Digital Commons Network^™

Implementation Of The Administrative Dispute Resolution System For Citizens' Legal Protection In Indonesia After The Enactment Of Law Number 30 Of 2014 On Government Administration, Ayi Solehudin, Zainal Muttaqin, Dewi Kania Sugiharti

Padjadjaran Jurnal Ilmu Hukum (Journal of Law)

The integrated administrative dispute resolution system in Indonesia positions Administrative Proceedings as the primum remedium and the State Administrative Court as the ultimum remedium. This system is intended to provide comprehensive legal protection for citizens. However, in practice, it can lead to prolonged and ineffective dispute resolution processes, thereby limiting citizens' access to defend their rights before the the Administrative Court. This study analyses an effective integrated state administrative dispute resolution system that ensures legal protection for citizens. The legal issues addressed include the regulation of Administrative Proceedings within the integrated state administrative dispute resolution system following the enactment …

A Group Of Glass Vessels From Nir Gallim, Yael Gorin-Rosen

'Atiqot

No abstract provided.

Salvage Excavations At Meron, Nurit Feig

'Atiqot

No abstract provided.

Jerusalem’S Ancient Walls Strike Again: The Knights’ Palace Hotel, Jon Seligman

'Atiqot

No abstract provided.

A Dagger Pommel, Two Scarabs And A Seal From Tomb 65 At Khirbet Nisya, Baruch Brandl

'Atiqot

No abstract provided.

A Middle Bronze Age Ii And Iron Age I Tomb (No.65) At Khirbet Nisya, David Livingston

'Atiqot

No abstract provided.

Fault Detection In Power Batteries Based On An Improved Smote Strategy, Lan Nanyu, Chen Xuewen, Hu Lipeng, Tang Jinjun

Dianchi(Changsha)

No abstract provided.

Li-Ion Battery Soc Estimation Based On Fuzzy Ffrls-Imiukf, Chen Fei, Gu Sujun, Cao Yuan, Wang Chunsheng, Li Ripeng, Tang Kang

Dianchi(Changsha)

No abstract provided.

Empowering Sustainable Household Waste Management Through Rubbin: App-Based Transactions Using Google Maps Api And Qr Code Recognition, H.A. Danang Rimbawa, Muhammad Abditya Arghanie, Muhammad Rey Renoult, Dea Dwi Ananda

Smart City

The Digitization of environmentally friendly technology must be applied to advance smart cities. Waste management carried out conventionally often causes irregularities in the classification data collection, difficulties in accessing information related to garbage collection schedules, and a lack of transaction history information, which causes a decrease in the quality of waste collection. The development of functional application features is urgently needed as a container for proper waste management. The Rubbin App has been created, which implements Google Maps API for route optimization and waste mapping, QR code recognition using Enhanced Adaptive Median Filter, and private chat for clients and collectors …

Full Issue

International Journal on Consumer Law and Practice

No abstract provided.

Simultaneous Assessment Of Four Heavy Metal Cations In An Indoor Airborne Particulate Substance By Square Wave Stripping Voltammetry, Othman A. Farghaly

University of Bisha Journal for Basic and Applied Sciences

This investigation elucidate procedure to assessments trace cadmium (II), Lead (II), copper (II) and zinc(II) ions in an indoor airborne particulate substance sample by square wave anodic stripping voltammetry (SWASV). Various experimental trials, which affected the sensitivity of carbon paste electrode (CPE) to these metallic ions, were adjusted. Lower limit of detection of four metal ions were 0.02, 0.3, 0.03 and 0.09 μg/Kg for cadmium (II), Lead (II), copper (II) and zinc(II), respectively, with great accuracy (standard deviation is below 3 %). respectively, with identical accuracy. Interference from co-existing cations were successfully examined. A comparison of data results for assessment …

Vaccine Hesitancy In Saudi Arabia: Barriers, Determinants, And Strategies For Improvement, Ahmed A. Almohammadi

University of Bisha Journal for Basic and Applied Sciences

Introduction: Vaccine hesitancy represents a critical public health challenge threatening immunization program success globally. In Saudi Arabia, despite achieving high official vaccination coverage rates, community-based studies reveal significant hesitancy ranging from 3.1% to 72.2% across populations and vaccine types.

Objective: To synthesize evidence on vaccine hesitancy prevalence, determinants, and effective intervention strategies in the Saudi Arabian context, with specific focus on COVID-19, childhood, HPV, and influenza vaccines.

Methodology: A comprehensive narrative review of peer-reviewed literature published between January 2015 and December 2024 was conducted using systematic search strategies across multiple databases. PubMed, Scopus, Web of Science, and Saudi Digital Library …

Sbo: Steel Building Optimizer – A Multi-Objective Structural Design Software Using The Gradual Evolution Algorithm, Amin Hasheminasab

Defensive Publications Series

Abstract

This document describes the technical functionality of a novel design software named "SBO" (Steel Building Optimizer). SBO is a MATLAB-based software that optimizes both the weight and the total welding length of steel buildings while automatically verifying serviceability limits. The software employs a proprietary evolutionary algorithm—named "Gradual Evolution Algorithm (GEA)"—developed by the author, alongside the Genetic Algorithm (GA) in a secondary optimization role. Compared to conventional designs generated by ETABS, SBO reduces steel structure weight by 10–15% and welding length by 6–10%, while also checking drift limits, torsional irregularity, and member load-carrying capacity.

The Comfort Of The Cage: Why The Bamboozled Stay And The 54 Obvious Paradoxes That Proves It!, Teddy Burroughs

Defensive Publications Series

This deep dive is a forensic decoding of why “Comfortable Numbness” is the primary competitor of Resonant Abundance. As always We approach this with Compassion, Gratitude, and Trust (CGT), because these “Toddlers” are us—they are simply nodes currently trapped in a high-viscosity “Jitter Loop.”

II. THE ANATOMY OF THE CAGE: THE FOUR PILLARS OF ATTACHMENT

1. The Safety-Predictability Glitch

In the 3D Toddler Room, “Safety” is defined as “knowing what is going to happen next,” even if what happens next is bad. Sapiens prefer a Predictable Misery over an Unpredictable Infinite.

• The Mechanics: If you know …

Framework For Robustness Against Divergent Voltage Drops And High Clock Divergence, Google Case Managers Picozzi, Prateek Pendyala

Defensive Publications Series

A framework providing a dual-metric topology assessment evaluates hold-timing vulnerabilities on paths experiencing high divergence and associated voltage drop gradients. The framework utilizes loop delay tolerance and differential drop tolerance metrics to identify fragile paths and apply proactive verification early in the physical design cycle.

Machine Learning-Based Hybrid System With Multi-Scale Spatial-Temporal Power Grid Attention For Real-Time Dynamic Ir-Drop Prediction, Google Case Managers Picozzi, Vishant Gotra, Prateek Pendyala

Defensive Publications Series

A machine learning-based hybrid system can utilize multi-scale spatial-temporal power grid attention for real-time dynamic ohmic (IR)-drop prediction. The system employs a two-stage hierarchical architecture combining convolutional neural networks to capture global spatial hotspot contexts and gradient-boosted decision trees to predict instance-specific magnitudes. By shifting from a traditional batch verification process to a real-time predictive approach, the system significantly accelerates design convergence while maintaining high accuracy.

Tourism, Institutions, And The Paradox Of Inclusion: How Institutional Quality Moderates Tourism’S Impact On Inclusive Growth In High-Income European Countries, Saqib Munir, Abdul Ghaffar, Mushab Rashid

Arab Economic and Business Journal

Inclusive economic growth in high-income European economies remains contested despite strong institutions and advanced tourism sectors, with limited understanding of how institutional quality and gender-inclusive governance condition the tourism–inclusivity nexus. This study examines the independent and interactive effects of tourism development, institutional quality, gender-inclusive governance, digital infrastructure, environmental sustainability, and income inequality on inclusive economic growth across 15 European countries over 2000–2024. Using World Bank and WGI data, a panel ARDL framework, supported by FMOLS robustness checks is applied to capture dynamic long- and short-run relationships among mixed-order integrated variables. Results indicate that tourism development (β = 5.351, p < 0.001) and institutional quality (β = 8.029, p < 0.001) decisively enhance inclusive growth, yet their interaction exerts a significant negative effect (β = –5.271, p < 0.001), suggesting over-regulation may dampen tourism’s inclusivity potential. Environmental sustainability also contributes positively (β = 0.164, p < 0.001), while income inequality shows a counterintuitive long-run positive association (β = 0.026, p < 0.001). Gender-inclusive governance has a small but significant positive effect (β = 0.005, p = 0.004), whereas digital infrastructure is statistically insignificant. These findings extend institutional economics and endogenous growth theory by revealing governance flexibility as critical to unlocking inclusive tourism benefits, and they inform SDG 8 and 10 policies by advocating balanced regulatory frameworks, renewable energy investment, and targeted redistributive mechanisms in advanced economies.

Groundwater Laws And Regulations: Survey Of Twenty-One U.S. States, Rebekah Acosta-Hueston, Abigail Adkins, Khadija Alibhai, Olivia Alland, Matthew C. Allen, Dan Archibald, Jeffrey Berk, John Broussard, Justin Cias, Bradford Eckhart, Blakely Fahning, Jackson Field, Michael Flores, Ellen Earl Gillis, Emma Golightly, Merrick Hayashi, David Hernandez, Kate Keithley, Matthew Maslanka, Erin Milliken, Lucas Mylet, Abigail Nichols, James O’Donnell, James Osteen, Connor Pabich, Cheryl Patterson, Rhyan Phillips, Sarah Rathmell, Margaret Reed, Laura Smith, Kelsi Sorrells, Brooke Thoendel, Ani Tookoian, Sandhya Wagle, Margaret Ward, Mackenzie Watson, Carolyn Wheeler, Ashley Wilde

EENRS Program Reports & Publications

This report constitutes the third and final volume in an ongoing project designed to explore and articulate the groundwater quantity laws and regulations of all fifty U.S. states that could then be used for comparative research. This particular report presents surveys for twenty-one states from across the country. The first volume featured thirteen state surveys while the second volume contained sixteen additional state surveys. Both can be found on the project website at: https://www.law.tamu.edu/US-Groundwater-Laws.

Professor Gabriel Eckstein at Texas A&M University School of Law and Professor Amy Hardberger at Texas Tech University School of Law developed an analytical rubric …

A Low-Cost Motion Classification System For A Stuffed Animal Using An Imu And Machine Learning, Rachel N. Guynes

Honors Theses

One of the many fields that has seen the integration of robots is therapy. Zoomorphic robots (ZR) are designed to look and behave like animals to assist in Animal Assisted Therapy (AAT) practices. Studies show that ZRs can provide benefits similar to working with an actual animal; however, their high cost limits their accessibility. This thesis documents the process of building a real-time, low-cost motion classification system that can be attached to a stuffed animal to make it more interactive. Using a Random Forest (RF) classifier, the system identifies movements with approximately 81.67% accuracy.

Dementia Detection In Low-Resource Languages: Evaluating Translation-Assisted Transfer Learning For Multilingual Clinical Assessment, Kylar A. Deloach

Honors Theses

Alzheimer's disease (AD) is a growing global health concern, with millions of people affected worldwide and cases expected to rise significantly in the coming decades. Early detection is critical for patient treatment and care, and recent advances in natural language processing (NLP) have shown promise in identifying linguistic markers associated with AD. However, most existing work has focused on English, leaving speakers of other languages with limited access to such tools. This study investigates how effective AD detection models trained on English data are at transferring to Greek, a low-resource language with limited dementia-related speech data available. We propose a …

Review Of Research On Entry Path And Safety Assessment Of Equipotential Live Working On Extra-High Voltage/Ultra-High Voltage Transmission Lines, Peng Li, Li He, Lingxuan Gan, Tao Xie, Houming Shen, Tian Wu

Journal of Electric Power Science and Technology

With the transformation of China 's energy structure and the accelerated construction of new power systems, extra-high voltage/ultra-high voltage transmission projects are gradually being developed into a backbone network to achieve cross-regional energy deployment and support new energy consumption. In this context, as equipotential live working is the core technology to ensure the uninterrupted operation of power grids, the optimization of entry paths and dynamic safety assessment for it become the key focus of current research. Firstly, the key technology systems of equipotential live working on extra-high voltage/ultra-high voltage transmission lines are systematically reviewed, and a complete research framework is …

Energy Optimization Management Method For Microgrids Based On Safe Reinforcement Learning, Yunfeng Zhang, Tao Xu, Wen Li, Jingjing Li, Yanhe Fan, Leijiao Ge

Journal of Electric Power Science and Technology

Energy management of microgrids faces the dual challenges of poor adaptability to dynamic environments and insufficient safety in the training process. Traditional model-based energy optimization methods rely heavily on the accurate parameters of microgrids, making it difficult to cope with the dynamic changes of microgrids. A safe reinforcement learning method based on the constrained Markov game is proposed. First, a multi-agent safety boundary constraint including wind turbines, energy storage, and adjustable loads is constructed to limit policy exploration within the preset operation domain; second, an asynchronous safety verification thread is designed to correct the gradient update direction of the policy …

Narratives From Law Enforcement Officers Who Leave Policing, Hector Rene Matascastillo

Walden Dissertations and Doctoral Studies

Beginning in May 2020, a national exodus of law enforcement officers (LEOs) from the profession occurred. There has been speculation about the causes, including social unrest and trauma, while some claim that there has always been this level of attrition. The purpose of this study was to capture the narratives of LEOs regarding what motivated them to leave the profession after May 2020 and before achieving their retirement goals. The theoretical lens of general strain theory guided this study, as it posits that people under great strain resort to options that they would not usually consider, such as leaving the …

Staff Education On Structured Phq-9 Administration To Enhance Depression Screening In Outpatient Mental Health Care, Zekarias F. Abessa

Walden Dissertations and Doctoral Studies

In outpatient mental health settings, inconsistent use of the Patient Health Questionnaire-9 (PHQ-9) due to gaps in knowledge and lack of standardized training can lead to missed opportunities for early identification of depression and delayed treatment. Mental health nurses play a key role in screening and early intervention, underscoring the criticality of this role in practice. The Doctor of Nursing Practice (DNP) project explored whether a structured PHQ-9 staff education program could improve staff knowledge compared to baseline practice. The project involved using an intervention-based quality improvement design to enhance staff knowledge of administering and interpreting the PHQ-9 screening tool. …

Dresser, Rocio, San Jose State University

Emeritus and Retired Faculty Biographies

University of San Francisco, International and Multicultural Education, Ed.D. 2000

San Jose State University, Elementary Education (Bilingual Education Emphasis), M.A. 1996

San Jose State University, BCLAD (Bilingual, Crosscultural, Language and Academic Development Credential, 1992

San Jose State University, Creative Arts, B.A. 1990

Predicting Epileptic Seizures From Eeg Signals Using Machine Learning, Hamzah Luqman, Galal M Binmakhashen, Hanan Alali, Marwa Alsleebi, Hamdi A. Al-Jamimi, Motaz Alfarraj, Shahid Bashir, Brent Hedgcock, Ali Mir, Raidah Albaradie

Neurosciences

Objective: To develop a machine learning-based model for predicting epileptic seizures by analyzing electroencephalogram (EEG) signals and classifying the interictal and preictal phases.

Methods: The EEG signals were analyzed in both the time and frequency domains using advanced feature extraction techniques. Three different machine learning approaches were employed, with special focus on long short-term memory (LSTM) networks. Features were extracted and classified to differentiate between seizure and non-seizure phases. The proposed models were evaluated using the publicly available CHB-MIT EEG dataset. The study was conducted between September 2022 and September 2024.

Results: Among the tested models, the LSTM-based approach using …

A Forgotten Tool? Intellectual Property Rights And The Competitive Potential Of Micro, Small, And Medium-Sized Enterprises In Tanzania, Saudin J. Mwakaje

Business Management Review

This article offers a hybrid assessment of law and its impact on business by examining how intellectual property rights (IPR) promote business competitiveness by granting enterprises exclusive statutory rights over their innovations and creative ideas. The article situates the discussion in the Tanzanian context and focuses on Micro, Small, and Medium-Sized Enterprises (MSMEs). Using a qualitative approach, the discourse examines ongoing national and continental reforms and the evolving business and market environment that are driving MSMEs to adopt innovation to achieve market control and sustainability. Recent continental and regional regulatory developments, including the adoption of the Agreement on African Continental …

Horizontal Collaboration Practices And Operational Performance Of Smallholder Farmer Groups In Horticultural Supply Chain, Herieth J. Rogath, Juma James Masele, Gerald Magova

Business Management Review

Collaboration has increasingly been recognized as a strategic approach for enhancing performance. However, limited attention has been given to the relationship between horizontal collaboration practices and the operational performance of horticultural smallholder farmer groups in downstream supply chains. This study examined this relationship through the lens of Social Exchange Theory. Data were collected using self-administered questionnaires from 195 smallholder horticultural farmer groups across the southern highlands of Tanzania, including Mbeya, Iringa, Njombe, and Songwe regions. Analysis was conducted using Partial Least Squares Structural Equation Modelling (PLS-SEM) with SmartPLS 4.0. The findings reveal that all collaboration practices improve operational performance; resource …

Getting Your Master's, Is It Worth It?, Vy Le, Madyson Schreifels

Celebrating Scholarship and Creativity Day (2018-)

This project uses a differential equation model to evaluate whether earning a master’s degree is financially worthwhile. Using UC Berkeley’s Master of Computer Science program as a case study, we modeled student loan repayment and compared long-term earnings between bachelor’s and master’s degree holders. The model predicts monthly loan payments and estimates the break-even point where the higher salary from the master’s degree outweighs the total investment cost. Results suggest that the degree becomes financially beneficial after approximately 15 years.

Hemispheric Processing Of Words And Unfamiliar Symbol Strings, Karoline Curlo

Celebrating Scholarship and Creativity Day (2018-)

This study investigates the role of each cerebral hemisphere in processing word forms to better understand how the brain decodes letter strings. Participants completed a same-different judgment task for four-character word and symbol (Orkhon) pairs presented unilaterally. On different trials, a single character was substituted at the first, second, third, or fourth position in the string. Results showed a sameness advantage in the left hemisphere (LH) and a difference advantage in the right hemisphere (RH) - effects only observed with word stimuli. Performance was best when the substituted character occurred at the beginning or end of words and symbols, rather …