Value Of Function Research Articles

Fermented vegetables in China: overview, novel processes, influencing factors, lactic acid bacteria and industrialisation status

SummaryFermented vegetables are nutritionally beneficial and promote good health. China possesses abundant raw vegetable materials and has a longstanding history of fermented vegetable production. However, the traditional process of vegetable fermentation heavily relies on individual producers' experience and knowledge, resulting in inconsistent flavours, variable quality, and the potential generation of harmful substances. The utilisation of lactic acid fermentation starters can effectively inhibit pathogenic bacteria during the fermentation process, enhance product flavour, reduce nitrite production, improve functional and nutritional value, as well as extend shelf‐life. This article comprehensively reviews factors influencing vegetable fermentation; diverse functions performed by lactic acid bacteria throughout the fermentation process and assesses the current industrialisation status of vegetable fermentation in China. It serves as a valuable reference for promoting high‐quality development within the fermented vegetable industry.

Hybrid grasshopper and Harris hawk optimization algorithm‐based energy efficient routing protocol for extending network lifetime in wireless sensor networks

SummaryIn wireless sensor networks (WSNs), routing based on cluster construction is highly preferred as it greatly supports reliable data communication, load balancing, and fault tolerance with extended network lifetime. In specific, metaheuristic approach‐based dynamic cluster heads (CHs) selection has the possibility of enhancing the lifespan of network and at the same time is capable in reducing the energy consumption. In this paper, hybrid grasshopper and Harris hawk optimization algorithm‐based energy efficient routing protocol (HGHHOA) is propounded for optimal CH selection. This proposed HGHHOA approach adopted a fitness function that incorporated the factors of residual energy, distance between CH and cluster members, distance between selected CHs and the sink, node centrality, and node degree into account. The fitness function values of optimality facilitate a potential CH selection with significant cost‐effective routing. It is proposed with primary objective of improving the network lifespan through optimized selection of CHs that balances the available energy in a predominant way. It is proposed with significance of handling premature convergence with minimized energy consumption and network lifetime through the possibility of establishing an ideal balance between number of alive and dead nodes. The results of this proposed HGHHOA approach with varying rounds of implementation exhibited better results in throughput and residual energy which is 23.98% and 29.21%, better than the bassline CH selection mechanisms.

The effect of dietary antioxidant on lung function in pedicab during the COVID-19 pandemic

Rickshaw drivers have a high risk of respiratory disease, especially in the COVID-19 pandemic which is very risky to the respiratory system. The purpose was to determine the effect of antioxidant intake in food on the lung function of pedicab drivers in Surabaya. This study was a cross-sectional design, in May-July 2019. The variables of this study were lung function value and intake of foods containing antioxidants (vitamins A, C, and E). The research respondents were pedicab drivers in the Surabaya area. The method used a structured interview method, used the 24-hour recall method. The chi-square test was used to determine whether there was a difference between the value of lung function and the classification of intake of vitamins A, C, and E. The respondents of this study were 62 people with decreased lung function, and 62 people without decreased lung function. there were only 6 respondents who had vitamin A intake per day, while as many as 108 respondents had less level of vitamin A intake per day (87.10%). While the intake of vitamins C and E was still at a lower level in all respondents (100%). The average intake of vitamins A, D, and E on holidays was higher than on weekdays. Vitamin A intake has been shown to affect lung function. There was had significant relationship between dietary vitamin A intake and lung function in FEV1/FVC value. In addition, further research is needed to determine other dietary factors and other lifestyles to be able to maintain the quality of lung health for pedicab drivers.

Applying the consumption values theory to explain farmers’ choice of interest–free agriculture financing products

PurposeUsing the consumption values theory (CVT) as a baseline model, this study aims to evaluate the factors that influence farmers' decision-making behavior regarding interest-free agricultural financing products.Design/methodology/approachData were gathered from 321 banking customers using questionnaires who are engaged with the agriculture sector and wish to obtain finance related to Islamic agriculture products.FindingsThe findings demonstrate that the decision behavior for Islamic agriculture financing products is highly influenced by epistemic, emotional and functional values. On the contrary, conditional and social values do not influence farmers’ choice behavior for Islamic agriculture financing products.Research limitations/implicationsThere are a few limitations in this study. Initially, the study's geographic scope is limited to bank customers within the agriculture sector who live, in particular, in Southern Sindh province, Pakistan. Next, researchers extended the CVT to a specific focus on agricultural financing products by Islamic banks. Future researchers should take these concerns into consideration for better applicability, and it is anticipated that the research approach will be refined to best expand the results. Lastly, future researchers are expected to broaden the theory's relevance by considering the socio-cultural environmental conditions (culture, religious values and approaches) and social conditions in a wider range of Islamic agricultural financial instruments.Practical implicationsThe findings are beneficial for practitioners intending to advance innovative Islamic agriculture financing products to cater to Pakistani farmers’ needs.Originality/valueThis research extends the CVT that offers valuable information for the development of consumers’ behavior in the setting of interest-free agricultural financing.

A Stochastic Inexact Sequential Quadratic Optimization Algorithm for Nonlinear Equality-Constrained Optimization

A stochastic algorithm is proposed, analyzed, and tested experimentally for solving continuous optimization problems with nonlinear equality constraints. It is assumed that constraint function and derivative values can be computed but that only stochastic approximations are available for the objective function and its derivatives. The algorithm is of the sequential quadratic optimization variety. Distinguishing features of the algorithm are that it only employs stochastic objective gradient estimates that satisfy a relatively weak set of assumptions (while using neither objective function values nor estimates of them) and that it allows inexact subproblem solutions to be employed, the latter of which is particularly useful in large-scale settings when the matrices defining the subproblems are too large to form and/or factorize. Conditions are imposed on the inexact subproblem solutions that account for the fact that only stochastic objective gradient estimates are employed. Convergence results are established for the method. Numerical experiments show that the proposed method vastly outperforms a stochastic subgradient method and can outperform an alternative sequential quadratic programming algorithm that employs highly accurate subproblem solutions in every iteration. Funding: This material is based upon work supported by the National Science Foundation [Awards CCF-1740796 and CCF-2139735] and the Office of Naval Research [Award N00014-21-1-2532].

A typology of AI-based tasks for the HR function

PurposeThis paper aims to elucidate the keys transformations of human resources (HR) tasks amid the age of artificial intelligence (AI).Design/methodology/approachThis paper synthesizes recent theoretical and empirical research on the topic of AI and human resource management to establish a typology of AI-based HR tasks.FindingsHR jobs will revolve around three types of tasks in the age of AI: mechanical, thinking and feeling.Originality/valueAI radically changes HR function and it becomes essential for organizations to clearly define the purpose of using AI, its role and the context of its use in tasks. Strategic value of the HR function will lie in its future reorientation toward feeling tasks. HR managers need to possess the knowledge, skills and abilities to adapt to these tasks and ensure the responsible use of AI.

Biometric factors associated with the postoperative visual performance of a multifocal intraocular lens

PurposeTo identify the biometric factors associated with postoperative visual performance after uneventful phacoemulsification with multifocal intraocular lens (MIOL) implantation. MethodsIn this retrospective cohort study, 72 eyes of 72 patients implanted with the HumanOptics Diff-aAY MIOL were included. Preoperative examination data including the white-to-white distance (WTW), anterior chamber depth (ACD), axial length and corneal astigmatism were gathered through the electronic medical records. One month postoperatively, the pupil parameters, corneal aberrations, corneal astigmatism, IOL tilts and IOL decentrations were measured using an OPD-Scan III aberrometer. Postoperative visual performance parameters were recorded as the visual acuity, depth of focus, modulation transfer function (MTF) and point spread function (PSF) values, area under log contrast sensitivity function (AULCSF), retinal straylight and visual function questionnaire scores. Univariate and multivariate linear regression analyses were then performed to evaluate the associations between the potential biometric factors and postoperative visual outcomes. ResultsYounger age predicted greater MTF and PSF values, better AULCSF and better retinal straylight (P < 0.05). A lower corneal trefoil predicted better MTF and PSF values (P < 0.05). Smaller IOL decentration predicted better distance-corrected near visual acuity, greater AULCSF and better retinal straylight (P < 0.05). A less negative spherical equivalent (SE) predicted better MTF values (P = 0.017), while a more negative SE predicted better Visual Function Index-14 (VF-14) questionnaire scores and satisfaction scores (P < 0.05). A higher IOL power predicted better best corrected distance visual acuity (P = 0.005). Lower preoperative corneal astigmatism predicted greater MTF values (P = 0.020). Lower postoperative corneal astigmatism, smaller corneal high-order aberrations (HOAs), smaller photopic pupil size, larger WTW and deeper ACD predicted a better AULCSF (P < 0.05). ConclusionsIOL decentration, IOL power, age, preoperative and postoperative corneal astigmatism, SE, photopic pupil size, corneal trefoil, WTW, ACD and corneal HOAs were significantly associated with postoperative visual performance. These findings might aid in patient selection prior to MIOL implantation.

Latent structure and measurement invariance by gender of the Embodied Image Scale

Body image is a multidimensional construct that includes both aesthetic (how our body looks) and functional components (what our body can do physically). Our study aimed to investigate latent structure and measurement invariance (MI) by gender of the Serbian translation of Embodied Image Scale using a large sample of adults from the general population (N = 1035; M = 26.33, SD = 9.94; 66.7% females). The Embodied Image Scale (EIS) incorporates aesthetic and functional body image. According to the results of the confirmatory factor analysis, the following five factors described the latent structure of the EIS the best: functional investment (FI), functional values (FV), functional satisfaction (FS), aesthetic satisfaction (AS), and aesthetic values and investment (AVI). The results of the MI suggested that the EIS achieved the strict (residual) level of invariance. In addition, the convergent validity of the EIS was tested by correlating the EIS scores with positive and negative mental health indicators. The results suggested that FV, FI, FS, and AS had a positive correlation with positive affect and unconditional self-acceptance (USA), FS and AS correlated negatively with negative affect (NA), symptoms of depression (D), and conditional self-acceptance (CSA), while the AVI had a positive correlation with NA, CSA, D, and negative correlation with USA. Finally, we compared physically inactive participants, recreationists, and active athletes on the EIS scores. The results revealed that all groups differed in FV, FS, and AS in a way that scores on these subscales increased with increased physical activity.

Revealing the organic food consumption intention in Afyonkarahisar: a study on the impact of health, safety, value and attributes

PurposeThis study examines the relationship between the emphasis on organic food in Afyonkarahisar's cuisine and the growing demand for healthier and sustainable options. This study aimed to understand the factors influencing the intention to consume organic foods.Design/methodology/approachThis study uses a quantitative research method. It uses scales adapted from previous research to assess the health and safety of organic food's functional, hedonic, and social values. Data were collected using the purposive sampling method, and a sample size of 410 individuals was analyzed using the PLS-SEM method. Measurement and structural models were evaluated to assess validity, reliability, and model fit.FindingsThe results indicate that implementing health and safety practices significantly and positively affects perceptions of organic food's functional, hedonic, altruistic, and social values. Additionally, consumers' attitudes toward organic food are greatly influenced by their perceptions of functional and social value, whereas hedonic and altruistic values do not have a significant positive effect.Practical implicationsThe results of this study have a beneficial impact on food industry practitioners and policymakers. Emphasizing health and safety practices in producing and promoting organic foods can improve consumer perceptions and attitudes toward organic products. Understanding the importance of practical benefits and social issues can help companies respond effectively to consumer preferences and market organic foods.Originality/valueThis study contributes significantly to the existing literature by investigating the relationship between organic food emphasis and consumer perceptions in the unique context of Afyonkarahisar, a city renowned for its gastronomy. While focusing on Afyonkarahisar provides valuable insights into the specific values that influence consumers' attitudes toward organic food, it is essential to highlight that this research extends beyond the local context to offer broader implications and significance.

Methodological issues of the fuzzy set theory (generalizing article)

The theory of fuzziness is an important area of modern theoretical and applied mathematics. The methodology of the theory of fuzziness is a doctrine of organizing activities in the field of development and application of the scientific results of this theory. We discuss some methodological issues of the theory of fuzziness, i.e., individual components of the methodology in the area under consideration. The theory of fuzziness is a science of pragmatic (fuzzy) numbers and sets. The ancient Greek philosopher Eubulides showed that the concepts «Heap» and «Bald» cannot be described using natural numbers. E. Borel proposed to define a fuzzy set using a membership function. A fundamentally important step was taken by L. A. Zadeh in 1965. He gave the basic definitions of the algebra of fuzzy sets and introduced the operations of intersection, product, union, sum, negation of fuzzy sets. The main thing he did was demonstration of the possibilities of expanding («doubling») mathematics: by replacing the numbers and sets used in mathematics with their fuzzy counterparts, we obtain new mathematical formulations. In the statistics of non-numerical data, methods of statistical analysis of fuzzy sets have been developed. Interval and triangular fuzzy numbers are often used specific types of membership functions. The theory of fuzzy sets in a certain sense is reduced to the theory of random sets. We think fuzzy and that is the only reason we understand each other. The paradox of the fuzzy theory is that it is impossible to consistently implement the thesis «Everything in the world is fuzzy». For ordinary fuzzy sets, the argument and values of the membership function are crisp. If they are replaced by fuzzy analogues, then their description will require their own clear arguments and membership functions, and so on ad infinitum. System fuzzy interval mathematics proceeds from the need to take into account the fuzziness of the initial data and the prerequisites of the mathematical model. One of the options for its practical implementation is an automated system-cognitive analysis and the intellectual system «Eidos».

EPB-TBM cutterhead torque and thrust modelling in rock tunnels through an analytical method and TSFS model

The analysis of cutterhead torque and thrust force is of utmost importance in the selection of a proper tunnel boring machine (TBM) and in achieving optimal operation of the earth pressure balance (EPB) machine for a specific project. This study focuses on the analysis of cutterhead torque and thrust force using data collected from the recent metro project of Tehran, specifically the southern extension of Tehran metro line 6, (TML6-SE). To assess the impact of geotechnical and operational parameters on the measured torque and thrust, a database consisting of 457 data points was established. The excavation of a significant portion of the project took place in a dense and robust limestone using a refurbished EPB machine with a diameter of 9.19 m, initially designed for soft ground excavation. To complete this section of the tunnel, the cutterhead was equipped with disc cutters instead of rippers. Consequently, existing theoretical models for estimating torque and thrust of an EPB machine were modified to accommodate the hard rock boring process. Additionally, the Takagi-Sugeno fuzzy system (TSFS) was utilized in this study. The results of the models yielded quantitative conclusions, and the comparison between the measured and predicted target parameters demonstrated high accuracy. This study contributes to the understanding of the influence of various parameters on the performance of EPB machines in hard rock boring conditions, as well as providing insight into the potential adjustments needed in theoretical models for predicting cutterhead torque and thrust force. The proposed models showed satisfactory and reliable accuracy, with all models having an R2 value above 0.7 and loss function values nearing zero.

Prediction of Protein-DNA Interface Hot Spots Based on Empirical Mode Decomposition and Machine Learning.

Protein-DNA complex interactivity plays a crucial role in biological activities such as gene expression, modification, replication and transcription. Understanding the physiological significance of protein-DNA binding interfacial hot spots, as well as the development of computational biology, depends on the precise identification of these regions. In this paper, a hot spot prediction method called EC-PDH is proposed. First, we extracted features of these hot spots' solid solvent-accessible surface area (ASA) and secondary structure, and then the mean, variance, energy and autocorrelation function values of the first three intrinsic modal components (IMFs) of these conventional features were extracted as new features via the empirical modal decomposition algorithm (EMD). A total of 218 dimensional features were obtained. For feature selection, we used the maximum correlation minimum redundancy sequence forward selection method (mRMR-SFS) to obtain an optimal 11-dimensional-feature subset. To address the issue of data imbalance, we used the SMOTE-Tomek algorithm to balance positive and negative samples and finally used cat gradient boosting (CatBoost) to construct our hot spot prediction model for protein-DNA binding interfaces. Our method performs well on the test set, with AUC, MCC and F1 score values of 0.847, 0.543 and 0.772, respectively. After a comparative evaluation, EC-PDH outperforms the existing state-of-the-art methods in identifying hot spots.

Effect of Lentinus sajor-caju on the chemical composition and antioxidant activity of highland barley straw under solid-state fermentation.

The efficient utilization of straw resources as animal feed has gained considerable attention. The objective of this study was to evaluate whether Lentinus sajor-caju treatment alters the chemical composition and antioxidant activity of highland barley straw and enhances its functional value as a ruminant feed. The chemical composition, antioxidant capacity, and metabolomic profile of highland barley straw were determined after 21 days of solid-state fermentation with L. sajor-caju at 25°C. The differential metabolites between fermented and unfermented highland barley straw were identified by LC-MS and the relationship between the identified metabolites and antioxidant capacity was elucidated. The results showed that, compared with untreated highland barley straw, the crude protein and ether extract contents were higher (51.55 and 76.43%, respectively) in highland barley straw after 21 days of incubation with L. sajor-caju, whereas the hemicellulose, cellulose, and acid detergent lignin contents were lower (2.48, 25.08, and 45%, respectively). The total antioxidant capacity was significantly higher in L. sajor-caju-treated than in untreated highland barley straw. In total, 600 differential metabolites (301 upregulated and 299 downregulated) were identified between L. sajor-caju-fermented and unfermented highland barley straw. Correlation analysis results showed that Fe2+ scavenging and total phenolic content were strongly correlated with total antioxidant capacity. Meanwhile, the differential flavonoid metabolites between fermented and unfermented highland barley straw were primarily associated with antioxidant activity, with kaempferol 3-xylosylglucoside, isoginkgetin, and rhoifolin being the most representative. Thus, this study demonstrates that L. sajor-caju could enhance the functional value of highland barley straw, showing the potential of L. sajor-caju for improving the utilization of agricultural straws in ruminants.

Influencing Generation Z’s Green Purchase Intention: Roles of Awareness and Eco-Labels

Increasing population growth accompanied by excessive consumptive patterns encourages the exploitation of natural resources which will result in environmental pollution. Environmental problems that are not immediately resolved will certainly have an impact on the lives of the next generation. This study aims to determine the role of environmental awareness, consumption value and eco-labeling on green purchase intention in Generation Z. The theory used is the theory of consumption value initiated by Sheth et al. (1991) on how the nature of the customer decision-making process is based on 5 perceived consumption values, namely functional value, social value, emotional value, epistemic value and conditional value. The research method used is quantitative method with 135 respondents. Data analysis in this study used PLS-SEM analysis with the help of SmartPLS 3.0 software. The results showed that environmental awareness, consumption value and eco-label have a positive and significant effect on green purchase intention in Generation Z. The consumption value variable is the variable with the greatest influence on green purchase intention in Generation Z. The novelty of this research is the addition of consumption value variables using five dimensions of consumption value in accordance with the Theory of Consumption Values which are very rarely studied by Indonesian researchers in their influence on green purchase intention in generation Z.

Optimization of antioxidant activity and characterization of probiotic cascara beverage fermented using water kefir grain [Optimasi aktivitas antioksidan dan karakterisasi minuman probiotik cascara hasil fermentasi menggunakan bibit kefir air

Cascara is a beverage derived from dried coffee cherry pulp, known to have good functional value but with a short shelf life. Fermentation is a technique that can enhance cascara beverages' shelf life and quality and their functional value due to the presence of probiotics and increased antioxidant compounds. The study aimed to optimize the fermentation conditions of cascara tea with water kefir seeds to improve the microbiota content of Lactobacillus sp, Bifidobacterium sp, and Saccharomyces cerevisiae and the antioxidant activity of the beverage. The method in this study used Response Surface Methodology (RSM) with a design selection of Central Composite Design (CCD), using two independent variables, namely fermentation time (X1) and Grain Concentration (X2), with a response of antioxidant activity (%). The findings indicated that a fermentation period of 48 hours and a grain concentration of 8.58% resulted in a probiotic drink exhibiting the maximum antioxidant activity of 65.53%. This optimum treatment resulted in a drink with IC50 antioxidant activity of 173.66 ppm, total phenol 477.24 mg GAE/mL, brightness value (L*) 30.69, redness (a*) 14.06, yellowness (b*) 29.57, pH 3.57, TPT 8.80 (ᵒBrix), viscosity 1.62 mPa.s, total LAB 8.54 log CFU/ml, and total yeast &amp; mold 10.93 log CFU/ml.

Tongkonan Papa Batu Tumakke Toraja: an Educational Center for the Culture and Traditions of the Toraja Society

This research discusses the role and evolution of Tongkonan Papa Batu in Toraja society, especially in Banga Village, from 1671 to 2023. Tongkonan Papa Batu is a typical Toraja traditional house which is unique in its architecture, carvings and cultural role. This research aims to understand cultural diversity, historical values, and changes in the function of Tongkonan Papa Batu from the past to the present. The research method used is a qualitative approach with case studies. Data was obtained through interviews and direct observation. Tongkonan Papa Batu is the main focus, with research covering aspects of architectural uniqueness, Toraja carvings, historical value, and changes in function from the past to modern developments. The results of the research show that Tongkonan Papa Batu in Banga Village has certain uniqueness, especially in its roof which is made of 1000 pieces of carved stone, creating a historical and cultural attraction. This Tongkonan has been around for approximately 700 years and is the center of traditional, ritual and religious activities. The novelty value of this research is that the change in the function of Tongkonan from a traditional house to a tourist destination also has a positive impact on the economy of the local community.

Green Online Food Delivery In Tourist Destinations: Analysis of Tourists' Value on Attitude And Purchase Intentions

This study investigates the implementation of environmentally friendly online food delivery services in tourist destinations, aiming to align with the principles of sustainable tourism. The primary objective is to analyze how tourist values influence their attitudes and purchase intentions toward online food delivery in these destinations. A quantitative research method is employed, utilizing Structural Equation Modeling-Partial Least Squares (SEM-PLS) to assess the impact of customer value on attitudes and purchase intentions toward Green Online Food Delivery (Green OFD). The study sample comprises 120 tourists with prior experience using online food delivery services during their visits to tourist destinations. The results indicate that the availability of Green OFD, derived from environmentally friendly local products, significantly affects tourists' attitudes and purchase intentions, especially among those who are mindful of sustainability issues. Tourists demonstrate positive attitudes and purchase intentions when they recognize functional, emotional, social, and epistemic values, including the feeling of contributing to environmental conservation by opting for Green OFD. The findings offer theoretical and practical insights for advancing sustainable tourism destination development.

Optimization and production of dairy-cereal grain-based probiotic beverage powder and its probiotic survivability under simulated gastric and pancreatic conditions

The present study uses maize flour and skimmed milk powder to develop a probiotic dairy-cereal-based food powder by spray drying and using response surface methodology for optimization. The processing parameters and ingredients, including inlet spray drying temperature (140–170 ℃), maize flour (80–120 g), and skim milk powder (60–80 g), were optimized against probiotic survivability count, moisture, sensory score, bulk density, and wettability as responses using response surface methodology. The optimum experimental conditions obtained to manufacture acceptable-quality powder were an inlet temperature of 151 ℃, an amount of maize flour of 102.74 g, and skim milk powder at 69.88 g. The probiotic survivability (8.35 log CFU/g) was observed at more than the recommended level (6.0 log CFU/g) due to the probiotic strain's microencapsulation by skim milk and maize flour components. The optimized powder had good nutritional and functional values and was observed to have acceptable water activity, surface structure, and color values. The shelf life of the product on the basis of probiotic survival (minimum 6.0 log CFU/g) was found to be 49 days at 4 ℃. Gastric and pancreatic survival was also observed at more than 50% in refrigerated conditions for up to 56 days of storage.

A multistart and recombination algorithm for finding many unique solutions to spatial aggregation problems

AbstractSpatial aggregation is essential for applications where data at low level spatial units such as census blocks are grouped into larger regions. This type of problem can be formulated as spatial optimization problems where the goal is to minimize the difference between the grouped regions. These problems are difficult to solve because of their computational intensity. In addition, these problems often have multiple, instead of singular, optimal solutions that have the same or similar objective function values but exhibit different spatial configurations. Existing solution methods often aim to find single solutions to these problems. In this paper, we discuss a new heuristic method that can be used to find a set of unique optimal or near-optimal solutions to spatial aggregation problems. The algorithm consists of two phases. A multistart phase first generates a pool of random solutions to a problem. The size of the pool is specified by the user and contains the number of solutions desired to be found. Each random solution is then improved using an efficient algorithm called give-and-take. The second phase uses a recombination algorithm to create new solutions based on solutions randomly selected from the pool. The worst solution in the pool will be replaced by the new solution if the latter is better and does not exist in the pool. We test this multistart and recombination algorithm (MSRA) using a variety of problems with different sizes and the results suggest the effectiveness of the algorithm in finding multiple unique optimal or near-optimal solutions.

Multiplex Asymmetric PCR by Combining the Amplification Refractory Mutation System with the Homo-Tag-Assisted Nondimer System.

Asymmetric PCR is widely used to produce single-stranded amplicons (ss-amplicons) for various downstream applications. However, conventional asymmetric PCR schemes are susceptible to events that affect primer availability, which can be exacerbated by multiplex amplification. In this study, a new multiplex asymmetric PCR approach that combines the amplification refractory mutation system (ARMS) with the homo-Tag-assisted nondimer system (HANDS) is described. ARMS-HANDS (A-H) PCR utilizes equimolar-tailed forward and reverse primers and an excess Tag primer. The tailed primer pairs initiate exponential symmetric amplification, whereas the Tag primer drives linear asymmetric amplification along fully matched strands but not one-nucleotide mismatched strands, thereby generating excess ss-amplicons. The production of ss-amplicons is validated using agarose gel electrophoresis, sequencing, and melting curve analysis. Primer dimer alleviation is confirmed by both the reduced Loss function value and a 20-fold higher sensitivity in an 11-plex A-H PCR assay than in an 11-plex conventional asymmetric PCR assay. Moreover, A-H PCR demonstrates unbiased amplification by its allele quantitative ability in correct identification of all 31 trisomy 21 samples among 342 clinical samples. A-H PCR is a new generation of multiplex asymmetric amplification approach with various applications, especially when sensitive and quantitative detection is required.