Barriers and facilitators of fetal heart monitoring with a mobile cardiotocograph (iCTG) device in underserved settings: An exploratory qualitative study from Tanzania. by Dorkasi L Mwakawanga, Sanmei Chen, Yhuko Ogata, Minami Suzuki, Yuryon Kobayashi, Miyuki Toda, Naoki Hirose, Yoko Shimpuku

“…<h4>Background</h4>Fetal monitoring in low-resource settings is often inadequate. A mobile cardiotocograph fetal monitoring device is a digital innovation that could ensure the safety of pregnant women at high risk and their fetuses through early detection and management of fetal distress. …”
Get full text

A Gradient Grating Period Guided-Mode Resonance Spectrometer by Hsin-Yun Hsu, Yi-Hsuan Lan, Cheng-Sheng Huang

“…In this study, a GGP-GMR spectrometer less than 3 mm long that can achieve a wavelength detection range of 200 nm was demonstrated to reconstruct various incident spectra, including a single wavelength of light with a resolution of 0.5 nm, a single wavelength of light with varying intensity levels, and dual incident light sources.…”
Get full text

Collective Mapping of Gas Leakages to Determine Safe Routes Using Multi-Robot System by Ronnier Frates Rohrich, Luis Felipe Messias, Jose Lima, Andre Schneider de Oliveira

“…In this study, robot groups act as multiple composite sensors that can move independently according to their assigned functions. Autonomous detection, collective mapping, and collective decision-making of the robots are behaviors bioinspired by the cognitive mechanisms observed in bacterial colonies. …”
Get full text

Simple fuzzy classification of metal qualities of Ona River, Ibadan, Nigeria, and its implication for fish production and other uses by Olayiwola Akin Akintola, Foluso Oyedotun Agunbiade, Tolulope Omolayo Ariyomo, Toju Esther Babalola, Bolaji Adelanke Adabembe, Oluwaseun Temitope Faloye, Opeyemi Samuel Sajo

“…The results revealed that the PTEs: Fe, Pb, Cd, Cr, and Mn were detected above guideline limits in several sampling points, indicating possible contamination from anthropogenic sources. …”
Get full text

Mapping indicator species of segetal flora for result-based payments in arable land using UAV imagery and deep learning by Caterina Barrasso, Robert Krüger, Anette Eltner, Anna F. Cord

Get full text

Prokaryotic microbial compositions and physicochemical characteristics of Huangshui, a by-product of Baijiu fermentation by TANG Yanping, GAO Xiubing, NI Jie, ZHANG Fengqin

“…Huangshui is a by-product of solid-state fermentation Baijiu that has abundant microbial resources. In this study, the similarities and differences in physicochemical properties and prokaryotic microbial structures among different sources of Huangshui were comprehensively analyzed by physicochemical detection methods and high-throughput sequencing technology. …”
Get full text

Single-cell transcriptional responses of T cells during microsporidia infection by Yunlin Tang, Lu Cao, Jiangyan Jin, Tangxin Li, Yebo Chen, Yishan Lu, Tian Li, Louis M. Weiss, Guoqing Pan, Jialing Bao, Zeyang Zhou

Get full text

Intra action review of the cholera outbreak response in Kadoma city, Zimbabwe, 2024 by Clayton Munemo, Chido Zibanayi, Hamilton Gomba, Precious Banda, Sarah Tengawarima, Sikhanyisiwe Moyo, Daniel Chirundu

“…The working groups covered eight response pillars aligned to the five core functions of the Incident Management System (IMS). …”
Get full text

Open Radio Access Networks “O-RAN” SystemsThroughput improvement) by Russul Qasim, Ismail S. Baqer

“…The suggested iterative approach, namely LSF-IV, leverages the large-scale fading detection (LSF) and the intermediate value method (IV) to attain the balancing between users' uplink spectral performance. …”
Get full text

Construction and Completion of the Knowledge Graph for Cow Estrus with the Association Rule Mining by Zhiwei Cheng, Luyu Ding, Cheng Peng, Helong Yu, Baozhu Yang, Ligen Yu, Qifeng Li

“…Additionally, we employed an enhanced Iforest-OCSVM anomaly detection model to assess the performance of the association rules in detecting abnormal estrus. …”
Get full text

A metabolic profiling approach to characterize and discriminate plant-based beverages and milk by Gaia Meoni, Ingrid Sousa, Leonardo Tenori, Giovanni Niero, Marta Pozza, Massimo De Marchi, Carmen L. Manuelian

“…ABSTRACT: The rising demand for nondairy and nonanimal protein sources has increased plant-based beverages (PBB) consumption. …”
Get full text

Spatiotemporal understanding of behaviors of laying hens using wearable inertial sensors by Tsuyoshi Shimmura, Itsufumi Sato, Ryo Takuno, Kaori Fujinami

Get full text

State of the art in remote sensing monitoring of carbon dynamics in African tropical forests by Thomas Bossy, Thomas Bossy, Thomas Bossy, Philippe Ciais, Philippe Ciais, Solène Renaudineau, Liang Wan, Bertrand Ygorra, Elhadi Adam, Nicolas Barbier, Marijn Bauters, Nicolas Delbart, Nicolas Delbart, Frédéric Frappart, Tawanda Winmore Gara, Eliakim Hamunyela, Suspense Averti Ifo, Gabriel Jaffrain, Philippe Maisongrande, Maurice Mugabowindekwe, Maurice Mugabowindekwe, Theodomir Mugiraneza, Theodomir Mugiraneza, Cassandra Normandin, Conan Vassily Obame, Marc Peaucelle, Camille Pinet, Pierre Ploton, Le Bienfaiteur Sagang, Martin Schwartz, Valentine Sollier, Bonaventure Sonké, Bonaventure Sonké, Paul Tresson, Aurélien De Truchis, An Vo Quang, Jean-Pierre Wigneron

“…Future developments in remote sensing should examine how multi-sensor integration of high-resolution data from instruments such as Planet, Tandem-X, SPOT and improved AI methods can refine forest composition, carbon storage and function maps, enhance large-scale monitoring of tree height and biomass dynamics, and improve forest degradation and deforestation detection down to tree level. …”
Get full text

Tracking the genome-wide occupancy of Arabidopsis LEAFY COTYLEDON1 in endosperm development by Jingpu Song, Xin Xie, Ioannis Mavraganis, Bianyun Yu, Wenyun Shen, Hui Yang, Daoquan Xiang, Yangdou Wei, Yuhai Cui, Jitao Zou

Get full text

Optimised Neural Network Model for Wind Turbine DFIG Converter Fault Diagnosis by Ramesh Kumar Behara, Akshay Kumar Saha

“…VMD’s robustness stems from its ability to decompose a signal into intrinsic mode functions (IMFs) with well-defined centre frequencies and bandwidths. …”
Get full text

The influence of shot noise on the performance of phase singularity-based refractometric sensors by Maslova Valeria, Ermolaev Georgy, Andrianov Evgeny S., Arsenin Aleksey V., Volkov Valentyn S., Baranov Denis G.

“…This raises a natural question: What happens with the sensitivity and resolution of such a sensor when it operates close to a zero of the response function, where the detected signal may be greatly influenced by various noise sources? …”
Get full text

Potential for non‐destructive astrochemistry using the ExoMars PanCam by Michael C. Storrie‐Lombardi, J.‐P. Muller, M. R. Fisk, A. D. Griffiths, A. J. Coates

“…This non‐destructive triage allows prioritized deployment of organic detection experiments requiring sample destruction and/or expenditure of non‐replaceable resources. …”
Get full text

YOLOv8-Based Estimation of Estrus in Sows Through Reproductive Organ Swelling Analysis Using a Single Camera by Iyad Almadani, Mohammed Abuhussein, Aaron L. Robinson

“…By using this comprehensive approach, we significantly enhanced the accuracy of estrus detection in sows while effectively mitigating human errors and resource wastage. …”
Get full text

Unsustainable anthropogenic mortality threatens the long-term viability of lion populations in Mozambique. by João Almeida, Willem D Briers-Louw, Agostinho Jorge, Colleen Begg, Marnus Roodbol, Hans Bauer, Andrew Loveridge, Matthew Wijers, Rob Slotow, Peter Lindsey, Kristoffer Everatt, Holly Rosier, Sean Nazerali, Lizanne Roxburgh, Hugo Pereira, Mercia da Conceicao, Armindo Araman, Osvaldo J Abrao, Alison J Leslie, Franziska Steinbruch, Vincent N Naude, Samantha K Nicholson

“…Our findings suggest that resilience to anthropogenic threats is largely a function of lion population size as well as resource and management capacity. …”
Get full text

Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…IntroductionDetection of tree leaf diseases plays a crucial role in the horticultural field. …”
Get full text