High Price Research Articles

Gene Therapy: A Revolutionary Step in Treating Thalassemia.

Beta thalassemia is an inherited blood disorder that results in inefficient erythropoiesis due to genetic mutation that leads to the reduction or absence of the hemoglobin beta-globulin protein. Approximately 8.5% of UAE residents suffer from β-thalassemia, a significant health and financial problem. The treatment options available for β-Thalassemia major are limited and associated with a wide range of complications. β-thalassemia gene therapy is emerging as a potential novel treatment option that eliminates the complications caused by the current long-term treatment modalities and the associated economic burden. This paper reviews the scientific literature related to emerging gene therapy for β-Thalassemia by analyzing all the articles published from January 2010 to December 2023 in the English language on Databases like PubMed, Scopus, ProQuest, and CINAHL. The use of gene therapy has demonstrated promising outcomes for a permanent cure of β-Thalassemia. To conclude, gene therapy is an innovative solution. It demonstrates a promising future, but does come with its own setbacks and is something that must be tackled in order to revolutionize it in the medical world. FDA-approved ZYNTEGLO is a potentially one-time curative treatment for β-Thalassemia. Although cutting-edge, its use is limited because of the high cost-a price of USD 2.8 million per patient.

Clinical research progress of lusutrombopag for the treatment of thrombocytopenia in chronic liver disease

Thrombocytopenia is one of the common complications with the hematologic system in patients with chronic liver disease, which often causes poor quality of life and high risk of bleeding, thereby affecting their diagnosis, treatment, and prognosis. Platelet transfusion can improve the patient's declining platelet count to a certain extent, but it has problems such as high price and being easy to cause immune rejection. Thrombopoietin (TPO), as an important cytokine that affects platelet production, can bind to TPO receptors and activate megakaryocytes to produce platelets. Lusutrombopag is a newly developed small-molecule TPO receptor agonist that can induce bone marrow progenitor cells to differentiate into megakaryocytes and increase platelet production, posing characteristics of oral convenience, safety and effectiveness; thus, it has been used in many countries and regions for the treatment of patients with chronic liver diseases concurrent with thrombocytopenia. Herein, the pharmacological features and clinical research are reviewed.

Diamond Surfaces with Lateral Gradients for Systematic Optimization of Surface Chemistry for Relaxometry - a Low-Pressure Plasma-Based Approach.

Diamond is increasingly popular because of its unique material properties. Diamond defects called nitrogen vacancy (NV) centers allow for measurements with unprecedented sensitivity. However, to achieve ideal sensing performance, NV centers need to be within nanometers from the surface and are thus strongly dependent on the local surface chemistry. Several attempts have been made to compare diamond surfaces. However, due to the high price of diamond crystals with shallow NV centers, a limited number of chemical modifications have been studied. Here, we developed a systematic method to investigate the continuity of different local environments with varying densities and natures of surface groups in a single experiment on a single diamond plate. To achieve this goal, we used diamonds with a shallow ensemble of NV centers and introduced a chemical gradient across the surface. More specifically, we used air and hydrogen plasma. The gradients were formed by a low-pressure plasma treatment after masking with a right-angled triangular prism shield. As a result, the surface contained gradually more oxygen/hydrogen toward the open end of the shield. We then performed wide-field relaxometry to determine the effect of surface chemistry on the sensing performance. As expected, relaxation times and thus sensing performance indeed vary along the gradient.

Availability and Pricing of Drugs Prescribed by Otolaryngologists Through a Direct-to-Consumer Pharmacy: Medicare Savings Implications.

High prescription drug prices can financially strain patients and insurers, with substantial clinical repercussions. In recent years, direct-to-consumer (DTC) pharmacies have emerged as potentially lower-cost alternatives for patients to fill prescriptions. We evaluated whether drugs commonly prescribed by otolaryngologists were available at a national DTC pharmacy (Mark Cuban Cost Plus Drug Company [MCCPDC]) and estimated potential Medicare savings from DTC pricing. We identified drugs and prices paid by Medicare Part D plans using the 2021 Drug Spending Dashboard. Our analysis included 16 generic drugs within the MCCPDC formulary, which offered lower prices for 14 (87.5%) drugs. If plans had secured MCCPDC pricing for all 16 drugs, Medicare patients and plans would have saved $2.9 billion (relative reduction: 62.3%) in 2021. Estimated total savings were greatest for budesonide-formoterol ($1.9 billion), dexlansoprazole ($464.6 million), and levothyroxine ($327.4 million). Otolaryngologists and insurers may consider utilizing DTC pharmacies with lower drug prices, though patients may face challenges projecting out-of-pocket costs across pharmacies, medications, benefit phases, and formulary tiers.

Advanced Therapy Medicinal Products: Availability, Access and Expenditure in Italy.

Advanced therapy medicinal products (ATMPs) are an innovative output of biomedical research, characterized by a high level of uncertainty on long-term efficacy and safety, elevated price tags and often complex administration. All these elements compounded make their European authorization, national price negotiation for reimbursement and subsequent dispensation and administration to the patient less straightforward and often less successful than for less innovative drugs. To assess if these hurdles have affected patient access and how are ATMPs used in Italy, we have analysed availability, access and expenditure of ATMPs in the period spanning from 2016 to 2023. We have analysed real world data on the duration of ATMP regulatory evaluations for authorisation and reimbursement, time to first patient access and expenditure for ATMPs through the Italian National Health System (INHS) expenditure data flow, as well as information on patient mobility and availability of health facilities specialized in administering ATMPs. Of the 18 ATMPs currently authorized in Europe, 9 are reimbursed by the INHS, but only 6 were actually used, generating a cumulative expenditure of roughly 300 Mln€ from 2016 to 2023, largely owing to CAR-T therapies. Time to patient access reaches an average of 340.6 days from the day publication in the official Gazette of the reimbursement decision to first patient treatment in one of the 107 health facilities authorized for ATMP administration, after an even longer evaluation time by regulatory agencies. Since the first reimbursement decision for an ATMP in Italy, back in 2016, these innovative drugs became progressively more and more available, both in terms of numbers and in terms of coverage across the country. Almost all Italian regions have at least one centre for ATMP administration and has performed a treatment in 2023. Notwithstanding their high per-treatment prices, ATMPs currently have a rather contained expenditure, however it is bound to keep growing in the next few years.

The Impact of Regional Socio-Economic Policy on Housing Accessibility for Different Population Groups

The article examines the impact of regional socio-economic policy on housing accessibility for various population groups. It analyzes how economic, social, and political factors shape housing conditions in different regions. Special attention is given to how high housing prices and a shortage of affordable housing options affect the quality of life and social mobility of the population, as well as the vulnerability of specific social groups such as young families, low-income individuals, and retirees. The consequences of limited housing accessibility, including increased social tension and inequality, are discussed. Recommendations for improving regional policy are provided, with an emphasis on the need for a comprehensive approach to achieve sustainable improvements in housing conditions.

Constraints in the Production and Marketing of Soybean

The production pattern as well as the consumption pattern of India has dramatically changed in the recent past. Soybean, a miracle crop with 40 per cent protein and 20 per cent oil has gained demand for consumption as well as oil extraction leading to increase in area under production. This paper has made an attempt to decode the constraints faced by farmers in the production and marketing of soybean in the study region so as to draw the attention of concerned authorities to come up with possible solution. The data related to agricultural year 2021-22 is extracted for present research. the primary data is collected by the personal interview method with the pre-tested schedule. Garrett’s ranking technique is used to interpret the data. It is inferred from the results that among production constraints non-availability or Inadequacy of required improved variety seeds in adequate quantities at the right time is the major constraint with the highest mean Garrett score of 74.34 followed by scarcity of labour during peak periods (Garrett score 51.12). Among various marketing constraints encountered by farmer respondents in soybean marketing in the study region. It was inferred that high price fluctuation was the major constraint with the highest mean Garrett score of 92.29 followed by untimely payment of sale proceeds (Garrett score 72.82). This article highlights the important constraints to be addressed to help farmers prosper in soybean production and marketing.

Synthesis and Characterization of Poly (Erythritol Sebacate)

AbstractErythritol is a sweetener polyol widely distributed in nature. Its industrial production is based on biotechnological fermentative processes using yeasts. It is used essentially in nutrition and pharmaceutical fields. However, due to its still high price, the use of erythritol is not widespread and is lower than that of other polyols. The use of erythritol for polymer synthesis remains largely unexplored by the scientific community. This work describes the synthesis and characterization of polyester, poly (erythritol sebacate) (PES), obtained by thermal polycondensation of erythritol and sebacic acid in a two steps approach. A prepolymerization step was realized at different temperatures (150 °C, 160 °C and 170 °C, respectively) followed by a cure step at 150 °C. It was found that using a higher temperature allows the same degree of polymerization (50%) to be achieved in a shorter period, but this leads to prepolymers with a more heterogeneous oligomeric composition. This is reflected in the final properties of the polymers after curing. Synthesis at 150 °C produced a polymer with superior mechanical performance (ultimate tensile strength: 0.5 MPa; Young’s modulus: 0.44 MPa: elongation at break: 123%) and higher chemical resistance to solvents than polymers synthesized at 160 °C and 170 °C. The glass transition temperature (Tg) is between − 20 and 0 °C for all polymers and density is 1.08 g/cm3. Based on these results, we believe that PES is a good elastomer with tunable properties and potential for selective absorption of molecules, such as ethanol, that could be useful for beverage industry and biotechnological applications. Graphical Abstract

Optimization of reversible solid oxide cell system capacity combined with an offshore wind farm for hydrogen production and energy storage using the PyPSA power system modelling tool

AbstractEight scenarios where high efficiency reversible solid oxide cells (rSOC) are combined with an offshore wind farm are identified. Thanks to the PyPSA power system modelling tool combined with a sensitivity study, optimized rSOC system capacities, hydrogen storage capacities, and subsea cable connection capacities are investigated under various combinations of rSOC system capital cost, prices paid for hydrogen, and electricity prices, which give indications on the most profitable scenario for offshore hydrogen production from a 600 MW wind farm situated 60 km from shore. Low electricity prices (yearly average 45 £/MWh) combined with mild fluctuations (standard deviation 6 or 13 £/MWh) call for dedicated hydrogen production when the hydrogen price exceeds 4 £/kg. High electricity prices (yearly average 118 or 204 £/MWh), combined with extreme fluctuations (standard deviation between 73 and 110 £/MWh), make a reversible system economically profitable. The amount of hydrogen which is recommended to be reconverted into electricity depends on the price paid for hydrogen. Comparison of the optimized cases to the default case of a wind farm without hydrogen production improved profit by at least 3% and up to 908%. Comparison to the default case of dedicated hydrogen production, showed that in the case of low hydrogen prices, an unprofitable scenario can be made profitable, and improvement of profit in the case of a profitable default case starts at 4% and reaches numbers as high as 324%.

Evaluating the levelized costs and life cycle greenhouse gas emissions of electricity generation from rooftop solar photovoltaics: a Swiss case study

Abstract The transition to renewable energy sources is pivotal in addressing global climate change challenges, with rooftop solar photovoltaic (PV) systems playing a crucial role. For informed decision-making in energy policy, it is important to have a comprehensive understanding of both the economic and environmental performance of rooftop solar PV. This study provides a high-resolution analysis of existing rooftop solar PV systems in Switzerland by assessing the robustness of the potential estimation to properly derive the amount of electricity generated by individual systems, and subsequently quantify the levelized cost of electricity and life cycle greenhouse gas (GHG) emissions of electricity generation from PV and compare them with those of grid electricity supplies. Our results indicate substantial geographical variations between potential estimations and real-world installations, with notable underestimations of approximately 1.3 Gigawatt-peak, primarily for systems around 10 kWp in size, mainly due to the quality of input data and conservative estimation. The study finds that in many regions and for most of the installed capacity, electricity generated from rooftop PV systems is more economical than the grid electricity supply, mainly driven by factors including high electricity prices, larger installations and abundant solar irradiance. The GHG emissions assessment further emphasizes the importance of methodological choice, with stark contrasts between electricity certificate-based approaches and others that are based on the consumption mix. This study suggests the need for more accurate geographical potential estimations, enhanced support for small-scale rooftop PV systems, and more incentives to maximize the potential of their roof area for PV deployment. As Switzerland progresses towards its renewable energy goals, our research underscores the importance of informed policymaking based on a retrospective analysis of existing installations, essential for maximizing the potential and benefits of rooftop solar PV systems.

Sustainable Strategies for Responsible Fashion: Adopting the Reduce, Reuse and Recycle Practices

The fashion sector, which contributes approximately 10% to global carbon emissions, exerts a considerable influence on the environment. The rapid pace of fast fashion has intensified both waste generation and resource utilization, thereby rendering sustainable practices an essential requirement. This study examines sustainable methodologies within the fashion industry, with particular emphasis on the implementation of the Reduce, Reuse, and Recycle (RRR) framework. The article explores how global and local brands in Delhi incorporate such strategies into their operations and gauges consumer awareness and behavior towards sustainable fashion. Studies indicate that barriers faced by brands while trying to achieve sustainability include the high price tag of sustainable materials, minimal recycling facilities, and the price sensitivity of the consumer. Hypothesis testing was used to examine whether the consumer behavior was significant on their purchasing decisions and sustainability. The results reflected that, while there is indeed a growth in awareness, consumers' intentions and actual purchasing behaviors seem to be quite divergent concerning the acceptance of sustainable fashion. Furthermore, the paper makes workable recommendations to make the fashion industry more sustainable by focusing on policy measures, innovations in brands, and education for the consumer. Key Words: sustainable fashion, reduce reuse recycle, consumer behavior, competitive advantage, supply chain sustainability

Empirical Study on BYD Stock Price Prediction Based on LSTM Model

This study employs Long Short-Term Memory (LSTM) neural network models for stock price prediction. LSTM models excel in managing nonlinearities and time-series dependencies in data, thereby enhancing the accuracy of stock price forecasts, reducing investment risks, and increasing returns. Investors can reasonably use the LSTM model to predict stock prices and obtain greater returns. The research utilizes eight years of historical data from BYD, including opening prices, closing prices, highest prices, lowest prices, and trading volumes, as training data. By adjusting various hyperparameters such as epochs, learning rates, and training-test ratios, the study analyzes their impact on the predictive accuracy of the model and identifies optimal configurations through comparative experimental methods. We found that the best parameters were when epoch number was 25, training ratio was 90:10 (minimum mean square error was 0.00175572) and 4 years of training data was selected as the training set (minimum mean square error was 0.00146477).

Supramolecular nanomedicine in the intelligent cancer therapy: recent advances and future.

In recent years, the incidence of cancer has been increasing year by year, and the burden of the disease and the economic burden caused by it has been worsening. Although chemotherapy, immunotherapy, targeted therapy and other therapeutic means continue to progress, they still inevitably have problems such as high toxicity and side effects, susceptibility to drug resistance, and high price. Photothermal therapy and photodynamic therapy have demonstrated considerable advantages in cancer imaging and treatment due to their minimally invasive and selective nature. However, their development has been constrained by challenges related to drug delivery. In recent times, drug delivery systems constructed based on supramolecular chemistry have been the subject of considerable interest, particularly in view of their compatibility with the high permeability and long retention effect of tumors. Furthermore, the advantage of dissociating the active ingredient under pH, light and other stimuli makes them unique in cancer therapy. This paper reviews the current status of supramolecular nanomedicines in cancer therapy, elucidating the challenges faced and providing a theoretical basis for the efficient and precise treatment of malignant tumors.

Assessment, Characterization, Identification and Prioritization of Major Constraints and Potentials of Three Selected Community Watersheds of Agarfa District, Bale Zone, Oromia, Ethiopia

The severity of land degradation due to different socioeconomic and biophysical pressures is a key problem encountered in watersheds. In addition, the lack of research-based references to a given community watershed, particularly with regard to socioeconomic and biophysical aspects, leads to the failure of the interventions. This study aimed to assess and characterize the socioeconomic and biophysical conditions of three selected (Oda Chefo, Wabe Seada, and Oda Nagelle) Community Watersheds of the Agarfa District of Bale Zone, Oromia, Ethiopia. Furthermore, it identifies and prioritizes constraints and opportunities for scientists, planners, intervention, impact analysis, and project performance evaluation. Communities' watersheds were selected and delineated, followed by household interviews, focus group discussions, and biophysical characterization to generate data. The study used a random sampling technique and a total of 121 sample sizes for socioeconomic data, watershed delineation, slope classification, soil type, and LULC classification map developed based on the preliminary outlet identified with the help of GPS reading and ArcGIS 10.5 software. The socioeconomic parameters were analyzed using SPSS version 20 software. The result of the baseline survey identified key constraints such as soil erosion, soil fertility decline, deforestation and climate change, feed and fodder shortage, livestock disease, human disease, unemployment, food insecurity, water shortage, lack of credit access, market, road, cooperatives, high input price, pest and disease, yield decline and lack of irrigation access. The results revealed that the availability of the labor force, local market accessibility, transport services, informal farmer cooperatives, livestock clinics, youth and women associations, and informal intuitions are the main opportunities in selected community watersheds. In conclusion, baseline surveying before any watershed management practice intervention plays ....

Beyond yield: Unveiling farmer perceptions and needs regarding weed management in Bangladesh.

More than 3.5 billion people depend on rice for more than 20% of their daily calories. Globally, Bangladesh is the third largest rice producer. With 171 million people, Bangladesh is also among the top consumers. Local rice production not only affects the country's food security but also influences the global rice trade. A large yield gap has been reported due to weeds. Traditional hand weeding is very costly because of labor shortages resulting from industrialization. Limited data showed a higher yield and profits when using herbicides. However, quantitative data on various aspects of weed management and associated issues representing the country's variable rice ecosystem, which is characterized by 30 agroecological zones, are lacking. We collected data on weed management practices from 865 farmers and 69 agrochemical shops covering all 30 agro-ecological zones (AEZs) through a structured survey. We observed a significant regional variation among various parameters. Approximately 82% of farmers use herbicides, and few rely solely on either manual weeding or herbicides. Pre-emergence herbicides are the predominant. Application procedures are almost the same across the country. Although 40% of farmers had secondary and higher-level education, most depend upon local sellers' suggestions rather than reading the product label regarding the dose. Few farmers consider herbicides hazardous, and respondents rarely perceive any environmental impact. Pyrazosulfuron ethyl (35%) and acetochlor-containing bensulfuron methyl (27%) are the most-used chemical species. Approximately 45% of farmers observed that herbicides suppress early seedling growth. Additional fertilizer is required to compensate for this. Multiple weed species that are difficult to control through presently used herbicides were noted in all AEZs. Around 64% of farmers observed that herbicide application contributes to higher yields as a function of timely weeding. Cost comparisons showed that high labor prices will make rice cropping unprofitable in most parts of the country if herbicides are eliminated. Clear adverse effects of pre-emergence herbicides on early crop growth implied the potential benefits of broad-spectrum herbicide-tolerant genetically engineered (GE) rice to sustain the country's food security. Additionally, such GE rice could incentivize the adoption of alternate wet and dry irrigation methods, leading to water and cost savings.

MODELING COOKING OIL PRODUCTION WITH CRUDE PALM OIL (CPO) PRICE USING TRANSFER FUNCTION

Indonesia is the largest palm oil producer in the world. However, Indonesia is currently experiencing a significant scarcity of cooking oil for the basic needs of the community. One of the causes of this problem is the high price of crude palm oil (CPO). The price of CPO affects the production of cooking oil produced by the cooking oil industry. CPO prices are released in the form of daily prices in the market which form a time series pattern that affects the production of cooking oil which is also produced daily in the industry. To forecast cooking oil production from CPO prices can be done with a transfer function model. The stages of analysis are forming an ARIMA model, processing input time series whitening, and output time series whitening. Checking white noise by plotting ACF αt, ACF βt. Make a CCF graph and determine the order (r,s,b). Estimate the first parameter of the disturbance series (nt) and identify the disturbance series (nt) in the ARIMA model. Next, perform a diagnostic check of the transfer function model by checking the cross-correlation between Xt & Yt and checking the autocorrelation of Xt and Yt for model feasibility testing. Then make an ACF graph of the transfer function model's residuals to test the model's suitability. The final stage is to select the best model based on the smallest AIC value, ensuring the accuracy of the selected model using MAPE value, and making predictions. As a result, the model for CPO price is an input series variable, and cooking oil production is an output series variable. However, the MAPE result was 100%, indicating that the model is not very accurate for this data. Nevertheless, by ignoring the result and continuing with the forecasting, this model shows that the forecasted values for cooking oil based on CPO price have increased from the form of the model obtained for the time data from 2013 to 2022.

Quantum Variational Autoencoders for Predictive Analytics in High Frequency Trading Enhancing Market Anomaly Detection

High-frequency trading (HFT) markets, characterized by high and frequent price fluctuations, necessitate the use of anomaly detection mechanisms to monitor the market and ensure the efficacy of the trading system. This paper aims to discuss the possibility of improving predictive analytics in HFT using quantum computing with the help of the Quantum Variational Autoencoder (QL-VAE). As a result, we propose a new direction for further research on quantum VAEs in HFT that involves their direct comparison with classical VAEs. The application of quantum models for mastering the intensive data flow of HFT is conditioned by the advantages of quantum computation in comparison to classical ones, which are more suitable for handling multidimensional data arrangements and intricate topologies. Our detailed study methodology involved examining various aspects of HFT data, such as order book features and stock price characteristics. We normalized all the data and reduced some of its dimensions. We established quantum VAEs using Pennylane, and configured the classical VAEs using TensorFlow. When it comes to market anomalies, the results of the comparative analysis showed higher accuracy, recall, and F1 rate in quantum VAEs compared to classical models when it comes to the analysis of market anomalies. Therefore, the quantum model's ability to handle high-dimensional data makes it a better fit for HFT than classical methods. These studies suggest that quantum VAEs could significantly improve anomaly detection in the financial market.

Nano-organic polymers with rich redox sites as anode materials for dual-ion batteries

Organic electrode materials (OEMs) are considered one of the potential electroactive materials used in rechargeable batteries due to their high availability, low price, and sustainability. Nevertheless, the high solubility of their organic small molecules and their low electrical conductivity limit their practical applications. In this study, porous nanorods organic conjugated polymer were successfully prepared by a solvothermal method using 1,4,5,8-naphthalenetetracarboxylic anhydride and azodicarbonamide as precursors for dual-ion battery anodes. The successful synthesis of polymer extends the π-conjugated structure, effectively reducing its solubility in organic electrolytes. Moreover, the azo group (NN) in the polymer was easily conjugated with the adjacent aromatic ring, increasing the utilization of the active site, thereby improving the conductivity of the material so that the polymer has a high discharge capacity (90.5 mAh g−1 at 2 C, up to 96 % capacity retention). Even with a high rate of 10 C, the polymer still exhibits excellent electrochemical performance (50.0 mAh g−1 at 270 cycles). Moreover, reaction kinetics tests show that the electrode material was based on a pseudocapacitive storage mechanism influenced by diffusion and double-layer control. Therefore, the design strategy of such a material paves the way for the application of dual-ion batteries.

Assessing the economic viability and factors affecting farmer adoption of black soldier fly larvae as broiler feed in Bangladesh: a comparative analysis

Despite its impressive economic growth, Bangladesh faces a persistent malnutrition challenge, costing over US$1 billion annually. The broiler industry plays a vital role in addressing nutritional needs by providing essential protein through meat and eggs. However, small and medium enterprises (SMEs) in this sector struggle with high feed prices, impacting their profitability and growth. Black Soldier Fly Larvae (BSFL) offers a sustainable and cost-effective alternative to conventional poultry feed, addressing both rising costs and environmental impacts. This study examined different aspects of BSFL, such as broiler feed, and farmers' perceptions of them in some selected areas of the Sylhet region of Bangladesh. A total of 60 respondents from three subdistricts in Sylhet district were selected using the purposive sampling technique. Data were analyzed through descriptive statistics, discriminative power value, binary logistic regression model, and profitability equation. Among the respondents, 70% (42) had a favorable attitude toward BSFL, and 30% (18) had a highly favorable attitude towards BSFL. Among eight socioeconomic attributes examined for the likeliness of adopting BSFL as broiler feed, the respondents' average income (p < 0.01), years of schooling (p < 0.05), and years of broiler farming experience (p < 0.01) were found to be significant. Further, farms using 50% BSFL and 50% traditional feed had a net return of BDT (Bangladeshi Taka) 35,045.67 (USD 419.71), higher than those using traditional feed, which had a net return of BDT 29670.67 (USD 355.38). Further, farms using 50% BSFL and 50% traditional feed had a benefit–cost ratio (BCR) of 1.16, compared to other farms with a BCR of 1.11. The study also found some problems causing slow growth in the adoption rate of BSFL in the study region, such as lack of training programs, extension campaigns, the uncertainty of input supply, and financial assistance. The study suggests making adequate measures to raise awareness about the profitability of BSFL as broiler feed, conducting training at the root level, and making inputs easily available to farmers.

Prefer cheap or expensive products? Shopping stage matters.

E-commerce platforms generally provide consumers with the function of virtual shopping carts to help them store interested products. Although about 80% of online consumers intends to purchase after adding products to their shopping cart, the abandonment rate of cart products has been up to 70%. It is important to understand how to improve consumer attitude toward product both before and after cart use. Building on the relevant literature and the consumer shopping goal stages theory, this study aims to examine the effects of product price, as one of the most indispensable and important information in online shopping, on consumer attitudes toward product at different decision-making stages in online shopping (i.e., add-to-cart stage and place-an-order stage), and the mediating roles of perceived product quality and monetary sacrifice. The findings from behavioral experiment suggest that high price leads to a more positive attitude toward product at add-to-cart stage by strengthened perception of high product quality, while results in a less positive product attitude at place-an-order stage because of the enhanced perception of monetary sacrifice. Both theoretical contributions and practical implications are discussed.