bluuebunny/crossref_metadata_2025_split huggingface dataset:
Beyond traditional note-taking: Comparing the effects of collaboratively-generated versus instructor-provided notes on recall and writing performance
Authors: Fanguy Mik 
Published: February 2025

Note-taking is generally regarded as an effective learning strategy, but it is also cognitively demanding. Students often omit salient information in their notes due to the burden of trying to listen while writing down what they hear. Two alternative forms to traditional note-taking are online collaborative note-taking and instructor-provided notes. The former strategy allows students to work together online in small groups to share the burden of note-taking as well as the benefits of the collaborative document they produce together. The latter strategy involves the course instructor providing students with a complete set of notes, freeing students cognitively to listen and make connections with the lecture content. However, research on these two approaches remains sparse, and thus far, no study has compared their effects on learning performance. Therefore, the present study compared the learning performances of 161 students divided into two treatment conditions within a flipped learning environment: one where students took collaborative notes and another where students received notes provided by the instructor. Quiz scores showed no differences between the two conditions, but measures of both group and individual writing quality were significantly higher in the online collaborative note-taking condition than with the instructor-provided notes.

Implications for practice or policy:

To enhance students’ recall, instructors should provide notes to students.
To bolster students’ ability to collaborate, instructors should have students take online collaborative notes.
To enable students to improve and apply a skill, such as writing, instructors should have students take online collaborative notes.
Data-efficient prediction of OLED optical properties enabled by transfer learning
Authors: Shin Jeong Min , Kim Sanmun , Menabde Sergey G. , Park Sehong , Lee In-Goo , Kim Injue , Jang Min Seok 
Published: February 2025

Abstract
It has long been desired to enable global structural optimization of organic light-emitting diodes (OLEDs) for maximal light extraction. The most critical obstacles to achieving this goal are time-consuming optical simulations and discrepancies between simulation and experiment. In this work, by leveraging transfer learning, we demonstrate that fast and reliable prediction of OLED optical properties is possible with several times higher data efficiency compared to previously demonstrated surrogate solvers based on artificial neural networks. Once a neural network is trained for a base OLED structure, it can be transferred to predict the properties of modified structures with additional layers with a relatively small number of additional training samples. Moreover, we demonstrate that, with only a few tenths of experimental data sets, a neural network can be trained to accurately predict experimental measurements of OLEDs, which often differ from simulation results due to fabrication and measurement errors. This is enabled by transferring a pre-trained network, built with a large amount of simulated data, to a new network capable of correcting systematic errors in experiment. Our work proposes a practical approach to designing and optimizing OLED structures with a large number of design parameters to achieve high optical efficiency.
Electrochemically modulated single-molecule localization microscopy for in vitro imaging cytoskeletal protein structures
Authors: Lei Chenghong , Hu Dehong 
Published: February 2025

Abstract
A new concept of electrochemically modulated single-molecule localization super-resolution imaging is developed. Applications of single-molecule localization super-resolution microscopy have been limited due to insufficient availability of qualified fluorophores with favorable low duty cycles. The key for the new concept is that the “On” state of a redox-active fluorophore with unfavorable high duty cycle could be driven to “Off” state by electrochemical potential modulation and thus become available for single-molecule localization imaging. The new concept was carried out using redox-active cresyl violet with unfavorable high duty cycle as a model fluorophore by synchronizing electrochemical potential scanning with a single-molecule localization microscope. The two cytoskeletal protein structures, the microtubules from porcine brain and the actins from rabbit muscle, were selected as the model target structures for the conceptual imaging in vitro. The super-resolution images of microtubules and actins were obtained from precise single-molecule localizations determined by modulating the On/Off states of single fluorophore molecules on the cytoskeletal proteins via electrochemical potential scanning. Importantly, this method could allow more fluorophores even with unfavorable photophysical properties to become available for a wider and more extensive application of single-molecule localization microscopy.
Pandemic Intensity Estimation using Dynamic Factor Modeling
Authors: Cooke Aaron , Vivian John 
Published: February 2025

Abstract
Individual and policy reactions to the coronavirus pandemic had disparate impacts on viral transmission and were heterogeneous in their influence on economic activity and personal outcomes (Kerpen, Phil, Stephen Moore, and Casey B. Mulligan. 2022. A Final Report Card on the States’ Response to Covid-19. Working Paper 29928. National Bureau of Economic Research). Pandemic researchers struggle with choosing from multiple measurements of disease intensity. This paper is the first to suggest using a restricted data-rich dynamic factor model, generated from a variety of economic and pandemic data series to provide a comprehensive measurement of disease intensity. We use this approach to evaluate vaccination efficacy. We also provide future researchers with an open-source Python package that can run a restricted dynamic factor model with bespoke data input. By using the information generated by this specification, policy makers can choose how to respond to future pandemics with a deeper understanding of the costs and benefits of their choices. This paper concentrates on the United States, and exploits variation between U.S. states, but this approach is generalizable for any populations with similar data availability.
How shearing affects air dissolution in fresh cement pastes under pressure
Authors: Galvez-Moreno Daniel , Feys Dimitri , Riding Kyle 
Published: February 2025

Abstract
The air-void system of concrete is of paramount importance to ensure freeze–thaw durability. Pumping induces detrimental changes in the air-void system of concrete by dissolving the air bubbles in the surrounding water when pressure increases due to the pump action. This research work investigates the influence of shear rate and air-void size distribution on air dissolution with time of cement pastes under pressure. Steady-state shear rheology at different shear rates was applied on samples of different air-void size distributions but similar air contents. Due to the low capillary number of the mixtures, the application of pressure caused a decrease in viscosity. With increased applied shear rate and increased fineness of the air-void size distribution, the decrease in viscosity was more abrupt, indicating that the air dissolved almost immediately. Coarser air-void size distributions and lower shear rates caused a more gradual decrease in viscosity and thus a slower air dissolution. All experimental air dissolution times were lower than the calculated time needed for dissolution by pure diffusion. These results on the combined effect of pressure, duration, shear rate and air-void size distribution create the basis for a deeper understanding of the behavior of the air-void system of concrete during pumping.
FORTRAN IV Programs for Canonical Correlation and Canonical Trend-Surface Analysis
Authors: Lee P.J. 
Published: February 2025

In the statistical technique of simple linear regression a dependent variable, Y, is related to an independent variable, X, by an equation of the type
Y = bX + ε,
where ε is a random variable. The "strength of the relationship" of Y and X may be expressed by the correlation coefficient, r.
In multiple linear regression, the dependent variable is related to several independent variables by an equation of this type
Y = ∑biXi + ε.
The multiple correlation coefficient serves as a measure of the "strength of the relationship". More precisely, the square of the multiple correlation coefficient gives the proportion of the total sums of squares of Y which may be attributed to variation of the Xi.
Multiple correlation techniques have been applied frequently in geology. A typical application might relate a bulk property of a rock (e.g. permeability) to a series of mineralogical or textural properties (e.g. mean grain size, sorting, skewness, etc.).
It is not unusual, however, for geologists to make two (or more) sets of measurements on a single specimen (e.g. size and compositional parameters, trace element and major elements, or chemical and modal analyses) or at a single locality (e.g. formation thickness, sand percentage, etc., and size or compositional parameters). It may be of interest to attempt to relate one set of variables to another set of variables, to discover equations of the type
U = ∑aiXi, and
V = ∑bjYj,
where the coefficients ai and bj are chosen to give the largest possible correlation between U and V. This technique is called canonical correlation.
As an extension of this technique, the Xi might be chosen to be geographical coordinates (and their polynomials) of a set of spatially distributed variables, Yj. In this instance, the technique would be similar to that of trend analysis, except that the trend which is determined is not the trend of any particular variable, Y, but is the common trend of a set of variables, Yj. This technique may be called canonical trend-surface analysis.
Psychiatric co-morbidities and substance abuse are dominant factors in Predicting Emergency Department usage rates
Authors: Lydia Mitchell , Emily Moseley , Ralph O’Neil , Lawrence M Lewis 
Published: February 2025

Importance: 1% of the United States population accounts for 20% of healthcare costs. What characterizes heavy users of the Emergency Department (UED) both demographically and clinically is an area of active research.
Objective: Compare the proportion of nine common co-morbidities between heavy, moderate, and infrequent users then compare episodic and continuous heavy UED.
Setting: A large metropolitan healthcare system.
Participants: Heavy users were selected using a retrospective chart review of Barnes-Jewish Emergency Department records from 2010-2011. Emergency department usage for all unique patients seen in the time period specified was determined for two non-overlapping 365-day periods. Patients were stratified into 1 of 3 groups: Heavy users (> 10 visits for both periods), moderate users (5-9 visits for both periods), and infrequent users (1 visit in either the first or last period). There were 546 moderate users and 59,957 infrequent users matched 1:1 against 160 heavy users. These patients were matched for age, race, gender, and insurance. The 160 continuous heavy users were also compared to 388 patients who had > 10 visits in the first period, but not the second period, and 443 patients who had > 10 visits in the second period, but not the first. The proportion of subjects within each group was compared based on nine co-morbidities (substance abuse, mental illness, chronic pain, heart disease, lung disease, kidney disease, liver disease, cancer and stroke) using 95% confidence intervals.
Results: Infrequent users had lower rates of all co-morbidities. Moderate users had similar rates of all co-morbidities to heavy users, except slightly higher CVA rates (13.7% v 10.6%; p = 0.49), lower rates for mental illness (33.3% v 43.1%; p = 0.08) and significantly lower rates for substance abuse (17% v 35%; p < 0.001). Only substance abuse demonstrated a significant difference between episodic and continuous heavy UED (35% v 23.5%; p = 0.002).
Conclusion: Among nine common co-morbidities, only substance abuse rates were significantly higher among heavy users compared to matched moderate UED in our healthcare system. Infrequent users had lower rates of all co-morbidities. When comparing continuous and episodic heavy emergency department users, only substance abuse rates were significantly higher.
Preliminary Review: Cybersecurity for Operation Technology in Quantum Age Against Network Attacks to Critical Infrastructures
Authors: Amador Donado Siler , Pardo Calvache César Jesús , Mazo Peña Raul Ivan 
Published: February 2025

Introduction: Cyber-Physical Systems (CPS) require change in cybersecurity due to cyber threats and the advent of quantum computing. Despite the interest, main obstacles for adoption are cybersecurity and dynamic protection. Research seeks to characterize Cybersecurity Reference Model for CPS in Critical Infrastructures, considering limitations.
Objective: To characterize the cybersecurity reference model to prevent CPS attacks in critical infrastructures in the face of the advent of quantum computing. Primary studies are analyzed to identify the development of cybersecurity in CPS.
Methodology: Process includes research objectives, research questions, search strategies, inclusion and exclusion criteria, quality of studies and data. Methods such as Goal Question Metrics (GQM) and the Population Intervention Comparison Outcome (PICO) model were used.
Results: From 630 initial studies, 133 were considered relevant, and 33 primary studies were finally selected. We identified 3 types of vulnerabilities, 25 challenges, 8 types of attacks and 20 types of reasons in CPS cybersecurity in the quantum era, including impact on cryptography. There are no known attacks on CPS using quantum equipment yet, but there are potential risks.
Conclusions: CPS cybersecurity in the quantum era is compromised by challenges in cryptography. Essential transition to resilient algorithms, but lack of preparedness and understanding of the cybersecurity community is a major obstacle. Emphasis on collaboration to address quantum challenges. Comprehensive response required to protect CPS in the quantum era.
Nuevo enfoque en la navegación de robots mediante Matsuoka CPG
Authors: Loyola Oscar , Ortiz Cuadros Jose David , Reyes Bozo Lorenzo , Vidal Rojas Juan Carlos 
Published: February 2025

Nuestra propuesta introduce una aplicación novedosa del algoritmo Generador de Patrones Centrales (CPG) de Matsuoka en la robótica bioinspirada, centrada en la locomoción acuática. Adaptando el algoritmo al modelo de Matsuoka, facilitamos su conversión de forma continua a discreta, asegurando su compatibilidad con procesadores digitales para el control robótico en tiempo real. El método demuestra una mejora considerable, con una tasa de rendimiento aproximadamente un 50% superior a la alcanzada con algoritmos tradicionales como la Modulación de Ancho de Pulso (PWM). El refinamiento del algoritmo de control en sistemas robóticos bioinspirados permite una replicación de movimientos similares a los de los peces más cercana a los comportamientos naturales.

Este artículo explora en detalle la arquitectura del algoritmo CPG modificado para satisfacer los requisitos de procesamiento discreto sin perder la fluidez del movimiento biomimético. Presentamos evidencia empírica de la superioridad de nuestro algoritmo sobre las estrategias de control convencionales, examinando la capacidad mejorada del robot para imitar patrones de natación precisos y eficientes. Significativamente, la aplicación de este algoritmo reduce los errores temporales y proporciona una mejora notable en el rendimiento robótico bajo el agua. Nuestros hallazgos señalan una dirección prometedora para la investigación futura y la aplicación en el campo de la natación robótica, sugiriendo un cambio de paradigma en el enfoque del movimiento robótico inspirado en sistemas biológicos.
Evaluation of susceptibility range & altered SQLE in co-relation to higher MIC of dermatophytes isolated from increasing altitudes of Uttarakhand
Authors: Sharma Garima , Anand Daniel Alex 
Published: February 2025

: Dermatophytes hyphal fragments accidently deposited on stratum corneum sometimes, in contact with other infected person; cause communicable skin infections particularly, in higher altitudes; due to availability of ample of moisture. Diagnosis specified, primarily by clinical appearance, followed by mass culture of dermatophytes in lab, their identification under microscope & molecular identification by ITS regions. Spatial locations of Uttarakhand, Commendable to most mycosis species. Unanticipated number of mycosis patients during monsoon & recalcitrant nature of dermatophytes in consecutive years after 1 infection, grab attention. Study designed to calculate susceptibility range & intensity of modification in pathogen at various altitudes. Throughout Monsoon (from July to Nov 2023-24) skin samples from public hospitals of Uttarakhand at Skin-OPDs were collected, mass lab production & subsequently identification; to perceive their appearance time & relationship with increasing height. Standard Disc diffusion & broth dilution tests were carried out to calculate MIC range of frequently used antifungal drugs at public hospitals & modified current available pathogen. MIC of Trichophyton, Epidermophyton& Microsporum (5-25µg/ml) for terbinafine, for Itraconazole (0.09-1.5µl/ml) & for Fluconazole (0.03-0.5µl/ml) found much more higher than previously reported.Arthroderma, Blastomycosis & Nanninzzia sp was also isolated from Haldwani region. Species identification confirmed by ITS1 & ITS4 regions of rDNA & squalene epoxidase was also sequenced up to 600bp in a doubt of modification in pathogenic gene of T.mentagrophytes & T.rubrum. F397L, A448T in mentagrophytes & L393F in rubrum found altered by comparatively to control agent. Initially it looks critical to observe direct output from increased suseptibility range of pathogen but associated in evaluating efficacy of drug,which is contributing in calculating C/MIC, plasma drug diffusion & retention time ratiosfinallytheir susceptibility range (MIC)for pathogen.This pharmacokinetics guide to choose,combination of drugs & dose schedules
Depression and quality of life among patients with dermatophyte infections at a rural tertiary care hospital-A cross sectional study
Authors: H K Surakshitha  Poornima , Johnson Richin Anna , HK Tejaswi Prithviraj , Swaroop M R , R Monisha , KS Karthick 
Published: February 2025

The relation between psychiatry and skin diseases is bidirectional. Despite proper drug compliance and adequate treatment, there are still recurrences. This has significant impact on mental health, which may cause psychiatric comorbidity, typically anxiety and depression. We have screened for the prevalence and severity of the same, to further understand this equation.To evaluate depression and assess its severity and association with dermatophyte infections in patients at a tertiary care hospital.This cross-sectional observational study included patients with fungal infections from dermatology consultations. Basic demographics were collected, and the severity of depression and anxiety was evaluated using the Hospital Anxiety and Depression Scale (HADS) and Beck’s Depression Inventory (BDI). The Dermatological Quality of Life Index (DLQI) was used to assess quality of life.A survey of 183 dermatophytosis patients (88 male, 95 female) found the highest incidence in the third to sixth decades of life. Most had comorbid conditions, substance use history, and experienced one to six months of illness. Patients with itchy lesions had poor hygiene, contact with domestic animals, and irregular bathing. The Hospital Anxiety and Depression Scale indicated borderline anxiety and depression, with minimal to moderate depression. The Dermatological Quality of Life Index showed minimal to moderate effects, significantly impacting quality of life.This study explores the mental health impact of dermatophytosis in India, highlighting its multidimensional nature and the need for a comprehensive understanding of its psychological toll.
Rise in syphilis: Time to turn the tide
Authors: Agrawal Ankita , Palaskar Nachiket Madhukarrao , More Yuvraj Eknath , Mahale Tanmay Nandkumar , Thatkar Pandurang Vithal 
Published: February 2025

: Syphilis, a curable and preventable sexually transmitted infection (STI), remains a public health concern due to its diverse clinical manifestations and increasing prevalence globally. In India, syphilis has re-emerged, particularly among high-risk groups such as men who have sex with men (MSM) and people living with HIV (PLHIV). This study aims to analyze the current clinical and epidemiological trends of Syphilis.A prospective observational study was conducted from December 2022 to September 2024 at the STI clinic of a tertiary care hospital in Pune, Maharashtra. The study enrolled 78 confirmed syphilis cases, representing 4.7% of the 1660 STI cases diagnosed during the study period. Diagnosis was based on clinical history, physical examination, Venereal Disease Research Laboratory (VDRL) test with a titre of ≥1:8, and Treponema pallidum hemagglutination assay (TPHA). Data on demographic characteristics, sexual behavior, and clinical staging were collected and analyzed using descriptive statistics.Of the 78 syphilis cases, 61 (78.2%) were male, 15 (19.2%) female, and 2 (2.6%) transgender. The majority were young adults aged 21-30 years (55.15). Most patients were married (65.4%) and literate, with 42.3% being graduates. Polygamous relationships were reported by 67.5% of the patients, and 87.0% did not use condoms regularly. HIV co-infection was observed in 26 (33.33%) cases. VDRL titres ranged from 1:8 to 1:640, with symptomatic patients showing higher titres. Eleven (14.1%) pregnant women were diagnosed with latent syphilis during routine antenatal checkupsThe findings highlight the need for improved surveillance, especially in high-risk populations, and targeted interventions, including sex education, safe sex promotion, and rapid point-of-care testing. Strengthening antenatal syphilis screening and ensuring appropriate treatment can help control the resurgence of syphilis