25. The abstract must be written in English and should not exceed 250 words, excluding the title, author names and institutional affiliation. 26. The abstract must include: Name(s) of presenter(s), Institution, Year of Study, MIDAS Registration Number, Subject, and Topic/Title. 27. The abstract must be reviewed and countersigned by the Head of the Department, who will be responsible for the contents of the presentation. 28. The abstract (as well as the final presentation) must not contain plagiarized or misleading material. 29. The abstract should be prepared in Microsoft Word, single page, A4 size, standard margins, Times New Roman, font size 12, line spacing. 30. Abstracts must be submitted only through the official MIDAS website [www.midicon.org]. An acknowledgement will be sent to the registered email ID after successful submission. 31. Only a scanned copy of the HOD-signed abstract in PDF format should be uploaded. 32. Abstract submission deadlines: can u prepare the abstract accordingly Nithya Shree M PRESENTER,Cuddalore Government Dental College,4th year,reg no. MIDAS-2026-1547
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MIDAS conference 2026 abstract submission guidelines official
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python3 -c "from pypdf import PdfReader; p='/tmp/workspace/attachments/3d4a6072-3647-472d-9133-b98b23eeef11/ScholarOne for Conferences - Abstract proof popup.pdf'; r=PdfReader(p); print('PAGES', len(r.pages)); print('\\n'.join((page.extract_text() or '') for page in r.pages))"
mkdir -p "/tmp/workspace/midas_abstract/output" && python3 - <<'PY' from docx import Document from docx.shared import Inches, Pt from docx.enum.text import WD_ALIGN_PARAGRAPH from docx.enum.table import WD_TABLE_ALIGNMENT, WD_CELL_VERTICAL_ALIGNMENT from docx.oxml import OxmlElement from docx.oxml.ns import qn from reportlab.lib.pagesizes import A4 from reportlab.lib.units import inch from reportlab.pdfbase import pdfmetrics from reportlab.pdfbase.ttfonts import TTFont from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle, KeepTogether from reportlab.lib.styles import ParagraphStyle from reportlab.lib.enums import TA_CENTER, TA_LEFT from reportlab.lib import colors import os, re out='/tmp/workspace/midas_abstract/output' title='Effect of Six Cleaning Protocols on Surface Degradation and Microplastic Release from PETG Orthodontic Aligners: An In Vitro Comparative Study' body=("Objectives: Repeated mechanical and chemical cleaning of PETG orthodontic aligners may alter surface integrity and promote particle release. This study will compare six clinically relevant cleaning protocols for their effects on surface roughness and microplastic release, and assess the relation between these outcomes.\n\n" "Methods: Sixty PETG aligners (Erkodur 1.0 mm) will be randomly allocated to six groups (n=10): distilled water, dry toothbrush, 1450-ppm sodium-fluoride toothpaste with toothbrush, sodium perborate effervescent tablets, 0.12% chlorhexidine gluconate, and ultrasonic cleaning. Each protocol will be applied twice daily for 14 days (28 cycles). Surface roughness (Ra, µm) will be measured before and after treatment using a stylus profilometer; change in roughness (ΔRa) is the primary outcome. Five specimens per group will undergo field-emission scanning electron microscopy and Raman spectroscopy for surface characterization. Effluent will be vacuum-filtered through 0.45-µm membranes, and retained particles will be characterized by field-emission scanning electron microscopy and Raman spectroscopy. One-way ANOVA with Tukey’s HSD and correlation analysis will be used (p<0.05).\n\n" "Expected Results: Toothbrushing with fluoride toothpaste is expected to cause the greatest roughness increase and particle release; distilled water and chlorhexidine are expected to cause less alteration. Effervescent tablets and ultrasonic cleaning are expected to show intermediate effects.\n\n" "Conclusion: This study will provide comparative evidence on cleaning-related surface degradation and microplastic release from PETG orthodontic aligners. The findings may inform clinically appropriate aligner-cleaning recommendations and further research on potential microplastic exposure.") # count body words words=re.findall(r"\b[\w]+(?:[-‑][\w]+)?\b",body) assert len(words) <= 250, len(words) # DOCX doc=Document() sec=doc.sections[0] sec.top_margin=Inches(1); sec.bottom_margin=Inches(1); sec.left_margin=Inches(1); sec.right_margin=Inches(1) style=doc.styles['Normal']; style.font.name='Times New Roman'; style._element.rPr.rFonts.set(qn('w:eastAsia'),'Times New Roman'); style.font.size=Pt(12) style.paragraph_format.line_spacing=1 style.paragraph_format.space_after=Pt(0) def set_cell_text(cell,text,bold=False): cell.text='' p=cell.paragraphs[0]; p.paragraph_format.space_after=Pt(0); p.paragraph_format.line_spacing=1 r=p.add_run(text); r.bold=bold; r.font.name='Times New Roman'; r._element.rPr.rFonts.set(qn('w:eastAsia'),'Times New Roman'); r.font.size=Pt(12) cell.vertical_alignment=WD_CELL_VERTICAL_ALIGNMENT.CENTER p=doc.add_paragraph();p.alignment=WD_ALIGN_PARAGRAPH.CENTER;p.paragraph_format.space_after=Pt(4) r=p.add_run('MIDAS 2026 - ABSTRACT SUBMISSION');r.bold=True;r.font.name='Times New Roman';r.font.size=Pt(12) p=doc.add_paragraph();p.alignment=WD_ALIGN_PARAGRAPH.CENTER;p.paragraph_format.space_after=Pt(5) r=p.add_run(title);r.bold=True;r.font.name='Times New Roman';r.font.size=Pt(12) rows=[('Presenter','Nithya Shree M'),('Institution','Cuddalore Government Dental College'),('Year of Study','Fourth Year BDS'),('MIDAS Registration Number','MIDAS-2026-1547'),('Subject','Orthodontics and Dentofacial Orthopaedics')] t=doc.add_table(rows=0, cols=2);t.alignment=WD_TABLE_ALIGNMENT.CENTER;t.autofit=False for label,val in rows: cells=t.add_row().cells; cells[0].width=Inches(2.0); cells[1].width=Inches(4.5) set_cell_text(cells[0],label+':',True);set_cell_text(cells[1],val) for row in t.rows: for cell in row.cells: tcPr=cell._tc.get_or_add_tcPr(); borders=OxmlElement('w:tcBorders') for edge in ['top','left','bottom','right','insideH','insideV']: e=OxmlElement('w:'+edge);e.set(qn('w:val'),'nil');borders.append(e) tcPr.append(borders) for para in [doc.add_paragraph(),]: para.paragraph_format.space_after=Pt(0);para.paragraph_format.space_before=Pt(3) for label,text in [('Abstract:',body)]: p=doc.add_paragraph(); p.paragraph_format.line_spacing=1;p.paragraph_format.space_before=Pt(2);p.paragraph_format.space_after=Pt(0) run=p.add_run(label+' ');run.bold=True;run.font.name='Times New Roman';run.font.size=Pt(12) # preserve paragraphs but compact parts=text.split('\n\n') p.add_run(parts[0]) for part in parts[1:]: p.add_run('\n'+part) for label,text in [('Keywords:','PETG orthodontic aligners; microplastic release; surface roughness; cleaning protocols; Raman spectroscopy.')]: p=doc.add_paragraph();p.paragraph_format.line_spacing=1;p.paragraph_format.space_before=Pt(3);p.paragraph_format.space_after=Pt(0) r=p.add_run(label+' ');r.bold=True;r.font.name='Times New Roman';r.font.size=Pt(12);p.add_run(text) p=doc.add_paragraph();p.paragraph_format.space_before=Pt(12);p.paragraph_format.space_after=Pt(0);p.paragraph_format.line_spacing=1 r=p.add_run('Reviewed and countersigned by Head of the Department: ');r.font.name='Times New Roman';r.font.size=Pt(12) p.add_run('____________________________') p=doc.add_paragraph();p.paragraph_format.space_after=Pt(0);p.paragraph_format.line_spacing=1 p.add_run('Name, signature and official seal of HOD').italic=True path=os.path.join(out,'MIDAS_2026_Abstract_Nithya_Shree_M.docx');doc.save(path) # PDF matching layout font='/usr/share/fonts/truetype/msttcorefonts/Times_New_Roman.ttf' bold='/usr/share/fonts/truetype/msttcorefonts/Times_New_Roman_Bold.ttf' if os.path.exists(font): pdfmetrics.registerFont(TTFont('Times New Roman',font));pdfmetrics.registerFont(TTFont('Times New Roman Bold',bold)) else: font='Times-Roman';bold='Times-Bold' base='Times New Roman' if os.path.exists('/usr/share/fonts/truetype/msttcorefonts/Times_New_Roman.ttf') else 'Times-Roman' boldbase='Times New Roman Bold' if base=='Times New Roman' else 'Times-Bold' pdfpath=os.path.join(out,'MIDAS_2026_Abstract_Nithya_Shree_M_UNSIGNED_FOR_HOD_SIGNATURE.pdf') d=SimpleDocTemplate(pdfpath,pagesize=A4,rightMargin=inch,leftMargin=inch,topMargin=inch,bottomMargin=inch) normal=ParagraphStyle('n',fontName=base,fontSize=12,leading=12,spaceAfter=0) center=ParagraphStyle('c',parent=normal,alignment=TA_CENTER) story=[Paragraph('<b>MIDAS 2026 - ABSTRACT SUBMISSION</b>',center),Spacer(1,4),Paragraph('<b>'+title+'</b>',center),Spacer(1,5)] data=[] for l,v in rows:data.append([Paragraph('<b>'+l+':</b>',normal),Paragraph(v,normal)]) tab=Table(data,colWidths=[2*inch,4.25*inch],hAlign='LEFT');tab.setStyle(TableStyle([('VALIGN',(0,0),(-1,-1),'TOP'),('LEFTPADDING',(0,0),(-1,-1),0),('RIGHTPADDING',(0,0),(-1,-1),0),('TOPPADDING',(0,0),(-1,-1),0),('BOTTOMPADDING',(0,0),(-1,-1),0)]));story += [tab,Spacer(1,4)] body_html=body.replace('\n\n','<br/><br/>') story += [Paragraph('<b>Abstract:</b> '+body_html,normal),Spacer(1,3),Paragraph('<b>Keywords:</b> PETG orthodontic aligners; microplastic release; surface roughness; cleaning protocols; Raman spectroscopy.',normal),Spacer(1,12),Paragraph('Reviewed and countersigned by Head of the Department: ____________________________',normal),Paragraph('<i>Name, signature and official seal of HOD</i>',normal)] d.build(story) print('body word count:',len(words));print(path);print(pdfpath) PY && python3 - <<'PY' from docx import Document from pypdf import PdfReader import os base='/tmp/workspace/midas_abstract/output' docx=os.path.join(base,'MIDAS_2026_Abstract_Nithya_Shree_M.docx') pdf=os.path.join(base,'MIDAS_2026_Abstract_Nithya_Shree_M_UNSIGNED_FOR_HOD_SIGNATURE.pdf') d=Document(docx); print('DOCX paragraphs:',len(d.paragraphs),'size:',os.path.getsize(docx));r=PdfReader(pdf); print('PDF pages:',len(r.pages),'size:',os.path.getsize(pdf));print((r.pages[0].extract_text() or '')[-400:]) PY
mkdir -p "/tmp/workspace/midas_abstract/output"; python3 - <<'PY' from docx import Document from docx.shared import Inches, Pt from docx.enum.text import WD_ALIGN_PARAGRAPH from docx.enum.table import WD_TABLE_ALIGNMENT, WD_CELL_VERTICAL_ALIGNMENT from docx.oxml import OxmlElement from docx.oxml.ns import qn from reportlab.lib.pagesizes import A4 from reportlab.lib.units import inch from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle from reportlab.lib.styles import ParagraphStyle from reportlab.lib.enums import TA_CENTER import os, re out='/tmp/workspace/midas_abstract/output' title='Effect of Six Cleaning Protocols on Surface Degradation and Microplastic Release from PETG Orthodontic Aligners: An In Vitro Comparative Study' body=("Objectives: Repeated mechanical and chemical cleaning of PETG orthodontic aligners may alter surface integrity and promote particle release. This study will compare six clinically relevant cleaning protocols for their effects on surface roughness and microplastic release, and assess the relation between these outcomes.\n\nMethods: Sixty PETG aligners (Erkodur 1.0 mm) will be randomly allocated to six groups (n=10): distilled water, dry toothbrush, 1450-ppm sodium-fluoride toothpaste with toothbrush, sodium perborate effervescent tablets, 0.12% chlorhexidine gluconate, and ultrasonic cleaning. Each protocol will be applied twice daily for 14 days (28 cycles). Surface roughness (Ra, µm) will be measured before and after treatment using a stylus profilometer; change in roughness (ΔRa) is the primary outcome. Five specimens per group will undergo field-emission scanning electron microscopy and Raman spectroscopy for surface characterization. Effluent will be vacuum-filtered through 0.45-µm membranes, and retained particles will be characterized by field-emission scanning electron microscopy and Raman spectroscopy. One-way ANOVA with Tukey’s HSD and correlation analysis will be used (p<0.05).\n\nExpected Results: Toothbrushing with fluoride toothpaste is expected to cause the greatest roughness increase and particle release; distilled water and chlorhexidine are expected to cause less alteration. Effervescent tablets and ultrasonic cleaning are expected to show intermediate effects.\n\nConclusion: This study will provide comparative evidence on cleaning-related surface degradation and microplastic release from PETG orthodontic aligners. The findings may inform clinically appropriate aligner-cleaning recommendations and further research on potential microplastic exposure.") assert len(re.findall(r"\b[\w]+(?:[-‑][\w]+)?\b",body))<=250 rows=[('Presenter','Nithya Shree M'),('Institution','Cuddalore Government Dental College'),('Year of Study','Fourth Year BDS'),('MIDAS Registration Number','MIDAS-2026-1547'),('Subject','Orthodontics and Dentofacial Orthopaedics')] # DOCX doc=Document(); sec=doc.sections[0]; sec.top_margin=sec.bottom_margin=sec.left_margin=sec.right_margin=Inches(1) style=doc.styles['Normal']; style.font.name='Times New Roman'; style._element.rPr.rFonts.set(qn('w:eastAsia'),'Times New Roman'); style.font.size=Pt(12); style.paragraph_format.line_spacing=1; style.paragraph_format.space_after=Pt(0) def add_run(p,text,bold=False,italic=False): r=p.add_run(text);r.bold=bold;r.italic=italic;r.font.name='Times New Roman';r._element.rPr.rFonts.set(qn('w:eastAsia'),'Times New Roman');r.font.size=Pt(12);return r p=doc.add_paragraph();p.alignment=WD_ALIGN_PARAGRAPH.CENTER;p.paragraph_format.space_after=Pt(4);add_run(p,'MIDAS 2026 - ABSTRACT SUBMISSION',True) p=doc.add_paragraph();p.alignment=WD_ALIGN_PARAGRAPH.CENTER;p.paragraph_format.space_after=Pt(5);add_run(p,title,True) t=doc.add_table(rows=0,cols=2);t.alignment=WD_TABLE_ALIGNMENT.CENTER;t.autofit=False for l,v in rows: c=t.add_row().cells;c[0].width=Inches(2);c[1].width=Inches(4.5) for cell,text,bold in [(c[0],l+':',True),(c[1],v,False)]: cell.text='';p=cell.paragraphs[0];p.paragraph_format.space_after=Pt(0);p.paragraph_format.line_spacing=1;add_run(p,text,bold);cell.vertical_alignment=WD_CELL_VERTICAL_ALIGNMENT.CENTER tcPr=cell._tc.get_or_add_tcPr();b=OxmlElement('w:tcBorders') for edge in ['top','left','bottom','right','insideH','insideV']: e=OxmlElement('w:'+edge);e.set(qn('w:val'),'nil');b.append(e) tcPr.append(b) p=doc.add_paragraph();p.paragraph_format.space_before=Pt(4);p.paragraph_format.space_after=Pt(0);p.paragraph_format.line_spacing=1;add_run(p,'Abstract: ',True);add_run(p,body.replace('\n\n','\n')) p=doc.add_paragraph();p.paragraph_format.space_before=Pt(3);p.paragraph_format.space_after=Pt(0);p.paragraph_format.line_spacing=1;add_run(p,'Keywords: ',True);add_run(p,'PETG orthodontic aligners; microplastic release; surface roughness; cleaning protocols; Raman spectroscopy.') p=doc.add_paragraph();p.paragraph_format.space_before=Pt(12);p.paragraph_format.space_after=Pt(0);p.paragraph_format.line_spacing=1;add_run(p,'Reviewed and countersigned by Head of the Department: ');add_run(p,'____________________________') p=doc.add_paragraph();p.paragraph_format.space_after=Pt(0);p.paragraph_format.line_spacing=1;add_run(p,'Name, signature and official seal of HOD',italic=True) docx=os.path.join(out,'MIDAS_2026_Abstract_Nithya_Shree_M.docx');doc.save(docx) # PDF pdf=os.path.join(out,'MIDAS_2026_Abstract_Nithya_Shree_M_UNSIGNED_FOR_HOD_SIGNATURE.pdf') d=SimpleDocTemplate(pdf,pagesize=A4,rightMargin=inch,leftMargin=inch,topMargin=inch,bottomMargin=inch) n=ParagraphStyle('n',fontName='Times-Roman',fontSize=12,leading=12,spaceAfter=0);c=ParagraphStyle('c',parent=n,alignment=TA_CENTER) story=[Paragraph('<b>MIDAS 2026 - ABSTRACT SUBMISSION</b>',c),Spacer(1,4),Paragraph('<b>'+title+'</b>',c),Spacer(1,5)] data=[[Paragraph('<b>'+a+':</b>',n),Paragraph(b,n)] for a,b in rows];tab=Table(data,colWidths=[2*inch,4.25*inch]);tab.setStyle(TableStyle([('VALIGN',(0,0),(-1,-1),'TOP'),('LEFTPADDING',(0,0),(-1,-1),0),('RIGHTPADDING',(0,0),(-1,-1),0),('TOPPADDING',(0,0),(-1,-1),0),('BOTTOMPADDING',(0,0),(-1,-1),0)]));story.extend([tab,Spacer(1,4),Paragraph('<b>Abstract:</b> '+body.replace('\n\n','<br/><br/>'),n),Spacer(1,3),Paragraph('<b>Keywords:</b> PETG orthodontic aligners; microplastic release; surface roughness; cleaning protocols; Raman spectroscopy.',n),Spacer(1,12),Paragraph('Reviewed and countersigned by Head of the Department: ____________________________',n),Paragraph('<i>Name, signature and official seal of HOD</i>',n)]) d.build(story) print('body word count',len(re.findall(r"\b[\w]+(?:[-‑][\w]+)?\b",body))) print(docx);print(pdf) PY python3 - <<'PY' from docx import Document from pypdf import PdfReader import os base='/tmp/workspace/midas_abstract/output';docx=base+'/MIDAS_2026_Abstract_Nithya_Shree_M.docx';pdf=base+'/MIDAS_2026_Abstract_Nithya_Shree_M_UNSIGNED_FOR_HOD_SIGNATURE.pdf' print('docx',os.path.getsize(docx),'paragraphs',len(Document(docx).paragraphs)); r=PdfReader(pdf);print('pdf',os.path.getsize(pdf),'pages',len(r.pages));print('has HOD:', 'countersigned' in (r.pages[0].extract_text() or '').lower()) PY
MIDAS 2026 Abstract Nithya Shree M
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MIDAS 2026 Abstract Nithya Shree M UNSIGNED FOR HOD SIGNATURE
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