Digital Commons Network^™

Analysis Of Research And Development Trends Of New Drugs, Ping Xu, Li Xu, Ruo-Nan Yang, Wei Li, Kaixian Chen

Bulletin of Chinese Academy of Sciences (Chinese Version)

As an important component in the pharmaceutical innovation, research and development (R&D) of new drugs stands at the forefront of a new round of life science and technology revolution and bioeconomic reform, which is of strategic significance to leading scientific and technological innovation, driving economic development, and improving people’s health and well-being. At present, continuous innovation in cutting-edge technologies, cross-domain integration of disciplines, and digital depth enablement drive active innovation in the field of new drug R&D. Both domestically and internationally, innovative small molecule drugs, antibody drugs, immune cell therapy, gene therapy and nucleic acid drugs are receiving intensive market …

New Frontier In Race For Deep Space Exploration: Lunar Water Resources, Yong Wei, Honglei Lin, Fei He, Hui Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Deep space exploration has become the commanding heights of science and technology competition. Since the beginning of the 21st century, China has successfully completed the lunar exploration missions of “orbiting, landing, and returning” in just twenty years, and upgraded to a new roadmap of “survey, construction, and utilization”. Meanwhile, lunar exploration worldwide has shown a trend towards normalization and commercialization. The research on lunar water resources has sparked widespread interest and intense competition among countries and space agencies, marking a new focus in human’s deep space exploration. The exploration of lunar water can help reveal crucial processes in the formation …

Winning Battle For Key And Core Technologies In Emerging Fields—Inspiration Based On 863 Program Related Projects, Guangzu Bai, Li Li, Hongfei Meng, Qiang Wang, Xiaoyang Cao, Anrong Liu, Bo Cheng, Mimi Zhan, Jing Li, Leiei Cui, Xiangwan Du

Bulletin of Chinese Academy of Sciences (Chinese Version)

Emerging technology fields have become the main battleground for strategic competition among major powers today, with key and core technologies serving as crucial approach in shaping a nation’s international competitive advantage. This study, from the perspective of national strategy, profoundly understands the significant importance of winning the key and core technology battle in emerging fields. Based on this understanding, it starts with a comparison between the implementation background of the 863 Program and the current reality. It systematically summarizes valuable experiences from projects aimed at advancing key and core technologies in emerging fields, and puts forward reflections and suggestions for …

Multiple Input System Of Disruptive Technologies, Mimi Zhan, Xianke Peng, Xiaoyang Cao, Xiaomian Hu

Bulletin of Chinese Academy of Sciences (Chinese Version)

As the great power to drive human society’s development and the industrial transformation, disruptive technologies have attracted the attention of countries around the world. The major economies worldwide have made relevant strategic plans to develop disruptive technologies for preempting the zenith of technological innovation. As the effective approach to gather various resources, the multiple input system of disruptive technologies has become a place of strategic importance and related studies have also been paid more and more attention. The multiple input system of disruptive technologies is investigated firstly from the perspective of innovation mechanism in this study. Based on the innovation …

Synthetic Biology Enablement: From Academic Development To Industrial Transformation, Yan Xiong, Xueqing Ma, Daming Chen, Xiao Liu, Guoping Zhao

Bulletin of Chinese Academy of Sciences (Chinese Version)

Synthetic biology revolutionizes the comprehension of life systems from an engineering perspective, employing a “bottomup” approach in life science research. It adopts an iterative research paradigm of “design-build-test-learn” in life science research and creates engineered new life systems grounded in genomics and systems biology. This provides a new pathway of “from creation to understanding” for life sciences, departing from the traditional reductionist research strategy of “study the whole to understand the parts” and opening up a new culture of “building to understand” the essence of life. Additionally, synthetic biology elevates existing biotechnologies previously based on “simulating natural processes” and “genetic …

Advances In Data-Driven Life Sciences Research, Haiping Jiang, Chunchun Gao, Wenhao Liu, Yungui Yang, Xin Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

The field of life sciences is rapidly evolving, driven by advancements in experimental techniques and vast biological big data which gradually arise and play an increasingly important role in life science research. First of all, biological big data has diversity and complexity, including genomic data, epigenomic data, proteomic data and other types. These data provide researchers with more comprehensive information and help reveal the laws behind life phenomena. Second, new data-driven developments and applications in life sciences cover many fields such as gene editing, precision medicine, drug development, etc., providing unprecedented possibilities for human health and quality of life. However, …

Promoting Ecosystem Based Marine Management Through A Marine Ecological Classification And Zoning System, Wenhai Lu, Xiao Li, Meng Cui

Bulletin of Chinese Academy of Sciences (Chinese Version)

Ecosystem based ocean management is an important means of building marine ecological civilization. The current marine ecological classification and zoning in China comprehensively sorts out the types and natural geographical characteristics of marine ecosystems, divided the Chinese seas and adjacent waters into several levels of ecological spatial units according to different scales, effectively characterizes the geographical distribution features of marine biological communities and their habitats, and provides effective support for ecosystem based marine management. This study analyzed the practical significance of marine ecological classification and zoning. Based on a review of the development of marine ecological classification and zoning, this …

Modernization Of Science And Technology From Perspective Of Chinese Path: Implications Of The Era, Characteristics, And Reflections, Baoyu Jia, Yan Ying, Jiang Yu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The modernization of science and technology is the key to Chinese path to modernization and plays a fundamental and strategic supporting role in building a powerful socialist modernization country. This study reviews various stages of development including sprouting and exploration, recovery and acceleration, catching up and leading, summarizes the characteristics and experience, and discusses the improvement in terms of level, concept, culture, topic selection, organization, system, governance, team, and guarantee, and then, proposes the concept of “Chinese Path to S&T Modernization”.

Policy Overview (April, 2024)

Bulletin of Chinese Academy of Sciences (Chinese Version)

No abstract provided.

Technology Innovation Is The Key To Future Space Science Missions, Ji Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Space science is one of the important space activities of China together with space technology and space application. Although it is a space program aimed at scientific discovery and breakthrough, with the development of technology and the increasing number of achievements received in the past, space science missions require more and more technological innovation to achieve their goals. This study first reviews the development trend of space science missions since their birth, then analyzes the cultivation process of space science mission proposals with technological innovation and the responsibilities of the chief scientist leading such tasks, and finally analyzes and proposes …

Generalizing Parkinson’S Disease Detection Using Keystroke Dynamics: A Self-Supervised Approach, Shikha Tripathi, Alejandro Acien, Ashley A Holmes, Teresa Arroyo-Gallego, Luca Giancardo

Faculty, Staff and Student Publications

Objective: Passive monitoring of touchscreen interactions generates keystroke dynamic signals that can be used to detect and track neurological conditions such as Parkinson's disease (PD) and psychomotor impairment with minimal burden on the user. However, this typically requires datasets with clinically confirmed labels collected in standardized environments, which is challenging, especially for a large subject pool. This study validates the efficacy of a self-supervised learning method in reducing the reliance on labels and evaluates its generalizability.

Materials and methods: We propose a new type of self-supervised loss combining Barlow Twins loss, which attempts to create similar feature representations with reduced …

Development And Evaluation Of A Teamstepps® Program Among Cardiac Procedural Unit Staff In A Mid-Atlantic Community Hospital To Improve Teamwork And Patient Safety, Dawn K. Mutchko

Dissertations

Communication and teamwork between members of the non-provider patient care team in the cardiac procedural unit were observed to be unbalanced and at times ineffective. Team members additionally expressed concerns regarding efficiency and accuracy in patient handoff, specifically between units. The goal of this study was to improve teamwork and communication among the staff of the cardiac catheterization and electrophysiology lab. Participation in this initial, single-unit phase would include the non-physician staff of that unit.

Deep Clustering Of Tabular Data By Weighted Gaussian Distribution Learning, Shourav B. Rabbani, Ivan V. Medri, Manar D. Samad

Computer Science Faculty Research

Deep learning methods are primarily proposed for supervised learning of images or text with limited applications to clustering problems. In contrast, tabular data with heterogeneous features pose unique challenges in representation learning, where deep learning has yet to replace traditional machine learning. This paper addresses these challenges in developing one of the first deep clustering methods for tabular data: Gaussian Cluster Embedding in Autoencoder Latent Space (G-CEALS). G-CEALS is an unsupervised deep clustering framework for learning the parameters of multivariate Gaussian cluster distributions by iteratively updating individual cluster weights. The G-CEALS method presents average rank orderings of 2.9(1.7) and 2.8(1.7) …

2024 Commencement Program, New York Law School

Commencement Programs

No abstract provided.

Book Review: Armies In Retreat: Chaos, Cohesion, And Consequences, J.P. Clark

Parameters Bookshelf – Online Book Reviews

Editors: Timothy G. Heck and Walker D. Mills

Reviewed by Dr. J.P. Clark, associate professor of strategy, Basic Strategic Art Program, US Army War College

Dr. J.P. Clark provides a thoughtful analysis of this anthology on retreat, an "under-studied topic in the US military." The book covers case studies spanning from the ancient world to the US withdrawal from Afghanistan in 2021 and even discusses retreat in the context of cyberspace. Clark employs his expertise as a strategy professor to give a valuable critique, highlighting the book’s merits (for example, the “intriguing angle” of the Gallipoli Campaign analysis) and some …

Taming The "Dartmouth Animal", Kira Lynn Parrish-Penny

Sociology Undergraduate Senior Theses

Reflecting on Dartmouth College’s tumultuous early years of coeducation in the 1970s, former president John Kemeny remarked that several students “took it on as a sort of mission to make life miserable for women students when they first arrived… from verbal abuse to … raids on women’s dormitories and… doing everything possible that a minority of students can do to make the women feel unwelcome.” Using archival data from the Rauner Special Collections Library, this thesis explores two questions: (1) how were norms and values around masculinity constructed at Dartmouth? (2) How did this construction of masculinity shift over the …

Survey Finds 99% Of 2023 Grads Employed Or Continuing Education, Julia Perez

News and Events (Discontinued Series)

No abstract provided.

Criminal Justice: Crime & Punishment, Carlene Barnaby

Open Educational Resources

No abstract provided.

Indigenous Land Back In Malaysia: Capturing Orang Asal Resistance Through #Kembalikantanahadat, Tarchithaa Chandra Sekharan

Senior Theses

The rise of a pan-indigenous network has been empowered by digital media in the 21st century. Universal concepts such as “landback” have traveled beyond the boundaries of language and borders. For indigenous peoples in Malaysia, the Orang Asal, online resistance is a reclamation of space long suppressed historically and physically. With actions like spreading local news on land rights court cases and development projects, indigenous reclamation from within the Orang Asal as well as indigenous allyship from citizens and diasporic Malaysians alike is possible. #KembalikanTanahAdat in Malay, #ReturnCustomaryLand is one of the many hashtags for a move towards increasing awareness …

Book Review: Thanks For Your Service: The Causes And Consequences Of Public Confidence In The Us Military, James "Andy" Nichols

Parameters Bookshelf – Online Book Reviews

Author: Christian Nikolaus Braun

Reviewed by Lieutenant Colonel James “Andy” Nichols, US Army War College class of 2023

Lieutenant Colonel James “Andy” Nichols provides a thoughtful review of Duke University professor Peter D. Feaver’s book on the reasons for—and proposed ways to maintain—the “high public confidence” that the US military has experienced since 2001. Nichols overviews Feaver’s research methodology and policy recommendations, providing potential readers useful praise of the book’s merits—particularly Feaver’s “discussions surrounding politicization (party) and public pressure”—and some critiques, namely that the policy recommendations are “underdeveloped.” Nichols concludes that “[t]he text advances policy discussions on public confidence in …

A Multi-Material Platform For Imaging Of Single Cell-Cell Junctions Under Tensile Load Fabricated With Two-Photon Polymerization, Jordan Rosenbohm, Grayson Minnick, Bahareh Tajvidi Safa, Amir M. Esfahani, Xiaowei Jin, Haiwei Zhai, Nickolay V. Lavrik, Ruiguo Yang

Department of Mechanical and Materials Engineering: Faculty Publications

We previously reported a single-cell adhesion micro tensile tester (SCAμTT) fabricated from IP-S photoresin with two-photon polymerization (TPP) for investigating the mechanics of a single cell-cell junction under defined tensile loading. A major limitation of the platform is the autofluorescence of IP-S, the photoresin for TPP fabrication, which significantly increases background signal and makes fluorescent imaging of stretched cells difficult. In this study, we report the design and fabrication of a new SCAμTT platform that mitigates autofluorescence and demonstrate its capability in imaging a single cell pair as its mutual junction is stretched. By employing a two-material design using IP-S …

Unveiling Anomalies: A Survey On Xai-Based Anomaly Detection For Iot, Esin Eren, Feyza Yildirim Okay, Suat Özdemi̇r

Turkish Journal of Electrical Engineering and Computer Sciences

In recent years, the rapid growth of the Internet of Things (IoT) has raised concerns about the security and reliability of IoT systems. Anomaly detection is vital for recognizing potential risks and ensuring the optimal functionality of IoT networks. However, traditional anomaly detection methods often lack transparency and interpretability, hindering the understanding of their decisions. As a solution, Explainable Artificial Intelligence (XAI) techniques have emerged to provide human-understandable explanations for the decisions made by anomaly detection models. In this study, we present a comprehensive survey of XAI-based anomaly detection methods for IoT. We review and analyze various XAI techniques, including …

Text-To-Sql: A Methodical Review Of Challenges And Models, Ali Buğra Kanburoğlu, Faik Boray Tek

Turkish Journal of Electrical Engineering and Computer Sciences

This survey focuses on Text-to-SQL, automated translation of natural language queries into SQL queries. Initially, we describe the problem and its main challenges. Then, by following the PRISMA systematic review methodology, we survey the existing Text-to-SQL review papers in the literature. We apply the same method to extract proposed Text-to-SQL models and classify them with respect to used evaluation metrics and benchmarks. We highlight the accuracies achieved by various models on Text-to-SQL datasets and discuss execution-guided evaluation strategies. We present insights into model training times and implementations of different models. We also explore the availability of Text-to-SQL datasets in non-English …

Security Fusion Method Of Physical Fitness Training Data Based On The Internet Of Things, Bin Zhou

Turkish Journal of Electrical Engineering and Computer Sciences

Physical fitness training, an important way to improve physical fitness, is the basic guarantee for forming combat effectiveness. At present, the evaluation types of physical fitness training are mostly conducted manually. It has problems such as low efficiency, high consumption of human and material resources, and subjective factors affecting the evaluation results. ”Internet+” has greatly expanded the traditional network from the perspective of technological convergence and network coverage objects. It has expedited and promoted the rapid development of Internet of Things (IoT) technology and its applications. The IoT with many sensor nodes shows the characteristics of acquisition information redundancy, node …

Stereo-Image-Based Ground-Line Prediction And Obstacle Detection, Emre Güngör, Ahmet Özmen

Turkish Journal of Electrical Engineering and Computer Sciences

In recent years, vision systems have become essential in the development of advanced driver assistance systems or autonomous vehicles. Although deep learning methods have been the center of focus in recent years to develop fast and reliable obstacle detection solutions, they face difficulties in complex and unknown environments where objects of varying types and shapes are present. In this study, a novel non-AI approach is presented for finding the ground-line and detecting the obstacles in roads using v-disparity data. The main motivation behind the study is that the ground-line estimation errors cause greater deviations at the output. Hence, a novel …

Development Of A Nanoparticle-Based Nasal Vaccine Against Sars-Cov-2, Jorge Kalil, Roberta Liberato Pagni, Ana Iochabel Soares Moretti, Keity Souza Santos, Edécio Cunha-Neto, Verônica Porto Carreiro De Vasconcellos Coelho, Marco Antônio Stephano, Marcos Camargo Knirsch, Koiti Araki, Silvia Beatriz Boscardin, Daniela Santoro Rosa, Ana Maria Moro

Vaccine Technology IX

Please click Additional Files below to see the full abstract

Restrictive Covenants In Surgical Care: Time To Reconsider, Andrew J. Malek, Ian L. Mcculloch, Alan Z. Yang, Goutam K. Gadiraju, Justin M. Broyles

School of Medicine Faculty Publications

No abstract provided.

Domestic Exotic: Dispossession And Desire In South Florida 20th C Tourism, Emily Nelms

Masters of Environmental Design Theses

Domestic Exotic, considers the conditions that led to the rise of cultural tourism in Florida and examines Yale University’s involvement in this economic phenomenon. Cultural tourism is defined as site-seeing attractions where performers interact with visitors under fabricated conditions. At these sites, ‘the spectacle of the other’ was demarcated onto specific bodies, creating a collective imaginary that helped to shape the infrastructure and public thought of Florida as a travel destination for Euro-American audiences. This document supports an exhibition at the Yale Peabody Museum titled, The Resonance of Things Unseen: Indigenous Sovereignty, Institutional Accession, and Private Correspondence (March 26 - …

Authorizing Violence: Spatial Techniques Of Citizenship Politics In Northeast India, Samarth Vachhrajani

Masters of Environmental Design Theses

Authorizing Violence: Spatial Techniques of Citizenship Politics in Northeast India studies the spatial and legal instruments through which Hindu Nationalism and its political front, the Bhartiya Janata Party (BJP), operates in Northeast India. I document the means through which authoritarian power has been introduced into a democratic structure of governance. Emphasizing the role of architecture and spatial knowledge, I attend to how the violence of disenfranchisement and dispossession is legitimized under the force of law.

For this, Chapter 1, entitled 'Legislating Containment,' turns to the legal instrument of citizenship and studies the Goalpara detention center and multi-purpose criminal …

Copyright Notice, Chicago-Kent Journal Of Intellectual Property

Chicago-Kent Journal of Intellectual Property

No abstract provided.