Academic Articles & Research Papers

A Focused Review of Smartphone Diet-Tracking Apps: Usability, Functionality, Coherence With Behavior Change Theory, and Comparative Validity of Nutrient Intake and Energy Estimates

BackgroundSmartphone diet-tracking apps may help individuals lose weight, manage chronic conditions, and understand dietary patterns; however, the usabilities and functionalities of these apps have not been well studied. Objecti...

Classical humanitarianism and resilience humanitarianism: making sense of two brands of humanitarian action

Abstract Humanitarian aid has long been dominated by a classical, Dunantist paradigm that was based on the ethics of the humanitarian principles and centred on international humanitarian United Nations agencies and non-governmental organiza...

Pedagogical Projecting of the Model of a Future Specialist

Training future specialist to professional activity is one of the main tasks of higher and professional education. Pedagogical modeling of professional activity is used to determine the content of quantitative and qualitative information, w...

A recent update on development, synthesis methods, properties and application of natural products derived carbon dots

Abstract Natural resources are practically infinitely abundant in nature, which stimulates scientists to create new materials with inventive uses and minimal environmental impact. Due to the various benefits of natural carbon dots (NCDs) fr...

Quantum Key Distribution Protocols for Enhancing Cryptographic Resilience in Next-Generation 5G Network Infrastructures

ABSTRACTBackground: Quantum computing has posed a profound threat to the classical cryptographic systems as it is advancing at an exponential rate with the help of quantum algorithms like Shor’s and Grover’s which can easily decipher the Ri...

Computing metasurfaces for all-optical image processing: a brief review

Computing metasurfaces are two-dimensional artificial nanostructures capable of performing mathematical operations on the input electromagnetic field, including its amplitude, phase, polarization, and frequency distributions. Rapid progress...

Quantum computing with neutral atoms

The power of quantum computation derives from algorithmic methods that exploit the availability of quantum superposition and entanglement to perform computations that are intractable with classical devices. The race is on to develop hardwar...

A Computational Quantum-Based Perspective on the Molecular Origins of Life’s Building Blocks

The search for the chemical origins of life represents a long-standing and continuously debated enigma. Despite its exceptional complexity, in the last decades the field has experienced a revival, also owing to the exponential growth of the...

Quantum Computing with an Always-On Heisenberg Interaction

Many promising schemes for quantum computing (QC) involve switching "on" and "off" a physical coupling between qubits. This may prove extremely difficult to achieve experimentally. Here we show that systems with a constant Heisenberg coupli...

Conflicts in policy-based distributed systems management

Modern distributed systems contain a large number of objects and must be capable of evolving, without shutting down the complete system, to cater for changing requirements. There is a need for distributed, automated management agents whose ...

Group Geometrical Axioms for Magic States of Quantum Computing

Let H be a nontrivial subgroup of index d of a free group G and N be the normal closure of H in G. The coset organization in a subgroup H of G provides a group P of permutation gates whose common eigenstates are either stabilizer states of ...

Molecular Biology of the Cell

As the amount of information in biology expands dramatically, it becomes increasingly important for textbooks to distill the vast amount of scientific knowledge into concise principles and enduring concepts.As with previous editions, Molecu...

Variation Characteristics of Annual Baseflow at Different Frequencies in Upper Yangtze River Using a Digital Filtering Method

[Objective] Addressing critical gaps in understanding the Upper Yangtze River Basin (UYRB) baseflow dynamics is essential for regional water security and ecological sustainability. This study presents the first comprehensive multi-station a...

A small-bundle single-wall carbon nanotube electrothermal film for smart windows

The incorporation of electrothermal films into smart windows has been of intense research interest in developing highly conductive transparent films. However, achieving a high optical transparency and exceptional electrothermal performance ...

Piezoelectric Amino Acid Salts with Halogen-Based Coformers Produce Exceptional Force-Generated Voltage Output.

Data augmentation techniques in natural language processing

Data Augmentation (DA) methods – a family of techniques designed for synthetic generation of training data – have shown remarkable results in various Deep Learning and Machine Learning tasks. Despite its widespread and successful adoption w...

Analyzing Sentiments in eLearning: A Comparative Study of Bangla and Romanized Bangla Text Using Transformers

In the modern world, learning is becoming increasingly critical due to rapid technological breakthroughs, which highlight the need for continuous skill development in both the personal and professional spheres. As a result, eLearning is a c...

Machine Reading Comprehension for the Tamil Language With Translated SQuAD

Machine Reading Comprehension (MRC) is a challenging task in Natural Language Processing (NLP), crucial for automated customer support, enabling chatbots and virtual assistants to accurately understand and respond to queries. It also enhanc...

Menstrual Health Education Using a Specialized Large Language Model in India: Development and Evaluation Study of MenstLLaMA

Abstract BackgroundThe quality and accessibility of menstrual health education (MHE) in low- and middle-income countries, including India, remain inadequate due to persistent challenges (eg, poverty, social stigma, and gender in...

Empowering text classification with NLP and explainable AI for enhanced interpretability

Abstract Artificial intelligence (AI) models have demonstrated significant success in classifying various types of text. However, the complex nature of these models often complicates the interpretability of their classifications. To address...