Muayyad Ahmad- Professor
- Professor (Full) at University of Jordan
Muayyad Ahmad
- Professor
- Professor (Full) at University of Jordan
AI in HealthCare research, Teaching statistics, research, measurement, and supervising > 35 theses and dissertations.
About
410
Publications
1,295,307
Reads
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8,074
Citations
Introduction
- Mindfulness-Based Intervention on Perceived Stress, Anxiety, and Depression
- Advance Statistical analysis such as Big data, artificial intelligence in health, CFA, Mediation and Moderation testing
- Patients' experience in intensive care units.
- Virtual Reality as an intervention among patient with cancer
- Awareness about cancer in Jordan
- Internet Addiction Among University Students
Current institution
Additional affiliations
September 2000 - March 2016
July 2007 - July 2008
August 1996 - September 2000
Education
August 1996 - August 2000
September 1989 - June 1992
September 1982 - June 1986
Publications
Publications (410)
Background:
There is a gap in the literature regarding learning outcomes linked to the use of high-fidelity simulators compared to that of traditional teaching methods.
Aim:
To examine the effect of using high-fidelity simulators on knowledge and skills acquisition and retention with university students.
Methods:
A randomized two-arm trial usi...
Internet addiction is a significant international mental health problem among university students. The purpose of the current study was to investigate the correlation of Internet addiction with university students' characteristics in Jordan using a descriptive, correlational, cross-sectional design. The Internet Addiction Test, Beck Depression Inve...
Purpose
This review aims to summarize and evaluate the most accurate machine-learning algorithm used to predict ischemic heart disease.
Methods
This systematic review was performed following PRISMA guidelines. A comprehensive search was carried out using multiple databases such as Science Direct, PubMed\ MEDLINE, CINAHL, and IEEE explore.
Results...
Objectives : This study aimed to 1) Assess the effects of implementing the initial
assessment and management practices of the Adult Trauma Clinical Practice
Guidelines (ATCPGs) on the outcomes of multiple trauma patients and healthcare
providers in the emergency department (ED) and hospital; 2) Evaluate the effects of
implementing the ATCPGs on mis...
Keywords: Ante-and postnatal care Barriers to breastfeeding Exclusive breastfeeding Health belief model Initiation of breastfeeding Prelacteal feed A B S T R A C T Breastfeeding initiation and exclusivity are essential in reducing maternal and neonatal mortality and morbidity rates. Employing the Health Belief Model as a framework, this cross-secti...
Background
Multiple sclerosis is a debilitating, chronic neurological disease with diverse symptoms. Fatigue is a major aspect of this, impacting negatively on physical functioning, productivity, general well-being and health-related quality of life (HRQoL).
Aim
To expose the relationship between fatigue and HRQoL in this clinical population in Sa...
Background Despite a substantial reduction in the use of solid fuels for cooking worldwide, exposure to household air pollution (HAP) remains a leading global risk factor, contributing considerably to the burden of disease. We present a comprehensive analysis of spatial patterns and temporal trends in exposure and attributable disease from 1990 to...
Background
Despite a substantial reduction in the use of solid fuels for cooking worldwide, exposure to household air pollution (HAP) remains a leading global risk factor, contributing considerably to the burden of disease. We present a comprehensive analysis of spatial patterns and temporal trends in exposure and attributable disease from 1990 to...
Summary
Background: Overweight and obesity is a global epidemic. Forecasting future trajectories of the epidemic is crucial for providing an evidence base for policy change. In this study, we examine the historical trends of the global, regional, and national prevalence of adult overweight and obesity from 1990 to 2021 and forecast the future traje...
Background Despite the well documented consequences of obesity during childhood and adolescence and future risks of excess body mass on non-communicable diseases in adulthood, coordinated global action on excess body mass in early life is still insufficient. Inconsistent measurement and reporting are a barrier to specific targets, resource allocati...
Background
Overweight and obesity is a global epidemic. Forecasting future trajectories of the epidemic is crucial for providing an evidence base for policy change. In this study, we examine the historical trends of the global, regional, and national prevalence of adult overweight and obesity from 1990 to 2021 and forecast the future trajectories t...
Objective
This study aimed to compare the incidence of breast cancer-related lymphedema (BCRL) between a control group and women with breast cancer who underwent complete decongestive therapy (CDT). Moreover, the quality of life (QOL) was assessed and compared between the intervention group receiving CDT and the control group.
Materials and Method...
Objectives: This study investigated the factors influencing Intensive Care Unit (ICU) nurses' use of physical restraints. These factors included the nurses' knowledge, attitudes towards restraints, and their work environment. Methodology: Researchers employed a descriptive predictive design. They recruited a convenience sample of 145 ICU nurses wor...
Background and aim: Worldwide, coronary heart disease (CHD) is the main cause of death. To prevent heart disease and save lives, this study uses a machine learning algorithm (MLA), a subfield of artificial intelligence, to predict death vs. life outcomes among older persons with CHD. Methods: Large-scale data was retrieved from the electronic healt...
b>Background and aim: Worldwide, coronary heart disease (CHD) is the main cause of death. To prevent heart disease and save lives, this study uses a machine learning algorithm (MLA), a subfield of artificial intelligence, to predict death vs. life outcomes among older persons with CHD.
Methods: Large-scale data was retrieved from the electronic hea...
The purpose of this study was to examine the effect of self-efficacy on the implementationof the adult trauma clinical practice guidelines (ATCPGs) on improving trauma patientoutcomes, including missed injuries, and ED LOS. Nurses’ and physicians’ self-efficacy inperforming ATCPGs skills were evaluated three months prior to and three months after t...
Chemical, Biological, Radiological or Nuclear and Explosive (CBRNe) disasters have historically caused significant fatalities and posed global threats. The inadequate preparedness of hospital equipment for CBRNe incidents underscores the urgent need for hospitals to modernize and standardize their equipment to effectively manage these high-risk sit...
Supplement to: GBD 2021 Tobacco Forecasting Collaborators. Forecasting the
effects of smoking prevalence scenarios on years of life lost and life expectancy from 2022 to 2050: a systematic analysis for the Global Burden of Disease Study 2021.Lancet Public Health 2024; 9: e729–44.
Appendix 3: Authorship appendix to “Forecasting the effects of
smokin...
Background :
Smoking is the leading behavioural risk factor for mortality globally, accounting for more than 175 million deaths and nearly 4·30 billion years of life lost (YLLs) from 1990 to 2021. The pace of decline in smoking prevalence has slowed in recent years for many countries, and although strategies have recently been proposed to achieve t...
Up-to-date estimates of stroke burden and attributable risks and their trends at global, regional, and national levels are essential for evidence-based health care, prevention, and resource allocation planning. We aimed to provide such estimates for the period 1990–2021. We estimated incidence, prevalence, death, and disability-adjusted life-year (...
Background: Up-to-date estimates of stroke burden and attributable risks and their trends at global, regional, and national levels are essential for evidence-based health care, prevention, and resource allocation planning. We aimed to provide such estimates for the period 1990–2021.
Methods: We estimated incidence, prevalence, death, and disabilit...
b>Background: Cardiovascular health and preventative strategies are influenced by the sex of the individuals. To forecast cardiac events or detect ischemic heart disease (IHD) early, machine-learning algorithms can analyze complex patient data patterns. Early detection allows for lifestyle changes, medication management, or invasive treatments to s...
Background
The Jordanian healthcare system has evolved over the past decades expanding its services, technological, and educational resources. A comprehensive view of this system is lacking. The objective of this report is to describe the structure of the Jordanian healthcare system, the challenges facing it, and the current and recommended health...
Background: One of the most complicated cardiovascular diseases in the world is heart attack. Since men are the most likely to develop cardiac diseases, accurate prediction of these conditions can help save lives in this population. This study proposed the Chi-Squared Automated Interactive Detection (CHAID) model as a prediction algorithm to foreca...
Pakistan, a country facing significant healthcare challenges, is witnessing a transformation through the efforts of the Pakistan Employees Social Security Institution (PESSI). This article explores the pivotal role of PESSI in providing comprehensive healthcare and social security to low-income workers and their families. Highlighting the achieveme...
Patient safety education is often implicit in undergraduate nursing curricula, making it harder to meet competency standards. The Attitudes to Patient Safety Questionnaire (APSQ-III), which was developed in 2009 by Carruthers and collaborators in the United Kingdom, examines patient safety on a more sophisticated system level and has the potential...
This study aims to review and critique the definitions of Advanced Practice Nursing (APN) in the literature. This systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Following the methodology of Arksey and O’mllay, four electronic databases were searched between 19...
The treatment of pain and anxiety in cancer patients includes
both pharmaceutical and non-pharmacological approaches. The
researchers of this study aimed to compare the effectiveness of
morphine versus Tramal with virtual reality therapy (VR) in reducing
pain and anxiety in female patients with breast cancer. The
sample was composed of 80 women wit...
Summary
Background Future trends in disease burden and drivers of health are of great interest to policy makers and the public
at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We
have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injur...
Background Accurate assessments of current and future fertility-including overall trends and changing population age structures across countries and regions-are essential to help plan for the profound social, economic, environmental, and geopolitical challenges that these changes will bring. Estimates and projections of fertility are necessary to i...
This appendix provides detailed information on the methods for the paper “Global fertility in 204 countries and territories, 1950–2021 with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021”
Summary
Background
Future trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injur...
This appendix provides further authorship detail for “Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021.”
This appendix formed part of the original submission and has been peer reviewed. We post it as supplied by the authors.
Supplement to: GBD 2021 Forecast...
b>Background: Young mortality is prevalent among patients with cardiovascular disease (CVD). To develop prediction models for CVD mortality in young adults, it is crucial to assess CVD risks. Early detection of cardiac disorders using machine learning algorithms, a branch of artificial intelligence (AI) is crucial for preventing more damage to coro...
Internet addiction is a significant international mental health problem among
university students. The purpose of the current study was to investigate the correlation of Internet addiction with university students’ characteristics in Jordan
using a descriptive, correlational, cross-sectional design. The Internet Addiction
Test, Beck Depression I...
Background
Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important follow...
Background Accurate assessments of current and future fertility-including overall trends and changing population age structures across countries and regions-are essential to help plan for the profound social, economic, environmental, and geopolitical challenges that these changes will bring. Estimates and projections of fertility are necessary to i...
Background
Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of D...
Purpose
To assess levels and predictive factors of health-related quality of life (HRQOL) among stroke patients.
Methods
The study employed a cross-sectional predictive correlational design. Levels of HRQOL were assessed using the Stroke-Specific Quality of Life (SS-QOL) scale, and the Hospital Anxiety and Depression Scale was employed to assess p...
https://ljkzedo.ba/mgpdf/mg40/22_Mohammad_1684_A.pdf
Aim To assess machine-learning models, their methodological quality , compare their performance, and highlight their limitations. Methods The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) recommendations were applied. Electronic databases Science Direct, MEDLINE thr...
The artificial intelligence (AI) tools are now used in our daily lives. This study aimed to explore the level of awareness, perceived benefits, threats, attitudes, and level of satisfaction with AI tools among individuals with higher education in Asia and Africa. A cross-sectional study was conducted in August 2023. Snowball sampling with a conveni...
https://pubmed.ncbi.nlm.nih.gov/38092509/#full-view-affiliation-41
The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) is a multinational collaborative research study with >10,000 collaborators around the world. GBD generates a time series of summary measures of health, including prevalence, cause-specific mortality (CSMR), years of life lost (YLLs), years lived with disability (YLDs), and disabi...
Background: Patients' discharge from the hospital is considered a crucial transition. Appropriate patient education about their condition and its treatment can reduce adverse events and improve health outcomes. Objective: Identifying high-risk patients for adverse events after hospital discharge and evaluating patient discharge information to ensur...
Aim: We aimed to evaluate early versus delayed removal of the indwelling urethral catheter (IUC) following transurethral resection of prostate (TURP). Methods: In this clinical trial conducted between July 2016 and June 2020, 90 patients underwent TURP were randomized equally into: group A, early IUC removal (24 h), and group B, delayed IUC removal...
Keywords Abstract Artificial intelligence; attitudes; benefits; higher education; reliability; threats; validity. Under the acceleration in the body of information regarding AI technology and the paucity of instruments that assess the views and reactions of consumers, we have constructed this instrument to measure the attitudes, benefits, and threa...
Objectives: Timing of indwelling urethral catheter (IUC) removal following TURP is controversial and mainly depends on individual clinical practice. The aim of this clinical trial to evaluate early vs delayed IUC removal.
Patients and methods: In this clinical trial 90 patients who underwent TURP were prospectively randomized equally into two group...
The majority of Healthcare systems worldwide considered as a vital nerve. Therefore, hospitals and clinics play a significant role in providing healthcare services for a population globally according to their health problems or patient’s needs. Consequently, to improved planning and appropriate response in this area; it is required to have baseline...
This chapter includes background data on the Mexican healthcare system, including regional data, a list of health informatics systems in use, and hospital capacity. Additionally, it provides detailed information about the modern healthcare system, electronic health records, and variations in hospital software and information systems. A policy, guid...
Life-threatening diseases have impacted Jordan's health care system for ten years. Because Jordanians are at danger from these diseases. Jordan has worked hard over the past decade to improve its health care system by extending services and using modern technologies to improve equipment and treatment. The necessity to keep prices down, Jordanians'...
This study aims to review and critique the definitions of Advanced Practice Nursing (APN) in the literature. This systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Following the methodology of Arksey and O'mllay, four electronic databases were searched between 19...
Background:
Many current studies have claimed that the actual risk of heart disease among women is equal to that in men. Using a large machine learning algorithm (MLA) data set to predict mortality in women, data mining techniques have been used to identify significant aspects of variables that help in identifying the primary causes of mortality w...
Purpose: To review and analyze critically the available evidence for Complete Decongestive Therapy Effect on Breast
Cancer Related to Lymphedema. Data Sources: Publications were retrieved from the major database search engines,
included Google scholar, EBSCO host, and PubMed database. The search terms including: “Complete decongestive
therapy (CDT)...
There are many hospitals, clinics, and other medical facilities in Turkey. Modern hospitals with qualified staff can be found in the majority of major cities. Private businesses offer the majority of medical services. The Turkish healthcare system is built on primary healthcare. Primary care clinics (Salk Oca) are located all over the country and p...
Background: This overview of the Ministry of Health's governance structure and the Health Information System (HIS) activities covers the current HIS situation. Purpose: This study describes the e-HIS in Jordan, whether it is standardized across health facilities, how information is used, and the resources needed for such systems to work efficiently...
In recent years, nursing research in Jordan has gained widespread recognition nationally and internationally. When it comes to the Jordanian nursing researchers, the outcome is incredibly outstanding. Jordanian scientists account for 65% of the top 100 rated scientists in the Arab world. All of the 55 researchers (55%) who reside in Jordan are Jord...
Hong Kong's healthcare system is a combination of 12 private and 43 public hospitals, providing over 90 per cent of inpatient service to Hong Kong (Department of Health, 2014). The city has a reputation for providing high quality medical care and has made significant contributions to the field of liver transplantation, including performing the firs...
The healthcare system in Palestine is made up of both governmental and private sectors, which the population of the territory can access (Gordon, 1997). In 1967, the Israeli Military's Health Department of the Civil Administration (HDCA) was given responsibility for overseeing healthcare in the occupied territories. During this time, HDCA received...
Objectives: Big data has revolutionized nursing and health care and raised concerns. This research aims to help nurses understand big
data sets to provide better patient care.
Methods: This study used big data in nursing to improve patient care. Big data in nursing has sparked a global revolution and raised
concerns, but few studies have focused on...
Introduction Development of standardization through unification process improves performance by creating a universal framework enabling mutual experience based on improved process understanding. Discriminating standard, routine and non-routine processes is practical and useful for analyzing process management (Rusjan& Kiauta., 2019). So, it is wort...
BACKGROUND
Many current studies have claimed that the actual risk of heart disease among women is equal to that in men. Using a large machine learning algorithm (MLA) data set to predict mortality in women, data mining techniques have been used to identify significant aspects of variables that help in identifying the primary causes of mortality wit...
b>Background : Nurses are the most qualified judges for quality of nursing care (QNC) because they have the greatest experience with standard care. It is vital to examine QNC from the perspective of nurses who have experience as hospitalized patients or as caregivers in order to perform an accurate assessment of the nursing care that is delivered t...
Questions
Questions (68)
I am asking if this is acceptable in the scientific and professional practice by some journals to include more than 200 authors in one paper. This practice unfortunately is common by some journals and editors! is this ethical, or just to increase the impact factor for the journal and the citation for the authors!!? we have to raise this issue in front of the scientific community so as appropriate action should be taken. one example in a published paper is shown below,,,
Search for Higgs-like particles produced in association with bottom quarks
in proton-antiproton collisions
T. Aaltonen,21 S. Amerio,39a,39b D. Amidei,31 A. Anastassov,15,w A. Annovi,17 J. Antos,12 G. Apollinari,15 J. A. Appel,15
T. Arisawa,51 A. Artikov,13 J. Asaadi,47 W. Ashmanskas,15 B. Auerbach,2 A. Aurisano,47 F. Azfar,38 W. Badgett,15
T. Bae,25 A. Barbaro-Galtieri,26 V. E. Barnes,43 B. A. Barnett,23 P. Barria,41a,41c P. Bartos,12 M. Bauce,39a,39b
F. Bedeschi,41a S. Behari,15 G. Bellettini,41a,41b J. Bellinger,53 D. Benjamin,14 A. Beretvas,15 A. Bhatti,45 K. R. Bland,5
B. Blumenfeld,23 A. Bocci,14 A. Bodek,44 D. Bortoletto,43 J. Boudreau,42 A. Boveia,11 L. Brigliadori,6a,6b
C. Bromberg,32 E. Brucken,21 J. Budagov,13 H. S. Budd,44 K. Burkett,15 G. Busetto,39a,39b P. Bussey,19 P. Butti,41a,41b
A. Buzatu,19 A. Calamba,10 S. Camarda,4 M. Campanelli,28 F. Canelli,11,ee B. Carls,22 D. Carlsmith,53 R. Carosi,41a
S. Carrillo,16,l B. Casal,9,j M. Casarsa,48a A. Castro,6a,6b P. Catastini,20 D. Cauz,48a,48b,48c V. Cavaliere,22 A. Cerri,26,e
L. Cerrito,28,r Y. C. Chen,1 M. Chertok,7 G. Chiarelli,41a G. Chlachidze,15 K. Cho,25 D. Chokheli,13 A. Clark,18
C. Clarke,52 M. E. Convery,15 J. Conway,7 M. Corbo,15,z M. Cordelli,17 C. A. Cox,7 D. J. Cox,7 M. Cremonesi,41a
D. Cruz,47 J. Cuevas,9,y R. Culbertson,15 N. d’Ascenzo,15,v M. Datta,15,hh P. de Barbaro,44 L. Demortier,45 M. Deninno,6a
M. D’Errico,39a,39b F. Devoto,21 A. Di Canto,41a,41b B. Di Ruzza,15,p J. R. Dittmann,5 S. Donati,41a,41b M. D’Onofrio,27
M. Dorigo,48a,48d A. Driutti,48a,48b,48c K. Ebina,51 R. Edgar,31 A. Elagin,11 R. Erbacher,7 S. Errede,22 B. Esham,22
S. Farrington,38 J. P. Fernández Ramos,29 R. Field,16 G. Flanagan,15,t R. Forrest,7 M. Franklin,20 J. C. Freeman,15
H. Frisch,11 Y. Funakoshi,51 C. Galloni,41a,41b A. F. Garfinkel,43 P. Garosi,41a,41c H. Gerberich,22 E. Gerchtein,15
S. Giagu,46a V. Giakoumopoulou,3 K. Gibson,42 C. M. Ginsburg,15 N. Giokaris,3,* P. Giromini,17 V. Glagolev,13
D. Glenzinski,15 M. Gold,34 D. Goldin,47 A. Golossanov,15 G. Gomez,9 G. Gomez-Ceballos,30 M. Goncharov,30
O. González López,29 I. Gorelov,34 A. T. Goshaw,14 K. Goulianos,45 E. Gramellini,6a C. Grosso-Pilcher,11 J. Guimaraes
da Costa,20 S. R. Hahn,15 J. Y. Han,44 F. Happacher,17 K. Hara,49 M. Hare,50 R. F. Harr,52 T. Harrington-Taber,15,m
K. Hatakeyama,5 C. Hays,38 J. Heinrich,40 M. Herndon,53 A. Hocker,15 Z. Hong,47,w W. Hopkins,15,f S. Hou,1
R. E. Hughes,35 U. Husemann,54 M. Hussein,32,cc J. Huston,32 G. Introzzi,41a,41e,41f M. Iori,46a,46b A. Ivanov,7,o
E. James,15 D. Jang,10 B. Jayatilaka,15 E. J. Jeon,25 S. Jindariani,15 M. Jones,43 K. K. Joo,25 S. Y. Jun,10 T. R. Junk,15
M. Kambeitz,24 T. Kamon,25,47 P. E. Karchin,52 A. Kasmi,5 Y. Kato,37,n W. Ketchum,11,ii J. Keung,40 B. Kilminster,15,ee
D. H. Kim,25 H. S. Kim,15,bb J. E. Kim,25 M. J. Kim,17 S. H. Kim,49 S. B. Kim,25 Y. J. Kim,25 Y. K. Kim,11 N. Kimura,51
M. Kirby,15 K. Kondo,51,* D. J. Kong,25 J. Konigsberg,16 A. V. Kotwal,14 M. Kreps,24 J. Kroll,40 M. Kruse,14 T. Kuhr,24
M. Kurata,49 A. T. Laasanen,43 S. Lammel,15 M. Lancaster,28 K. Lannon,35,x G. Latino,41a,41c H. S. Lee,25 J. S. Lee,25
S. Leo,22 S. Leone,41a J. D. Lewis,15 A. Limosani,14,s E. Lipeles,40 A. Lister,18,a Q. Liu,43 T. Liu,15 S. Lockwitz,54
A. Loginov,54 D. Lucchesi,39a,39b A. Luc`a,17,15 J. Lueck,24 P. Lujan,26 P. Lukens,15 G. Lungu,45 J. Lys,26,* R. Lysak,12,d
R. Madrak,15 P. Maestro,41a,41c S. Malik,45 G. Manca,27,b A. Manousakis-Katsikakis,3 L. Marchese,6a,jj F. Margaroli,46a
P. Marino,41a,41d K. Matera,22 M. E. Mattson,52 A. Mazzacane,15 P. Mazzanti,6a R. McNulty,27,i A. Mehta,27 P. Mehtala,21
C. Mesropian,45 T. Miao,15 E. Michielin,39a,39b D. Mietlicki,31 A. Mitra,1 H. Miyake,49 S. Moed,15 N. Moggi,6a
C. S. Moon,25 R. Moore,15,ff,gg M. J. Morello,41a,41d A. Mukherjee,15 Th. Muller,24 P. Murat,15 M. Mussini,6a,6b
J. Nachtman,15,m Y. Nagai,49 J. Naganoma,51 I. Nakano,36 A. Napier,50 J. Nett,47 T. Nigmanov,42 L. Nodulman,2
S. Y. Noh,25 O. Norniella,22 L. Oakes,38 S. H. Oh,14 Y. D. Oh,25 T. Okusawa,37 R. Orava,21 L. Ortolan,4
C. Pagliarone,48a E. Palencia,9,e P. Palni,34 V. Papadimitriou,15 W. Parker,53 G. Pauletta,48a,48b,48c M. Paulini,10 C. Paus,30
T. J. Phillips,14 G. Piacentino,15,q E. Pianori,40 J. Pilot,7 K. Pitts,22 C. Plager,8 L. Pondrom,53 S. Poprocki,15,f
K. Potamianos,26 A. Pranko,26 F. Prokoshin,13,aa F. Ptohos,17,g G. Punzi,41a,41b I. Redondo Fernández,29 P. Renton,38
M. Rescigno,46a F. Rimondi,6a,* L. Ristori,41a,15 A. Robson,19 T. Rodriguez,40 S. Rolli,50,h M. Ronzani,41a,41b R. Roser,15
J. L. Rosner,11 F. Ruffini,41a,41c A. Ruiz,9 J. Russ,10 V. Rusu,15 W. K. Sakumoto,44 Y. Sakurai,51 L. Santi,48a,48b,48c
K. Sato,49 V. Saveliev,15,v A. Savoy-Navarro,15,z P. Schlabach,15 E. E. Schmidt,15 T. Schwarz,31 L. Scodellaro,9
F. Scuri,41a S. Seidel,34 Y. Seiya,37 A. Semenov,13 F. Sforza,41a,41b S. Z. Shalhout,7 T. Shears,27 P. F. Shepard,42
M. Shimojima,49,u M. Shochet,11 I. Shreyber-Tecker,33 A. Simonenko,13 K. Sliwa,50 J. R. Smith,7 F. D. Snider,15
H. Song,42 V. Sorin,4 R. St. Denis,19,* M. Stancari,15 D. Stentz,15,w J. Strologas,34 Y. Sudo,49 A. Sukhanov,15 I. Suslov,13
K. Takemasa,49 Y. Takeuchi,49 J. Tang,11 M. Tecchio,31 P. K. Teng,1 J. Thom,15,f E. Thomson,40 V. Thukral,47
D. Toback,47 S. Tokar,12 K. Tollefson,32 T. Tomura,49 D. Tonelli,15,e S. Torre,17 D. Torretta,15 P. Totaro,39a
M. Trovato,41a,41d F. Ukegawa,49 S. Uozumi,25 F. Vázquez,16,l G. Velev,15 C. Vellidis,15 C. Vernieri,41a,41d M. Vidal,43
R. Vilar,9 J. Vizán,9,dd M. Vogel,34 G. Volpi,17 P. Wagner,40 R. Wallny,15,j S. M. Wang,1 D. Waters,28 W. C. Wester III,15
D. Whiteson,40,c A. B. Wicklund,2 S. Wilbur,7 H. H. Williams,40 J. S. Wilson,31 P. Wilson,15 B. L. Winer,35 P. Wittich,15,f
S. Wolbers,15 H. Wolfmeister,35 T. Wright,31 X. Wu,18 Z. Wu,5 K. Yamamoto,37 D. Yamato,37 T. Yang,15 U. K. Yang,25............................there are more authors
The Publication Manual of the American Psychological Association, Seventh Edition (APA 7) was released recently, what are the new features in this edition? how does it differ from APA 6?
