• Bayesian estimation of the true prevalence of paratuberculosis in Hungarian dairy cattle herds 

      Ozsvari L., Lang Z., Monostori A., Kostoulas P., Fodor I. (2020)
      Paratuberculosis is a chronic incurable disease caused by Mycobacterium avium subsp. paratuberculosis (MAP), which leads to extensive economic losses on dairy farms, and may also pose serious public health risk to the ...
    • Bayesian latent class models to estimate diagnostic test accuracies of COVID-19 tests 

      Hartnack S., Eusebi P., Kostoulas P. (2021)
      [No abstract available]
    • A chance-constrained based stochastic dynamic traffic assignment model: Analysis, formulation and solution algorithms 

      Travis Waller, S.; Ziliaskopoulos, A. K. (2006)
      This paper is concerned with the system optimum-dynamic traffic assignment (SO-DTA) problem when the time-dependent demands are random variables with known probability distributions. The model is a stochastic extension of ...
    • Daring-B: Discontinuation of effective entecavir or tenofovir disoproxil fumarate long-term therapy before HBsAg loss in non-cirrhotic HBeAg-negative chronic hepatitis B 

      Papatheodoridis G.V., Rigopoulou E.I., Papatheodoridi M., Zachou K., Xourafas V., Gatselis N., Hadziyannis E., Vlachogiannakos J., Manolakopoulos S., Dalekos G.N. (2018)
      Background: The remission rates after stopping antivirals in hepatitis B e antigen (HBeAg)-negative chronic hepatitis B (CHB) vary among studies, while reliable predictors of relapse have not been identified. This prospective ...
    • Dietary Inflammatory Index score and prodromal Parkinson's disease incidence: The HELIAD study 

      Balomenos V., Bounou L., Charisis S., Stamelou M., Ntanasi E., Georgiadi K., Mourtzinos I., Tzima K., Anastasiou C.A., Xiromerisiou G., Maraki M., Yannakoulia M., Kosmidis M.H., Dardiotis E., Hadjigeorgiou G., Sakka P., Stefanis L., Scarmeas N. (2022)
      The aim of the present study was to investigate the association of the inflammatory potential of diet with prodromal Parkinson's disease (pPD) probability and incidence among community-dwelling older individuals without ...
    • Dosimetric and radiobiological evaluation of four radiation techniques in preoperative rectal cancer radiotherapy 

      Softa V., Kiouvrekis Y., Makridou A., Kappas C., Kyrgias G., Theodorou K. (2021)
      Purpose: To compare tumour dose distribution, conformality, homogeneity, normal tissue avoidance, tumour control probability (TCP) and normal tissue complication probability (NTCP) using 3D conformal radiation therapy ...
    • Global, regional, and national age-sex-specific mortality and life expectancy, 1950-2017: A systematic analysis for the Global Burden of Disease Study 2017 

      Dicker D., Nguyen G., Abate D., Abate K.H., Abay S.M., Abbafati C., Abbasi N., Abbastabar H., Abd-Allah F., Abdela J., Abdelalim A., Abdel-Rahman O., Abdi A., Abdollahpour I., Abdulkader R.S., Abdurahman A.A., Abebe H.T., Abebe M., Abebe Z., Abebo T.A., Aboyans V., Abraha H.N., Abrham A.R., Abu-Raddad L.J., Abu-Rmeileh N.M.E., Accrombessi M.M.K., Acharya P., Adebayo O.M., Adedeji I.A., Adedoyin R.A., Adekanmbi V., Adetokunboh O.O., Adhena B.M., Adhikari T.B., Adib M.G., Adou A.K., Adsuar J.C., Afarideh M., Afshin A., Agarwal G., Aggarwal R., Aghayan S.A., Agrawal S., Agrawal A., Ahmadi M., Ahmadi A., Ahmadieh H., Ahmed M.L.C.B., Ahmed S., Ahmed M.B., Aichour A.N., Aichour I., Aichour M.T.E., Akanda A.S., Akbari M.E., Akibu M., Akinyemi R.O., Akinyemiju T., Akseer N., Alahdab F., Al-Aly Z., Alam K., Alebel A., Aleman A.V., Alene K.A., Al-Eyadhy A., Ali R., Alijanzadeh M., Alizadeh-Navaei R., Aljunid S.M., Alkerwi A., Alla F., Allebeck P., Allen C.A., Alonso J., Al-Raddadi R.M., Alsharif U., Altirkawi K., Alvis-Guzman N., Amare A.T., Amini E., Ammar W., Amoako Y.A., Anber N.H., Andrei C.L., Androudi S., Animut M.D., Anjomshoa M., Anlay D.Z., Ansari H., Ansariadi A., Ansha M.G., Antonio C.A.T., Appiah S.C.Y., Aremu O., Areri H.A., Ärnlöv J., Arora M., Artaman A., Aryal K.K., Asadi-Lari M., Asayesh H., Asfaw E.T., Asgedom S.W., Assadi R., Ataro Z., Atey T.M.M., Athari S.S., Atique S., Atre S.R., Atteraya M.S., Attia E.F., Ausloos M., Avila-Burgos L., Avokpaho E.F.G.A., Awasthi A., Awuah B., Ayala Quintanilla B.P., Ayele H.T., Ayele Y., Ayer R., Ayuk T.B., Azzopardi P.S., Azzopardi-Muscat N., Badali H., Badawi A., Balakrishnan K., Bali A.G., Banach M., Banstola A., Barac A., Barboza M.A., Barquera S., Barrero L.H., Basaleem H., Bassat Q., Basu A., Basu S., Baune B.T., Bazargan-Hejazi S., Bedi N., Beghi E., Behzadifar M., Behzadifar M., Béjot Y., Bekele B.B., Belachew A.B., Belay A.G., Belay E., Belay S.A., Belay Y.A., Bell M.L., Bello A.K., Bennett D.A., Bensenor I.M., Berhane A., Berman A.E., Bernabe E., Bernstein R.S., Bertolacci G.J., Beuran M., Beyranvand T., Bhala N., Bhatia E., Bhatt S., Bhattarai S., Bhaumik S., Bhutta Z.A., Biadgo B., Bijani A., Bikbov B., Bililign N., Bin Sayeed M.S., Birlik S.M., Birungi C., Bisanzio D., Biswas T., Bjørge T., Bleyer A., Bora Basara B., Bose D., Bosetti C., Boufous S., Bourne R., Brady O.J., Bragazzi N.L., Brant L.C., Brazinova A., Breitborde N.J.K., Brenner H., Britton G., Brugha T., Burke K.E., Busse R., Butt Z.A., Cahuana-Hurtado L., Callender C.S.K.H., Campos-Nonato I.R., Campuzano Rincon J.C., Cano J., Car M., Cárdenas R., Carreras G., Carrero J.J., Carter A., Carvalho F., Castañeda-Orjuela C.A., Castillo Rivas J., Castro F., Catalá-López F., Çavlin A., Cerin E., Chaiah Y., Champs A.P., Chang H.-Y., Chang J.-C., Chattopadhyay A., Chaturvedi P., Chen W., Chiang P.P.-C., Chimed-Ochir O., Chin K.L., Chisumpa V.H., Chitheer A., Choi J.-Y.J., Christensen H., Christopher D.J., Chung S.-C., Cicuttini F.M., Ciobanu L.G., Cirillo M., Claro R.M., Cohen A.J., Collado-Mateo D., Constantin M.-M., Conti S., Cooper C., Cooper L.T., Cortesi P.A., Cortinovis M., Cousin E., Criqui M.H., Cromwell E.A., Crowe C.S., Crump J.A., Cucu A., Cunningham M., Daba A.K., Dachew B.A., Dadi A.F., Dandona L., Dandona R., Dang A.K., Dargan P.I., Daryani A., Das S.K., Das Gupta R., Das Neves J., Dasa T.T., Dash A.P., Davis Weaver N., Davitoiu D.V., Davletov K., Dayama A., de Courten B., De la Hoz F.P., De leo D., De Neve J.-W., Degefa M.G., Degenhardt L., Degfie T.T., Deiparine S., Dellavalle R.P., Demoz G.T., Demtsu B.B., Denova-Gutiérrez E., Deribe K., Dervenis N., Des Jarlais D.C., Dessie G.A., Dey S., Dharmaratne S.D., Dhimal M., Ding E.L., Djalalinia S., Doku D.T., Dolan K.A., Donnelly C.A., Dorsey E.R., Douwes-Schultz D., Doyle K.E., Drake T.M., Driscoll T.R., Dubey M., Dubljanin E., Duken E.E., Duncan B.B., Duraes A.R., Ebrahimi H., Ebrahimpour S., Edessa D., Edvardsson D., Eggen A.E., El Bcheraoui C., El Sayed Zaki M., Elfaramawi M., El-Khatib Z., Ellingsen C.L., Elyazar I.R.F., Enayati A., Endries A.Y.Y., Er B., Ermakov S.P., Eshrati B., Eskandarieh S., Esmaeili R., Esteghamati A., Esteghamati S., Fakhar M., Fakhim H., Farag T., Faramarzi M., Fareed M., Farhadi F., Farid T.A., E Sá Farinha C.S., Farioli A., Faro A., Farvid M.S., Farzadfar F., Farzaei M.H., Fazeli M.S., Feigin V.L., Feigl A.B., Feizy F., Fentahun N., Fereshtehnejad S.-M., Fernandes E., Fernandes J.C., Feyissa G.T., Fijabi D.O., Filip I., Finegold S., Fischer F., Flor L.S., Foigt N.A., Ford J.A., Foreman K.J., Fornari C., Frank T.D., Franklin R.C., Fukumoto T., Fuller J.E., Fullman N., Fürst T., Furtado J.M., Futran N.D., Galan A., Gallus S., Gambashidze K., Gamkrelidze A., Gankpe F.G., Garcia-Basteiro A.L., Garcia-Gordillo M.A., Gebre T., Gebre A.K., Gebregergs G.B., Gebrehiwot T.T., Gebremedhin A.T., Gelano T.F., Gelaw Y.A., Geleijnse J.M., Genova-Maleras R., Gessner B.D., Getachew S., Gething P.W., Gezae K.E., Ghadami M.R., Ghadimi R., Ghasemi Falavarjani K., Ghasemi-Kasman M., Ghiasvand H., Ghimire M., Ghoshal A.G., Gill P.S., Gill T.K., Gillum R.F., Giussani G., Goenka S., Goli S., Gomez R.S., Gomez-Cabrera M.C., Gómez-Dantés H., Gona P.N., Goodridge A., Gopalani S.V., Goto A., Goulart A.C., Goulart B.N.G., Grada A., Grosso G., Gugnani H.C., Guimaraes A.L.S., Guo Y., Gupta P.C., Gupta R., Gupta R., Gupta T., Gyawali B., Haagsma J.A., Hachinski V., Hafezi-Nejad N., Hagos T.B., Hailegiyorgis T.T., Hailu G.B., Haj-Mirzaian A., Haj-Mirzaian A., Hamadeh R.R., Hamidi S., Handal A.J., Hankey G.J., Harb H.L., Harikrishnan S., Haririan H., Haro J.M., Hasan M., Hassankhani H., Hassen H.Y., Havmoeller R., Hay R.J., Hay S.I., He Y., Hedayatizadeh-Omran A., Hegazy M.I., Heibati B., Heidari M., Hendrie D., Henok A., Henry N.J., Heredia-Pi I., Herteliu C., Heydarpour F., Heydarpour P., Heydarpour S., Hibstu D.T., Hoek H.W., Hole M.K., Homaie Rad E., Hoogar P., Horino M., Hosgood H.D., Hosseini S.M., Hosseinzadeh M., Hostiuc S., Hostiuc M., Hotez P.J., Hoy D.G., Hsairi M., Htet A.S., Hu G., Huang J.J., Husseini A., Hussen M.M., Hutfless S., Iburg K.M., Igumbor E.U., Ikeda C.T., Ilesanmi O.S., Iqbal U., Irvani S.S.N., Isehunwa O.O., Islam S.M.S., Islami F., Jahangiry L., Jahanmehr N., Jain R., Jain S.K., Jakovljevic M., James S.L., Javanbakht M., Jayaraman S., Jayatilleke A.U., Jee S.H., Jeemon P., Jha R.P., Jha V., Ji J.S., Johnson S.C., Jonas J.B., Joshi A., Jozwiak J.J., Jungari S.B., Jürisson M., Madhanraj K., Kabir Z., Kadel R., Kahsay A., Kahssay M., Kalani R., Kapil U., Karami M., Karami Matin B., Karch A., Karema C., Karimi N., Karimi S.M., Karimi-Sari H., Kasaeian A., Kassa G.M., Kassa T.D., Kassa Z.Y., Kassebaum N.J., Katibeh M., Katikireddi S.V., Kaul A., Kawakami N., Kazemeini H., Kazemi Z., Kazemi Karyani A., Prakash K.C., Kebede S., Keiyoro P.N., Kemp G.R., Kengne A.P., Keren A., Kereselidze M., Khader Y.S., Khafaie M.A., Khajavi A., Khalid N., Khalil I.A., Khan E.A., Khan G., Khan M.S., Khan M.A., Khang Y.-H., Khanna T., Khater M.M., Khatony A., Khazaie H., Khoja A.T., Khosravi A., Khosravi M.H., Khubchandani J., Kiadaliri A.A., Kibret G.D.D., Kim C.-I., Kim D., Kim J.Y., Kim Y.-E., Kimokoti R.W., Kinfu Y., Kinra S., Kisa A., Kissimova-Skarbek K., Kissoon N., Kivimäki M., Kleber M.E., Knibbs L.D., Knudsen A.K.S., Kochhar S., Kokubo Y., Kolola T., Kopec J.A., Kosek M.N., Kosen S., Koul P.A., Koyanagi A., Kravchenko M.A., Krishan K., Krishnaswami S., Kuate Defo B., Kucuk Bicer B., Kudom A.A., Kuipers E.J., Kulikoff X.R., Kumar G.A., Kumar M., Kumar P., Kumsa F.A., Kutz M.J., Lad S.D., Lafranconi A., Lal D.K., Lalloo R., Lam H., Lami F.H., Lan Q., Langan S.M., Lansingh V.C., Lansky S., Larson H.J., Laryea D.O., Lassi Z.S., Latifi A., Lavados P.M., Laxmaiah A., Lazarus J.V., Lebedev G., Lee P.H., Leigh J., Leshargie C.T., Leta S., Levi M., Li S., Li Y., Li X., Liang J., Liang X., Liben M.L., Lim L.-L., Lim S.S., Limenih M.A., Linn S., Liu S., Liu Y., Lodha R., Logroscino G., Lonsdale C., Lorch S.A., Lorkowski S., Lotufo P.A., Lozano R., Lucas T.C.D., Lunevicius R., Lyons R.A., Ma S., Mabika C., Macarayan E.R.K., Mackay M.T., Maddison E.R., Maddison R., Madotto F., Magdy Abd El Razek H., Magdy Abd El Razek M., Maghavani D.P., Majdan M., Majdzadeh R., Majeed A., Malekzadeh R., Malik M.A., Malta D.C., Mamun A.A., Manamo W.A., Manda A.-L., Mansournia M.A., Mantovani L.G., Mapoma C.C., Marami D., Maravilla J.C., Marcenes W., Marina S., Martinez-Raga J., Martins S.C.O., Martins-Melo F.R., März W., Marzan M.B., Mashamba-Thompson T.P., Masiye F., Massenburg B.B., Maulik P.K., Mazidi M., McGrath J.J., McKee M., Mehata S., Mehendale S.M., Mehndiratta M.M., Mehrotra R., Mehta K.M., Mehta V., Mekonen T., Mekonnen T.C., Meles H.G., Meles K.G., Melese A., Melku M., Memiah P.T.N., Memish Z.A., Mendoza W., Mengistu D.T., Mengistu G., Mensah G.A., Mereta S.T., Meretoja A., Meretoja T.J., Mestrovic T., Mezgebe H.B., Miangotar Y., Miazgowski B., Miazgowski T., Miller T.R., Mini G.K., Mirica A., Mirrakhimov E.M., Misganaw A.T., Moazen B., Moges N.A., Mohammad K.A., Mohammadi M., Mohammadifard N., Mohammadi-Khanaposhtani M., Mohammadnia-Afrouzi M., Mohammed S., Mohammed M.A., Mohan V., Mokdad A.H., Molokhia M., Monasta L., Moradi G., Moradi M., Moradi-Lakeh M., Moradinazar M., Moraga P., Morawska L., Moreno Velásquez I., Morgado-Da-costa J., Morrison S.D., Mosapour A., Moschos M.M., Mousavi S.M., Muche A.A., Muchie K.F., Mueller U.O., Mukhopadhyay S., Mullany E.C., Muller K., Murhekar M., Murphy T.B., Murthy G.V.S., Murthy S., Musa J., Musa K.I., Mustafa G., Muthupandian S., Nachega J.B., Nagel G., Naghavi M., Naheed A., Nahvijou A., Naik G., Nair S., Najafi F., Nangia V., Nansseu J.R., Nascimento B.R., Nawaz H., Ncama B.P., Neamati N., Negoi I., Negoi R.I., Neupane S., Newton C.R.J., Ngalesoni F.N., Ngunjiri J.W., Nguyen H.T., Nguyen H.T., Nguyen L.H., Nguyen M., Nguyen T.H., Ningrum D.N.A., Nirayo Y.L., Nisar M.I., Nixon M.R., Nolutshungu N., Nomura S., Norheim O.F., Noroozi M., Norrving B., Noubiap J.J., Nouri H.R., Nourollahpour Shiadeh M., Nowroozi M.R., Nsoesie E.O., Nyasulu P.S., Ofori-Asenso R., Ogah O.S., Ogbo F.A., Oh I.-H., Okoro A., Oladimeji O., Olagunju A.T., Olagunju T.O., Olivares P.R., Olusanya B.O., Olusanya J.O., Ong S.K., Opio J.N., Oren E., Ortiz J.R., Ortiz A., Ota E., Otstavnov S.S., Øverland S., Owolabi M.O., Oyekale A.S., Mahesh P.A., Pacella R., Pakhale S., Pakhare A.P., Pana A., Panda B.K., Panda-Jonas S., Pandey A.R., Pandian J.D., Parisi A., Park E.-K., Parry C.D.H., Parsian H., Patel S., Patle A., Patten S.B., Patton G.C., Paudel D., Pearce N., Peprah E.K., Pereira A., Pereira D.M., Perez K.M., Perico N., Pervaiz A., Pesudovs K., Petri W.A., Petzold M., Phillips M.R., Pigott D.M., Pillay J.D., Pirsaheb M., Pishgar F., Plass D., Polinder S., Pond C.D., Popova S., Postma M.J., Pourmalek F., Pourshams A., Poustchi H., Prabhakaran D., Prakash V., Prakash S., Prasad N., Qorbani M., Quistberg D.A., Radfar A., Rafay A., Rafiei A., Rahim F., Rahimi K., Rahimi-Movaghar A., Rahimi-Movaghar V., Rahman M., Ur Rahman M.H., Rahman M.A., Ur Rahman S., Rai R.K., Rajati F., Rajsic S., Raju S.B., Ram U., Ranabhat C.L., Ranjan P., Ranta A., Rasella D., Rawaf D.L., Rawaf S., Ray S.E., Razo-García C., Rego M.A.S., Rehm J., Reiner R.C., Reinig N., Reis C., Remuzzi G., Renzaho A.M.N., Resnikoff S., Rezaei S., Rezaeian S., Rezai M.S., Riahi S.M., Ribeiro A.L.P., Riojas H., Rios-Blancas M.J., Roba K.T., Robinson S.R., Roever L., Ronfani L., Roshandel G., Roshchin D.O., Rostami A., Rothenbacher D., Rubagotti E., Ruhago G.M., Saadat S., Sabde Y.D., Sachdev P.S., Saddik B., Sadeghi E., Saeedi Moghaddam S., Safari H., Safari Y., Safari-Faramani R., Safdarian M., Safi S., Safiri S., Sagar R., Sahebkar A., Sahraian M.A., Sajadi H.S., Salahshoor M., Salam N., Salama J.S., Salamati P., Saldanha R.F., Salimi Y., Salimzadeh H., Salz I., Sambala E.Z., Samy A.M., Sanabria J., Sanchez-Niño M.D., Santos I.S., Santos J.V., Santric Milicevic M.M., Sao Jose B.P., Sardana M., Sarker A.R., Sarrafzadegan N., Sartorius B., Sarvi S., Sathian B., Satpathy M., Savic M., Sawant A.R., Sawhney M., Saxena S., Sayyah M., Scaria V., Schaeffner E., Schelonka K., Schmidt M.I., Schneider I.J.C., Schöttker B., Schutte A.E., Schwebel D.C., Schwendicke F., Scott J.G., Sekerija M., Sepanlou S.G., Serván-Mori E., Shabaninejad H., Shackelford K.A., Shafieesabet A., Shaheen A.A., Shaikh M.A., Shakir R.A., Shams-Beyranvand M., Shamsi M., Shamsizadeh M., Sharafi H., Sharafi K., Sharif M., Sharif-Alhoseini M., Sharma M., Sharma J., Sharma R., She J., Sheikh A., Sheth K.N., Shi P., Shibuya K., Shifa G.T., Shiferaw M.S., Shigematsu M., Shiri R., Shirkoohi R., Shiue I., Shokraneh F., Shrime M.G., Shukla S.R., Si S., Siabani S., Siddiqi T.J., Sigfusdottir I.D., Sigurvinsdottir R., Silpakit N., Silva D.A.S., Silva J.P., Silveira D.G.A., Singam N.S.V., Singh J.A., Singh V., Sinha A.P., Sinha D.N., Sitas F., Skirbekk V., Sliwa K., Soares Filho A.M., Sobaih B.H., Sobhani S., Soofi M., Soriano J.B., Soyiri I.N., Sposato L.A., Sreeramareddy C.T., Srinivasan V., Srivastava R.K., Starodubov V.I., Stathopoulou V., Steel N., Stein D.J., Steiner C., Stewart L.G., Stokes M.A., Sudaryanto A., Sufiyan M.B., Sulo G., Sunguya B.F., Sur P.J., Sutradhar I., Sykes B.L., Sylaja P.N., Sylte D.O., Szoeke C.E.I., Tabarés-Seisdedos R., Tabuchi T., Tadakamadla S.K., Takahashi K., Tandon N., Tassew A.A., Tassew S.G., Tavakkoli M., Taveira N., Tawye N.Y., Tehrani-Banihashemi A., Tekalign T.G., Tekle M.G., Temesgen H., Temsah M.-H., Temsah O., Terkawi A.S., Teshale M.Y., Tessema B., Teweldemedhin M., Thakur J.S., Thankappan K.R., Thirunavukkarasu S., Thomas L.A., Thomas N., Thrift A.G., Tilahun B., To Q.G., Tobe-Gai R., Tonelli M., Topor-Madry R., Topouzis F., Torre A.E., Tortajada-Girbés M., Tovani-Palone M.R., Towbin J.A., Tran B.X., Tran K.B., Tripathi S., Tripathy S.P., Truelsen T.C., Truong N.T., Tsadik A.G., Tsilimparis N., Tudor Car L., Tuzcu E.M., Tyrovolas S., Ukwaja K.N., Ullah I., Usman M.S., Uthman O.A., Uzun S.B., Vaduganathan M., Vaezi A., Vaidya G., Valdez P.R., Varavikova E., Varughese S., Vasankari T.J., Vasconcelos A.M.N., Venketasubramanian N., Vidavalur R., Villafaina S., Violante F.S., Vladimirov S.K., Vlassov V., Vollset S.E., Vos T., Vosoughi K., Vujcic I.S., Wagner G.R., Wagnew F.W.S., Waheed Y., Wang Y., Wang Y.-P., Wassie M.M., Weiderpass E., Weintraub R.G., Weiss D.J., Weiss J., Weldegebreal F., Weldegwergs K.G., Werdecker A., Westerman R., Whiteford H.A., Widecka J., Widecka K., Wijeratne T., Winkler A.S., Wiysonge C.S., Wolfe C.D.A., Wondemagegn S.A., Wu S., Wyper G.M.A., Xu G., Yadav R., Yakob B., Yamada T., Yan L.L., Yano Y., Yaseri M., Yasin Y.J., Ye P., Yearwood J.A., Yentür G.K., Yeshaneh A., Yimer E.M., Yip P., Yisma E., Yonemoto N., Yoon S.-J., York H.W., Yotebieng M., Younis M.Z., Yousefifard M., Yu C., Zachariah G., Zadnik V., Zafar S., Zaidi Z., Zaman S.B., Zamani M., Zare Z., Zeeb H., Zeleke M.M., Zenebe Z.M., Zerfu T.A., Zhang K., Zhang X., Zhou M., Zhu J., Zodpey S., Zucker I., Zuhlke L.J.J., Lopez A.D., Gakidou E., Murray C.J.L., GBD 2017 Mortality Collaborators (2018)
      Background: Assessments of age-specifc mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Afairs (UNPOP), the United States Census Bureau, WHO, and as part of ...
    • Hidden neural networks for transmembrane protein topology prediction 

      Tamposis I.A., Sarantopoulou D., Theodoropoulou M.C., Stasi E.A., Kontou P.I., Tsirigos K.D., Bagos P.G. (2021)
      Hidden Markov Models (HMMs) are amongst the most successful methods for predicting protein features in biological sequence analysis. However, there are biological problems where the Markovian assumption is not sufficient ...
    • High resolution computed tomography findings on the lung of early breast-cancer patients treated by postoperative breast irradiation with a hypofractionated radiotherapy schedule 

      Plataniotis, G. A.; Theofanopoulou, M. E.; Sotiriadou, K.; Vlychou, M.; Fountoulis, G. A.; Fezoulidis, J. (2005)
      BACKGROUND: Hypofractionated breast radiotherapy (RT), although convenient for patients and health care systems, could have a negative impact on normal tissues such as lung. AIM: To evaluate radiation-induced lung toxicity ...
    • Higher probability of prodromal Parkinson disease is related to lower cognitive performance 

      Bougea A., Maraki M.I., Yannakoulia M., Stamelou M., Xiromerisiou G., Kosmidis M.H., Ntanasi E., Dardiotis E., Hadjigeorgiou G.M., Sakka P., Anastasiou C.A., Stefanis L., Scarmeas N. (2019)
      ObjectiveGiven the limited information on cognitive function before Parkinson disease (PD) clinical onset in the general population, we sought to assess prodromal PD (pPD) probability and relate it to detailed cognitive ...
    • Identification of patients with embolic stroke of undetermined source and low risk of new incident atrial fibrillation: The AF-ESUS score 

      Ntaios G., Perlepe K., Lambrou D., Sirimarco G., Strambo D., Eskandari A., Karagkiozi E., Vemmou A., Korompoki E., Manios E., Makaritsis K., Vemmos K., Michel P. (2021)
      Background and aims: Only a minority of patients with Embolic Stroke of Undetermined Source (ESUS) receive prolonged cardiac monitoring despite current recommendations. The identification of ESUS patients who have low ...
    • Influence of variability of material mechanical properties on seismic performance of steel and steel–concrete composite structures 

      Badalassi M., Braconi A., Cajot L.-G., Caprili S., Degee H., Gündel M., Hjiaj M., Hoffmeister B., Karamanos S.A., Salvatore W., Somja H. (2017)
      Modern standards for constructions in seismic zones allow the construction of buildings able to dissipate the energy of the seismic input through an appropriate location of cyclic plastic deformations involving the largest ...
    • Joint modelling of flood peaks and volumes: A copula application for the Danube River 

      Papaioannou G., Kohnová S., Bacigál T., Szolgay J., Hlavčová K., Loukas A. (2016)
      Flood frequency analysis is usually performed as a univariate analysis of flood peaks using a suitable theoretical probability distribution of the annual maximum flood peaks or peak over threshold values. However, other ...
    • Late life psychotic features in prodromal Parkinson's disease 

      Pachi I., Maraki M.I., Giagkou N., Kosmidis M.H., Yannakoulia M., Dardiotis E., Hadjigeorgiou G., Sakka P., Ntanasi E., Xiromerisiou G., Stamelou M., Scarmeas N., Stefanis L. (2021)
      Introduction: Some case series have suggested that psychotic features could occur even before the onset of motor symptoms of Parkinson's Disease (PD). Our aim was to investigate a possible association between psychotic ...
    • Life table assay of field-caught mediterranean fruit flies, ceratitis capitata, reveals age bias 

      Kouloussis, N. A.; Papadopoulos, N. T.; Müller, H. G.; Wang, J. L.; Mao, M.; Katsoyannos, B. I.; Duyck, P. F.; Carey, J. R. (2009)
      Though traps are used widely to sample phytophagous insects for research or management purposes, and recently in aging research, possible bias stemming from differential response of individuals of various ages to traps has ...
    • Mapping the optimal forest road network based on the multicriteria evaluation technique: the case study of Mediterranean Island of Thassos in Greece 

      Tampekis S., Sakellariou S., Samara F., Sfougaris A., Jaeger D., Christopoulou O. (2015)
      The sustainable management of forest resources can only be achieved through a well-organized road network designed with the optimal spatial planning and the minimum environmental impacts. This paper describes the spatial ...
    • Measuring the Effect of Economic Growth on Countries’ Environmental Efficiency: A Conditional Directional Distance Function Approach 

      Halkos G.E., Managi S. (2017)
      Using a recently developed probabilistic approach of a conditional directional distance function, we measure the effect of economic growth on countries’ environmental efficiency in carbon dioxide emissions for a sample of ...
    • Mediterranean diet adherence is related to reduced probability of prodromal Parkinson's disease 

      Maraki M.I., Yannakoulia M., Stamelou M., Stefanis L., Xiromerisiou G., Kosmidis M.H., Dardiotis E., Hadjigeorgiou G.M., Sakka P., Anastasiou C.A., Simopoulou E., Scarmeas N. (2019)
      Background: The International Parkinson and Movement Disorder Society recently introduced a methodology for probability score calculation for prodromal PD. Objectives: To assess the probability of prodromal PD in an older ...
    • Modelling Human Brucellosis Based on Infection Rate and Vaccination Coverage of Sheep and Goats 

      Dougas G., Katsiolis A., Linou M., Kostoulas P., Billinis C. (2022)
      In this study, the vaccination coverage, serological sampling and infection rate of sheep and goats were evaluated as predictors for the modeling of human brucellosis in Greece. The human bru-cellosis disease frequency per ...
    • Motor function and the probability of prodromal Parkinson's disease in older adults 

      Maraki M.I., Stefanis L., Yannakoulia M., Kosmidis M.H., Xiromerisiou G., Dardiotis E., Hadjigeorgiou G.M., Sakka P., Scarmeas N., Stamelou M. (2019)
      Background: Identification and characterization of Parkinson's disease (PD) in its prodromal stage is crucial. Objective: The objective of this study was to investigate the association between motor function and the ...