bluuebunny/crossref_metadata_2025 huggingface dataset:
Teoría y método en sociología. Aportes para la investigación social
Authors:   Universidad de Antioquia, Zapata Juan Guillermo , Lince Bohórquez Wilmar Dubian ,   Universidad de Antioquia, Mosquera Acevedo Einer ,   Universidad de Antioquia, Galindo Monteagudo Jorge Lionel ,   Universidad Autónoma Metropolitana, Cuajimalpa, Guzmán Sossa Yesica Alejandra ,   Universidad de Antioquia, Julián-Vejar Dasten Alfonso ,   Universidad Austral de Chile, Pérez Fonseca Andrea Lissett ,   Universidad de Antioquia, Brand Monsalve Edinson Gabriel ,   Universidad de Antioquia, Bustamante Correa Ana María ,   Universidad de Antioquia, Acevedo Correa Yesenia ,   Universidad de Antioquia, Pérez Robles Shirley Tatiana ,   Universidad de Antioquia, Urán Arenas Omar Alonso ,   Universidad de Antioquia, Mejía Jervis Tatiana ,   Universidad de Antioquia
Published: January 2025

La relación entre teoría y método se ha expresado en el marco de las diferentes concepciones sobre el mundo social a partir de los múltiples procesos emprendidos por diversas formas de pensamiento a lo largo de la historia. Entendiendo que la formulación de métodos y teorías hace parte de sucesos propios de larga duración, cabría una pregunta perentoria: ¿qué concebimos por método y cuál es su relación con la teoría? Este interrogante puede resolverse, inicialmente, reconociendo que, en el caso del método, no le debemos considerar como un simple recetario o recurso instrumental para adquirir datos de la realidad social; al contrario, los métodos dan cuenta de un acervo teórico que permite interpretar, comprender y explicar la realidad social a través de procesos de investigación. Por su parte, la teoría hace referencia a todo un conjunto de planteamientos, proposiciones y concepciones del mundo que logran sistematizarse, con el mayor rigor posible, en procura de acceder de la mejor manera al conocimiento. Ahondando en la respuesta, es forzoso afirmar que método y teoría son dos elementos inseparables en la labor de la investigación social.
¿Estudiar para progresar?: El estudio de la movilidad social y ocupacional en el contexto de la educación superior
Authors:   Universidad de Antioquia, Brand Monsalve Edinson Gabriel
Published: January 2025

El texto explora la relación entre movilidad social y educación superior, particularmente en Colombia y Antioquia. Se enfatiza la persistente desigualdad en el acceso a oportunidades y la importancia de la educación como medio para mejorar las condiciones de vida. El análisis parte de múltiples perspectivas teóricas y metodológicas, destacando el papel de la estratificación social y las discusiones sobre movilidad social.
La investigación se centra en cómo la educación superior, especialmente en un contexto descentralizado como en Antioquia, puede generar movilidad social no solo en términos económicos, sino también en otras dimensiones de la vida. Los resultados incluyen tanto un análisis documental sobre la producción científica relacionada con movilidad social como un componente empírico basado en la experiencia de graduados de la Universidad de Antioquia, evaluando el impacto de la educación en su desarrollo personal, social y económico.
The good old discovery-justification distinction: Remarks on Melogno’s analysis of a Kuhnian account
Authors:   Universidad Nacional de Córdoba, Ilcic Andrés , García Pío ,   Universidad Nacional de Córdoba
Published: January 2025

The discovery-justification distinction stands as a pivotal issue within 20th-century philosophy of science. It subtly underpins many foundational topics and concepts pertinent to our comprehension of knowledge. Thomas Kuhn's contributions are indispensable in this regard, with his critiques playing a pivotal role in shaping both his initial model of scientific progress and its subsequent revisions. Kuhn addressed this dichotomy head-on in the first of his Thalheimer Lectures, presented in 1984. In this paper, we revisit Pablo Melogno's (2019) examination of Kuhn's engagement with this theme. Concurring with Melogno, our analysis extends his interpretation by exploring Larry Laudan's objections to certain research programs focused on a logic of discovery. We further scrutinize specific assumptions about discovery heuristics that have been misinterpreted within Laudan's methodological framework, particularly the one stemming from Herbert Simon's pioneering work. By synthesizing these perspectives, we aim to set up a preliminary framework for a more refined understanding of how history and philosophy of science inform the epistemic practices of agents operating with bounded rationality.
Las huellas literarias e históricas de Wiwa y Orika, buscando otras perspectivas
Authors:   Universidad de Perpiñán, Candela Montoya Sara
Published: January 2025

En este artículo analizamos las huellas literarias e históricas de Wiwa y Orika, dos cimarronas de San Basilio de Palenque, madre e hija, esclavizadas en Cartagena a finales del siglo xvi. A partir de un enfoque sociológico y literario, centrado en los estudios de género, el feminismo negro y decolonial, estudiamos los fragmentos de vida de Wiwa y Orika en la literatura y en la historia colombiana. Para ello, nos apoyamos en el cuento “Orika de los palenques” de Germán Espinosa, y en la memoria colectiva que vislumbramos en Cartagena y en San Basilio de Palenque durante nuestro trabajo de campo con la lideresa Solvay Cáceres. Tal enfoque permite matizar los contornos de estas heroínas que, si no han caído aún en el olvido, son sujetas a representaciones estereotipadas, hoy cuestionables.
En busca del espacio perdido: Análisis visual de El día de la mudanza de Pedro Badrán
Authors:   Universidad Pedagógica Nacional, Saavedra Rey Sneider , Saavedra Rey Liliana ,   Universidad Pedagógica Nacional
Published: January 2025

En el marco del análisis cultural, este artículo analiza la visualidad de la novela El día de la mudanza de Pedro Badrán (2001) a través de conceptos como focalización, encuadre, figuración, tiempo trastornado, entre otros, propuestos por Mieke Bal a lo largo de su trayectoria académica y artística dentro de la configuración interdisciplinar del análisis visual. Debido a que la novela se construye en gran medida sobre la écfrasis del álbum fotográfico de la familia que la protagoniza, el artículo profundiza en la heterocronía y la imagen en la construcción del sujeto dentro de la sociedad contemporánea, y reivindica la incidencia narrativa de la descripción en el arte de la novela.
Small signal stability in low-renewable power systems: A 138 kV Santo Domingo case study
Authors:   Instituto Tecnológico de Santo Domingo, Sánchez-Sánchez Ángel José , Aybar-Mejía Miguel ,   Instituto Tecnológico de Santo Domingo, Peralta-Maxwell Víctor Ernesto ,   Instituto Tecnológico de Santo Domingo, Germán-Encarnación Ángel Dagoberto ,   Instituto Tecnológico de Santo Domingo, De León-Concepción Eduardo ,   Instituto Tecnológico de Santo Domingo, Mariano-Hernández Deyslen ,   Instituto Tecnológico de Santo Domingo
Published: January 2025

Small signal stability in electrical systems refers to the ability of the system to maintain stable operation in the face of low-amplitude disturbances, such as fluctuations in electrical demand or the off and on switching of generators. This type of analysis is essential because it provides insight into how the system responds to minor disturbances, such as variations in generation or unplanned load. Significant disturbances can induce unstable conditions with potentially serious consequences, such as widespread power outages. Advanced mathematical techniques address these issues, such as the Fourier transform and the Prony method. In this study, a method was developed using MATLAB, and flow runs were performed in Digsilent software to analyze the oscillations of small signals in a 138 kV substation with low penetration of renewable energy. This research is relevant because it allows us to assess the impact of small disturbances in the electricity system during the transition toward greater integration of renewable technologies. The goal is to improve the efficiency and safety of electrical infrastructure in the Dominican Republic, ensuring a more reliable and stable energy supply for residents and businesses. The analysis shows that the current system can absorb anomalies of small signals due to the low penetration of renewables. In addition, the tool developed allows the evaluation of scenarios with greater penetration of renewable energy, providing a solid basis for implementing preventive or corrective measures.
Computational screening, synthesis and neuroprotective evaluation of small molecule for the treatment of alzheimer's disease
Authors:   Universidad de Sucre, Pajaro-Castro Nerlis
Published: January 2025

BACKGROUND: Current treatments for Alzheimer’s disease primarily address symptoms, as no definitive therapeutic targets have been identified.
OBJECTIVES: This study aims to conduct a virtual screening of small molecules and synthesize and evaluate one of the most promising candidates for Alzheimer’s therapy.
METHODS: Using AutoDock Vina, compounds with drug-like properties were docked against key proteins implicated in Alzheimer's pathology: β-Secretase, γ-Secretase, Pin1, and Cdk5. The molecule with the highest in silico affinity (PubChem ID: 84378305) was synthesized and evaluated experimentally. Cytotoxicity and neuroprotective effects were assessed using the MTT assay in the presence of the Aβ25-35 peptide.
RESULTS: Four candidate molecules showed strong binding affinity, ranging from -6.8 to -9.1 kcal/mol. The results showed that when SK-N-SH cells were simultaneously treated with Aß25-35 peptide (5 µM) and compound 84378305 (0,1 µM), the molecule exhibited significant neuroprotection (33%) after the 48 h of incubation.
CONCLUSION: Findings indicate that this lead compound exhibits potential neuroprotective activity, highlighting its promise as a candidate for further development in Alzheimer’s disease treatment.
Analysis of Transcriptomes of the Free-Living Escherichia coli K-12 MG1655 and Their Biofilms
Authors: Kaznadzey A.D. , Dakhnovets A.I. , Bessonova T.A. , Tutukina M.N.
Published: January 2025

Biofilm formation can lead to multiple problems – for example, biofilms formed by the pathogenic Escherichia coli strains cause chronic urinary tract infections and gastroenteritis that can hardly be treated with antibiotics. Despite obvious priority, the key regulators and signals leading to a switch of bacterial lifestyle from free-living to attachment and biofilm formation are still not fully known. Here, an analysis was made to compare transcriptomes of the E. coli K-12 MG1655 cells growing in standard laboratory conditions and in conditions close to that inside a host organism. It was shown that upon cell transition from the free-living lifestyle to biofilms a huge rearrangement of their carbon metabolism occurred, and a key role belonged to hexuronate metabolism. At the same time, 6S RNA SsrS was dramatically overexpressed. In the second part, differential expression of genes in the E. coli K-12 MG1655 cells growing in the biofilm-forming conditions upon deletion of the yjjM gene coding for one of hexuronate regulators, YjjM (LgoR), was analysed. During this work, an analysis pipeline was optimized to allow trimming of randomly attached adaptors. The data obtained clearly indicate that small regulatory RNAs, including SsrS, play a key role in the biofilm formation by E. coli K-12, along with the YjjM protein. It was also revealed that YjjM might regulate the processes of protein biosynthesis, mRNA stabilization and antiphage defense. These observations clearly need further investigation.
Monitoring and Analysis of Large Deviations of Autonomous Underwater Vehicles when Moving in a Group
Authors: Dubovik S. A. , Kabanov A. A. , Lipko I. U.
Published: January 2025

The article is devoted to the issue of constructing the proximity estimation of a pair of autonomous underwater vehicles moving on parallel courses. Two approaches are considered depending on the density of the vehicles in the group: when moving in narrow spaces and when moving on parallel courses for a relatively long time. Exact and approximate methods of constructing such estimates depending on the group density are proposed, since noise manifests itself in fundamentally different ways in these situations. In the case of a dense group, a collision event cannot be considered rare and exact state estimation methods are applied. In the exact method, the equations of dynamics are treated as a conditionally Gaussian system to compute the necessary estimates. For this purpose, the Lipzer-Shiryaev method is used to account for nonlinear dependencies in the equations of the observed variables. In the case of rarefied density (long apparatus movements), coarser approaches in the estimations are allowed. The fact of collision is considered as a rare event, which is led to by the coincidence of factors that form a quite definite sequence in time — the extremal of the optimal control problem. The monitoring problem is formulated as a large deviation control problem. Applying the principle of large deviations, the stochastic problem of collision probability estimation is reduced to a deterministic optimal control problem. A rough estimate of the collision probability for two vehicles is obtained for the limit solution of the averaged system in the paper. As an application of the proposed approach, the problem of motion control of autonomous underwater vehicles moving in the horizontal plane with constant longitudinal velocity at a given depth is considered. Under the condition of nondegeneracy of the diffusion matrix in the equation of observable variables, an algorithm for recovering the transverse coordinates and velocity and calculating the collision risk on this basis is obtained.The paper uses the approach of A. Puchalskii, which requires only controllability of the system by input noise. Knowledge of the extremal allows predicting the collision event, which is used in the paper to estimate the collision risk
Machine Learning-Based Forecasting of Output Currents for Demand Response Management and Energy Distribution Optimization in Low-Voltage DC Microgrids
Authors: Abdallah E. , Menoufi K. , Shehata N. , Ghalib M. A.
Published: January 2025

This study comprehensively evaluates several Machine Learning (ML) techniques to address the challenge of predicting output currents for demand response management and energy distribution optimization in low-voltage Direct Current (DC) microgrids. The study utilizes an extensive dataset of around 33,334 data sets with diverse electrical characteristics. Several prediction algorithms are used and evaluated in a planned way during this process. These include Decision Tree (DT), Random Forest (RF), Support Vector Regression (SVR), Multilayer Perceptron (MLP), Lasso, and Linear Regression (LR). The Random Forest (RF) model outperforms the other models, with a high R^2score of 0.994, indicating a very accurate fit to the observed data. In contrast, the Lasso model has a R^2 score of 0.883, suggesting a somewhat lower effectiveness due to its simplicity. The findings provide a comprehensive assessment of the predictive capabilities of each model, which is further corroborated by other research utilizing measures such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE). For instance, the Random Forest (RF) model showcased its robustness in accurately predicting output currents by attaining the lowest Mean Absolute Error (MAE) of 0.289, Mean Squared Error (MSE) of 0.140, and Root Mean Squared Error (RMSE) of 0.374. This comprehensive evaluation enhances the advancement of sustainable and efficient energy distribution networks by emphasizing the potential of Machine Learning (ML) to improve Direct Current (DC) microgrids’ operational efficiency. It also establishes the foundation for future research on integrating these algorithms into real energy systems
Synthesis of Robust Quadcopter Control Algorithms Considering Speeds and Lift Force Constraints
Authors: Kokunko J. G. , Krasnova S. A. , Utkin V. A.
Published: January 2025

The paper presents the synthesis of a tracking system for a quadrocopter considered as a solid body with six degrees of freedom and four control actions (rotor lift forces), considering design constraints on velocities and controls. The plant operates under conditions of parametric and external disturbances, as well as incomplete measurements. The trac king loop is designed in a typical way and consists of translational and rotational motion subsystems with three inputs and three outputs each. Reference trajectories are independently specified for the spatial position of the quadrocopter’s center of mass and yaw angle. The pitch and roll angles have a dual function: in the translational motion subsystem they, together with the total lift force, act as controls, which are considered as reference actions in the rotational motion subsystem. Scientific novelty is related to the developed method of dynamic feedback design using piecewise linear feedback with saturation in regulators, state and disturbance observers, as well as dynamic differentiators of reference actions. Application of the block control principle with combined piecewise linear feedbacks with saturation for design of tracking subsystems of spatial and angular positions allowed to provide stabilization of tracking errors at imposed constraints on velocities and controls. Reduced dynamic observers with piecewise linear correction reduce the computational load. Based on tracking error measurements, they recover composite signals including unmeasured velocities, uncertain parameters, and external disturbances to a specified accuracy without the need for individual identification of uncertain parameters. The feedback formation on the variables of such observers ensures robustness of the tracking system. Instead of numerical differentiation operations, which are problematic to implement, dynamic differentiators with piecewise linear correction are used to recover derivatives of reference actions, which are capable of processing piecewise differentiable signals and do not generate surges of estimation signals at special points. The presented results of numerical modeling confirm the effectiveness of the developed algorithms
USE OF SELF-MANAGEMENT TECHNOLOGY IN THE TRAINING OF SPECIALISTS IN SPECIALITY 011
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, ZHYLENKO Mykola
Published: January 2025

Background. In higher education, the subject-subject pedagogical process is perceived as an integral component where the personalities of the teacher and the student interact. However, despite the parity in the activities of both parties, the organization and implementation of this process are driven by the teacher's activities. Results. The teacher's activities can be considered as meta-activities since they are aimed at organizing and managing other types of activities. In the context of higher education, the teacher often acts as a manager, organizing their work in such a way as to effectively influence other participants in the educational process. The article reveals the logic and approaches to motivating students in the formation of personal characteristics within the educational process for training specialists in the field of higher education through the use of self-management technology. It explores the possibility of structuring educational activities in a way that provides each student with the opportunity to develop a system of learning activities as a process for developing personal characteristics necessary for their future profession. The sequence of educational actions is outlined, creating conditions for transitioning from the position of a passive executor of the teacher's instructions to self-regulation of one's own educational and life activities in accordance with personally formulated social and personal goals. By using the staged actions provided by self-management technology, and specifying goal formulation and setting with the help of SMART criteria (Specific, Measurable, Achievable, Relevant, Time-bound), group activities create conditions for the self-actu-alization of learning activities. This is achieved through assessing the current level of preparation, determining the necessary resources for learning, sequencing actions in the process of self-realization considering the tasks of the educational process, and monitoring and adjusting actions. Conclusions. Feedback during the learning process and after the completion of the course shows that this approach allows for the identification of educational problems whose complexity and relevance meet the students' learning needs. It creates internal moti-vation and conditions for finding ways to solve the main problems of the course, thereby forming personal characteristics based on the understanding of the content of educational competencies and program learning outcomes. This approach develops self-reflection and metacognitive skills, enabling students to better control their own learning process and achieve set goals, and as a derivative effect, obtain tools for lifelong learning.
Status and Prospects for Research on Polish-Romanian Relations since mid-September 1938 to December 1939
Authors: Tarita Marius
Published: January 2025

The author draws on Romanian periodicals such as “Basarabia”, “Dobrogea jună”, “Facla”, “Gazeta Basarabiei”, “Iașul”, “Informația”, “Lumea Românească”, “Neamul Românesc”, “Renașterea”, “Timpul”, and “Transilvania” to examine how Romanian public opinion regarded Poland during the period from the Munich Conference of 1938 to the end of 1939. Initially, these publications presented Poland in a positive light. However, following the German aggression against Poland, while sympathetic voices emerged, this support faded within a few weeks. By the end of 1939, the topic had largely disappeared from public discourse.
Modeling the Blood-brain Barrier Using Rat Brain Cell Cultures
Authors: Leonov G.E. , Vakhrushev I.V. , Novikova V.D. , Saryglar R.Y. , Baskaev K.K. , Lupatov A.Y. , Kholodenko I.V. , Yarygin K.N.
Published: January 2025

Permeability of the blood-brain barrier (BBB) represents a significant problem for most promising drugs used for treating brain diseases due to its high selectivity. The neurovascular unit, which includes neurons, interneurons, astrocytes, the basal membrane, smooth muscle cells, pericytes, endothelial cells, and the extracellular matrix, forms an anatomically and functionally cohesive structure that ensures effective regulation of cerebral blood flow. In vitro modeling of the BBB is a relevant and practically significant task for studying the penetration of therapeutic agents into the brain. This study presents a BBB model consisting of endothelial cells, pericytes, and astrocytes, which partially mimics the in vivo layers of the BBB. Despite some limitations, such as incomplete matching of astrocyte location, the model demonstrates high expression of tight junction proteins and optimal TEER values of the endothelial cell monolayer, making it suitable for studying the permeability of the BBB to various substances, including drugs and nanoparticles.
Affordances of Mobile Technology to Facilitate Learning in Undergraduate
Thermal-Fluid Sciences
Authors: Bakic Maeve Raphael
Published: January 2025

In recent years, the pandemic has affected learning at all levels, in particular
higher education, where higher levels of independence and self-motivation are
required during distance learning. In engineering in particular, distance
learning adds another degree of difficulty to an already complex field.
Comprehension in engineering requires the repeated use of diagrams, high-level
charts, and practice problems. Mobile devices, combined with a
technology-enhanced curriculum, provide an excellent platform for learning in
engineering as it allows for clear illustration and the transfer of complex
ideas at any time and place. In alignment with the social-constructivist
framework, these facets of mobile technology provide additional avenues for
student engagement and the extension of learning goals. This study utilized the
Triple E Framework and a mixed methods approach to investigate the impact of
mobile devices on engineering students’ learning in a thermal-fluids course. The
overall aim: to measure how mobile technology, combined with a
technology-enhanced curriculum, impacts engineering students’ engagement,
enhancement, and extension of learning. Results reveal that students perceived
increased levels of engagement when utilizing mobile devices while learning.
However, teaching methods were identified to be the key factor leading to
engagement. Though a clear statistical difference between students who did and
did not utilize mobile devices was not apparent, students with university loaned
tablets (iPads) saw a larger increase in learning than students without.
Conclusions report that having a single type of device in the classroom supports
ways of learning that would not otherwise be present. This supports the social
constructivist framework, in demonstrating how learning is a process situated
within a social context that is influenced by social interaction.
Data-Driven Multiscale Modeling of Dye Aggregates in DNA for Excitonic
Applications
Authors: Biaggne Austin
Published: January 2025

In this dissertation, a data-driven, multi-scale approach was implemented to
study the structural, electronic, and dynamical behavior of dye monomers and
aggregates for excitonic applications. The excitonic behavior of dye aggregates
depends on both the constituent monomer properties as well as the relative dye
orientations that make up the aggregate. Dye monomer properties can be augmented
with substituents, but with a wide range of substituent types, ideal dye
derivatives should be identified. To control the aggregation of dyes, DNA can be
used as a scaffold, however, the ways in which dyes interact with each other and
with DNA is not well understood.

Density Functional Theory (DFT) and Time-Dependent Density Functional Theory
(TD-DFT) calculations were performed to understand the structural and electronic
properties of numerous dye molecules, with a focus on dyes in the cyanine family
(e.g., Cy5). To determine the effects of substituents on Cy5, which are
hypothesized to enhance the excitonic properties of dyes, Cy5 derivatives were
screened using a combination of DFT and TD-DFT, the latter of which was used to
calculate the excited state properties of the dyes. Trends among the electronic
properties and substituent electron donating and withdrawing strengths were
identified.

Molecular Dynamics (MD) simulations were conducted to study the orientations of
cyanine monomers and dimers attached to an array of DNA scaffolds, including DNA
duplexes and Holliday junctions. Using MD, it was shown that both a Cy5 and
Cy5.5 dimer bound bi-covalently to a DNA duplex form a dimer by intercalating
into the DNA base-region. Cy5 and Cy5.5 homo- and heterodimers attached to DNA
Holliday junctions were found to exhibit dimer orientations that depended
strongly on the dye attachment locations and DNA conformers, which agreed with
experimental studies.
Sex Differences in Tibial Compression During Load Carriage Running on
Challenging Surfaces
Authors: Francis Eric Brian
Published: January 2025

Introduction: Tibial stress fracture is a common and destructive
musculoskeletal issue for military, particularly female, personnel. Common
military tasks, such as walking and running with body borne load, reportedly
lead to lower limb biomechanics that elevate tibial stress fracture risk. Yet,
it is unknown if similar increases are evident when running with heavy load –
particularly over varied terrain personnel commonly navigate during military
exercises. Purpose: This study sought to quantify vertical ground
reaction force (GRF) and tibial compression while participants ran with body
borne load over challenging surfaces, and determined whether they differed
between sexes. Hypothesis: Participants will exhibit a significant
increase in vertical GRFs and tibial compression with the addition of body borne
load, but increases will be dependent of the surface. Females will exhibit
larger increases in vertical GRFs and tibial compression than males.
Methods: Eighteen (9 Male and 9 Female) participants had 3D
lower limb biomechanics quantified while running (4.0 m/s) with and without a 15
kg load over four surfaces (flat, squishy, firm, and rocky). Statistical
Analysis: Stance phase vertical GRF and tibial compression measures
were submitted to a two-way repeated measures ANOVA to test the main effect and
interaction between load (0 kg, 15 kg) and surface (flat, soft, firm, rocky).
Alpha was p < 0.05. Results: Running with body borne load led to
greater peak, impact peak and VLR of vertical GRF, and maximum and impulse of
tibial compression (all: p < 0.001). Surface impacted both vertical GRF and
tibial compression measures (all: p < 0.001). Specifically, peak vertical
GRF, and maximum and impulse of tibial compression were greatest on the rocky
surface (all: p < 0.001), while peak vertical GRF was larger on the squishy
and firm foam compared to flat surface (p = 0.025; p = 0.006). Sex did not
impact any vertical GRF or tibial compression measure (p > 0.05).
Conclusion: Running with body borne load may elevate tibial
stress fracture risk by leading to larger tibial compression and larger, faster
vertical GRFs. Additionally, running over challenging surfaces may alter injury
risk, but the specific changes in vertical GRF and tibial compression that
increase injury are dependent on the specific surface. Males and females
exhibited no significant difference in tibial compression or vertical GRF
measures during the loaded running over challenging surfaces.
Promoting Successful Industry Academic Partnerships for Curriculum
Development
Authors: Gudapati Jennifer D.
Published: January 2025

There is a widening gap between traditional higher education and the needs of the
industry workforce. Higher education has lately been criticized for having too
few voices playing a role in most curricula development, with the voices being
used consisting largely of career academics (Nature Editorial, 2023). Both
industry and academia have found a disconnect between academic training and
preparedness to enter the labor market (Jackson et al., 2016). Multiple Streams
Framework (MSF) and Stakeholder Theory (ST) have been offered as potential
frameworks for guiding elements of policy or strategy development and
implementation in this context. However, in this dissertation, using case study
analysis, I show that when used alone, both MSF and ST principles, fail to yield
desired outcomes in the development and implementation of policy and program
design. I present and analyze two additional cases, through autoethnographic
case analysis, which show how effective integration of MSF and ST can provide a
policy process map for developing academic programs that leads to successfully
addressing the gap between industry needs and curriculum development. This
analysis proposes the following four themes to maximize success for this
process: 1) garnering support from stakeholders with power, 2) jointly
optimizing stakeholder values in program design, 3) identifying and addressing
opposition early in the process, and 4) re-designing existing organizational
processes to meet stakeholder needs. The findings of this dissertation suggest
that for industry-partnered higher education program design, integration of
Stakeholder Theory with the Multiple Streams Framework presents a comprehensive,
practical, and interdisciplinary process map for ensuring success.
Balancing Societal Demands for Agricultural Land
Authors: Halperin Sarah
Published: January 2025

With an increasing global population and the effects of climate change and
biodiversity loss intensifying, society faces many challenges in reconciling
conflicting demands for the landscape. Covering roughly half of the land area of
the United States, agricultural land is in direct competition with other land
uses and will likely play an important role in addressing these important
conservation challenges. In this dissertation, we used well-supported existing
methodologies and principles from ecosystem services, message framing, and
biodiversity conservation to create knowledge about how to better protect
agricultural lands. We conducted our study in the Treasure Valley, Idaho, where
the issue of agricultural land loss is particularly relevant owing to few
current restrictions on land use and limited arable land. First, we used the
Ecosystem Service framework to bolster our understanding of the problem and
consequences of agricultural land loss in the context of future urban
development (Chapter 1). Second, we used message framing to identify five key
frames that the farmland protection community used to discuss the issue of and
solutions for farmland loss. Based on those findings, we described potential
policy pathways (Chapter 2). Lastly, we combined the context of the problem
explored in Chapter 1 and potential policy pathways from Chapter 2 to develop a
systematic, landscape-level approach to identify priority areas for farmland
protection (Chapter 3). In this last chapter, we combined Systematic
Conservation Planning principles and the Ecosystem Service framework to identify
agricultural protection areas. In Chapter 1, we found that urbanization
particularly threatens higher quality agricultural land and there were
trade-offs and synergies between the supply of ecosystem services across
agricultural land quality. Together, these findings enhance our understanding of
the ways in which urbanization threatens agricultural land and the ecosystem
services it provides. In Chapter 2, our frame analysis revealed that effective
policy solutions will likely need to address a broad spectrum of concerns,
linking the significance of farmland to various values, including national
security, the economy, and the environment. Lastly, in Chapter 3, we
demonstrated that by taking into account the multiple values of agricultural
land, designated agricultural protection areas can safeguard food productivity
potential while also contributing to achieving 30x30 conservation goals and
protecting other essential benefits. Overall, our work adds to the growing body
of ecosystem service literature, provides valuable insights to continue the
on-the-ground efforts to protect agricultural land, and shows a novel
application of Systematic Conservation Planning. Each of the three chapters
offers distinct insights that contribute to a deeper understanding of where and
how to protect agricultural land. Collectively, they propose practical solutions
to better utilize agricultural land to address our most pressing environmental
challenges.
An Analysis of Instructor Feedback
Authors: Hawranick Olga
Published: January 2025

Carless & Boud (2018) capture the definition of feedback best as “a process
through which learners make sense of information… use it to enhance their work
or learning strategies (p.1).” This definition goes beyond feedback solely being
the role of instructors and highlights the student component in making sense of
the feedback which we reference in this study as “actionable feedback.” Are
instructors providing meaningful feedback to their students to encourage
revision? Past studies offer inconsistent results on most features of feedback
and little is known about how some of these factors benefit students’
interactions with feedback.

This study aims to learn more about both classroom perspectives between the
instructor and the student. The main focus was on college mathematics
instructors’ feedback practices to gain a better understanding of what elements
of feedback are being used and if it matches the type of feedback that students
find most useful.

Boise State University instructors that teach below the calculus level graded and
left feedback on a collection of student work samples while students completed a
questionnaire that gained their opinions on how they use feedback, how highly
they value it, and which feedback type they find most useful. A thematic
analysis was conducted on each feedback comment’s word choice to classify each
into specific feedback groupings. Results indicate that the instructor feedback
was overall non-actionable. Students preferred actionable feedback, signifying a
disconnect between the two populations.
Compositional and Environmental Effects on Transport and Lipid Ordering in
Membranes
Authors: Whiting Rosey
Published: January 2025

Lipid membranes exploit self-assembly to create barriers, which partition cells
from extracellular environments to regulate the transport of ions and substances
critical to cell survival. The permeability and fluidity of membranes also
impact the function of associated proteins and our ability to use artificial
lipid structures for potential therapeutics. As such, investigating factors
modulating the biophysical and transportation properties of lipid bilayers has
potential for far-reaching impact on our understanding of key cellular
processes. This work focuses on filling gaps in knowledge on the effects of
lipid bilayer composition, lipid ordering, and transport in both cellular and
planar lipid membranes. Our electrophysiology experiments on planar bilayer
lipid membranes under hydrostatic pressure indicate the occurrence of unassisted
inorganic ion transport. The same experiments, carried out with varied
cholesterol ratios in the membrane, confirm the importance of cholesterol in the
membrane’s mechanical and transport properties. We show that a membrane’s
permeability to inorganic ions increases with the applied hydrostatic pressure
as a result of the induced curvature, while cholesterol plays a stabilizing
role. Using a similar electrophysiological model system, we show that organic
ion permeability varies with both temperature and cholesterol concentration of
the bilayer. Temperature-induced phase transitions of lipids, associated with
changes in lipid ordering, are mitigated by the addition of cholesterol, leading
to a decreased permeability. While the temperatures needed to attain such
transitions are often outside the physiological range for many cells, we asked
whether changes in lipid ordering can also be observed in cellular membranes at
constant, physiological temperature in response to stress effectors such as
hypo-osmosis or protein insertion. For this assessment, we employed membrane
sensitive probes embedded in red blood cell membranes and membrane-status
indicator dyes. We show that hypo-osmotic pressure leads to significant lipid
disordering, which is a consequence of diminished short-range interactions in
tensioned membranes. We also observe a significant lipid disordering upon
insertion of exogenous toxins in the membranes, which we ascribe as a
consequence of the hydrophobic mismatch between the inserted protein and the
hydrophobic core of the membrane. Both stressors indicate sigmoidal variations
of the analyzed parameters (i.e., generalized polarization, and anisotropy),
suggesting the occurrence of isothermal phase transitions. This collection of
work provides new methodologies and knowledge, supplementing the growing field
of membrane biophysics and its applicability in medicine, biotechnology and
cellular physiology.
Determination of Debt Use on Capital Structure in Indonesia
Authors: Tasrim Tasrim , Anwar Vebby , Estiani Estiani , Kurniawan Angga , Jayanti Ansri
Published: January 2025

The use of debt is a strategic decision of the company. The company must make such decisions for the sustainability of its operations. The study investigates the factors influencing debt use in a company's capital structure. The locus of research was a technology business registered on the Indonesia Stock Exchange. The sampling was of 17 companies selected through the purposive sampling method. The companies selected as research samples were those that routinely reported financial statements during the research period from 2019 to 2023. Multiple regression analysis was employed to analyze the data. The results showed that liquidity strength negatively correlated with debt use, while the Current Ratio (CR) did not show a significant effect. Tangible assets affect the debt-to-equity ratio (DER), and no significant effect was found on the use of STDTA. Return on Asset (ROA) negatively affects short total debt to total assets (STDTA) and positively affects DER. In contrast, Total Asset Turnover (ATO) and Return on Equity (ROE) positively affected STDTA. ATO had a negative impact on DER. Meanwhile, ROE was not found to have a significant effect on DER. The company uses the pecking order theory approach in its capital structure policy. It pays more attention to internal conditions before adopting a policy of using or increasing debt in the capital structure.
The Moderating Role of POSM (Point of Sales Material) in the Relationship Between Application Quality and Familiarity on Trust and Purchase Intention
Authors: Badawi Badawi
Published: January 2025

Currently, e-commerce is one of the shopping centers in Indonesia. The growth of online transactions indicates a broader market presence, yet it simultaneously highlights a highly competitive and dynamic business landscape. This study aims to analyze the direct effect of application quality and familiarity on trust and purchase intention in e-commerce consumers. This study also analyzes the moderating role of Point of Sales Materials (POSM) in strengthening the direct effect of application quality and familiarity on trust and purchase intention. This research was a quantitative study involving e-commerce consumers in West Java. The sample in this study was taken using a stratified random sampling method, resulting in a sample size of 230 participants. Data collection was obtained by distributing questionnaires, with subsequent analysis performed using a structural equation model with Smart-PLS4. The results showed that application quality affects trust but does not affect purchase intention. Furthermore, familiarity affects trust and purchase intention. Trust was also shown to affect purchase intention. Further tests indicate that POSM effectively moderates the effect of application quality and familiarity on purchase intention but does not moderate their effect on trust. Therefore, this study contributes to the development of e-commerce and fills the literature gap in online marketing research. The study recommends enhancing application quality and user familiarity, customer trust, and purchase intention in e-commerce. Additionally, discounts and promotional concepts should be strengthened to amplify the influence of application quality and familiarity on consumer purchase intention in e-commerce.
Altman Z-Score and Zmijewski X-Score Models on Performance to Assess the Bankruptcy Risk of Mining Companies on IDX Indonesia 2018-2022
Authors: Nerotumilena Tresya , Winarna Jaka
Published: January 2025

Financial Distress Analysis is a method used to assess the financial condition of a company. This information is crucial for the company and stakeholders in the decision-making process. This research aims to project the potential financial distress of mining companies listed on the Indonesia Stock Exchange during the 2018-2022 period, using the Altman Z-Score and Zmijewski X-Score methods on financial performance. The research applied quantitative methods, with a descriptive and a different test assessment. Data analysis was carried out using the calculation of Altman Z-Score and Zmijewski X-Score using SPSS version 27. The results showed that over five years, out of 31 mining companies, the X-Score model had a significant value of 0.00 < 0.05 on performance, indicating that this method is good for use in mining companies. In conclusion, investors are advised to consider these findings when making investment decisions in the mining sector experiencing financial distress.
Exploring the Impact of Quality of Work Life, Job Involvement, and Organizational Climate on Work-Life Balance: A Mediated Analysis Through Job Satisfaction
Authors: Syahbana Bahtiar Nur , Hadi Syamsul , Kirana Kusuma Chandra
Published: January 2025

From an organizational point of view, work-life balance has become very important in today's working environment, and organizations have begun to consider various variables that affect well-being and employee performance. Using work satisfaction as a mediating variable, the current study investigates the relationship between WLB in an insurance broker company and QWL, job participation, and organizational climate. Quantitative data collection was performed, respecting the multi-indicators and multi-parameters nature of the variables, while the analysis was carried out using the PLSSEM software. The results indicate that WLB is significantly influenced by QWL and organizational climate, while job involvement does not show any impact. Moreover, job satisfaction, positively affected by QWL and organizational climate, does not directly influence WLB. These findings are an indication that the organization needs to prioritize enhancing QWL and fostering a positive organizational climate in most ways if it is to promote WLB and satisfaction among its employees effectively. This research found that improving the quality of work-life and organizational climate is an important factor in fostering work-life balance, especially in sector insurance brokering.
Analysis Key Variables and Generation Z Turnover Intention Scenarios: MICMAC and Bayesian Network Approaches
Authors: Nami Ni Putu Shernita , Prianthara Ida Bagus Teddy
Published: January 2025

Generation Z is projected to dominate the workforce and have great opportunities for the development of a company, but problems arise when various surveys show that Gen Z has a tendency to change jobs (turnover intention). This research aims to analyze key variables and explore shared Gen Z turnover intention scenarios. This research uses a new approach, namely MICMAC and Bayesian Belief Network (BBN. The research highlights that Gen Z employees’ turnover intentions are influenced by factors such as Job Insecurity, Job Stress, Compensation and Benefits, Job Satisfaction, and Leadership and Management, which can be anchored to the Two-Factor Theory and Equity Theory. The results of the strength analysis show that the probability of Gen Z turnover intention is 68%. Based on scenario analysis, it is proven that when Gen Z does not experience job stress, they do not experience job insecurity, and satisfaction with current work can reduce turnover intention levels by 40%. Reducing turnover intention will also have a positive impact on company stability, increasing by 29%. The findings of this research have significant implications for policy recommendations and practices in company management. This study emphasizes the importance of creating a supportive company environment to reduce job stress and job insecurity. Flexible policies and management support can create a positive work atmosphere, increase employee satisfaction, and reduce the risk of burnout.