Top Production Research Articles

Non-universal probes of composite Higgs models: new bounds and prospects for FCC-ee

We study the leading loop-level phenomenology of composite Higgs models via the effective field theory of a strongly interacting light Higgs and top quark (SILH+TQ). We systematically analyze the renormalization group evolution (RGE) of tree-generated operators in the SILH+TQ scenario, finding large mixings of flavor non-universal operators into those affecting electroweak precision observables. We show that these model-independent RG contributions are more important than typical estimates for finite parts. Flavor non-universal effects are completely captured by examining three options for the top mixing: fully composite qL3\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$ {q}_L^3 $$\\end{document}, equal compositeness, and fully composite tR. In the most phenomenologically viable case of a fully composite tR, we show that the strongest bound on the natural parameter space comes from next-to-leading log running of the 4-top operator Ott=t¯RγμtRt¯RγμtR\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$ {\\mathcal{O}}_{tt}=\\left({\\overline{t}}_R{\\gamma}_{\\mu }{t}_R\\right)\\left({\\overline{t}}_R{\\gamma}^{\\mu }{t}_R\\right) $$\\end{document} into the Peskin-Takeuchi T parameter. In general, we find that this 2-loop effect allows existing electroweak precision data to give better constraints on 4-top operators than high-energy probes from top production at the LHC. Independent of the top mixing, we find that a future tera-Z machine such as FCC-ee has the potential to probe composite Higgs models up to a scale of m∗ ≳ 25 TeV, and test the naturalness of the electroweak scale at the ≲ 10−4 level.

Entanglement Autodistillation from Particle Decays.

Particle decays do not constitute a spin "measurement" in the quantum-mechanical sense but still modify the spin state, in particular, for an entangled system. We show that for a spin-entangled pair of particles the entanglement of the system can increase after the decay of one particle. This unique phenomenon has no equivalent for stable particles and could be observable in top pair production at a high-energy polarized e^{+}e^{-} collider.

Research advances on the mechanisms of reservoir formation and hydrocarbon accumulation and the oil and gas development methods of deep and ultra-deep marine carbonates

Based on the new data of drilling, seismic, logging, test and experiments, the key scientific problems in reservoir formation, hydrocarbon accumulation and efficient oil and gas development methods of deep and ultra-deep marine carbonate strata in the central and western superimposed basin in China have been continuously studied. (1) The fault-controlled carbonate reservoir and the ancient dolomite reservoir are two important types of reservoirs in the deep and ultra-deep marine carbonates. According to the formation origin, the large-scale fault-controlled reservoir can be further divided into three types: fracture-cavity reservoir formed by tectonic rupture, fault and fluid-controlled reservoir, and shoal and mound reservoir modified by fault and fluid. The Sinian microbial dolomites are developed in the aragonite-dolomite sea. The predominant mound-shoal facies, early dolomitization and dissolution, acidic fluid environment, anhydrite capping and overpressure are the key factors for the formation and preservation of high-quality dolomite reservoirs. (2) The organic-rich shale of the marine carbonate strata in the superimposed basins of central and western China are mainly developed in the sedimentary environments of deep-water shelf of passive continental margin and carbonate ramp. The tectonic-thermal system is the important factor controlling the hydrocarbon phase in deep and ultra-deep reservoirs, and the reformed dynamic field controls oil and gas accumulation and distribution in deep and ultra-deep marine carbonates. (3) During the development of high-sulfur gas fields such as Puguang, sulfur precipitation blocks the wellbore. The application of sulfur solvent combined with coiled tubing has a significant effect on removing sulfur blockage. The integrated technology of dual-medium modeling and numerical simulation based on sedimentary simulation can accurately characterize the spatial distribution and changes of the water invasion front. Afterward, water control strategies for the entire life cycle of gas wells are proposed, including flow rate management, water drainage and plugging. (4) In the development of ultra-deep fault-controlled fractured-cavity reservoirs, well production declines rapidly due to the permeability reduction, which is a consequence of reservoir stress-sensitivity. The rapid phase change in condensate gas reservoir and pressure decline significantly affect the recovery of condensate oil. Innovative development methods such as gravity drive through water and natural gas injection, and natural gas drive through top injection and bottom production for ultra-deep fault-controlled condensate gas reservoirs are proposed. By adopting the hierarchical geological modeling and the fluid-solid-thermal coupled numerical simulation, the accuracy of producing performance prediction in oil and gas reservoirs has been effectively improved.

Design and Optimizing Top Cover Feeding Unit Modular Production System and Pick & Place Station

Design and Optimizing Top Cover Feeding Unit Modular Production System and Pick & Place Station

Breast Radiation Therapy Survivorship and Cancer Support Groups: an Opportunity for Community Engagement and Education Through the Addressing Breast Cancer Dermatologic Side Effects (ABCDEs) Program.

Breast cancer is the most commonly diagnosed cancer and the second leading cause of cancer deaths in women in the USA. To serve under-insured breast cancer patients in South Texas, we designed a patient education program to improve health literacy of secondary dermatologic changes after completing radiation therapy.A needs assessment survey was distributed to better understand the patients' stage of treatment, experiences with radiation-induced dermatologic side effects, and over-the-counter skin products and home remedies used.Of the 33 patients that participated in this program, nearly all patients (93.94%, n = 31) are either currently undergoing treatment or have completed treatment. Of the 31 individuals, 74.19% of patients (n = 23) have completed treatment at least 9-12months ago, 22.58% (n = 7) are currently receiving chemotherapy, and 3.23% (n = 1) are currently undergoing radiation therapy. Among the dermatologic side effects, patients experienced changes to skin color, redness, and burns/burning sensation at the greatest severity. The top products used by survey participants were prescription-strength topical corticosteroids (65.63%) followed by oral analgesics (28.13%) and compression sleeves (25.00%). Aloe vera (15.63%) was the most used complementary and alternative therapeutic treatment. By surveying experiences of radiation-induced dermatologic side effects in predominantly under-resourced and minority communities, we can better tailor patient education programs to reflect patients' experiences. Overall, this program can enhance clinicians' insight on under-resourced patient experiences to improve health literacy and dispel common misconceptions surrounding breast cancer treatment, management, and survivorship.

Research Progress on Quality Control Methods of Donkey-hide Gelatin Preparations

Donkey-hide Gelatin is a solid gum made by decoction and concentration of the dried skin or fresh skin of an equine donkey, which was first published in the The Holy Husbandman s Classic on Roots and Herbs, and listed as the top product. It has the effect of nourishing blood and nourishing yin, moisturizing and stopping bleeding. Through literature search, it was found that Donkey-hide Gelatin mainly used thermogravimetric analysis, gel electrophoresis, infrared spectroscopy, X-ray fluorescence spectroscopy, circular dichromatography [9], liquid chromatography-mass spectrometry, DNA extraction and amplification in authenticity, chemical composition and content analysis. The foundation of the quality control method of Donkey-hide Gelatin preparation is relatively weak, therefore, by combing the quality control methods of Donkey-hide Gelatin preparation in the past ten years, the advantages and disadvantages of the quality control method are discussed and evaluated, which provides reference value for the establishment of a comprehensive multi-faceted quality control system for Donkey-hide Gelatin preparation.

Development of Casting Product Using Reverse Engineering Technology: A Case Study

Abstract. One solution to increase domestic industry competitiveness and performance is mastering reverse engineering (RE) technology. Through mastery of this technology, the use of domestic components will increase. However, this is still an obstacle due to a weak understanding of RE technology and the availability of RE facilities. This article will examine the RE process of a casting product and optimize the product manufacturing process through simulation with casting software for the High-Pressure Die Casting (HPDC) process with a case study of a top body converter product. This research begins with product identification, development, and optimization. The next step is to determine the design and injection parameters to be simulated in the Inspire casting software and then design the HPDC mold. Through RE technology, this research has produced an optimal top body converter product with a weight 36% lighter than the initial weight, and an HPDC mold design for the optimal product has been produced.

The environmental impacts and sustainable pathways of the global diamond industry

Mining diamond poses significant and potentially underestimated risks to the environment worldwide. Here, we propose a Diamond Environmental Impacts Estimation (DEIE) model to forecast the environmental indicators, including greenhouse gas (GHG) emissions, mineral waste, and water usage of the diamond industry from 2030 to 2100 in the top diamond production countries under different Shared Socio-economic Pathways (SSPs). The DEIE projection results indicate that the annual GHG emissions, mineral waste, and water usage of the global diamond industry will reach 9.65 Mt, 422.80 Mt, and 78.68 million m3 under the SSP1-1.9 scenario, and 13.26 Mt, 582.84 Mt, and 107.95 million m3 under the SSP2-2.6 scenario in 2100, respectively. We analyze the environmental impact heterogeneities and the associated driving factors across the major diamond production countries identified by our DEIE framework. In addition, we find that lab-grown diamonds can reduce annual GHG emissions, mineral waste, and water usage by 9.58 Mt, 421.06 Mt, and 66.70 million m3 in 2100. The lab-grown diamond substitution policy can annually save 714 million cubic meters of landfill space, harvest 255 million kilograms of rice, feed 436 million people, and lift 1.19 million households out of hunger. The lab-grown diamond substitution policy could contribute to the diamond industry’s GHG mitigation and sustainability efforts in a cost-saving manner.

Closer look at postdecay tt¯ entanglement

Top pair production is ideally suited to observe postdecay entanglement, thus providing a novel test of quantum mechanics. We provide top polarized decay amplitudes that can be used to compute semianalytical predictions and, in particular, to better understand the postdecay entanglement arises. We obtain predictions for the LHC, identifying general phase space regions where experimental measurements of tW entanglement are feasible. We also give predictions for polarized e+e− collisions, focusing on the possibility that the postdecay tW entanglement is larger than the tt¯ one. Published by the American Physical Society 2024

OCCURRENCES OF LOW CLOUDS OVER THE WESTERN MARGINS OF THE CONGO BASIN (SEPTEMBER TO DECEMBER 2021)

This study aims to analyze the occurrence of low cumuliform clouds over the western margins of the Congo Basin from September to December 2021. The imagery of the Cloud Top Height product of Meteosat Second Generation set on synoptic hours (i.e. 00 hours, 06 hours, 12 hours and 18 hours) have been retained for this study. Through these data, we have developed an observation grid of 1° over the entire Congolese territory to make an inventory of low clouds identified at each 1°. The results obtained show that the low clouds appear most often between 00 hours and 12 hours. And the spatial distribution of the occurrences of clouds attests that the low cloud cover remains more pronounced in the Southern, Southwestern and Northern parts of the country.

Polymer 3D printing: global research trends

PurposeThis study aims to identify research trends and technological evolution in the polymer three-dimensional (3D) printing process that can effectively identify the direction of technological advancement and progress of acceptance in both society and key manufacturing industries.Design/methodology/approachThe Scopus database was used to collect data on polymer 3D printing papers. This study uses bibliometric approach along with network analytic techniques to identify and discuss the most important countries and their scientific collaboration, compares income groups and analyses keyword trends.FindingsIt was found that top research production results from heavy investments in research and development. The USA has the highest number of papers among the high-income countries. However, scientific production in the other two income groups is strongly dominated by China and India. Keyword analysis shows that countries with lower incomes in certain areas, such as composite and bioprinting, have fallen behind other groups over time. International collaborations were suggested as mechanisms for those countries to catch up with the current research trends. The evolution of the research field, which started with a focus on 3D printing processes and shifted to printed part designs and their applications, was discussed. The advancement of the research topic suggests that translational research on polymer 3D printing has been led mainly by research production from higher-income countries and countries with large research and development investments.Originality/valuePrevious studies have conducted performance analysis, science mapping and network analysis in the field of 3D printing, but none have focused on global research trends classified by country income. This study has conducted a bibliometric analysis and compared the outputs according to various income levels according to the World Bank classification.

Strategies to Improve the Sales Performance of Car Loan Products in Bank Shinhan Indonesia

In internal Bank Shinhan, My Car Loan is one of their top consumer products. However, when compared to other car financing competitors, Bank Shinhan was far behind in terms of sales performance. Hyundai Motors Indonesia has four official financial partners to support its car purchasing, namely: Maybank Finance, Mandiri Tunas Finance, Sunindo KB Finance, and Bank Shinhan. The company is the only bank-based financial partner, while the three others were multi-finance companies that specialized in car financing. Moreover, two of them, Mandiri Tunas Finance and Maybank were already well-known players in the car financing industry. Meanwhile, Bank Shinhan is a new player with low brand awareness among the public. In this research, the data collection methods were interviews and questionnaires. As for the research method, for the questionnaire data, the author used the NPS (Net Promoter Score) method and reliability test. As for the interview data, the author used the TA (thematic analysis) method. With this research, the author aimed to get insights to propose new strategies.

Assessing The Relationship Between Total Quality Management (TQM) Practices and Organizational Performance in Libyan Manufacturing Companies

In the contemporary landscape, manufacturing companies should actively cultivate their competitiveness and demonstrate the capacity to sustain a robust competitive advantage. Key factors in this pursuit are Organizational Performance (OP) and the implementation of Total Quality Management (TQM), which are widely recognized as crucial variables within the manufacturing sector. This study employs a comprehensive approach, utilizing descriptive analysis with the Statistical Package for Social Sciences (SPSS) and Structural Equation Modeling (SEM) employing the Partial Least Square (PLS) Approach Version 3.0. Distinguished by its capability to represent unobserved concepts in relationships, account for measurement errors in the estimation process, and validate the hypothesized model, this approach adds rigor to the investigation. The primary focus of this research is the assessment of the relationship of TQM implementation across a spectrum of companies, encompassing those with formal TQM programs and those incorporating TQM practices. Meticulously designed questionnaires are utilized for data collection, and distributed among various personnel, including total quality managers, supervisors, quality assistants, control managers, general managers, top manager production managers, and individuals possessing relevant quality expertise. Through rigorous hypothesis testing, the study aims to establish the relationships between TQM and OP. The findings reveal a positive relationship between TQM and OP in the manufacturing companies in Libya. It is anticipated that the outcomes of this study will serve as valuable insights and guidance for compliance managers and practitioners in Libyan manufacturing, fostering improvements in organizational performance through effective TQM implementations

Steady-State simulation of cryogenic distillation used for helium isotope separation

Helium-3 (3He) is an invaluable and scarce resource with applications in various scientific and industrial fields. It is typically found mixed with helium- 4(4He) in natural gas and nuclear off-gas, which is industrial source of helium. Therefore, separation of the helium isotope is necessary. Cryogenic distillation is a preferred method of separation due to its higher separation coefficient and processing capacity. In this study, a numerical steady-state simulation of cryogenic distillation column for helium isotope has been conducted using programming. The mathematical model for the equilibrium-state cryogenic distillation process was established and solutions of the thermodynamic formulation was proposed. The simulation provided the distribution of 3He and 4He along each distillation column as well as the profiles of temperature and flow rates along the column, based on the designed specifications including the composition of the feeding mixture, feed flow rate and pressure. The required heat duty of the condenser and reboiler was also calculated, and the column dimensions were estimated. Besides, we have studied the effects of the reflux ratio and feed concentration of 3He on the final isotopic contents of the top and bottom products. The results demonstrated that the distillation simulation could provide crucial theoretical support for the smooth execution of future laboratory experiments.

Simplifying the injector's armamentarium: An international consensus regarding the use of gel science to differentiate hyaluronic acid fillers and guide treatment recommendations.

The Restylane portfolio of soft tissue fillers spans a wide range of indications, due in part to their complementary manufacturing technologies [non-animal stabilized hyaluronic acid (NASHA) and Optimal Balance Technology (OBT/XpresHAn)]. Using an array of products, injectors can achieve a holistic, natural looking effect for their patients. However, with a wide range of products it may be difficult to choose an optimal combination. Simplify and align global use recommendations for NASHA versus OBT products. Two pre-meeting surveys were completed by 11 key opinion leaders with international representation, with the goal of collecting information regarding their current injection practices for various anatomical regions of the face (i.e., temporal region, forehead, tear trough, lateral zygoma, anteromedial cheek, nose, pyriform aperture, nasolabial fold, perioral area, lips, labiomental crease, marionette lines, chin, and jawline). The data collected from these surveys was subsequently discussed in a consensus group meeting involving 11 voting members and 3 nonvoting members. Top product recommendations were identified for each anatomical area, along with secondary and tertiary recommendations that can also be used under defined circumstances. Recommendations were provided based on a consideration of elements such as patient features (e.g., skin thickness, bone structure), the desired aesthetic outcome, experience of the injector, and the preferred injection technique. A majority consensus regarding the top NASHA versus OBT product choice for each anatomical region of the face was reached. These recommendations represent international agreement regarding the use of Restylane products.

Data Biasing Removal with Blockchain and Crowd Annotation

In today's world of internet marketing product review plays a crucial role. Often E-Commerce companies are accused of manipulating with the data and it suffers from biasing. Biasing leads to wrong customer's view creation thereby prediction for a top rating product fails. This study shows how crowd annotation prevents this biasness and thereby design a smart contract which ultimately will help to eliminate the data manipulation. The smart contract is deployed and tested to see if data can be saved in the run time storage memory regions of the Ethereum blockchain, and the test results are positive. In future this will help to get the unbiased data and better machine learning results, which will ultimately be beneficial for the economy.

Spatial-temporal dynamics of paddy productivity on the north coast of Java Island, Indonesia based on the principal component analysis of MODIS NDVI anomaly data

Comprehending the dynamics of paddy productivity is imperative for enhancing the efficacy of agricultural land developments. This study provides the application of principal component analysis (PCA) as a method for visualizing the spatial-temporal changes in paddy productivity. The analysis is conducted using the 8-day NDVI (normalized difference vegetation index) anomaly data of MODIS (Moderate Resolution Imaging Spectroradiometer) data spanning the period from 2000 to 2020. The regencies of Karawang, Subang, and Indramayu on the north coast of Java island are chosen as the study area because of their top rice production areas in Indonesia. The results show that the first leading PCA of the NDVI anomaly is related to the interannual variability of paddy productivity with 3-4 year cycles. The spatial and temporal dynamics of the first mode of eigenvectors and principal component time series can generally be grouped into nine categories. Two important categories to note are category-1 (1 January – 19 March) and category-8 (12 September – 16 December). In category-1, the NDVI anomalies move from north to middle and middle to north areas in Karawang and Subang regencies, respectively. In Indramayu Regency, the NDVI anomalies relatively remain in almost all areas. In contrast, in category-8 the NDVI anomalies move from the middle to northern areas in Karawang, Subang, and Indramayu regencies.

Cytopathological effects of banana bunchy top virus and production of BBTV free banana plants using in vitro culture technique.

Cytopathological effects of banana bunchy top virus and production of BBTV free banana plants using in vitro culture technique.

Strategic Optimization Technique for Achieving Sustainable Inventory Management in Medium-Sized Enterprises

Medium-sized enterprises face the dual challenge of optimizing inventory practices while aligning with sustainable objectives. Effective inventory management in medium-sized enterprises remains a critical factor in balancing operational efficiency and sustainability. This study addresses the challenge by investigating strategic optimization approaches for inventory control. The background explores the complexities of inventory management, emphasizing the need for enhanced techniques in medium-sized enterprises. The problem statement underscores the necessity of innovative methodologies to navigate the intricate landscape of inventory control and sustainability. To address these challenges, advanced methodology based on LightGBM is applied to forecast demand, assess vendor purchase costs, optimize stock levels, and evaluate predictive performance. Empirical findings, showcased through visualizations, revealed insights into the distribution of purchase costs among vendors, daily sales velocity by product, and comparisons between current and recommended stock levels for top products. Comparative analyses demonstrated LightGBM's superior predictive performance over baseline models, highlighting its potential as a valuable tool in decision-making for inventory management.

2-DOF Preview Feedforward Sliding Mode Controller for the Control of Multivariable Process with Dead Time

This paper proposes a 2-DOF preview feedforward sliding mode controller (PFFSMC), which has a combination of feedback and feedforward terms in the sliding surface, for controlling the multivariable process with dead time, for both set point tracking and disturbance rejection. The proposed controller is applied for the control of the Wood and Berry binary distillation column having the composition of top and bottom products. The performance of the 2-DOF PFFSMC is compared with that of the 1-DOF preview sliding mode controller. The proposed controller delivered better responses for set point tracking and for disturbance rejection. The performance of the proposed 2-DOF PFFSMC is compared with the other controllers reported in the literature and, it was found that there was a significant reduction in the settling time by more than 76%, without any overshoot in the closed loop response. The proposed controller was robust against ±5% parametric uncertainties in gain, time constant, and dead time when these uncertainties were considered alone and together. The stability of the proposed controller was verified using the Lyapunov stability criterion.