Digital Commons Network^™

Technology Competition Risk Situation And Response Strategies In China’S Energy Sector Under Great Power Competition, Yong Shi, Shanghua Li, Fei Wu, Kun Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the advancement of the global energy transition and the intensification of global geopolitical uncertainties, technological competition in the energy sector has become a key area in the great power competition. This study constructs a logical framework for energy technology competition and reveals the new trends in current technological competition in the energy sector. On this basis, this study systematically analyzes the three main types of risks that China faces in energy technology competition and further proposes corresponding countermeasures. China must continuously enhance the core competitiveness and institutional voice over energy technology to achieve the strategic goals of energy security …

Research On Energy Security Governance And Preventive Measures In China Under Century Long Changes, Qiang Ji, Ying Fan, Yu Song

Bulletin of Chinese Academy of Sciences (Chinese Version)

Against the backdrop of unprecedented changes in a century, multidimensional internal and external risks are intertwined and stacked, and energy security is constantly developing towards diversification, integration, and globalization. Balancing energy security and climate governance under the “dual carbon” goal is bound to encounter many major challenges, and climate issues have become an important part of the energy security concept that cannot be ignored. This study comprehensively analyzes the internal and external multidimensional risks faced by China’s energy security, and elaborates on the new energy security governance system of “one body, two wings, three ends, and four characteristics” from the …

Strategies For Enhancing China’S Energy Resilience: Trade-Offs Between Diversification And Localization, Zhongwei Song, Yu Zhao, Xiang Gao, Jiaofeng Pan

Bulletin of Chinese Academy of Sciences (Chinese Version)

In recent years, intensified geopolitical conflicts worldwide have increasingly exposed the vulnerabilities of traditional energy security frameworks, necessitating a shift in perspective from “ensuring stable supply” to “building systemic resilience”. This study explores pathways to enhance China’s energy resilience, analyzes how diversification and localization strategies can strengthen national energy security, and reviews related policy practices. Building on this analysis and considering China’s current energy landscape, the study proposes that in the short term, emphasis should be placed on diversifying import sources and routes while strengthening domestic supply assurance. In the medium to long term, it is essential to accelerate the …

Frontiers In Ocean Non-Equilibrium Dynamics And Challenges In Operational Oceanography Application, Yuhong Zhang, Yan Du, Tianyu Wang, Minyang Wang, Qin Duan, Xinlong Li, Yuhang Zheng, Yifan Xia, Shilin Tang, Yineng Li, Jianping Yin

Bulletin of Chinese Academy of Sciences (Chinese Version)

Ocean circulation exhibits complex multiscale dynamics, among which non-equilibrium processes, marked by transient behavior, strong perturbations, and pronounced nonlinearity, are of particular importance for maritime environmental support. However, limited observational capability has long constrained the study of subsurface non-equilibrium dynamics, leaving numerical models insufficiently validated and positioning this issue at the forefront of modern physical oceanography. Artificial intelligence (AI) offers a promising pathway to overcome this bottleneck. Built on this concept, the “iEddy” AI large ocean model can efficiently reconstruct high-resolution, high-accuracy three-dimensional temperature, salinity, and velocity from sea-surface remote sensing data, demonstrating strong capability in capturing non-equilibrium ocean currents …

Current Status And Prospects Of Ocean Data Reanalysis, Chuanyu Liu, Fan Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Ocean data reanalysis (ODR) is a technique that combines ocean observational data with ocean circulation models to produce gridded data with higher accuracy and greater spatiotemporal coverage. The generated reanalysis data serve as a foundational dataset for conducting oceanographic research and developing artificial intelligence-based large ocean models. This study reviews the technical approaches of ODR, the current status of global and regional ocean data reanalysis systems developed in the world, and puts forward recommendations for the development of China's ocean reanalysis system.

Transparent West-Pacific: Frontier Advances In Earth System Science, Lixin Wu, Jiwei Tian, Weidong Sun, Hailong Liu, Tianyu Chen, Zhimian Cao, Zhao Jing

Bulletin of Chinese Academy of Sciences (Chinese Version)

The West-Pacific hosts a well-developed trench-arc-basin system characterized by intense fluid–solid interactions, making it an ideal region for studying multi-sphere interactions within the Earth system. Research on cross-sphere dynamic processes and material-energy cycles in the West-Pacific not only represents a core frontier in Earth System Science, but also crucial to addressing major strategic needs, such as global climate change response, sustainable use of marine resources, and protection of the deep-sea environment. This article highlights key advances achieved under the Major Program on West-Pacific Earth System Multispheric Interactions (WESPMI), in areas including multi-scale oceanic interactions, cross-sphere material exchange, plate subduction and …

Significance, Challenges, And Policy Recommendations For Strengthening Database Development To Support Ai For Science In China, Kaihua Chen, Hongxin Liu, Rui Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the rapid emergence of research intelligence driven by big data and artificial intelligence (AI), high-quality, openly shared scientific databases have become a strategic focal point for scientific innovation and enhancing technological competitiveness. Major countries around the world are increasingly recognizing the foundational role of scientific databases in advancing basic research. While continuously strengthening their own scientific data infrastructure through a series of initiatives, they have simultaneously imposed restrictions and suppression on the development of AI technologies in China, including those involving research data. Against this backdrop, building an autonomous and controllable scientific data ecosystem to support research intelligence is …

Systemic Risks Analysis In International Crude Oil Market: Evidence And Countermeasures, Han Zhang, Yuejun Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Crude oil, often referred to as the “lifeblood” of the modern economy, plays a pivotal role in global economic stability and energy security. However, with the recurrence of crises in recent years, such as the the Russia-Ukraine conflict, escalating tensions in the Middle East, and intensifying trade frictions, the international crude oil market has been facing complex systemic risks, which are accelerated by persistent geopolitical conflicts, fragile supply-demand structures, and the intertwining of macroeconomic and financial uncertainties and so on. For China, with crude oil import dependence remaining above 70% for a prolonged period, economic and social development faces the …

Level Measurement, Problem Analysis, And Countermeasures Of “Four Chains” Integration Development In China, Changhong Nie, Yuxuan He, Chuan Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

romoting the deep integration of innovation chain, industrial chain, funding chain, and talent chain (Four Chains) is an important path to accelerate the formation of new quality productive forces. The evaluation of the integrated development of the “Four Chains” is helpful to comprehensively and objectively reveal the development status, providing decision-making reference for the strategic deployment of scientific and technological innovation and its supporting policies. Based on the meaning and function of “Four Chains”, this study constructs an evaluation indicator system. The study also reveals the development level, regional differences, and dynamic evolution rule of “Four Chains” integration in China. …

Research On China’S Economic Pulse Based On Etc Big Data: Operational Characteristics, Structural Challenges, And Paths To High-Quality Development, Junjie Hong, Geng Li, Jian Guo, Zhengjie Tian, Libin Hu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Big data from highway ETC systems, characterized by full-domain coverage, high-frequency real-time updates, and precise granularity, provides a unique micro-observational window for perceiving the pulse of China’s economic operation. Based on the daily traffic data of national ETC users from Shandong Hi-Speed Xilian Science and Technology Co., Ltd. spanning the period 2023–2025, this study constructs a “China Economic Pulse Index” encompassing five core indicators: daily traffic volume, truck traffic volume, average truck load, inter-regional flow ratio, and travel efficiency. It systematically analyzes the economic operation logic reflected behind ETC big data. Research findings indicate that ETC data clearly reveals China’s …

Satellite-Derived Bathymetry In Island Coastal Zones: Technology, Shilin Tang, Yuye Huang, Yongming Liu, Jianping Yin, Deke Chen, Ronggang Huang, Shuang Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

Shallow bathymetry data constitute the core foundational information underpinning the ecological, resource, and strategic values of island and coastal zones. Satellite-derived bathymetry has evolved into a key technical means for large-scale acquisition of shallow bathymetry information. Focusing on satellite-based lidar bathymetry, optical imaging bathymetry, and synthetic aperture radar (SAR) bathymetry, this study systematically summarizes the core principles, applicable scenarios, technical strengths, and inherent limitations of each technology. It is shown that satellite-derived bathymetry has undergone an evolutionary shift from theoretical construction to practical application, and from single-method, single-data-source approaches to multi-technology, multi-source data fusion frameworks. In the future, to meet …

Rare Infection With Precise Detection: Abiotrophia Defectiva Septic Arthritis Following Anterior Cruciate Ligament Reconstruction, Ahmed Al Mamari, Shouq Al Hudar, Maya Al Salti

Sultan Qaboos University Medical Journal

Abiotrophia defectiva, a nutritionally variant streptococcus, is an uncommon yet significant pathogen primarily associated with infective endocarditis and, more rarely, septic arthritis. We report a 23-year-old male patient who presented to a tertiary care centre in Rustaq, Oman, in 2024 with right knee pain and fever following an anterior cruciate ligament reconstruction. Standard cultures remained negative, but enrichment broth and matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry enabled prompt identification of A. defectiva. Subsequently, the patient was diagnosed with native knee septic arthritis due to A. defective. Following surgical debridement, the patient completed a 4-week course of targeted antibiotic therapy, …

Archeota, Fall/Winter 2025, Audie Robinson, Vanessa Sztym, Emily Stockton, Heather Arnold, Niamh Tangney, Gianna Elena Brassil

Archeota

Archeota is a platform for SJSU iSchool students to contribute to the archival conversation. It is written BY students, FOR students. It provides substantive content on archival concerns and issues and promotes professional development in the field of archival studies. Archeota upholds the core values of the archival profession. Contents: Unrecorded Legacies: Why Masonic Archives Matter by Audie Robinson, Book Review: Decolonial Archival Futures by Vanessa Sztym, Passports to the Past: Following the Trail of Sacramento’s Archives Crawl by Emily Stockton, Volunteering at the Jack Mason Museum of West Marin History: Beginnings and Belonging by Heather Arnold, Images From The …

B Lymphocytes Impede Tregs To Erode Islet Tolerance In Type 1 Diabetes, Christopher S Wilson, Blair T Stocks, Alexander C Falk, Daniel J Moore

Faculty, Staff and Students Publications

B lymphocytes are thought to drive β-cell destruction in type 1 diabetes (T1D) by activating anti-islet T cells. However, the observation that autoreactive T-cell activation and disease progression can occur without B cells challenges this view. Still, preclinical and clinical studies have shown that B-cell depletion alleviates β-cell destruction, suggesting a critical role for B cells in T1D. Our findings propose an alternative function for B cells, impairing regulatory T cells (Tregs) that would otherwise protect islets. In the NOD islet transplant model, we show that B-cell absence enables transplant tolerance, allowing Tregs to become responsive to immune therapy and …

Pseudoamniotic Band Sequence Risk Factors Following Fetoscopic Laser For Twin-Twin Transfusion Syndrome, Felicia V Lemoine, Sami Backley, Gustavo Vilchez-Lagos, Jimmy Espinoza, Edgar Hernandez-Andrade, Anthony Johnson, Ramesha Papanna, Eric Bergh

Faculty, Staff and Student Publications

Introduction: Pseudoamniotic band sequence (PABS) is a rare but serious complication following fetoscopic laser photocoagulation (FLP) for twin-twin transfusion syndrome (TTTS). We aim to explore associations between perioperative factors and PABS in monochorionic, diamniotic twins undergoing FLP for TTTS.

Methods: A secondary analysis was conducted using a prospective cohort of 816 FLP procedures performed between 2011 and 2024 at a single fetal therapy center. All cases had confirmed absence of PABS prior to FLP via ultrasound and fetoscopic evaluation. PABS was diagnosed postnatally or suspected after FLP and confirmed after birth. Clinical and perioperative variables were compared between cases with …

Identifying And Overcoming Some Operational Limitations Of Reconfigurable Intelligent Surfaces In 5g And Beyond Wireless Networks, Souvik Deb

Doctoral Theses

Reconfigurable intelligent surfaces (RIS) can dynamically reshape the propagation environment to enhance signal strength, spectral efficiency and reliability in 5th generation (5G) cellular as well as device to device (D2D) communications. However, to reap such benefits, a range of practical and operational challenges need to be addressed for effectively utilizing RIS in realistic urban environments. This includes maintaining line of sight (LoS) between the RIS and the communicating devices for reliable signal reflection in millimeter wave (mmWave) communication, reducing high channel estimation overhead for communication using multipath rich channels and preventing violation of strict latency constraints due to high complexity …

Unveiling The #T1d Community: Content Analysis Across Social Media Platforms, Dana Albright, Jessica C. Kichler, Kira Voelker, Andy Tannous, Jessica Pater

Health Services and Informatics Research

OBJECTIVE | While social media provides a crucial support system for individuals facing isolation, particularly those with uncommon conditions like type 1 diabetes (T1D), the specific characteristics of online engagement within this com munity remain largely unexplored. This research fills the gap by systematically categorizing the #T1D online ecosystem across three prominent social media platforms.

RESEARCH DESIGN AND METHODS | One month of data from Instagram, Reddit, and Twitter were collected using #T1D and #typeonediabetes as inclusion criteria. Posts were coded using a content analysis approach by three re searchers for the type of content, purpose, community building, personal reflection, …

Ndls Communicator: Week Of 01.20.26, Notre Dame Law School

NDLS Communicator

The Latest News

• Notre Dame Exoneration Justice Clinic Notches Third Victory in 15 Months
• Notre Dame Law Professors Share Expertise at 2026 Association of American Law Schools Annual Meeting

Student News

• J.S.D. candidate Juan Carlos Gazmuri

Faculty Briefs

• Christine Venter
• Paul Miller
• Patrick Corrigan
• Rick Garnett
• Diane Desierto
• Mary Ellen O'Connell
• Derek Muller

Events

• Faculty Colloquium - Randy Kozel
• Faculty and Staff Birthday Celebration
• Sadie Blanchard's Private Law Workshop

Around the Watercooler

• Justin Gonzalez joined the Law School as the new Associate Director of Operations and Finance
• Walk the Walk Week

Staff Spot Awards

• Accepting nominations

Iatrogenic Ptosis Mimicking Cranial Nerve Iii Palsy Following Cosmetic Botox Injection: A Case Report, Moath Alshanqity, Lujain Filimban, Sadaqah Wazzan

Saudi Toxicology Journal

We present a 40-year-old female who developed iatrogenic ptosis mimicking cranial nerve III palsy after undergoing a cosmetic treatment to treat periorbital hyperpigmentation. Within 48 hours of receiving what was believed to be tranexamic acid (TXA) injections, the patient developed isolated left ptosis and generalized headache. Stroke, cerebral venous thrombosis (CVT), subarachnoid hemorrhage (SAH), and cranial nerve injury were among the differential diagnoses upon presentation. No insult to the central nervous system was found during the initial workup, which included neuroimaging. Although TXA was initially suspected due to its prothrombotic potential and the patient’s history of pulmonary embolism, it has …

Cognitive Dysfunction In Women With The Fmr1 Premutation During Midlife: The Lassi-L Reveals Curvilinear Cgg-Dependent Risk Buffered By College Education, Jessica Klusek, Jillian Gierman, Amanda Fairchild, Andreana M. Benitez, Elizabeth Berry-Kravis, Marsha R. Mailick

Faculty Publications

Background

The FMR1premutation (FXPM) is a common genetic variant (∼1:151 females) linked to increased risk for neurodegenerative disease. Midlife cognitive phenotypes remain poorly defined.

Objective

To characterize episodic memory performance in midlife FXPM women and examine potential risk moderation via genetic (i.e., FMR1CGG repeat expansion size) and environmental (i.e., college degree attainment) influences.

Methods

Eighty-eight FXPM women and 84 matched controls, aged 30–55, completed the Loewenstein-Acevedo Scales for Semantic Interference and Learning (LASSI-L), a measure of specific episodic memory processes sensitive to subtle Alzheimer's disease (AD)-related cognitive and neuropathological changes.

Results

FXPM women demonstrated deficits in proactive semantic …

Simulated Complex Cells Contribute To Object Recognition Through Representational Untangling, Mitchell B Slapik, Harel Z Shouval

Faculty, Staff and Student Publications

The visual system performs a remarkable feat: it takes complex retinal activation patterns and decodes them for object recognition. This operation, termed "representational untangling," organizes neural representations by clustering similar objects together while separating different categories of objects. While representational untangling is usually associated with higher-order visual areas like the inferior temporal cortex, it remains unclear how the early visual system contributes to this process-whether through highly selective neurons or high-dimensional population codes. This article investigates how a computational model of early vision contributes to representational untangling. Using a computational visual hierarchy and two different data sets consisting of numerals …

Genomics Define Malignant Transformation In Myeloma Precursor Conditions, Francesco Maura, P Leif Bergsagel, Bachisio Ziccheddu, Shaji Kumar, Kylee Maclachlan, Andriy Derkach, Juan-Jose Garces, Ross Firestone, Esteban Braggio, Yan Asmann, Michael Durante, Benjamin T Diamond, Marios Papadimitriou, Malin Hultcrantz, Alessio Marella, Giancarlo Castellano, Akihiro Maeda, Marta Lionetti, Antonio Matera, Stefania Pioggia, Matteo Claudio Da Vià, Claudio De Magistris, Daniel Leongamornlert, Danny Deavila, Praneeth Reddy Sudalagunta, Rafael Renatino Canevarolo, Erin M Siegel, Phaedra Agius, Jamie Teer, Andrew Mcpherson, Yusuke Yamashita, Ariosto S Silva, Patrick Blaney, Rachid Baz, Krina K Patel, Peter Campbell, Gareth Morgan, Rafael Fonseca, Ola Landgren, Robert Z Orlowski, Kenneth H Shain, Niccolo Bolli, Saad Usmani, S Vincent Rajkumar

Faculty, Staff and Student Publications

Multiple myeloma (MM) is consistently preceded by monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM). While these precursor conditions are asymptomatic, they are not entirely benign and carry a lifelong risk of progression to MM. Unlike other cancers defined by pathology, malignant transformation from MGUS or SMM to MM has so far relied on demonstration of clinical end-organ damage as morphology and cytogenetics cannot reliably distinguish them. In this study, using genomic data from 374 patients with MGUS or SMM (277 training, 97 validation), to our knowledge, we demonstrate for the first time the ability to identify …

Coming Disruptions In Corporate Law, Douglas Sarro, Edward J. Waitzer

All Papers

Corporate law’s dynamism precludes bold predictions about its future. Instead, we set out to highlight principles relevant to its trajectory and frame looming, unresolved issues. In that vein, artificial intelligence and other digital technologies raise considerable new opportunities for directors to enhance their oversight and for shareholders to be better informed and make more meaningful use of their governance rights. At the same time, the potential for wide-scale automation of corporate activities via these technologies amplifies corporate power and resulting risks of harm, adding new urgency to past prescriptions for rethinking the relationship between corporate and other areas of law …

Improving Solo Vocal Singing Technique Skills Through The Direct Instruction Model: A Classroom Action Research With Grade Ix Students, Rasyid Ahmad Sofi, E.W. Suprihatin Dyah Pratamawati, Tutut Pristati

Journal of Innovation and Teacher Professionalism

Solo vocal singing skills are included in Core Competency (KD) 4.1 of the junior high school Cultural Arts curriculum, which emphasizes the development of rhythmic and melodic ornamentation in solo vocal performances. This competency is implemented through solo vocal singing practice using improvisation techniques. However, preliminary observations in Class IX B of SMP Negeri 2 Bendungan revealed low learning outcomes, with an average score of 53, below the minimum mastery criterion (KKM) of 70. These low results were primarily caused by students’ limited mastery of solo vocal singing techniques, particularly vocal improvisation, as well as the continued use of conventional …

Cost Control, Ict Application, And Effective Project Delivery In The Construction Of School Plant In Nigeria, Ekwueme Onyekachukwu Godspower, Chukwuebuka Martinjoe U-Dominic

Journal of Innovation and Teacher Professionalism

The construction of school plants in Nigeria is often constrained by budget discrepancies, weak cost management, and inefficiencies that hinder timely and sustainable project delivery. Cost control and the integration of Information and Communication Technology (ICT) have become essential strategies for addressing these challenges, promoting transparency, accountability, and optimal resource use. This study was conducted in Rivers State, Nigeria, with a target population of 133 staff members from selected construction companies. Using the Taro Yamane formula, a sample of 100 respondents was selected through stratified random sampling to ensure representativeness. Data were gathered through structured questionnaires, interviews, and secondary sources …

The Effectiveness Of The Zig-Zag Method In Improving Dribbling Skills In High School Soccer Lessons, Muhammad Rais Hamdan, Fahrial Amiq

Journal of Innovation and Teacher Professionalism

This study aims to enhance football dribbling skills among class XI students at SMAN 2 Malang through the implementation of the zig-zag method. The research adopts a Classroom Action Research (CAR) design conducted in two cycles, each comprising four stages: planning, implementation, observation, and reflection. Data were collected through observation sheets, dribbling performance tests, and documentation to measure both skill improvement and learning engagement. The findings reveal a notable improvement in students’ dribbling ability after the intro-duction of the zig-zag method. During the first cycle, students demonstrated pro-gress in technique and coordination, although learning mastery had not yet achieved the …

Evaluating The Impact Of Lo-Fi Music On Concentration In Physics Learning Among Senior High School Students, Qotrunnada Haq, Tutut Pristiati, Ika Wahyu Widyawati

Journal of Innovation and Teacher Professionalism

Learning concentration is a key component of an effective learning process, particularly for students who frequently encounter various distractions. In the modern era, adolescents often listen to music while studying, and previous studies have shown that music may either enhance or hinder concentration. However, research on the specific influence of low-fidelity (lo-fi) music remains limited. This study employed a quantitative approach with a pre-experimental design involving Grade XI science students at SMAN 1 Dramaga, Bogor. A total of 70 students participated, divided evenly into experimental and control groups. Research instruments included observation sheets, detailed lesson plans (RPP), and questionnaires. The …

The Effectiveness Of Problem-Based Learning In Object-Oriented Programming Instruction: A Classroom Action Research Study, Elva Hidayatul Haque, Slamet Wibawanto, Winda Sulistyana

Journal of Innovation and Teacher Professionalism

This study aims to examine the implementation of object-oriented programming (OOP) instruction using a Problem-Based Learning (PBL) approach to enhance students’ programming skills at SMKN 9 Malang. The research employed a Classroom Action Research (CAR) design conducted through three iterative cycles to systematically improve the learning process. The first cycle focused on the planning stage, in which learning objectives, instructional materials, and problem-oriented learning strategies aligned with OOP concepts were developed. The second cycle involved the implementation of the PBL approach, where students actively engaged in solving contextual programming problems requiring the application of object-oriented principles. During this stage, observations …

Ivan Pavlov’S Behaviorism Theory: Its Implementation In The Teaching And Learning Process, Rofiq Alfawwazy, Anggun Nurhidayah

Journal of Innovation and Teacher Professionalism

Ivan Pavlov’s behaviorism theory, which emphasizes the stimulus–response relationship through classical conditioning, holds a significant role in the field of education. This study examines the application of Pavlovian principles in learning through a literature review of five selected articles published between 2021 and 2025. The findings indicate that behaviorist strategies are effective in shaping students’ behavior, particularly in fostering discipline, responsibility, and task compliance, primarily through reinforcement methods such as praise, rewards, and social recognition. Nonetheless, the behaviorist approach also reveals several limitations, including rigid learning structures, diminished creativity, and overreliance on external stimuli. The implementation of behaviorist techniques differs …

The Effectiveness Of Window Shopping Cooperative Learning In Enhancing Creativity And Understanding Of Earth Structure Concepts, Dhiana Wahyu Kusuma Wardhani, Agung Mulyo Setiawan, Wahyu Hadi Susilo

Journal of Innovation and Teacher Professionalism

This study aimed to examine the effectiveness of the window shopping cooperative learning model in enhancing grade 8 students’ creativity and conceptual understanding of earth structure in science learning. The model was introduced as an alternative to address issues of low engagement and uneven participation in classroom activities. The research employed a classroom action research (CAR) design with three meetings representing the planning, action, and reflection stages. The participants were 29 students of class VIII F at SMPN 24 Malang. Data collection techniques included classroom observations, field notes, and a post-test. Qualitative data were analyzed thematically to capture participation, motivation, …