bluuebunny/crossref_metadata_2025 huggingface dataset:
Coherent multi-band MIMO radar: robustness analysis to SSMF-based RF signal delivery
Authors: Pandey Gaurav , Scaffardi Mirco , Maresca Salvatore , Haris Amir Malik Muhammad , Bogoni Antonella , Malacarne Antonio
Published: February 2024

A numerical evaluation is conducted to assess the impact of distributing radio frequency (RF) signals through optical fiber links on the performance of a coherent multi-band multiple-input multiple-output (MIMO) radar system. The analysis focuses on scenarios where the antennas are widely separated in comparison to the employed signal wavelengths. The development of a model to quantify the phase noise (PN) induced on each RF band due to the signal transmission through optical fiber links between the centralized base station and each radar peripheral is described. Monte Carlo simulation results are collected to estimate the key performance indicators (KPIs) for varying standard single-mode fiber (SSMF) length and different PN contributions. The main contributors to the PN are revealed to be chromatic dispersion (CD), double Rayleigh scattering (DRS), and mechanical vibrations. In a shipborne scenario, a significant performance degradation occurs only when the length of the fiber links reaches approximately 20 km. Further, the PN impact has also been studied in a shipborne scenario to analyze the robustness of the system for worse phase noise level assumptions. The results reveal excellent robustness of the proposed centralized acquisition and processing approach in the presence of both very long fiber links and economically employed RF oscillators.
High-performance multi-junction cascade 1.3 µm quantum dot vertical cavity surface-emitting laser
Authors: Ping Song , Bo Xue Yu , Liang Dong Hai , Gang Jia Zhi , Wei Jia , Jian Liang , Yong Wang Zhi , She Xu Bing
Published: February 2024

A high-performance 5-junction cascade quantum dot (QD) vertical cavity surface-emitting laser (VCSEL) with 1.3 µm wavelength was designed. The characteristics of the QD as active regions and tunnel junctions are combined to effectively increase output power. The photoelectric characteristics of single-junction, 3-junction cascade, and 5-junction cascade QD VCSELs are compared at continuous-wave conditions. Results indicate that the threshold current gradually decreases, and the output power and slope efficiency exponential increase with the increase of the number of active regions. The peak power conversion efficiency of 58.4% is achieved for the 5-junction cascade individual QD VCSEL emitter with 10 µm oxide aperture. The maximum slope efficiency of the device is 6.27 W/A, which is approximately six times than that of the single-junction QD VCSEL. The output power of the 5-junction cascade QD VCSEL reaches 188.13 mW at injection current 30 mA. High-performance multi-junction cascade 1.3-µm QD VCSEL provides data and theoretical support for the preparation of epitaxial materials.
Wearable strain sensor integrating mechanoluminescent fiber with a flexible printed circuit
Authors: Jiang Qinchuan , Liang Xifa , Chen Zhenshi , Zou Yang , Zhu Shuyan , Min Rui , Huang Quandong , Yang Zhiqiang , Li Zhaohui , Chen Qingming
Published: February 2024

This paper reports an optical strain sensor that integrates a self-powered mechanoluminescent (ML) elastic fiber with a flexible circuit. The inclusion of an alumina nanoparticle as the additive results in seven-fold enhancement of ML intensity while maintaining flexibility of 120% strain. The sensor facilitates the detection of strain and stretching speed. It attains a sensitivity of 0.0022 lx/(1% strain) and a resolution of 0.2% strain, respectively. We have successfully applied it to detect bending motions of the finger, wrist, and elbow. This wearable strain sensor holds promise for diverse applications in wearable technology.
The type IV pilus chemoreceptor PilJ controls chemotaxis of one bacterial species towards another
Authors: Yarrington Kaitlin D. , Shendruk Tyler N. , Limoli Dominique H.
Published: February 2024

Bacteria live in social communities, where the ability to sense and respond to interspecies and environmental signals is critical for survival. We previously showed the pathogen Pseudomonas aeruginosa detects secreted peptides from bacterial competitors and navigates through interspecies signal gradients using pilus-based motility. Yet, it was unknown whether P. aeruginosa utilizes a designated chemosensory system for this behavior. Here, we performed a systematic genetic analysis of a putative pilus chemosensory system, followed by high-speed live-imaging and single-cell tracking, to reveal behaviors of mutants that retain motility but are blind to interspecies signals. The enzymes predicted to methylate (PilK) and demethylate (ChpB) the putative pilus chemoreceptor, PilJ, are necessary for cells to control the direction of migration. While these findings implicate PilJ as a bona fide chemoreceptor, such function had yet to be experimentally defined, as full-length PilJ is essential for motility. Thus, we constructed systematic genetic modifications of PilJ and found that without the predicted ligand binding domains or predicted methylation sites, cells lose the ability to detect competitor gradients, despite retaining pilus-mediated motility. Chemotaxis trajectory analysis revealed that increased probability and size of P. aeruginosa pilus-mediated steps towards S. aureus peptides, versus steps away, determines motility bias in wild type cells. However, PilJ mutants blind to interspecies signals take less frequent steps towards S. aureus or steps of equal size towards and away. Collectively, this work uncovers the chemosensory nature of PilJ, provides insight into how cell movements are biased during pilus-based chemotaxis, and identifies chemotactic interactions necessary for bacterial survival in polymicrobial communities, revealing putative pathways where therapeutic intervention might disrupt bacterial communication.
Neighborhood characteristics and HIV treatment outcomes: A scoping review
Authors: Kimaru Linda Jepkoech , Habila Magdiel A. , Mantina Namoonga M. , Madhivanan Purnima , Connick Elizabeth , Ernst Kacey , Ehiri John
Published: February 2024

Recognizing challenges faced by people living with HIV is vital for improving their HIV treatment outcomes. While individual-level interventions play a crucial role, community factors can shape the impact of individual interventions on treatment outcomes. Understanding neighborhood characteristics’ association with HIV treatment outcomes is crucial for optimizing effectiveness. This review aims to summarize the research scope on the association between neighborhood characteristics and HIV treatment outcomes. The databases PubMed, CINAHL (EBSCOhost), Embase (Elsevier), and PsychINFO (EBSCOhost) were searched from the start of each database to Nov 21, 2022. Screening was performed by three independent reviewers. Full-text publications of all study design meeting inclusion criteria were included in the review. There were no language or geographical limitations. Conference proceedings, abstract only, and opinion reports were excluded from the review. The search yielded 7,822 publications, 35 of which met the criteria for inclusion in the review. Studies assessed the relationship between neighborhood-level disadvantage (n = 24), composition and interaction (n = 17), social-economic status (n = 18), deprivation (n = 16), disorder (n = 8), and rural-urban status (n = 7) and HIV treatment outcomes. The relationship between all neighborhood characteristics and HIV treatment outcomes was not consistent across studies. Only 7 studies found deprivation had a negative association with HIV treatment outcomes; 6 found that areas with specific racial/ethnic densities were associated with poor HIV treatment outcomes, and 5 showed that disorder was associated with poor HIV treatment outcomes. Three studies showed that rural residence was associated with improved HIV treatment outcomes. There were inconsistent findings regarding the association between neighborhood characteristics and HIV treatment outcomes. While the impact of neighborhood characteristics on disease outcomes is highly recognized, there is a paucity of standardized definitions and metrics for community characteristics to support a robust assessment of this hypothesis. Comparative studies that define and assess how specific neighborhood indicators independently or jointly affect HIV treatment outcomes are highly needed.
Expanding the DNA editing toolbox: Novel lambda integrase variants targeting microalgal and human genome sequences
Authors: Siau Jia Wei , Siddiqui Asim Azhar , Lau Sze Yi , Kannan Srinivasaraghavan , Peter Sabrina , Zeng Yingying , Verma Chandra , Droge Peter , Ghadessy John F.
Published: February 2024

Recombinase enzymes are extremely efficient at integrating very large DNA fragments into target genomes. However, intrinsic sequence specificities curtail their use to DNA sequences with sufficient homology to endogenous target motifs. Extensive engineering is therefore required to broaden applicability and robustness. Here, we describe the directed evolution of novel lambda integrase variants capable of editing exogenous target sequences identified in the diatom Phaeodactylum tricornutum and the algae Nannochloropsis oceanica. These microorganisms hold great promise as conduits for green biomanufacturing and carbon sequestration. The evolved enzyme variants show >1000-fold switch in specificity towards the non-natural target sites when assayed in vitro. A single-copy target motif in the human genome with homology to the Nannochloropsis oceanica site can also be efficiently targeted using an engineered integrase, both in vitro and in human cells. The developed integrase variants represent useful additions to the DNA editing toolbox, with particular application for targeted genomic insertion of large DNA cargos.
Mechanics of the foot and ankle joints during running using a multi-segment foot model compared with a single-segment model
Authors: Wager Justin C. , Challis John H.
Published: February 2024

The primary purpose of this study was to compare the ankle joint mechanics, during the stance phase of running, computed with a multi-segment foot model (MULTI; three segments) with a traditional single segment foot model (SINGLE). Traditional ankle joint models define all bones between the ankle and metatarsophalangeal joints as a single rigid segment (SINGLE). However, this contrasts with the more complex structure and mobility of the human foot, recent studies of walking using more multiple-segment models of the human foot have highlighted the errors arising in ankle kinematics and kinetics by using an oversimplified model of the foot. This study sought to compare whether ankle joint kinematics and kinetics during running are similar when using a single segment foot model (SINGLE) and a multi-segment foot model (MULTI). Seven participants ran at 3.1 m/s while the positions of markers on the shank and foot were tracked and ground reaction forces were measured. Ankle joint kinematics, resultant joint moments, joint work, and instantaneous joint power were determined using both the SINGLE and MULTI models. Differences between the two models across the entire stance phase were tested using statistical parametric mapping. During the stance phase, MULTI produced ankle joint angles that were typically closer to neutral and angular velocities that were reduced compared with SINGLE. Instantaneous joint power (p<0.001) and joint work (p<0.001) during late stance were also reduced in MULTI compared with SINGLE demonstrating the importance of foot model topology in analyses of the ankle joint during running. This study has highlighted that considering the foot as a rigid segment from ankle to MTP joint produces poor estimates of the ankle joint kinematics and kinetics, which has important implications for understanding the role of the ankle joint in running.
Comparing the effect of intravenous versus intracranial grafting of mesenchymal stem cells against parkinsonism in a rat model: Behavioral, biochemical, pathological and immunohistochemical studies
Authors: Essawy Essawy Amina , Abou-ElNaga Oryhan Aly , Mehanna Radwa Ali , Badae Noha Mohammed , Elsawy Eman Sheta , Soffar Ahmed Abdelmagied
Published: February 2024

Parkinson’s disease (PD) is one of the most common neurodegenerative diseases worldwide. Currently applied therapeutic protocols are limited to improve the motor functions of patients. Therefore, seeking alternative regimes with better therapeutic impact is crucial. This study aims to validate the therapeutic impact of mesenchymal stem cell injection using two delivery methods, intracranial administration and intravenous administration, on rotenone (ROT)-induced PD model in rats. Our work included behavioral, biochemical, histological, and molecular investigations. Open field test (OFT) and rotarod tests were applied. Important oxidative stress, antioxidant and proinflammatory markers were monitored. Substantia Nigra and Striatum tissues were examined histologically and the molecular expression of DOPA decarboxylase, Tyrosine hydroxylase, and α-synuclein in neurons in these tissues were investigated. Our results showed that MSC grafting improved motor and memory impairments and oxidative stress status that were observed after ROT administration. Additionally, BM-MSCs application restored SOD and CAT activities and the levels of DA, L-Dopa, IL6, IL1β, and TNFα. Moreover, MSC grafting overwhelmed the pathological changes induced by ROT and normalized the expression of Tyrosine hydroxylase, DOPA decarboxylase, and α-synuclein towards the control values in the Nigral and Striatal tissues of male rats. Conclusively, both administration routes improved motor function, protection of the nigrostriatal system, and improved striatal dopamine release. The observed beneficial effect of applying MSCs suggests potential benefits in clinical applications. No significant differences in the outcomes of the treatment would favor a certain way of MSC application over the other. However, the intravenous delivery method seems to be safer and more feasible compared to the intrastriatal method.
Pediatric anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis: Exploring psychosis, related risk factors, and hospital outcomes in a nationwide inpatient sample: A cross-sectional study
Authors: Jaka Sanobar , Singh Sukhnoor , Vashist Sreshatha , Pokhrel Sandesh , Saldana Ericka , Sejdiu Albulena , Taneja Sanjana , Arisoyin Abimbola , Mogallapu Raja , Gunturu Sasidhar , Bachu Anil , Patel Rikinkumar S.
Published: February 2024

Objective

Our study aims to examine the risk factors for comorbid psychosis in pediatric patients hospitalized for anti-N-methyl-d-aspartate receptor (NMDAR) encephalitis and its impact on hospital outcomes.

Methods

We conducted a cross-sectional study using the nationwide inpatient sample (NIS 2018–2019). We included 3,405 pediatric inpatients (age 6–17 years) with a primary discharge diagnosis of anti-NMDAR encephalitis. We used binomial logistic regression model to evaluate the odds ratio (OR) of variables (demographic and comorbidities) associated with comorbid psychosis.

Results

The prevalence of comorbid psychosis in anti-NMDAR encephalitis inpatients was 5.3%, and majorly constituted of adolescents (72.2%) and females (58.3%). In terms of race, Blacks (OR 2.41), and Hispanics (OR 1.80) had a higher risk of comorbid psychosis compared to Whites. Among comorbidities, encephalitis inpatients with depressive disorders (OR 4.60), sleep-wake disorders (OR 3.16), anxiety disorders (OR 2.11), neurodevelopmental disorders (OR 1.95), and disruptive behavior disorders (OR 2.15) had a higher risk of comorbid psychosis. Anti-NMDAR encephalitis inpatients with comorbid psychosis had a longer median length of stay at 24.6 days (vs. 9.8 days) and higher median charges at $262,796 (vs. $135,323) compared to those without psychotic presentation.

Conclusion

Adolescents, females, and Blacks with encephalitis have a higher risk of psychotic presentation leading to hospitalization for anti-NMDAR encephalitis. Identification of demographic predictors and comorbidities can aid in early recognition and intervention to optimize care and potentially reduce the healthcare burden.
Institutional capacity assessment in the lens of implementation research: Capacity of the local institutions in delivering WASH services at Cox’s Bazar district, Bangladesh
Authors: Rahman Mahbubur , Alam Mahbub-Ul , Luies Sharmin Khan , Ferdous Sharika , Mamun Zahidul , Rahman Musarrat Jabeen , Biswas Debashish , Ananya Tazrina , Asadullah  , Kamal Abul , Chowdhury Ritthick , Khan Eheteshamul Russel , Johnston Dara , Worth Martin , Daisy Umme Farwa , Ahmed Tanvir
Published: February 2024

Background

The influx of Forcibly Displaced Myanmar Nationals (FDMNs) has left the Southwest coastal district of Cox’s Bazar with one of the greatest contemporary humanitarian crises, stressing the existing water, sanitation, and hygiene (WASH) resources and services. This study aimed to assess the existing capacity of local institutions involved in delivering WASH services and identify relevant recommendations for intervention strategies.

Methods

We used a qualitative approach, including interviews and capacity assessment workshops with institutions engaged in WASH service delivery. We conducted five key informant interviews (KII) with sub-district level officials of the Department of Public Health Engineering (DPHE), Directorate General of Health Services (DGHS), Directorate of Primary Education (DPE) and Bangladesh Rural Advancement Committee (BRAC) to have a general idea of WASH service mechanisms. Seven capacity assessment workshops were organized with the relevant district and sub-district level stakeholders from August 2019 to September 2019. These workshops followed three key areas: i) knowledge of policy, organizational strategy, guidelines, and framework; ii) institutional arrangements for service delivery such as planning, implementation, coordination, monitoring, and reporting; and iii) availability and management of human, financial and infrastructural resources. Data were categorized using thematic content analysis.

Results

The majority of stakeholders lacked awareness of national WASH policies. Furthermore, the top-down planning approaches resulted in activities that were not context-specific, and lack of coordination between multiple institutions compromised the optimal WASH service delivery at the local level. Shortage of human resources in delivering sustainable WASH services, inadequate supervision, and inadequate evaluation of activities also required further improvement, as identified by WASH stakeholders.

Conclusion

Research evidence suggests that decision-makers, donors, and development partners should consider learning from the WASH implementers and stakeholders about their existing capacity, gaps, and opportunities before planning for any WASH intervention in any particular area.
Potential efficacy of caffeine ingestion on balance and mobility in patients with multiple sclerosis: Preliminary evidence from a single-arm pilot clinical trial
Authors: Dadvar Afsoon , Jameie Melika , Azizmohammad Looha Mehdi , Parsaei Mohammadamin , Zeynali Bujani Meysam , Amanollahi Mobina , Babaei Mahsa , Khosravi Alireza , Amirifard Hamed
Published: February 2024

Objectives

Caffeine’s potential benefits on multiple sclerosis (MS), as well as on the ambulatory performance of non-MS populations, prompted us to evaluate its potential effects on balance, mobility, and health-related quality of life (HR-QoL) of persons with MS (PwMS).

Methods

This single-arm pilot clinical trial consisted of a 2-week placebo run-in and a 12-week caffeine treatment (200 mg/day) stage. The changes in outcome measures during the study period (weeks 0, 2, 4, 8, and 12) were evaluated using the Generalized Estimation Equation (GEE). The outcome measures were the 12-item Multiple Sclerosis Walking Scale (MSWS-12) for self-reported ambulatory disability, Berg Balance Scale (BBS) for static and dynamic balance, Timed Up and Go (TUG) for dynamic balance and functional mobility, Multiple Sclerosis Impact Scale (MSIS-29) for patient’s perspective on MS-related QoL (MS-QoL), and Patients’ Global Impression of Change (PGIC) for subjective assessment of treatment efficacy. GEE was also used to evaluate age and sex effect on the outcome measures over time. (Iranian Registry of Clinical Trials, IRCT2017012332142N1).

Results

Thirty PwMS were included (age: 38.89 ± 9.85, female: 76.7%). Daily caffeine consumption significantly improved the objective measures of balance and functional mobility (BBS; P-value<0.001, and TUG; P-value = 0.002) at each study time point, and the subjective measure of MS-related QoL (MSIS-29; P-value = 0.005) two weeks after the intervention. Subjective measures of ambulatory disability (MSWS-12) and treatment efficacy (PGIC) did not significantly change. The effect of age and sex on the outcome measures were also assessed; significant sex-time interaction effects were found for MSWS-12 (P-value = 0.001) and PGIC (P-value<0.001). The impact of age on BBS scores increased as time progressed (P-value = 0.006).

Conclusions

Caffeine may enhance balance, functional mobility, and QoL in PwMS. Being male was associated with a sharper increase in self-reported ambulatory disability over time. The effects of aging on balance get more pronounced over time.

Trial registration

This study was registered with the Iranian Registry of Clinical Trials (Registration number:IRCT2017012332142N1), a Primary Registry in the WHO Registry Network.
Estimating infection prevalence using the positive predictive value of self-administered rapid antigen diagnostic tests: An exploration of SARS-CoV-2 surveillance data in the Netherlands from May 2021 to April 2022
Authors: Gorgels Koen M.F. , van Iersel Senna C.J.L. , Keijser Sylvia F.A. , Hoebe Christian J.P.A. , Wallinga Jacco , van Hoek Albert J.
Published: February 2024

Measuring the severity of the disease of SARS-CoV-2 is complicated by the lack of valid estimations for the prevalence of infection. Self-administered rapid antigen diagnostic tests (Ag-RDTs) were available in the Netherlands since March 2021, requiring confirmation by reverse-transcription polymerase chain reaction (RT-PCR) for positive results. We explored the possibility of utilizing the positive predictive value (PPV) of Ag-RDTs to estimate SARS-CoV-2 prevalence. We used data from all Public Health service testing facilities between 3 May 2021 and 10 April 2022. The PPV was calculated by dividing the number of positive RT-PCR results by the total number of confirmation tests performed, and used to estimate the prevalence and compared with the number of COVID-19 hospital admissions. In total 3,599,894 cases were included. The overall PPV was 91.8% and 88.8% were symptomatic. During our study period, the estimated prevalence ranged between 2–22% in symptomatic individuals and 2–14% in asymptomatic individuals, with a correlation between the estimated prevalence and hospital admissions two weeks later (r = 0.68 (p<0.01) and r = 0.60 (p<0.01) for symptomatic/asymptomatic individuals). The PPV of Ag-RDTs can help estimate changes in SARS-CoV-2 prevalence, especially when used in conjunction with other surveillance systems. However, the used method probably overestimated the true prevalence because of unmonitored differences in test propensity between individuals.
Effect of TEOS on the rheological properties of polyvinylidene fluoride and poly(vinylidene fluoride-co-hexafluoropropylene)
Authors: Abid Monis Bin , Gzara Lassaad , Moujdin Iqbal Ahmed , Salam Mohamed Abdel , Wahab Roswanira Abdul
Published: February 2024

The influence of TEOS on the rheological properties of PVDF and poly(vinylidene fluoride-co-hexafluoropropylene) was investigated. The addition of TEOS to low molecular weight PVDF results in pseudoplastic behavior. The exception is PVDF containing 5 wt%. TEOS, which shows dilation behavior. Similar behavior has high molecular weight PVDF with the addition of 2 wt.% TEOS and low molecular weight copolymer with and without TEOS. The influence of temperature on the viscosity and activation energy of the tested PVDF solutions and the influence of TEOS on the average molecular weight were also examined.
Statistical modelling of aquatic size spectra: integrating data from multiple taxa and sampling methods
Authors: Giacomini Henrique Corrêa , de Kerckhove Derrick T. , Kopf Victoria , Chu Cindy
Published: February 2024

Size spectra are used to assess the status and functioning of marine and freshwater ecosystems worldwide. Their use is underpinned by theory linking the dynamics of trophic interactions to a power-law decline of abundance with body size in ecological communities. Recent papers on empirical size spectrum estimation have argued for Maximum Likelihood Estimation of power-law probability distributions as a more accurate alternative to traditional linear regression approaches. One major limitation of currently used size spectrum estimators from Maximum Likelihood Estimation is that they cannot account for the use of multiple sampling protocols, nor the distortions caused by gear size selectivity, and therefore they become restricted to a relatively narrow taxonomic group and size range. Further progress in the field requires new methods that are flexible enough to combine multiple trophic groups and sampling gears into a single size spectrum estimate, while taking advantage of more accurate distributional approaches. The method we propose in this paper fills this gap by deriving the distribution of observed sizes explicitly from the underlying power-law spectrum and gear selectivity functions. It specifies likelihoods as a product of two components: (i) the probability of belonging to a given group and (ii) the probability distribution within the group. Using Bayesian estimation, we applied the method to surveys of phytoplankton, zooplankton, and fishes in lakes of Quetico Provincial Park, northwestern Ontario, using Van Dorn samplers, zooplankton nets, gillnets, and hydroacoustics. The results show that the spectra estimated from subsets of trophic groups or gears are weak predictors of more complete spectra, highlighting the importance of using more inclusive community data. The two-component partitioning of likelihoods also helped demonstrate the existence of between-group spectrum slopes that were overall steeper than within-group slopes, indicating that heterogeneity of trophic transfers across the size spectrum is an important factor structuring these ecosystems.
Integrating the local knowledge of fishers into an ecological model for the sustainable management of a protected coastal lagoon area in Uruguay
Authors: Malfatti Francisco , Lercari Diego , Bergamino Leandro
Published: February 2024

This study uses the local knowledge of artisanal fishers to assess ecosystem structure, functioning, and fishing impacts within a coastal lagoon in Uruguay. To this end, we used an Ecopath with Ecosim modelling approach based on fishers’ knowledge and scientific data. The model considered 23 functional groups, while three fleets represented fishing activities targeting different species. The model output shows a foodweb which spans four trophic levels, including fish species as top predators, such as the flatfish Paralichthys orbignyanus and the tararira Hoplias malabaricus. Furthermore, according to fishers’ knowledge, gastropods, polychaetes, and bivalves constitute primary consumers, while detritus and phytoplankton represent the primary food sources. The trophic impact analysis shows that the fish Mugil spp. and Odontesthes spp. generate important positive and negative impacts on most other ecosystem components, while fishing impacts occur at moderate exploitation levels on the targeted fish species. The indicators of the ecosystem effects of fishing including The Trophic Level of the Catch ranging from 2.4 to 2.6, the Primary Production Required showing relative low values of 2.3% and low probability of an ecosystem being sustainably fished alert us to the risk of ecosystem-level overfishing. The vast potential of fishers’ knowledge in research can allow the co-creation of new insights into ecosystem structure and function. By including fishers in research, local communities can be empowered and benefit from management decisions through their trust in science.
A qualitative examination of (political) media diets across age cohorts in five countries
Authors: Hopmann David Nicolas , Stępińska Agnieszka , Stanyer James , Halagiera Denis , Terren Ludovic , Gehle Luisa , Meltzer Christine E. , Buturoiu Raluca , Corbu Nicoleta , Cardenal Ana S. , Schemer Christian
Published: February 2024

In recent research, the concept of “media diets” has received increased attention. However, the concept remains vague and not fully developed, and rarely, if at all, do researchers ask citizens about their perceptions of their own and others’ media diets. With the ongoing transformation of the media landscape, there has never been a more pertinent time to explore these perceptions, which this research intends to do. The main goal of this paper then is to identify recommendations addressing recently voiced concerns about news consumption patterns in contemporary society to relevant stakeholders. Empirically, the study is based on a series of focus group interviews with younger (18–25 years old) and older (over 55) adults in five European countries (Germany, Poland, Romania, Spain, and the UK). Our results show important cohort differences as well as cross-country similarities, which are pertinent insights for the formulation of stakeholder recommendations.
Synthesis of Lawsonia inermis-encased silver–copper bimetallic nanoparticles with antioxidant, antibacterial, and cytotoxic activity
Authors: Ragavendran Chinnasamy , Kamaraj Chinnaperumal , Natarajan Devarajan , Al-Ghanim Khalid A. , Magesh Mohan , Nicoletti Marcello , Govindarajan Marimuthu
Published: February 2024

The extract of the medicinal plant Lawsonia inermis, known as henna, was employed to synthesize silver–copper bimetallic nanoparticles (Ag–Cu NPs) in a unique, efficient, and cost-effective method. The shape, size, and structural features of synthesized Ag–Cu NPs were determined by ultra–visible spectroscopy, Fourier transform infrared spectroscopy, X-ray diffractometer, field emission scanning electron microscopy, transmission electron microscopy, and energy dispersive X-ray spectroscopy methods. The rod-shaped Ag–Cu nanoparticles, averaging 41.66 ± 17.18 nm in size, synthesized from L. inermis, exhibited potent antioxidant activity by inhibiting 2,2-diphenyl-1-picrylhydrazyl and 2,2′-azinobis (3-ethylbenzothiazoline-6-sulfonic acid) free radicals. They also displayed significant antibacterial effects against Pseudomonas aeruginosa (28 mm), Staphylococcus aureus (27 mm), Bacillus cereus (26 mm), and Escherichia coli (24 mm). Additionally, these nanoparticles induced notable morphological changes in cancer cells and demonstrated promising cytotoxicity against MDA-MB-231 tumor cells (IC50 = 37.40 µg·mL−1). However, they exhibited biotoxicity in Artemia nauplii, resulting in mortality rates ranging from 3.0% to 32.5%. The LC50 and LC90 values recorded for a 48-h exposure were 1.51 mg·L−1 and 2.59 mg·L−1, respectively. These findings highlight the potential application of L. inermis-derived Ag–Cu NPs in pharmacology and bio-nanomedicine.
Flexible variable selection in the presence of missing data
Authors: Williamson Brian D. , Huang Ying
Published: February 2024

In many applications, it is of interest to identify a parsimonious set of features, or panel, from multiple candidates that achieves a desired level of performance in predicting a response. This task is often complicated in practice by missing data arising from the sampling design or other random mechanisms. Most recent work on variable selection in missing data contexts relies in some part on a finite-dimensional statistical model, e.g., a generalized or penalized linear model. In cases where this model is misspecified, the selected variables may not all be truly scientifically relevant and can result in panels with suboptimal classification performance. To address this limitation, we propose a nonparametric variable selection algorithm combined with multiple imputation to develop flexible panels in the presence of missing-at-random data. We outline strategies based on the proposed algorithm that achieve control of commonly used error rates. Through simulations, we show that our proposal has good operating characteristics and results in panels with higher classification and variable selection performance compared to several existing penalized regression approaches in cases where a generalized linear model is misspecified. Finally, we use the proposed method to develop biomarker panels for separating pancreatic cysts with differing malignancy potential in a setting where complicated missingness in the biomarkers arose due to limited specimen volumes.
Liner multimode fibers with high distributed optical amplification system based high efficient quadrature modulation system for reliable high capacity local area network
Authors: Thandaiah Prabu Ramachandran , Mandhala Venkata Naresh , Ramya Mohanraj , Mallan Srinivasan , Shibu Soman , Arumugam Parimala , Hemadan Ayman Zain
Published: February 2024

This paper clarified the liner multimode fibers with high optical amplification system based high efficient quadrature modulation system for high capacity local area optical networks. The clarified the lighted QPSK transmitter system based linear multimode fiber profile is clarified under modal bandwidth effects. The optimum power variations are studied with spectral base band wavelength variations for various modal bandwidths based linear multimode fiber. Optimum power is clarified with time variations for various modal bandwidths based linear multimode fiber. Total power for 1500 and 1700 MHz km modal bandwidth is demonstrated based linear multimode fiber. The Max-Min signal base band amplitude based QAM pulse generator is clarified after photo-detector by using electrical constellation visualizer. The optimum Q Factor form with Min BER is demonstrated after photo-detector for 1300, 1500, and 1700 MHz km modal bandwidth based linear multimode fiber. The base band lighted SNR is clarified and simulated with the modal bandwidth variations based linear multimode fiber. Optimum Q form factor through photo-detector is demonstrated with the modal bandwidth variations based linear multimode fiber. The electrical SNR through photo-detector is studied and simulated with the modal bandwidth variations based linear multimode fiber.
Pressure ulcers in German hospitals: Analysis of reimbursement and length of stay
Authors: Lahmann Nils , Mayer Martha Feh , Posnett John
Published: February 2024

Objective

Hospital-acquired pressure ulcers are an important indicator of the quality of care. Most pressure ulcers are avoidable with a robust protocol for prevention, but prevention activities often have a low priority for senior management because the true costs to the hospital are not visible. Our aim was to raise awareness of the value of pressure ulcer prevention by estimating the excess length of inpatient stay associated with hospital-acquired pressure ulcers, and by assessing whether additional costs are covered by increased reimbursement.

Methods

National activity data for hospitals in Germany are available through the InEK Data Browser. Data were extracted covering discharges from German hospitals between January 1 and December 31, 2021. Cases were selected according to the presence of a pressure ulcer diagnosis using ICD-10-GM codes L89.0–L89.3. Information was extracted for the ten most common German Diagnosis-Related Group (G-DRG) codes in patients with a secondary pressure ulcer diagnosis on mean length of stay and average reimbursement. Ulcer-associated excess length of stay was estimated by comparing cases within the same G-DRG with and without a pressure ulcer diagnosis.

Results

Mean length of stay was higher in patients with a pressure ulcer than in patients with no ulcer by between 1.9 (all ages) and 2.4 days (patients aged ≥65) per case. In patients aged ≥65 years, 22.1% of cases with a pressure ulcer had a length of stay above the norm for the DRG. In the German system length of stay above the norm is not normally reimbursed. Excess length of stay between 1.9 and 2.4 days leads to a potential cost to a hospital of between 1,633€ and 2,074€ per case.

Conclusion

Hospital-acquired pressure ulcers represent an important source of cost for a hospital which highlights the potential value of effective prevention.
Flow and irreversible mechanism of pure and hybridized non-Newtonian nanofluids through elastic surfaces with melting effects
Authors: Hashim  , Rehman Sohail , Akermi Mehdi , Nasr Samia
Published: February 2024

The significance of nanofluid research in nanotechnology, pharmaceutical, drug delivery, food preparation, and chemotherapy employing single- and two-phase nanofluid models has drawn the attention of researchers. The Tiwari–Das model does not capture the diffusion and random movement of nanoparticles (NPs) when they are injected into complex functional fluids. In order to fix the peculiar behavior of NPs, more complex models like the Buongiorno model are coupled with the single-phase model. To examine the heat-mass transfer attributes of nanofluids, a single- and two-phase mixture model is coupled for the first time. The effect of hybrid NPs on the hemodynamic properties of the blood flow through a stretched surface with interface slip in the neighborhood of the stagnation point is examined. Due to their significance in medicinal uses and nominal toxicity, blood is loaded with zinc–iron (

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NPs. However, blood is speculated to have the hematocrit viscosity of the Powell–Eyring fluid. The single-phase model predicts an improvement in heat transport due to an increased volumetric friction of NPs, while the two-phase models provide closer estimates of heat-mass transfer due to Brownian and thermophoretic phenomena. Entropy evaluation predicts the details of irreversibility. The mathematical structures are effectively solved with a Runge–Kutta fourth-order algorithm along with a shooting mechanism. The Eyring–Powell parameters decrease the drag coefficient and mass/thermal transport rate. A higher estimation of the slip, material, and magnetic parameters decreases the flow behavior. The Bejan number increases with the diffusion parameter and decreases as the magnetic and Brinkman numbers increase. The effect of iron oxide

(
F

e

2

O

3

)

\left({\rm{F}}{{\rm{e}}}_{2}{{\rm{O}}}_{3})

is observed to be dominant.
Production and radiochemical separation of 68Ge from irradiated Ga–Ni alloy target in 30 MeV cyclotron
Authors: Chattopadhyay Sankha , Singha Samarjit , Ash Shayantani , Barua Luna , Mahesh Devaraj G. , SahaDas Sujata , Madhusmita  , Alam Md. Nayer , Kumar Umesh , Roy Suprakash , Dhang Prosenjit , Dey Santu
Published: February 2024

Gallium-68 [t
1/2: 67.7 min, β+ (89 %)] has application in PET imaging mainly for prostate cancer and neuroendocrine tumours. Gallium-68 is generally obtained from a 68Ge/68Ga generator. It is therefore an important task to prepare 68Ge (t
1/2 = 271 days) radiochemical for the manufacture of 68Ge/68Ga generator to cater for the needs of various nuclear medicine centres. Germanium-68 has been produced successfully after irradiation of indigenously developed Ga–Ni targets in a 30 MeV cyclotron and chemical processing of the irradiated targets using an indigenous semi-automated module. The Ga–Ni targets were prepared by an electroplating method. The 68Ge has been radiochemically separated from irradiated Ga–Ni targets using Sephadex G-25 column chromatography. The chemical separation yield and radionuclidic purity of 68Ge were about 70 % (n = 3) and about 98.3 % (n = 3), respectively.
Theoretical analysis of light and heavy-ion induced reactions: production of medically relevant 97Ru
Authors: Sagwal Malvika , Maiti Moumita
Published: February 2024

97Ru is a key radionuclide sought for diagnostic imaging due to its low-energy and intense γ-rays of 215.7 keV and 324.5 keV. New reaction routes to produce this radionuclide are constantly being investigated. A crucial step in carrying out such reactions is a reliable beforehand estimate of the production cross section of radionuclide and optimization conditions through robust theoretical frameworks. Existing literature on α + 95Mo reaction has been freshly examined to understand the excitation function of 97Ru. The data have been compared to other reactions of different projectiles on medium-mass targets. The reaction codes pace4, empire-3.2.2, and talys-1.96 have been employed to decipher the reaction mechanism and check the predictive ability of underlying theoretical models. The yield of 97Ru at different projectile energies and thick target yield in the optimum energy range has also been determined from the theoretical modeling.
Radiochemical and chemical characterization of fuel, salt, and deposit from the electrorefining of irradiated U-6 wt% Zr in hot cells
Authors: Sankar Dwarapudi Bola , Seshadri Rajeswari , Thirunavukkarasu Kalaiyarasu , Pakhui Gurudas , Rao Jakkula Siva Brahmaji , Bera Suranjan , Sreenivasulu Balija , Radhakrishnan Kumaresan , Manoravi Periasamy , Jayaraman Venkataraman
Published: February 2024

Metal fuels are considered as the promising candidates for future fast breeder reactors. Pyro-chemical reprocessing is the ideal method for reprocessing spent metallic fuels due to the inherent process advantages. Electrorefining run was demonstrated in a hot cell facility with irradiated U-6 wt% Zr alloy at 500 °C using LiCl–KCl eutectic melt. In order to understand the behavior of the actinides and various fission products during high-temperature electrolysis, various process streams, viz., irradiated metal alloy fuel, the eutectic salt, and the cathode deposit were analyzed for the uranium, plutonium, and other fission product contents. Various methods employed for characterizing the process streams and the behaviors of some of the fission products during the electrolysis process are highlighted. The major gamma emitting radionuclides present in the irradiated fuel were 106Ru, 125Sb, 134Cs, 137Cs, 144Ce, and 154Eu. During electrorefining, cesium, cerium and europium were oxidized and dissolved in the molten media, whereas ruthenium and antimony remained in the anode basket. A minor contamination of zirconium was found in the cathode deposit.
Preparation of [64Cu]Cu–NOTA complex as a potential renal PET imaging agent using 64Cu produced via the direct activation route
Authors: Patra Sourav , Jadhav Sachin , Shetty Priyalata , Singh Khajan , Rajeswari Ardhi , Vimalnath K. V. , Chakraborty Avik , Chakravarty Rubel , Chakraborty Sudipta
Published: February 2024

Glomerular filtration rate (GFR) could be determined more accurately using renal positron emission tomography (PET) than conventional gamma imaging. Copper-64 [T
½ = 12.7 h, E
β+ (max) = 653 keV, β+ branching ratio = 17.8 %, 1346 keV γ-photon (0.54 %), EC (43.8 %), β− emission (38.4 %)] in the form of its hydrophilic complex with 1,4,7-triazacyclononane-1,4,7-triacetic acid (NOTA) is proposed as a potent formulation for renal PET imaging. A lyophilized kit was developed for formulation of ∼370 MBq dose of [64Cu]Cu–NOTA complex in a facile single step process using 64Cu produced by thermal neutron activation in a research reactor. The complex could be synthesized with >99 % yield and retained its integrity even when challenged by apoferritin. The rapid accumulation of [64Cu]Cu–NOTA in the kidney and clearance through urinary path was demonstrated using PET/CT imaging and ex vivo biodistribution study carried out in healthy Wistar rats to elucidate its effectiveness as a renal PET-imaging agent.
Muscle Fiber Cross-Sectional Area Is Associated With Quadriceps Strength and Rate of Torque Development After ACL Injury
Authors: Graham Megan C. , Thompson Katherine L. , Hawk Gregory S. , Fry Christopher S. , Noehren Brian
Published: February 2024

Graham, MC, Thompson, KL, Hawk, GS, Fry, CS, and Noehren, B. Muscle fiber cross-sectional area is associated with quadriceps strength and rate of torque development after ACL injury. J Strength Cond Res 38(6): e273–e279, 2024—The purpose of this study was to investigate the relationship between muscle fiber type–specific properties of the vastus lateralis and quadriceps muscle performance in individuals after an anterior cruciate ligament (ACL) tear. 26 subjects (22.0 ± 5.4 years) were included in this cross-sectional study, and all data were collected before ACL reconstruction. Quadriceps peak torque (QPT) and early (0–100 ms) and late (100–200 ms) rate of torque development (RTD) were obtained from maximal voluntary isometric quadriceps strength testing. Muscle fiber cross-sectional area (fCSA) and percent fiber type distribution (FT%) were evaluated through immunohistochemical analysis of a muscle biopsy. Between-limb differences in fiber characteristics were assessed using paired t-tests (with α-level 0.05). Relationships between fiber-specific properties and quadriceps muscle performance were determined using separate multiple linear regression analyses for ACL-injured and noninjured limbs. There were significant differences in fCSA between ACL-injured and noninjured limbs across all fiber types, but no differences in FT%. Type 1 fCSA, type 2a fCSA, and their interaction effect were the explanatory variables with the strongest relationship to all performance outcomes for the ACL-injured limb. The explanatory variables in the ACL-injured limb had a significant relationship to QPT and late RTD, but not early RTD. These findings suggest that QPT and late RTD are more heavily influenced by fCSA than FT% in ACL-injured limbs. This work serves as a foundation for the development of more specific rehabilitation strategies aimed at improving quadriceps muscle function before ACL reconstruction or for individuals electing nonsurgical management.
Big Data Anomaly Prediction Algorithm of Smart City Power Internet of Things Based on Parallel Random Forest
Authors: Zheng Sida , Cheng Jie , Xiong Hongzhang , Wang Yanjin , Wang Yuning
Published: February 2024

Conventional power data prediction algorithms easily lead to the loss of key power data in a complex wireless network environment. Therefore, a power big data anomaly prediction algorithm based on parallel random forest is proposed. According to the power big data anomaly prediction algorithm based on parallel random forest, a network power big data anomaly prediction algorithm platform is established, and based on the platform, key data features such as user address and power transmission packet structure are extracted according to the category of power users. According to the relationship between power shunt function value and power data unit density, the parameter value of the system and finally the reasonable anomaly prediction of power big data in wireless network are determined. Finally, filter the classified data through attribute reduction and gene expression programming algorithm to obtain the data to be encrypted and complete the research on the anomaly prediction algorithm of power big data. Experimental results show that the proposed algorithm has better prediction performance and can ensure better data prediction effect.