Results 161 to 170 of about 229,991 (298)

Psychometric evaluation of the Ethiopian National Medical Licensing Examination: evidence from classical and item response theory analyses. [PDF]

BMC Med Educ
Belay LM, Siebeck M, Fischer MR, Berndt M, Sendekie TY.   +4 more
europepmc   +1 more source

Items Analysis of Midterm Exam Test on Difficulty Level and Discrimination Index Based on Bloom Taxonomy: A Case of Junior High School Mathematics Problems

Jurnal Pendidikan MIPA, 2022
Nur Kholifah, Mamik Suhendarti, Hawa Liberna   +2 more
openaire   +1 more source

Electrosynthesis of Bioactive Chemicals, From Ions to Pharmaceuticals

Advanced Functional Materials, EarlyView.
This review discusses recent advances in electrosynthesis for biomedical and pharmaceutical applications. It covers key electrochemical materials enabling precise delivery of ions and small molecules for cellular modulation and disease treatment, alongside catalytic systems for pharmaceutical synthesis.
Gwangbin Lee, Sojin Kim, Myeongeun Lee, Kyoungsuk Jin, Jimin Park   +4 more
wiley   +1 more source

Question format is the best predictor of item discrimination: a multivariable analysis. [PDF]

J Microbiol Biol Educ
Hillsley K.
europepmc   +1 more source

Item response theory and the measurement of deprivation: Evidence from PSELL-3 [PDF]

Item Response Theory (IRT) has recently been proposed as a framework to measure deprivation. It allows deriving a latent measure of deprivation from a set of dichotomous observed items of deprivation and analyzing determinants of deprivation.
Fusco, Alessio, Raileanu Szeles, Monica
core  

The Usability of Item-Total Correlation as the Index of Item Discrimination

Korean Journal of Medical Education, 1970
openaire   +1 more source

Single Solid‐State Ion Channels as Potentiometric Nanosensors

Advanced Functional Materials, EarlyView.
Single gold nanopores functionalized with mixed self‐assembled monolayers act as solid‐state ion channels for direct, selective potentiometric sensing of inorganic ions (Ag⁺). The design overcomes key miniaturization barriers of conventional ion‐selective electrodes by combining low resistivity with suppressed loss of active components, enabling robust
Gergely T. Solymosi, Gyula Jágerszki, Levente Illés, Péter Fürjes, Róbert E. Gyurcsányi   +4 more
wiley   +1 more source

Digital Discovery of Synthesizable Metal−Organic Frameworks via Molecular Dynamics‑Informed, High‑Fidelity Deep Learning

Advanced Functional Materials, EarlyView.
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu, Rui Zheng, Quan Liu, Jianwen Jiang   +3 more
wiley   +1 more source

Evaluating Early Precursors of Academic Skills: Preliminary Validation of a Touchscreen-Based Digital Assessment in Preschoolers. [PDF]

J Intell
Apicerni D, Stievano P, Dawe J, Melogno S, Pezzuti L.   +4 more
europepmc   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source