Product Selection Research Articles

Electrode Selection and Catalyst Evaluation in Hydrogen Production from Alkaline Water Electrolysis: A Review

Generating hydrogen, through alkaline water electrolysis shows promise as an energy source. This review delves into the significance of choosing the electrodes and evaluating catalysts to enhance the efficiency and performance of hydrogen production. It summarizes the activation energy and losses linked to reactions in alkaline electrolysis emphasizing the necessity for electrode materials and catalysts. The review also touches upon challenges such as electricity consumption and platinum group metal based electro catalysts proposing various electrode materials and catalysts with superior activity and selectivity for hydrogen production. Additionally, it discusses electrolysis cell designs that facilitate separating by-products from hydrogen gas. The study reveals that with low over potentials of 70, 318, and 361 mV at 10, 500, and 1000 mA cm−2, respectively, NiOx/NF exhibits strong alkaline hydrogen evolution activity, resulting in great performance in alkaline HER. Moreover, it outlines advancements in alkaline water electrolysis technology focusing on enhanced efficiency and reduced operating costs associated with electricity consumption. Overall this review underscores the role of selecting electrodes and evaluating catalysts in optimizing hydrogen production from alkaline water electrolysis.

Complete Genomic Landscape Reveals Hidden Evolutionary History and Selection Signature in Asian Water Buffaloes (Bubalus bubalis).

To identify the genetic determinants of domestication and productivity of Asian water buffaloes (Bubalus bubalis), 470 genomes of domesticated river and swamp buffaloes along with their putative ancestors, the wild water buffaloes (Bubalus arnee) are sequenced and integrated. The swamp buffaloes inherit the morphology of the wild buffaloes. In contrast, most river buffaloes are unique in their morphology, but their genomes cluster with the wild buffaloes. The levels of genomic diversity in Italian river and Indonesian swamp buffaloes decrease at opposite extremes of their distribution range. Purifying selection prevented the accumulation of harmful loss-of-function variants in the Indonesian buffaloes. Genes that evolved rapidly (e.g., GKAP1) following differential selections in the river and swamp buffaloes are involved in their reproduction. Genes related to milk production (e.g., CSN2) and coat color (e.g., MC1R) underwent strong selections in the dairy river buffaloes via soft and hard selective sweeps, respectively. The selective sweeps and single-cell RNA-seq data revealed the luminal cells as the key cell type in response to artificial selection for milk production of the dairy buffaloes. These findings show how artificial selection has been driving the evolutionary divergence and genetic differentiation in morphology and productivity of Asian water buffaloes.

Evolution of whole blood trauma resuscitation in childbearing age females: practice patterns and trends

BackgroundThe use of low titer group O whole blood (LTOWB) for resuscitation of patients with traumatic hemorrhage is becoming increasingly common. Practices regarding the administration of RhD-positive LTOWB to childbearing...

Breeding sugar beet for the resistance to abiotic environmental factors

Relevance. The selection for productivity and stability on different stages in the breeding process includes an assessment of the adaptive capacity and genotypes ecological stability. Therefore breeding for the resistance to abiotic environmental factors is closely connected with the adaptive breeding, which has received special attention in recent years.Methodology. The work was carried out at the “A.L. Mazlumov All-Russian Research Institute of Sugar Beet and Sugar” in 2011-2020. Male-sterile forms of sugar beet were crossed with fertile diploid multi-seeded pollinators (ARRISBS selections) by topcross method. The resulting hybrids were assessed for yield, sugar content and sugar collection according by standard methods used at the “A.L. Mazlumov ARRISBS”. It is carried out the annual work, including selection of the best and rejection of the worst options for the studied characteristics. An assessment was made of lines and hybrid combinations of sugar beet for the resistance to a complex of unfavorable natural and climatic factors based on the characteristics of yield, sugar content and seed productivity.Results. The results of improving selections over ten years show an increase in the weight of the root crop and the sugar content for the original single-seeded and multi-seeded materials. Single-seeded (MS-2113, MS-Perla) and multi-seeded (OP-15465, OP-15676, OP-15202) lines with high combining ability in terms of yield and sugar content of root crops were identified. An increase in the resulting parameter - sugar collection - was noted by 2020 (to 8,8-9,0 t/ha), illustrating the positive dynamics of the breeding process of sugar beet for plants of the first life year. An increase in the weight of 1000 seeds (to 13,4-13,9 g) and separate fruiting (to 98-99%) was shown during the breeding process for plants of the second life year.Conclusion. The studied hybrid combinations have a wide reaction rate to a complex of natural climatic factors: elevated temperatures in combination with high and low humidity.

Investigation of the possibility of using sulfur-containing oil products as flotation reagents components

ABSTRACT Due to the reduction in the geological reserves of critical raw materials and the increased dependence on low-grade sources, it has become urgent to improve technologies for beneficiation of non-ferrous and rare metal ores. The synthesis of new flotation reagents based on cheap domestic raw materials can be an option for modernising the flotation method. The article discusses the production of flotation reagents based on sulfur-containing oil products by ultrasonic cavitation. The emphasis is placed on the selection of oil products, which is based on the study of their qualitative and quantitative composition. Sulfur-containing oil products with the same sulfur content but different form of location is considered. It has been established that despite the virtually identical sulfur content, only sulfur-containing products of a certain molecular structure can be used to obtain flotation agents. Optimal conditions for ultrasonic cavitation and combinations of components in the compositions have been developed. The flotation reagent obtained under optimal conditions as a collector was tested for flotation of gold-bearing raw materials. It has been shown that its use made it possible to increase the degree of gold recovery into rougher concentrate by 4.8% and 7.5% compared to the classical one.

Is oviposition time and oviposition interval associated with the deposition of cuticle on the hen’s egg?

ABSTRACT 1. The cuticle acts as a barrier to prevent microbial penetration of the eggshell. The reduction in the oviposition interval with selection for egg production and the activity of clock genes in the oviduct led to testing the hypothesis that the interval between successive oviposition of eggs would be related to the deposition of the cuticle. 2. There was oviposition interval and cuticle deposition data from 2140 eggs from 5 White Leghorn pure lines for over 7 d. The association between oviposition interval and cuticle deposition was assessed using a random slopes model for each hen. 3. The time of oviposition was 05:37 h:m, about 2.5 h after lights on. Differences in oviposition time between lines were significant (P=0.025). Oviposition interval was slightly greater than 24 h at 24:06 h:min with significant differences between lines (P = 0.003). The variance was low and the maximum difference between lines for oviposition interval was only 11 min. Cuticle deposition was 28.87ΔE*ab with no differences between lines. 4. The number of eggs a hen laid had an effect on the oviposition interval (P = 0.004), being shortest in hens laying seven eggs (24:01 h:m) than those laying six (24:08) or five eggs (24:14). 5. There was a significant positive association between cuticle deposition and oviposition interval (P = 0.007) with a minimal increase of 0.79 ΔE*ab in cuticle deposition for each additional hour of oviposition interval. Heritability for cuticle deposition in this study was 0.48 but heritability was not measurable for oviposition interval and was not different from zero for oviposition time. 6. Combined with a difference between the top and tail of the distribution for cuticle deposition, there was evidence for a significant but relatively small relationship between oviposition interval and deposition of cuticle on the egg. This may have contributed to some reduction in cuticle coverage as the oviposition interval approached 24 h, but it seems unlikely that it was a major component.

Research on Consumer Purchase Intentions Towards VR Shopping and Traditional E-commerce in the Post-Pandemic Era

In the post-pandemic era, significant changes have occurred in consumer shopping habits and preferences. This study investigates consumer purchase intentions towards virtual reality (VR) shopping and traditional e-commerce. Findings reveal that consumers are increasingly inclined towards novel and convenient shopping experiences. VR shopping, with its immersive nature, attracts a large number of young and tech-savvy consumers. Meanwhile, traditional e-commerce maintains its importance due to a wide selection of products and stable shopping environments. The pandemic accelerated consumer acceptance of online shopping, and VR shopping, as an emerging technology, is gradually unleashing its market potential. However, both methods have their advantages and disadvantages, and consumers consider personal needs, technological acceptance, and shopping experience factors in their purchase decisions. Using collected samples, this thesis analyzes consumer purchase intentions towards VR shopping and traditional e-commerce, and proposes recommendations with identified issues as the basis.

Let long-term interests talk: An disentangled learning model for recommendation based on short-term interests generation

In e-commerce recommendation systems, users’ long-term and short-term interests jointly influence product selection. However, the behavioral conformity phenomenon tends to be more prominent in short-term sequences, and the entanglement of true preference and popularity conformity data confuses the user’s real interest needs. To address this issue, we propose a sequential recommendation model called DFRec to disentangle short-term interests from popularity bias. By leveraging long-term interest trends, the model promotes the separation of short-term interests from popularity-driven deviations, thereby reducing the impact of popularity interference in short-term sequences. Firstly, we propose a Disentangled Frequency Attention Network(DFAN) to address the entanglement between real sequence features and conformity data in users’ short-term behavioral sequences. The approach clarify the non-entangled representation of the user’s short-term interest and conformity on the basis of long-term interest trends. Secondly, in order to capture the real long-term interest characteristics of users, this paper suggests using a Learnable Filter(LF) to filter the noise frequencies in long-term sequence. The method decouples the horizontal and vertical directions of the sequence and filters out the noise in both directions. Finally, consider the importance of the two interests characteristics is dynamic, we propose a joint learning framework with dual embeddings to balance and fusion these two features of users’ interests. Experimental results on three public datasets demonstrate that our model effectively captures dynamic user interests and outperforms six baseline models.

Directed Evolution of an Adenylation Domain Alters Substrate Specificity and Generates a New Catechol Siderophore in Escherichia coli.

Nonribosomal peptide synthetases (NRPS) biosynthesize numerous natural products with therapeutic, agricultural, and industrial significance. Reliably altering substrate selection in these enzymes has been a longstanding goal, as this would enable the production of tailor-made peptides with desired activities. In this study, the NRPS EntF and the associated biosynthesis of the siderophore enterobactin (ENT) were used as a model system to interrogate substrate selection by an adenylation (A) domain. We employed a directed evolution pipeline that harnesses an in vivo genetic selection for siderophore production to alter A domain substrate selection. Surprisingly, this led to the formation of a new, physiologically active catechol siderophore in Escherichia coli. We characterized the enzyme variants in vitro and demonstrated transferability of our findings to the well-studied TycC and GrsB NRPSs. This work identifies critical binding pocket residues that allow for altered substrate selection in our model system and expands upon our understanding of iron acquisition in E. coli.

Heat stress on dairy cattle

Climate change significantly impacts the production, health, welfare, and survival of farm animals. The prolonged heat stress is a major concern in tropical and subtropical regions. Heat tolerance enables livestock to maintain thermal balance under extreme climatic conditions, thus ensuring productivity and animal welfare. There is a feasibility of genetic selection for heat tolerance to improve production and reproduction traits. This genetic selection may provide enduring advantages in maintaining productive and reproductive performances as heat stress is a heritable trait. To identify and integrate traits associated with thermal tolerance into breeding programs, it is imperative to have a robust animal performance records and meteorological data. Temperature humidity index (THI) is a widely used biomarker for assessing heat stress in dairy cows, as it combines air temperature and relative humidity. In regions with sparse weather station coverage, NASA POWER satellite data is a viable alternative for obtaining meteorological information to calculate THI and evaluate heat stress impacts. There are multiple models for calculating THI and those focusing on humidity being more effective in humid climates. Genetic models, particularly reaction norm models based on random regressions, were introduced for estimating genetic parameters for heat tolerance in cattle. These models help to understand genotype-environment interactions and non-linear relationship between THI and milk yield reduction. The continued genetic selection for milk production without considering heat tolerance traits increases susceptibility to heat stress, emphasizing a need for comprehensive selection objectives. This review underscores the importance of incorporating heat tolerance traits into genetic selection for dairy cattle and highlights various biomarkers and genetic models used to estimate heat tolerance. Incorporating these traits into breeding goals is essential to improve thermotolerance while maintaining productivity, bolstering resilience of cattle to climate change.

Unveiling the Impact of Emotional Regulation on Academic Procrastination

This study examines how consumer perceptions of the Skintific brand, product quality, and pricing influence product selections among 110 FBHIS students at Muhammadiyah University of Sidoarjo. Using online questionnaires and quantitative analysis methods, including validity and reliability tests, multiple linear regression, and t-tests, the research reveals significant relationships between brand image, product quality, pricing, and consumer purchasing decisions. The findings emphasize the importance of these factors in shaping consumer behavior, particularly among university students, and offer insights for skincare companies targeting this demographic to enhance brand image, maintain product quality, and offer competitive pricing strategies. Highlight: Quantitative Analysis: Validity, reliability tests, regression for consumer behavior research. University Sample: Investigated FBHIS students' purchasing choices at Sidoarjo University. Strong Associations: Brand image, product quality, pricing linked to consumer decisions. Keywoard: Consumer perceptions, Skintific brand, Product quality, Pricing, Decisions

The Effect of Product Selection in Live Streaming on Firm Performance: The Roles of Interaction, Scenario, and Brand-Consumer Congruence

ABSTRACT Purpose Live streaming e-commerce is an emerging e-commerce model within the realm of the mobile Internet, based on video-centric social media interaction. However, there is currently a lack of in-depth research on live streaming from a business perspective and the impact of product selection in live streaming on firm performance. To fill these gaps, the current study investigated how brand – consumer congruence moderates the influence of product selection in live streaming on firm performance and how this effect varies across retailers. Methodology/approach The model and hypotheses were tested by applying partial least squares regression to data collected from 302 online retailers in the Chinese live streaming market. Findings Product selection in live streaming had a significant positive impact on firm performance. Brand – consumer congruence in live rooms partially mediated the relationship between product selection and firm performance. Live room scenario matching and live room interaction had significant positive moderating effects on the main effect of product selection in live streaming on firm performance. Research implications The literature has focused on the impact of live streaming on customer purchase behavior. Few studies have explored the value of live streaming from a business-to-business marketing perspective. Our findings offer theoretical insights into the relationship between product selection and firm performance. Originality/value/contribution This is the first study to examine the value of product selection in live streaming. In addition, it reveals how product selection affects firm performance through brand – consumer congruence. Practical implications This study has implications for online retail managers based on the effect of product selection in live streaming on firm performance and the roles of brand – consumer congruence, interaction, and scenario in live streaming of business-to-business marketing.

The Impact of Consumer Perceptions of Privacy and Security Risks on Re-purchasing Intention for Online Shopping in Chiang Mai Province, Thailand

Background and Aim: Chiang Mai Province, a growing economic center in northern Thailand, is a preferred mode of consumerism due to its convenience and wide product selection, but faces barriers to adoption due to concerns about these risks. This research investigates the impact of consumer perceptions of privacy and security risks on re-purchasing intention for online shopping in Chiang Mai Province, Thailand. The study aims to understand how these perceptions influence consumer behavior in the digital marketplace. Materials and Methods: A quantitative cross-sectional survey design was employed, with data collected from 385 online shoppers in Chiang Mai Province. The research instrument consisted of a structured online questionnaire assessing perceived privacy and security risks, as well as re-purchasing intentions. Multiple regression analysis was used to test the hypotheses. Results: The findings reveal that both perceived privacy and security risks significantly influence re-purchasing intention. Consumers who perceive higher levels of privacy and security are more likely to engage in repeat online purchases. The model explained a substantial proportion of the variance in re-purchasing intention, highlighting the importance of these factors in shaping online shopping behavior. Conclusion: This research provides valuable insights for e-commerce businesses and policymakers in Chiang Mai Province. By prioritizing and investing in measures that enhance consumer perceptions of privacy and security, businesses can foster trust, encourage repeat purchases, and drive sustainable growth in the online marketplace.

Different transcriptomic and metabolomic analysis of Saccharomyces cerevisiae BY4742 and CEN.PK2-1C strains.

To establish efficient yeast cell factories, it is necessary to understand the transcriptional and metabolic changes among different yeasts. Saccharomyces cerevisiae BY4742 and CEN.PK2-1C strains are originated from different yeast strains and are commonly used as model organisms and chassis cells in molecular biology study and synthetic biology-based natural production. Metabolomic analysis showed that the BY4742 strain produced higher levels of phenylalanine, tyrosine than CEN.PK2-1C, while CEN.PK2-1C produced high levels of indoleacetaldehyde, indolepyruvate. Transcriptomic analysis showed that the two strains showed large differences in the glycolysis pathway and pyruvate metabolism pathway. CEN.PK2-1C had greater glycolysis flux than BY4742, whereas BY4742 has greater flux in the pathway of pyruvate metabolism to produce fumarate. These findings provide a basis knowledge of the metabolomic and transcriptomic differences between BY4742 and CEN.PK2-1C strains, and also provide preliminary information for strain selection for molecular biology study and synthetic biology-based natural product production.

Weighted Aggregated Sum Product Assessment Method Based on Aczel–Alsina T-Norm and T-Conorm Under Bipolar T-Spherical Fuzzy Information: Design Scheme Selection Application

Selecting optimal design solutions is inherently complex due to multiple criteria encompassing users’ uncertain needs, experiences, and costs. This process must manage uncertainty and ambiguity, making developing a scientific, rational, and efficient guidance method imperative. Bipolar T-spherical fuzzy sets (BTSFS), a hybrid of bipolar fuzzy sets and T-spherical fuzzy sets, effectively handle the bipolarity inherent in all elements. In this work, we propose a Weighted Aggregated Sum Product Assessment (WASPAS) method based on BTSFS and the Aczel–Alsina T-norm (AATN) and T-conorm (AATCN) to address the problem of selecting conceptual design solutions. We first establish operational rules for BTSFS using AATN and AATCN and introduce weighted aggregation operators (BTSFAAWA) and geometric aggregation operators (BTSFAAWG) while examining fundamental properties, such as idempotency, boundedness, and monotonicity. Subsequently, we propose a two-stage BTSFS-based WASPAS method; criterion weights are calculated using the BTSFAAWA operator, and final rankings are obtained through comprehensive calculations using both the weighted sum method (WSM) based on BTSFAAWA and the weighted product method (WPM) based on BTSFAAWG. Finally, we validate the effectiveness of our method through a case study of the selection of cultural and creative products. Sensitivity and comparative analyses are conducted to demonstrate the advantages of our approach.

Optimizing Eri Silkworm Productivity: Evaluating the Performance of Ecoraces of Samia ricini (Donovan) in the East Coastal Condition of Tamil Nadu, India

This study investigated raising Eri silkworms, Samia ricini (Donovan) a multi-voltine, domestic moth, traditionally bred indoors and known for its spun silk, in the eastern coast of Tamil Nadu, India. Eri silkworms typically thrive in the northeast regions, but the growing demand for Eri silk has led to exploring new locations for their production. The eight ecoraces of Eri silkworm i.e. C2, Borduar, Khanapara, Mendipathar, Dhanubanga, Nongpoh, Borduar and Titabar were selected for this study reared on castor plants under varied climatic conditions in Tamil Nadu. The economic and grainage characters such as larval duration, matured larval weight, survival rate, cocoon weight, shell weight, shell ratio, effective rearing rate, rate of pupation, rate of moth emergence, fecundity and hatchability were analyzed. This study revals that C2 ecorace consistently outperformed the other ecoraces, exhibiting superior growth parametrics, cocoon quality, and silk production potential.Findings indicate that optimal temperature and humidity conditions are crucial for enchancing performace, particularly for sensitive ecoraces like Barpathar and Nongpoh, highlighting the importance of ecorace selection and environmental management for sustainable eri silk production.

Enhancing Accessibility in Online Shopping: A Dataset and Summarization Method for Visually Impaired Individuals

A visually impaired individual (VI) encounters numerous challenges in their daily activities, particularly in tasks reliant on visual systems such as navigation, educational pursuits, and shopping. Online shopping poses a heightened difficulty due to its reliance on visual representations of products in digital formats. The impact of visual impairment on product selection based on reviews remains inadequately investigated. This study endeavors to address two primary objectives. Firstly, we propose the creation of a dataset comprising product review videos (referred to as PVS10) tailored for visually impaired individuals. Secondly, we present a foundational summarization methodology designed to facilitate access to pertinent and informative content within extensive video collections for visually impaired individuals. Our dataset, gathered from YouTube, encompasses 10 distinct products, each associated with the top 10 review videos, totaling 100 videos of varying lengths. Utilizing the search term "review videos of PRODUCT NAME", we assembled the dataset to facilitate automated summarization processes aimed at maximizing salient information, minimizing redundant content, and preserving the overarching sentiment conveyed in the reviews. This research focuses on the challenges faced by visually impaired people in online shopping, particularly when selecting products based on customer reviews. Our study demonstrates that people with visual impairments may actively explore product reviews and only acquire the information they require.

A Survey on Agricultural E-Commerce Application for Small Scale Farmers with Crop Yield Prediction

The agricultural industry has come to understand more and more in recent years how crucial technology is to improving farming operations’ profitability and efficiency. The creation of user-friendly agricultural e-commerce platforms that help small-scale farmers sell their produce directly to customers or work together for bulk sales is the focus of this research review, which aims to maximize profitability. Additionally, the incorporation of machine learning models for agricultural yield prediction is investigated, emphasizing the importance of vari- ables like soil quality, climate, and resource availability. These tools help farmers make educated decisions about planting and harvesting by giving them predicted insights. The survey also emphasizes how these platforms help buyers access markets more easily by providing a wide selection of regional agricultural products and expediting transactions. Through the removal of middlemen, these techbased solutions advance equitable pricing, fortify regional farming communities, and eventually improve the agriculture industry as a whole.

Water Electrolysis Technology Selection for Green Hydrogen Production in Coastal Isolated Area

Water Electrolysis Technology Selection for Green Hydrogen Production in Coastal Isolated Area

Management of complications of chimeric antigen receptor T-cell therapy: a report by the European Society of Blood and Marrow Transplantation.

Chimeric antigen receptor (CAR) T cells are in standard clinical use to treat relapsed or refractory hematologic malignancies, such as non-Hodgkin lymphoma, multiple myeloma and acute lymphoblastic leukemia. Owing to the rapidly progressing field of CAR T-cell therapy and the lack of generally accepted treatment guidelines, we hypothesized significant differences between European centers in prevention, diagnosis and management of short- and long-term complications. To capture the current CAR T-cell management among European Society for Blood and Marrow Transplantation (EBMT) centers and to determine the medical need and specific areas for future clinical research the EBMT Transplant Complications Working Party performed a survey among 227 EBMT CAR T-cell centers. We received complete servey answers from 106 centers (47%) addressing questions in the areas of product selection, CAR T-cell logistics, management of cytokine release syndrome and immune effector cell-associated neurotoxicity syndrome as well as management in later phases including prolonged cytopenias. We identified common patterns in complication management, but also significant variety in clinical management of the centers in important aspects. Our results demonstrate a high medical need for treatment harmonization and future clinical research in the following areas: treatment of steroid-refractory and very severe cytokine release syndrome/neurotoxicity, treatment of cytopenia, early discharge and outpatient management, as well as immunoglobulin substitution.