bluuebunny/crossref_metadata_2025_split huggingface dataset:
Whole blood no‐lyse no‐wash micromethod for the quantitative measurement of monocyte HLA‐DR
Authors: Miatello Jordi , Faivre Valérie , Marais Clémence , Raineau Mégane , Payen Didier , Tissieres Pierre 
Published: September 2023

AbstractBackgroundMonocyte (m)HLA‐DR expression appears to be a potent marker of immunosuppression in critically ill patients. The persistence of low mHLA‐DR expression is associated with an increased risk of nosocomial infections and mortality. To adapt this measurement to pediatric requirements and provide extensive 24/7 access, we have developed a whole blood no‐lyse no‐wash micromethod (MM) and compared it with the standardized method (SM).MethodsmHLA‐DR was quantified by flow cytometry using Quantibrite™ Anti‐HLA‐DR PE/Monocyte PerCP‐Cy™5.5 with either the SM performed in a diagnostic hematology laboratory using manufacturer protocol, or a whole blood no‐lyse no‐wash MM using an Attune flow cytometer located in the pediatric ICU. Median fluorescence intensity was measured in both techniques and converted to antibodies per cell (AB/C) calibrated with BD Quantibrite™ PE beads. Blood and Quantibrite™ reagent volume used with the MM was reduced by 5‐fold compared to SM. In addition to Quantibrite™ Anti‐Human HLA‐DR PE/Monocyte PerCP‐Cy™5.5, MM required anti‐CD45 and anti‐CD19 labeling.ResultsWe determined the expression of mHLA‐DR in 34 patients, 20 adults, and 14 children admitted to ICU. Correlation between MM and SM was excellent (Pearson's correlation: y = 0.8192x + 678.7, r = 0.9270, p < 0.0001). The estimated bias was 2467 ± 1.96 × 3307 AB/C; CI 95% [−4016; +8949].ConclusionsThe no‐lyse no‐wash whole blood microvolume method for measuring mHLA‐DR expression allows for simplified sample preparation without compromising accuracy of the data. This method may simplify immune monitoring of critically ill patient by the deployment of a point of care method.
Experimental performance of soil monitoring system using IoT technique for automatic drip irrigation
Authors: Jain Ravi Kant , Mukherjee Arpita , Karmakar Pratap , Banerjee Aishwarya , Akbarov Husan , Hasanov Shavkat 
Published: September 2023

SummaryThis paper proposes an IoT‐enabled soil monitoring system using wireless sensor network for automatic irrigation in agricultural applications, especially for lemongrass plants, where an automated control system is required for irrigation applications. This can solve the problem of the water crisis, which is faced by the farmers during the cultivation of the crop in the field. This controls the water supply in the irrigation process using an IoT communication system. A system architecture for soil monitoring and controlling irrigation using IoT technique is designed where the different sensors and actuators like humidity, soil moisture, temperature, pump, and so forth are connected with a node microcontrol unit and message queuing telemetry transport (MQTT) protocol for enhancing communication capabilities. This wireless sensor network gives feedback to the system. This provides automation by the on/off pump system during drip irrigation. The sensor data are displayed on a PC or mobile phone through wireless communication and an IoT cloud platform. An experimental testing setup is developed and the experimental performance of a soil monitoring system using IoT technique for automatic drip irrigation has been carried out and soil moisture data are also stored in a cloud server for analytics. The performance shows that the MQTT protocol sends data within 48 s to the IoT cloud so that the data can be acquired in a faster manner. This shows that this kind of soil monitoring system is suitable for automatic drip irrigation, which enhances the farming process and overcomes the water crises in the agricultural system by reducing the wastage of water.
Unified performance analysis with exact solutions for uplink non‐orthogonal multiple access system‐based cellular networks
Authors: Serhat Bulut Ibrahim , Ilhan Haci , Gatera Omar 
Published: September 2023

SummaryThis research presents a unified performance analysis methodology for the power domains of uplink non‐orthogonal multiple access (NOMA) system consisting of a base station and an arbitrary number of users over Rayleigh fading channels. The study derives exact closed‐form expressions for key performance metrics, such as outage probability (OP), symbol error rate (SER), outage capacity (OC), average channel capacity (AVC), and amount of fading, using binary phase shift keying (BPSK) and quadrature phase shift keying (QPSK) modulations. The analysis encompasses all necessary channel parameters for evaluating the performance of an uplink NOMA system. The theoretical and simulation results completely supported one another. Furthermore, the results were compared with experiments in the literature using similar parameters. The proposed system was determined to increase performance by 40% for OP, 62% for SER, and 4.74 times for AVC at SNR = 20 dB. Finally, this study introduced exact solutions that can significantly accelerate NOMA systems analysis by exploiting the information in the existing database for analytical design processes in communications theory.
Cavity‐backed substrate integrated waveguide MIMO element with enhanced isolation for 5G communication
Authors: Munusami Cholavendan , Venkatesan Rajeshkumar 
Published: September 2023

SummaryThis article communicates a novel compact four‐element orthogonal cavity‐backed antenna for 5G applications with enhanced isolation. The proposed dumbbell‐shaped substrate integrated waveguide–multiple input/multiple output (SIW‐MIMO) antenna resonate at 5.25 GHz (sub‐6 GHz) based on vias and resonate at 27 GHz (mm‐wave) with copper filling vias using FR‐4 substrate. Both prototypes are separately designed, fabricated, and tested using same dimension (40 mm × 40 mm × 1.6 mm) as well as same radiating structure. Moreover, SIW MIMO antenna design performances are compared between FR‐4 and Rogers RT/Duroid substrate. Deployment of SIW technique in MIMO antenna minimizes the antenna footprint and mutual coupling without involving any decoupling structure. The antenna simulation characteristics of both operating bands are compared and validated with the measurement results. Furthermore, the MIMO diversity parameters are examined.
Memory and language cognitive data harmonization across the United States and Mexico
Authors: Arce Rentería Miguel , Briceño Emily M. , Chen Diefei , Saenz Joseph , Kobayashi Lindsay C. , Gonzalez Christopher , Vonk Jet M. J. , Jones Richard N. , Manly Jennifer J. , Wong Rebeca , Weir David , Langa Kenneth M. , Gross Alden L. 
Published: September 2023

AbstractINTRODUCTIONWe used cultural neuropsychology‐informed procedures to derive and validate harmonized scores representing memory and language across population‐based studies in the United States and Mexico.METHODSData were from the Health and Retirement Study Harmonized Cognitive Assessment Protocol (HRS‐HCAP) and the Mexican Health and Aging Study (MHAS) Ancillary Study on Cognitive Aging (Mex‐Cog). We statistically co‐calibrated memory and language domains and performed differential item functioning (DIF) analysis using a cultural neuropsychological approach. We examined relationships among harmonized scores, age, and education.RESULTSWe included 3170 participants from the HRS‐HCAP (Mage = 76.6 [standard deviation (SD): 7.5], 60% female) and 2042 participants from the Mex‐Cog (Mage = 68.1 [SD: 9.0], 59% female). Five of seven memory items and one of twelve language items demonstrated DIF by study. Harmonized memory and language scores showed expected associations with age and education.DISCUSSIONA cultural neuropsychological approach to harmonization facilitates the generation of harmonized measures of memory and language function in cross‐national studies.HIGHLIGHTS
We harmonized memory and language scores across studies in the United States and Mexico.
A cultural neuropsychological approach to data harmonization was used.
Harmonized scores showed minimal measurement differences between cohorts.
Future work can use these harmonized scores for cross‐national studies of Alzheimer's disease and related dementias.
Testing transpiration rates of juvenile Aleppo pine trees using the heat ratio method under laboratory conditions
Authors: Sabater Ana M. , Valiente José Antonio , Bellot Juan , Vilagrosa Alberto 
Published: September 2023

AbstractTree transpiration considerably contributes to evaporative fluxes to the atmosphere in terrestrial ecosystems. Accurate transpiration quantification provides relevant information about forest water use and may benefit adaptive forest management, especially in a global change context. Tree transpiration can be measured by several methods, and sap flow measurements are one of the most valued. However, species‐specific validations of these techniques are required to avoid undesirable bias. This is especially relevant in species with low transpiration rates where errors may be relevant, such as Aleppo pine trees (Pinus halepensis Mill.). Moreover, another significant source of uncertainty in sap flow measurements is probe misalignment. Hence, the aim of this study was to correlate transpiration rates estimated by sap flow probes using the heat ratio method (THRM) and load cells to independently monitor water transpiration in juvenile Aleppo pine trees. The corrections to improve transpiration measures, including misalignment correction, were applied to THRM results to test if the accuracy of results improved. These measurements were recorded in greenhouse under controlled conditions to implement different environmental conditions. The environmental variables that ruled the experiment, mainly vapour pressure deficit and soil water availability, spanned in a wide range of values. The results showed an accurate linear correspondence between TOBS and THRM for low and medium values, but moderate underestimations at high transpiration rates were observed. These underestimations were partly removed when applying probe misalignment correction. This study supports the notion that HRM offers accurate Aleppo pine transpiration estimations with low and medium values under a variety of abiotic conditions, which also has implications for HRM application in other isohydric species. The results also support the interest in the use of probe misalignment correction to estimate transpiration, mainly when high transpiration values are recorded. The results of this study can be considered as a preliminary approach for future research in order to improve the estimates of the transpiration rates of the Aleppo pine under the limiting conditions of the Mediterranean.
Assessing the association between genetic and phenotypic features of dilated cardiomyopathy and outcome in patients with coronary artery disease
Authors: Jones Richard E. , Hammersley Daniel J. , Zheng Sean , McGurk Kathryn A. , de Marvao Antonio , Theotokis Pantazis I. , Owen Ruth , Tayal Upasana , Rea Gillian , Hatipoglu Suzan , Buchan Rachel J. , Mach Lukas , Curran Lara , Lota Amrit S. , Simard François , Reddy Rohin K. , Talukder Suprateeka , Yoon Won Young , Vazir Ali , Pennell Dudley J. , O'Regan Declan P. , Baksi A. John , Halliday Brian P. , Ware James S. , Prasad Sanjay K. 
Published: September 2023

AbstractAimsTo examine the relevance of genetic and cardiovascular magnetic resonance (CMR) features of dilated cardiomyopathy (DCM) in individuals with coronary artery disease (CAD).Methods and resultsThis study includes two cohorts. First, individuals with CAD recruited into the UK Biobank (UKB) were evaluated. Second, patients with CAD referred to a tertiary centre for evaluation with late gadolinium enhancement (LGE)‐CMR were recruited (London cohort); patients underwent genetic sequencing as part of the research protocol and long‐term follow‐up. From 31 154 individuals with CAD recruited to UKB, rare pathogenic variants in DCM genes were associated with increased risk of death or major adverse cardiac events (hazard ratio 1.57, 95% confidence interval [CI] 1.22–2.01, p < 0.001). Of 1619 individuals with CAD included from the UKB CMR substudy, participants with a rare variant in a DCM‐associated gene had lower left ventricular ejection fraction (LVEF) compared to genotype negative individuals (mean 47 ± 10% vs. 57 ± 8%, p < 0.001). Of 453 patients in the London cohort, 63 (14%) had non‐infarct pattern LGE (NI‐LGE) on CMR. Patients with NI‐LGE had lower LVEF (mean 38 ± 18% vs. 48 ± 16%, p < 0.001) compared to patients without NI‐LGE, with no significant difference in the burden of rare protein altering variants in DCM‐associated genes between groups (9.5% vs. 6.7%, odds ratio 1.5, 95% CI 0.4–4.3, p = 0.4). NI‐LGE was not independently associated with adverse clinical outcomes.ConclusionRare pathogenic variants in DCM‐associated genes impact left ventricular remodelling and outcomes in stable CAD. NI‐LGE is associated with adverse remodelling but is not an independent predictor of outcome and had no rare genetic basis in our study.
Stereo‐ and Regiochemical Effect of N,N‐Dialkylamide Extractants on the Speciation of Pu Complexes
Authors: Lemire David , Dumas Thomas , Marie Cécile , Giusti Fabrice , Arrachart Guilhem , Dourdain Sandrine , Pellet‐Rostaing Stephane 
Published: September 2023

AbstractThe relationship between extractant stereochemistry and their extraction performance has only poorly been established. In order to address a part of this concern, we investigated the Pu(IV) liquid‐liquid extraction (LLE) by using the N,N‐di‐(2‐ethylhexyl)butyramide (DEHBA), as well as those of its position isomers. DEHBA (ββ‐isomer) and N‐(2‐ethylhexyl)‐N‐(oct‐3‐yl)butyramide (EHOBA or αβ‐isomer) were synthesized as a mixture of stereoisomer or stereoenriched (R,S)‐ and (S,S)‐diastereoisomers, and were all assessed for PuIV LLE. The results showed that both the position and the stereoisomerism of the aliphatic substituents affect PuIV complexation and extraction. We found that Pu extraction is lowered by factor 2 to 4 when the ethyl branching group is closer to the complexing site. UV‐vis spectroscopy showed that this extraction decrease was affected by steric hindrance inducing a deprivation of Pu inner sphere complex. Effect of stereoisomerism is highlighted for branching closer to the complexing site (α‐position). Enantiopure DEHBA stereoisomers provided similar Pu extraction, whereas a slight decrease could be noticed for the more cluttered stereoenriched (αβ)‐isomers, which was also concomitant with a smaller population of inner sphere complex. In contrast, the stereoisomers mixture led to a strong decrease of Pu extraction because of an antagonistic association in the mixed complexes.
Synthetic Applications of Sulfonium Salts as Aryl Radical Precursors
Authors: Wu Xinyin , Gao Pan , Chen Feng 
Published: September 2023

AbstractThe utilization of aryl radicals as open‐shelled intermediates has become an essential tool for both conventional and state‐of‐the‐art synthetic chemistry. However, the current methods for generating aryl radicals are still inefficient, greatly impeding their practical applications. Encouragingly, sulfonium salts have emerged as appealing sources of aryl radicals for a wide range of transformations aimed at creating novel chemical bonds driven by their distinctive structural attributes and chemical tendencies. This review primarily focuses on the specific reaction mechanisms underlying the cleavage of C−S bonds in sulfonium salts, leading to the generation of corresponding aryl radicals within diverse reaction conditions.
First report of Tunisian patients with CDKL5‐related encephalopathy
Authors: Charfi Triki Chahnez , Zouari Mallouli Salma , Ben Jdila Marwa , Ben Said Mariem , Kamoun Feki Fatma , Weckhuysen Sarah , Masmoudi Sabeur , Fakhfakh Faiza 
Published: September 2023

AbstractObjectiveMutations in the cyclin‐dependent kinase‐like 5 gene (CDKL5) are associated with a wide spectrum of clinical presentations. Early‐onset epileptic encephalopathy (EOEE) is the most recognized phenotype. Here we describe phenotypic features in eight Tunisian patients with CDKL5‐related encephalopathy.MethodsWe included all cases with clinical features consistent with CDKL5‐related encephalopathy: infantile epileptic spasm, acquired microcephaly, movement disorders and visual impairment. We collected data about seizure types, electroencephalogram, magnetic resonance imaging, and metabolic analysis. The diagnosis of CDKL5 mutation was made thanks to Sanger sequencing with an ABI PRISM 3100‐Avant automated DNA sequencer using a Big Dye Terminator Cycle Sequencing Reaction Kit v1.1. and Next Generation Sequencing (NGS) since the development of a gene panel responsible for DEE within the framework of “Strengthening the Sfax University Expertise for diagnosis and management of epileptic encephalopathies”.ResultsWe collected four boys and four girls aged meanly 6 years old with confirmed mutation on CDKL5 gene. Overall, we identified five de novo CDKL5 mutations including three Frame‐shift mutations, one missense mutation, and a splicing variant. The mean age at first seizure onset was 4 months. The first seizure type was infantile epileptic spasm (4/8) followed by tonic (2/8) and myoclonic seizures (2/8). Out of eight cases, four exhibited two stages epileptic course while epilepsy in three other patients progressed on three stages. Regarding development, most cases (6/8) had psychomotor retardation from the start whilst the two others showed psychomotor regression with the onset of seizures. Additional clinical features included visual impairment (7/8), tone abnormalities (7/8), stereotypies (7/8), and acquired microcephaly (6/8).SignificanceOur present report delineates an unusual phenotype of CDKL5‐related encephalopathy with male gender predominance and delayed onset epilepsy. It interestingly described new phenotypic features and uncommon benign developmental profiles in boys, different patterns of CDKL5‐epilepsy, neuroimaging findings, and CDKL5 mutational spectrum.
Bedload tracing with RFID tags in gravel‐bed rivers: Review and meta‐analysis after 20 years of field and laboratory experiments
Authors: Liébault Frédéric , Piégay Hervé , Cassel Mathieu , Arnaud Fanny 
Published: September 2023

AbstractSoon after their first deployment in rivers in the early 2000s, RFID tags rapidly became the reference technology for bedload tracing in rivers. We can estimate from the literature that during the last 20 years, more than 30,000 RFID tracers have been injected in gravel‐bed rivers all around the world to study bedload transport. Many field experiments have been reported in a great diversity of fluvial environments, complemented by many laboratory experiments and methodological developments. This paper proposes a review of these works, notably based on the compilation of more than 350 RFID surveys, complemented by 97 magnetic surveys, for a total of 125 study sites. The meta‐analysis of this database shows that RFID tracers have improved our understanding of sediment transport in fluvial environments with rapid bedload dispersion. It is also shown that central positions of tracer plumes are moving faster over time than tracer leading fronts, as attested by a general relation between maximum and mean distances of transport. The most recent methodological developments based on the use of active UHF RFID tags show that it is now possible to conduct efficient bedload tracing experiments not only in small streams, but also in large gravel‐bed rivers or very active braided channels. Other addressed topics include RFID deployment and survey in river channels, controlling factors of tracer mobility (flow conditions, grain‐size and shape, channel morphology), bedload monitoring approaches using RFID tracers, and applications of RFID tracers for evaluating human effects on bedload transport. Key challenges of bedload tracing with RFID tags are also proposed.
Efficient selfish node detection using SVM in IoT‐MANET environment
Authors: Ghosh Subhankar , Banerjee Anuradha , Sufian Abu , Gupta Sachin Kumar , Alsamhi S. H. , Saif Abdu 
Published: September 2023

AbstractThe communication between nodes in the Internet of Things‐based mobile ad‐hoc networks environment is typically dependent on their selfless attitude. Whenever a node needs to send a message to another node in the network, it needs the help of one or more nodes to act as a router(s) that will bridge the gap between the source and the destination. All these selfless forwarding's require energy, bandwidth, and other resources. Therefore, some routers often raise a link breakage attack to save their resources. They keep silent after receiving a message; neither they acknowledge it nor they forward it. These selfish nodes must be identified and carefully avoided while choosing routes; otherwise, numerous messages will have to be resent, including control messages like route‐request. The identification depends on the past behavior of the node as well as velocity, the direction of movement, current geographical location and so forth. This article presents a support vector machine‐based node classification method that checks whether nodes are intentionally issuing a link breakage attack or it is really out of the radio range of its predecessor. The simulation results of the proposed method demonstrate that the proposed technique can correctly detect most of the selfish activities in the network and that also in much lesser time. It also enhances the packet delivery ratio and reduces delay and energy consumption.
Antibiotic resistance and the COVID‐19 pandemic: A dual crisis with complex challenges in LMICs
Authors: Gulumbe Bashar Haruna , Sahal Muhammed Rabiu , Abdulrahim Abdulrakib , Faggo Abdullahi Adamu , Yusuf Zaharadeen Muhammad , Sambo Kabir Hassan , Usman Nazeef Idris , Bagwai Musbahu Abdullahi , Muhammad Wada Nafiu , Adamu Aliyu , Aminu Uzairu , Abubakar Munkaila Tirmizhi , Lawan Kadai Alhaji 
Published: September 2023

AbstractBackground and AimsAntimicrobial resistance (AMR), a global health crisis of mounting urgency, has been further complicated by the ongoing COVID‐19 pandemic. The intricate relationship between these two phenomena is especially pronounced in low‐ and middle‐income countries (LMICs) due to the distinct obstacles encountered by their healthcare systems and policy structures. This study aims to explore the complex challenges arising from the coexistence of these two crises in LMICs and proffer specific recommendations for holistic management.MethodsAn exhaustive bibliographic survey was executed, employing search queries in specialized databases such as PubMed, SCOPUS, and Web of Science's SCI‐EXPANDED index. The timeframe for the literature search extended from January 2020 to January 2023. The search strategy employed key terms including antibiotic resistance, AMR, COVID‐19 pandemic, low‐ and middle‐income countries, SARS‐CoV‐2, and LMICs.ResultsThe pandemic has aggravated various drivers of AMR in LMICs, including limited capabilities, weak frameworks, and socioeconomic factors. New challenges have emerged, such as disruptions in the antibiotic supply chain and an increased risk of healthcare‐associated infections. The interaction between these drivers presents a complex problem that demands a coordinated response. Specific recommendations include strengthening health systems, funding research and innovation, and enhancing infection prevention control measures.ConclusionThe coexistence of AMR and the COVID‐19 pandemic in LMICs demands an integrated approach involving multiple stakeholders. Emphasis must be placed on constructing aligned regulatory frameworks, nurturing regional collaborations, and focusing on accessible therapeutic options. The study underscores the necessity for actionable strategies to achieve sustainable access to clean water and sanitation and also highlights the importance of long‐term planning, funding, and specialized expertise in emerging modalities like phage therapy.