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Influence Of Different Breeds Of Pigs To The Natural Succession, H D. Matthes, A.C D. Micklich, G Dietl, H Mohring, W Jentsch Jul 2024

Influence Of Different Breeds Of Pigs To The Natural Succession, H D. Matthes, A.C D. Micklich, G Dietl, H Mohring, W Jentsch

IGC Proceedings (1977-2023)

The aim of this study was to find out the effect of pigs on the natural succession. We used 4 different breeds of pigs for our investigations. Because of the grazing behaviour and their rooting activity the total number of plants increased up to 30%. But the vegetation quickly returned to conditions prior to rooting, if the rooting activity fails to happen. Rooting activity of pigs on floodplain soil and following grazing in the next spring after rooting permits seeds of different species of plants to germinate and develop in the plant free areas. These plants often have little chance …

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Longitudinal Investigation Of Early Mathematical Achievement And Classroom Strategic Diversity: A Replication And Extension Study, Douglas H. Clements, Yixiao Dong, Crystal A. Day-Hess, Julie Sarama Jul 2024

Longitudinal Investigation Of Early Mathematical Achievement And Classroom Strategic Diversity: A Replication And Extension Study, Douglas H. Clements, Yixiao Dong, Crystal A. Day-Hess, Julie Sarama

Early Childhood Special Education: Faculty Scholarship

Developing solution strategies, effortful procedures that students employ to solve a specific problem, is an important mathematical goal. Studies have documented intraindividual strategy variability and its significance for learning, but only some have addressed the interindividual strategic diversity across students within a classroom. This study analyzed classroom strategy diversity using assessments of 527 kindergartens to 2nd-grade students. Latent growth modeling analysis revealed that the best fit was a spline model featuring two phases of linear growth with different growth rates (i.e., one in Kindergarten, the other from Kindergarten spring to second grade). A growth mixture modeling analysis demonstrated that only …

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Ion-Mediated Structural Discontinuities In Phospholipid Vesicles, Judith U. De Mel, Stefanie Klisch, Sudipta Gupta, Gerald J. Schneider Jul 2024

Ion-Mediated Structural Discontinuities In Phospholipid Vesicles, Judith U. De Mel, Stefanie Klisch, Sudipta Gupta, Gerald J. Schneider

Faculty Publications

Despite intense research, methods for controlling soft matter’s spontaneous self-assembly into well-defined layers remain a significant challenge. We observed ion-induced structural discontinuities of phospholipid vesicles that can be exploited for controlled self-assembly of soft materials, using DOPC and NaCl as a model system. The observations were made for the 0.25 wt % lipid concentration. We used dynamic light scattering, zeta-potential measurement, cryo-electron microscopy, small-angle X-ray, and small-angle neutron scattering to understand the reason for the discontinuities. For salt concentrations below 8 mM, we observed a decrease in the liposome diameter with increased NaCl concentration. Above 8 mM, we measured a …

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A Scalable Parallel Processing Design For The Data Washing Machine: An Unsupervised Entity Resolution System, Nicholas Kofi Akortia Hagan Jul 2024

A Scalable Parallel Processing Design For The Data Washing Machine: An Unsupervised Entity Resolution System, Nicholas Kofi Akortia Hagan

Theses and Dissertations

Entity Resolution (ER) has been one of the bedrocks in the creation of information systems by ensuring ambiguous entities are identified and resolved by linking. One common design approach of traditional ER systems is to run in single-threaded mode, which makes the system prone to out-of-memory error when processing larger datasets. The Data Washing Machine (DWM) as a proof-of-concept of an unsupervised cluster ER system is indifferent from this common design bottleneck. The original prototype design of the DWM requires shared memory tables and dictionaries of tokens, and its single-threaded nature makes it not scalable, hence not viable for real-world …

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Improving Seventh Grade Mathematics Achievement Using Differentiated Instructional Strategies, Melanie C. Bush Jul 2024

Improving Seventh Grade Mathematics Achievement Using Differentiated Instructional Strategies, Melanie C. Bush

Education Theses and Dissertations

The Improvement Science Dissertation in Practice conducted a comprehensive assessment of differentiated instruction implemented within a school district in East Texas, focusing on its impact on student achievement in mathematics. The initial evaluation was followed by a subsequent improvement iteration that concentrated on the specific differentiated instructional strategies of formative assessment and small group instruction, supported by job-embedded professional learning, and their effects on student performance. Both iterations employed a mixed-methods case study design utilizing an embedded experimental model with a one-phase approach. The study’s methodology allowed for a robust analysis of both quantitative and qualitative data, providing a comprehensive …

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Effect Of Local Chain Stiffness On Oligomer Crystallization From A Melt, Pierre Kawak, Christopher Akiki, Douglas R. Tree Jul 2024

Effect Of Local Chain Stiffness On Oligomer Crystallization From A Melt, Pierre Kawak, Christopher Akiki, Douglas R. Tree

Faculty Publications

While the process by which a polymer crystal nucleates from the melt has been extensively studied via molecular simulation, differences in polymer models and simulated crystallization conditions have led to seemingly contradictory results. We make steps to resolve this controversy by computing low-temperature phase diagrams of oligomer melts using Wang-Landau Monte Carlo simulations. Two qualitatively different crystallization mechanisms are possible depending on the local bending stiffness potential. Polymers with a discrete bending potential crystallize via a single-step mechanism, whereas polymers with a continuous bending potential can crystallize via a two-step mechanism that includes an intermediate nematic phase. Other model differences …

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On The Asymptotics Of Cubic Fields Ordered By General Invariants, Arul Shankar, Frank Thorne Jul 2024

On The Asymptotics Of Cubic Fields Ordered By General Invariants, Arul Shankar, Frank Thorne

Faculty Publications

In this article, we introduce a class of invariants of cubic fields termed “generalized discriminants”. We then obtain asymptotics for the families of cubic fields ordered by these invariants. In addition, we determine which of these families satisfy the Malle–Bhargava heuristic.

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Novel Approaches To The Activation Of Chalcogenoglycosides For O-Glycosylation, Tiffany Duong Jul 2024

Novel Approaches To The Activation Of Chalcogenoglycosides For O-Glycosylation, Tiffany Duong

LSU Doctoral Dissertations

Carbohydrates are integral to various biological processes such as cell signaling, function and regulation. Carbohydrates also play critical roles in various disease and metastatic pathways. This has garnered considerable attention to the field of glycoscience, however, the study of carbohydrate-containing compounds remains a challenge due to the difficulty in obtaining pure samples from natural sources. As a result, the biological evaluation of carbohydrates relies on synthetic chemistry to produce pure compounds in significant quantities. However, the synthesis of carbohydrates present their own challenges owing to the complexity in controlling stereochemistry and regiochemistry. The most significant of these challenges is controlling …

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Endoplasmic Reticulum Morphology Regulation By Rtn4 Modulates Neuronal Regeneration By Curbing Luminal Transport., Laura M. Westrate, Pierre Parutto, Cecile C. Crapart, Elena F. Koslover, Edward Avezov, Tasuku Konno Jul 2024

Endoplasmic Reticulum Morphology Regulation By Rtn4 Modulates Neuronal Regeneration By Curbing Luminal Transport., Laura M. Westrate, Pierre Parutto, Cecile C. Crapart, Elena F. Koslover, Edward Avezov, Tasuku Konno

University Faculty Publications and Creative Works

Cell functions rely on intracellular transport systems distributing bioactive molecules with high spatiotemporal accuracy. The endoplasmic reticulum (ER) tubular network constitutes a system for delivering luminal solutes, including Ca2+, across the cell periphery. How the ER structure enables this nanofluidic transport system is unclear. Here, we show that ER membrane-localized reticulon 4 (RTN4/Nogo) is sufficient to impose neurite outgrowth inhibition in human cortical neurons while acting as an ER morphoregulator. Improving ER transport visualization methodologies combined with optogenetic Ca2+ dynamics imaging and in silico modeling, we observed that ER luminal transport is modulated by ER tubule narrowing and dilation, proportional …

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Multi-Antigen Intranasal Vaccine Protects Against Challenge With Sarbecoviruses And Prevents Transmission In Hamsters, Ankita Leekha, Arash Saeedi, K M Samiur Rahman Sefat, Monish Kumar, Melisa Martinez-Paniagua, Adrian Damian, Rohan Kulkarni, Kate Reichel, Ali Rezvan, Shalaleh Masoumi, Xinli Liu, Laurence J N Cooper, Manu Sebastian, Courtney M Sands, Vallabh E Das, Nimesh B Patel, Brett Hurst, Navin Varadarajan Jul 2024

Multi-Antigen Intranasal Vaccine Protects Against Challenge With Sarbecoviruses And Prevents Transmission In Hamsters, Ankita Leekha, Arash Saeedi, K M Samiur Rahman Sefat, Monish Kumar, Melisa Martinez-Paniagua, Adrian Damian, Rohan Kulkarni, Kate Reichel, Ali Rezvan, Shalaleh Masoumi, Xinli Liu, Laurence J N Cooper, Manu Sebastian, Courtney M Sands, Vallabh E Das, Nimesh B Patel, Brett Hurst, Navin Varadarajan

Faculty, Staff and Student Publications

Immunization programs against SARS-CoV-2 with commercial intramuscular vaccines prevent disease but are less efficient in preventing infections. Mucosal vaccines can provide improved protection against transmission, ideally for different variants of concern (VOCs) and related sarbecoviruses. Here, we report a multi-antigen, intranasal vaccine, NanoSTING-SN (NanoSTING-Spike-Nucleocapsid), eliminates virus replication in both the lungs and the nostrils upon challenge with the pathogenic SARS-CoV-2 Delta VOC. We further demonstrate that NanoSTING-SN prevents transmission of the SARS-CoV-2 Omicron VOC (BA.5) to vaccine-naïve hamsters. To evaluate protection against other sarbecoviruses, we immunized mice with NanoSTING-SN. We showed that immunization affords protection against SARS-CoV, leading to protection …

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Effect Of Flow Velocity On Clogging Induced By Coal Fines In Saturated Proppant Packs: A Transition From Surface Deposition To Bridging, Fansheng Huang, Fengbin Wang, Shuxun Sang, Shiqi Liu, Zhenjiang You Jul 2024

Effect Of Flow Velocity On Clogging Induced By Coal Fines In Saturated Proppant Packs: A Transition From Surface Deposition To Bridging, Fansheng Huang, Fengbin Wang, Shuxun Sang, Shiqi Liu, Zhenjiang You

Research outputs 2022 to 2026

Hydraulic fracturing is a widely used technique to enhance the production of coalbed methane reservoirs. However, a common issue is the invasion of coal fines into proppant packs, leading to pore clogging and reduced conductivity. This study investigated the impact of flow velocity on clogging by coal fines in saturated proppant packs to optimize the flow velocity and alleviate clogging during dewatering. Clogging experiments induced by coal fines were conducted on saturated proppant packs with varying superficial velocities. Throughout each experiment, the permeability and effluent concentration were monitored, and the process of clogging was visually observed using an optical microscope. …

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Tracking In Middle School Mathematics: The Effects Of Honors Mathematics Course Placement On Student Access And Achievement, Kasey Gamez Jul 2024

Tracking In Middle School Mathematics: The Effects Of Honors Mathematics Course Placement On Student Access And Achievement, Kasey Gamez

LMU Theses and Dissertations

This study used a mixed methods approach to examine student access and achievement differences based on the students’ 7th-grade mathematics class placement. Additionally, this study investigated the difference between teachers’ perceptions and pedagogical decisions based on their students’ placement levels. Finally, this study asked for teacher recommendations on developing an equitable mathematics placement policy. Findings revealed that students placed in 7th-grade honors courses are achieving at higher levels than their non-honors peers. The study also found that teachers hold their honors students to higher standards than their non-honors students and limit their non-honors students’ access to higher-level mathematics. The study …

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Student Nurse Experiences Of Retention Strategies And The Perceived Contribution To Academic Progress, Jessica Dugas Jul 2024

Student Nurse Experiences Of Retention Strategies And The Perceived Contribution To Academic Progress, Jessica Dugas

Walden Dissertations and Doctoral Studies

There is a worldwide nursing shortage that has been heightened by the COVID-19 pandemic. Several factors have contributed to the worsening shortage, including high attrition rates in nursing programs. Retention strategies have been suggested to support nursing students during their education to have success and graduate. The purpose of this descriptive qualitative study was to explore how nursing students experience retention strategies and their perceived contributions to academic progress. Bandura’s social cognitive theory was the theoretical framework used to guide the study. Data were collected from one-on-one interviews with 12 nursing students recruited using purposeful and snowball sampling. Data were …

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Teaching Staff Mathematics University: Catalyst Of The Emotional-Techno-Ontological Logic, Derling Jose Mendoza Velazco Dr, Magda Francisca Cejas Martínez Phd, Carmen Siavil Varguillas Carmona Phd, Mercedes Carolina Navarro Cejas Phd, Gina Silvana Venegas Álvarez M.Sc. Jul 2024

Teaching Staff Mathematics University: Catalyst Of The Emotional-Techno-Ontological Logic, Derling Jose Mendoza Velazco Dr, Magda Francisca Cejas Martínez Phd, Carmen Siavil Varguillas Carmona Phd, Mercedes Carolina Navarro Cejas Phd, Gina Silvana Venegas Álvarez M.Sc.

The Qualitative Report

The relevance of the study lies in the necessity to investigate the psycho-emotional state of teachers during the transition to remote teaching in universities and its impact on academic performance and emotional state of students. The aim of the research was to develop a theoretical approach to describe the emotional and techno-ontological logic of mathematics teachers during distance learning during the COVID-19 pandemic and the impact of their emotional state on the learning process. The study involved teachers and students from universities in Ecuador, both private and public. The study observed the behavior of teachers and students, analyzed the use …

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Development And Validation Of The Identity Negotiation Experiences And Strategies Scale, Renee V. Galliher, Joshua G. Parmenter, Lee Pradell, Theo Klimstra Jul 2024

Development And Validation Of The Identity Negotiation Experiences And Strategies Scale, Renee V. Galliher, Joshua G. Parmenter, Lee Pradell, Theo Klimstra

Psychology Faculty Publications

A rich theoretical and empirical literature captures experiences of identity conflict and tension at the nexus of identity domains that feel incompatible. The Identity Negotiation Experiences and Strategies (INES) scale was developed to provide a quantitative tool for capturing experiences of identity strain or conflict, and strategies for responding to or managing strain. Focus groups with college students from the United States, the Netherlands, and Finland were used to develop a pool of items capturing students' identity negotiation experiences. Subsequently, two college student samples from the United States and the Netherlands were used to refine the scale and assess psychometric …

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Constrained Quantization For The Cantor Distribution, Megha Pandey, Mrinal Kanti Roychowdhury Jul 2024

Constrained Quantization For The Cantor Distribution, Megha Pandey, Mrinal Kanti Roychowdhury

School of Mathematical & Statistical Sciences Faculty Publications

The theory of constrained quantization has been recently introduced by Pandey and Roychowdhury. In this paper, they have further generalized their previous definition of constrained quantization and studied the constrained quantization for the classical Cantor distribution. Toward this, they have calculated the optimal sets of n-points, nth constrained quantization errors, the constrained quantization dimensions, and the constrained quantization coefficients, taking different families of constraints for all n∈N. The results in this paper show that both the constrained quantization dimension and the constrained quantization coefficient for the Cantor distribution depend on the underlying constraints. It also shows that the constrained quantization …

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Improvements On Model-Free Sliding Mode Control’S Implementation And Estimation Techniques, Joshua Coleman Jul 2024

Improvements On Model-Free Sliding Mode Control’S Implementation And Estimation Techniques, Joshua Coleman

Theses

Systems continue to grow in complexity to meet the demands of today’s society. To control severe nonlinearities and protect against errors in the system model, control methods with wider stability margins are necessary. However, most robust control methods require an increased energy cost to guarantee stability with wider margins. Furthermore, most current control methods are derived using system models, which are difficult to develop for complex systems. Model-Free Sliding Mode Control is promising in overcoming the aforementioned difficulties; the control output is only determined by the system order, previous control values, and state measurements. The control scheme’s characteristics have been …

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The Radiative And Geometric Properties Of Melting First-Year Landfast Sea Ice In The Arctic, Nathan J. M. Laxague, Christopher J. Zappa, Andrew R. Mahoney, John Goodwin, Cyrus Harris, Robert E. Schaeffer, Roswell Schaeffer, Sarah Betcher, Donna D W Hauser, Carson R. Witte, Jessica M. Lindsay, Ajit Subramaniam, Kate E. Turner, Alex Whiting Jul 2024

The Radiative And Geometric Properties Of Melting First-Year Landfast Sea Ice In The Arctic, Nathan J. M. Laxague, Christopher J. Zappa, Andrew R. Mahoney, John Goodwin, Cyrus Harris, Robert E. Schaeffer, Roswell Schaeffer, Sarah Betcher, Donna D W Hauser, Carson R. Witte, Jessica M. Lindsay, Ajit Subramaniam, Kate E. Turner, Alex Whiting

Faculty Publications

In polar regions, sea ice is a crucial mediator of the interaction between Earth's atmosphere and oceans. Its formation and breakup is intimately connected with large-scale climatic processes, local weather patterns, and the use of sea ice in coastal Arctic regions by Indigenous people. In order to investigate the physical phenomena at the heart of this process, a set of targeted, intensive observations were made over spring sea ice melt and breakup in Kotzebue Sound, Alaska. These observations were planned and executed through a collaborative effort in which an Indigenous Elder advisory council from Kotzebue and scientists participated in co-production …

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Trust Criteria For Artificial Intelligence In Health: Normative And Epistemic Considerations, Kristin Kostick-Quenet, Benjamin H Lang, Jared Smith, Meghan Hurley, Jennifer Blumenthal-Barby Jul 2024

Trust Criteria For Artificial Intelligence In Health: Normative And Epistemic Considerations, Kristin Kostick-Quenet, Benjamin H Lang, Jared Smith, Meghan Hurley, Jennifer Blumenthal-Barby

Center for Medical Ethics and Health Policy Staff Publications

Rapid advancements in artificial intelligence and machine learning (AI/ML) in healthcare raise pressing questions about how much users should trust AI/ML systems, particularly for high stakes clinical decision-making. Ensuring that user trust is properly calibrated to a tool's computational capacities and limitations has both practical and ethical implications, given that overtrust or undertrust can influence over-reliance or under-reliance on algorithmic tools, with significant implications for patient safety and health outcomes. It is, thus, important to better understand how variability in trust criteria across stakeholders, settings, tools and use cases may influence approaches to using AI/ML tools in real settings. As …

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Effect Of Beef Heifer Development Systems Utilizing Corn Residue And Late Summer Planted Cover Crops On Growth, Reproductive Performance, And Economics, Hannah F. Speer, Robert A. Cushman, Harvey Freetly, Jay Parsons, Jessica Windh, M. E. Drewnoski Jul 2024

Effect Of Beef Heifer Development Systems Utilizing Corn Residue And Late Summer Planted Cover Crops On Growth, Reproductive Performance, And Economics, Hannah F. Speer, Robert A. Cushman, Harvey Freetly, Jay Parsons, Jessica Windh, M. E. Drewnoski

Department of Agricultural Economics: Faculty Publications

The objective of this study was to evaluate growth and reproductive performance of heifers developed using 3 different winter systems in the midwestern U.S. Spring-born heifers (n = 1,156; 214 d of age; SD ± 17 d) were used in a 3-yr study to evaluate performance in winter development systems, which utilized cover crop (CC) and corn residue grazing. Heifers were assigned to 1 of 3 treatments: grazing corn residue with 0.77 kg/d dried distillers grains (CD) or 1.69 kg/d wheat midds (CW) supplementation followed by a grower ration in the drylot, or grazing late summer planted oat-brassica CC followed …

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Transforming Libraries Through Engagement: Lessons From A Library Ai Interest Group, Lily Dubach, Rachel Vacek Jul 2024

Transforming Libraries Through Engagement: Lessons From A Library Ai Interest Group, Lily Dubach, Rachel Vacek

Faculty Scholarship and Creative Works

Learn how one academic library is engaging with its employees to explore the latest trends, tools, and topics in AI through an interest group (IG). Through stimulating discussions, webinars, guest speakers, demos, and sharing of experiences with AI, the IG empowers its library community to explore and become more comfortable with AI. This session caters to varying levels of AI expertise. Challenges, successes, and valuable insights for deeper engagement will be shared so you can learn how to establish a similar initiative in your library.

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07.08.2024 Orsp Connect, Liz Williamson Jul 2024

07.08.2024 Orsp Connect, Liz Williamson

ORED Newsletter

NSF research infrastructure, IDS (Institute for Data Science), NSF Mentoring Plan Requirement, NSF Pilot for Startups and Small Businesses

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Design And Analysis Of A New Type Of Fresh Peach Slitting Machine, Zhang Yifei Jul 2024

Design And Analysis Of A New Type Of Fresh Peach Slitting Machine, Zhang Yifei

Food and Machinery

[Objective] To deal the technical difficulties in further realizing the automation of de nucleating production of fresh peach slices. [Methods] A new type of fresh peach slicing and coining machine was designed. The cutting tool for slice kerning was simplified and analyzed by Mathematical analysis, and the motion characteristic equation and curve of the mechanism were obtained. The motion simulation analysis of the slicing and core-removing tool mechanism was carried out by using SolidWorks Motion software, and the motion characteristic curve of the mechanism was obtained.The correctness of the mathematical analysis was verified, and the rationality of the design of …

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Examining School Belonging And Academic Resilience Among Biliterate And Multilingual High School Students, Keila Moreno Navarrete Jul 2024

Examining School Belonging And Academic Resilience Among Biliterate And Multilingual High School Students, Keila Moreno Navarrete

Theses and Dissertations

An increasing number of students in the United States identify as Hispanic or Latino/a. These students enter American classrooms from varying backgrounds with diverse talents. Many of these students are proficient in at least two languages. Unfortunately, Hispanic students are underrepresented in gifted and talented programs, nationwide. The present study contributes to the limited empirical research on talented, biliterate, Hispanic, first-generation, and second-generation immigrant students by investigating strength-based factors (i.e., academic resilience, biliteracy, and school belonging) using both quantitative and qualitative evidence. Quantitative data from 30 bilingual Hispanic high school students were collected through an online survey with items measuring …

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Native American Higher Education Students’ Perspectives Of Preparation And Encouragement Received Prior To College Entrance, David Edward Marshall Jul 2024

Native American Higher Education Students’ Perspectives Of Preparation And Encouragement Received Prior To College Entrance, David Edward Marshall

Walden Dissertations and Doctoral Studies

The problem addressed through this study was that Native American students in the area surrounding a local university participated in higher education at low levels. The purpose of this basic qualitative study was to explore local Native American college student perspectives about becoming a college student, including their individual experiences and recommendations for increasing future Native American college participation. The conceptual framework for the study included Tinto’s model of student integration and Bandura’s social learning theory. Three research questions were addressed regarding Native American college student perspectives on becoming a college student; the experiences, programs, and support that led to …

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Machine Learning Prediction Of Copper Ion Interference With Mercury Ion Fluorescence Signals In Food Heavy Metal Detection, Song Fangliang, Liang Ying, Dong Jie, Wang Xuejie, Qian Jie Jul 2024

Machine Learning Prediction Of Copper Ion Interference With Mercury Ion Fluorescence Signals In Food Heavy Metal Detection, Song Fangliang, Liang Ying, Dong Jie, Wang Xuejie, Qian Jie

Food and Machinery

Objective: To construct an artificial intelligence prediction model to predict the selectivity of fluorescent probes for Hg2+ in a complex food testing environment in the presence of Cu2+ interference. Methods: Fluorescent probe technology combined with seven advanced classical machine learning models was used to predict and analyze the selectivity of the probe for Hg2+ in the presence of Cu2+ interference, and to compare the prediction effect of each model and select the optimal model. Results: Efficient models with accuracies of 0.786 and 0.810 in the cross-validation and test sets were successfully established based on Molecular 2D …

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Preparation And Properties Of Rice Protein Hydrolysate-Xanthan Gum Nanocarriers, Yang Yuqi, Yan Peizhou, Cheng Yunhui, Lin Qinlu, Wang Jing, Jiao Ye Jul 2024

Preparation And Properties Of Rice Protein Hydrolysate-Xanthan Gum Nanocarriers, Yang Yuqi, Yan Peizhou, Cheng Yunhui, Lin Qinlu, Wang Jing, Jiao Ye

Food and Machinery

Objective: To enhance the water solubility and stability of hydrophobic active substances. Methods: A nano-delivery system of rice protein hydrolysate （RPH）-xanthan gum （XG）-curcumin （Cur） was developed, wherein curcumin served as the delivery object, and the encapsulation efficiency, stability, antioxidant activity, and formation mechanism of the nanoparticles were determined and analyzed. Results: The encapsulation efficiency of RPH-XG-Cur nanoparticles reached 78.40%, with a particle size of 74.78 nm, PDI of 0.36, and Zeta potential of -27.93 mV. Remarkably, the incorporation of xanthan gum significantly improved the encapsulation performance as well as pH and ionic strength stability of the nanoparticles. Fourier infrared and …

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Lightweight Banana Ripeness Detection Based On Improved Alexnet, Jiang Yu, Wang Lingmin Jul 2024

Lightweight Banana Ripeness Detection Based On Improved Alexnet, Jiang Yu, Wang Lingmin

Food and Machinery

Objective: To obtain a lightweight Mini-Alexnet banana ripeness grading model and apply it to Android mobile devices. Methods: Based on the external characteristics of bananas with different ripeness, the Alexnet network model was restructured, part of the convolutional layer was deleted, and the global average pooling was used instead of the full connection layer to reduce the model parameters and required memory. A larger convolutional kernel was replaced to extract the global characteristics of the banana skin to achieve an improved lightweight Mini-Alexnet network model. Then the Mini-Alexnet network model was deployed as Android mobile APP, and its feasibility and …

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Evaluation Of Uncertainty In Determination Of Two Quaternary Ammonium Salt Disinfectants In Drinking Water By High-Performance Liquid Chromatography Tandem Mass Spectrometry, Zhang Xuemei, Kong Xiangji, Tian Feng Jul 2024

Evaluation Of Uncertainty In Determination Of Two Quaternary Ammonium Salt Disinfectants In Drinking Water By High-Performance Liquid Chromatography Tandem Mass Spectrometry, Zhang Xuemei, Kong Xiangji, Tian Feng

Food and Machinery

[Objective] To achieve good internal quality control of determination of decamethylammonium chloride and benzalkonium chloride residues in drinking water by high performance liquid chromatography tandem mass spectrometry, and to promote the improvement of detection methods. [Methods] A mathematical model and fishbone diagram were established to evaluate the introduced uncertainty components, and the combined standard uncertainty and expanded uncertainty were calculated. [Results] Under the inclusion factor k=2, and the decamethylammonium chloride and benzalkonium chloride residue in drinking water samples was 4.3 μg/L and 4.7 μg/L and their expanded uncertainty U was 0.52 μg/L and 0.48 μg/L, respectively. [Conclusion] The uncertainty …

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Draft Final 2024 Residential Metals Abatement Program (Rmap) Brown’S Gulch Borrow Submittal #1, Pioneer Technical Services, Inc. Jul 2024

Draft Final 2024 Residential Metals Abatement Program (Rmap) Brown’S Gulch Borrow Submittal #1, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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