bluuebunny/crossref_metadata_2025_split huggingface dataset:
LarvaeCountAI: a robust convolutional neural network-based tool for accurately counting the larvae of Culex annulirostris mosquitoes
Authors: Javed Nouman , López-Denman Adam J. , Paradkar Prasad N. , Bhatti Asim 
Published: May 2024

Abstract

Accurate counting of mosquito larval populations is essential for maintaining optimal conditions and population control within rearing facilities, assessing disease transmission risks, and implementing effective vector control measures. While existing methods for counting mosquito larvae have faced challenges such as the impact on larval mortality rate, multiple parameters adjustment and limitations in availability and affordability, recent advancements in artificial intelligence, particularly in AI-driven visual analysis, hold promise for addressing these issues. Here, we introduce LarvaeCountAI, an open-source convolutional neural network (CNN)-based tool designed to automatically count Culex annulirostris mosquito larvae from videos captured in laboratory environments. LarvaeCountAI does not require videos to be recorded using an advanced setup; it can count larvae with high accuracy from videos captured using a simple setup mainly consisting of a camera and commonly used plastic trays. Using the videos enables LarvaeCountAI to capitalise on the continuous movement of larvae, enhancing the likelihood of accurately counting a greater number of larvae. LarvaeCountAI adopts a non-invasive approach, where larvae are simply placed in trays and imaged, minimising any potential impact on larval mortality. This approach addresses the limitations associated with previous methods involving mechanical machines, which often increase the risk of larval mortality as larvae pass through multiple sections for counting purposes. The performance of LarvaeCountAI was tested using 10 video samples. Validation results demonstrated the excellent performance of LarvaeCountAI, with an accuracy ranging from 96.25–99.13% across 10 test videos and an average accuracy of 97.88%. LarvaeCountAI represents a remarkable advancement in mosquito surveillance technology, offering a robust and efficient solution for monitoring larval populations. LarvaeCountAI can contribute to developing effective strategies for reducing disease transmission and safeguarding public health by providing timely and accurate data on mosquito larvae abundance.
Activity, stability, and kinetic study of CuO/TiO2 Janus photocatalyst for rhodamine B degradation
Authors: Nazari Parisa , Sohrabi Somayeh , Akhlaghian Faranak , Mansouri Mohsen , Malek Mohammadi Mohammad Mehdi 
Published: May 2024

ABSTRACT

The CuO/TiO2 photocatalyst was synthesized using hydrothermal and sonochemical methods and subsequently applied to degrade rhodamine B in wastewater. The best synthesis conditions were established, determining Cu(NO3)2 solution concentration of 2.5 wt.% and calcination temperature of 500 °C. The CuO/TiO2 photocatalyst underwent characterization through various techniques, including inductively coupled plasma spectroscopy (ICP), photoluminescence, X-ray diffraction, ASAP, scanning electron microscopy (SEM), energy dispersive X-ray analysis (EDAX), transmission electron microscopy (TEM), and diffuse reflectance spectroscopy. TEM and SEM analyses revealed the presence of TiO2 nanowires and CuO nanoparticles. The Box–Behnken design, encompassing 27 experimental runs, assessed the impact of process variables such as initial dye concentration, pH, UV lamp power, and catalyst dose on the degradation process. The model's R2 value of 0.9893 indicated a high precision in fitting the predicted data to their actual values. Analysis of variance results highlighted UV irradiation power as the most significant variable within the design space. In addition, the CuO/TiO2 photocatalyst demonstrated efficacy under visible light irradiation. Light-expanded clay aggregate beads were chosen as the substrate for photocatalyst immobilization, which enhanced the reaction rate. The stability of CuO/TiO2 was evidenced by about 2% reduction in efficiency after four degradation cycles.
Recent Trends in Therapeutic and Electroanalytical Applications of
Boron-Doped Diamond Sensors
Authors: Soni Anish , Kaur Prabhjot , Bhatia Rohit , Kumar Rangra Naresh 
Published: May 2024

Abstract::
In recent years, research and development efforts have been heavily focused on conductive
diamond electrodes for electrochemical applications. Such initiatives may have been spurred by
their broad potential window, low background current, chemical inertness, and mechanical robustness.
Compared to other carbon-based materials, conducting diamond can oxidize several analytes
before the breakdown of water in aqueous electrolytes. Since the evolution of oxygen and hydrogen
does not obstruct the analysis, this is significant for the detection and/or identification of species in
solution. As a result, conductive diamond electrodes expand the application of electrochemical detection
and make it possible to use them for analytes that are incompatible with traditional electrode
materials. Fabricating boron-doped diamond films via chemical vapor deposition on different substrates
is of special interest. This article highlights the therapeutic and electroanalytical applications
of boron-doped diamond electrodes in various aspects in addition to the synthetic strategies to obtain
Boron Doped Diamond Electrodes (BDDE), the cost-effectiveness of BDD and its in-vivo compatibility
that will help the analytical researchers to learn almost everything about the previous studies
done on BDDE and encourage them to work more efficiently in this research field.
USP31 Activates the Wnt/β-catenin Signaling Pathway and Promotes Gastric Cancer Cell Proliferation, Invasion and Migration
Authors: Li Lan , Ye Limin , Cui Yinying , Wu Yueting , Shui Ling , Zong Zheng , Nie Zhao 
Published: May 2024

Background:
Gastric cancer (GC) has a poor prognosis because it is highly aggressive,
yet there are currently few effective therapies available. Although protein ubiquitination has been
shown to play a complex role in the development of gastric cancer, to date, no efficient ubiquitinating
enzymes have been identified as treatment targets for GC.

Methods:
The TCGA database was used for bioinformatic investigation of ubiquitin-specific protease
31 (USP31) expression in GC, and experimental techniques, including Western blotting,
qRT-PCR, and immunohistochemistry, were used to confirm the findings. We also analyzed the relationship
between USP31 expression and clinical prognosis in patients with GC. We further investigated
the effects of USP31 on the proliferation, invasion, migration, and glycolysis of GC
cells in vitro and in vivo by using colony formation, CCK-8 assays, Transwell chamber assays,
cell scratch assays, and cell-derived xenograft. Furthermore, we examined the molecular processes
by which USP31 influences the biological development of GC.

Results:
Patients with high USP31 expression have a poor prognosis because USP31 is abundantly
expressed in GC. Therefore, USP31 reduces the level of ubiquitination of the Wnt/β-catenin
pathway by binding to β-catenin, thereby activating glycolysis, which ultimately promotes GC proliferation
and aggressive metastasis.

Conclusion:
USP31 inhibits ubiquitination of β-catenin by binding to it, stimulates the Wnt/β--
catenin pathway, activates glycolysis, and accelerates the biology of GCs, which are all demonstrated
in this work.
Iris Recognition based on Statistically Bound Spatial Domain Zero Crossing and Neural Networks
Authors: Sudheesh K V , Puttegowda Kiran , Patil Chandrashekar M. , Ravi Vinayakumar , Al Mazroa Alanoud 
Published: May 2024

Purpose
The iris pattern is an important biological feature of the human body. The recognition of an individual based on an iris pattern is gaining more popularity due to the uniqueness of the pattern among the people. Iris recognition systems have received attention very much due to their rich iris texture which gives robust standards for identifying individuals. Notwithstanding this, there are several challenges in unrestricted recognition environments.

Methods
This article discusses a highly error-resistant technique to implement a biometric recognition system based on the iris portion of the human eye. All iris recognition algorithms of the current day face a major problem of localization errors and the enormous time involved in this localization process. Spatial domain zero crossing may be the simplest and least complex method for localization. Yet, it has not been used due to its high sensitivity to erroneous edges, as a consequence of which more complex and time-consuming algorithms have taken its place. Appropriate statistical bounds imposed on this process help this method to be the least erroneous and time-consuming. Errors were reduced to 0.022% using this approach on the CASIA v1 & v2 datasets. Time consumption in this stage was the least compared to other algorithms. At the comparison stage, most algorithms use multiple comparisons to account for translation and rotation errors. This is time-consuming and very resource-hungry.

Results
The current approach discusses a robust method based on a single comparison, which works with a correct recognition of over 99.78% which is clearly demonstrated by tests.

Conclusions
The technique is to use a neural network trained to recognize special statistical and regional parameters unique to every person’s iris. The algorithm also gives sufficient attention to consider illumination errors, elliptical pupils, excess eyelash errors and bad contrast.
Alteraciones en Funciones Psicológicas y Movilidad en Pacientes Amputados de Miembro Inferior por Diabetes Mellitus
Authors: Pedroza Ramírez Sharon Giuliana , Pérez Arreguín Daniel , Trejo Méndez Daniela , Paredes Guerrero Raúl Gerardo 
Published: May 2024

En México, alrededor del 5 al 7% de la población con diabetes (DM) tiene alguna amputación en miembros inferiores, representan el 81% de las amputaciones en México con 28 470 casos anuales dentro de un total de más de 935 mil personas con amputación. Sin embargo, a pesar de esta alta prevalencia es una población poco estudiada. El presente trabajo pretende evaluar diferentes variables psicológicas en personas con amputación unilateral de miembro inferior por DM tipo 2 (ADM) y sujetos control (SC) en México. Un segundo objetivo es correlacionar las variables psicológicas con el desempeño motor en sujetos con ADM. Se realizó un estudio transversal con muestreo no probabilístico por conveniencia en personas con ADM y SC. Se evaluó la movilidad del amputado de miembro inferior sin o con prótesis (AMPPRO), dominios cognitivos (MoCA-E), síntomas de ansiedad y depresión (BAI, BDI-II), salud física y mental (SF-36) y síntomas psicopatológicos. Los resultados mostraron diferencias significativas en los dominios de MoCA, excepto en Identificación, obteniendo los ADM menores puntuaciones. También se obtuvieron diferencias en los dominios de SF-36 de función y rol físico y salud general, con menor puntuación en el grupo ADM. No se obtuvieron diferencias en BAI ni BDI-II. La puntuación AMPPRO se correlacionó positivamente con la puntuación de función física, y negativamente con la de BAI y BDI-II. En conclusión, los sujetos con ADM muestran un desempeño más bajo en las funciones visoespacial, lenguaje, atención, memoria, abstracción y orientación. Esto indica que los pacientes amputados requieren una atención integral y no solamente el reemplazo del miembro perdido por una prótesis.
Impacto de la comprensión lectora en el aprendizaje de las matemáticas
Authors: Carballo Aguilar Oscar Ausencio 
Published: May 2024

En la actualidad, uno de los desafíos primordiales que enfrentan los estudiantes de niveles educativos primario y secundario es la deficiencia en la comprensión lectora, lo cual repercute de manera significativa en el proceso de aprendizaje de las matemáticas a escala nacional, como evidencian los resultados obtenidos en la evaluación PLANEA 2017 (Plan Nacional para la Evaluación de los Aprendizajes[1]). Por eso, en el presente estudio se procuró responder la siguiente interrogante: ¿cuál es la relación entre el nivel de comprensión lectora y el desempeño en matemáticas en alumnos de tercer año de la Escuela Secundaria Técnica nro. 71, ubicada en Torreón, Coahuila, México? Para responder esta pregunta se llevaron a cabo análisis estadísticos que comprendieron los siguientes pasos: 1) se evaluó la fuerza de asociación entre las variables de comprensión lectora (X) y matemáticas (Y), lo cual arrojó los siguientes resultados: la prueba de correlación de Rho de Spearman ( reflejó una correlación positiva baja, lo que indica que un incremento en la comprensión lectora se asocia con un aumento en el desempeño en matemáticas, aunque no necesariamente en la misma magnitud. Al respecto, cabe destacar que dicho coeficiente no establece una relación causal entre las variables, sino que ofrece una perspectiva sobre su comportamiento conjunto. 2) Se observó que el promedio de aciertos en comprensión lectora (22.16) fue significativamente superior al promedio en matemáticas (19.06), y 3) se determinó la ecuación lineal de regresión de Y respecto a X, que proporciona una aproximación de la relación de dependencia entre ambas variables, expresada como Y=6.472 + 0.568 X. Esta ecuación indica que cuando el nivel de comprensión lectora (X) es igual a 1, el desempeño en matemáticas (Y) es 0.568. En términos más claros, por cada incremento de 10 aciertos en comprensión lectora, se proyecta un aumento de 5.68 aciertos en matemáticas.
Pengembangan E-Modul Berbasis Problem Based Learning Pada Mata Pelajaran Akuntansi Perbankan Syariah Kelas XI Layanan Perbankan Syariah Di SMK
Authors: Qonitah Nabilah , Hakim Luqman 
Published: May 2024

Model ADDIE, yang dikembangkan oleh Dick and Carry, digunakan dalam penelitian ini. Model ini terdiri dari tahap analisis, desain, pengembangan, implementasi, serta evaluasi. Tujuan penelitian adalah untuk mengembangkan, menganalisis kelayakan dan mengevaluasi respon siswa akan e-modul berbasis problem based learning. Uji coba dilaksanakan pada siswa kelas XI Layanan Perbankan Syariah (LPS) di SMKN2 Kota Mojokerto. Hasil penelitian menyatakan pengembangan e-modul mendapatkan penilaian dari ahli materi sebanyak 89% interpretasi “sangat layak”, ahli bahasa sejumlah 97% interpretasi “sangat layak”, serta ahli grafik sebanyak 80% interpretasi “layak”. Kesimpulannya yaitu dari penilaian para ahli, kriteria e-modul sangat layak serta respon peserta didik memperoleh kriteria sangat layak.
Fragmented acupuncture needle as a linear metallic foreign body near the proximal interphalangeal joint of a horse
Authors: Trostle Steven S. , Kearney Elizabeth M. , Medoff Megan , Devaney Shawn 
Published: May 2024

Abstract

OBJECTIVE
To describe the clinical presentation, diagnosis, and treatment of a fragmented, migrating acupuncture needle near the palmar proximal interphalangeal joint (PIPJ) of a horse.

ANIMAL
A 9-year-old Warmblood cross mare.

CLINICAL PRESENTATION, PROGRESSION, AND PROCEDURES
The mare presented for evaluation of a linear metallic foreign body on the palmar lateral aspect of the PIPJ following acupuncture treatment. The mare had a pinpoint puncture wound and sensitivity to palpation over the lateral aspect of the PIPJ region. The referring veterinarian performed radiographs and found a linear metallic foreign body near the lateral palmar PIPJ. Ultrasonographic examination demonstrated a hyperechoic lesion consistent with a metallic object in the soft tissues of the palmar lateral aspect of the PIPJ.

TREATMENT AND OUTCOME
The horse was anesthetized, and the linear metallic foreign body was removed. The use of intraoperative ultrasound and digital radiographs assisted in determining the location of and surgical approach to remove the foreign body. The linear metallic foreign body was the fragmented segment (body) of an acupuncture needle. The mare recovered from surgery uneventfully and returned to the previous level of activity.

CLINICAL RELEVANCE
This report demonstrates the potential risks of prolonged retention and or delayed removal of acupuncture needles in the form of needle fragmentation and migration. It also demonstrates the use of imaging in determining the location and position of small, thin metallic foreign bodies to aid in surgical approach and removal.
A Single Fahter’s Caregiving
Authors: Waroka Linda Ardiya , Rahmatullah Azam Syukur , Suud Fitriah M. , Sairin Sjafri 
Published: May 2024

Objective: This research aims to examine the intricate dynamics of single-parent households in Indonesia, specifically focusing on the role of fathers as single parents, which is shaped by their work responsibilities and duties before and after divorce.

Method: This research utilizes a qualitative phenomenological methodology, employing snowball sampling to collect data through in-depth interviews. An interview was done to collect data on the father's pre-divorce experience, encompassing his initial parental role, changes in his obligations after the divorce, his level of involvement in raising the kid, and the difficulties he faced.

Results and Discussion: The research shows that fathers act as breadwinners, caregivers, mentors and protectors of children. Challenges include managing time between work and children, educating them in worship, and overcoming social expectations and shyness. This research underlines the hopes of single fathers for their children to grow up independent, intelligent and responsible. This research reveals the diversity of fathers' roles as single parents, influenced by work, reasons for divorce, and roles before and after divorce. Fathers face embarrassment, difficulties caring for children, working outside the city, and leaving children alone. Although complex, the role of single fathers shows a positive impact on children's academic performance. Fathers hope to see his children succeed and love their father.

Originality/Value: This research offers a comprehensive examination of the father's role as the exclusive caregiver in the upbringing of children.
Causes of High Turnover Intention: Due to Work Family Conflict and Work Environment Factors
Authors: Hasanah Uswatun , Bagis Fatmah 
Published: May 2024

Purpose: This study aims to empirically test a research model that further investigates the influence of the work environment on turnover, the influence of work-family conflict on turnover, and whether there is a mediating effect of work-family conflict on turnover intention.

Theoritical Framework: This research uses the Theory of Planned Behavior. The intention to move comes from individual intentions that cannot be felt and after feeling out of control they will decide to leave their job which is also supported by other factors. This theory can also see that the nurse's work environment and WFC contain three standards (time-based conflict, tension-based conflict, and behavior-based conflict) which function as the main predictors of turnover intention in nurses.

Design/methodology/approach: This study uses a quantitative approach. The respondents of this research were employees of private Hospitals in Karasidenan Banyumas, with a population of 285 employees with a sample of 240 people calculated using the Slovin formula with a margin of error of 10%. Respondents in this study were dominated by women. The average age of respondents is 20-25 years. The sampling technique used was quota sampling by setting quotas based on the proportion of each hospital. This research uses a Structured Equation Modeling (SEM) application based on Partial Least Square (PLS).

Findings: This finding shows that a favorable relationship between the work environment and work-family conflict both have a significant effect on turnover turnover because the P-value shows <0.05. And the mediation results showed that work-family conflict can mediate the relationship between the work environment and the intention to move with a significance value of 0.040.

Research, Pratical & Social Implication: The study is similar to research conducted by Abdou et al., (2022) in the hospitality sector which revealed that the perception of work environment hospitality has a direct impact on employee turnover intentions through WFC which partially mediates the relationship between research components. This study has a limitation, namely concentrating on the variable Work-Family Conflict as a mediator in the relationship between the nurse's work environment and turnover intention. WFC as a mediation hopefully can be a reference for further research. Another limitation is that this research only examines the nursing sector, and in the future it could be carried out in other sectors such as the hotel sector or other service sectors.

Originality/value: This study examines the impact of the work environment on turnover turnover, the effect of work-family conflict on turnover turnover, and whether there is a mediating effect of work-family conflict on the intention to move.
Microbial Fuel Cells Performance Evaluation through the Application of Fuzzy Logic
Authors: Cardozo Matheus Henrique Alcântara de Lima , Rodrigues Isabel Cristina Braga , Fabiano Demian Patrick , Nucci Edson Romano 
Published: May 2024

Objective: This work aimed to employ fuzzy logic combined with the design of experiments technique to statistically evaluate how the microbial fuel cells operating parameters influence their performance.

Theoretical Framework: Microbial fuel cells (MFC) are a technology of interest in the current scenario as they allow simultaneously promoting the biotreatment of waste and the bio generation of electrical energy.

Methodology: Through a bibliographical search based on publications on Google Scholar platform over the last 10 years, it was noticed that anode area, external electrical resistance and reactor volume are the most reported input parameters in MFC research and current density and power density are the output parameters most frequently portrayed in these studies, which is why these variables were selected for statistical investigation.

Results and Discussion: The results showed that, for both outputs studied, reactor volume and anode area showed a positive effect, while the external electrical resistance showed a negative effect. It was also possible to develop mathematical models that indicated the relationship between the input and output variables studied, with statistical significance for power density model (R2 = 86%).

Originality: Applying computational simulations and subsequent design of experiments to obtain results in accordance with those obtained experimentally in the laboratory.