cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
THE RESPONSE OF THE PRODUCTIVITY OF PHARMACEUTICAL FIRMS TO HUMAN CAPITAL INVESTMENT: EVIDENCE FROM NIGERIA.
Creators: name: Ogugua, S.P.O., Ph.D.
Publisher: name: ZAP JOURNALS
Year: 2025
Subjects: Human capital investment, Training, Education, Staff, Healthcare services productivity

description: This study examined the response of the productivity of pharmaceutical firms to human capital investment: evidence from Nigeria. The study specifically examined the relationship of: staff education/training and staff healthcare services to return on investment of Pharmaceutical firms in Nigeria. Data of the study were sourced from annual reports of the five (5) sampled pharmaceutical firms. Hypotheses raised were analysed using Correlation Coefficient, result of the hypotheses shows that staff training expenses of pharmaceutical firms in Nigeria positively and significantly relate with the firms Return on investment with Pearson Correlation result of. 723**and P-value of 0.000. This implies that staff training cost has a positive influence on the return on investment of the selected firms under study. It was discovered from the study that staff healthcare services of pharmaceutical firms in Nigeria positively and significantly relate with the firms return on investment with Pearson Correlation result of .657**and P-value of 0.000. This implies that staff healthcare services have a positive influence on return on investment of Pharmaceutical firms in Nigeria. Based on the findings, the study recommends among others that firms should implement more of on-the-job training in order to reduce expenses on staff training. On the job training should be augmented with other forms of staff training
Additional file 1 of Did the increase in sitting time due to COVID-19 lead to obesity in adolescents?
Creators: name: Kim, Dahyun
name: Kim, Woorim
name: Choi, Mingee
name: Shin, Jaeyong
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Environmental Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy
subject: Computational Biology

description: Additional file 1.
ZAMONAVIY SHAROITDA INVESTITSIYA LOYIHALARINI BOSHQARISH
Creators: name: Abdullayeva, Madina
Publisher: name: Zenodo
Year: 2025

description: Zamonaviy iqtisodiy rivojlanish sharoitida investitsiya loyihalarini samarali boshqarish masalasi global va milliy darajada dolzarb ahamiyat kasb etmoqda. Bugungi kunda jahon bozorlaridagi o‘zgaruvchanlik, texnologik innovatsiyalar, raqobatning kuchayishi va resurslar uchun kurash loyihalarning har bir bosqichini puxta va strategik rejalashtirishni talab qilmoqda. Investitsiya loyihalari iqtisodiy o‘sish, yangi ish o‘rinlari yaratish, raqamli transformatsiya va infratuzilmani rivojlantirish kabi asosiy yo‘nalishlarning harakatlantiruvchi kuchi sifatida e’tirof etiladi. Ayniqsa, rivojlanayotgan davlatlar uchun investitsion faollik  xalqaro kapitalni jalb qilish, yangi texnologiyalarni import qilish va xalqaro bozorga integratsiyalashish vositasi sifatida muhim strategik vazifa bo‘lib qolmoqda.
Does Indigenous Involvement Matter? Indigenous Political Participation and Representation in Canadian Electoral Institutions - Assessing the Forty Second Federal Election and Parliament
Creators: Cowie, Chadwick R.J.
Publisher: name: University of Alberta Library
Year: 2024

This doctoral thesis seeks to consider whether or not Indigenous participation in Canadian federal electoral politics matters and whether such participation can effect change. In order to answer this question, this doctoral thesis will first analyse the complex relationship between Indigenous peoples, and their respective nations, and the Canadian state. In doing so, the traditional western understanding of citizenship and civic duty do not fit into the Indigenous psyche when looking at said participation – especially when considering concepts such as reconciliation. Additionally, the question of whether or not change and reconciliation can be achieved by casting ballots in high numbers will be examined through a specific focus on the 2015 Canadian federal election and the first term of the Justin Trudeau-led government. Furthermore, in discussing and assessing Indigenous participation during the Trudeau government’s first term, the use of interviews with Indigenous peoples who were active participants will be included as their responses assist with offering understanding from first-hand accounts of involvement at a time that reconciliation was promised and promoted not only within platforms but also while campaigning. Despite the promises made, and the initial hope of many of those who participated, this doctoral thesis will conclude that the form of reconciliation that is actually in practice comes specifically from Indigenous participants as they seek to reconcile with Canada’s top-down approach and the slow pace of progress that Canada practices.
PI-Controlled Variable Time-Step Power System Simulation Using an Adaptive Order Differential Transformation Method
Creators: name: Huang, Kaiyang
name: Liu, Yang
name: Sun, Kai
name: Qiu, Feng
Publisher: name: arXiv
Year: 2025
Subjects: subject: Systems and Control (eess.SY)
subject: Numerical Analysis (math.NA)
subject: Dynamical Systems (math.DS)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Mathematics

description: Dynamic simulation plays a crucial role in power system transient stability analysis, but traditional numerical integration-based methods are time-consuming due to the small time step sizes. Other semi-analytical solution methods, such as the Differential Transformation method, often struggle to select proper orders and steps, leading to slow performance and numerical instability. To address these challenges, this paper proposes a novel adaptive dynamic simulation approach for power system transient
 stability analysis. The approach adds feedback control and optimization to selecting the step and order, utilizing the Differential Transformation method and a proportional-integral control strategy to control truncation errors. Order selection is formulated as an optimization problem resulting in a variable-step-optimal-order method that achieves significantly larger time step sizes without violating numerical stability. It is applied to three systems: the IEEE 9-bus, 3-generator system, IEEE 39-bus, 10-generator system, and a Polish 2383-bus, 327-generator system, promising computational efficiency and numerical robustness for large-scale power system is demonstrated in comprehensive case studies.
AI Rivalry as a Craft: How Resisting and Embracing Generative AI Reshape Writing Professions
Creators: name: Varanasi, Rama Adithya
name: Wiesenfeld, Batia Mishan
name: Nov, Oded
Publisher: name: arXiv
Year: 2025
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Generative AI (GAI) technologies are disrupting professional writing, challenging traditional practices. Recent studies explore GAI adoption experiences of creative practitioners, but we know little about how these experiences evolve into established practices and how GAI resistance alters these practices. To address this gap, we conducted 25 semi-structured interviews with writing professionals who adopted and/or resisted GAI. Using the theoretical lens of Job Crafting, we identify four strategies professionals employ to reshape their roles. Writing professionals employed GAI resisting strategies to maximize human potential, reinforce professional identity, carve out a professional niche, and preserve credibility within their networks. In contrast, GAI-enabled strategies allowed writers who embraced GAI to enhance desirable workflows, minimize mundane tasks, and engage in new AI-managerial labor. These strategies amplified their collaborations with GAI while reducing their reliance on other people. We conclude by discussing implications of GAI practices on writers' identity and practices as well as crafting theory.
title: Food Insecurity and Micronutrient Deficiencies in the Pediatric Population: A State-of-the-Art Review
Creators: name: Lillard, Regan
name: Trumble, Drea
Publisher: name: Maryland Shared Open Access Repository
Year: 2024
Subjects: subject: food insecurity
subject: food security
subject: nutrients
subject: micronutrients
subject: nutrient deficiencies
subject: iron
subject: iron deficiency
subject: Magnesium
subject: Vitamin D
subject: Vitamin A
subject: calcium
subject: child health

description: Food insecurity is a very prevalent problem in the United States that effects all ages, including children. Lack of stable access to food may result in reduced intake of micronutrients, which can affect a child's nutrition and overall health and outcomes. The goal of this state-of-the-art review is to investigate what, if any, relationship exists between food insecurity and micronutrient deficiencies in children in the United States. This review yielded few studies on this particular topic. The literature available indicated a potential relationship between food insecurity and deficiencies in certain micronutrients, including iron, magnesium, vitamin A, vitamin D, and calcium. However, since there was limited literature available, more evidence is needed to establish the significance of this relationship and determine how the health of food-insecure children is being impacted.
Calibration Models for Real-World Deployment of Reinforcement Learning Agents
Creators: Coblin, Jordan Frederick
Publisher: name: University of Alberta Library
Year: 2024

The sensitivity of reinforcement learning algorithm performance to hyperparameter choices poses a significant hurdle to the deployment of these algorithms in the real-world, where sampling can be limited by speed, safety, or other system constraints. To mitigate this, one approach is to learn a calibration model from offline data logs, and use this model to simulate trajectories for the purpose of hyperparameter tuning. While there has been preliminary success applying calibration models to simple simulated problems, more work is needed to understand the desirable properties of such models and to test their feasibility in a real-world setting.

In this work, we take the first steps toward characterizing desirable properties of calibration models and provide the first application of a calibration model towards a real-world industrial prediction task. We investigate several measures that can be used to understand model quality and evaluate calibration model implementations according to these measures. The calibration models are then tested on a prediction task for sensors in a water treatment plant (WTP) located in Alberta, Canada. We find that various types of calibration models can be used to simulate simple environments, while generalizing models tend to collapse due to compounding prediction error in the more complex real-world setting. We show how a non-parametric k-nearest neighbors calibration model with a Laplacian distance metric is able to produce realistic rollouts over long-horizons in the WTP setting, and can be used successfully for hyperparameter tuning. Finally, we aim to bridge the gap towards real-world deployment and demonstrate how this model can be scaled to a year's worth of data.
Additional file 1 of Protocatechuic acid and quercetin attenuate ETEC-caused IPEC-1 cell inflammation and injury associated with inhibition of necroptosis and pyroptosis signaling pathways
Creators: name: Xiao, Kan
name: Zhou, Mohan
name: Lv, Qingqing
name: He, Pengwei
name: Qin, Xu
name: Wang, Dan
name: Zhao, Jiangchao
name: Liu, Yulan
Publisher: name: figshare
Year: 2024
Subjects: subject: Biophysics
subject: Biochemistry
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1. Primers used for real-time PCR analyses.
title: Capturing Stalinism: Photography, Reality, Manipulation, and Control in Stalin's USSR
Creators: name: Finnigan, Reese
Publisher: name: Maryland Shared Open Access Repository
Year: 2025
Subjects: subject: Stalinism
subject: Photography
subject: Manipulation
subject: reality

description: During Stalin’s rule, the Soviet state, in pursuit of its own survival, sought total control over the lives of its citizens. Many of the methods of pursuing this control have been well explored, particularly the violent repression of any real or perceived dissent. More insidious, however, was the state’s attempts at control through the rewriting of reality. Under Stalinism, thousands of photographs were manipulated, defaced, or partially destroyed, both by the state, and by civilians themselves. Doing so was an act of survival for both parties, but it also contributed to a reality crisis within the USSR. Photographic collections in archives today contain a number of images of denounced individuals who have been painstakingly, fearfully removed from portraits. On their own, these images reveal a society that was in constant paranoia about the presence of certain individuals in photographs. When examined as a pattern, these manipulated photographs suggest that the existence of Stalin’s regime hinged on a contorted relationship to reality itself. This thesis argues that the practice of manipulating and defacing photos was part of a cycle of performance between the state and the people. Through this cycle, multiple, contradictory, simultaneous realities were created, and upheld, by both sides. Understanding this contorted reality is key to understanding what existence was like during Stalinism.
Analysis and Mitigation of Cascading Failures Using a Stochastic Interaction Graph with Eigen-analysis
Creators: name: Guo, Zhenping
name: Su, Xiaowen
name: Sun, Kai
name: Park, Byungkwon
name: Simunovic, Srdjan
Publisher: name: arXiv
Year: 2025
Subjects: subject: Systems and Control (eess.SY)
subject: Discrete Mathematics (cs.DM)
subject: Dynamical Systems (math.DS)
subject: Probability (math.PR)
subject: Spectral Theory (math.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: In studies on complex network systems using graph theory, eigen-analysis is typically performed on an undirected graph model of the network. However, when analyzing cascading failures in a power system, the interactions among failures suggest the need for a directed graph beyond the topology of the power system to model directions of failure propagation. To accurately quantify failure interactions for effective mitigation strategies, this paper proposes a stochastic interaction graph model and associated eigen-analysis. Different types of modes on failure propagations are defined and characterized by the eigenvalues of a stochastic interaction matrix, whose absolute values are unity, zero, or in between. Finding and interpreting these modes helps identify the probable patterns of failure propagation, either local or widespread, and the participating components based on eigenvectors. Then, by lowering the failure probabilities of critical components highly participating in a mode of widespread failures, cascading can be mitigated. The validity of the proposed stochastic interaction graph model, eigen-analysis and the resulting mitigation strategies is demonstrated using simulated cascading failure data on an NPCC 140-bus system.
Using specimen citations to show the impact of natural history collections: metrics, machine learning, and manual annotation
Creators: name: Thomer, Andrea
name: Lafia, Sara
Publisher: name: Zenodo
Year: 2022

description: Abstract of conference oral presentation on Using specimen citations to show the impact of natural history collections: metrics, machine learning, and manual annotation by Assistant Professor Andrea Thomer of University of Michigan Ann Arbor United States for SPNHC2022 Conference, Edinburgh. June 5-10th 2022.
Supplementary document for Simulated annealing algorithm with neural network for designing topological photonic crystals - 6592961.pdf
Creators: name: liao, yaodong
name: yu, tianen
name: wang, yueke
name: dong, boxuan
name: Yang, Guofeng
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplemental Document
Scaling Up 4D Printing: Direct Pellet Extrusion of Shape Memory Polymer Composites
Creators: Paez Estrella, Marco Vinicio
Publisher: name: University of Alberta Library
Year: 2024

Shape Memory Polymers (SMPs) exhibit responsiveness to stimuli, characterized by the Shape Memory Effect (SME) which enables them to temporarily store a shape and return to their permanent/original form upon the application of a stimulus. However, SMPs face challenges in being applied to large-scale applications due to their limited stress recovery response. A promising solution to this problem are Shape Memory Polymer Composites (SMPCs).

This study aims to explore the feasibility of producing SMPCs with Additive Manufacturing (AM), which is also known as 4D printing, for large-scale manufacturing. In the future, the aim is eventually to be able to 4D print drone wings that can change their shape to maneuver in the air. Therefore, the goal is to leverage the unique properties of SMPCs, enhancing their applicability in the engineering field. In this work, a large-scale Extrusion Based 3D printing platform is modified and adapted with a pellet extruder. A polymer blend made of SMP polyurethane based MM4520 and PLA with 15% weight content of carbon fibers (CF) were used to create SMPC samples. Compositions of 0, 10, and 20 weight % CF15 PLA on SMP were manufactured and studied for shape recovery, shape recovery fixity ratio and shape recovery flexural stress. Results demonstrated that higher contents of CF15 PLA led to higher shape recovery flexural stresses that increased more than 400% compared to the raw printed material. However, a counter effect occurred to the shape recovery ratio and shape fixity. The shape recovery ratio decreases a maximum of 7% in comparison to the raw material. The shape fixity decreased from 22% from the raw material. This study is the first step to achieve scalability of 4D printing.
title: Evaluating the Alignment of the Custodian of the Two Holy Mosques Scholarship Program (CTHMSP) with Vision 2030 Goals for Human Capital Development in Saudi Arabia
Creators: name: Nasr, Ryma
Publisher: name: Maryland Shared Open Access Repository
Year: 2025
Subjects: subject: Custodian of the Two Holy Mosques Scholarship Program CTHMSP Vision 2030 Saudi Arabia Human capital development Gender inclusion Women's empowerment Saudi labor market Workforce participation Higher education policy Saudi scholarship programs STEM education in Saudi Arabia Public sector reform Economic diversification Program evaluation Educational outcomes Government scholarship programs Employment transition Youth development Education and social mobility Islamic work ethic National development goals Female employment in Saudi Arabia Strategic planning in education Global competitiveness
subject: Educational reform Policy implementation Public administration in Saudi Arabia Sustainable development goals (SDGs) Saudi Vision initiatives Postgraduate education Scholarship impact assessment Graduate employment outcomes Talent development Educational equity Strategic education programs Middle East education systems Women's participation in STEM Government-to-labor market alignment Social transformation through education

description: This dissertation explores the alignment of the Custodian of the Two Holy Mosques Scholarship Program (CTHMSP) with Saudi Arabia’s Vision 2030 goals, focusing on human capital development, program sustainability, and social impact. The research examines how CTHMSP fosters skills in high-demand sectors like STEM, tourism, and renewable energy, while addressing challenges such as skill mismatches, gender equity, and labor market integration. Employing human capital development theory and a comprehensive conceptual framework, the study utilizes qualitative methodologies, including document analysis, to analyze CTHMSP’s contributions to workforce development, financial sustainability, and gender inclusion. Key findings reveal that while CTHMSP has made significant strides in diversifying Saudi Arabia’s economy and empowering women, it faces challenges such as funding volatility, limited rural outreach, and gaps in industry-academic collaboration. The research offers actionable recommendations for enhancing program adaptability, strengthening public-private partnerships, and aligning educational outcomes with labor market demands. This study provides critical insights into the role of large-scale education initiatives in fostering economic resilience, gender equity, and sustainable development, contributing to global discourse on education policy and workforce transformation.
From Non-Detection to Detection: Atacama Compact Array Mosaic Observations of Faint Extended [C I] Emission in NGC 7679
Creators: name: Michiyama, Tomonari
name: Saito, Toshiki
name: Nakanishi, Kouichiro
name: Iono, Daisuke
name: Tadaki, Ken-ichi
name: Molina, Juan
name: Lee, Bumhyun
name: Zhuang, Ming-Yang
name: Ueda, Junko
name: Izumi, Takuma
name: Ho, Luis C.
Publisher: name: arXiv
Year: 2025
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We report the detection of [C I] $^3P_1$--$^3P_0$ emission in the nearby galaxy NGC 7679 using the Atacama Compact Array (ACA) of the Atacama Large Millimeter/submillimeter Array (ALMA). In Michiyama et al. (2021), [C I] $^3P_1$--$^3P_0$ emission in NGC 7679 was reported as undetected based on ACA observations conducted in 2019 (ALMA Cycle 6). These observations had ~1 minute on-source time and used a single pointing with a field of view (FoV) of ~20 arcsec. In 2023 (Cycle 9), we carried out mosaic observations using seven pointings with an FoV of ~27 arcsec and 4-5 minutes on-source per pointing. The additional data have significantly improved the line sensitivity, uv-sampling, and noise uniformity across the galaxy disk. Our Cycle 9 observations confirm the presence of extended [C I] $^3P_1$--$^3P_0$ emission in NGC 7679, which was completely missed in the Cycle 6 observations due to insufficient sensitivity and uv-sampling. This highlights the basic technical challenges of estimating the total flux by interferometric observations with sparse uv-sampling.
description: Published in Research Notes of the AAS
Grey_literature_sources_searched_included – Supplemental material for Interventions Aimed at Reducing Use of Low-Value Health Services: A Systematic Review
Creators: name: Colla, Carrie H.
name: Mainor, Alexander J.
name: Hargreaves, Courtney
name: Sequist, Thomas
name: Morden, Nancy
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology

description: Supplemental material, Grey_literature_sources_searched_included for Interventions Aimed at Reducing Use of Low-Value Health Services: A Systematic Review by Carrie H. Colla, Alexander J. Mainor, Courtney Hargreaves, Thomas Sequist and Nancy Morden in Medical Care Research and Review
Text-to-SQL Systems in the Era of Advanced Large Language Models
Creators: Pourreza, Mohammadreza
Publisher: name: University of Alberta Library
Year: 2024

Text-to-SQL conversion, the process of transforming natural language queries into executable SQL commands, stands at the forefront of bridging human linguistic capabilities with the structured logic of databases. This dissertation embarks on a journey to elevate text-to-SQL systems to new heights, aiming to narrow the performance gap between human expertise and automated systems within the landscape of large language models (LLMs). Our endeavor unfolds in three pivotal stages. Initially, we harness the power of cutting-edge proprietary LLMs such as GPT-4, enhancing their prowess through an in-context learning methodology tailored explicitly for text-to-SQL tasks. Our proposed method is the state-of-the-art Text-to-SQL method which improved upon the previous works by \%5 execution accuracy. Recognizing the critical importance of privacy and the economic considerations tied to proprietary LLMs, we then introduce a decomposed, two-stage supervised fine-tuning approach. This method not only optimizes the efficiency of smaller LLMs but also achieves performance metrics on par with their larger counterparts. Using our proposed two-step method, a small LLMs with 7B parameter can achieve comparable results to GPT-4. Finally, our thorough examination and critique of existing text-to-SQL benchmarks, using human annotation and Standard SQL validation, illuminates the path for future research, highlighting the necessity for more comprehensive and accurate evaluation frameworks. Our analysis of the current Text-to-SQL benchmarks reveals critical limitations, which can hinder further advancement in this domain. By proposing methodologies in the realm of LLMs and shedding light on areas ripe for further advancement, this thesis aspires to inch closer to the elusive goal of achieving human-level proficiency in Text-to-SQL translation.
Supplementary document for Noncollinear, inelastic four-wave mixing in the extreme ultraviolet - 6593183.pdf
Creators: name: Mincigrucci, Riccardo
name: Cannizzo, Andrea
name: capotondi, flavio
name: Cinquegrana, Paolo
name: Cucini, Riccardo
name: Dallari, Francesco
name: Danailov, M
name: de Ninno, Giovanni
name: Di Mitri, Simone
name: Feurer, Thomas
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplementary document
Supplementary_Table_3 – Supplemental material for Predictors and Outcomes of Burnout Among Primary Care Providers in the United States: A Systematic Review
Creators: name: Cilgy M. Abraham
name: Zheng, Katherine
name: Poghosyan, Lusine
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology

description: Supplemental material, Supplementary_Table_3 for Predictors and Outcomes of Burnout Among Primary Care Providers in the United States: A Systematic Review by Cilgy M. Abraham, Katherine Zheng and Lusine Poghosyan in Medical Care Research and Review
Supplementary document for Noncollinear, inelastic four-wave mixing in the extreme ultraviolet - 6593183.pdf
Creators: name: Mincigrucci, Riccardo
name: Cannizzo, Andrea
name: capotondi, flavio
name: Cinquegrana, Paolo
name: Cucini, Riccardo
name: Dallari, Francesco
name: Danailov, M
name: de Ninno, Giovanni
name: Di Mitri, Simone
name: Feurer, Thomas
Publisher: name: Optica Publishing Group
Year: 2024
Subjects: Uncategorized

description: Supplementary document
TPS890435 Supplemental Material - Supplemental material for Metaphors and cultural narratives on adaptive responses to severe adversity: A field study among the Indigenous Pitaguary community in Brazil
Creators: name: Iara Meili
name: Heim, Eva
name: Pelosi, Ana C
name: Maercker, Andreas
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: FOS: Clinical medicine

description: Supplemental material, TPS890435 Supplemental Material for Metaphors and cultural narratives on adaptive responses to severe adversity: A field study among the Indigenous Pitaguary community in Brazil by Iara Meili, Eva Heim, Ana C Pelosi and Andreas Maercker in Transcultural Psychiatry
Reviewer_2_v.1 – Supplemental material for Duration of treatment with inhaled corticosteroids in nonasthmatic eosinophilic bronchitis: a randomized open label trial
Creators: name: Zhan, Wenzhi
name: Tang, Jiaman
name: Chen, Xiaomei
name: Yi, Fang
name: Han, Lina
name: Liu, Baojuan
name: Luo, Wei
name: Chen, Qiaoli
name: Lai, Kefang
Publisher: name: SAGE Journals
Year: 2019
Subjects: Aged Health Care
Pharmacology and Pharmaceutical Sciences not elsewhere classified
Respiratory Diseases

description: Supplemental material, Reviewer_2_v.1 for Duration of treatment with inhaled corticosteroids in nonasthmatic eosinophilic bronchitis: a randomized open label trial by Wenzhi Zhan, Jiaman Tang, Xiaomei Chen, Fang Yi, Lina Han, Baojuan Liu, Wei Luo, Qiaoli Chen and Kefang Lai in Therapeutic Advances in Respiratory Disease
Development of methodologies to identify polysialylated proteins and to visualize receptors for polysialic acid in biological samples
Creators: Idrees, Muhammad
Publisher: name: University of Alberta Library
Year: 2024

Polysialic acid (polySia) is a homo polymer made of Sialic acid monomers linked to each other through ⍺-2-8 linkages in humans. Its expression on cellular surfaces is limited to nervous,

immune, and reproductive systems in a healthy adult human. It is overexpressed in certain tumors and results in higher invasion and metastasis. It increases cancer progression and severity

and is associated with higher mortality and decreased survival rates. Only a handful of polysialylated proteins have been discovered so far. Willis’s lab has confirmed the presence of

more such proteins that need to be identified. Research has also shown that polySia is an immunomodulatory ligand, but additional studies are required to identify its receptor(s). To

explore the polySia role further, the development of reliable and sensitive methods is essential as limited methodologies are available to work with polySia.

We propose two tactics to enhance polySia research. Firstly, we have developed a biotin-modified sialic acid that can be incorporated onto the polySia chain of polysialylated protein and

subsequently extracted using streptavidin beads. Secondly, we propose employing a polysialylated fluorescent protein as a ligand to detect the presence of polySia receptors on

immune cells.

The modified sialic acid with an attached biotin though disulfide linkage (CMP-Sia-S-S-Biotin) has been synthesized and successfully added to polySia chains on small molecules and

cell surface polySia. We could also effectively extract biotin-polySia-protein with streptavidin beads and reduce the disulfide bond. To confirm the presence of polySia receptor(s), a fluorescent ligand was designed and incubated with Jurkat T cells. Later, the ligand was modified to enhance its avidity. These methods lay the groundwork for future research and development.
supporting_information_1 – Supplemental material for Supramolecular hydrogel containing multi-generation poly(L-lysine) dendrons for sustained co-delivery of docetaxel and matrix metallopeptidase-9 short hairpin RNA plasmid
Creators: name: Yang, Yumeng
name: Liu, Shixin
name: Cai, Xiang
name: Ma, Dong
name: Xu, Jun
Publisher: name: SAGE Journals
Year: 2019
Subjects: Materials Engineering not elsewhere classified

description: Supplemental material, supporting_information_1 for Supramolecular hydrogel containing multi-generation poly(L-lysine) dendrons for sustained co-delivery of docetaxel and matrix metallopeptidase-9 short hairpin RNA plasmid by Yumeng Yang, Shixin Liu, Xiang Cai, Dong Ma and Jun Xu in Journal of Bioactive and Compatible Polymers
Supplementary Material 1 - Supplemental material for ADHD Symptoms, Entrepreneurial Orientation (EO), and Firm Performance
Creators: name: Yu, Wei
name: Wiklund, Johan
name: Prez-Luo, Ana
Publisher: name: SAGE Journals
Year: 2019
Subjects: Organisation and Management Theory

description: Supplemental material, Supplementary Material 1, for ADHD Symptoms, Entrepreneurial Orientation (EO), and Firm Performance by Wei Yu, Johan Wiklund and Ana Prez-Luo in Entrepreneurship Theory and Practice
SUSTAINABLE AQUACULTURE PRACTICES: ENHANCING ECOCULTURE FOR A GREENER FUTURE
Creators: name: Oteniyazova, Gulzada
Publisher: name: Zenodo
Year: 2024

description: Ecoculture, the practice of cultivating organisms in harmony with the environment, is gaining momentum as a sustainable approach to food production. In this article, we explore sustainable aquaculture practices as a pivotal example of ecoculture. We discuss the principles, benefits, challenges, and future prospects of integrating ecocultural practices into aquaculture systems.
Supplementary document for Comprehensive study of Ag/Au-TiO2 composite thin films for tunable LSPR absorption - 6593394.pdf
Creators: name: Mukhametkarimov, Yerzhan
name: YERGALIYEVA, Saule
name: Nemkayeva, Renata
name: Gusseinov, Nazim
name: Prikhodko, Oleg
name: Arbuz, Aleksandr
name: Orynbay, Bakytzhan
name: Sagidolda, Yerulan
name: Aitzhanov, Madi
name: Ismailova, Guzal
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: supplement document
Catechol-Escherichia coli UM146 interaction revealed through multi-omics
Creators: Islam, Md Shiful
Publisher: name: University of Alberta Library
Year: 2024

Microorganisms are intricately linked with life on earth. The substantial enhancement of environment and human health is influenced largely due to their biotransformation potency. The comprehensive identification of bacterial byproducts can be accomplished by employing a systematic approach involving untargeted metabolomics techniques, with the integration of liquid chromatography high-resolution mass spectrometry (LC-HRMS), nuclear magnetic resonance (NMR), and gas chromatography-mass spectrometry (GC-MS). Untargeted metabolomics is an analytical approach to characterize the global metabolites without any prior knowledge. This study attempted to combine untargeted metabolomics and RNA sequencing (RNA-Seq) to determine unknown bacterial byproducts and genes to highlight the metabolic pathway in a particular condition.

Studying the Escherichia coli UM146 strain grown on catechol-containing media in aerobic and anaerobic conditions, we identified novel genetic and metabolic changes through transcriptomic and untargeted metabolomics analysis.  As highlighted in Chapter 2, many inconsistencies were noted between the NMR and MS metabolomics results, most specifically, false positive results were observed in the MS analyses.  We concluded that these results were highly dependent on the available software being used and the analytical workflow employed.

Benchmarking experiments were performed to evaluate false positive and false negative rates in the identification of a set of 28 compounds in a synthetic mixture. XCMS performed better than Metaboanalyst and MZmine2 in determining minimum features with coverage of more compounds. Sensitivity and specificity were tested based on three distinct approaches, including a) all features, b) putative ID, and c) putative ID & true positive (PID28). In negative mode, all three software packages provided similar sensitivity (70-75%). Variability was observed for PID28 in positive mode, XCMS (75%) has outperformed both Metaboanalyst (58.33%) and MZmine2 (66.67%). The specificity of Metaboanalyst in the criteria of all features is 44.44%, which is quite inferior compared to XCMS (96.09%) and MZmine2 (100%). As inconsistent results were observed with the synthetic mixture, pure concentrated lysine from Sigma-Aldrich (purity ≥98%) was used to determine the contaminants through resin-based column chromatography and 1H-NMR. Among the three software packages in LC-HRMS analysis, entirely Metaboanalyst was able to determine the unknown contaminant (2-piperdinone) in the lysine solution.

Bacterial by-product identification using LC-HRMS analysis is challenging due to false positive results. Our analysis demonstrated that a combination of software packages is required to screen the actual features and reduce the false positive results in MS analysis.
Supplementary_figure – Supplemental material for Older Drivers and Their Future Mobility: Views and Involvement of Their Adult Children
Creators: name: Connor, Jennie
name: Brookland, Rebecca
name: Samaranayaka, Ari
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 110306 Endocrinology
subject: FOS: Clinical medicine
subject: 110308 Geriatrics and Gerontology
subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences

description: Supplemental material, Supplementary_figure for Older Drivers and Their Future Mobility: Views and Involvement of Their Adult Children by Jennie Connor, Rebecca Brookland and Ari Samaranayaka in Journal of Applied Gerontology
PanoGen++: Domain-Adapted Text-Guided Panoramic Environment Generation for Vision-and-Language Navigation
Creators: name: Wang, Sen
name: Zhou, Dongliang
name: Xie, Liang
name: Xu, Chao
name: Yan, Ye
name: Yin, Erwei
Publisher: name: arXiv
Year: 2025
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Multimedia (cs.MM)
subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Vision-and-language navigation (VLN) tasks require agents to navigate three-dimensional environments guided by natural language instructions, offering substantial potential for diverse applications. However, the scarcity of training data impedes progress in this field. This paper introduces PanoGen++, a novel framework that addresses this limitation by generating varied and pertinent panoramic environments for VLN tasks. PanoGen++ incorporates pre-trained diffusion models with domain-specific fine-tuning, employing parameter-efficient techniques such as low-rank adaptation to minimize computational costs. We investigate two settings for environment generation: masked image inpainting and recursive image outpainting. The former maximizes novel environment creation by inpainting masked regions based on textual descriptions, while the latter facilitates agents' learning of spatial relationships within panoramas. Empirical evaluations on room-to-room (R2R), room-for-room (R4R), and cooperative vision-and-dialog navigation (CVDN) datasets reveal significant performance enhancements: a 2.44% increase in success rate on the R2R test leaderboard, a 0.63% improvement on the R4R validation unseen set, and a 0.75-meter enhancement in goal progress on the CVDN validation unseen set. PanoGen++ augments the diversity and relevance of training environments, resulting in improved generalization and efficacy in VLN tasks.
description: This paper was accepted by Neural Networks
DAVLAT BYUDJETI SOLIQLI DAROMADLARI SAMARALI IJROSINI TAMINLASH YOʻLLARI
Creators: name: Abduraimova, Fazilat
Publisher: name: Zenodo
Year: 2025

description: Davlat byudjeti har qanday davlatning ijtimoiy-iqtisodiy barqarorligini ta’minlaydigan asosiy moliyaviy hujjat hisoblanadi. Undagi daromadlarning asosiy qismini soliqlar tashkil qiladi. Soliqli daromadlarning to‘liq va o‘z vaqtida ijro etilishi esa davlatning ijtimoiy dasturlarni moliyalashtirish, iqtisodiy o‘sishni rag‘batlantirish va umumiy fiskal barqarorlikni saqlab qolishdagi imkoniyatlarini belgilaydi. O‘zbekiston Respublikasi Moliya vazirligining 2023-yil yakuni bo‘yicha ma’lumotlariga ko‘ra, davlat byudjetining 80% dan ortig‘i soliqli tushumlar hisobidan shakllangan. Shu bois, ushbu daromadlar ijrosining samaradorligini oshirish, mavjud muammolarni tahlil qilish va yechimlar ishlab chiqish bugungi kunning dolzarb masalalaridan biridir.
Additional file 1 of Detection and characterization of difenoconazole resistance in Stagonosporopsis citrulli from watermelon and muskmelon in Zhejiang Province of China
Creators: name: Kong, Zhangliang
name: Zhang, Yu
name: Zhuang, Chaojie
name: Mao, Chenxin
name: Zhang, Chuanqing
Publisher: name: figshare
Year: 2024
Subjects: subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Hematology
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology

description: Additional file 1: Figure S1. Representative identification of 112 single-spored isolates of Stagonosporopsis species causing watermelon and melon gummy stem blight.
Development of a Chemical Isotope Labeling-based Liquid Chromatography Mass Spectrometry Method for Rapid and Comprehensive Profiling of Complex Metabolomes
Creators: Quan, Sicheng
Publisher: name: University of Alberta Library
Year: 2024

Liquid chromatography-mass spectrometry (LC-MS) has become a cornerstone in metabolomics, providing a robust method for analyzing complex biological samples. Despite its extensive capabilities, challenges such as ion suppression can significantly impact the sensitivity and dynamic range of this technique. In response, we have developed an innovative LC-MS approach that utilizes dansyl-based derivatization to systematically organize metabolomes by functional groups. This strategy not only allows for targeted analysis of distinct chemical categories but also facilitates the integration of different sub-metabolomes into a comprehensive profile. However, the separation of the labeling and analysis phases can limit efficiency, highlighting the need for refinement to achieve high-throughput, detailed profiling without compromising detectability. In our study, chapter 2 introduces a two-channel mixing strategy compared to traditional single-channel analysis, identifying drawbacks such as ion suppression and reduced feature detectability. A four-phase labeling strategy followed by individual channel analysis proved more effective for detailed metabolomic examination, though less rapid. Chapter 3 discusses the integration of two-dimensional LC-MS (2DLC-MS) with fractionation via HILIC chemistry, significantly reducing sample complexity and enhancing detectability. This approach, complemented by chemical isotope labeling (CIL), adds depth to LC separations and enriches the analysis of biological specimens. Chapter 4 focuses on increasing the throughput of metabolomic studies through technical and methodological improvements to the 2DLC-MS system. It emphasizes the importance of workflow optimization in enhancing LC-MS performance and setting new standards for rapid and effective analysis of complex samples. This study demonstrates the adaptive nature of LC-MS technologies in addressing the complexities of metabolomics, emphasizing the necessity for ongoing methodological innovation. Our advancements not only enable high-throughput metabolomic studies but also significantly contribute to our understanding of biological systems, underscoring the evolving landscape of analytical techniques in modern biological research. This comprehensive study illustrates the dynamic adaptability of LC-MS technologies amid the complexities of metabolomics, underlining the importance of continuous innovation in methodologies.
Coming in from the cold: spatiotemporal regulation of gene expression by the cyanobacterial RNA helicase redox (CrhR) during abiotic stress
Creators: Whitman, Brendan T.
Publisher: name: University of Alberta Library
Year: 2024

Cyanobacteria, or blue-green algae, are living fossils that arose ~3 billion years ago in the dramatic context of the early Earth and continue to thrive today in diverse habitats around the world. They are photoautotrophic, requiring sunlight, water, and carbon dioxide to power oxygenic photosynthesis. Consequently, cyanobacteria must sense and respond to fluctuations in their environment to maintain photosynthesis and therefore maximum fitness. This involves the ability to not only induce condition specific pathways but also repress these pathways upon alleviation of stress. In eukaryotes, these stress-responsive mechanisms frequently involve sequestration of the associated pathways in membraneless organelles. In this thesis I adapted new technologies to analyze the spatiotemporal control of gene expression imparted by regulation of CrhR RNA helicase activity in the model cyanobacterium, Synechocystis sp. PCC 6803. CrhR expression is tightly regulated by stresses that alter the redox poise of the photosynthetic electron transport chain, increasing in abundance by >10-fold in response to a temperature downshift from 30 to 20°C, induction that is repressed by temperature upshift to 30°C. Here I show that conditional proteolysis controls repression of CrhR and CrhR-like RNA helicases broadly conserved in cyanobacteria. Structure-function analysis indicated that proteolytic degradation of CrhR involves a mechanism involving dimer to monomer interconversion. This structural change exposes a C-terminal amino acid motif, a degron, that is necessary for proteolysis and suppression of the system. Optimization of fluorescent microscopy demonstrated that temperature shift also drives dynamic spatiotemporal fluctuations in CrhR coalescence and cellular localization in vivo. At 20°C CrhR aggregates into a single crescent shaped membraneless organelle that localizes between the photosynthetic thylakoid and cytoplasmic membranes. These structures are highly dynamic, dispersing rapidly in response to temperature upshift. I combined these observations with development of click chemistry and proximity labeling to investigate the regulation CrhR imparts on cellular nascent translation rate and the proteins with which CrhR interacts, respectively. These results indicated that a fundamental function performed by CrhR is the inhibition of translation, primarily of transcripts associated with homeostasis of the photosynthetic and translational apparatus. CrhR also was shown to interact with known mediators of bacterial gene expression including the ribosome and RNase J, positioning CrhR central to the genetic response to abiotic stress. Together these observations provide unique insights into unexpected mechanisms by which cyanobacteria respond to environmental change, concepts applicable to enhancing the biotechnological potential of this phylum.
Supplementary document for Real-time in vivo ROS Monitoring with Luminescent Nanoparticles Reveals Skin Inflammation Dynamics - 6593473.pdf
Creators: name: Bouzigues, Cedric
name: Abdesselem, Mouna
name: Petri, Nicolas
name: Kuhner, Robin
name: Mousseau, Fanny
name: Rouffiac, Valerie
name: Gacoin, Thierry
name: Laplace-Builhé, Corinne
name: Alexandrou, Antigoni
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Biotechnology

description: Supplementary Material
Search_strategy_supplementary_document – Supplemental material for Understanding what works, why and in what circumstances in hospice at home services for end-of-life care: Applying a realist logic of analysis to a systematically searched literature review
Creators: name: Ferhana Hashem
name: Brigden, Charlotte
name: Wilson, Patricia
name: Butler, Claire
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 110308 Geriatrics and Gerontology
subject: FOS: Clinical medicine
subject: 111702 Aged Health Care
subject: FOS: Health sciences

description: Supplemental material, Search_strategy_supplementary_document for Understanding what works, why and in what circumstances in hospice at home services for end-of-life care: Applying a realist logic of analysis to a systematically searched literature review by Ferhana Hashem, Charlotte Brigden, Patricia Wilson and Claire Butler in Palliative Medicine