Valorizing date seeds through ultrasonication to enhance quality attributes of dough and biscuit: Part 2 - Study on bioactive properties, sensory acceptance, in vitro gastrointestinal digestion and shelf life of biscuits.

Aligning with sustainable food system development, in this study, date seeds derived compounds were utilized as functional ingredient to formulate value-added biscuits. Ultrasound-assisted extraction (UAE) was employed as a non-thermal method to extract polyphenolic compounds from small, medium and large particles of defatted date seed powder (DDSP). The remaining fiber-rich fraction (residue) was further utilized.

A Systematic Literature Review and Bibliometric Analysis of Blockchain Technology for Food Security.

The United Arab Emirates (UAE) faces obstacles in guaranteeing food security because of its desert climate, restricted arable land, and significant reliance on food imports. Establishing a robust and transparent food supply chain is crucial. This study investigates the crucial functions of blockchain technology in protecting and improving food security in the UAE.

FinSafeNet: securing digital transactions using optimized deep learning and multi-kernel PCA(MKPCA) with Nyström approximation.

With the swift advancement of technology and growing popularity of internet in business and communication, cybersecurity posed a global threat. This research focuses new Deep Learning (DL) model referred as FinSafeNet to secure loose cash transactions over the digital banking channels. FinSafeNet is based on a Bi-Directional Long Short-Term Memory (Bi-LSTM), a Convolutional Neural Network (CNN) and an additional dual attention mechanism to study the transaction data and influence the observation of various security threats.

Psychometric Testing of an Arabic Version of the Attitude Toward Skin-to-Skin Contact Instrument among Women in Saudi Arabia: A Cross-Cultural Validation Study.

Background/objectives: The World Health Organization recommends skin-to-skin contact immediately after birth, yet the practice rate remains low in Saudi Arabia, impacting the health and well-being of mother-baby dyads. No previous studies have explored Saudi women's attitudes toward skin-to-skin contact, a critical factor in developing strategies to increase its adoption. This study aimed to develop and evaluate an instrument to assess attitudes toward skin-to-skin contact among women in Saudi Arabia.

The Vaper's Perspective: A Qualitative Study of E-Cigarette Users and Smokers in Slovenia.

Background: The use of e-cigarettes has been rapidly expanding in recent years. The reasons people in Slovenia chose to use electronic cigarettes have not been studied to date. This study examines e-cigarette users' attitudes regarding their health risks.

Detection of real-time deep fakes and face forgery in video conferencing employing generative adversarial networks.

As facial modification technology advances rapidly, it poses a challenge to methods used to detect fake faces. The advent of deep learning and AI-based technologies has led to the creation of counterfeit photographs that are more difficult to discern apart from real ones. Existing Deep fake detection systems excel at spotting fake content with low visual quality and are easily recognized by visual artifacts.

Unveiling the effect of natural deep eutectic solvents-based date seed polyphenolic extract on the properties of chitosan-PVA films and its application in shrimp packaging.

This study explored natural deep eutectic solvent-based polyphenolic extract from date fruit seed as a functional and bioactive compound in chitosan-poly(vinyl)alcohol (CSPVA) films. Various concentrations of the extract (1.5 %, 2 %, 2.

Valorizing date seeds through ultrasonication to enhance quality attributes of dough and biscuit, Part-1: Effects on dough rheology and physical properties of biscuits.

In the present study, non-conventional and green technology (ultrasonication) was utilized to recover bioactive compounds from the small, medium and large sized defatted date seed powder (DDSP) particles. Bioactive compounds recovered from DDSP and the remaining fiber-rich residue were incorporated as functional ingredient in the biscuit dough to enhance the functionality and the quality characteristics of the dough and biscuit. The polyphenolic extract and 2.

Synergistic biocementation: harnessing Comamonas and Bacillus ureolytic bacteria for enhanced sand stabilization.

Biocementation, driven by ureolytic bacteria and their biochemical activities, has evolved as a powerful technology for soil stabilization, crack repair, and bioremediation. Ureolytic bacteria play a crucial role in calcium carbonate precipitation through their enzymatic activity, hydrolyzing urea to produce carbonate ions and elevate pH, thus creating favorable conditions for the precipitation of calcium carbonate. While extensive research has explored the ability of ureolytic bacteria isolated from natural environments or culture conditions, bacterial synergy is often unexplored or under-reported.

An improved energy-efficient cloud-optimized load-balancing for IoT frameworks.

As wireless communication grows, so does the need for smart, simple, affordable solutions. The need prompted academics to develop appropriate network solutions ranging from wireless sensor networks (WSNs) to the Internet of Things (IoT). With the innovations of researchers, the necessity for enhancements in existing researchers has increased.

Experimental Evaluation of a Hybrid Sensory Feedback System for Haptic and Kinaesthetic Perception in Hand Prostheses.

This study proposes a new hybrid multi-modal sensory feedback system for prosthetic hands that can provide not only haptic and proprioceptive feedback but also facilitate object recognition without the aid of vision. Modality-matched haptic perception was provided using a mechanotactile feedback system that can proportionally apply the gripping force through the use of a force controller. A vibrotactile feedback system was also employed to distinguish four discrete grip positions of the prosthetic hand.

Automated Detection and Segmentation of Exudates for the Screening of Background Retinopathy.

Exudate, an asymptomatic yellow deposit on retina, is among the primary characteristics of background diabetic retinopathy. Background diabetic retinopathy is a retinopathy related to high blood sugar levels which slowly affects all the organs of the body. The early detection of exudates aids doctors in screening the patients suffering from background diabetic retinopathy.

A Machine Learning Approach to Classify Biomedical Acoustic Features for Baby Cries.

Communication is imperative for living beings for exchanging information. But for newborns, the only way of communicating with the world is through crying, and it is the only medium through which caregivers can know about the needs of their children. Timely addressing baby cries is very important so that the child is relieved at the earliest.

A systematic review of social network sentiment analysis with comparative study of ensemble-based techniques.

Sentiment Analysis (SA) of text reviews is an emerging concern in Natural Language Processing (NLP). It is a broadly active method for analyzing and extracting opinions from text using individual or ensemble learning techniques. This field has unquestionable potential in the digital world and social media platforms.

Secure Biomedical Document Protection Framework to Ensure Privacy Through Blockchain.

In the recent health care era, biomedical documents play a crucial role, and they contain much evidence-based documentation associated with many stakeholders data. Protecting those confidential research documents is more difficult and effective, and a significant process in the medical-based research domain. Those bio-documentation related to health care and other relevant community-valued data are suggested by medical professionals and processed.

A systematic literature review of indicators measuring food security.

Unlabelled: Measurement is critical for assessing and monitoring food security. Yet, it is difficult to comprehend which food security dimensions, components, and levels the numerous available indicators reflect. We thus conducted a systematic literature review to analyse the scientific evidence on these indicators to comprehend the food security dimensions and components covered, intended purpose, level of analysis, data requirements, and recent developments and concepts applied in food security measurement.

The impact of montessori-based programmes on individuals with dementia living in residential aged care: A systematic review.

Objectives: This systematic review examined the effectiveness of Montessori-based programmes for individuals with dementia living in residential aged care.

Methods: Nine databases were searched between January 2010 to October 2021, including Scopus, CINAHL, MEDLINE, Web of Science, SocINDEX with Full Text, PubMed, PsycINFO, Cochrane library and Cochrane Registry. Publications were included if they used Montessori-based programmes as interventions for individuals with dementia living in residential aged care and were qualitative, quantitative, mixed-method, or pilot studies.

Delirium incidence, predictors and outcomes in the intensive care unit: A prospective cohort study.

Aim: The aim of this study was to investigate the incidence, predictors, and outcomes of delirium in intensive care units.

Background: Delirium is a common complication in intensive care units. In developing countries, it can be misdiagnosed or unrecognised.

A 3D-Printed Soft Haptic Device with Built-in Force Sensing Delivering Bio-Mimicked Feedback.

Haptics plays a significant role not only in the rehabilitation of neurological disorders, such as stroke, by substituting necessary cognitive information but also in human-computer interfaces (HCIs), which are now an integral part of the recently launched metaverse. This study proposes a unique, soft, monolithic haptic feedback device (SoHapS) that was directly manufactured using a low-cost and open-source fused deposition modeling (FDM) 3D printer by employing a combination of soft conductive and nonconductive thermoplastic polyurethane (TPU) materials (NinjaTek, USA). SoHapS consists of a soft bellow actuator and a soft resistive force sensor, which are optimized using finite element modeling (FEM).

Evaluation of Growth Responses of Lettuce and Energy Efficiency of the Substrate and Smart Hydroponics Cropping System.

Smart sensing devices enabled hydroponics, a concept of vertical farming that involves soilless technology that increases green area. Although the cultivation medium is water, hydroponic cultivation uses 13 ± 10 times less water and gives 10 ± 5 times better quality products compared with those obtained through the substrate cultivation medium. The use of smart sensing devices helps in continuous real-time monitoring of the nutrient requirements and the environmental conditions required by the crop selected for cultivation.

Developing an analytical framework for estimating food security indicators in the United Arab Emirates: A review.

Unlabelled: Rapid population growth, climate change, limited natural resources, and the COVID-19 pandemic contribute to increased global hunger, necessitating intensive efforts to ensure food security and nutrition (FSN). Previous FSN approaches covered some dimensions, but not all, resulting in significant gaps in food security indicators. The Gulf Cooperation Council (GCC) and the Middle East and North Africa (MENA) regions have received less attention in food security studies, thus far necessitating considerable effort to develop an appropriate analytical framework.

Data-driven audiogram classifier using data normalization and multi-stage feature selection.

Audiograms are used to show the hearing capability of a person at different frequencies. The filter bank in a hearing aid is designed to match the shape of patients' audiograms. Configuring the hearing aid is done by modifying the designed filters' gains to match the patient's audiogram.