Multi-sensor monitoring for optimising printing parameters of laser powder bed fusion (L-PBF) processes by Allen Hum Jun Wee, Qing Yang Lu, Truong Do, Ngoc Vu Nguyen, Tuan Tran

“…However, industrial adoption of this technology still requires established methods to ensure its products' quality and optimise its printing parameters, either using in-process monitoring data or post-process characterisation. …”
Get full text

Political Participation, Upsurge in Youths’ Turnout for 2022 Continuous Voters’ Registration and Nigeria’s 2023 Electoral Process by Oluwabanji A. AKELE, Ojo O. ARIYO, Festus O. AJAYI

“…Tables and basic percentages were used for quantitative data analysis, while discourse analysis was used for analysing the content of qualitative data. …”
Get full text

Psychological factors associated with sensory processing sensitivity in caregiving contexts: A protocol for a systematic review and meta-analysis. by Tadgh Connery, Megan Doyle, Mike Murphy, Annalisa Setti

“…Data will be synthesised narratively and, where sufficient data are available, correlational meta-analysis will be conducted using RStudio. …”
Get full text

Exploring the Implementation of Modern Physics Practicum to Enhance the Science Process Skills of Indonesian Physics Education Students by Lutfi Elma Sintiya, Himawan Putranta

“…Purpose – This study aims to analyze the perceptions of Indonesian physics education students in the implementation of modern physics practicums on students' science process skills. Design/methods/approach – The type of research used is descriptive research with a quantitative approach. …”
Get full text

Suppress or Not to Suppress … CRAFT It: A Targeted Metabolomics Case Study Extracting Essential Biomarker Signals Directly from the Full ¹H NMR Spectra of Horse Serum Sa... by James Chen, Ayelet Yablon, Christina Metaxas, Matheus Guedin, Joseph Hu, Kenith Conover, Merrill Simpson, Sarah L. Ralston, Krish Krishnamurthy, István Pelczer

“…<b>Methods</b>: In this study, we introduce a simple alternative processing method using CRAFT (Complete Reduction to Amplitude-Frequency Table), a time-domain (FID) analysis tool which can highlight selected subsets of the spectrum by choice for quantitative analysis. …”
Get full text

Implementation of a sensory modulation intervention in mental health outpatient services: a process evaluation study by Klara Forsberg, Daniel Sutton, Sigrid Stjernswärd, Ulrika Bejerholm, Elisabeth Argentzell

“…Quantitative data were analysed using descriptive statistics and qualitative data were analysed using deductive and inductive content analysis. …”
Get full text

Experience of using non‐specialized unmanned aerial vehicles for aerial surveys in the studies of exogenous geological processes by A. A. Rybchenko, A. V. Kadetova, E. A. Kozyreva, A. A. Yuriev

“…It describes the application of photogrammetry to estimate quantitative parameters of the studied objects, the experience of using UAVs to study flood processes in the Tunka valley (Russia) and erosion structures in the Ulaanbaatar agglomeration (Mongolia). …”
Get full text

Analysis of adaptation processes and anxiety levels of university students staying with earthquake survivor families in state dormitories by İbrahim Dağ, Kadriye Olğaç

“…A total of 108 students participated using the snowball sampling method. Data were collected through a Descriptive Characteristics Form and the Beck Anxiety Scale. …”
Get full text

Modelling of Electrical Discharge Processes for Optimization of Corona-Protection System of High Voltage Rotating Machines Insulation by Andreev A.M., Andreev I.A., Belko V.O., Reznik A.S., Smirnov A.N., Stepanov A.A.

“…The obtained data have practical importance for the development of the optimal technology for manufacturing the system of electrical insulation of the stator winding of high-voltage air-cooled electric machines.…”
Get full text

Improving mental health and well-being of hospital staff: mixed-methods process evaluation of the SEEGEN trial by Bernd Puschner, Maja Stiawa, Martin Peters, Peter Angerer, Felicitas Rapp, Florian Junne, Melanie Genrich-Hasken, Andreas Müller, Imad Maatouk, Madeleine Helaß, Nadine Mulfinger, Harald Gündel

“…This paper presents results of the mixed-methods process evaluation of the SEEGEN (“SEElische GEsundheit am Arbeitsplatz KrankeNhaus) randomised controlled trial. …”
Get full text

The origin and depositional processes of shell layers in the Jurassic Ziliujing Formation in the Sichuan Basin and their influences on petroleum accumulation by Hanyong Bao, Yi Shu, Qiming Wang, Youheng Zheng, Miankun Chen, Yongchao Lu, Haotian Liu, Wei Peng

Get full text

The association between ultra-processed foods intake and the odds of prostate cancer: a case–control study by Melika Mahmoudi-zadeh, Yahya Jalilpiran, Zahra Maghsoudi, Mehran Nouri, Shiva Faghih

“…Along with demographic and anthropometric information data, participant’s dietary intake was assessed using a semi-quantitative food frequency questionnaire. …”
Get full text

Investigating the Prolonged Discharge Process in Pediatric Teaching Hospital of Tehran, Iran: A Cross-Sectional Study by Sodabeh Vatankhah, Azam Choopani, Emir Tahmazi Aghdam, Mohammad Esmaeel Tavakoli, Nasrin Joudyian, Hamideh Nafar

“…This study was conducted using a mixed method. In the quantitative stage, the statistical form was used, the average discharge time in different hospital wards was measured using the stopwatch method, and the data were analyzed using SPSS V. 25 software and descriptive statistics. …”
Get full text

Antecedents of lecturers’ innovative work behavior in a private university: Creative process engagement as a mediator by Moses Soediro, Lieli Suharti, Komala Inggarwati, Andrian Dolfriandra Huruta

“…This study examines the influence of growth mindset, organizational climate, and digital leadership on innovative work behavior, with creative process engagement as a mediating variable. A quantitative approach was employed, involving 200 lecturers from social sciences and humanities faculties at six major private universities in Surabaya, Indonesia. …”
Get full text

Diffusion magnetic resonance imaging data: development of methods and tools for diagnosis and treatment of brain diseases by K. A. Urazova, G. E. Gorlachev, A. P. Chernyaev, A. V. Golanov

“…Since the problem of developing software for diffusion MRI data remains relevant, this review presents our own experience in developing an application as part of a project on creating effective methods for processing diffusion MRI data and modeling white matter tracts.…”
Get full text

Learning new surgical techniques in low and middle income countries, approval processes, and the impact of artificial intelligence by Long Cong Duy Tran, Long Cong Duy Tran, Helal Metwalli, Helal Metwalli, Dat Tien Le, Dat Tien Le, Samuel Amo-Afful, Samuel Amo-Afful, Mario Salib Todry Gerges, Mario Salib Todry Gerges, Hajer Hatim Hassan Ahmed, Hajer Hatim Hassan Ahmed, Dinh Thi Kim Quyen, Dinh Thi Kim Quyen, Abdelrahman Gamil Gad, Abdelrahman Gamil Gad, Phillip Tran, Nguyen Tien Huy, Nguyen Tien Huy, Nguyen Tien Huy

“…However, implementing AI in LMICs faces some challenges, including inadequate resources, financial constraints and ethical issues related to data security and Equitable algorithms. This review compares usual surgical training and approval processes in LMICs and evaluates the promising role of AI to fill existing gaps and compares both approaches in terms of applicability, cost-effectiveness and impact on patient outcomes.…”
Get full text

From archives to AI: Residential property data across three decades in Brunei DarussalamZenodo by Haziq Jamil, Amira Barizah Noorosmawie, Hafeezul Waezz Rabu, Lutfi Abdul Razak

“…Data collection involved manual transcription from archival sources and automated web scraping using programmatic techniques, supported by innovative processing with Large Language Models (LLMs) to codify unstructured text. …”
Get full text

Radiomics capabilities in the interpretation of ultrasound and CT data in patients with chronic kidney disease: A review by Alexandra V. Proskura, Khalil M. Ismailov, Alexander G. Smoleevskiy, Amina I. Salpagarova, Irina N. Bobkova, Andrei M. Shestiuk

“…Radiomics is a promising area of medical image analysis based on the extraction of quantitative features not available in standard visual analysis and the subsequent use of artificial intelligence methods for their processing and interpretation. …”
Get full text

Hierarchical data modeling: A systematic comparison of statistical, tree-based, and neural network approaches by Marzieh Amiri Shahbazi, Nasibeh Azadeh-Fard

“…The evaluation framework integrated quantitative metrics and qualitative factors, including analyses across varying sample sizes, simplified hierarchies, and a separate intensive-care dataset. …”
Get full text

Shelf Life Identification and Quality Analysis of Golden Delicious Apples Based on Hyperspectral Imaging and Near Infrared Spectroscopy by Xin ZHAO, Shuliang ZHENG, Xiaoying NIU, Jiankang CAO, Han CHEN, Zhilei ZHAO

“…Feature variables were extracted from the spectral data of pre-processed hyperspectral images, spectral and texture fusion data of hyperspectral images, and near-infrared spectral data by CARS, and predictive models were established by partial least squares regression (PLSR) and LS-SVM. …”
Get full text