bluuebunny/crossref_metadata_2025 huggingface dataset:
Nilai Kehidupan Keluarga Sebagai Ide Penciptaan Karya Seni Grafis
Authors: Mustakim Ardian Bintang , Wulandari Wiwik Sri , Junaedi Deni
Published: August 2023

ABSTRAKIde dan gagasan penciptaan karya jurnal ini mengambil dari nilai positif yang terjadi dalam kehidupan keluarga. Nilai yang diajarkan dari sikap dan prilaku orang tua dan dijelaskan oleh orang tua kepada anak agar nantinya dapat menjadi landasan kehidupan bagi anak. Nilai kehidupan yang diajarkan dalam lingkungan keluarga yaitu nilai tanggung jawab, nilai gotong royong, dan nilai toleransi. Nilai kehidupan ini yang menjadikan ide visualisasi penciptaan karya seni grafis dengan teknik silkscreen atau cetak saring yang dicetak pada media kertas. Meminjam bentuk dari suatu figur potret manusia dengan anatomi yang ideal dan penggambaran tanaman dan hewan yang ada dilingkungan sekitar dapat menambah kuat arti dari simbol visual dari sebuah nilai kehidupan yang terjadi dalam lingkungan keluarga. Sehingga dengan menciptakan karya seni grafis diharapkan dapat menjadi media renungan, pengingat serta memberi pencerahan bagi penulis maupun pembaca agar menjadi lebih baik lagi dalam memahami dan menjalani kehidupan dimasyarakat.Kata kunci : lingkungan keluarga, karakter anak, seni grafis ABSTRACTThe ideas and ideas for creating this journal work draw from the positive values that occur in family life. Values are taught from the attitudes and behavior of parents and explained by parents to children so that later they can become the foundation of life for children. The values of life that are taught in the family environment are the values of responsibility, the values of mutual cooperation, and the values of tolerance. This life value is what makes the idea of visualizing the creation of graphic artwork using silkscreen or filter printing techniques printed on paper media. Borrowing the form of a human portrait figure with ideal anatomy and the depiction of plants and animals in the surrounding environment can add a strong meaning to the visual symbol of a life value that occurs in the family environment. So that by creating works of graphic art it is hoped that they can become media for reflection, reminders and provide enlightenment for writers and readers so that they can better understand and live life in society.Keywords : Family environment, children's characters, printmaking.
PENGARUH ELECTRONIC WORD OF MOUTH TERHADAP KEPUTUSAN PEMBELIAN TIKET PESAWAT PENGGUNA MELALUI PLATFORM DIGITAL AIRASIA SUPERAPP
Authors: Budiarto Dinda Adellia , Sasrawan Mananda IGPB. , Sudana I Putu
Published: August 2023

Airasia superapp is an application released by Airasia in the transformation from an airline company to a digital lifestyle company, however, many reviews about their service are found on social media. This study aims to analyze about the forms of electronic word of mouth (E-WOM), the user’s behavior, and the effect of E-WOM on airline ticket purchase decisions of users through airasia superapp. This study was using samples of 70 respondents that ever experienced in buying an airline ticket through airasia superapp which determined by purposive sampling method and data analysis in this study uses descriptive quantitative with a simple linear regression analysis. The results of this study indicated that forms of E-WOM influence as positive reviews discussing the promotions and negative reviews discussing on how the application works. In general, the users had fewer interactions with other users on social media and the process of purchase decisions with planned travel, information evaluations comparison and there is a significant effect of E-WOM on airline ticket purchasing decisions through airasia superapp.
MEMBANGUN PARIWISATA BERKELANJUTAN: EKOWISATA DI DESA TISTA, TABANAN, BALI
Authors: Juniawan I Made
Published: August 2023

Sustainable tourism is widely recognized as a solution that benefits the environment, economy, and social and cultural aspects. Ecotourism stands out as a tangible demonstration of sustainable tourism practices. Therefore, the focus of this research is on the implementation of ecotourism in Tista Village, Tabanan Regency, Bali. The main objective is to explore the effectiveness of implementing eco-tourism in mitigating negative impacts in the field of tourism. Using a qualitative approach that is conducted in a naturalistic setting. Purposive sampling technique is utilized to select informants. Data was collected through observation, document analysis, and structured interviews. The data collected are processed using descriptive qualitative, with data reduction steps to summarize the main elements, data submissions, as well as conclusions. The research findings that the implementation of ecotourism in Tista Village succeeded in providing various positive impacts for the community and the village, encompassing aspects such as the economy, social and cultural development, and the environment. The principles of sustainable tourism are also in line with this. Eco-tourism has increased public awareness of the importance of conserving the local environment and culture. One of the primary findings is the significance of community empowerment in ecotourism management.
PENGEMBANGAN VIRTUAL TOUR DESA WISATA CARANGSARI, BADUNG
Authors: Kusuma Negara I Made , Agus Wikanatha Sagita Putu
Published: August 2023

The tourist village spread across the Badung district shows the impact of fluctuating visits. Travelers not only expect quick information but also expect information packaged in an attractive way. This research focuses on the development of a virtual tour of the potential tourist village of Carangsari in the Badung district into virtual reality media (VR). This study's data was gathered through library surveys, observations, and interviews with government officials, tourists, and local residents. The collected data will be grouped and presented according to the needs of the research, which will then be analyzed and synthesized descriptively. The development of the VR content of the tourist village of Carangsari is done by digging up the natural and cultural potential that exists, such as in tourism in Puri Carangsari, tracking tracks, traditional crafts, and agriculture in local communities.
PENGELOLAAN SAMPAH TERPADU DALAM PARIWISATA BERBASIS MASYARAKAT DI DESA BINDU, BADUNG
Authors: Sari Putu Eka Purnama , Suryawan Ida Bagus
Published: August 2023

Bindu Village is located in Mekar Bhuwana Village, Abiansemal, Badung Regency. The purpose of this research was to investigate the integration of waste management practices and the level of community involvement in waste management within Bindu Village. Qualitative research methodology was employed for this study, utilizing qualitative data that consisted of both primary and secondary sources. The selection of informants followed a purposive sampling technique. Qualitative descriptive analysis was utilized as the technique for analyzing the data in this study. The results of the study found that Bindu Village in managing waste has implemented integrated waste management starting from the source of waste to waste going to TPS 3R with the local community of Bindu Village having good environmental awareness with the potential to manage waste properly and correctly. However, currently the local community only follow the rules that have been made by the village regulations, there is no own initiative in planning, implementing and maintaining them.
PENGARUH BRAND IMAGE DAN KUALITAS PELAYANAN TERHADAP KEPUASAN WISATAWAN NUSANTARA KE BALI ZOO SINGAPADU, GIANYAR
Authors: Wrecika Vishnuputri I Gusti Agung Ayu , Suardana I Wayan , Wijaya NMS.
Published: August 2023

The selection of the location of the tourist attraction that you want to visit is usually influenced by several aspects, including how the image of the tourist attraction itself is and the quality of service that will be provided at the tourist attraction, especially in pandemic conditions. As one of the tourist attractions affected by the pandemic, Bali Zoo maintains its image as a family-friendly tourist attraction and is safe to visit. In addition, Bali Zoo has also added new services that are needed at this time in accordance with standard operating procedures for tourist attractions during the pandemic. This study aims to determine the effect of brand image and service quality on the satisfaction of domestic tourists visiting Bali Zoo. The sample used is domestic tourists who visit Bali Zoo in 2020-2021.sampling technique used purposive sampling on 100 respondents. Sampling technique used was purposive sampling technique and used a Likert scale model questionnaire which was calibrated using the validity test and the reliability test was calculated using the Cronbach alpha using SPSS 22.0. The data analysis technique in this study used multiple linear regression analysis techniques. Based on the calculation of the IBM SPSS Statistics version 22.0 software, the results show that there is a significant influence between brand image and service quality variables on the satisfaction of domestic tourists visiting the Bali Zoo. This is evidenced from the analysis of the determination of the influence of brand image and service quality on the satisfaction of visiting domestic tourists, which is 71%. Furthermore, the influence of brand image and service quality on the satisfaction of visiting domestic tourists gets Fcount 118, 887 > Ftable 3.939, this means that the variable brand image and service quality has a positive effect on the satisfaction of domestic tourists visiting Bali Zoo.
Etiological Examination of Neonatal Calf Diarrhea Cases Detected in Burdur Region
Authors: MAMAK Nuri , KIYICI Reyda , ŞAHİNDURAN Şima , ŞENSOY Süleyman , AKKAN Hasan Altan , KARACA Mehmet , YILDIZ Ramazan , MUSABEŞEOĞLU Yavuz , GÖKÇE Halil İbrahim
Published: August 2023

This work was conducted to determine the prevalence of E. coli, cryptosporidium spp., giardia, rotavirus and coronavirus agents involved in the etiology of diarrhea in cases of neonatal calf diarrhea detected in Burdur Mehmet Akif Ersoy University Animal Hospital Clinics and other farms in the region between 2019-2020 years. The material of the study consisted of 50 neonatal calves with diarrhea. Stool samples were taken from calves with diarrhea and examined with immunochromatographic rapid test kits. One or more enteropathogenic agents were detected in 70% of the calves. In calves with diarrhea, Cryptosporidium spp (42%) and rotavirus (30%) were detected as single and mixed enteropathogen. Mixed enteropathogens (14% Cryptosporidium spp. + Rotavirus, 2% Rotavirus + coronavirus, 2% Cryptosporidium spp. + rotavirus + coronavirus + E. coli K99 + Giardia, 2% Cryptosporidium spp. + coronavirus + E. coli K99 + Giardia) were determined in 20% of calves. As a result, it was concluded that in neonatal calf diarrhea, cryptosporidium and rotavirus factors are common and necessary precautions should be taken in enterprises against these factors.
Total antioxidant, total oxidant and oxidative stress levels in free-living birds
Authors: SÖNMEZ Evrim , GÜRSOY ERGEN Arzu , ÇENESİZ Sena , GÖKÇEOĞLU Ayris , ÖĞÜN Metin , UZLU Erdoğan , ÇENESİZ Metin
Published: August 2023

Antioxidants provide protection against free radicals formed as a result of increased metabolism in living organisms and the damage these radicals cause to the cell. For this reason, determining the antioxidant levels can help eco-physiologists in the field in understanding the physiological state of the animal at that moment and in conservation biology. In this study, TAC, TOC and OSI values of 12 Long-legged Buzzards (Buteo rufinus), 7 Common Buzzards (Buteo buteo) and 6 Golden Eagles (Aquila chrysaetos), 15 Grey Herons (Ardea cinerea), 7 Eurasian Eagle Owls (Bubo bubo) brought to rehabilitation centre with injuries due to various reasons were examined. First of all, physical examinations of the birds brought to the centre were made. They were then kept in species-specific rooms until recovery. After they were rehabilitated, blood was taken from the birds 1-2 days before they were released into the nature. As a result of blood analysis, TOC and OSI values were found to be high in Eurasian Eagle Owl, Golden Eagle, Long-legged Buzzard and Common Buzzards which were brought with a diagnosis of gunshot wounds, soft tissue trauma, femur or wing fractures. Although these birds were rehabilitated, the reason why TOC and OSI values were high in the individuals brought with these diagnoses may be the trauma experienced by these free-living birds and their subsequent detention in captivity. After the birds were treated and rehabilitated, they were released back to nature in habitats specific to each species.
Investigation of ectoparasites in budgerigar and canaries in Burdur city of Turkey
Authors: YILDIZ Öner , KÖSE Onur
Published: August 2023

Ectoparasite infestations are of the most important and neglected diseases of birds. Ectoparasites cause sirious harmful effects such as; irritation, feathers and skin damage, restlessness, anemia, weight loss, transmission of other pathogens, reducing overall fitness and decreasing long term survival depending on the intensity of the infestation. The main objective of this study was to investigate the ectoparasites of budgerigars and canaries in Burdur city of Turkey. The material of the study was consisted of randomly selected 555 budgies in 192 cages and 121 canaries in 49 cages belongs to 12 different breeders in center district of Burdur city, Turkey. The feathers of head, neck, abdomen, legs, tail, beak, under the wings, around the cloaca and feet of all birds, in addition cages and cage equipments have been examined in terms of ectoparasites. As a result; no ectoparasite species were found on/between feathers and other body parts of overall 676 cage birds, however, a large number of Dermanyssus gallinae were found in cages and cage equipments. Dermanyssus gallinae have been detected in rates of 28.65% and 28.57% in budgerigar and canary cages, respectively. The present study is the first investigation study of ectoparasites of budgerigar and canaries in Turkey and rarely in the world. In addition, within this study D. gallinae infestation is being reported for the first time from budgerigar and canaries from Turkey.
Climate-Resilient Agriculture and Migration Dynamics in Maharashtra: A Comparative Analysis
Authors: Lord Hannah
Published: August 2023

Under the context of global climate change patterns and trends, rural India faces heightened vulnerability to changing weather conditions, leading to various shocks and stresses that can forcibly displace a growing number of its residents. This displacement exacerbates issues of poverty, food insecurity, and marginalization in these populations. A recent strategy to address this challenge is climate resilient agriculture (CRA), an approach aimed at improving community and individual resilience within the context of climate change by sustainably utilizing natural resources through crop and livestock production systems.

This research project, titled the "Climate-Resilient Agriculture and Migration Dynamics in Maharashtra: A Comparative Analysis," seeks to analyze the impacts of CRA programs on migration dynamics in rural India. The primary goal is to assess the diverse designs of CRA initiatives, their implementation and governance mechanisms, and their relative effectiveness in building resilient rural development and mitigating forced displacement due to climate change.

The study will entail an extensive literature review of case studies examining the effects of climate-resilient agriculture in rural India. Additionally, field studies conducted by the project supervisor, Dr. Marcus Taylor, the Department Head and Professor of Global Development at Queen’s University with expertise in agriculture, livelihoods, and anti-poverty policies in rural India and other regions, will complement the research.

By identifying more sustainable adaptation approaches to address the challenges of forced migration for vulnerable populations, this research aims to contribute to improved policy responses, particularly in the Global South. The study's timeliness is emphasized by recent agro-ecological impacts in India due to extreme climate variability. Understanding the relationship between climate-induced migration and climate-resilient agriculture could have significant implications for international organizations such as the United Nations and the World Health Organization in shaping effective climate change mitigation and adaptation strategies. Ultimately, this research strives to advance knowledge in the realm of climate resilience and its impact on migration dynamics, paving the way for enhanced socio-economic outcomes and improved climate change response mechanisms.
Bioprocess Modelling, Intensification, and Control
Authors: McQueen Gabriel , Hudon Nicolas
Published: August 2023

Chemical bio-process intensification, driven by the need for sustainability and cost-effectiveness, has gained significant attention. This study explores dynamic intensification (DI), a strategy to enhance efficiency by modifying system dynamics, operation, and control. Two key approaches are investigated: intensification by design, involving deliberate changes to physical and chemical aspects, and intensification by control, optimizing process parameters and feedback loops.

The research focuses on the Optimal Periodic Control (OPC) method, dating back to the 1960s but now revisited with modern technology. To investigate the feasibility and effectiveness of dynamic intensification, a comprehensive methodology encompassing modeling, optimization, linearization, dynamic intensification, and control was designed. This methodology ensures systematic and standardized testing of DI in various bioprocesses within the industry.

Through rigorous case studies, such as Activated Sludge Model No. 1 (ASM1) and an antibiotic perfusion bioreactor, the study demonstrates the practical benefits of dynamic intensification, including enhanced process efficiency and control. Applying model predictive control (MPC) further improves process efficiency, and the intensified systems are thoroughly compared to their respective base cases.

The insights gained from this research contribute to advancements in bioprocessing technologies across industries, paving the way for sustainable and efficient engineering practices. Engineers can leverage this knowledge and the developed methodology to optimize chemical bioprocesses through innovative intensification strategies, ultimately promoting more eco-friendly and economical bio-processes. The study's comprehensive methodology offers valuable insights and understanding for bioprocess engineers seeking to enhance system efficiency and contribute to a greener future.
Leveraging Dual-Generative Adversarial Networks for Adversarial Malware Detection via Ensemble Learning
Authors: Gordon Lucas
Published: August 2023

In the expanding realm of cybersecurity, machine learning-based malware detection has emerged as a vital line of defense. However, the growing sophistication of malware attacks poses formidable challenges to conventional detection systems. To address this, this paper uses a Generative Adversarial Network that utilizes dual generators for adversarial learning on malware, designed to enhance the detection of harmful Portable Executable (PE) files. Our model employs a two-tiered generator system within the GAN architecture, where the secondary generator intervenes when the primary generator yields a malware PE executable dismissed by the detector.

The detection unit leverages ensemble learning techniques to analyze the PE software feature vector, capitalizing on the synergy of multiple learning models for improved performance and generalization. This setup empowers the system to generate a broader range of adversarial examples and respond to them effectively, enhancing the robustness of the detector against previously unseen or variable malware types.
Pairing Optical and Atomic Hydrogen Detections to Assess Newly-Discovered Galaxy Candidates
Authors: Sheahan Eilis , Spekkens Kristine
Published: August 2023

As optical telescopes become more advanced, their detections begin to unveil very faint, previously unobserved extragalactic objects in the night sky – some of which could be among the smallest and most diffuse galaxies ever discovered. Many of the objects detected appear to be comprised of young, blue stars which seem to exist in isolation from any parent galaxies. In this research, we attempt to connect the very faint optical detections with atomic hydrogen, HI, detections from archival surveys, in order to assess the likelihood that they are newly-discovered galaxies and whether they are actively forming stars. Using the Systematically Measuring Ultra-diffuse Galaxies (SMUDGes) catalog to generate a list of potential candidates, the HI profile corresponding to each candidate’s coordinates was generated and smoothed, ensuring the detection of subtle emissions. Out of the 48 candidates analyzed, 2 very promising candidates emerged and properties like the object’s recessional velocity and HI mass were determined. While the lack of emissions detected may point to radio surveys not being deep enough to detect subtle HI emissions, observing these successful candidates may allow for the formation, origins and evolution of these objects to be studied, thus expanding our knowledge of the universe and galaxy formations.
3D Finite-Element Numerical Failure Prediction of the E.T. Sea Stack Formation at Hopewell Rocks Provincial Park
Authors: Teodoro-Neville Cassidy L. , Day Jennifer J.
Published: August 2023

Sea stacks, natural pillars of rock, are borne from shoreline rock cliffs and eventually collapse by wave action and other erosional processes. While historical instances of sea stack failure have occurred within Hopewell Rocks Provincial Park in New Brunswick, comprehensive assessments of sea stack stability and predictions of future failure are in their early stages. This study aims to forecast the future failure of the E.T. sea stack formation. Photographs taken from an unmanned aerial vehicle of the stack are used to construct a digital 3D geometry model of the formation using Structure-from-Motion photogrammetry. To determine the anticipated failure threshold, 3D finite-element (FEM) numerical models of the stack were developed in RocScience RS3 software. Erosion from wave action during high tides is simulated by progressively reducing the width of the stack within the erosion zone. The erosion rate is estimated, by comparing superimposed historical and current images of the stack, to be 19.19 mm/year perpendicular and 2.26 mm/year parallel to the shoreline. Two erosion types are modelled: symmetrical isotropic and asymmetrical anisotropic. Symmetrical isotropic models imply uniform erosion, while asymmetrical anisotropic models feature two orthogonal erosion rates with directional width reductions from the end of each erosion axis. Stability of the formation in the FEM model is evaluated using maximum shear strain, total displacement, yielded elements, and major principal stress values. The symmetrical isotropic models suggest a probable failure period between 101 and 127 years after 2021. The asymmetrical anisotropic models, however, indicate that failure could occur approximately 40 years earlier. Overall, failure of the stack experiencing asymmetrical anisotropic erosion seems to occur when the supporting pillar is about to erode under the stack’s centroid. With further validation, through additional modelling, the centroid of sea stacks has the potential to be used as a guideline for predicting sea stack failure.
Defining Clusters by Topology Warping Features, an Interpretable Data Clustering Method
Authors: Vandergrift Matthew , Hu Ting
Published: August 2023

Clustering is the task of dividing a data-set into different groups, called clusters, based on similarity. Despite being extensively studied, many state-of-the-art clustering algorithms lack interpretability. While it is useful to partition objects into clusters, it can be equally useful to understand why each cluster has been created. This motivates the desire for a clustering algorithm which can explain its partition. Our proposed method is a clustering process which seeks to explain which variables of a data-set are responsible for each cluster. We analyze the shape of the data, through the mathematical concept of a topological space. A space which is optimal for clustering is one which contains several disconnected islands, quantified as the number of connected components. Subsets of variables can then be selected and the resulting connected components of the topological space calculated. If this space is promising then the resulting disconnected region is the set of data-points which make up a cluster, and the subset of variables are what define it. We chose the variables to consider by grouping them via their correlation or through complex methods, e.g evolutionary algorithms. Our method provides a simple explanation since we can confidently assert that particular variables are why a data point is in a certain cluster. Alongside test data for comparison with existing algorithms, our methodology was applied to a community-based adolescents lipidomics dataset. Results on this dataset revealed 3 distinct clusters which can be explained by the distinct set of lipids that define them. Further optimization showed the existence of a cluster defined by a single lipid.
Personal Construct Theory and Parents’ Perceptions of Developing Girls Through Sport
Authors: Posel Amy , Pinkerton Elena , Murata Alex , Côté Jean
Published: August 2023

Despite increased participation across all sporting contexts, many sports are still thought to be more or less appropriate for female athletes to engage with based on biologically or socially constructed characteristics (Plaza et al., 2017; Abadi & Gill, 2020).  Further, the persistence of gender stereotypes continues to impact the participation levels of girls in sport; particularly in traditionally masculine sports (Tucker Center, 2018; Staurowsky, 2016).  Given the influence parents can have in dictating their children’s participation in sport (Dorsch et al., 2020), the objective of the present study was to explore how parents perceive their daughters’ participation in traditionally boy-dominated sport. Semi-structured interviews were conducted with eight parents of daughters currently engaged in traditionally boy-dominated sports at a competitive level.  A laddering interview technique—based on the personal construct theory—was used as a basis for the interview guide (Bourne & Jenkins, 2005). This technique allowed the interviewer to elicit participants’ higher-level constructs, revealing their overarching values more effectively. Three themes were constructed through the assessment of the interviews, these being that parents believe participation in non-traditional girls’ sport provides young female athletes with (a) the capability to identify gender inequality more easily, (b) opportunities to face unique challenges and shed the perceived limitations imposed upon girls, and (c) opportunities to express less stereotypically feminine traits and, therefore, to grow. These results suggest that parents of daughters who participate in traditionally boy-dominated sports perceive these sports to contribute to building several positive aspects of their daughters’ development.
Competitive, Inhibitory and Mutually Existing Interaction Mapping of Secondary Metabolites in Filamentous Fungi
Authors: Ennett Lainey , Deng Jessie , Kolwich Jennifer , Oleschuk Richard , Ross Avena
Published: August 2023

Natural products are compounds that are produced by living organisms, such as bacteria and fungi. These compounds are essential for advancements in the medical field, such as the discovery of new antibiotics. When living organisms like bacteria and fungi interact with one another, they can be forced to compete for resources to survive (antagonistic) or cooperate (synergistic). It is through these relationships that new metabolites can be produced and subsequently observed. The current research on co-culturing between bacterial and fungal species is limited, thus there are many possible undiscovered metabolites. Therefore, co-culturing of this nature can be analyzed using mass spectrometry for new natural product discovery. While typical methods for microorganism culturing can be applied to co-culturing, alternatively forcing species to interact in an artificially constructed growth chamber can offer interesting insights and changes to the metabolite profile. Herein, a 3D-printed artificial chamber was created to observe the growth and interaction of each species in diverse locations, thus allowing a spatiotemporal map of natural product growth to be generated through spectral analysis. In this work, spectral analysis is conducted using the Liquid Micro-Junction Surface Sampling Probe (LMJ-SSP), which allows for non-destructive sampling of the microorganism interactions. As a result, sampling can be conducted repeatedly at different times in growth development, as well as at diverse locations throughout the chamber. Ultimately, the further exploitation of both the competitive and synergistic relationship of microorganism growth within this chamber will offer novel insights into natural product discovery.
Characterization of the Bakelite Prototype Sensor for NEWS-G
Authors: Moring Mackenzie
Published: August 2023

The New Experiments With Spheres - Gas (NEWS-G) group at Queen's University uses Spherical Proportional Counters (SPCs) in the search for dark matter. Incoming radiation interacts with the gas inside the SPC through ionization, producing electron/ion pairs [1]. These primary electrons drift towards the central anode under the influence of an electric field [1]. A secondary ionization, termed avalanche, occurs at distances proportional to the size of the anode resulting in the multiplication of charges [1]. The signal that is produced is proportional to the number of secondary charges created during the avalanche [1]. A 30 cm-diameter sphere was used to characterize a six anode, spherical Bakelite prototype sensor. The sensor is divided into north and south three-anode read-out channels. To study the detector's response, an Fe55 source was placed inside the sphere, which was then filled with 1 bar of 40Ar+CH4 2% gas. The source was moved around the sphere with thirty-second data-taking runs taken at each point and high voltages applied to each channel. Cuts were applied to the event properties to isolate the 5.9 keV Fe55 peak. The peak was plotted as a histogram and fit with a Gaussian function with two additional linear terms. The gain and resolution of the sensor were extracted from the fit parameters. The channel dominance change angle was calculated by interpolating the number of events recorded by each channel at each point on the sphere. The gain, number of events and the channel dominance change angle were mapped on the sphere between 20 and 40 cm arc length in the theta direction, and all the way around the sphere in the phi direction to improve the understanding of the Bakelite sensor.
References
[1] G. Savvidis, "Sensor Characterization and Fiducial Volume Studies for the NEWS-G Dark Matter Experiment," Queen's University, Kingston, 2023.
Through the Lens of Experience
Authors: Enze Pei  , Craig Wendy , Hall Andrew
Published: August 2023

Identity-based bullying encompasses physical and verbal aggression rooted in unique traits such as race and gender, particularly within school contexts. Extensive literature underscores its detrimental impact on the well-being of victimized youth. Teachers' pivotal role in intervening is acknowledged, though a gap exists between incident rates and interventions, partly attributed to educators' misperception of bullying occurrences. Through the lens of social identity theory, which examines how individuals identify themselves, this study investigated whether teachers' past experiences in bullying-related roles shape their perceptions and interventions, influenced by contextually salient social identities triggered by situational cues. Additionally, the study explored how empathy and victim blaming may enhance or weaken this relationship, respectively. Data were collected through a self-administered online survey, where teachers provided demographic information and were randomly assigned one of five identity-based peer exclusion scenarios. After a manipulation check, 941 participants ranked and answered questions assessing perceptions and responses to the scenario, including variables like seriousness, responsibility, empathy, victim blaming, and intervention likelihood. Participants' bullying-related roles were self-reported based on a section where they described their role as a witness, defender, bully, or victim during their school years. Contrary to our hypothesis, there are unexpected findings on teachers' response with prior experience as victims. Furthermore, bullying-related roles were not moderated by empathy and victim-blaming, with one exception. Overall, the findings from this study allows us to comprehensively understand these dynamics, which in turn inform strategies that optimize teacher interventions and foster a supportive environment for students' growth and well-being.
Origami, Shape Memory Alloys, and Geckos? Designing and Manufacturing an Underactuated Self-Reconfigurable Cube Robot
Authors: Hyndman Carter , Robertson Matthew
Published: August 2023

Modular self-reconfigurable robotic systems are an active field of research leading to versatile, robust, and compact robotic systems. One approach utilizes self-relocatable cuboid robots as building blocks to construct lattice-type modular robotic systems which can be used to construct structures in humanly inaccessible locations through remote or autonomous control. Previous work on self-assembling cube robots has been actuated through both fluidic and inertial methods to provide robot locomotion. The presented robotic cube functions through the harmony of an underactuated Origami Linear Soft Pneumatic Actuator (OL’ SPA) and the modulation of four Shape Memory Alloy (SMA) hinge pin actuators for each face of the cube. By disengaging three of the SMA hinge pin actuators on one of the cube’s faces, the underactuated OL’ SPA expands circumferentially about the remaining engaged SMA hinge pin actuator, opening the cube’s face. Applied to the outside of the outer cube face is a bioinspired gecko tape adhesive, allowing the cube robot the ability to self-reconfigure and climb. Through this innovative integration of novel actuation mechanisms and bioinspired adhesion, the presented robotic cube navigates uncharted terrain in the realm of modular self-reconfiguring robotics.
Terrain Classification for a Quadrupedal Robot Using Proprioceptive Sensing
Authors: Villemure Sophie
Published: August 2023

Quadrupedal robots can traverse a wider range of terrain types than their wheeled counterparts, but these robots do not perform the same on all terrain types. These robots are prone to undesirable behaviours like sinking and slipping on challenging terrain. To combat this issue, we can implement a terrain classifier and use the output to compute the best path for the robot to navigate. The work presented here is a terrain classifier developed for a Boston Dynamics Spot robot. The quadruped provides us with over 104 measured signals describing the position and speed of the robot and each of its four legs. The developed terrain classifier combines dimensionality reduction techniques to extract the relevant information from the signals and then applies a classification technique to differentiate terrain based on traversability. The resulting terrain classifier can identify three different terrain types with an accuracy of 93%. Ongoing work aims to get the classifier running in real time and generate cost maps to inform future path planning.
Investigating Gene Expression of Bone-Marrow Derived Macrophages with GM-CSF Stimulation in vitro
Authors: Philippi Alecco , Basta Sam
Published: August 2023

Macrophages are specialized immune cells that play a crucial role in engulfing and destroying harmful pathogens and debris within the body. When stimulated with specific cytokines, macrophages transition into subtypes with specialized functions. For example, macrophages can differentiate into classically activated macrophages (M1) when stimulated with interferon-γ (IFN-γ ) and lipopolysaccharide (LPS). M1 macrophages are a subtype of activated macrophages that exhibit pro-inflammatory properties and are essential for combating infections and promoting tissue inflammation and repair. When macrophages are stimulated with another cytokine, known as Granulocyte-Macrophage Colony-Stimulating Factor (GM-CSF), they tend to develop an M1-like phenotype. The altered gene expression that occurs when macrophages are cultured in GM-CSF remains a relatively unexplored area, with few studies having profiled this modified genotype of bone marrow-derived macrophages (BMDMs). This study aims to characterize the genotype of GM-CSF macrophages using an in vitro model as well as a genetic database. Expression data from M-CSF or GM-CSF BMDM was retrieved using microarrays, and differential gene analysis was performed using R studio. The analysis suggested an increase in pro-inflammatory gene expression in GM-CSF BMDMs compared to M-CSF-induced macrophages. The findings are reinforced by RT-PCR and qPCR analyses of specific key pro-inflammatory genes. For instance, interleukin-6 (IL-6), IL-1, as well as NLR family pyrin containing domain 3 (NLRP3) were all significantly upregulated in GM-CSF BMDMs. This project seeks to comprehensively characterize GM-CSF-induced macrophages as pro-inflammatory agents. Moreover, the cytokine's propensity to induce a pro-inflammatory response raises concerns about its applicability in treatment plans.
Supportive Interpersonal Interactions and Affective Experiences during Exam Periods
Authors: Santalla Escobar Andrea
Published: August 2023

Examinations, a salient stressor for undergraduates, arouse negative emotions that can hinder performance. Supportive social relationships may be advantageous during exam periods given that social baseline theory proposes that strong social relationships help one manage stressors effectively and efficiently. This experience sampling study examined the roles of two facets of supportive relationships, emotional closeness and interpersonal emotion regulation (ER), in daily affect around exam days and in perceived exam performance. A sample of 191 Canadian undergraduates completed baseline measures and daily prompts for one month. Baseline measures gauged emotional closeness and interpersonal ER; daily prompts assessed perceived emotional closeness, negative affect (NA), positive affect (PA), and perceptions of performance. Students demonstrated a pattern of worse affect when exams approached and an improvement of affect in the days that followed exams. Specifically, they reported higher daily NA on the two days before exam days compared to days with no recent or upcoming exams. Further, students reported lower daily NA post-exams compared to before exams. Additionally, we found lower self-reported daily PA on the two days before exams compared to days with no recent or upcoming exams, and higher daily PA post-exams compared to before exams. Notably, trait use of some interpersonal ER strategies interacted with exam period: students who reported higher use of these strategies demonstrated smaller differences in PA across the days before and after exams (e.g., smaller dip in PA before exams) compared to students who reported lower use of these strategies. We found some evidence of interpersonal ER serving a more limited role in NA during exam periods. Furthermore, most interpersonal ER strategies at baseline and emotional closeness before an exam predicted perceiving exam performance less negatively. The present findings suggest that prosocial interpersonal processes may help students better manage their subjective experiences during stressful midterm exam periods.
Examining the association between exposure to major stressful life events and non-suicidal self-injury
Authors: Misceo Cristina , Stewart Jeremy
Published: August 2023

Experiencing major stressful life events (SLEs) may contribute to risk for non-suicidal self-injury (NSSI). Prior research has established that a higher number of SLEs is linked with more frequent NSSI episodes among young adults. However, life stress is typically assessed with checklist approaches; these methods introduce frequent idiosyncratic misinterpretations of stress categories (e.g., major illness). Coupled with the unclear boundary of what constitutes SLEs, relying on participants’ subjective appraisals of stress severity attenuates validity. Specifically, individuals with a history of NSSI may have certain cognitive characteristics that contribute to an over-appraisal of event severity. Interview-based, contextual life stress systems overcome these limitations by having third-party raters blind to participant characteristics determine stress severity based on a standardized set of circumstances. Accordingly, this study used the Life Events and Difficulties Schedule 2 (LEDS-II), which is a gold-standard, semi-structured life stress interview and rating system. Specifically, we focused on the cumulative severity of episodic stressors (i.e., SLEs whose major features occur within a 2-week period). In preliminary analyses of 53 participants (Mage= 20.17, SDage= 2.51), cumulative stress severity (M =2.96, SD =3.20) was not significantly associated with the number of NSSI episodes participants reported in the past year (M = 22.75, SD = 67.46), r(53) = .13 p = .370. Data collection is ongoing, and we anticipate adding 30 participants (total n=83) to the analyses. Current findings do not align with previous literature on the association between SLEs and NSSI. However, they provide a methodological foundation for how to improve future research on SLEs and NSSI in young adults through the application of gold-standard life stress measures.
Natural Language Processing of Radiology Reports: Predicting Metastatic Progression from Text Data
Authors: Assad Lola
Published: August 2023

The project’s goal is to extract tumour measurement data from oncological radiology reports with equal, or improved accuracy of a human radiologist. The purpose is to streamline and improve the efficiency of cancer diagnosis, accomplishing this through methods in artificial intelligence. 
 
In this experiment, a collection of 85,218 colorectal, and lung radiology reports were used. After loading reports into a data frame, and a BioBERT (bidirectional encoder representations from transformers pre-trained on biomedical corpora) model into a virtual environment, a question is set to be answered by the model where the context of the question is each radiology report’s findings section of the specified organ. These inputs are tokenized and embedded into numerical values to map sentences to vectors of real numbers. Vectors are fed into the model, and an answer is output in natural language for human readability. Answers are stored in the data frame in their corresponding row from which they were derived. 
 
The model successfully answered questions about measurements of tumours written in free text in reports where tumours were present, and successfully ignored or did not report in cases where tumours were not present, or measurements were unchanged. In cases with multiple tumours, the model reported exclusively first listed measurements. In an updated version of this model, context will be run through sentence-wise to ensure equal attention to the context entirely.  
 
This project is evidence that using one question and selecting the findings portion of a radiology report for one organ as context in a question-answering model built using BioBERT is effective, and efficient in collecting measurements from radiology reports. This algorithm can be applied to other areas of medicine, or other fields entirely with a few model alterations. This project is a step forward in improving cancer diagnosis efficiency and improving medical AI.
Emotional gradients in autobiographical memories across the lifespan
Authors: Li Freda , Poppenk Jordan
Published: August 2023

Autobiographical memory is the mental re-experiencing of complex events from one’s life (Grilli and Sheldon, 2019). Memories are not perfect reproductions – rather, they are reconstructed to serve one’s goals, identity, and social communication. Emotions are known to modulate memory. In this study, we investigated changes in the emotional phenomenology of autobiographical memories across different life periods.
65 participants (ages 22-35) completed the Autobiographical Interview (Levine et al., 2002), in which they verbally recalled memories from childhood, adolescence, adulthood, and the past year; they also recalled a negative memory (from any period) and imagined a future memory. Recall occurred in random order across two sessions to control for state effects. Memory emotionality was scored in multiple ways. Participants self-reported the vividness and emotion (valence, arousal, and dominance) within their memory. Raters evaluated the emotion of each memory on a 1-9 Likert scale (intraclass correlation coefficient = 0.90). Finally, transcripts were analyzed with LIWC-22 to determine the average emotion of words within each memory.
 Across scoring methods, we found participants consistently reported greater vividness in their memory from adulthood compared to childhood. We observed gradients in emotion across the lifetime: childhood memories were more negative and less dominant, while adulthood memories were more positive and more dominant. Childhood memories contained more words associated with negative emotions, especially anger. Imagined future memories were more positive compared to childhood memories. Our results extend previous findings of a negative-to-positive temporal gradient in self-selected memories (Williamson et al., 2019) by showing this gradient to apply not only when emotional memories are prompted, but also when memories are freely retrieved without special instruction. We also show the pattern to extend to future, imagined memories. We speculate that this gradient may explain why self-appraisal is typically more positive and negative for future and past selves, respectively.