cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Step-by-Step Data Cleaning Recommendations to Improve ML Prediction Accuracy
Creators: name: Mohammed, Sedir
name: Naumann, Felix
name: Harmouch, Hazar
Publisher: name: arXiv
Year: 2025
Subjects: subject: Databases (cs.DB)
subject: FOS: Computer and information sciences

description: Data quality is crucial in machine learning (ML) applications, as errors in the data can significantly impact the prediction accuracy of the underlying ML model. Therefore, data cleaning is an integral component of any ML pipeline. However, in practical scenarios, data cleaning incurs significant costs, as it often involves domain experts for configuring and executing the cleaning process. Thus, efficient resource allocation during data cleaning can enhance ML prediction accuracy while controlling expenses.
 This paper presents COMET, a system designed to optimize data cleaning efforts for ML tasks. COMET gives step-by-step recommendations on which feature to clean next, maximizing the efficiency of data cleaning under resource constraints. We evaluated COMET across various datasets, ML algorithms, and data error types, demonstrating its robustness and adaptability. Our results show that COMET consistently outperforms feature importance-based, random, and another well-known cleaning method, achieving up to 52 and on average 5 percentage points higher ML prediction accuracy than the proposed baselines.
Siamese (Central Thai) also known as “Thai”, “Siamese Tai”, “Syam”, “Tai”, “T'ai”
Creators: name: Pitek, Emily
Publisher: name: Database of Religious History (DRH)
Year: 2018

description: The Siamese/Central Thai live in the central alluvial plain of Thailand, and are primarily of the Buddhist faith. This entry focuses specifically on the community of Bang Chan (ca. 1950), which lies about 31 kilometers northeast of Bangkok. Bang Chan was established in the 19th century, and is currently under the jurisdiction of Thailand's constitutional monarchy (an absolute monarchy until 1932). The central institution of Bang Chan is the Buddhist temple. Like many other Central Thai communities, the majority religion is Buddhism, with a minority group of Muslims.
title: How Can We Reduce Racism? A Mixed Method Study of Factors That Influence Attitudes Towards Social Change
Creators: name: Insouvanh, Kindy
Publisher: name: University of Nevada, Las Vegas
Year: 2021

description: The resurgence of social movements such as Black Lives Matter has provoked public discourse about racial inequality and efforts towards social change. The current study sought to better understand how young adults reason about racism reduction with a focus on racial allyship and collective action. The present study used mixed methods to identify strategies young adults believe different racial groups could do to reduce racism and investigate the influence that individual factors have on reasoning about social change. Here, I present emergent themes to describe racism reduction strategies from a large and racially diverse sample of undergraduate students (N= 428). Quantitative findings from this study replicate results from previous research, which showed a negative association between cross-race friendships and prejudicial attitudes towards racial outgroups. Greater cross-race friendships were also associated with higher levels of perceived discrimination and liberalism (sociopolitical beliefs). This study was also the first to use racial attitudes, sociopolitical beliefs, and cross-race friendships to predict narrated themes about racism reduction. Implications for fostering greater racial allyship and collective action among individuals from varying social groups are discussed.
Elizabeth Patton, University of Maryland Baltimore County – The Home Office and Work-Life Balance
Creators: name: Academic Minute
name: Patton, Elizabeth
Publisher: name: Academic mintue
Year: 2023
Subjects: Elizabeth Patton
UMBC Media and Communication Studies
healthy work-life balance
middle-class professionals

description: On University of Maryland Baltimore County Week: A healthy work-life balance can be difficult no matter where you apply your trade. Today on The Academic Minute: Elizabeth Patton, associate professor of media and communication studies, examines how we portray work/life balance at home. Elizabeth Patton is media historian interested in discourses of gender, race and class in the history of media, representations of urbanism and suburbanism in popular culture, and the impact of communication technologies on space and place. She is the author of Easy Living: The Rise of the Home Office (Rutgers University Press, 2020). She is the recipient of the 2023 National Endowment for the Humanities Fellowship. Recent research can be found in edited volumes such as Media Crossroads: Intersections of Space and Identity in Screen Cultures (Duke University Press, 2021) and Race and the Suburbs in American Film (SUNY Press, 2021). She currently serves as managing co-editor of Mediapolis: A Journal of Cities and Culture.
A Comprehensive Review of Multimodal XR Applications, Risks, and Ethical Challenges in the Metaverse
Creators: name: Kourtesis, Panagiotis
Publisher: name: arXiv
Year: 2024
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences
subject: B.8; C.4; D.0; J.4

description: This scoping review examines the broad applications, risks, and ethical challenges associated with Extended Reality (XR) technologies, including Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), within the context of Metaverse. XR is revolutionizing fields such as immersive learning in education, medical and professional training, neuropsychological assessment, therapeutic interventions, arts, entertainment, retail, e-commerce, remote work, sports, architecture, urban planning, and cultural heritage preservation. The integration of multimodal technologies such as haptics, eye-tracking, face- and body-tracking, and brain-computer interfaces, enhances user engagement and interactivity, playing a key role in shaping the immersive experiences in the Metaverse. However, XR's expansion raises serious concerns, including data privacy risks, cybersecurity vulnerabilities, cybersickness, addiction, dissociation, harassment, bullying, and misinformation. These psychological, social, and security challenges are further complicated by intense advertising, manipulation of public opinion, and social inequality, which could disproportionately affect vulnerable individuals and social groups. This review emphasizes the urgent need for robust ethical frameworks and regulatory guidelines to address these risks while promoting equitable access, privacy, autonomy, and mental well-being. As XR technologies increasingly integrate with artificial intelligence, responsible governance is essential to ensure the safe and beneficial development of the Metaverse and the broader application of XR in enhancing human development.
description: 43 Pages, 1 Figure, 3 Tables
Learning a Sparse Neural Network using IHT
Creators: name: Damadi, Saeed
name: Zolfaghari, Soroush
name: Rezaie, Mahdi
name: Shen, Jinglai
Publisher: name: Maryland Shared Open Access Repository
Year: 2024
Subjects: Computer Science - Machine Learning

description: The core of a good model is in its ability to focus only on important information that reflects the basic patterns and consistencies, thus pulling out a clear, noise-free signal from the dataset. This necessitates using a simplified model defined by fewer parameters. The importance of theoretical foundations becomes clear in this context, as this paper relies on established results from the domain of advanced sparse optimization, particularly those addressing nonlinear differentiable functions. The need for such theoretical foundations is further highlighted by the trend that as computational power for training NNs increases, so does the complexity of the models in terms of a higher number of parameters. In practical scenarios, these large models are often simplified to more manageable versions with fewer parameters.
Disruption of common ocular developmental pathways in patient-derived optic vesicle models of microphthalmia.
Creators: name: Eintracht, Jonathan
name: Owen, Nicholas
name: Harding, Philippa
name: Moosajee, Mariya
Publisher: name: The Francis Crick Institute
Year: 2024
Subjects: classificationCode: Stem Cells
subject: Stem Cells
classificationCode: Gene Expression
subject: Gene Expression
classificationCode: Genetics & Genomics
subject: Genetics & Genomics
classificationCode: Developmental Biology
subject: Developmental Biology
classificationCode: Neurosciences
subject: Neurosciences
subject: FOS: Clinical medicine
classificationCode: Human Biology & Physiology
subject: Human Biology & Physiology
classificationCode: Model organisms
subject: Model organisms

description: Genetic perturbations influencing early eye development can result in microphthalmia, anophthalmia, and coloboma (MAC). Over 100 genes are associated with MAC, but little is known about common disease mechanisms. In this study, we generated induced pluripotent stem cell (iPSC)-derived optic vesicles (OVs) from two unrelated microphthalmia patients and healthy controls. At day 20, 35, and 50, microphthalmia patient OV diameters were significantly smaller, recapitulating the "small eye" phenotype. RNA sequencing (RNA-seq) analysis revealed upregulation of apoptosis-initiating and extracellular matrix (ECM) genes at day 20 and 35. Western blot and immunohistochemistry revealed increased expression of lumican, nidogen, and collagen type IV, suggesting ECM overproduction. Increased apoptosis was observed in microphthalmia OVs with reduced phospho-histone 3 (pH3+) cells confirming decreased cell proliferation at day 35. Pharmacological inhibition of caspase-8 activity with Z-IETD-FMK decreased apoptosis in one patient model, highlighting a potential therapeutic approach. These data reveal shared pathophysiological mechanisms contributing to a microphthalmia phenotype.
Physical conditions around high-mass young star-forming objects via simultaneous observations of excited OH and methanol masers
Creators: name: Kobak, A.
name: Bartkiewicz, A.
name: Rygl, K. L. J.
name: Richards, A. M. S.
name: Szymczak, M.
name: Wolak, P.
Publisher: name: arXiv
Year: 2025
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Astrophysical masers are widely used in star formation studies. In particular, they are valuable in investigations of high-mass star-forming regions that are difficult to observe at optical frequencies. We used multi-transition data to derive physical conditions in the immediate environment of forming high-mass stars. Simultaneous observations of two maser transitions, excited OH at 6.035 GHz and methanol at 6.668 GHz, were made using e-Merlin. Both transitions are radiatively pumped but prefer diverse physical conditions. We imaged ten high-mass star-forming sites with milliarcsecond angular resolution, identifying regions where excited OH and methanol masers coexist and where they avoid each other. Moreover, we identified circularly polarized Zeeman splitting pairs of the OH transition, estimating magnetic field strengths in the range from 0.2 to 10.6~mG. The detection of linearly polarized components enabled us to compare the directions of magnetic field vectors with the outflows coming from the young star-forming objects. We found that the two maser lines appeared to coexist in six high-mass star-forming regions, in cloudlets separated by up to 205~au. Where the lines show avoidance, this can be related to changes in dust and gas temperatures; we also found a few examples suggestive of a high gas density. In seven sources, Kolmogorov-Smirnov tests show the nonrandom relationship between the position angles of distribution of the two maser transitions. We did not obtain consistent results regarding the direction of the magnetic field and outflow.
title: I’m a Black sociologist, and a mom – by listening to other Black mothers, I’ve learned about their pandemic struggles and strengths
title: The Struggles of Black Mothers During the Pandemic
titleType: AlternativeTitle
Creators: name: Henderson, Loren
Publisher: name: The Conversation
Year: 2022

description: As the world locked down and a country’s racial reckoning heated up, this social scientist refined her approach to studying the lives of Black moms.
title: How long-term, non-monogamous romantic relationships maintain sexual satisfaction
Creators: name: Kessler, Anna
Publisher: name: University of Nevada, Las Vegas
Year: 2021

description: Eroticism is an important element of couple's relationships. Sexual intimacy has the power to bring couples closer together, as higher levels of sexual intimacy results in higher relationship satisfaction, or hinder relationships if either or both partners aren’t sexually satisfied in their relationship. The current study’s purpose is to understand how long-term, non-monogamous relationships have successfully maintained “eroticism” throughout the course of their relationship. In this study, 24 couples who are in a committed, romantic relationship of at least 7 years were interviewed. The interviews were conducted individually over a video call platform, and each was completed withing approximately 60 minutes. The couple received an incentive in the form of a gift card for their time. Nine themes emerged from the interviews: novelty, cultivating life-long learning, conjoint learning, love languages, communication, acceptance of partner, partner match, sex positivity and reinforcing/reteaching messages for future generations. We found incorporation of erotica, maintaining a sex-positive outlook and showing love to one’s partner in the ways in which they receive love were vital in the maintenance of sexual satisfaction.
Nursing Home Characteristics and Resident Quality of Care Outcomes: A Scoping Review of Recent Empirical Research
Creators: name: Millar, Roberto J.
name: Diehl, Christin
name: Blake, Elizabeth
name: Fakeye, Oludolapo
name: Kusmaul, Nancy
Publisher: name: LSE Press
Year: 2024

description: Context: Nursing facilities are an essential part of the long-term care continuum, providing a setting where older adults and persons with disabilities receive critical services and supports. Despite extensive research linking facility characteristics to resident outcomes, the facility and resident factors under investigation vary in the context of a diverse industry landscape and poor understanding of key quality of care outcomes.Objectives: This scoping review focused on identifying key concepts, summarising existing findings, and identifying gaps in research linking nursing facility characteristics and resident outcomes.Methods: Guided by PRISMA-ScR guidelines, this scoping review focused on empirical, English-language research published in five databases between 2005 and 2022. The research studies meeting specified inclusion criteria were subjected to thematic analysis for the extraction of key concepts and synthesis of findings.Findings: The 91 research studies in the final analytic sample conceptualised facility-level characteristics and resident outcomes using six and nine broad domains, respectively. The subcategories making up these discrete domains varied widely across studies. While evidence of linkages between facility environments and resident outcomes varied, there was general support that higher staffing capacity and home-like environments with support for autonomy and social integration were linked to better functional outcomes and higher overall subjective well-being of residents.Implications: It is imperative to understand how facility-level characteristics influence resident outcomes, and this scoping review provides insight into these complex relationships. A better understanding of this area is key to improving policies and regulatory oversight, as well as more broadly inform data driven decision-making.
Certified Inductive Synthesis for Online Mixed-Integer Optimization
Creators: name: Zamponi, Marco
name: Incerto, Emilio
name: Masti, Daniele
name: Tribastone, Mirco
Publisher: name: arXiv
Year: 2025
Subjects: subject: Optimization and Control (math.OC)
subject: Systems and Control (eess.SY)
subject: FOS: Mathematics
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: In fields such as autonomous and safety-critical systems, online optimization plays a crucial role in control and decision-making processes, often requiring the integration of continuous and discrete variables. These tasks are frequently modeled as mixed-integer programming (MIP) problems, where feedback data are incorporated as parameters. However, solving MIPs within strict time constraints is challenging due to their $\mathcal{NP}$-complete nature. A promising solution to this challenge involves leveraging the largely invariant structure of these problems to perform most computations offline, thus enabling efficient online solving even on platforms with limited hardware capabilities. In this paper we present a novel implementation of this strategy that uses counterexample-guided inductive synthesis to split the MIP solution process into two stages. In the offline phase, we construct a mapping that provides feasible assignments for binary variables based on parameter values within a specified range. In the online phase, we solve the remaining continuous part of the problem by fixing the binary variables to the values predicted by this mapping. Our numerical evaluation demonstrates the efficiency and solution quality of this approach compared to standard mixed-integer solvers, highlighting its potential for real-time applications in resource-constrained environments.
description: 18 pages, multiple figures. To be published in proceedings of the ACM/IEEE 16th International Conference on Cyber-Physical Systems (ICCPS '25)
Partisan, Humble Thyself: How Political Overconfidence Fuels Affective Polarization
Creators: name: Anson, Ian
Publisher: name: Cambridge University Press
Year: 2024

description: Ongoing research shows that many Americans erroneously believe themselves to know more about politics than their peers. This form of “political overconfidence” has been associated with extreme ideological position-taking and susceptibility to misinformation, among other patterns of behavior. Does knowledge overconfidence among partisans also drive negative affect towards members of the opposing political party? In this short article, I present the results of a pre-registered survey experiment (N = 1,049) designed to assess the causal link between knowledge overconfidence and negative perceptions of political parties and their members. By randomly exposing experimental subjects to messages designed to mitigate knowledge overconfidence, I measure the degree to which such interventions can reduce negativity towards partisans’ political opponents. Results show that invoking humility among partisans can dampen negative assessments of the out-party and raise respondents’ willingness to communicate with partisan alters.
On the Limits of Distributed Quantum Computing
Creators: name: d'Amore, Francesco
Publisher: name: arXiv
Year: 2025
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Quantum Physics (quant-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Quantum advantage is well-established in centralized computing, where quantum algorithms can solve certain problems exponentially faster than classical ones. In the distributed setting, significant progress has been made in bandwidth-limited networks, where quantum distributed networks have shown computational advantages over classical counterparts. However, the potential of quantum computing in networks that are constrained only by large distances is not yet understood. We focus on the LOCAL model of computation (Linial, FOCS 1987), a distributed computational model where computational power and communication bandwidth are unconstrained, and its quantum generalization. In this brief survey, we summarize recent progress on the quantum-LOCAL model outlining its limitations with respect to its classical counterpart: we discuss emerging techniques, and highlight open research questions that could guide future efforts in the field.
description: Online version of the paper appeared in the Distributed Computing Column of Bulletin of EATCS. Some mistakes are here corrected
Gond also known as “Koi”, “Koitur”, “Hill Maria”
Creators: name: Pitek, Emily
Publisher: name: Database of Religious History (DRH)
Year: 2018

description: Bastar District, India, is home to several indigenous groups including the Gond; this entry focuses on the Hill Marias circa 1938. The Hill Marias are very isolated geographically, and are as a result less acculturated. Their religious beliefs are of the Hindu family, "yet at the same time it is but little 'Hinduized'. It remains a special and characteristic faith, a logical entity which can be described and recognized" (Verrier, 1947: 1740). The Hill Maria religious beliefs are interwoven with social, civil, and political aspects of life and should be considered a part of the society as a whole.
Effect of the geometry of butt-joint implant-supported restorations on the fatigue life of prosthetic screws
Creators: name: Armentia, Mikel
name: Abasolo, Mikel
name: Coria, Ibai
name: Saintier, Nicolas
Publisher: name: arXiv
Year: 2024
Subjects: subject: Medical Physics (physics.med-ph)
subject: Systems and Control (eess.SY)
subject: FOS: Physical sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Statement of problem. Dental implant geometry affects the mechanical performance and fatigue behavior of butt-joint implant-supported restorations. However, failure of the implant component has been generally studied by ignoring the prosthetic screw, which is frequently the critical restoration component Purpose. Evaluate the effect of 3 main implant geometric parameters: the implant body diameter, the platform diameter, and the implant-abutment connection type (external versus internal butt-joint) on the fatigue life of the prosthetic screw. The experimental values were further compared with the theoretical ones obtained by using a previously published methodology M&M. 4 different designs of direct-to-implant dental restorations from the manufacturer BTI were tested. Forty-eight fatigue tests were performed in an axial fatigue testing machine according to ISO 14801. Linear regression models, 95% interval confidence bands for the linear regression, and 95% prediction intervals of the fatigue load-life results were obtained and compared through an analysis of covariance to determine the influence of the 3 parameters under study on the fatigue behavior Results. Linear regression models showed a statistical difference when the implant body diameter was increased by 1 mm; an average 3.5-fold increase in fatigue life was observed. Increasing the implant abutment connection diameter by 1.4 mm also showed a significant difference, leading to 7-fold longer fatigue life on average. No significant statistical evidence was found to demonstrate a difference in fatigue life between internal and external connections Conclusions. Increasing the implant platform and body diameter significantly improved the fatigue life of the screw, whereas external and internal connections provided similar results. In addition, experimental results proved the accuracy of the fatigue life prediction methodology
All-Optical Noise Quenching of An Integrated Frequency Comb
Creators: name: Moille, Gregory
name: Shandilya, Pradyoth
name: Stone, Jordan
name: Menyuk, Curtis
name: Srinivasan, Kartik
Publisher: name: Maryland Shared Open Access Repository
Year: 2024
Subjects: Physics - Applied Physics
Physics - Optics

description: Integrated frequency combs promise transformation of lab-based metrology into disruptive real-world applications. These microcombs are, however, sensitive to stochastic thermal fluctuations of the integrated cavity refractive index, with its impact becoming more significant as the cavity size becomes smaller. This tradeoff between microcomb noise performance and footprint stands as a prominent obstacle to realizing applications beyond a controlled lab environment. Here, we demonstrate that small footprint and low noise become compatible through the all-optical Kerr-induced synchronization (KIS) method. Our study unveils that the phase-locking nature of the synchronization between the cavity soliton and the injected reference pump laser enables the microcomb to no longer be limited by internal noise sources. Instead, the microcomb noise is mostly limited by external sources, namely, the frequency noise of the two pumps that doubly pin the microcomb. First, we theoretically and experimentally show that the individual comb tooth linewidths of an octave-spanning microcomb remain within the same order-of-magnitude as the pump lasers, contrary to the single-pumped case that exhibits a more than two order-of-magnitude increase from the pump to the comb edge. Second, we theoretically show that intrinsic noise sources such as thermorefractive noise in KIS are quenched at the cavity decay rate, greatly decreasing its impact. Experimentally, we show that even with free-running lasers, the KIS microcomb can exhibit better repetition rate noise performance than the predicted thermorefractive noise limitation in absence of KIS.
title: How COVID-19 Has Impacted Romantic Relationship Dynamics
Creators: name: Jayci Lake, Alexandria
Publisher: name: University of Nevada, Las Vegas
Year: 2021

description: The purpose of this study was to provide an exploration of impacts to romantic relationship dynamics attributed the COVID-19 pandemic. Though many attributes of COVID-19 classify it as a distinct, unique event in its own right, a literature review of past global health events and economic crises provided a foundational reference point from which to compare it to. Twelve participants who were in relationships with another person for at least four years at the time were interviewed, six of which who were parented individuals and six of which who had no children, to discover how COVID-19-related changes developed over the course of the pandemic and impacted relationship dynamics in unique ways amongst both populations. Four significant themes resulted from participant interviews: initiative for self-focus, negotiation to navigate between worlds, pressurized communication, and flexibility in functioning. These themes played out differently across relationship dynamics and impacted satisfaction, functioning and normal life cycle development depending on a convergence of various factors in the couple/family systems. The ABC-X model and conservation of resource theory (COR) offer two frameworks for conceptualization and guidance in determining appropriate treatment for these populations.
Continuous Sign Language Recognition System using Deep Learning with MediaPipe Holistic
Creators: name: Srivastava, Sharvani
name: Singh, Sudhakar
name: Pooja
name: Prakash, Shiv
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Multimedia (cs.MM)
subject: FOS: Computer and information sciences

description: Sign languages are the language of hearing-impaired people who use visuals like the hand, facial, and body movements for communication. There are different signs and gestures representing alphabets, words, and phrases. Nowadays approximately 300 sign languages are being practiced worldwide such as American Sign Language (ASL), Chinese Sign Language (CSL), Indian Sign Language (ISL), and many more. Sign languages are dependent on the vocal language of a place. Unlike vocal or spoken languages, there are no helping words in sign language like is, am, are, was, were, will, be, etc. As only a limited population is well-versed in sign language, this lack of familiarity of sign language hinders hearing-impaired people from communicating freely and easily with everyone. This issue can be addressed by a sign language recognition (SLR) system which has the capability to translate the sign language into vocal language. In this paper, a continuous SLR system is proposed using a deep learning model employing Long Short-Term Memory (LSTM), trained and tested on an ISL primary dataset. This dataset is created using MediaPipe Holistic pipeline for tracking face, hand, and body movements and collecting landmarks. The system recognizes the signs and gestures in real-time with 88.23% accuracy.
description: 14 pages, 4 figures, Wireless Pers Commun
title: Social Media Activism: Did We Say What We Meant to Say? A Thematic Analysis of SlutWalk Los Angeles Hosted by Amber Rose
Creators: name: Maxey, Yahindra
Publisher: name: University of Nevada, Las Vegas
Year: 2021

description: This study examined the convergence of activism and social media to analyze how messages are conveyed using an online platform. Using the official Instagram page of SlutWalk Los Angeles as the object of study, this paper examined what messages were being communicated online and how it reflected the movement. As social activism continues today, this study is relevant because it will provide insight on using visual imagery as a form of protest. Through thematic analysis, several themes emerged which include, inclusion, sexual liberation, re-appropriation, and rape awareness. These themes are explored and detailed, ultimately confirming the complex, polysemic nature of the movement; nevertheless, the movement reinforced hypersexualized stereotype of women.
Supplementary document for Plasmonic crystals fabricated by nanosphere lithography for advanced biosensing - 5957802.pdf
Creators: name: Li, Lixia
name: Du, Fei
name: Zong, Xueyang
name: Cui, Lin
name: Liu, Yufang
Publisher: name: Optica Publishing Group
Year: 2022
Subjects: Uncategorized

description: The effect of different geometric parameters on the reflection spectrum.
Active learning of social studies teachers in thailand 4.0 era
Creators: name: Phinla, Wipada
name: Phinla, Wipapan
Publisher: name: figshare
Year: 2025
Subjects: classificationCode: 390102
subject: Curriculum and pedagogy theory and development

description: Active learning of social studies teachers in Thailand 4.0 era is a learning process the new information. Learn more alert and lively. The learners have continued to initiate and focus on the content. From the creation of knowledge Interacting together. Act on your own. The teacher is to facilitate learning. Which can be applied in learning management in social studies courses.There are 4 steps as follows :Step 1Confrontation with social studies problems. Step 2 Identifying the causes of social studies problems. Step 3 Finding methods for proving the truth of social studies and steps 4 Summary of social studies findings. From the above steps can be used to improve learning through social studies activities effectively.
A Rare Case of Extratesticular Scrotal Epidermoid Cyst
Creators: name: Mathew, Rishi
Publisher: name: EURORAD
Year: 2016
Subjects: subject: Genital / Reproductive system male
subject: Experimental
subject: MR
subject: Ultrasound
subject: Diagnostic procedure
subject: Surgery
subject: Inflammation

description: Clinical History Image Findings Discussion Find Diagnosis Differential Diagnosis
description: male, 40 years
description: Clinical History: A 40 year old male presented with swelling over the right scrotum since 3 weeks. The swelling was non-tender, and non progressive in nature. He gave no history of trauma or fever. On local examination a 1.5x1cm swelling was present over right scrotum, non... Final Diagnosis: Extratesticular Scrotal Epidermoid Cyst
title: Determination of the Presence of SARS-CoV-2 in Environmental Surface and Air Samples from Public Areas in Las Vegas
Creators: name: Mihajlovski, Kristina
Publisher: name: University of Nevada, Las Vegas
Year: 2021

description: Contaminated surfaces and airborne spread are found to be among the main ways of coronavirus disease 2019 (COVID-19) transmission. Studies conducted in the hospital setting have shown that SARS-CoV-2 is found on frequently touched surfaces, personal protective equipment, and in air samples of patient isolation rooms. However, few environmental sampling studies have been done in public areas. Taking in consideration that COVID-19 cases may be symptomatic, presymptomatic, and asymptomatic, environmental monitoring may be essential for prompt detection of the virus. The objective of this study was to determine whether SARS-CoV-2 can be detected on environmental surfaces and from air samples in public areas in Las Vegas. In total, 300 surface samples were collected from high-touch surfaces from public areas and a public health facility (PHF) in Las Vegas. In addition, 18 air samples were collected from public areas, a PHF, and COVID-19 testing and vaccination sites. Environmental samples were analyzed with reverse-transcriptase polymerase chain reaction (RT-PCR) using SARS-CoV-2 specific primers and probes. Results showed that 58 out of 300 (19.3%) surface environmental samples tested positive for SARS-CoV-2, 45 at the PHF and 13 in public areas. Concentrations ranged from 10^2 to 10^6 viral particles per sample. Materials that tested positive were plastic, stainless steel, rubber, metal, vinyl, ceramic, artificial leather, glass, wood, and paper. No air sample tested positive. Moreover, results showed that the N gene assay had greater sensitivity to detect SARS-CoV-2 compared to the S and ORF gene assays. Besides frequently touched surfaces, SARS-CoV-2 was detected from floors, shoes, mop water, surfaces in contact with the floor, and floor areas around toilets. Restroom surfaces were frequent SARS-CoV-2 contamination locations. These results indicate surfaces and areas where SARS-CoV-2 may be detected, and the extent and distribution of environmental contamination. Future research should focus on determining the infectivity of the virus in the environment and its potential to cause infection.
title: Calculating the Learning Rate of a Neural Network using a Genetic Algorithm
Creators: name: Miller, Eric
Publisher: name: University of Nevada, Las Vegas
Year: 2021

description: In the field of Computer Science, neural networks and genetic algorithms have become very popular tools in solving complex problems. Because of this growing popularity, there has been several attempts to combine the two concepts. Some of these attempts focused on using genetic algorithms to determine the best architecture, starting weights, or feature selection, to name of few of the applications. While a lot of the research that is available focuses on solving more than one element of the neural network design or is looking to use genetic algorithms to replace a part of the traditional neural network, such as back propagation, in this paper we focus on solving one key element of the network. We will show that it is possible to use a genetic algorithm to determine the best learning rate to be used when training a network, as opposed to the simple manual trial-and-error method that is used by most in the field today.
First results from a Gemini-S/IGRINS transit survey: A precise atmospheric composition for the ultra-hot Jupiter WASP-76b
Creators: name: Mansfield, Megan
name: Line, Michael R.
name: Brogi, Matteo
name: Bean, Jacob L.
name: Kempton, Eliza M.-R.
name: Rauscher, Emily
name: Zalesky, Joseph
name: Owen, James
name: Batalha, Natasha
name: Montet, Benjamin
name: Plavchan, Peter
Publisher: name: Zenodo
Year: 2022
Subjects: exoplanets
high-resolution spectroscopy

description: One of the primary goals of exoplanet science has been to precisely measure the abundances of key species in and metallicities of exoplanet atmospheres to gain information on their formation conditions. This information has generally been limited in the past by the low resolution and narrow wavelength coverage of space-based observatories such as the Hubble and Spitzer Space Telescopes. Recently, the method of high-resolution cross-correlation analysis has emerged as an alternative way to precisely measure the abundances of a variety of species in exoplanet atmospheres using ground-based telescopes. Here we present the first results from a large program to measure high-resolution transmission spectra of 11 giant exoplanets using the IGRINS instrument on Gemini-S. We describe the goals of this ongoing program and show results from a high-resolution transit of the ultra-hot Jupiter WASP-76b. We present measurements of the abundances of key molecules, including water, CO, FeH, and OH, in the atmosphere of WASP-76b and use these measurements to precisely constrain its overall metallicity and C/O ratio.
Proof of the Riemann Hypothesis via Distributional and Laplace Methods
Creators: name: Laguardia, Massimino
Publisher: name: Zenodo
Year: 2025
Subjects: Riemann hipotesis
Zeta function
Beurling–Nyman Criterion
Laplace Transform
Distribution Theory
Analytic Number Theory

description: This preprint presents a complete proof of the Riemann Hypothesis based on a distributional framework and a reductio ad absurdum argument. The analysis relies on the Laplace transform of a distribution constructed from the non-trivial zeros of the zeta function. A contradiction with the Beurling–Nyman criterion is obtained under the assumption of a zero off the critical line. The proof is detailed, formally structured, and supported by distribution theory, Nevanlinna value distribution, and analytic estimates.

I published this, hoping that you also can check the proof and if you also verify it by yourself, I wish you can share your feedback writing at my email

maxlag92@gmail.com
title: The Influences of Medicaid on Mental Health Practitioners
Creators: name: Mohan, Matthew
Publisher: name: University of Nevada, Las Vegas
Year: 2021

description: Medicaid is the largest publicly funded health insurance program which influences the mental health practitioners’ treatment of low income individuals (Altman & Frist, 2015; Rowland et al., 2003). To understand how Medicaid influences mental health practitioners, this study utilizes institutional theory by using the five propositions from Lammers and Barbour (2006) to analyze how Medicaid’s communicative practices influence mental health practitioners who treat those who are in poverty. Semi-structured interviews were conducted with 10 mental healthcare practitioners who accepted Medicaid: two psychologists, five social workers, one psychiatrist, and two psychiatric nurse practitioners. The results demonstrate how mental health practitioners respond to Medicaid’s communicative practices by deviating their behavior within Medicaid’s rules. Issues regarding adjusting paperwork, calling and begging with Medicaid offices, constraining behavior during treatment, changing amount of clients, dealing with payment issues, combating transportation issues, and not accepting Medicaid became prevalent when addressing treatment for mental illness. The theoretical implications suggest Medicaid is not achieving its institutional goals, and institutional beliefs are not always sustaining the institution. The practical implication suggests Medicaid mental health practitioners are doing more work compared to non-Medicaid mental health practitioners, which can lead to mental health practitioners not accepting Medicaid.
title: KulturGut : aus der Forschung des Germanischen Nationalmuseums, Nr. 82 (2024): KulturGut: aus der Forschung des Germanischen Nationalmuseums
title: KulturGut: aus der Forschung des Germanischen Nationalmuseums
titleType: AlternativeTitle
Creators: name: KulturGut : Aus Der Forschung Des Germanischen Nationalmuseums
Publisher: name: KulturGut : aus der Forschung des Germanischen Nationalmuseums
Year: 2024

description: Aktuelle Ausstellungen / Inhalt / Impressum...16
Rebekka erblickt Isaak...12-15
Was Rahmenornamente verraten...7-11
Farbenfroh und facettenreich...1-6
Proof of the Riemann Hypothesis via Distributional and Laplace Methods
Creators: name: Laguardia, Massimino
Publisher: name: Zenodo
Year: 2025
Subjects: Riemann hipotesis
Zeta function
Beurling–Nyman Criterion
Laplace Transform
Distribution Theory
Analytic Number Theory

description: This preprint presents a complete proof of the Riemann Hypothesis based on a distributional framework and a reductio ad absurdum argument. The analysis relies on the Laplace transform of a distribution constructed from the non-trivial zeros of the zeta function. A contradiction with the Beurling–Nyman criterion is obtained under the assumption of a zero off the critical line. The proof is detailed, formally structured, and supported by distribution theory, Nevanlinna value distribution, and analytic estimates.
title: Exploring the Latent Space of Image Captioning Networks
Creators: name: Musser, Mikian
Publisher: name: University of Nevada, Las Vegas
Year: 2021

description: State-of-the-art image captioning models can successfully produce a diverse set of accurate captions. Previous research has focused on improving caption diversity while maintaining a high level of fidelity. We shift the focus from accuracy and diversity to controllability. We use a modified version of the traditional encoder-decoder network that allows the model to produce a meaningful and structured latent space. We then explore the latent space using several latent cartographic methods: lerp, slerp, analogy completion, attribute vector rotation, and interpolation graphs. Additionally, we discuss different categories of latent space and provide modifications for each of the cartographic methods. Finally, we show that it is possible to generate a set of diverse and accurate captions with desired real space semantics by sampling from different areas of the latent space.
Proof of the Riemann Hypothesis via Distributional and Laplace Methods
Creators: name: Laguardia, Massimino
Publisher: name: Zenodo
Year: 2025
Subjects: Riemann hipotesis
Zeta function
Beurling–Nyman Criterion
Laplace Transform
Distribution Theory
Analytic Number Theory

description: This preprint presents a complete proof of the Riemann Hypothesis based on a distributional framework and a reductio ad absurdum argument. The analysis relies on the Laplace transform of a distribution constructed from the non-trivial zeros of the zeta function. A contradiction with the Beurling–Nyman criterion is obtained under the assumption of a zero off the critical line. The proof is detailed, formally structured, and supported by distribution theory, Nevanlinna value distribution, and analytic estimates.

I published this, hoping that you also can check the proof and if you also verify it by yourself, I wish you can share your feedback writing at my email maxlag92@gmail.com
Machine learning-driven complex models for wavefront shaping through multimode fibers
Creators: name: Saucourt, Jérémy
name: Gobé, Benjamin
name: Helbert, David
name: Desfarges-Berthelemot, Agnès
name: Kermène, Vincent
Publisher: name: arXiv
Year: 2024
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We investigate a method to retrieve full-complex models (Transmission Matrix and Neural Network) of a highly multimode fiber (140 LP modes/polarization) using a straightforward machine learning approach, without the need of a reference beam. The models are first validated by the high fidelity between the predicted and the experimental images in the near field and far field output planes (Pearson correlation coefficient between 97.5% and 99.1% with our trained Transmission Matrix or Neural Network). Their accuracy was further confirmed by successful 3D beam shaping, a task achievable only with a true full complex model. As a prospect, we also demonstrate the ability of our neural network architecture to model nonlinear Kerr propagation in gradient index multimode fiber and predict the output beam shape.
STATISTICAL INFERENCE IN MACHINE LEARNING: BRIDGING PROBABILITY AND DATA SCIENCE
Creators: name: B K Madhavi
name: V Mohan
name: Nirmal Keshari Swain
name: Bhawani Sankar Panigrahi
name: S Febeena Ezhil Jothi
name: Jhum Swain
Publisher: name: Zenodo
Year: 2024
Subjects: Statistical Inference, Machine Learning, Probability, Data Science.

description: Abstract

Statistical inference is a critical aspect of machine learning that involves drawing conclusions about populations based on sample data. This paper explores the role of statistical inference in machine learning, highlighting its significance in building predictive models, validating hypotheses, and interpreting data. By bridging the gap between probability theory and data science, statistical inference provides a foundation for robust and reliable machine learning algorithms. We discuss key concepts, methodologies, and applications of statistical inference in machine learning, emphasizing its impact on model accuracy, generalization, and interpretability.
title: TinyML for Gait Stride Classification
Creators: name: Rajendra, Priyanka
Publisher: name: University of Nevada, Las Vegas
Year: 2021

description: Human gait classification and analysis become very important when a person has been diagnosed with a neurological disorder or has suffered an injury which has affected their ability to walk correctly. Gait strides are an important parameter to be studied as it helps the doctor to diagnose any underlying gait condition and evaluate what type of treatment suits the best for the patient’s recovery. Studying gait strides also helps athletes to improve their performance.In today’s world, machine learning has emerged as one of the most widely used technology for classification and analysis of gait characteristics. TinyML is a field of study in Machine Learning and Embedded Systems that uses the power of machine learning (ML) and runs these models on small, low-powered devices like microcontrollers. In this study, we delve into the world of TinyML and explore how the gait analysis can be carried out using this technology. The objective of this thesis is accomplished by using multiple sensors to collect gait stride patterns through a series of trials. We will be using STM’s SensorTile for collecting data. Three different types of stride motions are recorded for classification of short, long, and normal strides. We will use various machine learning/deep learning models to train the data and classify the stride lengths. Next, we’ll improve the model performance by using methods such as feature selection and tuning of various model parameters. On obtaining an optimized model, the model is translated to an embedded TinyML model for real-time evaluation. The classification and regression TinyML model are evaluations with ground truth values observed using a depth sense camera with skeleton tracking algorithms.
An Examination of Sport Consumers' Twitter Usage
Creators: name: Blaszka, Matthew
Publisher: name: Georgia State University
Year: 2011

description: In the sport industry, many stakeholders, including sport organizations, players, coaches, sports reporters, and fans, utilize Twitter. Twitter has become a practical marketing tool, in part, although Twitter users have not been studied in terms of sociodemographics, team identification, media consumption, team related Twitter consumption, or game consumption of their favorite team. Exploring the demographics and consumptive behavior of Twitter users can be valuable for sport organizations to create marketing plans and make managerial decisions. The purpose of this study was to determine the makeup of sport consumers on Twitter for market segmentation purposes and examine their sport media consumption levels, sport-related Twitter usage, team identification level, and team consumption. Differences between Generation X and Y consumers were also determined. An online survey was administered to Twitter users (N = 219). Descriptive statistics, chi-square analyses and MANOVAs revealed characteristics about the users.