Academic Articles & Research Papers

Climate-Driven Oceanographic Changes Shape Larval Dispersal Success in the Southern Ocean.

TESTS OF HTS 2G SUPERCONDUCTING TAPES USING THE LABVIEW ENVIRONMENT

HTS 2G superconducting tapes without stabilizer are used for the construction of superconducting fault current limiters. The characteristics R =f(T) of the superconducting tape is essential for design of superconducting current limiters and...

Is There a Retrograde Accretion Disk around 4U 1626–67? Tracking Torque Reversals with a State-space Model

X-ray timing studies of the persistent, Galactic, accretion-powered pulsar 4U 1626−67 reveal torque reversals, during which the pulse frequency ν ( t ) alternates between multiyear episodes of secular acceleration and deceleration, separate...

Kadınlarının sağlık eğitimi ihtiyaçlarının odak grup görüşmesi yöntemi ile belirlenmesi

Bu araştırmanın genel amacı, kırsal kesimde yaşayan kadınlar için geliştirilecek “Halk Sağlığı” konulu bir programın kadınların sağlık risk algılamaları ve sağlıkla ilgili davranışları üzerindeki etkisinin belirlenmesidir. Araştırma grub...

Joint effects of ethnic enclave residence and ambient volatile organic compounds exposure on risk of gestational diabetes mellitus among Asian/Pacific Islander women in the United States

Abstract Background Asian/Pacific Islander (API) communities in the United States often reside in metropolitan areas with distinct social and environmental attributes. Residence in an ethnic enclave, a socially distinct area, is associated ...

Encapsulation of granulocyte colony-stimulating factor and granulocyte-macrophage colony-stimulating factor in liposomes prepared by thin film hydration and their transfer to mesenchymal stem cells and cord blood hematopoietic stem cells

Introduction Cytokines are important immune modulator factors controlling homeostasis of the body and are involved in tissue regeneration after wound healing. The encapsulation of cytokines in liposomes has many advantages potentially usefu...

Genetic and Psychosocial Risk Factors Associated with Suicide Among Community Veterans: Implications for Screening, Treatment and Precision Medicine

Joseph A Boscarino,1 Richard E Adams,2 Thomas G Urosevich,3 Stuart N Hoffman,4 H Lester Kirchner,1 Xin Chu,5 Weixing Shi,5 Joseph J Boscarino,6 Ryan J Dugan,1 Carrie A Withey,1 Charles R Figley7 1Department Population Health Sciences, Geisi...

Efficacy and safety of biofilm dispersal by glycoside hydrolases in wounds

Novel anti-biofilm and dispersal agents are currently being investigated in an attempt to combat biofilm-associated wound infections. Glycoside hydrolases (GHs) are enzymes that hydrolyze the glycosidic bonds between sugars, such as those f...

Optimization of False Target Jamming against UAV Detection

Unmanned aerial vehicles (UAVs) have been widely used for target detection in modern battlefields. From the viewpoint of the opponents, false target jamming is an effective approach to decrease the UAV detection ability or probability, but ...

Analysing interventions designed to reduce tuberculosis-related stigma: A scoping review.

Stigma is a critical barrier for TB care delivery; yet data on stigma reduction interventions is limited. This review maps the available literature on TB stigma reduction interventions, using the Health Stigma and Discrimination framework a...

TransKGQA: Enhanced Knowledge Graph Question Answering With Sentence Transformers

Knowledge Graph Question Answering (KGQA) plays a crucial role in extracting valuable insights from interconnected information. Existing methods, while commendable, face challenges such as contextual ambiguity and limited adaptability to di...

Detecting Target Objects by Natural Language Instructions Using an RGB-D Camera

Controlling robots by natural language (NL) is increasingly attracting attention for its versatility, convenience and no need of extensive training for users. Grounding is a crucial challenge of this problem to enable robots to understand N...

The role of lexicons in natural language processing

article Free AccessThe role of lexicons in natural language processing Authors: Louise Guthrie Lockheed Martin Text Exploitation Group Lockheed Martin Text Exploitation GroupView Profile , James Pustejovsky Brandeis Univ., Waltham Brandeis ...

Deutsche und polnische Phraseologie und Parömiologie im Kontakt und Kontrast

Das vorliegende Themenheft versammelt Beiträge, in denen der aktuelle Forschungsstand im Bereich der deutsch-polnischen und polnisch-deutschen Phraseologie und Parömiologie präsentiert wird. Die Idee zu diesem Themenheft ergab sich aus dem ...

Language Consciousness and Ukrainian Students’ Attitudes Towards the Ukrainian Language in a Time of War

By applying the survey method, the article presents and summarizes the theoretical questions of language policy, the language consciousness of students and their attitudes towards the Ukrainian language both before and after the start of th...

Sentiment Analysis and Topic Modeling of Indonesian Public Conversation about COVID-19 Epidemics on Twitter

The World Health Organization (WHO) declared the COVID-19 outbreak has resulted in more than six million confirmed cases and more than 371,000 deaths globally on June 1, 2020. The incident sparked a flood of scientific research to help soci...

Is ChatGPT a General-Purpose Natural Language Processing Task Solver?

Spurred by advancements in scale, large language models (LLMs) have demonstrated the ability to perform a variety of natural language processing (NLP) tasks zero-shot-i.e., without adaptation on downstream data.Recently, the debut of ChatGP...

Natural language processing

Article Free Access Share on Natural language processing: what's really involved? Authors: Roger Schank Yale University, New Haven, CT Yale University, New Haven, CTView Profile , Alex Kass Yale University, New Haven, CT Yale University, Ne...

Large Language Models and the Elliott Wave Principle: A Multi-Agent Deep Learning Approach to Big Data Analysis in Financial Markets

Traditional technical analysis methods face limitations in accurately predicting trends in today’s complex financial markets. Meanwhile, existing AI-driven approaches, while powerful in processing large datasets, often lack interpretability...

Multi-Task Learning in Natural Language Processing: An Overview

Deep learning approaches have achieved great success in the field of Natural Language Processing (NLP). However, directly training deep neural models often suffer from overfitting and data scarcity problems that are pervasive in NLP tasks. ...