularly when exposed to exogenous haem. Notably, the nuclear hormone receptor NHR-14 appears to be associated the regulation of mrp-3 expression for haem homeostasis and detoxification. Gene knockdown of nhr-14 and/or mrp-3 increases the sensitivity of treated larvae to exogenous haem and consequently a high death rate (> 80%). Conclusions These findings demonstrate that MRP-3 and the associated molecules are essential for haematophagous nematodes, suggesting novel intervention targets for these pathogens in humans and animals.

Micro, Small and Medium Enterprises (MSMEs) have an important role in economic growth in Indonesia. Inventory management is one of the key aspects in the operational sustainability of MSMEs, especially raw materials used in the production process. One of them is XYZ MSMEs which is a producer of meatball pentol and meatball tofu products which uses several types of raw materials in its production process. The problem currently being faced is that there are often shortages and excesses in purchasing raw materials during procurement. This research aims to analyze the cost of raw material inventory at XYZ MSMEs using five different Lot Sizing methods, namely Economic Order Quantity (EOQ), Period Order Quantity (POQ), Silver Meal (SM), Least Unit Cost (LUC), and Part Period Balancing (PPB). This research uses historical data from MSME XYZ to identify differences in raw material inventory costs between the five MRP methods used. The results of this research show that the Silver Meal (SM) method produces the lowest total inventory costs for beef and tapioca starch as raw materials. Meanwhile, the Part Period Balancing (PPB) method produces the lowest total inventory costs for MSG raw materials. [ABSTRACT FROM AUTHOR]

Many companies in practice want to dynamically adjust planned lead times in their production planning and control systems in response to demand fluctuations. But for decades it has been recognised that this can lead to escalating planned lead times and realised throughput times. Authors have highlighted the negative impact of this 'lead time syndrome', especially in the context of Material Requirements Planning systems, prompting the development of alternative concepts intended to overcome its vicious cycle, such as Workload Control. Yet some authors have shown that increasing planned lead times has advantages – it can improve end-item service levels. To resolve this paradox, we conjecture that the effects of the lead time syndrome are limited when demand is independent of internally planned lead times, such as in make-to-order companies, and subsequently use simulation to prove this conjecture. We show that although dynamic planned lead times have a detrimental effect on performance in make-to-order systems, it is not an increase in planned lead times that leads to a performance loss. Rather, it is the decrease of lead times in low load periods that increases workloads in upcoming periods of high load. This questions the use of upper bounds (WIP-cap) in these contexts. [ABSTRACT FROM AUTHOR]

Supply chains are adversely affected by increased volatility and uncertainty. Deterministicpush-based MRP (Material Requirement Planning) methods for production and stock management in turbulent markets have difficulty meeting the expected performance. In order to overcome this difficulty, the Dynamic-Drawn Demand Driven Material Requirement Planning (DDMRP) method has been proposed. In this study, with the Hannah's Shop package simulator prepared on AnyLogic by Goldratt Research Labs, MRP-based min/max and economic order quantity (EOQ-Economic Order) for 10 products in 4 different categories having several editable attributes to run under differing variability – capacity – seasonality scenarios. Key performance indicators (KPI) are selected to demonstrate the performance of MRP min-max and MRP EOQ vs DDMRP. While the variability increased in the simulator trials, it was observed that the DDMRP method provided higher performance than the EOQ and min/max methods. However, resource constraints may be seen due to frequent shipments. The DDMRP method has the potential to be used in part or all of the Supply Chain for raw material or finished goods inventory management. It will help determine a stock management strategy, especially in turbulent markets and SMEs with limited stock holding capacity or budget. The simulator allows sector practitioners to compare the EOQ - min/max methods and DDMRP methods by simulating the closest setup to the existing business environments. The reproducibility of the method will meet the need for benchmarking after the pandemic and supply chain breaks.

Drug transporters and drug-metabolizing enzymes are primarily known for their role in the absorption, distribution, metabolism, and excretion (ADME) of small molecule drugs, but they also play a key role in handling endogenous metabolites. Recent cross-tissue co-expression network analyses have revealed a "Remote Sensing and Signaling Network" of multispecific, oligo-specific, and monospecific transporters and enzymes involved in endogenous metabolism. This includes many proteins from families involved in ADME (e.g., SLC22, SLCO, ABCC, CYP, UGT). Focusing on the gut-liver-kidney axis, we identified the endogenous metabolites potentially regulated by this network of ~1000 proteins by associating SNPs in these genes with the circulating levels of thousands of small, polar, bioactive metabolites, including free fatty acids, eicosanoids, bile acids, and other signaling metabolites that act in part via G-protein coupled receptors (GPCRs), nuclear receptors, and kinases. We identified 77 genomic loci associated with 7236 unique metabolites. This included metabolites that were associated with multiple, distinct loci, indicating coordinated regulation between multiple genes (including drug transporters and drug-metabolizing enzymes) of specific metabolites. We analyzed existing pharmacogenomic data and noted SNPs implicated in endogenous metabolite handling (e.g., rs4149056 in SLCO1B1) also affecting drug ADME. The overall results support the existence of close relationships, via interactions with signaling metabolites, between drug transporters and drug-metabolizing enzymes that are part of the Remote Sensing and Signaling Network, and with GPCRs and nuclear receptors. These analyses highlight the potential for drug-metabolite interactions at the interfaces of the Remote Sensing and Signaling Network and the ADME protein network.

ready for use by consumers, which includes the flow of goods. The flow of goods occurs as a result of the need for material purchases and the production process to meet consumer demand. After the material requirements are calculated and determined by the company, the company needs to find and order suppliers to send the goods to the warehouse. In reality, the process is not always smooth, companies have difficulty estimating the number of goods needed for efficient and maximum production each month. There is always stock in the warehouse, even more than the capacity of the warehouse itself. Therefore, this research focuses on integrating the results of MRP (Material requirements planning) with supplier arrivals which focuses on category A parts or components which are determined based on warehouse space usage and the value of the part or component item itself. This part is then calculated using the RCCP method and its effectiveness is verified using discrete event simulation in the Jaamsim program. The results of research at PT XYZ show that there are 4 category A part or component items that have a significant effect. The four items are Cover L Side, Radiator Assy, Case Comp Mission and Pulley Assy Driven. After calculating the RCCP for these four part items, it was found that the arrival period of the supplier needed to be determined to ensure the availability of goods at the right time and in the right quantity. This result is supported by the Jammsim simulation which shows that the queue for goods becomes shorter and stock fluctuations become lower. In addition, with more careful arrival planning there is the potential to reduce the frequency of delivery trips from suppliers where supplier trucks can potentially make more than 1 trip per delivery, there by saving on truck rental or investment costs. [ABSTRACT FROM AUTHOR]

Background Stroke is ischemia and neurological dysfunction caused by acute brain circulation loss. It causes acute localized neurological abnormalities such as weakness, sensory deficit, or language issues that require long-term treatment. These deficiencies harm the patient and their family psychologically, socially, and economically. Thus, combination treatment can rapidly rehabilitate such patients. Detoxification methods like Ayurvedic medicated enema help stroke pathophysiology. Physical modalities in physiotherapy have been shown to facilitate normal movement and function on the stroke patient’s affected side, increasing independence with everyday duties. A stroke patient may benefit from Dashmoola Niruha Basti, Function Electrical Stimulation (FES), and Motor Relearning Programme (MRP). Aim & Objectives This study compares the adjuvant role of Dashmoola Basti with MRP and FES in stroke recovery. The main goals of this study are to assess and compare the adjuvant role of Dashmoola Basti with standard control over sensorimotor function of lower extremities, static and dynamic balance in stroke patients; gait parameters; resistance experienced during passive range of motion; quality of life of patients; Barthel Index; Modified Ashworth Scale; and Fuglmeyer assessment, Single Limb Stance Test, Functional Reach Test. Methods A total of 40 patients will be enrolled and divided randomly into two equal groups. In Group A (control), standard treatment (modern + physiotherapy) will be prescribed for one month. In Group B (interventional group), Dashmoola Basti will be added to the aforementioned standard treatment for one month. Expected results Improvement in Fuglmeyer assessment, Single Limb Stance Test, Functional Reach Test, quality of Life of Patients, Barthel Index, Modified Ashworth scale, and National Institute of Health (NIH) stroke-scale-score will be observed and recorded. Conclusions Results and conclusions will be derived according to the data collected in case record form and assessment sheets filled at baseline and follow-up visits. Trial registration CTRI/2021/10/037445 dated 21.10.2021.

Multi-stage assembly systems where the demand for components depends on the market-driven demand for end products, are commonly encountered in practice. Production Planning and Control (PPC) systems for this production context include Kanban, Materials Requirement Planning (MRP), Optimised Production Technology (OPT), and Demand Driven MRP (DDMRP). All four of these PPC systems are widely applied in practice and literature abounds on each of these systems. Yet, studies comparing these systems are scarce and remain largely inconclusive. In response, this study uses simulation to assess the performance of all four PPC systems under different levels of bottleneck severity and due date tightness. Results show that MRP performs the worst, which can be explained by the enforcement of production start dates. Meanwhile, Kanban and DDMRP perform the best if there is no bottleneck. If there is a bottleneck then DDMRP and OPT perform the best, with DDMRP realising lower inventory levels. If there is a severe bottleneck, then the performance results for DDMRP and OPT converge. This identification of contingency factors not only resolves some of the inconsistencies in the literature but also has important implications for the applicability of these four PPC systems in practice. [ABSTRACT FROM AUTHOR]

A fundamental construct of most planning systems is the planned lead time. A planned lead time is a control parameter that refers to the planned amount of time for a production, transportation or replenishment activity. The intent of this article is to provide a brief, critical examination of planned lead times. We first discuss why planned lead times are used and why they are important. We then discuss the trade-offs to be considered in setting the planned lead times. We follow this with a review of the research literature on how to specify the planned lead times. Finally, we offer a simple model to provide some insight on how the planned lead time for an activity depends on the stochastic variability of the resource requirements for the activity, and on the flexibility and utilisation of the resource associated with the activity. [ABSTRACT FROM AUTHOR]

In recent decades, multilevel regression and poststratification (MRP) has surged in popularity for population inference. However, the validity of the estimates can depend on details of the model, and there is currently little research on validation. We explore how leave‐one‐out cross validation (LOO) can be used to compare Bayesian models for MRP. We investigate two approximate calculations of LOO: Pareto smoothed importance sampling (PSIS‐LOO) and a survey‐weighted alternative (WTD‐PSIS‐LOO). Using two simulation designs, we examine how accurately these two criteria recover the correct ordering of model goodness at predicting population and small‐area estimands. Focusing first on variable selection, we find that neither PSIS‐LOO nor WTD‐PSIS‐LOO correctly recovers the models' order for an MRP population estimand, although both criteria correctly identify the best and worst model. When considering small‐area estimation, the best model differs for different small areas, highlighting the complexity of MRP validation. When considering different priors, the models' order seems slightly better at smaller‐area levels. These findings suggest that, while not terrible, PSIS‐LOO‐based ranking techniques may not be suitable to evaluate MRP as a method. We suggest this is due to the aggregation stage of MRP, where individual‐level prediction errors average out. We validate these results by applying to the real world National Health and Nutrition Examination Survey (NHANES) data in the United States. Altogether, these results show that PSIS‐LOO‐based model validation tools need to be used with caution and might not convey the full story when validating MRP as a method. [ABSTRACT FROM AUTHOR]

This article deals with the potential of digitalization to improve participants' skills in the agri-food market. The topic of improving technical mechanisms and software technologies aimed at the qualitative development of e-education in Russia is being updated. The problems of providing the agri-food market with skilled personnel are analyzed. The problems of terminological uncertainty concerning the concepts of digitalization and distance education in computer sciences (informatics), information sciences, and other related scientific fields that have a negative impact on the overall wide turnover of scientific research, are touched upon. The authors propose a single generalized nonhierarchical technological model of the organization of e-education, schematically describing a set of software technologies in the form of a cloud telecommunications system. Particularly, it is recommended to use multicasting technologies and adaptive network means of signal delivery to promote educational content in the form of internet television. The basic integrative network tools and protocols for the specific organization of electronic educational activities via internet television are technically annotated. The conclusions briefly and conceptually reflect the course of the research, as well as the logic of the material analyzed by the authors, summarizing the research work done and to provide some recommendations for the operation of multicasting technology in the form of internet television in Russia. [ABSTRACT FROM AUTHOR]

Background Stroke is ischemia and neurological dysfunction caused by acute brain circulation loss. It causes acute localized neurological abnormalities such as weakness, sensory deficit, or language issues that require long-term treatment. These deficiencies harm the patient and their family psychologically, socially, and economically. Thus, combination treatment can rapidly rehabilitate such patients. Detoxification methods like Ayurvedic medicated enema help stroke pathophysiology. Physical modalities in physiotherapy have been shown to facilitate normal movement and function on the stroke patient’s affected side, increasing independence with everyday duties. A stroke patient may benefit from Dashmoola Niruha Basti, Function Electrical Stimulation (FES), and Motor Relearning Programme (MRP). Aim & Objectives This study compares the adjuvant role of Dashmoola Basti with MRP and FES in stroke recovery. The main goals of this study are to assess and compare the adjuvant role of Dashmoola Basti with standard control over sensorimotor function of lower extremities, static and dynamic balance in stroke patients; gait parameters; resistance experienced during passive range of motion; quality of life of patients; Barthel Index; Modified Ashworth Scale; and Fuglmeyer assessment, Single Limb Stance Test, Functional Reach Test. Methods A total of 40 patients will be enrolled and divided randomly into two equal groups. In Group A (control), standard treatment (modern + physiotherapy) will be prescribed for one month. In Group B (interventional group), Dashmoola Basti will be added to the aforementioned standard treatment for one month. Expected results Improvement in Fuglmeyer assessment, Single Limb Stance Test, Functional Reach Test, quality of Life of Patients, Barthel Index, Modified Ashworth scale, and National Institute of Health (NIH) stroke-scale-score will be observed and recorded. Conclusions Results and conclusions will be derived according to the data collected in case record form and assessment sheets filled at baseline and follow-up visits. Trial registration CTRI/2021/10/037445 dated 21.10.2021.

Background Stroke is ischemia and neurological dysfunction caused by acute brain circulation loss. It causes acute localized neurological abnormalities such as weakness, sensory deficit, or language issues that require long-term treatment. These deficiencies harm the patient and their family psychologically, socially, and economically. Thus, combination treatment can rapidly rehabilitate such patients. Detoxification methods like Ayurvedic medicated enema help stroke pathophysiology. Physical modalities in physiotherapy have been shown to facilitate normal movement and function on the stroke patient’s affected side, increasing independence with everyday duties. A stroke patient may benefit from Dashmoola Niruha Vasti, Function Electrical Stimulation (FES), and Motor Relearning Programme (MRP). Aim & Objectives This study compares the adjuvant role of Dashmoola Vasti with MRP and FES in stroke recovery. The main goals of this study are to assess and compare the adjuvant role of Dashmoola Vasti with standard control over sensorimotor function of lower extremities; static & dynamic balance in stroke patients; gait parameters; resistance experienced during passive range of motion; quality of life of patients; Barthel Index; Modified Ashworth Scale; and Fuglmeyer assessment, Single Limb Stance Test, Functional Reach Test. Methods A total of 40 patients will be enrolled and divided randomly into two equal groups. In Group A (control), standard treatment (modern + physiotherapy) will be prescribed for one month. In Group B (interventional group), Dashmoola Vasti will be added to the afore-said standard treatment for one month. Expected results Improvement in Fuglmeyer assessment, Single Limb Stance Test, Functional reach test, quality of life of patients, Barthel Index, Modified Ashworth scale and National Institute of Health (NIH) stroke-scale-score, will be observed and recorded. Conclusions Results and conclusions will be derived according to the data collected in case record form and assessment sheets filled at baseline and follow-up visits. Trial registration CTRI/2021/10/037445 dated 21.10.2021.

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

Copyright of GeSec: Revista de Gestao e Secretariado is the property of Sindicato das Secretarias e Secretarios do Estado de Sao Paulo (SINSESP) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Demand driven material requirements planning or DDMRP is a recent and promising material management method that has been developed and implemented in the practitioner world. Essentially, DDMRP represents a rethinking of the basic MRP logic. By incorporating elements drawn from Lean Systems and the Theory of Constraints and by introducing new features such as dynamic buffers, DDMRP modifies the basic MRP logic so that it is better able to satisfy customer demands in an increasingly demanding, turbulent and dynamic environment. Claims have been made by firms that DDMRP represents a superior planning approach. In this paper, we introduce and explore DDMRP. In addition, we evaluate its effectiveness relative to two other widely accepted approaches - MRP II and Kanban/Lean production - through a series of structured computer simulation experiments. The results strongly indicate that DDMRP does represent a superior approach - one that warrants further academic study. [ABSTRACT FROM AUTHOR]

Abstract Background The heme group constitutes a major functional form of iron, which plays vital roles in various biological processes including oxygen transport and mitochondrial respiration. Heme is an essential nutrient, but its pro-oxidant nature may have toxic cellular effects if present at high levels, and its synthesis is therefore tightly regulated. Deficiency and excess of heme both lead to pathological processes; however, our current understanding of metazoan heme transport is largely limited to work in mammals and the worm Caenorhabditis elegans, while functional analyses of heme transport in the genetically amenable Drosophila melanogaster and other arthropods have not been explored. Results We implemented a functional screening in Schneider 2 (S2) cells to identify putative heme transporters of D. melanogaster. A few multidrug resistance-associated protein (MRP) members were found to be induced by hemin and/or involved in heme export. Between the two plasma membrane-resident heme exporters CG4562 and CG7627, the former is responsible for heme transit across the intestinal epithelium. CG4562 knockdown resulted in heme accumulation in the intestine and lethality that could be alleviated by heme synthesis inhibition, human MRP5 (hMRP5) expression, heme oxygenase (HO) expression, or zinc supplement. CG4562 is mainly expressed in the gastric caeca and the anterior part of the midgut, suggesting this is the major site of heme absorption. It thus appears that CG4562 is the functional counterpart of mammalian MRP5. Mutation analyses in the transmembrane and nucleotide binding domains of CG4562 characterized some potential binding sites and conservative ATP binding pockets for the heme transport process. Furthermore, some homologs in Aedes aegypti, including that of CG4562, have also been characterized as heme exporters. Conclusions Together, our findings suggest a conserved heme homeostasis mechanism within insects, and between insects and mammals. We propose the fly model may be a good complement to the existing platforms of heme studies.

The ribonucleoprotein RNase MRP is responsible for the processing of ribosomal RNA precursors. It is found in virtually all eukaryotes that have been examined. In the Euglenozoa, including the genera Euglena, Diplonema and kinetoplastids, MRP RNA and protein subunits have so far escaped detection using bioinformatic methods. However, we now demonstrate that the RNA component is widespread among the Euglenozoa and that these RNAs have secondary structures that conform to the structure of all other phylogenetic groups. In Euglena, we identified the same set of P/MRP protein subunits as in many other protists. However, we failed to identify any of these proteins in the kinetoplastids. This finding poses interesting questions regarding the structure and function of RNase MRP in these species. [ABSTRACT FROM AUTHOR]

Population's aging leads to a frequent usage of pharmaceutical medications to treat or control various ailments because of aging, increasing the probability of occurrence of problems related to its usage. The primary objective of this study was to conduct pharmaceutical interventions in elderly patients from San Luis -- Riobamba, using surveys to identify the sociodemographic characteristics, diseases, and medicines usage. Once the problems related to pharmacological therapy were identified, pharmaceutical interventions were carried our prior the acceptance of each patient. The study had the participation of 422 elderly patients, with the prevalence of females (59.7%), aged between 60 and 70 years (45.5%); we identified that 82.5% of the elderly patients have diseases, finding that joint pain such as Arthritis/Osteoarthritis has the higher incidence (38.8%), and 50% of the surveyed people consume medication to treat the disease. 40.28% (n=170) of the participants conciliate the treatment review to identify any medication-related problem (MRP), finding interactions (21.2%) and adverse effects probability (21.2%), starting from the PRM identified, 170 pharmaceutical interventions were conducted, considering as priority (67.6%) the education on non-pharmacological measures. The pharmaceutical interventions done through the study benefited the elderly patients and will contribute to reduce the appearance of PRM. [ABSTRACT FROM AUTHOR]

Can electoral reforms such as an independent redistricting commission and the top-two primary create conditions that lead to better legislative representation? We explore this question by presenting a new method for measuring a key indicator of representation - the congruence between a legislator's ideological position and the average position of her district's voters. Our novel approach combines two methods: the joint classification of voters and political candidates on the same ideological scale, along with multilevel regression and post-stratification to estimate the position of the average voter across many districts in multiple elections. After validating our approach, we use it to study the recent impact of reforms in California, showing that they did not bring their hoped-for effects.

Although there has been a fast rise in the share of Americans reporting no religion, it is unclear whether this trend has affected different parts of the country equally. Against this backdrop, we apply dynamic multilevel regression and poststratification (Dynamic MRP) to General Social Survey data over the period 1973 to 2018 to estimate state-level religious trends. We validate our estimates against external benchmarks, finding that they perform well in terms of predictive accuracy. Substantively, we find steeper increases in the share of religious nones in states that had more nones to begin with. Moreover, whereas state-level increases in the share of religious nones are strongly linked to declines in occasional church attendance and moderate religious identification, the associations with trends in regular attendance and strong identification are much weaker. States have thus not only diverged in their share of religious nones but also experienced different degrees of religious polarization.