cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Infer metabolic momentum from moment differences of mass-weighted intensity distributions
Creators: name: Tuobang Li
Publisher: name: Zenodo
Year: 2024

description: Metabolic pathways are fundamental maps in biochemistry that detail how molecules are transformed through various reactions. Metabolomics refers to the large-scale study of small molecules. High-throughput, untargeted, mass spectrometry-based metabolomics experiments typically depend on libraries for structural annotation, which is necessary for pathway analysis. However, only a small fraction of spectra can be matched to known structures in these libraries and only a portion of annotated metabolites can be associated with specific pathways, considering that numerous pathways are yet to be discovered. The complexity of metabolic pathways, where a single compound can play a part in multiple pathways, poses an additional challenge. This study introduces a different concept: mass spectra distribution, which is the empirical distribution of the intensities times their associated m/z values. Analysis of COVID-19 and mouse brain datasets shows that by estimating the differences of the point estimations of these distributions, it becomes possible to infer the metabolic directions and magnitudes without requiring knowledge of the exact chemical structures of these compounds and their related pathways. The overall metabolic momentum map, named as momentome, has the potential to bypass the current bottleneck and provide fresh insights into metabolomics studies. This brief report thus provides a mathematical framing for a classic biological concept.
description: These papers are prepared for PNAS. The related codes and drafts were shared and have been publically posted on my Github one year ago. I am introducing this work in YouTube and Quora, if you are interested, please visit: Institute of Biomathematics-YouTube or Tuobang Li Quora or Infer metabolic directions or Researchgate REDS:Mean or Researchgate REDS:Central Moments or REDS: Invariant Moments or REDS: Non-asymptotic. For more information, please visit Tuobang Li-GitHub. Also, feel free to share it or contact tl@biomathematics.org, for more materials available by request. 

This work was finished two years ago, and later I shared to some professors. I registered the domain, directome and biomathematics in January, 2022.
Infer metabolic directions from moment differences of mass-weighted intensity distributions
Creators: name: Tuobang Li
Publisher: name: Zenodo
Year: 2024

description: Metabolic pathways are fundamental maps in biochemistry that detail how molecules are transformed through various reactions. Metabolomics refers to the large-scale study of small molecules. High-throughput, untargeted, mass spectrometry-based metabolomics experiments typically depend on libraries for structural annotation, which is necessary for pathway analysis. However, only a small fraction of spectra can be matched to known structures in these libraries and only a portion of annotated metabolites can be associated with specific pathways, considering that numerous pathways are yet to be discovered. The complexity of metabolic pathways, where a single compound can play a part in multiple pathways, poses an additional challenge. This study introduces a different concept: mass spectra distribution, which is the empirical distribution of the intensities times their associated m/z values. Analysis of COVID-19 and mouse brain datasets shows that by estimating the differences of the point estimations of these distributions, it becomes possible to infer the metabolic directions and magnitudes without requiring knowledge of the exact chemical structures of these compounds and their related pathways. The overall metabolic momentum map, named as momentome, has the potential to bypass the current bottleneck and provide fresh insights into metabolomics studies. This brief report thus provides a mathematical framing for a classic biological concept.
description: These papers are prepared for PNAS. The related codes and drafts were shared and have been publically posted on my Github one year ago. I am introducing this work in YouTube and Quora, if you are interested, please visit: Institute of Biomathematics-YouTube or Tuobang Li Quora or Infer metabolic directions or Researchgate REDS:Mean or Researchgate REDS:Central Moments or REDS: Invariant Moments or REDS: Non-asymptotic. For more information, please visit Tuobang Li-GitHub. Also, feel free to share it or contact tl@biomathematics.org, for more materials available by request. 

This work was finished two years ago, and later I shared to some professors. I registered the domain, directome and biomathematics in January, 2022.
Chiral bis(amino alcohol) silver complex derived from (+)-camphor
Creators: name: González, Jaime
name: Reyes-Lezama, Marisol
name: Corona, David
name: Cuevas-Yañez, Erick
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Biotechnology
subject: Developmental Biology
subject: Mathematics
subject: FOS: Mathematics
subject: Biological Sciences
subject: Chemistry
subject: Molecular Biology
subject: Biochemistry

description: A chiral silver(I) complex was synthesized from the reaction of a chiral amino alcohol derived from (+)-camphor and silver nitrate, with the structure unambiguously disclosed by X-ray analysis and 2-D-NMR experiments. In this complex, the amino alcohol molecule is a monodentate ligand through the amino nitrogen, requiring two amino alcohol units which are coordinated to the silver and located orthogonally through the NH–Ag–NH axis.
Metabolic vectors from moments of mass spectra distributions
Creators: name: Tuobang Li
Publisher: name: Zenodo
Year: 2023

description: Metabolic pathways are fundamental maps in biochemistry that detail how molecules are transformed through various reactions. Metabolomics refers to the large-scale study of small molecules. High-throughput, untargeted, mass spectrometry-based metabolomics experiments typically depend on libraries for structural annotation, which is necessary for pathway analysis. However, only a sma fraction of spectra can be matched to know structures in these libraries and only a portion of annotated metabolites can be associated with specific pathways, considering that numerous pathways are yet to be discovered. The complexity of metabolic pathways, where a single compound can play a part in multiple pathways, poses an additional challenge. This study introduces a different concept: mass spectra distribution, which is the empirical distribution of the intensity times their assocated m/z values. Analysis of solarization, COVID-19, and mouse brain datasets shows that by estimating the differences of the point estimations of these.distributions, it becomes possible.to.infer the metabolic directions and magnitutes without requiring knowledge of the exact chemical structures of these compounds and their related pathways. The overall.metabolic map, named as vectome, has the potential to bypass current bottleneck and provide fresh insights into metabolomics studies. This brief report thus provides a mathematical framing for a classic biology concept.
description: This manuscript was prepared two years ago, it was delayed since the author has been focusing on the estimations of moments (also attached with a response to comments). All these papets are currently under review in PNAS. For more.information, please visit https//github.com/tuobangli. If you are interested, feel free to contact tl@biomathematics.org, for more materials available by request. Please do not use it without the author's approval before publishing.
"La condivisione dei dati nell’esperienza di SSD Pesca utilizzando il sistema Cigno Venezia, la Data Policy di Ritmare e il supporto dei software Open Source”
Creators: name: Pazienza, Gianfranco Eugenio
Publisher: name: figshare
Year: 2015
Subjects: Marine Biology

description: La produzione di mappe geo referenziate, a partire da informazioni geografiche nel Golfo di Manfredonia, sono alcuni degli argomenti trattati in questo lavoro svolto con l’Assegno di ricerca 2013. L’utilizzo parziale di alcuni dati del Progetto SSD Pesca e la collaborazione tra diversi WP: WP2 (Campagne oceanografiche) e il WP5 (studio delle correnti marine superficiali), ha permesso di testare l’iniziale accesso condiviso ai dati geografici utilizzati per lo svolgimento di determinate fasi di progetto. L’interazione delle attività è stata inizialmente favorita e supportata dal sistema Cigno (Ismar Venezia), per l’archivio e la condivisione di dati e prodotti. Esso, oltre alla visualizzazione rapida dei dati archiviati, consente un monitoraggio costante del lavoro svolto nelle varie fasi di progetto. Le possibili sinergie derivanti dalla condivisione e interazione dei dati dei singoli WP di progetto, e dei permessi associati che li sottendono, secondo le regole previste nel documento della Data Policy di Ritmare (altro argomento del lavoro), sono state focalizzate in collaborazione con altri Enti della Comunità scientifica italiana coinvolti nel Sottoprogetto (SP7): Infrastruttura Interoperabile del Progetto Ritmare, nel percorso di definizione della struttura di DP. Un lavoro teso alla diffusione della pratica di Open Data, finalizzato a valorizzare ulteriormente il lavoro svolto dai ricercatori, consentendo il confronto e lo sviluppo di altre idee progetto, rafforzando le collaborazioni nazionali e internazionali (Horizon 2020).
Diethyl Phthalate Removal From Aqueous Phase Using Poly(EGDMA-MATrp) Beads: Kinetic, Isothermal and Thermodynamic Studies
Creators: name: Özer, Elif Tümay
name: Osman, Bilgen
name: Kara, Ali
name: Demirbel, Emel
name: Beşirli, Necati
name: Şeref Güçer
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: 60506 Virology
subject: FOS: Biological sciences
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Biological Sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Ecology
subject: Chemistry
subject: Earth and Environmental Sciences
subject: Biochemistry
subject: Biophysics

description: In this study, Poly(ethylene glycol dimethacrylate-N-methacryloyl-L-tryptophan methyl ester) [poly(EGDMA-MATrp)] beads (average diameter = 106–300 μm) which were synthesized by copolymerizing of N-methacryloyl-L-tryptophan methyl ester (MATrp) with ethylene glycol dimethacrylate (EGDMA) were used for diethyl phthalate (DEP) adsorption. The various factors affecting the adsorption of DEP from aqueous solutions such as pH, initial concentration, contact time and temperature were analyzed. Adsorption behaviour of DEP on the poly (EGDMA-MATrp) beads was investigated by varying pH values of solution, contact time, initial concentration and temperature. An optimum adsorption capacity of 590.7 mg g−1 for DEP was obtained at 25°C. The present adsorption process obeyed pseudo-second-order kinetic model. All the isotherm data can be fitted with the Langmuir, Freundlich and Dubinin-Radushkevich isotherm models. Thermodynamic parameters ΔH = 7.745 kJ mol−1, ΔS = 81.92 J K−1 mol−1, and ΔG = -16.69 kJ mol−1 to -18.31 kJ mol−1 with the rise in temperature from 25°C to 45°C indicated the adsorption process was endothermic and spontaneous.Supplementary material
Complete genome sequence and SNPs of Raja pulchra (Rajiformes, Rajidae) mitochondria
Creators: name: Hwang, Jae Yeon
name: Gwi-Deuk Jin
name: Jongbin Park
name: Heebal Kim
name: Chang-Kyu Lee
name: Woori Kwak
name: Bo-Hye Nam
name: An, Cheul Min
name: Park, Jung Youn
name: Kyu-Hyun Park
name: Chul-Sung Huh
name: Kim, Eun Bae
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Molecular Biology
subject: Evolutionary Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: 69999 Biological Sciences not elsewhere classified
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology

description: Mitochondrial genomes were sequenced from five Raja pulchra individuals, and single-nucleotide polymorphisms (SNPs) were identified by comparing previously announced sequences in this study. Total 117 SNPs were detected and they were present in 2 rRNA genes, 9 tRNA genes, 13 protein coding genes and non-coding region. One deleted polymorphic site, which was located in 16S rRNA gene, was observed in two individuals. Six polymorphic sites were non-synonymous SNPs, which were distributed in ND1, ND2, ATP6 and ND4 gene. Phylogenic analysis validated current taxa. The genome sequences of R. pulchra mitochondria could be comparable information for understanding species divergence and genomic variation among the populations.
Metabolic vectors from moments of mass spectra distributions
Creators: name: Li, Tuobang
Publisher: name: Zenodo
Year: 2023

description: Metabolic pathways are fundamental maps in biochemistry that detail how molecules are transformed through various reactions. Metabolomics refers to the large-scale study of small molecules. High-throughput, untargeted, mass spectrometry-based metabolomics experiments typically depend on libraries for structural annotation, which is necessary for pathway analysis. However, only a sma fraction of spectra can be matched to know structures in these libraries and only a portion of annotated metabolites can be associated with specific pathways, considering that numerous pathways are yet to be discovered. The complexity of metabolic pathways, where a single compound can play a part in multiple pathways, poses an additional challenge. This study introduces a different concept: mass spectra distribution, which is the empirical distribution of the intensity times their assocated m/z values. Analysis of solarization, COVID-19, and mouse brain datasets shows that by estimating the differences of the point estimations of these.distributions, it becomes possible.to.infer the metabolic directions and magnitutes without requiring knowledge of the exact chemical structures of these compounds and their related pathways. The overall.metabolic map, named as vectome, has the potential to bypass current bottleneck and provide fresh insights into metabolomics studies. This brief report thus provides a mathematical framing for a classic biology concept.
Metabolic vectors from moments of mass spectra distributions
Creators: name: Li, Tuobang
Publisher: name: Zenodo
Year: 2023

description: Metabolic pathways are fundamental maps in biochemistry that detail how molecules are transformed through various reactions. Metabolomics refers to the large-scale study of small molecules. High-throughput, untargeted, mass spectrometry-based metabolomics experiments typically depend on libraries for structural annotation, which is necessary for pathway analysis. However, only a sma fraction of spectra can be matched to know structures in these libraries and only a portion of annotated metabolites can be associated with specific pathways, considering that numerous pathways are yet to be discovered. The complexity of metabolic pathways, where a single compound can play a part in multiple pathways, poses an additional challenge. This study introduces a different concept: mass spectra distribution, which is the empirical distribution of the intensity times their assocated m/z values. Analysis of solarization, COVID-19, and mouse brain datasets shows that by estimating the differences of the point estimations of these.distributions, it becomes possible.to.infer the metabolic directions and magnitutes without requiring knowledge of the exact chemical structures of these compounds and their related pathways. The overall.metabolic map, named as vectome, has the potential to bypass current bottleneck and provide fresh insights into metabolomics studies. This brief report thus provides a mathematical framing for a classic biology concept.
description: This manuscript was prepared two years ago, it was delayed since the author has been focusing on the estimations of moments. It is currently under review in PNAS. For more.information, please visit https//github.com/tuobangli. If you are interested, feel free to contact tl@biomathematics.org, for more materials available by request. Please do not use it without the author's approval before publishing.
A constraint consensus memetic algorithm for solving constrained optimization problems
Creators: name: Hamza, Noha M.
name: Ruhul A. Sarker
name: Essam, Daryl L.
name: Kalyanmoy Deb
name: Elsayed, Saber M.
Publisher: name: Taylor & Francis
Year: 2014
Subjects: subject: Mathematics
subject: FOS: Mathematics
subject: Information and Computing Sciences
subject: Biological Sciences
subject: Earth and Environmental Sciences
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Genetics

description: Constraint handling is an important aspect of evolutionary constrained optimization. Currently, the mechanism used for constraint handling with evolutionary algorithms mainly assists the selection process, but not the actual search process. In this article, first a genetic algorithm is combined with a class of search methods, known as constraint consensus methods, that assist infeasible individuals to move towards the feasible region. This approach is also integrated with a memetic algorithm. The proposed algorithm is tested and analysed by solving two sets of standard benchmark problems, and the results are compared with other state-of-the-art algorithms. The comparisons show that the proposed algorithm outperforms other similar algorithms. The algorithm has also been applied to solve a practical economic load dispatch problem, where it also shows superior performance over other algorithms.
Infer metabolic momentum from moment differences of mass-weighted intensity distributions
Creators: name: Tuobang Li
Publisher: name: Zenodo
Year: 2023

description: Metabolic pathways are fundamental maps in biochemistry that detail how molecules are transformed through various reactions. Metabolomics refers to the large-scale study of small molecules. High-throughput, untargeted, mass spectrometry-based metabolomics experiments typically depend on libraries for structural annotation, which is necessary for pathway analysis. However, only a small fraction of spectra can be matched to known structures in these libraries and only a portion of annotated metabolites can be associated with specific pathways, considering that numerous pathways are yet to be discovered. The complexity of metabolic pathways, where a single compound can play a part in multiple pathways, poses an additional challenge. This study introduces a different concept: mass spectra distribution, which is the empirical distribution of the intensities times their associated m/z values. Analysis of COVID-19 and mouse brain datasets shows that by estimating the differences of the point estimations of these distributions, it becomes possible to infer the metabolic directions and magnitudes without requiring knowledge of the exact chemical structures of these compounds and their related pathways. The overall metabolic momentum map, named as momentome, has the potential to bypass the current bottleneck and provide fresh insights into metabolomics studies. This brief report thus provides a mathematical framing for a classic biological concept.
description: These papers are prepared for PNAS. The related codes and drafts were shared and have been publically posted on my Github one year ago. I am introducing this work in YouTube and Quora, if you are interested, please visit: Institute of Biomathematics-YouTube or Tuobang Li Quora or Infer metabolic directions or Researchgate REDS:Mean or Researchgate REDS:Central Moments or REDS: Invariant Moments or REDS: Non-asymptotic. For more information, please visit Tuobang Li-GitHub. Also, feel free to share it or contact tl@biomathematics.org, for more materials available by request. 

This work was finished two years ago, and later I shared to some professors. I registered the domain, directome and biomathematics in January, 2022.
Supplementary Figures S1-S5 from Parasite escape mechanisms drive morphological diversification in avian lice
Creators: name: Kolencik, Stanislav
name: Stanley, Edward L.
name: Punnath, Aswaj
name: Grant, Avery R.
name: Doña, Jorge
name: Johnson, Kevin P.
name: Allen, Julie M.
Publisher: name: The Royal Society
Year: 2024
Subjects: classificationCode: 310399
subject: Ecology not elsewhere classified
classificationCode: 310499
subject: Evolutionary biology not elsewhere classified

description: This PDF file includes Figures S1 to S5 and their Legends; Legends for Datasets S1 to S3 and other relevant information.
Metabolic vectors from moments of mass spectra distributions
Creators: name: Tuobang Li
Publisher: name: Zenodo
Year: 2023

description: Metabolic pathways are fundamental maps in biochemistry that detail how molecules are transformed through various reactions. Metabolomics refers to the large-scale study of small molecules. High-throughput, untargeted, mass spectrometry-based metabolomics experiments typically depend on libraries for structural annotation, which is necessary for pathway analysis. However, only a sma fraction of spectra can be matched to know structures in these libraries and only a portion of annotated metabolites can be associated with specific pathways, considering that numerous pathways are yet to be discovered. The complexity of metabolic pathways, where a single compound can play a part in multiple pathways, poses an additional challenge. This study introduces a different concept: mass spectra distribution, which is the empirical distribution of the intensity times their assocated m/z values. Analysis of solarization, COVID-19, and mouse brain datasets shows that by estimating the differences of the point estimations of these.distributions, it becomes possible.to.infer the metabolic directions and magnitutes without requiring knowledge of the exact chemical structures of these compounds and their related pathways. The overall.metabolic map, named as vectome, has the potential to bypass current bottleneck and provide fresh insights into metabolomics studies. This brief report thus provides a mathematical framing for a classic biology concept.
description: This manuscript was prepared two years ago, it was delayed since the author has been focusing on the estimations of moments (also attached). All these papets are currently under review in PNAS. For more.information, please visit https//github.com/tuobangli. If you are interested, feel free to contact tl@biomathematics.org, for more materials available by request. Please do not use it without the author's approval before publishing.
Chiral bis(aminoalcohol) silver complex derived from (+)-camphor
Creators: name: González, Jaime
name: Reyes-Lezama, Marisol
name: Corona, David
name: Cuevas-Yañez, Erick
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Biotechnology
subject: Developmental Biology
subject: Mathematics
subject: FOS: Mathematics
subject: Biological Sciences
subject: Chemistry
subject: Molecular Biology
subject: Biochemistry

description: A chiral silver(I) complex was synthesized from the reaction of a chiral aminoalcohol derived from (+)-camphor and silver nitrate, with the structure unambiguously disclosed by X-ray analysis and 2D-NMR experiments. In this complex, the aminoalcohol molecule is a monodentate ligand through the amino nitrogen, requiring two aminoalcohol units which are coordinated to the silver and located orthogonally through the NH-Ag-NH axis.
Economic Determinants of Greenhouse Gas Emissions in Ethiopia: Bounds Testing Approach
Creators: name: Mahrous, Walaa
name: Mahrous, Walaa
Publisher: name: Unknown
Year: 2017
Subjects: subject: Environmental Economics and Policy
subject: International Development
subject: Bounds testing approach
subject: EKC hypothesis
subject: Ethiopia
subject: Greenhouse gas emissions
subject: Economic growth
subject: Foreign Trade
subject: Industry

description: This paper aims at investigating the main economic determinants that contribute to greenhouse gases emissions in Ethiopia. By applying the bounds testing approach, the long and short-run impacts of economic growth, trade openness, and industry on air pollution in Ethiopia are estimated. The data set used in the estimation process covers the period (1981-2013). The study also attempts to find out whether the Environmental Kuznets Curve (EKC) hypothesis applies to the Ethiopian economy or not. Results indicate that both trade liberalization and industry, when they interact together, have adverse impacts on the environment in Ethiopia. Furthermore, there are still no evidences to support the existence of EKC in Ethiopia.
Infer metabolic directions and magnitudes from moment differences of mass-weighted intensity distributions
Creators: name: Tuobang Li
Publisher: name: Zenodo
Year: 2024

description: Metabolic pathways are fundamental maps in biochemistry that detail how molecules are transformed through various reactions. Metabolomics refers to the large-scale study of small molecules. High-throughput, untargeted, mass spectrometry-based metabolomics experiments typically depend on libraries for structural annotation, which is necessary for pathway analysis. However, only a small fraction of spectra can be matched to known structures in these libraries and only a portion of annotated metabolites can be associated with specific pathways, considering that numerous pathways are yet to be discovered. The complexity of metabolic pathways, where a single compound can play a part in multiple pathways, poses an additional challenge. This study introduces a different concept: mass spectra distribution, which is the empirical distribution of the intensities times their associated m/z values. Analysis of COVID-19 and mouse brain datasets shows that by estimating the differences of the point estimations of these distributions, it becomes possible to infer the metabolic directions and magnitudes without requiring knowledge of the exact chemical structures of these compounds and their related pathways. The overall metabolic momentum map, named as momentome, has the potential to bypass the current bottleneck and provide fresh insights into metabolomics studies. This brief report thus provides a mathematical framing for a classic biological concept.
description: These papers are prepared for PNAS. The related codes and drafts were shared and have been publically posted on my Github one year ago. I am introducing this work in YouTube and Quora, if you are interested, please visit: Institute of Biomathematics-YouTube or Tuobang Li Quora or Infer metabolic directions or Researchgate REDS:Mean or Researchgate REDS:Central Moments or REDS: Invariant Moments or REDS: Non-asymptotic. For more information, please visit Tuobang Li-GitHub. Also, feel free to share it or contact tl@biomathematics.org, for more materials available by request. 

This work was finished two years ago, and later I shared to some professors. I registered the domain, directome and biomathematics in January, 2022.
Zenodo: COVID-19 Response
Creators: name: Smith, Tim
Publisher: name: Zenodo
Year: 2020
Subjects: Open Data
Open Science
OpenAIRE
Zenodo

description: Presented at the NIH webinar: "Sharing, Discovering, and Citing COVID-19 Data and Code in Generalist Repositories" on the 24th April 2020
Corruption and Challenges of Sustainable Inclusive Growth in Nigeria
Creators: name: Dantani, Umar
name: Muftau, O. Olarinde
name: Dantani, Umar
name: Muftau, O. Olarinde
Publisher: name: Unknown
Year: 2017
Subjects: subject: Community/Rural/Urban Development
subject: Political Economy
subject: Public Economics
subject: Corruption
subject: inclusive growth
subject: System equation
subject: Nigeria

description: The paper examines Corruption and Challenges of Sustainable Inclusive Growth in Nigeria. The paper adopts the theory of two publics as its framework of analysis. The theory explains the prevalence of corruption between and among public servants in Nigeria, which affects the attainment of sustainable inclusive growth. Corruption in Nigeria is caused by lack of accountability, transparency and good governance; poor leadership; monopolization of power by government officials; the utilization of discretionary powers by politicians and bureaucrats over the formulation and implementation of the rules and regulations and allocations of projects. Using system equation ordered by variables the paper revealed an indirect link between corruption and poverty and a significant negative impact on the attainment of inclusive growth in Nigeria. The test of causality using Wald test also revealed that there is a unidirectional causality running from corruption to inclusive growth. The paper therefore, argues that corruption challenges the attainment of sustainable inclusive growth in the country both in the short run and long run. This is because it drains and cripples the available national income for productive activities; discourages savings habit and increases debt burden in the country; hinders the Nigerian state to allocate resources for distributive purposes among the constituent units thereby; intensifies level of inequality and abject poverty; generates infrastructural and social services decay; and a general decline in the living standard of the ordinary Nigerian citizens.
Infer metabolic momentum from moment differences of mass-weighted intensity distributions
Creators: name: Tuobang Li
Publisher: name: Zenodo
Year: 2024

description: Metabolic pathways are fundamental maps in biochemistry that detail how molecules are transformed through various reactions.Metabolomics refers to the large-scale study of small molecules. High-throughput, untargeted, mass spectrometry-based metabolomics experiments typically depend on libraries for structural annotation, which is necessary for pathway analysis. However, only a small fraction of spectra can be matched to known structures in these libraries and only a portion of annotated metabolites can be associated with specific pathways, considering that numerous pathways are yet to be discovered. The complexity of metabolic pathways, where a single compound can play a part in multiple pathways, poses an additional challenge. This study introduces a different concept: mass spectra distribution, which is the empirical distribution of the intensities times their associated m/z values. Analysis of COVID-19 and mouse brain datasets shows that by estimating the differences of the pointestimations of these distributions, it becomes possible to infer the metabolic directions and magnitudes without requiring knowledge of the exact chemical structures of these compounds and their related pathways. The overall metabolic momentum map, named as momentome, has the potential to bypass the current bottleneck and provide fresh insights into metabolomics studies. This brief report thus provides a mathematical framing for a classic biological concept.
description: These papers are prepared for PNAS. The related codes and drafts were shared and have been publically posted on my Github one year ago. I am introducing this work in YouTube and Quora, if you are interested, please visit: Institute of Biomathematics-YouTube or Tuobang Li Quora or Infer metabolic directions or Researchgate REDS:Mean or Researchgate REDS:Central Moments or REDS: Invariant Moments or REDS: Non-asymptotic. For more information, please visit Tuobang Li-GitHub. Also, feel free to share it or contact tl@biomathematics.org, for more materials available by request. 

This work was finished two years ago, and later I shared to some professors. I registered the domain, directome and biomathematics in January, 2022.
Basis Curve Construction Explained
Creators: name: Lee, David
Publisher: name: Zenodo
Year: 2022
Subjects: swap curve, LIBOR curve, swap rate, zero curve bootstrapping

description: Basis curve is defined as the relationship between the basis zero rate and it’s maturity. Basis curves are used as the forecast curves for pricing interest rate products.
description: https://ia801406.us.archive.org/33/items/ir-curve-introduction-1_202105/IrCurveIntroduction-1.pdf
The Impact of Team Collaboration on Caregiver Satisfaction and Caregiver Stress Levels in Applied Behavior Analysis
Creators: name: Shah, Ariha
Publisher: name: Midwestern University
Year: 2024
Subjects: Clinical Psychology

description:       Autism spectrum disorder is a highly prevalent neurodevelopmental disorder that impacts families globally (American Psychiatric Association, 2013). This disorder is characterized by difficulties with social communication and interaction, as well as rigid, repetitive patterns of play, behaviors, and interests (American Psychiatric Association, 2013). It is often treated with a first line treatment: applied behavior analysis (Leaf et al., 2017). While this intervention approach has been researched to be highly successful in treating this disorder, there are several criticisms that are identified. Namely, caregiver satisfaction with this treatment approach is paired with high incidence of stress, that likely results in reduced adherence to treatment goals. The purpose of this study was to investigate how team collaboration (bi-weekly team meetings) in applied behavior analysis can impact caregiver stress levels and caregiver satisfaction levels. While the results yielded only one statistically significant result, in which team meetings did impact stress levels over time, the majority of results show that team meetings did not significantly impact satisfaction levels. The importance of collaborative care has been researched greatly and determined to have positive health outcomes for patients (Possemato et al., 2018; Balasubramanian et al., 2017; Ray-Sannerud et al., 2012). Given the research done in integrated behavioral health, it is suggested to include other healthcare disciplines for overall collaborative care in applied behavior analysis.
Studies on the catalytic domains of multiple JmjC oxygenases using peptide substrates
Creators: name: Williams, Sophie T
name: Walport, Louise J
name: Hopkinson, Richard J
name: Madden, Sarah K
name: Rasheduzzaman Chowdhury
name: Schofield, Christopher J
name: Kawamura, Akane
Publisher: name: Taylor & Francis
Year: 2014
Subjects: subject: Biological Sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Chemistry
subject: Earth and Environmental Sciences
subject: Biochemistry

description: The JmjC-domain-containing 2-oxoglutarate-dependent oxygenases catalyze protein hydroxylation and Nϵ-methyllysine demethylation via hydroxylation. A subgroup of this family, the JmjC lysine demethylases (JmjC KDMs) are involved in histone modifications at multiple sites. There are conflicting reports as to the substrate selectivity of some JmjC oxygenases with respect to KDM activities. In this study, a panel of modified histone H3 peptides was tested for demethylation against 15 human JmjC-domain-containing proteins. The results largely confirmed known Nϵ-methyllysine substrates. However, the purified KDM4 catalytic domains showed greater substrate promiscuity than previously reported (i.e., KDM4A was observed to catalyze demethylation at H3K27 as well as H3K9/K36). Crystallographic analyses revealed that the Nϵ-methyllysine of an H3K27me3 peptide binds similarly to Nϵ-methyllysines of H3K9me3/H3K36me3 with KDM4A. A subgroup of JmjC proteins known to catalyze hydroxylation did not display demethylation activity. Overall, the results reveal that the catalytic domains of the KDM4 enzymes may be less selective than previously identified. They also draw a distinction between the Nϵ-methyllysine demethylation and hydroxylation activities within the JmjC subfamily. These results will be of use to those working on functional studies of the JmjC enzymes.
Epigenetic heterogeneity of developmentally important genes in human sperm: Implications for assisted reproduction outcome
Creators: name: Kuhtz, Juliane
name: Schneider, Eberhard
name: Nady El Hajj
name: Zimmermann, Lena
name: Fust, Olga
name: Linek, Bartosz
name: Seufert, Rudolf
name: Hahn, Thomas
name: Schorsch, Martin
name: Haaf, Thomas
Publisher: name: Taylor & Francis
Year: 2014
Subjects: subject: Cancer
subject: Developmental Biology
subject: Biological Sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Earth and Environmental Sciences
subject: Physiology
subject: Molecular Biology
subject: Genetics
subject: Cell Biology

description: The molecular basis of male infertility is poorly understood, the majority of cases remaining unsolved. The association of aberrant sperm DNA methylation patterns and compromised semen parameters suggests that disturbances in male germline epigenetic reprogramming contribute to this problem. So far there are only few data on the epigenetic heterogeneity of sperm within a given sample and how to select the best sperm for successful infertility treatment. Limiting dilution bisulfite sequencing of small pools of sperm from fertile donors did not reveal significant differences in the occurrence of abnormal methylation imprints between sperm with and without morphological abnormalities. Intracytoplasmic morphologically selected sperm injection was not associated with an improved epigenetic quality, compared to standard intracytoplasmatic sperm injection. Deep bisulfite sequencing (DBS) of 2 imprinted and 2 pluripotency genes in sperm from men attending a fertility center showed that in both samples with normozoospermia and oligoasthenoteratozoospermia (OAT) the vast majority of sperm alleles was normally (de)methylated and the percentage of epimutations (allele methylation errors) was generally low (<1%). However, DBS allowed one to identify and quantify these rare epimutations with high accuracy. Sperm samples not leading to a pregnancy, in particular in the OAT group, had significantly more epimutations in the paternally methylated GTL2 gene than samples leading to a live birth. All 13 normozoospermic and 13 OAT samples leading to a child had <1% GTL2 epimutations, whereas one (7%) of 14 normozoospermic and 7 (50%) of 14 OAT samples without pregnancy displayed 1–14% GTL2 epimutations.
Studies on the catalytic domains of multiple JmjC oxygenases using peptide substrates
Creators: name: Williams, Sophie T
name: Walport, Louise J
name: Hopkinson, Richard J
name: Madden, Sarah K
name: Rasheduzzaman Chowdhury
name: Schofield, Christopher J
name: Kawamura, Akane
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biological Sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Chemistry
subject: Earth and Environmental Sciences
subject: Biochemistry

description: The JmjC-domain-containing 2-oxoglutarate-dependent oxygenases catalyze protein hydroxylation and Nϵ-methyllysine demethylation via hydroxylation. A subgroup of this family, the JmjC lysine demethylases (JmjC KDMs) are involved in histone modifications at multiple sites. There are conflicting reports as to the substrate selectivity of some JmjC oxygenases with respect to KDM activities. In this study, a panel of modified histone H3 peptides was tested for demethylation against 15 human JmjC-domain-containing proteins. The results largely confirmed known Nϵ-methyllysine substrates. However, the purified KDM4 catalytic domains showed greater substrate promiscuity than previously reported (i.e., KDM4A was observed to catalyze demethylation at H3K27 as well as H3K9/K36). Crystallographic analyses revealed that the Nϵ-methyllysine of an H3K27me3 peptide binds similarly to Nϵ-methyllysines of H3K9me3/H3K36me3 with KDM4A. A subgroup of JmjC proteins known to catalyze hydroxylation did not display demethylation activity. Overall, the results reveal that the catalytic domains of the KDM4 enzymes may be less selective than previously identified. They also draw a distinction between the Nϵ-methyllysine demethylation and hydroxylation activities within the JmjC subfamily. These results will be of use to those working on functional studies of the JmjC enzymes.
The Federal Date Order Market -- Activities and Accomplishments
Creators: name: Dennis, Carleton C.
name: Dennis, Carleton C.
Publisher: name: Unknown
Year: 1965
Subjects: subject: Agricultural and Food Policy
subject: Crop Production/Industries
subject: Demand and Price Analysis
subject: International Relations/Trade
subject: Marketing
subject: FOS: Economics and business
subject: Productivity Analysis

description: Report Summary: The Federal Date Marketing Order, in operation continuously since 1955 and amended three times, appears to have been successful in improving the farm price. The annual price received has been stabilized, with a slight increasing trend. Quantities sold as whole or pitted dates have been stabilized. Quantities sold for products have increased rapidly. However, the quantity of dates held over from one crop year to the next has steadily increased, posing a potentially serious problem for the industry. Although the Order may not be responsible, the number of packers has decreased and their average size has increased. The Order, which was preceded by the California Date Marketing Order, provides for minimum grade, size, quality, and container regulations, mandatory inspection and certification, research, and volume control. It applies only to the four most important date varieties: Deglet Noor, Zahidi, Khadrawy, and Halawy. U.S. date production is concentrated in the Coachella Valley of California. The industry is young but produces about half of the dates consumed in the United States.
Understanding the structural and dynamic consequences of DNA epigenetic modifications: Computational insights into cytosine methylation and hydroxymethylation
Creators: name: Carvalho, Alexandra T P
name: Gouveia, Leonor
name: Kanna, Charan Raju
name: Wärmländer, Sebastian K T S
name: Platts, Jamie A
name: Shina Caroline Lynn Kamerlin
Publisher: name: Taylor & Francis
Year: 2014
Subjects: subject: Biological Sciences
subject: Chemistry
subject: Molecular Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Physics
subject: Biochemistry
subject: Biophysics

description: We report a series of molecular dynamics (MD) simulations of up to a microsecond combined simulation time designed to probe epigenetically modified DNA sequences. More specifically, by monitoring the effects of methylation and hydroxymethylation of cytosine in different DNA sequences, we show, for the first time, that DNA epigenetic modifications change the molecule's dynamical landscape, increasing the propensity of DNA toward different values of twist and/or roll/tilt angles (in relation to the unmodified DNA) at the modification sites. Moreover, both the extent and position of different modifications have significant effects on the amount of structural variation observed. We propose that these conformational differences, which are dependent on the sequence environment, can provide specificity for protein binding.
The nexus between cross-border migration and international trade: Evidence from Tanzania
Creators: name: Lufuke, Mosses
name: Lufuke, Mosses
Publisher: name: Unknown
Year: 2017
Subjects: subject: International Development
subject: International Relations/Trade
subject: Cross-border migration
subject: International trade
subject: Tanzania

description: This paper attempted to unlock the conundrum of migration-trade relationship in Tanzania, using the country’s migrant stock (diaspora) in the parts of the world. It also aimed to investigate how this effect, if at all exist, differs between developing and developed countries. The augmented gravity model of trade has been employed to investigate the relationships between the variables. With cross-sectional data of 2013 that incorporated Tanzanian diaspora in different economies, the paper revealed that both Tanzania exports and trade volume are positively affected by the migrant stock in the countries of destination; and that the effect is highly pronounced in developed than developing nations. However, as the gravity model captures large number of variables, the paper disclosed interesting findings on the contribution of some variables to the Tanzania’s trade volume and exports.
Assessing Exposures to 1-chloro-4-(trifluoromethyl) Benzene (PCBTF) in U.S. Workplaces
Creators: name: Lee, Eun Gyung
name: Lewis, Braxton
name: Burns, Dru A.
name: Kashon, Michael L.
name: Kim, Seung Won
name: Harper, Martin
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biochemistry
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Science Policy
subject: Biological Sciences
subject: Chemistry
subject: Earth and Environmental Sciences
subject: Cell Biology
subject: Biophysics

description: Assessing Exposures to 1-chloro-4-(trifluoromethyl) Benzene (PCBTF) in U.S. Workplaces
The population ecology of Oryza meridionalis Ng on the South Alligator River floodplain, Kakadu National Park, monsoonal Australia
Creators: name: Wurm, Penelope
Publisher: name: Charles Darwin University
Year: 1998

description: The abundant and widespread emergent annual grass, Oryza meridionalis, is crucial to the floodplain food chain on wetlands in monsoonal Australia. The floodplains are a dynamic habitat, driven by the annual cycle of wetting and drying. They are also under increasing pressure from anthropogenic change. Although the annual wet season is a reliable occurrence, variability between years in the timing of onset, total amount and the pattern of rainfall as well as the duration of flooding, potentially present risks for aquatic biota. This thesis investigates the population ecology of this important plant species, in order to understand the strategies by which populations persist, despite the expected risks associated with the annual wetting and drying cycle. Field monitoring and experiments showed that great plasticity allows O. meridionalis plants to survive and reproduce under a range of inundation regimes. Increased flooding was shown to significantly increase seedling mortality and reduce plant seed production. However, benefits from increased flooding were protection of seed from post-dispersal predators, and potential for prolonged seed production by stems recumbent on lingering floodwaters in years of greater rainfall. Thus, there was a trade-off between advantage and disadvantage for different stages of the life-cycle, in various inundation regimes. A simple linear stochastic population model confirmed that this trade-off could result in population persistence, even when factors such as flooding events, inundation level and post-dispersal seed loss were increased well above those levels recorded in the field. Modelling demonstrated that density-dependent population regulation underpins population stability and persistence for O. meridionalis. This work focussed on the behaviour of mono-specific populations. Future studies could focus on the behaviour of O. meridionalis populations in multi-species settings.
Understanding the structural and dynamic consequences of DNA epigenetic modifications: Computational insights into cytosine methylation and hydroxymethylation
Creators: name: Carvalho, Alexandra T P
name: Gouveia, Leonor
name: Kanna, Charan Raju
name: Wärmländer, Sebastian K T S
name: Platts, Jamie A
name: Shina Caroline Lynn Kamerlin
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biological Sciences
subject: Chemistry
subject: Molecular Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Physics
subject: Biochemistry
subject: Biophysics

description: We report a series of molecular dynamics (MD) simulations of up to a microsecond combined simulation time designed to probe epigenetically modified DNA sequences. More specifically, by monitoring the effects of methylation and hydroxymethylation of cytosine in different DNA sequences, we show, for the first time, that DNA epigenetic modifications change the molecule's dynamical landscape, increasing the propensity of DNA toward different values of twist and/or roll/tilt angles (in relation to the unmodified DNA) at the modification sites. Moreover, both the extent and position of different modifications have significant effects on the amount of structural variation observed. We propose that these conformational differences, which are dependent on the sequence environment, can provide specificity for protein binding.