cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16829849.v1
title: Additional file 1 of Differential enrichment of H3K9me3 at annotated satellite DNA repeats in human cell lines and during fetal development in mouse

description: Additional file 1: Table S1A. Cell lines analyzed in this study. Table S1B. Mouse samples analyzed in this study (produced by Gorkin et al. 2020; UCSD/Ren ENCODE group; ref. [23]).
DOI: 10.6084/m9.figshare.16829855
title: Additional file 3 of Differential enrichment of H3K9me3 at annotated satellite DNA repeats in human cell lines and during fetal development in mouse

description: Additional file 3: Table S5. Average FC (log2) of H3K9me3 at annotated human satellite DNA elements.
DOI: 10.6084/m9.figshare.16829855.v1
title: Additional file 3 of Differential enrichment of H3K9me3 at annotated satellite DNA repeats in human cell lines and during fetal development in mouse

description: Additional file 3: Table S5. Average FC (log2) of H3K9me3 at annotated human satellite DNA elements.
DOI: 10.6084/m9.figshare.16829858
title: Additional file 4 of Differential enrichment of H3K9me3 at annotated satellite DNA repeats in human cell lines and during fetal development in mouse

description: Additional file 4: Table S6. Average FC (log2) of H3K9me3 at human satellite elements that show significant differential enrichment between normal and cancer cell lines. P-value is calculated by ANOVA.
DOI: 10.6084/m9.figshare.16829858.v1
title: Additional file 4 of Differential enrichment of H3K9me3 at annotated satellite DNA repeats in human cell lines and during fetal development in mouse

description: Additional file 4: Table S6. Average FC (log2) of H3K9me3 at human satellite elements that show significant differential enrichment between normal and cancer cell lines. P-value is calculated by ANOVA.
DOI: 10.6084/m9.figshare.16829861.v1
title: Additional file 5 of Differential enrichment of H3K9me3 at annotated satellite DNA repeats in human cell lines and during fetal development in mouse

description: Additional file 5: Table S8. Average FC (log2) of H3K9me3 at mouse satellite elements that show significant differential enrichment between developmental stages. P-value is calculated by ANOVA and p_adj represents adjusted p-value after correction by Bonferroni.
DOI: 10.6084/m9.figshare.16829861
title: Additional file 5 of Differential enrichment of H3K9me3 at annotated satellite DNA repeats in human cell lines and during fetal development in mouse

description: Additional file 5: Table S8. Average FC (log2) of H3K9me3 at mouse satellite elements that show significant differential enrichment between developmental stages. P-value is calculated by ANOVA and p_adj represents adjusted p-value after correction by Bonferroni.
DOI: 10.6084/m9.figshare.16829053.v2
title: Birth weight and Smoking

description: Birth weight and Smoking during pregnancy
DOI: 10.6084/m9.figshare.16829945
title: Additional file 1 of Transcriptional analysis reveals specific niche factors and response to environmental stresses of enterohemorrhagic Escherichia coli O157:H7 in bovine digestive contents

description: Additional file 1: Additional Tables (xlsx). Table S1: E. coli O157:H7 strain EDL933 up-regulated stress-responsive genes (RNA-seq data), Table S2: Down-regulated stress responsive genes, Table S3: Up and down-regulated genes associated with iron uptake or utilization, Table S4: Up-regulated genes associated with chemotaxis and flagella synthesis/motility, Table S5: Expression of LEE-encoding genes, Table S6: Expression of genes encoding proteins involved in distant adhesion of the bacteria, Table S7: p-values of one way ANOVA followed by Tuckey test for comparing transcription of TA systems in the three digestive contents, Table S8: Quantification of expression (Log2FC) of selected genes in EDL933 incubated in rumen, small intestine and rectum contents relative to M9-Glc by RT-qPCR and comparison with RNA-seq data, Table S9: Composition of the concentrate fed to the bulls, TableS10: EDL933 cell counts in the incubation media, Table S11: Primers used for qPCR.
DOI: 10.6084/m9.figshare.16829945.v1
title: Additional file 1 of Transcriptional analysis reveals specific niche factors and response to environmental stresses of enterohemorrhagic Escherichia coli O157:H7 in bovine digestive contents

description: Additional file 1: Additional Tables (xlsx). Table S1: E. coli O157:H7 strain EDL933 up-regulated stress-responsive genes (RNA-seq data), Table S2: Down-regulated stress responsive genes, Table S3: Up and down-regulated genes associated with iron uptake or utilization, Table S4: Up-regulated genes associated with chemotaxis and flagella synthesis/motility, Table S5: Expression of LEE-encoding genes, Table S6: Expression of genes encoding proteins involved in distant adhesion of the bacteria, Table S7: p-values of one way ANOVA followed by Tuckey test for comparing transcription of TA systems in the three digestive contents, Table S8: Quantification of expression (Log2FC) of selected genes in EDL933 incubated in rumen, small intestine and rectum contents relative to M9-Glc by RT-qPCR and comparison with RNA-seq data, Table S9: Composition of the concentrate fed to the bulls, TableS10: EDL933 cell counts in the incubation media, Table S11: Primers used for qPCR.
DOI: 10.6084/m9.figshare.16829957
title: Additional file 2 of Functional glyco-metagenomics elucidates the role of glycan-related genes in environments

description: Additional file 2: Table S1. List of bacterial taxonomy used in this study. Table S2. List of metagenomic samples used in this study. Table S3. Glycan-related genes predicted in each metagenome sample. Table S4. CAZy classification of predicted glycan-related genes in each metagenome sample. Table S5. Glycan-related genes perfectly matched to the dbCAN sequences. Table S6. GH families in each metagenome sample. A cell value is relative abundance in each sample. Table S7. GT families in each metagenome sample. A cell value is relative abundance in each sample. Table S8. Classification of substrates and properties of GH families. Table S9. Classification of specific- or general-properties of GT families. Table S10. Coverage of EC numbers on the KEGG pathway map “Starch and sucrose metabolism” (KEGG PATHWAY ko00500).
DOI: 10.6084/m9.figshare.16829957.v1
title: Additional file 2 of Functional glyco-metagenomics elucidates the role of glycan-related genes in environments

description: Additional file 2: Table S1. List of bacterial taxonomy used in this study. Table S2. List of metagenomic samples used in this study. Table S3. Glycan-related genes predicted in each metagenome sample. Table S4. CAZy classification of predicted glycan-related genes in each metagenome sample. Table S5. Glycan-related genes perfectly matched to the dbCAN sequences. Table S6. GH families in each metagenome sample. A cell value is relative abundance in each sample. Table S7. GT families in each metagenome sample. A cell value is relative abundance in each sample. Table S8. Classification of substrates and properties of GH families. Table S9. Classification of specific- or general-properties of GT families. Table S10. Coverage of EC numbers on the KEGG pathway map “Starch and sucrose metabolism” (KEGG PATHWAY ko00500).
DOI: 10.6084/m9.figshare.16829969
title: Additional file 2 of Evidence of the impacts of pharmaceuticals on aquatic animal behaviour: a systematic map protocol

description: Additional file 2. Supplementary data file, containing full annotated search strings, search string development, benchmarking, and pilot screening results.
DOI: 10.6084/m9.figshare.16829969.v1
title: Additional file 2 of Evidence of the impacts of pharmaceuticals on aquatic animal behaviour: a systematic map protocol

description: Additional file 2. Supplementary data file, containing full annotated search strings, search string development, benchmarking, and pilot screening results.
DOI: 10.6084/m9.figshare.16829956
title: Additional file 10 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 10: Table S9. A table containing the data from the differential essentiality analysis of male and female NSCLC cell lines Fig. 3c.
DOI: 10.6084/m9.figshare.16829956.v1
title: Additional file 10 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 10: Table S9. A table containing the data from the differential essentiality analysis of male and female NSCLC cell lines Fig. 3c.
DOI: 10.6084/m9.figshare.16829959
title: Additional file 11 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 11: Table S10. A table containing the data from the differential expression analysis of male and female PDAC cell lines Fig. 3e.
DOI: 10.6084/m9.figshare.16829959.v1
title: Additional file 11 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 11: Table S10. A table containing the data from the differential expression analysis of male and female PDAC cell lines Fig. 3e.
DOI: 10.6084/m9.figshare.16829962
title: Additional file 12 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 12: Table S11. A table containing the data from the differential essentiality analysis of male and female PDAC cell lines Fig. 3e.
DOI: 10.6084/m9.figshare.16829962.v1
title: Additional file 12 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 12: Table S11. A table containing the data from the differential essentiality analysis of male and female PDAC cell lines Fig. 3e.
DOI: 10.6084/m9.figshare.16829965.v1
title: Additional file 13 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 13: Table S12. A table containing the differential expression analysis data merged with the location data for all three tissues shown in Fig. 4.
DOI: 10.6084/m9.figshare.16829965
title: Additional file 13 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 13: Table S12. A table containing the differential expression analysis data merged with the location data for all three tissues shown in Fig. 4.
DOI: 10.6084/m9.figshare.16829971
title: Additional file 2 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 2: Table S1. A table containing raw CERES scores displayed in the ovarian cell line heat map of Fig. 1e.
DOI: 10.6084/m9.figshare.16829971.v1
title: Additional file 2 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 2: Table S1. A table containing raw CERES scores displayed in the ovarian cell line heat map of Fig. 1e.
DOI: 10.6084/m9.figshare.16829974
title: Additional file 3 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 3: Table S2. A table containing raw CERES scores displayed in the breast cell line heat map of Fig. 1e.
DOI: 10.6084/m9.figshare.16829977.v1
title: Additional file 4 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 4: Table S3. A table containing mean CERES scores for each series displayed in Fig. 2a, b.
DOI: 10.6084/m9.figshare.16829974.v1
title: Additional file 3 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 3: Table S2. A table containing raw CERES scores displayed in the breast cell line heat map of Fig. 1e.
DOI: 10.6084/m9.figshare.16829977
title: Additional file 4 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 4: Table S3. A table containing mean CERES scores for each series displayed in Fig. 2a, b.
DOI: 10.6084/m9.figshare.16829983.v1
title: Additional file 5 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 5: Table S4. A table containing the data for all chi [2] tests performed to generate Fig. 2c, d.
DOI: 10.6084/m9.figshare.16829983
title: Additional file 5 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 5: Table S4. A table containing the data for all chi [2] tests performed to generate Fig. 2c, d.
DOI: 10.6084/m9.figshare.16829989.v1
title: Additional file 7 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 7: Table S6. A table containing the data from the differential expression analysis of male and female CRC cell lines shown in Fig. 3a.
DOI: 10.6084/m9.figshare.16829986
title: Additional file 6 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 6: Table S5. A table containing the data for scatter plots shown in Fig. 2e, f, g.
DOI: 10.6084/m9.figshare.16829986.v1
title: Additional file 6 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 6: Table S5. A table containing the data for scatter plots shown in Fig. 2e, f, g.
DOI: 10.6084/m9.figshare.16829989
title: Additional file 7 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 7: Table S6. A table containing the data from the differential expression analysis of male and female CRC cell lines shown in Fig. 3a.
DOI: 10.6084/m9.figshare.16829992
title: Additional file 8 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 8: Table S7. A table containing the data from the differential essentiality analysis of male and female CRC cell lines Fig. 3a.
DOI: 10.6084/m9.figshare.16829992.v1
title: Additional file 8 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 8: Table S7. A table containing the data from the differential essentiality analysis of male and female CRC cell lines Fig. 3a.
DOI: 10.6084/m9.figshare.16829995
title: Additional file 9 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 9: Table S8. A table containing the data from the differential expression analysis of male and female NSCLC cell lines Fig. 3c.
DOI: 10.6084/m9.figshare.16829995.v1
title: Additional file 9 of A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy

description: Additional file 9: Table S8. A table containing the data from the differential expression analysis of male and female NSCLC cell lines Fig. 3c.
DOI: 10.6084/m9.figshare.16664143.v1
title: Source Data for Savinov et al. 2021: 3' UTRs

description: Source Data associated with the following article:<br>A. Savinov, B. M. Brandsen, B. E. Angell, J. T. Cuperus, S. Fields. Effects of sequence motifs in the yeast 3′ untranslated region determined from massively parallel assays of random sequences. <i>Genome Biology </i><b>22</b>, 293 (2021). https://doi.org/10.1186/s13059-021-02509-6.<br>Please cite this article if you make use of these data.<br>The included Table of Contents provides a description of each Source Data component. <br>Please see the corresponding GitHub repository for the analysis scripts associated with this work:https://github.com/andrewsavinov/Savinov-et-al-2021_3primeUTRs<br><br>Note that several of the Source Data components are input data for the analysis scripts, and others are outputs produced by said scripts.
DOI: 10.6084/m9.figshare.16664143
title: Source Data for Savinov et al. 2021: 3' UTRs

description: Source Data associated with the following article:<br>A. Savinov, B. M. Brandsen, B. E. Angell, J. T. Cuperus, S. Fields. Effects of sequence motifs in the yeast 3′ untranslated region determined from massively parallel assays of random sequences. <i>Genome Biology </i><b>22</b>, 293 (2021). https://doi.org/10.1186/s13059-021-02509-6.<br>Please cite this article if you make use of these data.<br>The included Table of Contents provides a description of each Source Data component. <br>Please see the corresponding GitHub repository for the analysis scripts associated with this work:https://github.com/andrewsavinov/Savinov-et-al-2021_3primeUTRs<br><br>Note that several of the Source Data components are input data for the analysis scripts, and others are outputs produced by said scripts.
DOI: 10.6084/m9.figshare.16823629.v5
title: The Correlation between Nidovirales and Coronavirus Disease 2019 (COVID-19) EPI_ISL_2081021 analyzed with OC43/USA/VR759/2019

description: The Correlation between Nidovirales and Coronavirus Disease 2019 (COVID-19) and the prevalence of Accession ID: EPI_ISL_2081021 and the result for comparison with reference selection: OC43/USA/VR759/2019 <br>
DOI: 10.6084/m9.figshare.16829053
title: Birth weight and Smoking

description: Birth weight and Smoking during pregnancy
DOI: 10.6084/m9.figshare.16829053.v3
title: Birth weight and Smoking

description: Birth weight and Smoking during pregnancy
DOI: 10.6084/m9.figshare.16823629.v6
title: hCoV-19/USA/NJ-NYGC-S-RM-7299 analyzed with OC43/USA/VR759/2019

description: The Correlation between Nidovirales and Coronavirus Disease 2019 (COVID-19) and the prevalence of hCoV-19/USA/NJ-NYGC-S-RM-7299 analyzed with OC43/USA/VR759/2019.
DOI: 10.5517/ccdc.csd.cc26z74l
title: CCDC 2054839: Experimental Crystal Structure Determination

description: Related Article: Vít Kremláček, Martin Hejda, Elena Rychagova, Sergey Ketkov, Roman Jambor, Aleš Růžička, Libor Dostál|2021|Eur.J.Inorg.Chem.|2021|4030|doi:10.1002/ejic.202100648
DOI: 10.5517/ccdc.csd.cc26z75m
title: CCDC 2054840: Experimental Crystal Structure Determination

description: Related Article: Vít Kremláček, Martin Hejda, Elena Rychagova, Sergey Ketkov, Roman Jambor, Aleš Růžička, Libor Dostál|2021|Eur.J.Inorg.Chem.|2021|4030|doi:10.1002/ejic.202100648
DOI: 10.5517/ccdc.csd.cc26z76n
title: CCDC 2054841: Experimental Crystal Structure Determination

description: Related Article: Vít Kremláček, Martin Hejda, Elena Rychagova, Sergey Ketkov, Roman Jambor, Aleš Růžička, Libor Dostál|2021|Eur.J.Inorg.Chem.|2021|4030|doi:10.1002/ejic.202100648
DOI: 10.5517/ccdc.csd.cc26z77p
title: CCDC 2054842: Experimental Crystal Structure Determination

description: Related Article: Vít Kremláček, Martin Hejda, Elena Rychagova, Sergey Ketkov, Roman Jambor, Aleš Růžička, Libor Dostál|2021|Eur.J.Inorg.Chem.|2021|4030|doi:10.1002/ejic.202100648
DOI: 10.5517/ccdc.csd.cc26z78q
title: CCDC 2054843: Experimental Crystal Structure Determination

description: Related Article: Vít Kremláček, Martin Hejda, Elena Rychagova, Sergey Ketkov, Roman Jambor, Aleš Růžička, Libor Dostál|2021|Eur.J.Inorg.Chem.|2021|4030|doi:10.1002/ejic.202100648
DOI: 10.5517/ccdc.csd.cc26z79r
title: CCDC 2054844: Experimental Crystal Structure Determination

description: Related Article: Vít Kremláček, Martin Hejda, Elena Rychagova, Sergey Ketkov, Roman Jambor, Aleš Růžička, Libor Dostál|2021|Eur.J.Inorg.Chem.|2021|4030|doi:10.1002/ejic.202100648
DOI: 10.6084/m9.figshare.16822978.v1
title: deepMTJ test-set data

description: This dataset comprises 1344 images of muscle-tendon junctions recorded with 3 ultrasound imaging systems (Aixplorer V6, Esaote MyLab60, Telemed ArtUs), on 2 muscles (Lateral Gastrocnemius, Medial Gastrocnemius), and 2 movements (isometric maximum voluntary contractions, passive torque movements).<br>
DOI: 10.5281/zenodo.5576990
title: Competencies of Educational Supervisors as a Support System to Improve Student Well-Being Based Educational Program

description: Data of individual in-depth interview and focused group discussion
DOI: 10.5281/zenodo.5576989
title: Competencies of Educational Supervisors as a Support System to Improve Student Well-Being Based Educational Program

description: Data of individual in-depth interview and focused group discussion
DOI: 10.14457/cu.the.2002.361
title: ทางเลือกในการปรับปรุงอาคารซึ่งใช้แผงกันแดดคอนกรีตเสริมเหล็ก เป็นองค์ประกอบหลักในพื้นที่เขตการศึกษา ของจุฬาลงกรณ์มหาวิทยาลัย กรุงเทพมหานคร

description: อาคารส่วนใหญ่ในพื้นที่เขตการศึกษาของจุฬาลงกรณ์มหาวิทยาลัย มีอายุอาคารอยู่ในช่วง 21-40 ปี ซึ่งเริ่มมีปัญหาของงานระบบประกอบอาคารที่หมดอายุการใช้งาน โดยรูปแบบหนึ่งที่นิยมคือ อาคารซึ่งใช้แผงกันแดดคอนกรีตเสริมเหล็กเป็นองค์ประกอบหลัก ซึ่งพบว่า อาคารเหล่านี้มีสภาพปัญหาที่คล้ายคลึงกันในประสิทธิภาพของเปลือกอาคาร และงานระบบในประเด็นต่างๆ การวิจัยนี้จึงมุ่งที่จะหาแนวทางการปรับปรุงกลุ่มอาคารดังกล่าว โดยพิจารณาหลักการออกแบบผสมผสานในประสิทธิภาพอาคารด้านงานระบบ โครงสร้าง แสงสว่าง คุณภาพอากาศและสภาวะสบายภายในอาคาร ทั้งนี้ได้คัดเลือกอาคารกรณีศึกษาเพื่อใช้เป็นตัวอย่างจำนวน 4 อาคารคือ อาคารเคมี 3 (SCI09) อาคารเศรษฐศาสตร์ 1 (ECO01) อาคารครุศาสตร์ 4 (EDU04) และอาคารเภสัชศาสตร์ 1 (PHA01) โดยได้สำรวจข้อมูลเบื้องต้นและวิเคราะห์ในประเด็นต่างๆ เพื่อทำความเข้าใจและได้แยกแยะปัญหาเป็น 2 กลุ่มคือ ปัญหาทั่วไปที่สามารถเสนอแนวทางแก้ไขที่เฉพาะเจาะจงได้ และปัญหาที่เสนอเป็นทางเลือกในการปรับปรุงที่เน้นในแต่ละประเด็นของการผสมผสาน เพื่อให้เป็นการแก้ปัญหาร่วมกันและไม่สร้างผลกระทบให้เกิดปัญหาในด้านอื่นตามมา สุดท้ายเป็นการสรุปภาพรวมของแต่ละอาคาร โดยได้จัดทำแบบสำหรับบันทึกและวิเคราะห์ตลอดทุกขั้นตอนของการศึกษา เพื่อให้ง่ายต่อการทำงานและได้ข้อมูลที่ครบถ้วน ซึ่งผลของการศึกษาพบว่า แนวความคิดหลักในการออกแบบอาคารเน้นการป้องกันแสงแดดทางตรงเป็นอย่างมาก และใช้การระบายอากาศธรรมชาติ แผงกันแดดจึงมีลักษณะทึบตัน ช่องเปิดน้อย ในช่วงการใช้งานมีการบำรุงรักษาต่ำ มีการเปลี่ยนมาใช้ระบบปรับอากาศในอาคารตามความต้องการที่เปลี่ยนแปลงไป ทำให้แสงธรรมชาติและกระแสลมเข้ามาได้น้อย ทั้งยังเกิดปัญหาแสงจ้าจากความเปรียบต่างที่มากเกินไป และมีปัญหาการติดตั้งและการบำรุงรักษาท่อระบายน้ำทางดิ่ง ที่ไม่ได้ออกแบบเตรียมไว้แต่แรก รวมทั้งการระบายอากาศในอาคารไม่เพียงพอ จึงได้เสนอให้มีการรื้อเปลี่ยนแผงกันแดดคอนกรีตเสริมเหล็ก เป็นแผงอลูมิเนียมเกล็ดซึ่งมีน้ำหนักเบา ช่วยสะท้อนแสงสว่าง บดบังเครื่องปรับอากาศ ระบายอากาศได้ดี บำรุงรักษาง่าย ร่วมกับการเพิ่มช่องเปิดให้ผนังภายนอกและผนังภายใน ซึ่งค่อนข้างจะใช้งบประมาณมาก อย่างไรก็ตาม อาจปรับปรุงโดยใช้งบประมาณน้อยลงมา ได้แก่ การติดตั้งท่อระบายน้ำทางดิ่งที่เหมาะสม การบำรุงรักษาซ่อมแซมผิวอาคารและการแตกร้าว เปลี่ยนวัสดุ การตกแต่งภายในและแสงประดิษฐ์ ปรับปรุงการติดตั้งงานระบบ มาตรฐานการป้องกันอัคคีภัย เป็นต้น ซึ่งการปรับปรุงที่ดีจะต้องคำนึงถึงการผสมผสานที่ครบวงจร และอาศัยความร่วมมือจากทุกฝ่าย