bluuebunny/crossref_metadata_2025 huggingface dataset:
Interleukin family (IL-2 and IL-1β) as predictive biomarkers in Indian cancer patients: A proof of concept study
Authors: Parthasarathy Pooja , Jennis Pramod Mercy , Vijaykumar Kasture Pooja , S Archana , N V Bhavana , Rao Jyothsna , Rao Gururaj
Published: September 2023

The immune system protects and defends its host against disease through immune cells. Immune cells such as T lymphocytes play a critical role in disease and health by producing key cytokines (pro-inflammatory TH1 or anti-inflammatory TH2). The inflammatory cytokines produced by immune cells such as peripheral blood mononuclear cells (PBMCs) may suppress the immune state or can lead to disease progression. In our study, we evaluated the functionality of resting PBMCs as well as phytohaemagglutinin mitogen (PHA-M) stimulated PBMCs in cancer patients and healthy controls in the Indian population. PHA-M was used as an activator of PBMCs and served as an index to assess the ability of PBMCs in both cohorts to respond to a superantigen stimulus. We hypothesized that key cytokines (TH1 and TH2 cytokines) could serve as biomarkers to assess the immune status of cancer patients based on the functionality of PBMCs primarily in resting conditions and their ability to respond to PHA-M. In our study, we found that PBMCs from cancer patients showed a marked difference in their resting and activated cytokine profiles with respect to Interleukin-2 (IL-2) and Interleukin-1β (IL-1β) as compared to their healthy counterparts. The study also demonstrated changes in Interleukin-10 (IL-10) profiles which require further study. These cytokines may serve as a potential predictive biomarker and provide the basis to form an immune index for each individual – a tool that could be used to prescribe treatment and therapies for cancer patients.
Suppress that algae: Mitigating the effects of harmful algal blooms through preemptive detection & suppression
Authors: Natarajan Sharanya , Natarajan Sanjay
Published: September 2023

Recently, Harmful Algal Blooms (HABs), e.g., toxic red tide and blue-green algae, have suffocated and plagued coastlines and inland water bodies leading to economic losses. Currently, batch data collection in many areas is inadequate and reactionary following regional fish kills. Therefore, there is an inherent need for a “smart” solution aimed at preemptive detection and mitigation of the impending super bloom through combination of concurrent measurements, modeling, and mitigation using suppression agents. Our hypothesis is if a Seek and Destroy Algal Mitigation System (SDAMS) is engineered with a multitude of capabilities, including remote algal parameter sensing, wireless data transmission, and mitigation using suppression agents, then it will preemptively detect and mitigate HABs. The SDAMS includes (i) a floatation device with a Wi-Fi microcontroller and five sensors for concurrent measurements, (ii) real-time data transmission to the cloud, (iii) data visualization; diagnostic and predictive analysis, and (iv) an algae suppression component. During laboratory testing, physical and chemical agents used for mitigation noticeably suppressed the algae in various ways. Algal suppression occurred by either reducing pH, increasing Dissolved Oxygen (DO), or exerting high mechanical properties. We conducted predictive analytics to quantify the influence of the suppression agent on algae and compared the green spectrum strength (indicating algal intensity) to the DO concentration. Using machine learning, a 4th order polynomial equation with 94% accuracy provided the best curve-fit to explain the green spectrum-to-DO relationship. This cost-effective solution can be applied to instantaneously suppress, or preemptively mitigate, HABs to minimize environmental impacts.
Integrating microbial fuel cell with sedum green roof for stormwater retention and renewable energy generation
Authors: Liao Jocelyn , He Zhen
Published: September 2023

Climate change brings frequent and intense storms, which challenge aging stormwater infrastructures. As a sustainable stormwater solution, green roofs are being more frequently used in urban areas. However, high installation and maintenance costs have limited applications of green roofs on a large scale. A plant microbial fuel cell (P-MFC) is a novel technology that uses bacteria living around the root of plants to generate electricity. This study explores the integration of P-MFCs with an extensive green roof module for the dual benefit of stormwater runoff reduction and renewable energy generation. While most P-MFC systems in the literature are based on flooded plants, the green roof MFC developed in this study uses sedum plants which are among the most common vegetation layers for green roof solutions. We hypothesized that MFC efficiency could be improved by introducing a water storage layer and capillary sub-irrigation. Moreover, the capillary irrigation wick can function as a salt bridge to further enhance power generation. Three prototypes were fabricated to test our hypotheses, including a control unit without sub-irrigation and two units with capillary irrigation and one with additional salt bridge configuration. Experiments demonstrated that capillary irrigation and the salt bridge configuration significantly increased P-MFC’s power density and decreased the internal resistance. The research demonstrated that green roof modules with integrated P-MFCs can be a renewable energy generator, promoting the adoption of green roofs as sustainable solutions for climate resilience by simultaneously reducing storm floods, capturing carbon dioxide (CO2) in the atmosphere, and producing green electricity.
Investigating facilitated biofilm formation in Escherichia coli exposed to sublethal levels of ampicillin
Authors: Yang Anna , Kim Ben , Edgar Michael
Published: September 2023

Communities of bacteria known as biofilms occupy surfaces to provide protection against environmental threats, including antibiotics. Biofilms formed by pathogenic bacteria in vivo, like on surfaces of medical implants, may cause serious infections. The reduced antibiotic penetration due to the presence of an extracellular polymeric substance matrix makes biofilm infections particularly difficult to treat. To investigate biofilm formation in the context of antibiotic treatments, we studied the effects of extended sublethal exposure to the antibiotic ampicillin on Escherichia coli biofilm formation and ampicillin resistance. We hypothesized that low ampicillin concentrations would facilitate biofilm formation by imposing selective pressure, while higher concentrations would eliminate biofilms. We exposed E. coli bacteria grown in LB medium to varying ampicillin concentrations throughout their growth. We quantified bacteria for biofilm formation using an optical density crystal violet assay. Acquired antibiotic resistance was measured after 24 hours of growth. Bacteria grown in low concentrations of ampicillin demonstrated increased biofilm formation over time, in comparison to bacteria selected under no ampicillin or high ampicillin. Measurements confirmed that biofilm-selected bacteria generally demonstrated higher antibiotic resistance than planktonic (free-floating) bacteria. Antibiotic exposure favors the more resistant biofilm bacteria, promoting instead of eradicating biofilm formation over time. The selection for biofilm-forming E. coli in ampicillin-present cultures in vitro provides crucial insight into the therapeutic efficacy of antibiotic treatments.
The effect of workspace tidiness on schoolwork performance of high school students
Authors: Annes Charlotte K , Taylor Jordan A , Hallock Robert M
Published: September 2023

Adolescents tend not to prioritize organization. Previous research indicates that the degree to which a student's workspace is organized can impact their academic performance. Current literature shows that an organized desk produces better focus and efficiency. Prior studies focused on college students, the professional workplace, and home clutter. However, no literature explored these effects on high school students. The impact of tidy workspaces on adults cannot be assumed to hold for adolescents because of differences in development. Here, we investigated changes in the accuracy and efficiency of high school students when completing an academic task in organized and disorganized environments. We hypothesized that high school students would perform worse, in terms of accuracy and efficiency, in a disorganized environment. Twenty-three high school student volunteers were given a standardized math test in both organized and disorganized workspaces. While students answered more questions and more questions correctly on average in the organized environment, a repeated measures t-test indicated that statistical significance was not reached. Despite this study's lack of statistical significance, further research on this topic is warranted.
Analysis of the lung microbiome in cystic fibrosis patients using 16S sequencing
Authors: Pinnaka Manasvi , Chrisman Brianna
Published: September 2023

Cystic fibrosis (CF) patients often develop lung infections that range anywhere in severity from mild to life-threatening due to the presence of thick, sticky mucus that fills their airways. Since many of these infections are chronic, they not only affect a patient’s ability to breathe but also increase chances of mortality by respiratory failure. Examining the lung microbiology of CF patients can help with the prediction of the current condition of lung function, with the potential to guide doctors when designing personalized and thereby more effective treatment plans for patients. With a publicly available dataset of DNA sequences from bacterial species in the lung microbiome of CF patients, we investigated the correlations between different microbial species in the lung and the extent of deterioration of lung function. 16S sequencing technologies allowed us to determine the microbiome composition of the samples in the dataset. We found that the Fusobacterium, Actinomyces, and Leptotrichia microbial types all had positive correlation with forced expiratory volume in 1 second (FEV1) score, indicating potential displacement of these species by pathogens as the disease progresses. However, the dominant pathogens themselves, including Pseudomonas aeruginosa and Staphylococcus aureus, did not have statistically significant negative correlations with FEV1 score as described in past literature.
The effect of sports on teenagers’ depression symptoms during the COVID-19 pandemic
Authors: Dzgezen Tlin Su , Akman lhan Emre
Published: September 2023

Throughout 2020 and 2021, many student teenagers were unmotivated and miserable. News of death, disease processes, alienation from society, and active use of social media affected people's mental health severely during the pandemic. Some schools provided student with the opportunity to do sports online. In this study, we sought to investigate the relationship between doing sports and depressive symptoms during the pandemic as we observed many students appeared unmotivated and wanted to see if any factors made a difference. We collected Beck Depression Inventory (BDI) scores from students, aged 15 and 16 years, and compared the data to find a relation. We hypothesized that students who did not participate in sports during the pandemic would have higher BDI scores and a higher level of depressive symptoms than students who did participate in sports. We observed a significant correlation between depressive symptom levels and sports status. In our study we saw that 9 out of 10 students with severe depression symptoms did not do sports. We found no significant relationship between depressive symptoms and either gender or place of exercise. Our results show that doing sports can be a good solution for adolescents to cope with the negative effects of quarantine and general depression.
Solving the Schrödinger equation computationally using the Lanczos algorithm
Authors: Longtin William , Surrao Kristin
Published: September 2023

The Schrödinger equation is a fundamental equation in quantum mechanics that describes the behavior of particles in terms of wave functions. These wave functions provide a probabilistic description of where the particle is likely to be found, making them a crucial tool for understanding how particles interact with their environment. Methods for solving the Schrödinger equation analytically tend to be very mathematically complex, leading us to look for other ways to solve the Schrödinger equation. Unfortunately, in most cases, the Schrödinger equation cannot be solved for an exact solution. There are methods, however, for approximate solutions. In this paper, we investigated the Lanczos algorithm, a computational method that can solve the 2D Schrödinger equation in cases where finding an analytical solution would not be feasible. We discretized the Schrödinger equation, then ran a Python program using the Lanczos algorithm to solve for the ground state wave function. We hypothesized that the Schrödinger equation could be solved computationally for the ground state wave function using the Lanczos algorithm. We found that this method efficiently solved the Schrödinger equation for complicated 2D potentials. Additionally, we verified the accuracy of the method by comparing the results with wave functions from problems with known, exact solutions.
Building deep neural networks to detect candy from photos and estimate nutrient portfolio
Authors: An Louwyn Mingze , Zhu Roy Junda , An Ruopeng
Published: September 2023

Approximately one third of American youth consume candy on a given day. Consuming excess candy contributes to added sugar intake and may lead to tooth decay and other health concerns. Diet-tracking apps may inform and help regulate candy consumption but depend on the availability of annotated candy image data and predictive models. A recent review documented differences in daily intakes of calories and macronutrients between app predictions and ground truths ranging from 1.4%–10.4%. Transfer learning-based deep neural networks could outperform those benchmarks and reduce the error margin. We built a dataset of 1,008 images comprising nine common candy types and developed four neural network models to detect candy pieces. The best-performing model achieved a mean average precision of 0.8736 for localizing candy pieces of different types in the validation dataset and an accuracy of 99.8% for predicting the quantity and types of multiple candy pieces in the test dataset. By combining candy type-specific nutritional information obtained from the nutrition facts label, the model accurately estimated (within an error margin of 0.5%) the aggregate nutrient portfolios, including total calories, total fat, saturated fat, cholesterol, sodium, carbohydrates, total sugars, and added sugars, of all candy pieces shown in an image. This study demonstrates the feasibility of automating candy calorie/nutrition counting using photos, which may facilitate the development of diet-tracking apps to provide real-time, accurate nutritional information to inform candy consumption.
Socio-economic factor impact on malnutrition in South Indian government school children
Authors: Nandivada Vedanth , Gurtoo Anjula
Published: September 2023

India finds itself in a vulnerable position with the highest prevalence of malnutrition in the world. In this study, we investigated the various socio-economic factors affecting the amount and variety of calories consumed by children studying in government schools in South India. After a pilot study, we conducted an online survey of 214 children (boys=95, girls=119) between the ages of 13–16 years in three states of India. Overall, we found that 63% of the children had a caloric intake of less than 1,500 calories per day, which is lower than World Health Organization guidelines of 2,100 calories. Parental education, parental income, parental diet reminders, and geographical area were significant factors influencing the total calorie intake among the participants. Cohen's D test revealed a medium effect size for parental income and a large effect size for parental diet reminders. Chi-square test confirmed that geographical location, income, and parental education were not correlated with one another, affecting the total calorie consumption independently. Parental reminders and income had a significant influence across all components of total calories including carbohydrates, proteins, fats, and vitamins/minerals. To alleviate malnutrition, in addition to alleviating the income challenges, other initiatives include improving parental education and parental awareness of a balanced diet, such that parents can enable healthy diet habits among children.
Implementing machine learning algorithms on criminal databases to develop a criminal activity index
Authors: Aggarwal Krishiv , Iyer Akash , Nair Gautam , Sankar Risab , Balaji Ananya , Kathi Bharat , Boranna Samart , Burugu Vineet , McMahan Larry N
Published: September 2023

Criminal activity is a major concern in today's society. Local police agencies collect and analyze vast amounts of data to prevent future crimes from taking place and protect vulnerable populations. However, despite the availability of publicly accessible data, such as the Open Justice California website, there remains a lack of efficient methods for relaying this information to the public in a digestible format. Our research aims to bridge this gap by utilizing machine learning techniques to correlate crime data with a range of explanatory factors. We first employed a clustering algorithm to normalize the data based on population. Then we tested five different predictive algorithms to determine the most effective machine learning model. Our results indicated that a neural network approach was more accurate based on our training in predicting crime rates. Additionally, we hypothesized that higher median income, lower population density, lower unemployment duration, and lower median age would be associated with lower crime rates and that these associations would be statistically significant. Our results show that median income, population, and unemployment duration all have a significant correlation with crime rates in California while median age does not.
Impact of aluminum surface area on the rate of reaction with aqueous copper (II) chloride solutions
Authors: Lee Anthony , Joseph Melvin , Moore Joel D
Published: September 2023

Throughout this experiment, we investigated the change in reaction temperature over the course of 120 seconds, with 30 second benchmarks, following the introduction of either aluminum strips or granular aluminum to variable concentrations of CuCl2(aq) in order to gain insight into the role that metal surface area plays within the rate of this single replacement reaction. We prepared solutions of CuCl2 (ranging from 0.33M to 1.00M) and mixed each solution with aluminum strips and granular aluminum; we then conducted three trials for each resulting reaction. We found that, for the aluminum strips, the experiments demonstrated an expected increase in temperature, with the 0.33M mixture increasing by 5.2 degrees, 0.66M mixture increasing by 14.8 degrees, and the 1.00M mixture increasing by 36.4 degrees. However, granular aluminum did not follow this same trend, as the temperature of the 0.33M mixture increased by 9.8 degrees, the temperature for the 0.66M mixture increased by 29.3 degrees, and the temperature for the 1.00M increased by 25.6 degrees. It was demonstrated that when CuCl2 solutions were mixed with aluminum strips, the change in temperature followed a linear relationship, however when CuCl2 was mixed with granular aluminum, the 0.33M mixture created a linear trend, but the 0.66M mixture and the 1.00M mixture did not show a trend, thereby concluding that by collision theory, the greater surface area inherent to granular aluminum allowed a faster reaction rate compared to the aluminum strips.
Artificial intelligence assisted violin performance learning
Authors: Zhang Hannah , Talagala Nisha
Published: September 2023

While learning the violin has many benefits, some people don't have access to teachers. Furthermore, music students typically have a week in between lessons, during which time they lack guidance – feedback that can greatly improve performance – on their practice. Our study explores an “artificial music tutor” for assisting violinists. We aimed at detecting major solfège errors in instrumental play. We hypothesized that artificial intelligence (AI) algorithms Random Forest, K Nearest Neighbor, and Multilayer Perceptron would identify errors. We further hypothesized that Random Forest would perform the best given its viability across applications requiring classification tasks. To build the AI, we gathered violin recordings played correctly and with errors, which we translated into a featurized dataset. We trained AI algorithms to distinguish between correct and incorrect recordings using two datasets. The first dataset contained one correct recording and three incorrect intonation, rhythm, and tempo recordings per piece. We achieved 100% accuracy with Random Forest in detecting recordings. The second dataset contained two correct recordings and three incorrect intonation, rhythm, and tempo recordings per piece. The highest accuracy was 71.42% for distinguishing between both incorrect tempo vs. intonation with Random Forest and incorrect rhythm vs. intonation with Multilayer Perceptron. Our findings support our hypothesis that Random Forest is generally the most accurate algorithm. However, Multilayer Perceptron also achieved the highest accuracy for the second dataset, so we concluded it is suitable for identifying performance errors. This AI will assist musicians in practicing without a teacher, showing players where they can improve.
Building an affordable model wave energy converter using a magnet and a coil
Authors: Choy Landon , Yamashita Grant , Choy Lori
Published: September 2023

Locally produced, renewable energy is of paramount importance for Hawaiʻi and other island communities to secure a sustainable future. Hawaiʻi, which has the highest electricity prices in the United States, is also the most petroleum-dependent state in the nation. Existing solutions like solar and wind power can only generate energy 20-30% of the time. In contrast, the ocean can generate power 90% of the time, making it a much more reliable source of clean energy. This project investigates an affordable, small-scale model wave energy converter (WEC) that can convert the potential energy in waves into electricity. Oscillating water levels from waves can be used to move a magnet through a coil using a float to produce electricity, employing Faradayʻs Law of Induction. We attached a fishing float to a neodymium magnet that moved through a coil to induce a voltage inside a fabricated wave tank. We tested coil diameter, wave amplitude, the number of coil turns, the number of magnets, and corrosion to observe their effects on the device’s energy output. We found that increasing all variables aside from corrosion led to an increase in voltage and current production. We increased the coil diameter, the number of coil turns, and the number of magnets to produce 92.6 mV and 61.0 mA compared to the original 3.5 mV and 1.9 mA. This device demonstrates Faraday’s Law of Induction in action while generating energy using waves. Wave energy is a promising and underexplored resource that can mitigate the reliance on fossil fuels in Hawaiʻi and other island communities.
Influenza vaccine effectiveness by age for Influenza A/B viruses between 2011-2020
Authors: Chow Joshua A , Gulamhusein Khaleeya , Shah Vaishvi , Galbraith Andrew
Published: September 2023

Understanding whether influenza vaccine effectiveness (VE) varies by age is crucial to determine which populations need refinements in vaccination strategy or additional measures to reduce influenza rates, hospitalizations, and deaths. Our objective was to analyze the mean VE for different strains of influenza across five age groups: 6 months–8 years, 9–17 years, 18–49 years, 50–64 years, and 65+ years old. We used VE data for Influenza A, H3N2, and H1N1 strains, and Influenza B vaccines from the Centers for Disease Control and Prevention (CDC), collected between 2011–2020. We compared VE rates across different years, strains, and age groups. Overall, VE varied significantly by year, strain, and age group (p < 0.05, one-way ANOVA). The youngest age group (6 months–8 years) had a significantly higher VE than both the 18–49 years old and 65 years old or greater age groups (p<0.05, one-way ANOVA). Future vaccine development should be tailored to these two distinct populations to ensure adequate protection against influenza.
Impact of hog farming on water quality of aquatic environments in North Carolina
Authors: Kancharla Arjun Sai , Samuga Anita
Published: September 2023

North Carolina is the second largest hog producer in the nation and the large amounts of waste produced by hog farming can contaminate water bodies through runoff, leaching, and improper waste management. In this study, we collected samples from two water bodies near three hog farms and one aquatic environment that is not near a hog farm. We hypothesized that water bodies near the hog farms would have lower water quality with higher turbidity, total dissolved solids (TDS), and pH than the water body not in proximity to a hog farm because of water contamination with hog waste. To test this hypothesis, we built an inexpensive and portable water quality sensor using an Arduino UNO Rev3 microcontroller to measure the three aforementioned parameters. We collected water from four sublocations at each of the three experimental locations and two timepoints. The results showed that the turbidity was 4–6 times higher, TDS was 1.5–2 times higher, and pH was 3 units higher in the 2 experimental locations compared to the control location. This indicates that the water bodies near hog farms have lower water quality, which is not suitable for aquatic life and is likely to be negatively impacted by hog farming. This study and its findings are important for understanding the impact of hog farming on the proximal water bodies.
IMPROVING MATH COMPUTATION VIA SELF-MONITORING AND PERFORMANCE FEEDBACK
Authors:   Florida International University, Ossa Nathaly , Pham Andy V. , Pelaez Martha , Lazarus Philip J.
Published: September 2023

The current study investigated the efficacy of a self-monitoring intervention implemented to four second-grade students in a general education classroom. The participants showed inconsistent math computational skills and accuracy scores below 75% on math screening measures. Using a B-A-B withdrawal design, the self-monitoring intervention components included a visual graph and verbal performance feedback. Students graphed the number of problems they answered correctly (accuracy) and performance feedback was given to them on their completion of math problems (productivity). Progress was monitored using curriculum based measurement in mathematics (M-CBM), by recording digits correct per minute (DCPM) for each math probe. The results indicated that the self-monitoring intervention demonstrated modest improvement across participants. Future research and practical implications are discussed on the use of self-monitoring interventions and performance feedback for young children in a classroom context.
LA DENSIDAD DE LA RETROALIMENTACIÓN COMO MODULADOR DE LA VARIABILIDAD Y ESTEREOTIPIA CONDUCTUAL EN TAREAS DE DISCRIMINACIÓN CONDICIONAL EN NIÑOS Y JÓVENES
Authors:   Universidad de Guadalajara (México), Pérez Ortiz Saraí , Martínez Sánchez Héctor ,   Universidad de Guadalajara (México), Zepeda Riveros Idania ,   Centro Universitario de la Ciénega, Universidad de Guadalajara (México)
Published: September 2023

El propósito de este estudio fue evaluar si la retroalimentación intermitente proporcionada cada tercer ensayo (parcial), o al final de la sesión (demorada) tiene una función inhibidora en comparación con la retroalimentación continua (i.e., cada ensayo) sobre la ejecución de niños y jóvenes en una tarea de discriminación condicional con requerimientos de variabilidad y estereotipia bajo distintas secuencias de entrenamiento. Se evaluaron doce grupos de niños y doce de jóvenes (n=5) combinando dos secuencias de entrenamiento alternando repetición y variabilidad y dos secuencias manteniendo la misma tarea de repetición o variabilidad con los tres valores de retroalimentación. En la tarea de variabilidad una elección diferente a la del ensayo previo era una respuesta correcta. En la tarea de repetir una elección era correcta si era igual a la del ensayo previo. Se encontró que la retroalimentación demorada no favoreció la adquisición ni el mantenimiento de la conducta variable pero sí fue efectiva en el mantenimiento de las respuestas de repetición. La retroalimentación continua mostró los mejores puntajes en la mayoría de las secuencias. La retroalimentación parcial no afectó la ejecución de la respuesta repetida o variable cuando se mantuvo la misma tarea pero si disminuyeron los aciertos cuando las tareas fueron alternadas. Los grupos con retroalimentación demorada fueron afectados negativamente por el entrenamiento inicial tanto en estereotipia como en variabilidad. En ambos grupos de edad se observaron diferencias en el número de errores y las latencias, independientemente de la cantidad de retroalimentación recibida. Los resultados son discutidos con relación al papel de la retroalimentación como una variable que influye en las condiciones que inducen, controlan y mantienen las conductas de variabilidad y estereotipia en humanos.
A FUNCTIONAL ANALYSIS OF BEHAVIOR IN THE BALLOON ANALOGUE TASK
Authors:   Arizona State University, Robles Elias
Published: September 2023

In the balloon analogue task, a continuous schedule of positive reinforcement and a random ratio schedule of punishment for “pump” responses operate simultaneously, along with the opportunity to terminate each trial and avoid an impending punishing stimulus. In this study, the functional properties of game points and point losses were analyzed in three groups of college students (N=92) by varying the density of balloon explosions throughout the 30-balloon session. The within-session changes in density of explosions produced immediate systematic adjustments in pump responses per balloon. The results showed that 1) the number of pumps per balloon is sensitive to the local probability of explosions; 2) the suppression brought on by explosions depends on the temporal distance to the last explosion and the number of consecutive explosions; 3) suppression appears to be non-linear, with stronger effects as the local probability of explosions increases; and, 4) within limits, points without assigned extrinsic value may serve as reinforcers in the balloon analogue environment for populations with a history of game playing. Given these findings, a valuable strategy for future research may be to study differential reactivity to wins and losses as a proximal determinant of total scores that is amenable to experimental analysis.
ESTRUCTURA CÍCLICA Y SINCRONÍA EN LA INTERACCIÓN MADRE-INFANTE
Authors:   Facultad de Psicología. Universidad Nacional Autónoma de México, Romero Sánchez P. , López Rodríguez F.
Published: September 2023

El ritmo de participación es una forma de medir la organización temporal implicada en la configuración de la sincronía en la interacción madre-bebé. No obstante la evidencia en relación al patrón característico de estos intercambios sociales tempranos es contradictoria. El presente estudio se dirige a evaluar la estructura del ritmo en la conducta de la madre y del bebé, y a determinar el nivel de coordinación en la díada bajo las condiciones de periodicidad prevalentes. Se registró la vocalización de la madre y la atención del bebé en 40 díadas, bajo situaciones de juego libre. A partir del registro continuo de las categorías conductuales, se elaboraron series temporales que fueron sometidas a análisis espectral para la identificación de oscilaciones regulares en las series, asimismo se aplicaron análisis bivariados para determinar el nivel de coherencia en las series temporales de cada miembro de la díada. Los resultados indican un patrón cíclico de uno o dos periodos en los modelos sinusoidales,con valores en el periodo mayores de 60 segundos en general. Se observaron bajo estas condiciones índices de coherencia de nivel moderado. Se discuten las implicaciones de los patrones cíclicos como condición que favorece la sincronía en el intercambio social temprano.
DISCRIMINACIÓN DE SEGUNDO ORDEN, ESTÍMULOS COMPUESTOS Y ENTRENAMIENTO EN MÚLTIPLES EJEMPLARES EN NIÑOS DE DESARROLLO TÍPICO
Authors:   Universidad de Sevilla (España), Caballero Hermosín Carmen , Gil-Rodríguez Marianela ,   Universidad de Sevilla (España), Basulto Delgadillo Esperanza ,   S.E.P. (México), Gutiérrez Domínguez Mª Teresa ,   Universidad de Sevilla (España), García García Andrés ,   Universidad de Sevilla (España)
Published: September 2023

Para esta investigación se trabajaron dos líneas, el entrenamiento en múltiples ejemplares, y el tipo de procedimiento mediante el cual se realizó dicho entrenamiento. Se evaluaron dos procedimientos, uno basado en discriminaciones condicionales de segundo orden, y otro en discriminaciones condicionales de estímulos compuestos. El experimento se llevó a cabo en tres fases: prueba inicial, entrenamiento y prueba post-entrenamiento. Para ello se utilizó una muestra de 40 niños y niñas de dos grupos de edad, 7-8 y 9-10 años, 20 participantes (10 del grupo 7- 8 y 10 del grupo 9-10) se asignaron aleatoriamente al grupo de discriminación condicional de segundo orden, y los otros 20 participantes (10 del grupo 7-8 y 10 del grupo 9-10) se asignaron aleatoriamente al grupo de estímulos compuestos. Los objetivos del estudio era comprobar si ambos procedimientos son válidos para la derivación de respuesta de equivalencia, si hay diferencias significativas entre ellos, y comprobar por otro lado, si existen diferencias significativas con respecto a la variable edad. No esperábamos diferencias en este aspecto. A excepción de dos participantes, todos los demás adquirieron el criterio de respuesta sin diferencias significativas ni para el tipo de procedimiento que se usó ni para la edad de los participantes. Todos superaron la prueba post-entrenamiento, la cual evaluaba si se había producido o no la derivación de la respuesta de equivalencia-equivalencia. Estos resultados no solo confirman nuestras hipótesis, si no que amplían el campo de estudio de las relaciones de equivalencia-equivalencia, al arrojar nuevos tipos de procedimientos por los que niños de desarrollo típico adquieren dicho tipo de relaciones entre estímulos.
SIMULATING NEGOTIATIONS OVER LIMITED WATER RESOURCES: A MULTI-AGENT SYSTEM APPROACH FOR IRRIGATION SYSTEMS
Authors:   LAROSERI, Department of Computer Science, Chouaïb Doukkali University (Morocco), Belaqziz Salwa , Page Michel Le Page ,   CESBIO Centre d'Etudes Spatiales de la BIOsphère. (France), Aparicio Carlos F. ,   Department of Psychology, Salem State University (USA), Kharrou Mohamed Hakim ,   ORMVAH, Office de Mise en Valeur Agricole du Haouz, Marrakech. (Morocco), Khabba Saïd ,   LMME, Département de Physique, University Cadi Ayyad Marrakech, (Morocco), El Fazziki Aziz ,   LISI Département d'Informatique, University Cadi Ayyad Marrakech (Morocco), Hennigan Paul ,   Department of Psychology, Salem State University (USA), Jarlan Lionel ,   CESBIO Centre d'Etudes Spatiales de la BIOsphère. (France)
Published: September 2023

Efficient water resource management is a topic of major importance in the field of sustainable development. In arid and semi-arid regions characterized by limited and irregular water availability, the agricultural sector is under constant pressure to receive and ensure water for their crops. Finding an optimal way to share this limited resource requires numerous negotiations between water suppliers and farmers. A multi-agent system, as presented in this paper, is a computer simulation that models the interactions between different types of agents in order to gain insight into the group’s behavior as a whole. This paper claims that such a system can be used at the beginning of the agricultural season to predict potential outcomes of the interactions between water suppliers and farmers, which can inform management on how to optimally plan for the allocation of water. One objective was to take an interdisciplinary approach in order to simulate imagined consequences to complex decisions and to suggest new ways of maximizing water resources while improving income when reaching final compromises. To accomplish this objective, the present computer simulation performed a multi-agent approach using the open source Java Agent Development Framework (JADE) platform.
Sosialisasi Alat Peraga Operasi Bilangan di SD Negeri Percobaan Pembina
Authors: Silaban Patri Janson , Sihombing Ranti Alvionita , Silalahi Tri Vena , Harefa Juneri Gloriani , Ginting Esariauati Clara Br , Simamora Ririn
Published: September 2023

Media pembelajaran dapat dikatakan segala sesuatu yang dapat digunakan untuk menyampaikan atau menyalurkan materi dari guru secara terencana sehingga siswa dapat belajar efektif dan efisien. Penggunaan media pembelajaran pada materi operasi bilangan sangat penting karena operasi bilangan biasanya digunakan dalam kehidupan kita salah satunya berhitung. Tujuan sosialisai  ini adalah untuk mengetahui kelayakan dan efektifitas media pembelajaran. Berdasarkan observasi pengunaan media pembelajaran pada proses pembelajaran matematika di tingkat Sekolah Dasar cukup terbatas. Khususnya pada materi operasi bilangan yang dimana masih minimnya fasilitas atau media yang mendukung untuk pembelajaran operasi bilangan. Dampaknya yaitu membuat minat belajar siswa rendah atau siswa kurang tertarik untuk memulai pembelajaran sehingga siswa kurang aktif dalam proses pembelajaran. Fungsi dari media pembelajaran tersebut untuk meningkatkan perhatian siswa, membangun motivasi siswa ,serta dapat membuat siswa kebih paham akan pelajaran yang kita sampaikan. Oleh karena itu, peneliti dan sosialisasi ini melakukan upaya pengembangan media pembelajaran operasi bilangan di tingkat sekolah dasar. Sosialisasi ini bertujuan untuk mengajak guru-guru yang ada disekolah untuk membuat media dalam setiap pembelajaran, membuat guru sadar betapa pentingnya media dalam pembelajaran dan membantu guru untuk mencari dan berkarya dalam hal membuat media atau alat peraga operasi bilangan agar siswa lebih bersemangat dalam memulai pembelajaran.
Pendampingan Peningkatan Kinerja Berbasis Strategi Pemasaran E-Channel yang Berdaya Saing Lokal dan Nasional pada UMKM Hasil Olahan Laut Di Labuan – Banten
Authors: Rianto Muhammad Richo , Fikri Adi Wibowo Noor , Woestho Choiroel
Published: September 2023

Tujuan pengabdian kepada masyarakat ini adalah untuk memberikan edukasi, pelatihan dan pendampingan mengenai pemanfaatan strategi e-channel pemasaran yang berdaya saing internasional pada UMKM hasil olahan laut di Labuan, Pandeglang, Banten. Kegiatan ini berfokus pada pemecahan masalah penjualan yang mengalami penurunan kinerja dari tahun ke tahun. Permasalahan ini muncul karena tidak kurangnya strategi pemanfaatan e-channel pemasaran. Solusi dari permasalahan tersebut adalah identifikasi dan profiling produk serta keberhasilan para pelaku UMKM hasil olahan laut untuk dapat memilliki akun yang berbasis e-channel. Hasil kegiatan ini diharapkan dapat meningkatkan penjualan hasil olahan laut di desa Labuan, pandeglang, Banten
Program Les Private Untuk Meningkatkan Motivasi Belajar Anak Di Desa Ciracas, Kiarapedes, Purwakarta
Authors: Fasya Anja Hawari , Hendriyani Putri , Nurtoriqoh Ayu , Aisyah Imas Nurhidayati , Sulaeman Yusuf , Wibowo Devi Vionita
Published: September 2023

Pendidikan salah satu hal yang sangat penting bagi seluruh warga Indonesia. Setiap warga negara Indonesia memiliki hak untuk mengenyam pendidikan. Sebagaimana diatur dalam undang-undang nomor 20 tahun 2003 yang menyebutkan bahwa Setiap warga negara mempunyai hak yang sama untuk memperoleh pendidikan yang bermutu.kegiatan KKN yang kami laksanakan adalah program les privat untuk meningkatkan motivasi belajar pada anak d Desa Ciracas. Pelaksanaan program KKN les privat di Desa Ciracas berlangsung selama 30 hari dimulai dari 7 Agustus hingga 4 september 2023. Total jumlah anak yang mengikuti program KKN les privat sebanyak 57 peserta. Les Privat ini terdiri dari 4 tempat diantaranya posko RW 1 sampai 4. Kegiatan les privat anak-anak di Desa Ciracas dilakukan mulai jam 16.00 sampai dengan 17.00 WIB. Selama melakukan KKN di Desa Ciracas melalui program les privat mahasiswa dapat menerapkan ilmu dan pembelajaran yang telah dipelajari di bangku kuliah terutama mengenai pendidikan. Kegiatan ini juga dapat melatih mahasiswa untuk menjadi calon guru yang profesional sesuai dengan jurusan yang kini tengah di tempuh
Pelatihan Pembuatan Jamu Herbal Jahe Pada Komunitas Ibu PKH Di Desa Sungai Pinang
Authors: Yuliana Maya , Tauri Selfi Septia , Utami Nafisah , Kartika Clara , Arisandi Diki
Published: September 2023

Jamu Herbal Jahe merupakan minuman tradisional yang dibuat dari bahan dasar jahe dan berbagai bahan alami. Proses pembuatan jamu herbal jahe melibatkan merebus jahe bersama bahan lainnya seperti, gula dan air. Kegiatan pengabdian masyarakat ini diselenggarakan di Desa Sungai Pinang, sebuah desa yang belum memiliki pengetahuan secara luas dalam mengolah sumber daya alam seperti jahe, yang sebenarnya tumbuh disekitar masyarakat namun pemanfaatannya masih kurang optimal terutama untuk inovasi produk herbal seperti jamu. Untuk mengatasi permasalahan tersebut dilakukan suatu inovasi dengan membuat jamu herbal jahe dengan menggunakan bahan jahe yang di lakukan pelatihan juga kepada masyarakat Desa Sungai Pinang. Tujuan pelatihan pembuatan Jamu Herbal Jahe adalah mengajak warga Desa Sungai Pinang terutama para ibu PKH untuk berpartisipasi dalam meningkatkan Jamu Herbal Jahe dapat dilestarikan pada masyarakat. Tim Pengabdian melakukan kegiatan ini selama 6 hari yang mencakup pemberian pengetahuan tentang manfaat jahe, pengolahan jahe menjadi jamu herbal, dan pengemasan jamu agar bisa dinikmati dalam waktu yang lebih lama. Berdasarkan pengamatan sebelum dan sesudah kegiatan pelatihan pembuatan Jamu Herbal Jahe, disimpulkan bahwa masyarakat dapat mengambil manfaat dari kegiatan pengabdian ini dan bisa mengimplementasikan ilmu yang didapat untuk keperluan masing-masing.
Pendampingan dan Pembinaan Pendaftaran NIB dan Sertifikat Halal untuk UMKM di Desa Taringgul Landeuh Kecamatan Kiarapedes Kabupaten Purwakarta
Authors: Hasan Iik Taopik , Naufan M. Wildan , Solihat Nabila Ummu , Darojah Siti , Syakuroh Syakuroh , Rahayu Tanti Ratu
Published: September 2023

Kegiatan Program Pengabdian Masyarakat dari KKN STAI Riyadhul Jannah bersama dengan pelaku UMKM Desa Taringgul Landeuh Kecamatan Kiarapedes Kabupaten Purwakarta. Legalitas usaha mempunyai peranan yang sangat penting dalam suatu usaha yang berjalan (UMKM), legalitas dalam suatu usaha juga mempunyai peranan yang sangat penting karena dijadikan pedoman bahwa usaha sudah layak dan sedang beroperasi. Kurangnya pemahaman masyarakat sekitar tentang pentingnya legalitas menjadi sebuah masalah yang membuat pelaku usaha belum memiliki legalitas usaha, juga susahnya mengurus legalitas usaha yang tak kunjung didapatkan (lama). Pendampingan ini bertujuan untuk memudahkan pemahaman kepada masyarakat bahwa sangat pentingnya legalitas usaha (NIB) dan sertifikat halal guna usahanya berkembang juga naik kelas. Pendampingan pembuatan Nomor Induk Berusaha (NIB) dan sertifikat halal ini secara online melalui Online Single Submission (OSS) dan sihalal. Pelaksanaan kegiatan ini dilakukan oleh mahasiswa KKN STAI Riyadhul Jannah yang terdiri dari 10 orang. Hasil yang terlihat dalam kegiatan ini yaitu adanya peningkatan mengenai pemahaman dari para pelaku usaha di Desa Taringgul Landeuh Kecamatan Kiarapedes Kabupaten Purwakarta. Dalam hal ini pentingnya memiliki legalitas usaha (NIB) dan sertifikat halal, serta dari 15 UMKM yang telah di survey oleh mahasiswa KKN STAI Riyadhul Jannah, sejumlah 6 UMKM diantaranya belum memiliki NIB (Nomor Induk Berusaha) dan sertifikat halal sehingga kami selaku mahasiswa yang sedang mengabdi pada Desa Taringgul Landeuh ini memberi pendampingan dalam hal pengurusan NIB (Nomor Induk Berusaha) dan sertifikat halal bagi usaha yang sedang berjalan.
Urgensi Menghafal Juz 30 Dalam Meningkatkan Daya Ingat Anak Usia Dini Di Dusun 1 Parakan Garokgek
Authors: Maulidin Yudi , Hani Siti Umi , Rukmini Mimin , Rahmawati Nusaibah , Fitriayani Nur , Nurhalimah Tri Dian
Published: September 2023

Perkembangan anak adalah perkembangan yang bertahap yang menuju pematangan jasmani, perkembangan pada anak pada ini merupakan penyempurnaan fungsi organ yang dapat dilihat melalui kelakuan dan tumbuh kembang. dalam hal ini perkembangan usia dini harus senantiasa dimanfaatkan dengan baik, dengan menyisipkan agama didalamnya, tentu saja dalam pengabdian di Masyarakat KKN STAI Riyadhul Jannah Subang ini membuat program kerja sesuai dengan urgensi pendidikan diusia dini dengan sisi keislaman dengan mengenalkan hafalan Al-Qur’an didalamnya. dalam mempelajari Al-Quran bisa membantu memahami kandunganya dapat dilakukan dengan tahapan mendengarkan/menyimak, membaca dan menghafalkannya. Metode yang digunakan dalam program KKN STAI Riyadhul Jannah Subang untuk meningkatkan daya ingat anak yaitu menggunakan metode one day one ayat yang merupakan terobasan baru dalam menghafal Al-Qur’an,
Program Bimbingan Belajar Pasca Pandemi COVID-19 Menggunakan Metode Visual, Humanis Ceria dan Aqidah Akhlaq Guna Meningkatkan Motivasi Belajar Siswa SD di Desa Sawocangkring Kabupaten Sidoarjo
Authors: Wijaya Sonny , Saputra Mochamad Fahmi , Lestari Lilla Puji
Published: September 2023

Pandemi COVID-19 telah menyebabkan gangguan serius dalam pendidikan anak-anak secara nasional, termasuk di Desa Sawocangkring, Sidoarjo. Oleh karena itu, dalam kegiatan pengabdian masyarakat ini, dilakukan implementasi program bimbingan belajar pasca pandemi COVID-19 untuk meningkatkan motivasi belajar anak-anak SD di Desa Sawocangkring tersebut. Kegiatan ini dilaksanakan sebagai bagian program kerja dari Kuliah Kerja Nyata (KKN) Tematik 2023 oleh mahasiswa kelompok 5 KH. Idham Chalid Universitas Ma’arif Hasyim Latif (UMAHA) Sidoarjo. Bimbingan belajar dilakukan pada tanggal 7 hingga 22 Agustus 2023, setiap hari Senin hingga Jumat mulai pukul 19.00 sampai 20.00 WIB dengan jumlah murid sekitar 20 anak SD. Metode yang digunakan dalam bimbingan belajar ini adalah pembelajaran dengan metode visual, humanis ceria, dan aqidah akhlaq. Metode visual digunakan untuk membantu visualisasi konsep pembelajaran, sementara pendekatan humanis ceria dan aqidah akhlaq bertujuan untuk menciptakan lingkungan belajar yang ramah dan mendukung perkembangan moral dan karakter anak-anak SD. Hasil evaluasi menunjukkan adanya peningkatan motivasi belajar anak-anak SD di Desa Sawocangkring setelah mengikuti program bimbingan belajar ini, yaitu terbukti dengan tingkat kehadiran yang selalu penuh dan antusias dalam memperoleh pelajaran dari mahasiswa KKN UMAHA Sidoarjo.