bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigate the impact of ICAM-2 and Neprilysin biomarkers in prostate cancer patients infected with JC virus in AL-Najaf AL-Ashraf Province
Authors: Kadhum Hussein Ali , Mezher Musa Nima
Published: May 2024

A total of 74 clinical samples Formalin-Fixed Paraffin-Embedded (FFPE) were collected from patients diagnosed with prostate cancer (PCa) aged between 41 and 90 years and these samples were obtained from patients treated at notable medical institutions like Al-Sadr Medical City and leading clinical laboratories in Al-Najaf City, Iraq, during the period of January to December 2023. The current study indicated the potential role of the JCV virus in provoking prostatitis, which may lead to the emergence and development of prostate cancer in males compared to males who do not suffer from viral infection. The present study showed the presence of JCV virus DNA, as the percentage of positive samples reached (11, 14.864%) compared to negative samples (63, 85.135%). The current study showed a significant increase in the level of ICAM-2 biomarker in patients with JCV-positive prostate cancer, reaching (818.500±42.748 pg/ml) compared with patients with JCV-negative, reaching (502.925±58.037 pg/ml). Neprilysin (NEP) levels in the current study were significantly high in for JCV-positive patients and those with prostate cancer, reaching (4.275±0.376 pg/ml) compared with JCV-negative patients, reaching (3.131±0.232 pg/ml).
The Relationship of Staphylococcus aureus Virulancity with Serum Cytokine Levels in Polycystic Ovary Syndrome and Polycystic Ovary Disease
Authors: AL-Khafaji Rana Jaleil , Al-Fatlawi Basaad Abed Zaid , Al-Mamory Al-Mamory Abdulnabi Jwaid
Published: May 2024

The current study was done to isolation and indentification of the
Staphlococcus aureus isolates associated with polycystic ovarian syndrome patients and determine the immunological status for these patients. Inflammatory markers have been linked to polycystic ovary syndrome (PCOS). Because ovulation is a quasi-inflammatory process, endothelial adipose tissue can stimulate an inflammatory response and maintain inflammation in adipocytes. By influencing the release of inflammatory cytokines from this downregulated inflammation, polycystic ovary syndrome can arise. The study included 105 clinical specimens, that include age (20-45) years which were collected from November 2022 to June 2023. The specimens included blood specimens and vaginal swabs. They visit Imam Al-Sadiq Hospital and Babylon Teaching Hospital for Maternity and Children in Babylon Governorate. The results of vaginal swabs culture, biochemical tests and vitic2 for isolated bacteria from patients were revealed that Gram-positive bacteria isolates were dominant, amounting to 51 (54.83%), while the percentage of Gram-negative bacteria was 37 (39.78%), while fungi percentage was 5 (5.37%). The results showed that Staphylococcus aureus is the most common bacteria among Gram-positive bacteria, as it constituted 38 (40.86%), followed by Lactobacillus spp. As it accounted for 11 (11.82%) of Staphylococcus epidermidis by 2 (2.15%). The Gram-negative isolates included Escherichiae coli, Klebsiella pneumoniae, and Pseudomonase aerogenosa 23 (24.73%), 9(9.67%) and 5 (5.37%), respectively also the result demonstrates that IL-10, IL-13 level significantly elevation in PCOS, PCOD patients group.
Influence of biological fertilizers on the carrots cultivation and yield
Authors: Fadeeva N.A. , Kirillov N.A. , Smirnova N.V.
Published: May 2024

Providing the country’s population with high-quality vegetables remains one of the priority areas for agricultural development. The task of agricultural science in solving this problem is to improve agrotechnological techniques and individual operations of soil cultivation, sowing and harvesting, as well as measures to protect against infections and pests. The purpose of this study was to determine the effectiveness of using biofertilizers when cultivating carrots on gray forest soils of medium loamy granulometric composition. Small-plot experiments to improve the technology for cultivating carrots of the Losinoostrovskaya variety were carried out on the basis of the experimental collection site of the Chuvash State Agrarian University during 2022–2023. To stimulate the processes of growth and accumulation of plant biomass, three-time root and leaf feeding of vegetative plants with biological preparations Microbionic and Gumat EM was used. In the course of monitoring the growth processes of carrots, the accumulation of tops and root crops biomass, the authors recorded positive changes in the reduction of the duration of phenophases and a positive trend in increasing carrot yields. The timing of the onset of bunching and trimming ripeness in carrots in plots using root and leaf fertilizing with biological products was shifted by 2–5 days, the total biomass of aboveground mass and root crops was increased to 36%, the yield and marketability of finished products was up to 43% compared with a control group.
Properties of dark gray forest soil in the cultivation of cereals according to various basic processing systems
Authors: Perfiliev Nikolay , Vyushina Olga
Published: May 2024

The purpose of the research is to establish the influence of various systems of basic dark gray forest soil processing with prolonged use on the transformation of the most important fertility elements. The results of prolonged (1988-2022) exposure to processing systems in the grain-steam crop rotation are presented: dead fallow, winter rye, spring wheat, spring barley, in the northern forest-steppe of the Tyumen region of the Russian Federation. The basic tillage systems were compared: dump, non-dump, combined, differentiated, flat-cut, surface. The peculiarities of the transformation of fertility elements under prolonged exposure to basic processing systems of varying intensification degrees are determined. It was found that the long-term use of basic treatment systems of varying minimization degrees in conditions of complex chemicalization ensured the formation of water-physical properties, nutritional conditions and phytosanitary conditions in their values slightly inferior or close to the control version of the dump processing system. Tillage systems with minimization elements reduced the energy efficiency coefficient in comparison with the dump system against the background of fertilizer application by 4.5‑11.5%, against the background without fertilizers – by 7.7‑18.4%. The lowest decrease in efficiency in comparison with the dump processing system for both nutrient backgrounds was for the combined processing system – 4.5‑7.7 %.
Сluster analysis of long-term crop yield data in crop rotation
Authors: Shitov A.G. , Yushkevich L.V. , Yushchenko D.N. , Zagrebelny V.E. , Kashinskaya S.P.
Published: May 2024

Today, cluster analysis is one of the most effective tools for processing large amounts of information and is used wherever computing technology is used, since data and the results of their analysis play an increasingly important role in modern information society, and clustering allows for a better understanding of this data. Whenever it is necessary to classify a large amount of information of this kind and present it in a form suitable for further processing, cluster analysis turns out to be very useful and effective. The analysis of 48-year observations on 107 variables (crop yield, crop rotation by tillage techniques and means of intensification, crop contamination, soil moisture content under sowing during the growing season, the sum of non-vegetative precipitation, the sum of decadal precipitation and average decadal air temperatures during the growing season) using clustering by the Ward method allowed us to group observations into 6 clusters and use them to analyze the studied variables. An average positive relationship of soil moisture content before sowing with the amount of non-vegetative precipitation and a negative one with air temperature in May has been established. Linear regression equations of the positive relationship of yield with the consumption of soil moisture during the growing season, precipitation in June-July and negative clogging and average air temperature in May-July were selected.
The content of cannabinoids in common hemp plants in the conditions of the Republic of Bashkortostan
Authors: Bikbaeva Gulnur , Islamgulov Damir
Published: May 2024

Cannabis sativa L. – a herbaceous plant. Recently, interest in this fast-growing plant has increased again due to its multipurpose use: It is indeed a treasure trove of phytochemicals and a rich source of both cellulose and wood fibers. The pharmaceutical and construction sectors are equally interested in this plant, since its metabolites have powerful biological activity for human health, and stem outer and inner tissues can be used to manufacture bioplastics and concrete-like materials, respectively. Cannabinoids are the most studied group of compounds, mainly because of their wide range of pharmaceutical effects on the human body, including psychotropic activity. The content of the main cannabinoids in common hemp plants of the Vera, Nadezhda, Surskaya, Omegadar-1 varieties for 2020-2023 has been studied. The predominant cannabinoid in all varieties during the years of the study is CBD. The studied common hemp varieties in the years of research fully comply with the requirements of the law. The THC content did not exceed 0.1%.
Xerohalophyte semi-shrub Camphorosma lessingii Litv.: Selection by shrub forms in the Caspian semi-desert conditions
Authors: Shamsutdinova Elmira , Shamsutdinov Zebri
Published: May 2024

Camphorosmalessingii is a perennial plant, a semi-shrub by life form, and a haloxerophyte. It is tolerant to drought and heat, and to salt stress. The growing season is 235–245 days long. It is a good fodder plant suitable for recreating permanent pastures, both natural and with semi-shrubs of Kochia prostrata and Salsola orientalis. The objective of the study was to analyze and evaluate the intraspecific diversity of Camphorosma lessingii by its shrub forms. During ontogenesis, when Camphorosma lessingii enters the budding phase, plants are differentiated into three types by forms. The first type is the prostrate forms, where the central stem is weakly structured or absent. The second type is the prostrate-climbing forms, where the central stem is well-defined, with many lateral shoots. The erect forms are the third type, with a single central inflorescence shoot (stem). A prostrate Camphorosma lessingii proved to be the most productive and resistant to abiotic stresses. With this form of Camphorosma lessingii as the parent material, the pasture variety Grace was cultivated. This variety is characterized by high bushiness, leafiness, and drought resistance, as well as winter hardiness, yield of fodder mass and seeds, and resistance to diseases and pests. The productivity of Camphorosma lessingii variety Grace reached 2.0 t/ha of dry fodder mass, exceeding the yield of the standard one by 0.7 t/ha.
Justification of technological indicators of machines for the production of bulb onion in an annual crop
Authors: Irkov Ivan
Published: May 2024

Onion is one of the main vegetable crops. Its consumption in Russia reaches 2.0 million tons. The gross harvest amounted to 1601.5 thousand tons in 2022 with a yield of 31.3 t/ha. The purpose of the research is to substantiate the technological performance of machines for the mechanized cultivation of onions in an annual crop, providing a yield of 70 - 80 t/ha, on alluvial meadow soils of the Non-Chernozem Zone of Russia. The research method is field experience. Issues considered: application of fertilizers, spring tillage, weed control in the previous field and during the growing season, pre-sowing treatment and sowing of seeds in the field, pest and disease control through foliar spraying, drip irrigation, harvesting work
Adaptation of epizootic brucella strains to the conditions of artificial nutrient media and the body of experimentally infected animals
Authors: Kulikova E.V. , Novikov A.N. , Gordienko L.N.
Published: May 2024

Brucellosis remains an urgent problem to date. The preservation of brucellosis infection foci in regions with traditionally developed animal husbandry poses a danger of introducing the pathogen into safe territories, spreading among susceptible livestock and the risk of human infection. When fresh foci of brucellosis occur in an area with long-term well-being, objective data on the causative agent of infection are of great importance. The purpose of the research is to obtain an objective result of laboratory studies when diagnosing brucellosis in cattle in a fresh outbreak of infection and to evaluate the effectiveness of a set of diagnostic methods used in the work. The research was carried out in production veterinary and scientific laboratories. It was found that brucella, forming a fresh source of infection in cattle herds against the background of long-term well-being, had active antigenic properties. In 42% of infected animals (5 out of 12 animals), brucella of the epizootic strain caused the synthesis of specific immunoglobulins. Isolated brucella cultures were characterized by a weakly expressed ability to adapt to the conditions of an artificial nutrient medium and the body of laboratory animals. In the conducted studies, the probability of isolating the causative agent of brucellosis from animals that respond positively to serological examination was 20%. The objective data obtained on the properties of brucellosis pathogens circulating among susceptible animals in a fresh outbreak of infection made it possible to determine its species differences; establish factors and ways of introducing brucella, predict the course of infectious and epizootic processes, make a timely decision on carrying out health and preventive measures using effective methods and means.
Prioritizing circular economy strategies for sustainable PV deployment at the TW scale
Authors: Mirletz Heather , Ovaitt Silvana , Sridhar Seetharaman , Barnes Teresa M.
Published: May 2024

Global decarbonization requires an unprecedented scale-up of photovoltaic (PV) manufacturing and deployment. The material demand and eventual end of life management associated with multi-TW scale deployment poses many challenges. Circular Economy (CE) and it's associated R-Actions (Reduce, Reuse, Recycle) have been proposed to mitigate end of life management and material sourcing concerns. However, CE metrics typically focus on a single product and only consider mass, excluding energy flows. This work leverages the PV in Circular Economy (PV ICE) tool to quantify the deployment, mass, and energy impacts of R-Actions and proposed sustainable PV designs in the context of achieving energy transition deployment goals (75 TW in 2050). 13 module scenarios are established and evaluated across 6 capacity, mass and energy metrics to identify tradeoffs and priorities. We find that increasing module efficiency can reduce near-term material demands up to 30% and improve energy metrics by up to 9%. Material circularity (recycling) can minimize lifecycle wastes and reduce material demands at the cost of higher energy demands. Increasing module lifetime, including reliability improvements and reuse strategies, is effective at reducing both material (>10%) and energy demands (24%). Uniquely, lifetime improvements maximize benefits and minimize the harms across all six metrics while achieving multi-TW scale deployment.
Assessing the acclimatisation to the wild of stocked European graylings Thymallus thymallus by monitoring lipid dynamics and food consumption
Authors: Avramović Mladen , Turek Jan , Tomčala Aleš , Mráz Jan , Bláha Martin , Let Marek , Szmyt Mariusz , Randák Tomáš
Published: May 2024

This study investigated how 2+-year-old stocked pond-reared European graylings (Thymallus thymallus) acclimatised to a wild environment during six months (May–October 2019) after released. We examined the quantity and composition of lipids in the liver, muscles and visceral adipose tissues (VAT), as well as size parameters, condition factors and stomach contents. Our results showed a low post-stocking recapture rate (5.17%) of stocked fish after 6 months suggesting a poor acclimation to the wild environment. During the six months of monitoring, stocked fishes exhibited a sharp decrease in lipid content in all examined tissues, and, in the final month, lipid content was well below those of wild conspecifics. Stocked graylings preferred risky foraging behaviour and consumed numerous small drift preys with occasional hyperphagic events, thus experiencing strong bioenergetic challenges. Our study reveals that fish cultivated for extended periods struggle to acclimatise to the wild environment and that this commonly used stocking practice seems unsuccessful when aimed at strengthening wild grayling populations.
Optimal design of elastic plates
Authors: Crnjac Ivana , Pavlović Jelena Jankov , Kunštek Petar
Published: May 2024

This paper is concerned with optimal design problems in the setting of the Kirchhoff–Love model for pure bending of a thin solid symmetric plate under a transverse load. For two isotropic elastic materials with a prescribed amount, the goal is to find their rearrangement within the domain that forms a least compliant structure. The homogenization method is used as a relaxation tool to overcome the lack of a classical solution of optimal design problem. Neccessary conditions of optimality were derived and an optimality criteria method for the single state compliance minimization problems is developed and tested on several examples.
Splice site prediction research based on location information
Authors: Wei Bin , Zhang Mingshu , Niu Yaqiong , Sun Yandong
Published: May 2024

Reveal the mysteries of birth, death and so life has become one of the main purpose of bioinformatics, splice site prediction is one of the most important part, however, not been able to get this problem solved. Firstly, the third generation of genetic markers of single nucleotide polymorphisms had been used in that research to explore the influence of the SNP in splicing; Secondly, a modified hidden Markov model has been introduced; finally, experiments show that the SNP for the performance has a certain influence. In addition, location information based hidden Markov model designed also has positive effects. This method increases the effects dramatically than currently used methods.
WLAN monopole antenna design by Siamese convolutional neural network and KNN exploiting Gaussian process
Authors: Tian Yubo , Meng Fei
Published: May 2024

In the process of antenna design, surrogate models can generally be used, but modeling requires a large number of samples. Although full wave electromagnetic simulation software can handle this task, obtaining a large number of samples is time-consuming, however too small number of sample may lead to lower accuracy of the trained surrogate model. Inspired by semi-supervised learning methods, this paper uses Siamese convolutional neural networks (SCNN) and K-nearest neighbor (KNN) algorithms to generate highly reliable virtual samples and expand the training sample set, further improving the accuracy and robustness of the surrogate model by exploiting Gaussian process (GP) models. The proposed method is named SCNN-KNN-GP, which is used for the design of WLAN dual band monopole antennas. Moreover, the relationships between the performance of the proposed model and the increased number of virtual samples and the coefficient of the KNN are studied, resulting in a more excellent surrogate model structure.
Research on the curriculum ideological and political education construction model for IT specialty cluster of higher vocational college
Authors: Jiang Jianhua , Wang Yifu
Published: May 2024

In addressing challenges integrating ideological and political education into talent training and incorporating it into teaching and course design, we have conducted research based on the practical context of constructing a nationally high-level specialty cluster in software technology at our university. We’ve developed a comprehensive approach known as the “Point-Line-Plane” method for designing ideological and political courses. Through this approach, we’ve delved into the “Six-Entry Design” to establish the ideological and political teaching system, the “Three-Entry Orientation” innovative model for integrating ideological and political aspects into courses, the “Four-Way Integration” to shape the professional course system, and a “Five-Dimensional Strategy” to improve teachers’ awareness and capabilities in curriculum ideological and political education construction. This course design model has successfully achieved a profound integration of curriculum ideological and political education with professional education. It offers a systematic implementation pathway for ideological and political course design in IT-related specialty clusters within vocational education, serving as a valuable reference for other disciplines aiming to fulfill the fundamental mission of moral education and character cultivation.
The practice and reflection of generative AI in the cultivation of aesthetic education in colleges and universities: Centred on environmental design major
Authors: Lu Min , Wang Huamin
Published: May 2024

Through a comprehensive analysis of the development history of generative AI and its application in the aesthetic education of environmental design majors, this paper aims to reveal its potential significance and revelations in the field of aesthetic education. This paper first outlines the concept and development history of generative AI, and then delves into its practice in the aesthetic education of environmental design majors. For different application scenarios, including natural language processing, image recognition, audio processing and video synthesis, its specific applications and effects in aesthetic education are explored respectively. By analysing the practice of generative AI in the cultivation of aesthetic education for environmental design majors, it is found that it has potential value in several aspects, and generative AI can provide students with more personalised and diverse learning experiences and expand the boundaries of aesthetic education. At the same time, it can also assist teachers in teaching design and assessment, and improve teaching efficiency and quality. With the continuous development and application of AI technology, the combination of generative AI and aesthetic education in environmental design will show a more diverse and extensive trend
Construction of teaching quality assurance system from the perspective of the new round of review and assessment on undergraduate education and teaching & learning: Based on the practice of Chengdu Neusoft University
Authors: Song Yan , Yao Song , Zhang Bing
Published: May 2024

The New Round of Review and Assessment on Undergraduate Education and Teaching & Learning has set requirements for the construction of quality assurance systems in universities. It emphasizes the focus on the university's teaching quality assurance system, the utilization of quality information in universities, and the improvement of quality and cultural development. This article takes the practice of Chengdu Neusoft University’s teaching quality management and assurance system as an example to explore the quality assurance system in private applied universities. It explains the connotation of the system and analyzes its support for evaluation and assessment, with the aim of providing reference and guidance for the construction of teaching quality assurance systems in private universities.
Research on android user privacy permission analysis and protection mechanism under big data environment
Authors: Liu Mei , Wang Qun
Published: May 2024

With the rapid development of big data technology, the issue of user privacy security on the Android platform is becoming increasingly prominent. This paper aims to conduct an in-depth analysis of the privacy permissions of Android users under the big data environment and explore effective protection mechanisms. Through research on permission management, application behavior, and user privacy leakage pathways in the Android system, this paper proposes a comprehensive privacy protection strategy to enhance the privacy security level of Android users in the big data environment.
Research on power communication data security based on ETL
Authors: Liu Xiaoyan
Published: May 2024

The use of modern data application technology in information security management programs within power enterprises is a major trend in industry development. Integrate scattered, messy, and non-standard data in electronic communication, extract, clean, and transform business system data, and load it into a data warehouse. ETL mainly relies on cloud computing logic to protect the transfer, storage, confidentiality, and other aspects of data, effectively avoiding the loss, omission, and leakage of information in enterprise data transmission. This study discusses the necessity of ETL based data transmission security protection technology for power enterprises to achieve security, in order to provide theoretical support for subsequent research and practice.
Research on the continuous use intention of intelligent express cabinets
Authors: Wu Zhen
Published: May 2024

In the background of China’s annual courier business volume surpassing 100 billion pieces, the issues within delivery service are becoming increasingly pronounced. One particular concern is that the growing occurrence of couriers depositing packages into courier cabinets without obtaining consent of users, leading to the dissatisfaction among users and a reluctance to utilize these cabinets. This paper is based on the technology acceptance model and the introduction of perceived cost and security variables, to illustrate the influence of intelligent express locker user willingness to continue to use factors. The study showed that the perceived cost had an impact on the user’s willingness to continue using express locker under the intermediary effect of satisfaction. Additionally, the study also found that security had a positive influence on user satisfaction. The intermediary effect of satisfaction acts as a masking factor between security and Continuance Intention.It also points to new directions for subsequent research.
The progress of common prosperity in China
Authors: Xing Xiufeng , Wang Yu , Yang Xiaoping
Published: May 2024

This paper examines the extant research progress of the common prosperity in China. Centrals on the topic of common prosperity, the author reviews the progress of Chinese common prosperity from a couple of perspectives: namely the relations between common prosperity and the essence of 20th National Congress of the Communist Party of China; the path and measures to achieve the common prosperity; the nexus among digital economy transition, financial inclusion, household consumption, regional coordinative development and common prosperity; and finally the measurement of the current level of common prosperity. In general, the theme of common prosperity has aroused wide focus in the academic community at home and abroad. From the perspective of literature review in particular, this paper summarizes the current research progress associated with common prosperity in China.
A review of electromagnetic stirring on solidification characteristics of molten metal in continuous casting
Authors: Li Yue , Wang Ziming , Zhou Xiaobin , Xiao Hong , Yue Qiang
Published: May 2024

The solidification of molten metal represents a pivotal phase in the preparation and shaping of metallic materials. Continuous casting, as a crucial juncture in the solidification of molten metal, occupies a position of paramount significance. Nevertheless, during the process of continuous casting, challenges emerge, including uneven temperature field distribution, non-uniform solidification microstructures, and the presence of impurities, leading to defects such as segregation and shrinkage in the castings. Researchers have devoted decades to addressing these issues, culminating in the discovery that the application of electromagnetic stirring during continuous casting can expedite the flow of molten metal, enhance solute diffusion, thereby achieving uniform temperature and flow field distributions, refining solidification microstructures, and ameliorating macrosegregation, among other benefits. This article provides an overview of the recent research achievements and advancements in the utilization of electromagnetic stirring during the continuous casting process. It primarily elucidates various stirring devices commonly employed in continuous casting and expounds upon the influence of electromagnetic stirring on solidification characteristics. And the current problems and future development trends in the application of electromagnetic stirring were discussed.
Marginal profit maximization estimation of supply chains by waste energy decrement: a case study of the power industry
Authors: Pouralizadeh Mojgan
Published: May 2024

Economic growth and excessive fossil energy consumption have direct effects on environmental destruction and greenhouse gas increments. The existing appropriate pattern for economic performance increase as well as pollution emissions abatement is a basic issue in industry activities. In this paper, a data envelopment analysis (DEA) model is introduced for estimating the directional marginal profit maximization of supply chain divisions based on wasted energy and power losses. The purpose of this study is to estimate the directional marginal productivity in the supply chain, which enables us to find the optimal direction of efficient divisions on the frontier. This makes the allocation of resources create a marginal profit increase and the pollution emissions be abated simultaneously. Indeed, the proposed model considers the synergistic effects of each input on MP estimation in predetermined directions. The model is able to estimate the marginal profit maximization of desirable output and undesirable output decrease for each input simultaneously. The results suggested that the gas field division of one of the supply chains had fundamental capacities for energy production increments and flare gas decrements. Furthermore, the gas field division of this supply chain also had a considerable structure for the marginal profit maximization of outputs based on flare gas decreases. Additionally, the distribution lines of 0.80% supply chains provided wasted energy reduction by adding one extra unit to the line’s capacity in the determined direction. Especially, there were supply chains that had investment opportunities for an acceptable abatement of power losses. This not only enables divisions to respond to fluctuations in demand as they produce more energy in critical situations like climate change but also decreases harmful emissions as wasted energy in supply chain divisions.
An integrated vendor-buyer model with sustainability and remanufacturing of returned product
Authors: Pervin Magfura , Paul Asim , Roy Sankar Kumar , Lesmono Dharma , Sakalauskas Leonidas
Published: May 2024

With passing time, carbon emission reduction has been a paramount job for human kind. Achieving a delicate balance between carbon emission reduction and the combustion of fossil fuels is essential. This balance is vital as carbon emissions are inevitable during the burning of fossil fuels, which is necessary for industrialization. This study presents an inventory model with green technology where production of new items and remanufacturing of returned items are allowed. Remembering the present global situation, the ordering cost is assumed as variable cost which contains order cancellation and reorder cost. Online order policy is considered with quality of product and a return rate. Keeping in mind the social, economic and environmental aspects, the demand function is considered as sustainability sensitive demand. Remanufacturing is performed for non-serviceable itemsi.e., defective items which are produced from imperfect production and used items that are purchased from the market. But the products for which remanufacturing cost is more than manufacturing cost are scraped off. In the production process carbon releases from setting up, manufacturing and holding of the perfect items. A nonlinear model is designed based on the above concepts. The model is solved both theoretically and analytically. The main motives of the work are to find the effects of ordering cost, carbon emission cost and green technology investment on the inventory model for suggesting the best policy to the inventory manager. Sensitivity analysis is performed to validate the model. The numerical results prove that ignoring ordering cost, carbon emission cost and green technology investment can lead to a false optimal solution, and this can be a huge economical loss for the inventory manager. The results also prove that a sustainable model with carbon emission and green technology investment is more realistic and profitable in compare with the other existing models. The results show that manufacturer wishes to engage in remanufacturing as remanufacturing cost continuously increases with respect time. Another important finding is that the manufacturer can choose remanufacturing as the cost is lower than manufacturing for saving environment.
The cost bearing mechanism for advertising in a capital-constrained supply chain
Authors: Li Hongping , Zheng Han , Xu Yang , Song Wen
Published: May 2024

With rising market competition, increasing numbers of firms are launching advertising to attract customers and promote product sales. The increase in operating costs caused by advertising places greater pressure on small retail businesses that are prone to capital shortages, leading them to seek financing from upstream firms. However, in the financing process, upstream and downstream firms may not be able to acquire all of one another’s real information, which inevitably has a significant impact on their operating strategies. By constructing a Stackelberg game, this paper studies the effects of information asymmetry on the retailer’s initial capital and the manufacturer’s financing rate on their advertising strategies. We find that in the symmetric information scenario, when the advertising cost coefficient is low, manufacturer advertising is the superior strategy and increases the retailer’s and manufacturer’s profits and social welfare; when it is moderate, retailer advertising is the superior policy; but when it is high, retailer advertising is more beneficial for the manufacturer’s profit and social welfare but is more unfavorable for the retailer’s profit. In addition, information asymmetry on the manufacturer’s financing rate affects the advertising strategies of the manufacturer and the retailer, but information asymmetry on the retailer’s initial capital fails. Additionally, we further extend the model to the Nash game scenario and cooperative advertising scenario and draw some different conclusions. This study contributes to the literature by analyzing the advertising strategies of the retailer and the manufacturer with asymmetric financing information, and guides the design of advertising strategies for companies in practice.
Realizability problem of distance-edge-monitoring numbers
Authors: Ji Zhen , Mao Yaping , Cheng Eddie , Zhang Xiaoyan
Published: May 2024

Let G be a graph with vertex set V (G) and edge set E(G). For a set M of vertices and an edge e of a graph G, let P (M, e) be the set of pairs (x, y) with a vertex x of M and a vertex y of V (G) such that dG(x, y) ≠ dG−e(x, y). Given a vertex x, an edge e is said to be monitored by x if there exists a vertex v in G such that (x, v) ∈ P ({x}, e), and the collection of such edges is EM(x). A set M of vertices of a graph G is distance-edge-monitoring (DEM for short) set if every edge e of G is monitored by some vertex of M, that is, the set P (M, e) is nonempty. The DEM number dem(G) of a graph G is defined as the smallest size of such a set in G. The vertices of M represent distance probes in a network modeled by G; when the edge e fails, the distance from x to y increases, and thus we are able to detect the failure. In this paper, we first give some bounds or exact values of line graphs of trees, grids, complete bipartite graphs, and obtain the exact values of DEM numbers for some graphs and their line graphs, including the friendship and wheel graphs. Next, for each n, m > 1, we obtain that there exists a graph Gn,m such that dem(Gn,m) = n and dem(L(Gn,m)) = 4 or 2n + t, for each integer t ≥ 0. In the end, the DEM number for the line graph of a small-world network (DURT) is given.
Joint optimization of the inventory routing problem considering the recycling of broken bikes in the bike-sharing system
Authors: Wu Aigui , Shu Tong , Wang Shouyang
Published: May 2024

Bike-sharing system has become an indispensable element of sustainable urban transportation, effectively resolving the “last mile” transportation challenge for city dwellers. A major daily operational task in these systems is planning a fleet to rebalance the bikes over time, ensuring the optimal availability of bikes and docks to users. Recycling is also a daily work with the an increase in the number of broken bikes. However, rebalancing or recycling operation is always regarded as an independent tasks. They are separately studied in existing papers. Thus, this paper develops an operational strategy for recycling broken bikes during the rebalancing process, and studies the combination of the station inventory and vehicle routing problems. First, an inventory routing model is constructed with the aim of minimizing the total costs including procurement, expected user loss, inventory and transportation costs. Then, a two-stage iterative algorithm is developed with both exact and heuristic algorithms. We use real-world data from Capital Bikeshare to test our proposed model and approach, which shows the two-stage iterative algorithm is efficient and outperforms existing solutions in reducing total costs. Finally, the sensitivity analysis is performed on key parameters such as the vehicle’s capacity, unit penalty costs for customer dissatisfaction events, unit inventory holding costs and the observation period of rebalancing. It shows that enterprises can reduce the total cost by altering vehicle’s capacity, reducing the unit inventory holding costs or changing the observation period of rebalancing.
Cost-sharing incentive for collaborative innovation between main manufacturer-core supplier based on risk factors
Authors: Wang Yuchen , Wang Zilong , Cai Hechang
Published: May 2024

This paper considers the “main manufacturer-supplier” model in collaborative cooperation among firms which requires the leader to invest significant resources and bear huge risks. However, few scholars simultaneously consider innovation risks and incentive issues under the model. We construct a Stackelberg game incentive model with different cost-sharing ratios under the risk of technological innovation. We characterize the equilibrium of the model and highlight the key role played by the main manufacturer and supplier. The results are as follows: (a) Main manufacturer can implement the cost-sharing incentive strategy under certain conditions, which is, its profit coefficient is greater than 0.75 times that of supplier and the cost-sharing ratios expected coefficient is greater than the minimum threshold. (b) The optimal cost-sharing ratio is directly proportional to the profit coefficient of the main manufacturer, inversely proportional to that of the supplier, and shows an inverted U-shape function with the probability of successful technological innovation. (c)This strategy can motivate suppliers to invest more resources, reduce the investment of the main manufacturer, simultaneously increase the profits of the main manufacturer and supplier in the certain ranges of innovation success probability and profit coefficients, with significant incentive effects.
A simulation-based DEA approach for multiple criteria decision-making problems with uncertain mixed-criteria values
Authors: Song Shiling , Zhang Ye , Xie Jianhui , Ang Sheng , Yang Feng
Published: May 2024

In ex-ante decision scenarios, predicting criterion values accurately is difficult for decision makers (DMs). Inconsiderable work is normally required for measuring criteria by uncertain random values or ordinal values. However, in the classical data envelopment analysis (DEA) model, criterion values are the constants that limit the application of the classical DEA model in ex-ante decision scenarios. This paper presents a simulation-based DEA approach, which captures random and ordinal criterion values by a simple and direct simulation-based approach. The approach includes three steps. In the first step, Monte Carlo simulation methods are used to convert uncertain random values or ordinal values into cardinal data. In the second step, we use traditional DEA methods to compute the efficiency score of decision-making units (DMUs). In the third step, we ranked all DMUs by calculating the DEA-efficient acceptability of each DMU in multiple simulations and then selected the optimal DMU. The proposed approach is illustrated by experimental examples and a case study of a municipal wastewater treatment system.
Local-search based heuristics for advertisement scheduling
Authors: Costa da Silva Mauro Roberto , Schouery Rafael Crivellari Saliba
Published: May 2024

In the MAXSPACE problem, given a set of ads A, one wants to place a subset A′ ⊆ A into K slots B1, …, BK of size L. Each ad Ai ∈ A has size si and frequency wi. A schedule is feasible if the total size of ads in any slot is at most L, and each ad Ai ∈ A′ appears in exactly wi slots. The goal is to find a feasible schedule that maximizes the space occupied in all slots. We introduce MAXSPACE-RDWV, a MAXSPACE generalization with release dates, deadlines, variable frequency, and generalized profit. In MAXSPACE-RDWV each ad Ai has a release date ri ≥ 1, a deadline di ≥ ri, a profit vi that may not be related with si and lower and upper bounds wmini and wmaxi for frequency. In this problem, an ad may only appear in a slot Bj with ri ≤ j ≤ di, and the goal is to find a feasible schedule that maximizes the sum of values of scheduled ads. This paper presents some algorithms based on meta-heuristics GRASP, VNS, and Tabu Search for MAXSPACE and MAXSPACE-RDWV. We compare our proposed algorithms with Hybrid-GA proposed by Kumar et al. [Eur. J. Oper. Res. 173 (2006) 1067–1089]. We also created a version of Hybrid-GA for MAXSPACE-RDWV and compared it with our meta-heuristics. Some meta-heuristics like VNS and GRASP+VNS have better results than Hybrid-GA for both problems. In our heuristics, we apply a technique that alternates between maximizing and minimizing the fullness of slots to obtain better solutions. We also applied a data structure called BIT to the neighborhood computation in MAXSPACE-RDWV and showed that this enabled our algorithms to run more iterations.
The four seasons of pancreatitis – Etiology of acute pancreatitis during the course of the year
Authors: Sirtl Simon , Hohmann Eric , Beyer Georg , Hamm Jacob , Neesse Albrecht , Ammer-Herrmenau Christoph
Published: May 2024

Background/Objectives Whether seasonality is a factor that influences the incidence of acute pancreatitis (AP) is an under-investigated area. If seasonal incidence peaks can be detected, specifically with regard to biliary pancreatitis, has so far been answered in contradictory ways in the literature.

Methods All AP cases from two tertiary German referral centers were identified between 2016 and 2022 based on ICD-10 discharge codes. The χ2 test for goodness of fit was applied to test significant differences in monthly and seasonal distributions of AP admissions.

Results In total, 3597 AP cases were included. We observed significantly more idiopathic and biliary cases in May to July (p-values 0.041 and 0.027, respectively). Furthermore, most drug-induced APs were identified during the winter months (p-value 0.006). Moreover, there was a significant peak of alcohol-induced pancreatitis in summer and fall (p-value 0.038).

Conclusions Our data indicate a seasonal impact on AP incidences for certain etiologies.
Evaluation of a Digital Scribe: Conversation Summarization for Emergency Department Consultation Calls
Authors: Sezgin Emre , Sirrianni Joseph W. , Kranz Kelly
Published: May 2024

Objectives We present a proof-of-concept digital scribe system as an emergency department (ED) consultation call-based clinical conversation summarization pipeline to support clinical documentation and report its performance.

Methods We use four pretrained large language models to establish the digital scribe system: T5-small, T5-base, PEGASUS-PubMed, and BART-Large-CNN via zero-shot and fine-tuning approaches. Our dataset includes 100 referral conversations among ED clinicians and medical records. We report the ROUGE-1, ROUGE-2, and ROUGE-L to compare model performance. In addition, we annotated transcriptions to assess the quality of generated summaries.

Results The fine-tuned BART-Large-CNN model demonstrates greater performance in summarization tasks with the highest ROUGE scores (F1ROUGE-1 = 0.49, F1ROUGE-2 = 0.23, F1ROUGE-L = 0.35) scores. In contrast, PEGASUS-PubMed lags notably (F1ROUGE-1 = 0.28, F1ROUGE-2 = 0.11, F1ROUGE-L = 0.22). BART-Large-CNN's performance decreases by more than 50% with the zero-shot approach. Annotations show that BART-Large-CNN performs 71.4% recall in identifying key information and a 67.7% accuracy rate.

Conclusion The BART-Large-CNN model demonstrates a high level of understanding of clinical dialogue structure, indicated by its performance with and without fine-tuning. Despite some instances of high recall, there is variability in the model's performance, particularly in achieving consistent correctness, suggesting room for refinement. The model's recall ability varies across different information categories. The study provides evidence toward the potential of artificial intelligence-assisted tools in assisting clinical documentation. Future work is suggested on expanding the research scope with additional language models and hybrid approaches and comparative analysis to measure documentation burden and human factors.
Variable Phenotypes in the Same Patient with PRRT2-Associated Disorders
Authors: Loos Mariana , Touzon Maria Sol , Reyes Gabriela , Juanes Matias , Caraballo Roberto H.
Published: May 2024

Mutations in the PRRT2 gene lead to a spectrum of diseases with a common pathophysiology including self-limited (familial) infantile epilepsy and paroxysmal kinesigenic dyskinesia as well as other paroxysmal diseases involving movement and headache disorders. Atypical phenotypes, associated with episodic ataxia, epilepsy, hemiplegic migraine, developmental delay, and intellectual disability, have been reported in approximately 5% of the patients, which is probably an underestimation. Here, we present three patients with variable PRRT2 phenotypes in each patient. In the first two patients, the manifestations were characterized by episodes of nonepileptic paroxysms and focal seizures starting in the first years of life with good response to carbamazepine. One of them had no family history either of epilepsy or nonepileptic motor manifestations. The other patient simultaneously developed epileptic spasms. Neurodevelopment was normal in both. The third patient presented with early-onset focal epilepsy that was resistant to antiseizure medications and evolved to spike-wave activation in sleep associated with cognitive impairment and ataxia. In this patient, in addition to the mutation in the PRRT2 gene, a novel pathogenic SCN1A variant was identified. The distinct clinical presentations in the same patient observed in our cases confirm the broad spectrum of PRRT2-associated diseases.