cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
The Bias Detection and Fairness Audits in AI Recruitment Tools
Creators: name: Researchscholar
Publisher: name: Zenodo
Year: 2025

description: Artificial Intelligence (AI) is transforming human resources management, particularly in the area of recruitment. Automated hiring tools are now commonly used to screen resumes, assess candidates, and support decision-making in the early stages of talent acquisition. However, growing evidence suggests that these systems can reproduce and amplify existing social biases, leading to unfair hiring outcomes. The emergence of algorithmic discrimination has raised serious concerns about transparency, accountability, and equity in AI-assisted recruitment. This paper explores the technological foundations of AI hiring tools, including natural language processing, machine learning, and predictive analytics. It examines key mechanisms through which bias can be introduced into hiring algorithms and discusses methodologies for detecting and mitigating these biases. The paper presents real-world examples of fairness audits in recruitment systems and evaluates their effectiveness. Ethical, legal, and regulatory implications of biased AI in hiring are analyzed, particularly concerning discrimination laws, data protection, and explainability. The paper concludes by outlining the challenges and future directions for achieving fairness in AI- based hiring, emphasizing the need for transparent algorithms, inclusive datasets, and interdisciplinary collaboration. Fairness audits are not only a technological requirement but also a moral and legal imperative in building equitable AI systems in the workplace.
Disease Reporting & Forecasting System:  Current Status & Future Prospects
Creators: name: Ravi Dabas, Mayur M Jadav, Siraj Ansari, Mahesh Kumar, Basharat Rizwan Naik, Asha Yadav
Publisher: name: Bio vet innovator magazine
Year: 2024

description: Abstract:Animal disease reporting is collection, analyzing & sharing data of diseased animal and help in disease monitoring & controlling. In India, the animal disease surveillance is done through National Animal Disease Reporting System. Zoonotic disease is controlled by inter sectoral coordination of IDSP & NADRS. Disease forecasting is predicting the disease outbreak. Techniques involve in forecasting are statistical modelling, geographical information system, machine learning, remote sensing and artificial intelligence. NADRES is national level web based dynamic forecasting system which is predict 13 economically important disease 2 month in advance. Different software used for forecasting is of high values. Disease forecasting is a future for development of early warning system, impact on animal welfare and policy making in country’s economy strengthening.Key Words: Disease reporting, Monitoring, NADRES
Bayesian approach to estimate corrosion growth from a limited set of matched features
Creators: name: Dann, Markus R.
name: Huyse, Luc
Publisher: name: The University of British Columbia
Year: 2015

description: Corrosion is a time-dependent hazard for pipelines that gradually decreases the resistance of pressure containment. The corrosion growth can be inferred from a set of matched corrosion features observed in two successive in-line inspections. Experience shows that the measured corrosion growth between two inspections has often a mean value around zero and, usually, nearly half of the matched features have negative measured growth. Negative growth values are physically impossible as the underlying true corrosion process has strictly non-negative corrosion growth increments. In this paper, a Bayesian probability model is presented to estimate the actual corrosion growth conditional on the observed growth from a set of matched corrosion anomalies. The model assumes independence between sizing error and true feature depth and produces a strictly non-negative corrosion growth process that explicitly accounts for non-growing features. An Empirical Bayes approach is used to determine the prior distribution of the corrosion growth. The key findings in this paper are (1) the variance of the actual corrosion growth process is less than the observed variance of the direct measurements, (2) the upper percentiles of the posterior corrosion growth distribution may be lower than the direct measurements, and (3) the posterior distribution of the corrosion growth is non-negative. A numerical example is provided.
A Brief Review Article on Caper Berries
Creators: name: Patil VS*
name: Shaikh SR
name: Patil DR
name: Jain AS
name: Shaikh AZ
name: Dr. Pawar SP
Publisher: name: Zenodo
Year: 2024

description: Abstract

One of the most popular medicinal plants, Caparisspinosa L., is widely used throughout the world to treat a variety of human ailments. With reference to C. spinosa's traditional usage, growing methods, and phytochemical components, this research attempts to critically analyze the pertinent scientific literature. Iranian diabetes patients customarily consume the fruit of the caper plant, Capparis spinosa L. No controlled human investigation has yet been done to evaluate its effectiveness in treating hyperglycemia in type 2 diabetic patients. The caper, or Capparisspinosa L., is an aromatic plant that grows in the majority of the Mediterranean basin and certain areas of western Asia. C. spinosa L. has been used in traditional phytomedicine for a very long time as a medicinal herb. Extracted from C.spinosaL are polyphenols and many bioactive compounds. Reveal a variety of medicinal qualities that have drawn attention to this plant as a potential health booster.

Keywords: Caper berries, Alkaloids, Flavonoids, Type 2 Diabetic, Antioxidant Activity
Mutli-scale variations of ocean temperature off the coast of Nova Scotia: Analyses of in situ and remote sensing observations and high-resolution ocean models towards applications in ecosystem and fishery
Creators: name: Lu, Youyu
Publisher: name: Zenodo
Year: 2024

description: This talk was given at the 25th International SST Users’ Symposium and GHRSST Science Team Meeting (GHRSST25) held in Montreal, Canada/Online from 10 – 14 June 2024.

Explore the full program at GHRSST25 on the GHRSST Website here.

Abstract

Ocean temperature variations off the coast of Nova Scotia are quantified through analyses of data from in situ and satellite remote sensing observations, and high-resolution numerical ocean models. The analyses reveal significant variations at various time-space scales, including: 1) rapid cooling in nearshore waters associated with extreme cold-air outbreaks; 2) frequent cold spells at seabed along the coast from late fall to early spring; 3) large-scale cooling or warming spanning over a season or longer; 3) extensive upwelling along the coast from late-spring to fall; 4) space-time (seasonal and interannual) variations of marine heat waves and cold spells at surface and in the water column; and 5) interannual variations of upwelling along the coast. The forcing mechanisms and predictability of these variations are explored through analysis of atmospheric forcing and ocean model solutions. The potential relevance to applications in marine ecosystems and fishery is discussed.
Primary Pericardial Mesothelioma
Creators: name: Sousa, Marta
Publisher: name: EURORAD
Year: 2016
Subjects: subject: Mediastinum
subject: CT
subject: Conventional radiography
subject: Diagnostic procedure
subject: Neoplasia

description: Clinical History Image Findings Discussion Find Diagnosis Differential Diagnosis
description: male, 81 years
description: Clinical History: A 81 year old man admitted in the emergency room for months lasting, but recently aggravated, dyspnea, asthenia, chest pain and palpitations. He had a history of recent weight loss (6 kilograms in the last three months). He was under diagnostic investigat... Final Diagnosis: Primary pericardial mesothelioma.
Effects of Floquet Engineering on the Coherent Exciton Dynamics in Monolayer WS2
Creators: name: Conway, Mitchell
A.
name: Earl, Stuart K.
name: Muir, Jack B.
name: Vu, ThiHai-Yen
name: Tollerud, Jonathan O.
name: Watanabe, Kenji
name: Taniguchi, Takashi
name: Fuhrer, Michael
S.
name: Edmonds, Mark T.
name: Davis, Jeffrey
Publisher: name: Swinburne
Year: 2024

description: Coherent optical manipulation of electronic bandstructures via Floquet Engineering is a promising means to control quantum systems on an ultrafast time scale. However, the ultrafast switching on/off of the driving field comes with questions regarding the limits of the Floquet formalism (which is defined for an infinite periodic drive) through the switching process and to what extent the transient changes can be driven adiabatically. Experimentally addressing these questions has been difficult, in large part due to the absence of an established technique to measure coherent dynamics through the duration of the pulse. Here, using multidimensional coherent spectroscopy we explicitly excite, control, and probe a coherent superposition of excitons in the K and K′ valleys in monolayer WS2. With a circularly polarized, red-detuned pump pulse, the degeneracy of the K and K′ excitons can be lifted, and the phase of the coherence rotated. We directly measure phase rotations greater than π during the 100 fs driving pulse and show that this can be described by a combination of the AC-Stark shift of excitons in one valley and the Bloch-Siegert shift of excitons in the opposite valley. Despite showing a smooth evolution of the phase that directly follows the intensity envelope of the nonresonant pump pulse, the process is not perfectly adiabatic. By measuring the magnitude of the macroscopic coherence as it evolves before, during, and after the nonresonant pump pulse we show that there is additional decoherence caused by power broadening in the presence of the nonresonant pump. This nonadiabaticity arises as a result of interactions with the otherwise adiabatic Floquet states and may be a problem for many applications, such as manipulating qubits in quantum information processing; however, these measurements also suggest ways such effects can be minimized or eliminated.
Electrochemical Behavior of Single CuO Nanoparticles: Implications for the Assessment of their Environmental Fate
Creators: name: Zampardi, Giorgia
name: Thöming, Jorg
name: Naatz, Hendrik
name: Amin, Hatem M. A.
name: Pokhrel, Suman
name: Mädler, Lutz
name: Compton, Richard G.
Publisher: name: Wiley
Year: 2018
Subjects: subject: Single copper oxide nanoparticles electrochemistry
subject: Cyclic voltammetry
subject: Environmental fate
subject: Chloride ions
subject: Nitrate ions
subject: 80

description: The electrochemical behavior of copper oxide nanoparticles is investigated at both the single particle and at the ensemble level in neutral aqueous solutions through the electrode-particle collision method and cyclic voltammetry, respectively. The influence of Cl− and NO3− anions on the electrochemical processes occurring at the nanoparticles is further evaluated. The electroactivity of CuO nanoparticles is found to differ between the two types of experiments. At the single-particle scale, the reduction of the CuO nanoparticles proceeds to a higher extent in the presence of chloride ion than of nitrate ion containing solutions. However, at the multiparticle scale the CuO reduction proceeds to the same extent regardless of the type of anions present in solution. The implications for assessing realistically the environmental fate and therefore the toxicity of metal-based nanoparticles in general, and copper-based nanoparticles in particular, are discussed.
Machine Learning-Assisted Mapping of Gravitational Fieldsaround Irregular Solar System BodiesMachine Learning-Assisted Mapping of Gravitational Fieldsaround Irregular Solar System Bodies
Creators: name: Pires dos Santos, Pryscilla Maria
Publisher: name: figshare
Year: 2025
Subjects: classificationCode: 510905
subject: Solar system planetary science (excl. planetary geology)

description: This repository contains the data, code, and supporting materials used in the study:

Pires, P. (2025). *Machine Learning-Assisted Mapping of Gravitational Fields around Irregular Solar System Bodies*. Submitted to Universe (MDPI).

## Contents

- data: CSV files used for training and validating the ML models.
- figures: Selected figures generated from the study.
- code: Python scripts for:
  - Field generation using mascons
  - Potential smoothing and derivative computation
  - ML model training (Random Forest, XGBoost, LightGBM)
  - Classification of critical points via Hessian analysis

## Requirements

- Python 3.10+
- Required libraries: numpy, pandas, scikit-learn, xgboost, matplotlib, scipy

## Contact

For questions, please contact:  
**Pryscilla Pires**  
pryscilla.pires@fat.uerj.br
Bayesian networks in levee system reliability
Creators: name: Roscoe, Kathryn
name: Hanea, Anca
Publisher: name: The University of British Columbia
Year: 2015

description: We applied a Bayesian network to a system of levees for which the results of traditional reliability analysis showed high failure probabilities, which conflicted with the intuition and experience of those managing the levees. We made use of forty proven strength observations - high water levels with no evidence of failure - to refine the probability distributions of the random variables relevant for failure, and to improve the failure probability estimate of the system. We found that the use of these observations in the Bayesian network resulted in a decrease in the estimated failure probability of over two orders of magnitude.
The Concept of AI-Enhanced Mental Health Analysis Through social media
Creators: name: Researchscholar
Publisher: name: Zenodo
Year: 2025

description: The increasing prevalence of mental health disorders has prompted the exploration of innovative, scalable, and non-intrusive approaches for early detection and intervention. Social media platforms, where individuals frequently express thoughts, emotions, and behaviors, present a unique opportunity for real-time psychological assessment. This paper investigates the integration of Artificial Intelligence (AI) technologies—particularly natural language processing, machine learning, and deep learning—for the analysis of mental health indicators in social media content. It examines how linguistic features, behavioral patterns, and user interactions serve as proxies for emotional well-being, and evaluates various AI techniques employed in psychological profiling and sentiment analysis. Real-world applications, including AI-powered chatbots and platform-level suicide prevention tools, are explored alongside the methods of data collection and preprocessing. While AI enables early detection and broad accessibility, limitations such as algorithmic bias, contextual misinterpretation, and the risk of false diagnoses are discussed. The paper also addresses critical ethical, legal, and societal concerns surrounding privacy, consent, and data governance. Looking ahead, it emphasizes the need for multimodal, personalized, and culturally sensitive AI models co-developed with mental health professionals. This review highlights the promise of responsibly designed AI systems in augmenting mental health care by transforming passive digital behavior into actionable psychological insights, ultimately supporting more proactive and inclusive mental health strategies.
MPEC 2024-V108 : 2015 QX45
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2024
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469
subject: 2015 QX45

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
Random field modeling for the prediction of wall thickness of nuclear pipes considering data misalignment
Creators: name: Adegbola, Adetola
name: Yuan, Xian-Xun
name: Wang, Min
Publisher: name: The University of British Columbia
Year: 2015

description: Probabilistic structural integrity assessment has been increasingly used to ensure the fitness-for-service of the major systems, structures and components (SSCs) of a nuclear power plant. The probabilistic approach requires a sophisticated mathematical model to quantify the variability and uncertainty of the degradation involved in the SSCs. This paper presents a nonhomogeneous random field modeling approach to the prediction of wall thickness of nuclear pipes due to flow-accelerated corrosion. The approach addresses two practical issues in random field-based degradation modeling. It uses a moving-window kriging technique to estimate the missing measurements involved in ultrasonic scans, and then stitch the overlapping scan patches to make a whole random field for the wall thickness. The uniform random field becomes an important input for next-step structural integrity assessment using, e.g., stochastic finite element analysis. The proposed modeling approach is illustrated by a practical example of nuclear feeder piping.
Utilizing Innovative Technology Skills in Academic Staff Personnel Management in Universities for Enhancing Economic Development in Bayelsa State
Creators: name: Epelle, P. A.
name: Epelle, T. B.
Publisher: name: gjrpublication
Year: 2024

description: The study investigated utilization of innovative technology skills in academic staff personnel management in universities for enhancing economic development in Bayelsa State. The descriptive survey was employed for the study. Three research questions guided the study. A sample size of 150 academic staff was drawn from a population of 1630 academic staff in universities in Bayelsa State using the simple random sampling technique. The instrument of the study was an 18-item self-structured questionnaire titled “Utilizing Innovative Technology Skills in Academic Staff Personnel Management for Economic Development Questionnaire” (UITSASPMEDQ) structured on a fourpoint Likert-type scale of Very High Extent (VHE)=4, High Extent (HE)=3, Low Extent (LE)=2 and Very Low Extent (VLE)=1, and validated by two experts from the Department of Educational Management. The test-retest method was used and a reliability coefficient of 0.82 was obtained using the Cronbach Alpha method. Mean and Standard Deviation were used to answer the research questions, Results of the findings revealed that administrators’ use of innovative technology skills like e-mailing skills, micro soft office skills, web browsing skills and conferencing skills in academic staff personnel management in universities to a high extent enhance economic development in Bayelsa State. In conclusion, innovative technology skills are very vital and are required at all times for the effective management of academic staff personnel for increased productivity. Among the recommendations made was that administrators of universities should undergo training regularly so as to be constantly exposed to innovative technology skills for effective and efficient management of academic staff personnel that will turn around the economic growth and development indices in Bayelsa State.
Fibre reinforced alkali activated composites exposed to elevated temperature
Creators: name: Shijagurumayum, Chitra
name: Nongthombam Shyamananda Singh
name: Thokchom, Suresh
Publisher: name: Faculty of Engineering, Khon Kaen University
Year: 2022
Subjects: Alkali activation
Compressive strength
Micro steel
Polypropylene
Tensile strength

description: Engineering and Applied Science Research, 49, 4, 593-602
title: On A New One-Dimensional Model to Describe Tunnel Fires
Creators: name: Gasser, Ingenuin
Publisher: name: Bauhaus-Universität Weimar
Year: 2003
Subjects: subject: Tunnel
subject: Brandgefahr
subject: Modellierung
subject: 620

description: We present a model derived to describe tunnel fires. The model originates in a compressible description of the air in the tunnel. It takes into account the strong buoyancy forces and at the same time the small Mach-number of the airflow. We comment on the derivation, on analytical results and on numerical simulations of the model. The model has been validated using data from real tunnel fire experiments. It shows good agreement with the real situation.
description: Internationales Kolloquium über Anwendungen der Informatik und Mathematik in Architektur und Bauwesen : 10. bis 12.06.2003, Bauhaus-Universität Weimar, vol. 16, 2003
Characterization and mechanical properties of AA1100 aluminium alloy coated on a metakaolin substrate produced by the spot friction surfacing process
Creators: name: Sukangkana Talangkun
name: Dhammasook Mingmuang
Publisher: name: Faculty of Engineering, Khon Kaen University
Year: 2022
Subjects: Aluminium AA1100
Metakaolin
The spot friction surfacing process
Solid-state joining

description: Engineering and Applied Science Research, 49, 4, 603-611
Analysis of the effects of heat treatment on the tensile properties of coir fibres using Minitab-18 statistical software
Creators: name: Chioma Ifeyinwa Madueke
name: Umunakwe, Reginald
name: Oguejiofor Miracle Mbah
Publisher: name: Faculty of Engineering, Khon Kaen University
Year: 2022
Subjects: Coir fibre
Heat treatment
Vacuum oven
Tensile properties
Statistical analysis
Weibull distribution

description: Engineering and Applied Science Research, 49, 4, 612-621
Linear Additivity
Creators: name: Urooj Zehra Taqvi
name: Modchalingam, Shanaathanan
name: Henriques, Denise
name: Gastrock, Raphael
name: Ruttle, Jennifer E.
name: Bernard Marius 'T Hart
Publisher: name: OSF Registries
Year: 2024
Subjects: subject: Applied Behavior Analysis
subject: Life Sciences
subject: Neuroscience and Neurobiology
subject: Cognition and Perception
subject: Social and Behavioral Sciences
subject: Psychology
subject: FOS: Psychology

description: Data and code to go with a project on linear additivity of implicit and explicit components of adaptation.
Affinity predictions with FEP+: a different perspective on performance and utility
Creators: name: Guanglei Cui
Publisher: name: F1000Research
Year: 2016

description: This is a talk presented at the Vertex Free Energy Workshop in 2016 (http://www.alchemistry.org/wiki/2016_Workshop_on_Free_Energy_Methods_in_Drug_Design:_Targeting_Cancer) on the evaluation of FEP+ (Schrodinger) at GlaxoSmithKline. In silico binding affinity prediction (absolute or relative) is essential part of computer-aided drug design. Therefore it is of great importance to have an accurate assessment of the performance of computational methods, such as FEP+. In addition to comparing the FEP+ results of 8 diverse targets and ~250 compounds with experiments, a new performance metric – prediction interval (PI), was proposed to characterize the error distribution of relative affinity predictions. Based on the hypothesis of normally distributed ligand binding affinities, a null model was suggested to capture the effect of one type of random predictions. The PI of this null model (Gaussian Random Affinity Model or GRAM) is analytically determined and only depends on the variability in the dataset, which makes the model ideal for comparing the performance of various relative affinity predictions, especially when the performance in general is outside the ideal regime. The PI at 95% confidence level of FEP+ is around [-2.2, 2.2] kcal/mol, which is seemingly robust across multiple targets evaluated in this study. Although this outperforms the proposed null model, the PI is still high especially when the dynamic range of the measured activities is considered. With this assessment, we conclude that FEP+ may be used with confidence in a few specific scenarios determined by the current PI of the method and the potency of the reference ligand.
อนาคตสังคมไทยภายใต้อำนาจตุลาการ The Future of Thai Society under Judicial Power
Creators: name: อรรถจักร์ สัตยานุรักษ์
Publisher: name: คณะนิติศาสตร์ มหาวิทยาลัยเชียงใหม่
Year: 2559
Subjects: อำนาจตุลาการ, สังคมไทย, การเมือง

description: วารสารนิติสังคมศาสตร์, 9, 1
อุบัติการณ์ และปัจจัยเสี่ยงที่สัมพันธ์กับการติดเชื้อแบคทีเรียกลุ่ม Enterobacteriaceae ดื้อต่อยา Carbapenem ในผู้ป่วยที่เข้ารับการรักษาในแผนกอายุรกรรม ด้วยอาการปอดอักเสบ และติดเชื้อระบบทางเดินปัสสาวะ โรงพยาบาลโพธาราม จังหวัดราชบุรี
Creators: name: นาตยา   ปริกัมศีล
Publisher: name: สถาบันบำราศนราดูร
Year: 2565
Subjects: การติดเชื้อแบคทีเรีย
การเพาะเชื้อในกระแสเลือด
การทดสอบความไวต่อยาต้านจุลชีพ
Bacterial infection
Hemoculture
Antimicrobial susceptibility test

description: วารสารสถาบันบำราศนราดูร, 16, 1, 13-21
title: Visualisierung von IFC-Objekten mittels Java3D
Creators: name: Theiler, Michael
name: Tauscher, Eike
name: Tulke, Jan
name: Riedel, Thomas
Publisher: name: Universitätsverlag
Year: 2009
Subjects: subject: IFC
subject: Brep
subject: STEP
subject: Visualisierung
subject: Schnittstelle
subject: 004

description: Die Planung komplexer Bauwerke erfolgt zunehmend mit rechnergestützten Planungswerkzeugen, die den Export von Bauwerksinformationen im STEP-Format auf Grundlage der Industry Foundation Classes (IFC) ermöglichen. Durch die Verfügbarkeit dieser Schnittstelle ist es möglich, Bauwerksinformationen für eine weiterführende applikationsübergreifende Verarbeitung bereitzustellen. Ein großer Teil der bereitgestellten Informationen bezieht sich auf die geometrische Beschreibung der einzelnen Bauteile. Um den am Bauprozess Beteiligten eine optimale Auswertung und Analyse der Bauwerksinformationen zu ermöglichen, ist deren Visualisierung unumgänglich. Das IFC-Modell stellt diese Daten mit Hilfe verschiedener Geometriemodelle bereit. Der vorliegende Beitrag beschreibt die Visualisierung von IFC-Objekten mittels Java3D. Er beschränkt sich dabei auf die Darstellung von Objekten, deren Geometrie mittels Boundary Representation (Brep) oder Surface-Model-Repräsentation beschrieben wird.
Reliability and controllability of infrastructure networks : do they match?
Creators: name: Li, Jian
name: Dueñas-Osorio, Leonardo
name: Chen, Changkun
Publisher: name: The University of British Columbia
Year: 2015

description: Reliability-based design principles for infrastructure systems continue advancing in engineering practice, but it is unclear whether and how these principles support emerging topological controllability (TC) requirements in the context of smart systems. This paper takes an initial step to evaluate the correlation between connectivity reliability (CR) and topological controllability (TC). Taking six city-level power transmission networks and thousands of artificial networks—generated from the original power transmission networks—this paper reveals that a dense and homogeneous network topology is better to satisfy CR and TC requirements, than more common sparse and heterogeneous networks when node attributes are not considered explicitly. Also, high degree nodes are found to rank high in terms of both CR and TC. However, when node attributes are accounted for, the reliability-based node importance measure for generators may underestimate some important nodes in terms of TC, and vice versa—an issue not observed for substation nodes. Hence, the findings in this paper suggest a potential new direction to enhance reliability-based design by integrating it with controllability based measures that will be relevant as infrastructure networks evolve into more intensive information-based systems.
mr.
Creators: name: Singh, Lalit Kumar
Publisher: name: Zenodo
Year: 2022
Subjects: counselling
delhi ncr
undergraduation and postgraduated students

description: Career guidance and student counseling is an extremely broad and a comprehensive concept, in order to implement this task effectively there are number of factors that need to be taken under consideration. The guidance regarding ones career and the counseling of students involves a conversation between a career counselor; who should be an expert in his field, he should possess all the skills, abilities, knowledge and information regarding the job openings, prospects, opportunities that are available and possess the ability to effectively communicate with the person who is seeking counseling and guidance. On the other hand, the students or job seekers or a person who is already engaged in employment and is willing to make a transformation is required to posses effective communication skills, a pleasant personality, an approachable nature, an amiable attitude, should be well qualified and possess the required skills and abilities to work and get engaged into an employment setting. In this research paper, the researcher has conducted research in order to recognize the significance of career guidance and student counseling; the main areas that have been underscored in this research paper are understanding the significance of career guidance and student counseling, the consequence of career guidance and student counseling, purposes of counseling and guidance, characteristics of career counseling, assumptions underlying the practice of career counseling, and influential factors in career guidance and student counseling. Career guidance has gained importance in all educational institutions, in higher educational institutions, there is a separate counseling center where people who are in an apprehensive state or worried or stressed about their career prospects and future life, come to acquire help and assistance, so that their concerns can be alleviated, they are able to acquire an employment opportunity or get engaged in a good career which may bring them contentment.
Probabilistic treatment of storm rotation and wind-driven rain deposition in a hurricane model
Creators: name: Johnson, Timothy J.
name: Pinelli, Jean-Paul
name: Cocke, Steven
Publisher: name: The University of British Columbia
Year: 2015

description: Hurricane catastrophe vulnerability models aim to capture the average building exterior and interior damages under extreme uncertainty. Interior damages, which may represent the majority of the repair bill are primarily due to wind driven rain intrusion. Rain intrusion is highly dependent on the storm direction with respect to the building. This paper presents a methodology to capture the effects of storm rotation on the wind driven rain that an “average” building would be exposed to during a hurricane. Two statistical methods are investigated and compared to best capture these effects with the goal of combining a time dependent rain model with a non-time dependent physical damage model.
การเมืองเชิงตุลาการ Judicialization of Politics
Creators: name: สมชาย ปรีชาศิลปกุล
Publisher: name: คณะนิติศาสตร์ มหาวิทยาลัยเชียงใหม่
Year: 2559
Subjects: การเมืองเชิงตุลาการ, บทบาทของฝ่ายตุลาการ

description: วารสารนิติสังคมศาสตร์, 9, 1
การปกครองโดยตุลาการ Gouvernment by Judges
Creators: name: อภิญญา แก้วกำเหนิด
Publisher: name: คณะนิติศาสตร์ มหาวิทยาลัยเชียงใหม่
Year: 2559
Subjects: ตุลาการ, การปกครอง

description: วารสารนิติสังคมศาสตร์, 9, 1
Supplementary document for Ultra-wideband Two-dimensional Airy Beam Generation with Amplitude-tailorable Metasurface - 6221021.pdf
Creators: name: Qu, Kai
name: Li, Bingqing
name: Zhao, Junming
name: Chen, Ke
name: Jiang, Tian
name: Feng, Yijun
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: working mode; coupling effect; different amplitude profiles; wideband performance;efficiency
Probabilistic demand and supply resilience model for electric power supply system under seismic hazard
Creators: name: Sun, Li
name: Didier, Max
name: Delé, Eric
name: Stojadinovic, Bozidar
Publisher: name: The University of British Columbia
Year: 2015

description: A compositional framework for the probabilistic assessment of the seismic resilience of an electric power supply system and a community it serves is proposed and illustrated in this paper. This framework is based computing the electric power supplied by the system and the electric power demand generated by the community through the earthquake damage absorption and recovery phases. Losses occurring when the demand exceeds the supply are a direct measure of the lack of EPSS resilience. During the damage absorption phase, the loss of system supply and the community demand is computed using component vulnerability functions. An inverse computation is done during the recovery phase using component recovery functions, defined as conditional probability that a component function will be fully restored after a certain recovery time period given its damage level. The integration of the component vulnerability and recovery functions for the electric power supply system considers the topology of the system, its function, and the correlations among its components. Similarly, integration of the community component vulnerability and recovery functions can account for the social and economical interactions in the community. A case study using a portion of the IEEE 118 Bus Test Case is used to illustrate the framework, develop a set of vulnerability and recovery functions, and compute direct and derived electrical power supply system seismic resilience measures.
Checkpoints of Hyperbolic Softmax loss, AAML, and LMCL trained on CIFAR10 using Model C from I2CS paper
Creators: name: Anonymous Author(S)
Publisher: name: Zenodo
Year: 2022

description: Checkpoints of Hyperbolic Softmax loss, AAML (ArcFace), and LMCL (CosFace) trained on CIFAR10 using Model C from I2CS paper with fixed seeds of 567, 76, 65.
MPEC 2024-V109 : 2024 VA2
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2024
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469
subject: 2024 VA2

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
ศาลและแสง Court and Light
Creators: name: ปีดิเทพ อยู่ยืนยง
Publisher: name: คณะนิติศาสตร์ มหาวิทยาลัยเชียงใหม่
Year: 2559
Subjects: การส่องรุกล้ำของแสง, การสะท้อนของแสง, สิทธิได้รับแสงสว่าง, ศาลยุติธรรม

description: วารสารนิติสังคมศาสตร์, 9, 1
Nonlinear stochastic dynamic analysis for performance based multi-objective optimum design considering life cycle seismic loss estimation
Creators: name: Mitseas, Ioannis P.
name: Kougioumtzoglou, Ioannis A.
name: Beer, Michael
Publisher: name: The University of British Columbia
Year: 2015

description: A performance-based multi-objective design optimization framework for nonlinear/hysteretic multi-degree-of-freedom (MDOF) structural systems subject to evolutionary stochastic excitation is formulated. The core of the developed framework is an efficient approximate dimension reduction technique based on the concepts of statistical linearization and of stochastic averaging for determining the non-stationary system response amplitude probability density functions (PDFs); thus, computationally intensive Monte Carlo simulations are circumvented. Note that the approach can handle readily stochastic excitations of arbitrary non-separable evolutionary power spectrum (EPS) forms that exhibit strong variability in both the intensity and the frequency content. Further, approximate closed-form expressions are derived for the non-stationary inter-story drift ratio amplitude PDFs corresponding to each and every DOF. In this regard, considering appropriately defined damage measures structural system related fragility curves are determined at a low computational cost as well. Finally, the structural system design optimization problem is formulated as a multi-objective one to be solved by a Genetic Algorithm based approach. A building structure comprising the versatile Bouc-Wen (hysteretic) model serves as an example for demonstrating the efficiency of the methodology.
System reliability of suspension bridges considering static divergence and flutter
Creators: name: Øiseth, Ole
name: Rönnquist, Anders
name: Naess, Arvid
Publisher: name: The University of British Columbia
Year: 2015

description: The Hardanger Bridge has recently been constructed in Norway. The main span is 1310 m, and since the bridge has only two traffic lanes and one lane for bicycles and pedestrians, it is very slender and susceptive to wind induced vibrations. The reliability of the Hardanger Bridge considering static divergence and flutter is studied in this paper. An extensive finite element model of the structure is used to obtain the still-air dynamic properties of the bridge while results from wind tunnel tests are used to represent the aerodynamic properties in terms of aerodynamic derivatives and static load coefficients. The mean wind velocity at the site is represented by a Gumbel distribution and the scatter in the experimental results of the aerodynamic derivatives and static load coefficients are modelled as correlated Gaussian variables. It is shown that by exploiting the regularity of the probability of failure, the system reliability can be predicted using a reasonable amount of simulations.
หลักการและความเป็นจริงในศาล: การเรียนรู้ผ่านการสังเกตการณ์กระบวนการพิจารณาคดี Learning through Trial Observation: Principles and Practice
Creators: name: ดามร คำไตรย์
Publisher: name: คณะนิติศาสตร์ มหาวิทยาลัยเชียงใหม่
Year: 2559
Subjects: การเรียนรู้และสังเกตการณ์, กระบวนการทางศาล, การพิจารณาโดย เปิดเผย, การพิจารณาอย่างเป็นธรรม, สิทธิมนุษยชน

description: วารสารนิติสังคมศาสตร์, 9, 1
title: Boolesche Operationen für die Visualisierung von IFC-Gebäudemodellen
Creators: name: Theiler, Michael
name: Tauscher, Eike
name: Tulke, Jan
name: Riedel, Thomas
Publisher: name: Shaker Verlag
Year: 2013
Subjects: subject: IFC
subject: Boolesche Operationen
subject: Visualisierung
subject: Hubbard
subject: Laidlaw
subject: 004

description: Die Planung von komplexen Bauwerken erfolgt zunehmend mit Planungswerkzeugen, die den Export von Bauwerksinformationen im STEP-Format auf Grundlage der IFC (Industry Foundation Classes) erlauben. Durch die Verfügbarkeit dieser Schnittstelle ist es möglich, Bauwerksinformationen für die weiterführende Verarbeitung zu verwenden. Zur Visualisierung der geometrischen Daten stehen innerhalb der IFC verschiedene geometrische Modelle für die Darstellung von Bauteilen zur Verfügung. Unter anderem werden für das „Ausschneiden“ von Öffnungen aus Bauteilen (z.B. für Fenster und Türen) geometrische boolesche Operationen benötigt. Gegenstand des Beitrags ist die Vorstellung eines Algorithmus zur Berechnung von booleschen Operationen auf Basis eines triangulierten B-Rep (Boundary Representation) Modells nach HUBBARD (1990). Da innerhalb von IFC-Gebäudemodellen Bauteile oft das Resultat mehrerer boolescher Operationen sind (z.B. um mehrere Fensteröffnungen von einer gegebenen Wand abzuziehen), wurde der Algorithmus von Hubbard angepasst, sodass mehrere boolesche Operationen gleichzeitig berechnet werden können. Durch diese Optimierung wird eine deutliche Reduzierung der benötigten Berechnungen und somit der Rechenzeit erreicht.
วรรณกรรมศึกษาตุลาการ: โลกทัศน์ต่อตุลาการใน "พี่น้องคารามาซอฟ" Literature and Judicial Studies: Judicial Paradigm in the Brothers of Kalamazov
Creators: name: กฤษณ์พชร โสมณวัตร
Publisher: name: คณะนิติศาสตร์ มหาวิทยาลัยเชียงใหม่
Year: 2559
Subjects: กฎหมายกับวรรณกรรม, ตุลาการศึกษา, พี่น้องคารามาซอฟ

description: วารสารนิติสังคมศาสตร์, 9, 1
บทปริทัศน์หนังสือ Judicial Review in New Democracies: Constitutional Court in ASIAN cases
Creators: name: สงกรานต์ ป้องบุญจันทร์
Publisher: name: คณะนิติศาสตร์ มหาวิทยาลัยเชียงใหม่
Year: 2559
Subjects: -

description: วารสารนิติสังคมศาสตร์, 9, 1
Joint earthquake-snow hazard characterization and fragility analysis of wood-frame structures
Creators: name: Wang, Yue
name: Rosowsky, David V.
Publisher: name: The University of British Columbia
Year: 2015

description: This paper presents a study to statistically characterize the joint earthquake-snow hazard and subsequently develop maximum inter-story drift fragility curves for a series of archetype wood-frame structures. Of particular focus are structures built in heavy-snow regions where seismic design may govern (and hence the roof snow load contributes additional seismic mass). While load standards such as ASCE 7 provide guidance on combining design loads for life safety design, for example, when considering base shear, guidance is not yet available for other performance levels (or limit states with specified non-exceedance probabilities), other structural responses (e.g., maximum inter-story drift), and hazard levels other than that implied in the life safety design (e.g., 2%/50 years). All of these are expected to become more significant as performance based-design procedures continue to evolve and gain acceptance in the design community. Using Stampede Pass, WA as the study site, snow loads and earthquake loads were modeled as stochastic pulse processes and the joint snow-earthquake hazard contours were constructed (using simulation) to characterize the joint snow-earthquake hazard at different hazard levels. The uses of the joint hazard contours in performance-based engineering framework applications also are discussed and the suitability of current constant companion load coincidence factors, developed for use in strength-based design, is examined. The peak inter-story drift distribution and the seismic fragility curves were then developed for a set of archetype wood-frame structures at different joint hazard levels. The results show that the current strength-based design procedures are not risk-consistent for these types of wood-frame structures, affirming that recently developed displacement-based design procedures may provide a more risk-consistent design methodology.
title: Damping in Bolted Joints
Creators: name: Theiler, Michael
name: Könke, Carsten
Publisher: name: Bauhaus-Universität Weimar
Year: 2013
Subjects: subject: Damping
subject: 624

description: With the help of modern CAE-based simulation processes, it is possible to predict the dynamic behavior of fatigue strength problems in order to improve products of many industries, e.g. the building, the machine construction or the automotive industry. Amongst others, it can be used to improve the acoustic design of automobiles in an early development stage. Nowadays, the acoustics of automobiles plays a crucial role in the process of vehicle development. Because of the advanced demand of comfort and due to statutory rules the manufacturers are faced with the challenge of optimizing their car’s sound emissions. The optimization includes not only the reduction of noises. Lately with the trend to hybrid and electric cars, it has been shown that vehicles can become too quiet. Thus, the prediction of structural and acoustic properties based on FE-simulations is becoming increasingly important before any experimental prototype is examined. With the state of the art, qualitative comparisons between different implementations are possible. However, an accurate and reliable quantitative prediction is still a challenge. One aspect in the context of increasing the prediction quality of acoustic (or general oscillating) problems - especially in power-trains of automobiles - is the more accurate implementation of damping in joint structures. While material damping occurs globally and homogenous in a structural system, the damping due to joints is a very local problem, since energy is especially dissipated in the vicinity of joints. This paper focusses on experimental and numerical studies performed on a single (extracted) screw connection. Starting with experimental studies that are used to identify the underlying physical model of the energy loss, the locally influencing parameters (e.g. the damping factor) should be identified. In contrast to similar research projects, the approach tends to a more local consideration within the joint interface. Tangential stiffness and energy loss within the interface are spatially distributed and interactions between the influencing parameters are regarded. As a result, the damping matrix is no longer proportional to mass or stiffness matrix, since it is composed of the global material damping and the local joint damping. With this new approach, the prediction quality can be increased, since the local distribution of the physical parameters within the joint interface corresponds much closer to the reality.
A Markov regime-switching framework application for describing El Niño Southern Oscillation (ENSO) patterns
Creators: name: Gallo, Iván Cárdenas
name: Sánchez-Silva, Mauricio
name: Akhavan-Tabatabaei, Raha
name: Bastidas-Arteaga, Emilio
Publisher: name: The University of British Columbia
Year: 2015

description: The El Niño-Southern Oscillation (ENSO) is an ocean – atmosphere phenomenon that involves sustained sea surface temperature fluctuations in the Pacific Ocean. This causes disruption in the behavior of the ocean and the atmosphere having important consequences on the global weather. This paper develops a stochastic model to describe El Niño-Southern Oscillation patterns. A Markov Switching Autoregressive model (MS-AR) was implemented to fit the Southern Oscillation Index (SOI), a variable that explains the phenomenon. The model consists of two autoregressive processes describing the time evolution of SOI, each of which associated with a specific phase of ENSO (El Niño and la Niña). The switching between these two models is governed by a discrete time Markov chain. We study the advantages of incorporating time-varying transition probabilities between them and show that the fitted model provides an adequate description of the time series, and demonstrate its utility in analysis and evaluation of the phenomenon.
title: Model Validation and Simulation
Creators: name: :None
Publisher: name: Verlag der Bauhaus-Universität Weimar
Year: 2013
Subjects: subject: Modeling
subject: Validation
subject: Simulation
subject: Summer School
subject: 620

description: The Bauhaus Summer School series provides an international forum for an exchange of methods and skills related to the interaction between different disciplines of modern engineering science. The 2012 civil engineering course was held in August over two weeks at Bauhaus-Universität Weimar. The overall aim was the exchange of research and modern scientific approaches in the field of model validation and simulation between well-known experts acting as lecturers and active students. Besides these educational intentions the social and cultural component of the meeting has been in the focus. 48 graduate and doctoral students from 20 different countries and 22 lecturers from 12 countries attended this summer school. Among other aspects, this activity can be considered successful as it raised the sensitivity towards both the significance of research in civil engineering and the role of intercultural exchange. This volume summarizes and publishes some of the results: abstracts of key note papers presented by the experts and selected student research works. The overview reflects the quality of this summer school. Furthermore the individual contributions confirm that for active students this event has been a research forum and a special opportunity to learn from the experiences of the researchers in terms of methodology and strategies for research implementation in their current work.
description: Schriftenreihe des Instituts für Konstruktiven Ingenieurbau, vol. 23
Supplementary document for Asynchronous photonic time-delay reservoir computing - 6221061.pdf
Creators: name: Tang, Jiayan
name: Lin, Bao-De
name: Shen, Yi-Wei
name: Li, Ruiqian
name: Yu, Jingyi
name: He, Xuming
name: Wang, Cheng
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Effects of strong optical feedback