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Adaptasi Dan Validasi Skala Kelekatan Terhadap Kecerdasan Artifisial, Theda Renanita, Julaibib Julaibib, Yohanes Budiarto

Jurnal Psikologi Sosial

Recent years have witnessed renewed interest in how attachment is no longer limited to human figures. Instead, the attachment discourses now also encompass artificial intelligence (AI). Attachment to AI could be caused by a number of factors which could potentially lead to some psychological consequences, hence this new dynamic calls for further in-depth inquiries to understand it better.

To date, no previous study has developed an Indonesian version scale to measure AI attachment that is adequate in terms of its psychometric properties. The primary aim of this study is to demonstrate the adaptation and validation of the attachment to AI …

Pemaknaan Perilaku Phubbing Dalam Interaksi Sosial Pada Generasi Z Dan Generasi Milenial: Sebuah Studi Kasus Berganda, Ikhwanul Ihsan Armalid, Zidan Achmad, Wulan Zaesa Aurellia, Azimatul Mardliyah

Jurnal Psikologi Sosial

The development of digital technology has transformed patterns of social interaction and given rise to the phenomenon of phubbing, which refers to ignoring one’s interlocutor due to smartphone use. This study aims to examine the meaning-making of phubbing behavior among the Millennial Generation and Generation Z in social interactions, focusing on differences in meaning, emotional responses, and ethical judgments. This study employed a qualitative approach with a multi-case study design. Data were collected through in-depth interviews and observations involving seven participants selected using purposive sampling techniques. Data analysis was conducted through verbatim transcription, coding, and thematic analysis using the constant …

Disturbance-Learning Inertia Estimation Using Artificial Neural Networks For Power System Stability, Sospeter Igaanja Gabriel, Francis Mwasilu, Peter Makolo Dr.

Tanzania Journal of Engineering and Technology (TJET)

ABSTRACT

Power systems are progressively shifting towards low inertia as a result of incorporating significant amounts of intermittent and converter-based renewable energy sources, such as wind and solar power, into the current power grid network. This integration poses considerable problems to inertia and frequency control within the network due to a reduction in the proportion of synchronous generators. Furthermore, rapid frequency deviations occur due to the disparity between supply and demand during contingencies, complicating the maintenance of frequency stability within the power system. The disturbance-learning inertia estimation method for power system stability is presented. The simulation analysis is performed using …

Commoveo Decisis And Democratic Devolution, Cristina Carmody Tilley

Faculty Publications

The Roberts Court is giving the nation a bad case of constitutional whiplash. Law that was once thought etched in stone is being erased and replaced, with gleeful regularity. Movement conservatives are cheering the rollback of race and gender precedents. Movement liberals are shuddering at every toppled landmark. Meanwhile, lay Americans are starting to wonder when they ceded control over the fabric of their social lives to an elite legal apparatus that cannot be trusted to steer in a straight line. This Article considers whether the Court’s destabilization of the nation’s individual rights architecture might prompt a redistribution of democratic …

Farhan Beig V. Ocugen Inc

2026 Decisions

USDC for the Eastern District of Pennsylvania

Next Steps In Advancing Pediatric Care In Southern Nevada, The Lincy Institute

Lincy Institute Events

The Lincy Institute released new research evaluating the Southern Nevada pediatric care ecosystem. The report, "An Evaluation of Southern Nevada’s Pediatric Care Ecosystem," offers recommendations to develop a stronger and more coordinated pediatric care ecosystem before the stand-alone children’s hospital being developed by Intermountain Health opens in 2030 and identifies the components of an integrated statewide network to provide all of Nevada’s children with access to high-quality care. The event also featured panel discussions with pediatric care providers and policymakers.

Panel 1 - Pediatric Care Providers

Moderator — Tina Quigley, Project Facilitator, The Lincy Institute

Panelists — Lisa …

An Evaluation Of Southern Nevada’S Pediatric Care Ecosystem, David Damore, Tina Quigley, Nick Fiore

Policy Briefs and Reports

In 2024, The Lincy Institute and the Nevada Health and Bioscience Corporation released a report prepared by the consulting firm Tripp Umbach detailing the case for a stand-alone children’s hospital in Southern Nevada. Shortly thereafter, Intermountain Health announced it would build Nevada’s first such facility in Las Vegas, expected to open in 2030. To complement the hospital’s development, The Lincy Institute undertook an independent evaluation of the regional pediatric care landscape. The analysis draws on secondary data and discussions with advocates, health system administrators, practitioners, and providers. The report examines:

• Fiscal, resource, and workforce challenges underlying Nevada’s poor population-level pediatric …

Strengthening The Philippines' Agri-Fishery Rde System: A Case Study Of A Public Coordinating Agency As A Bridging Organization, Cynthia Remedios V. De Guia, Luis Rey I. Velasco, Maria Faina L. Diola

Journal of Public Affairs and Development

The Philippine agricultural research, development, and extension (RDE) system has long struggled to live up to its ideals. Decades after the passage of the Agriculture and Fishery Modernization Act (AFMA), the RDE system was reported to have failed to innovate, largely because it failed to translate research into development outcomes. This has resulted from persistent gaps in knowledge exchange, institutional linkages, and collaboration among system actors. In fragmented systems, meaningful interaction and trust seldom emerge spontaneously, making bridging mechanisms necessary. Bridging organizations (BOs) play this role by connecting multiple and diverse actors, mediating relationships, enabling knowledge flows, and enhancing capacities …

Digital Companions Or Relational Substitutes? Understanding The Use Of Generative Ai As Storytelling Companion Among Young Adults, Lail Queeny Nurfaizah, Syurawasti Muhiddin Ms

Jurnal Psikologi Sosial

Objectives. This study aims to explore the factors underlying the use of GenAI as a storytelling companion among young adults. Method. A qualitative approach was employed within an interpretivist paradigm, using an open-ended questionnaire as the primary data collection instrument. A total of 412 participants aged 19–33 years were recruited through purposive sampling. Data were analyzed using data-driven thematic analysis following Braun and Clarke's six-phase framework. Results. Two major themes emerged: Driving Factors and Barriers to Continuing Interaction. Each theme comprised four sub-themes organized around cognitive, affective, instrumental, and social dimensions, yielding 26 sub-themes in total. Driving factors were predominantly …

The Algorithmic Narcissus: Ai Validation And The Atrophy Of The 'Athletic' Social Self, Ilham Phalosa Reswara, Anggi Mayangsari

Jurnal Psikologi Sosial

Artificial intelligence systems designed around continuous affirmation and minimal friction are becoming increasingly prominent as social and relational partners in everyday life. This article examines how sustained interaction with such frictionless AI systems may reshape the developmental conditions under which social selfhood forms and is maintained. Drawing on Cooley's (1902) looking glass self, Kohut's (1971) concept of optimal frustration, and the developmental literature on social competence, the article argues that frictionless AI may distort the social mirror through which identity forms, remove the manageable frustration that appears necessary for psychological growth, weaken empathic capacity, and erode the social stakes that …

Penerapan Digital Parenting Untuk Menangani Dampak Negatif Bermain Gawai Terhadap Kemampuan Prososial Anak Usia Dini, Pria Dita Anis Wari, Muqowim Muqowim

Jurnal Psikologi Sosial

Implementing digital parenting is an alternative for parents to address the negative impacts of gadget use on the prosocial abilities of early childhood. This is particularly relevant for working mothers who have limited time to accompany their children's digital activities. This study aims to examine the perceptions of working mothers regarding the implementation of digital parenting as an effort to enhance the prosocial abilities of early childhood, the forms of implementation, and the dynamics experienced. This research is qualitative and phenomenological in nature. The subjects of the study consist of three working mothers with different professions and children aged 5-6 …

Sharing Toys, Sharing Talks, Sharing Thoughts: Siblings’ Role In Language Skills And Theory Of Mind In Children, Khansa Nabila Anjani, Ike Anggraika Kuntoro

Jurnal Psikologi Sosial

Background: Theory of mind (ToM) refers to the ability to understand one’s own and others’ mental states and is closely related to children’s prosocial behavior. Previous research has linked ToM to language skills and sibling factors; however, findings remain inconsistent. Siblings may function as early social partners who support language use and social–cognitive development, thereby influencing ToM. This study examined whether sibling presence moderates the relationship between language skills and ToM in children. Methods: Participants were 117 children aged 4–7 years from the Jabodetabek area, recruited using convenience sampling. A simple moderation analysis with bootstrapping was conducted. Results …

Gambaran Generasi Z Yang Kesepian Dalam Penggunaan Chat Ai Sebagai Pemenuhan Kebutuhan “Someone To Talk”, Ikhwanul Ihsan Armalid, Febty Zahra Arsiwi, Qisthi Fathiyyah, Ratri Mayzakky Afra Syahida

Jurnal Psikologi Sosial

This study aims to understand the experiences of Generation Z individuals who experience loneliness in utilizing Chat AI to fulfill their need for someone to talk to within a socio-emotional context. The study employed a qualitative approach using a phenomenological method involving six Generation Z participants aged 18 to 25 who had used Chat AI for emotional sharing or venting. Data were collected through semi-structured interviews and analyzed using thematic analysis. The thematic analysis yielded six main themes: the dynamics of Generation Z social interactions, experiences of loneliness in social life, patterns of Chat AI usage, Chat AI as a …

Bifurcation Dynamics Of A Harvested Predator-Prey Model, Hala H. Emam, Mohamed F. Abouelenein, Mona Anis, M. Y. Hamada, F. A. Atia, H. El-Metwally

Mathematical Modelling and Numerical Simulation with Applications

In ecosystems, the harvesting effect is essential to preserving the relationships between prey and predator. This work examines a model of predator-prey in discrete time with harvesting. The Jacobian matrix's eigenvalues are calculated for the associated fixed points. We examine the dynamical and qualitative analysis of this model, look into the criteria for stability and bifurcation, and analyze analytical results that show the rich dynamics and complexity of this model. We give sufficient circumstances for the Period-doubling at the interior equilibrium point by employing the harvesting effect. The discrete system's chaos control is carried out, and the outcomes are supported …

Emergence Of Purely Elastoplastic Turbulence In Shear Flows, Muhammad Abdullah, Shravan Pradeep, Doug J. Jerolmack, Becca Thomases, Paulo E. Arratia

Mathematics Sciences: Faculty Publications

Yield-stress fluids only flow above a critical stress. Here, we observe the emergence of a distinct, elasticity-driven flow state in a yield-stress fluid in the absence of inertia. Numerical simulations show that this elastoplastic turbulent state is characterized by non-Gaussian bimodal velocity distribution and a broad spectrum of velocity and stress fluctuations. Results show a nonmonotonic relationship between the volume fraction of the unyielded flow and plasticity. Surprisingly, the system can fluidize near the emergence of the elastoplastic turbulent state. Our results reveal the complex interplay between elasticity and plasticity in simple shear flows, indicating that plasticity can mobilize the …

Decision Support System For The Selection Of Thumbprint Recognition Algorithms In Biometric Security Systems, Toqeer Jameel, Muhammad Riaz

Neutrosophic Systems with Applications

This study investigates fingerprint recognition in immigration operations, emphasizing the role of biometric verification in enhancing security, fairness, and operational efficiency in international mobility. To address the uncertainty, vagueness, and imprecision inherent in fingerprint identification, a novel decision-making framework is proposed by integrating interval-valued picture fuzzy (IVPF) information. Fairly aggregation operators are introduced to combine decision makers' evaluations, while extracted fingerprint features are modeled using positive, neutral, and negative membership degrees within the IVPF environment. Objective criterion weights are determined using the criteria importance through intercriteria correlation (CRITIC) method, and individual ranking is performed via the alternative ranking order method …

A Data-Driven Neutrosophic Multi-Criteria Intelligent System For Functional Disability Severity Assessment, Ehab Abdel Aziz Al-Beblawi, Mirna Samy, Abduallah Gamal

Neutrosophic Systems with Applications

Functional disability assessment is a multidimensional problem because individuals may experience different levels of difficulty across daily activities such as walking, standing, dressing, eating, grasping objects, and social participation. This paper proposes NIFDA, a data-driven neutrosophic multi-criteria intelligent system for functional disability severity assessment. The proposed framework represents each functional response through three components: confirmed limitation, indeterminacy, and preserved functional ability. This allows the model to handle valid responses, uncertain information, and missing or non-informative data without forcing them into a single crisp score. To reduce dependence on subjective expert weighting, NIFDA derives criterion weights objectively using a hybrid CRITIC–MEREC …

Haruskan Debitur Mengatakan "Ya"? Menyoal Persetujuan Debitur Dalam Pengalihan Piutang Oleh Bank, Ihsanuddin Nursyie

Jurnal Hukum & Pembangunan

Financial Services Authority Regulation No. 26 of 2024 concerning the Expansion of Banking Business Activities requires the inclusion of an assignment of receivables clause in credit agreements and, where such a clause is not provided, requires the debtor’s consent before the assignment is carried out. This article analyzes the appropriateness of debtor consent as a protection instrument in the assignment of receivables through cessie. This research employs a doctrinal legal method by analyzing legislation, legal doctrines, and relevant literature. The findings indicate that debtor consent is not an inherent requirement of cessie, while the risks to debtor protection are more …

Gagasan Kode Etik Untuk Mantan Hakim Konstitusi: Perbandingan Dengan Federal Constitutional Court Jerman, Ryan Muthiara Wasti, Fitra Arsil, Aidul Fitriciada Azhari, Fatmawati Fatmawati

Jurnal Hukum & Pembangunan

One aspect of evaluating the Constitutional Court, which has been in existence since 2003, is the issue of ethical compliance. Although a code of ethics for constitutional judges currently exists, it applies only to sitting constitutional judges. In reality, however, many former constitutional judges frequently act as parties in cases heard by the Constitutional Court. The author found that there are still former Constitutional Court judges who have served as parties—either as principals or as legal representatives. Although there is no explicit prohibition, the involvement of former constitutional judges in case proceedings raises the potential for conflicts of interest and …

Chapter 3: Blockade, Prize, And Targeting: The Revival Of Economic Warfare In Operation Epic Fury, James Kraska

International Law Studies

No abstract provided.

Thermal Displacement Quantification And Dynamic Disparity Compensation For Automotive Stereo Cameras, Bisheng Wang, Xiyuan Hu, Ran Meng, An Jiang

Journal of System Simulation

Abstract: This paper presents a full-field thermal displacement inversion and dynamic disparity compensation method to address the disparity drift issue in mass-produced automotive-grade stereo cameras induced by thermal expansion and rigid-body displacement of image sensors under wide-temperature-range operating conditions. The proposed method leverages a high-precision static speckle pattern and digital image correlation (DIC) technique to achieve quantitative characterization of the nonuniform horizontal thermal deformation fields of the left and right image sensors. On this basis, a dynamic disparity compensation model is established, integrating a temperature-dependent quadratic polynomial translation term and a radial thermal expansion correction term. Experiments were conducted by …

Vehicle Cross-Modal Trajectory Prediction Model Based On Driving Style Hypergraphs, Guozhu Cheng, Changyuan Wang, Wenzhi Wang, Yifan Zhang, Tianjun Feng

Journal of System Simulation

Abstract: To address the shortcomings of existing motorway vehicle trajectory prediction methods which overlook differences in driving styles and the future interactions between trajectories of different modes. This paper proposes a cross-modal trajectory prediction model based on a dual-hypergraph Transformer for driving styles. The method first quantifies driving styles by extracting vehicle kinematic features and calculates a similarity matrix between vehicles; it then constructs a dual-hypergraph Transformer, using a homogeneous hypergraph to model the group interactions of vehicles with similar driving styles, and a heterogeneous hypergraph to capture the interaction relationships between spatially neighbouring but stylistically dissimilar vehicles; Finally, a …

Long-Tail Object Detection Method In Transportation Scene Images Based On Improved Rt-Detr, Mingjun Deng, Peihua Nie, Junhua Guo, Ningbo Gao

Journal of System Simulation

Abstract: Detecting rare objects in transportation environments is crucial for the safety and reliability of autonomous driving systems. To address the challenges of limited detection capability on rare objects that appear only a few times during training, we propose an improved long-tailed object detection method for traffic scene images named TF-DETR (tail free DETR) based on RT-DETR model. First, the lightweight CSP-EDA (CSP-efficient depthwise aggregation) was constructed to reconstruct the backbone network. Its core unit, the efficient depthwise aggregation, integrated the pooled-transpose attention and convolutional gated linear unit to enhance feature representations for tail-class samples. Second, the spatially-adaptive dynamic cognitive …

Vehicle Sar Image Simulation: Progress, Application And Challenge, Shengjie Luo, Zhigang Liu, Xihai Li, Yiting Wang, Xiaoniu Zeng, Xiaofeng Tan, Hongru Li, Tianyou Liu, Yun Zhang

Journal of System Simulation

Abstract: SAR image simulation technology can efficiently generate large-scale annotated data by flexibly configuring system parameters and scene conditions, breaking through the inherent limitations of high cost and long acquisition cycles associated with real SAR images, and effectively mitigating the problem of data scarcity. To elaborate on the overall research status of vehicle SAR image simulation, a classification framework for simulation methods is first established based on technical principles and methodological approaches. Subsequently, a comprehensive review of research progress is provided, offering an in-depth analysis of the theoretical foundations, practical applications, and suitable scenarios of various methods. Finally, based on …

Act Action Chunk Adaptive Optimization Method For Chemistry-Oriented Robots, Tan Li, Congying Wu, Shenghua Li, Nanjiang Chen, Weining Song, Fangfang Gao, Qi Wang, Yanwen Lin, Runmin Yin

Journal of System Simulation

Abstract: Chemical R&D laboratories face persistent challenges such as long R&D cycles and high experimental repetitiveness. With the growing demand for automation and intelligence in laboratory processes, embodied intelligent robots capable of learning expert operational experience and executing tasks stably in complex environments have become a key direction for improving chemical R&D efficiency and reducing human error. Although the hardware and software for embodied intelligence are advancing rapidly, current research focuses primarily on general-purpose operations, with limited attention to the specific constraints of chemistry laboratory settings. Traditional ACT algorithms, which use fixed action chunk sizes, fail to meet the requirements …

High-Dimensional Multi-Objective Optimization Algorithm Based On Large Language Model Assistance, Yichao Ma, Jingxuan Wei

Journal of System Simulation

Abstract: The increase in the dimension of objective functions in optimization problems makes it challenging to balance convergence and diversity in population-based algorithms, which is a key factor leading to performance degradation of multi-objective evolutionary algorithms. To address this issue, a dynamic switching mechanism assisted by a large language model is proposed. By continuously evaluating the changes in hypervolume and convergence metrics of the solution set, the search process is adaptively divided into three phases: convergence-oriented, diversity-oriented, and large language model-suggested phases, achieving precise allocation of computational resources. Furthermore, to mitigate the high computational cost of large language models in …

Modeling, Dynamical Analysis, And Lmplementation Of Switched Memristive Neural Networks, Zhuang Qu, Shaohua Zhang, Cong Wang, Hongli Zhang, Xinkai Li, Ping Ma

Journal of System Simulation

Abstract: To simulate the dynamic functional switching of brain networks, a time-switched memristive Hopfield neural network (TSM-HNN) model is proposed. The model utilizes external time-sequential signals to control memristive synapses, allowing it to dynamically generate multi-scroll chaotic attractors of varying numbers and morphologies without altering the system's structure. This overcomes the limitation of traditional chaotic systems, which can typically only produce a single type of attractor. The model exhibits complex chaotic behavior, high sensitivity to initial conditions, and coexisting attractors. Its physical feasibility has been verified through PSPice circuit simulations. This enhanced complexity and randomness give the model significant potential …

Design And Research Of A Microfocus X-Ray Tube, Haodong Zhao, Shizong Wei, Daolong Yu, Zhixia Liu, Yuezhong Chen, Ji Xu

Journal of System Simulation

Abstract: With the rapid advancement of high-resolution imaging and Micro-nano detection technology, microfocus X-ray sources show great potential for applications in industrial non-destructive testing, biomedical imaging, and material microstructure analysis. Achieving a focal spot size below 10 μm is essential for enhancing spatial resolution. However, traditional X-ray tubes are constrained by heat source dimensions, electron beam divergence, and limited focusing capabilities, which makes it challenging to simultaneously achieve focal spot miniaturization and adequate radiation intensity. In this study, a hot cathode electron gun is modeled using CST particle studio. Simulations are conducted to analyze the influence of the first anode …

Research On Characteristics Of Inclined Jet Flow For Aircraft De-Icing Based On Multiphysics Coupling, Zhiwei Xing, Hongbin Zhang, Ke Sun, Wenliang Miao

Journal of System Simulation

Abstract: To address the complex multiphysics coupling and lack of theoretical guidance for spray parameters in aircraft ground de-icing, a simulation model based on the Phase-Field method and Realizable k-ε turbulence model is proposed to investigate inclined jet flow over airfoil surfaces. The model enables the numerical reconstruction of jet impingement, liquid film flow, and unsteady heat transfer processes, providing a framework to elucidate the regulatory mechanisms of jet angles on momentum distribution and thermal characteristics. The simulation results reveal distinct variations in the flow and heat-transfer characteristics at different jet inclination angles. At a jet angle of 15°, the …

Physics-Driven Efficient Simulation Platform For Warhead-Target Engagement And Damage Assessment, Yidan Cui, Jingyao Ke, Yufeng Zheng, Kun Xue

Journal of System Simulation

Abstract: To address the limitations of incomplete physical modeling, low computational efficiency, fragmented simulation workflows, and insufficient visual immersion in existing damage simulations of fragment warheads, this paper proposes and develops a physics-driven, high-efficiency visualization platform for warhead-target engagement and damage assessment. The platform implements a full-chain, closed-loop simulation framework covering scenario configuration, force-field computation, fragment dispersion, warhead-target intersection, and damage evaluation. A finite element-discrete element (JK2024-06) coupled dynamics framework is established, integrating a detonation model, shell expansion correction, and fragment velocity inheritance to accurately reproduce the complete dynamic process from detonation to dispersion. A three-level acceleration algorithm based on …