bluuebunny/crossref_metadata_2025_split huggingface dataset:
“I don't think I took her fears seriously”: Exploring the experiences of family members of individuals at‐risk of developing psychosis over 12 months
Authors: Izon Emma , Berry Katherine , Law Heather , Shiers David , French Paul 
Published: May 2020

AbstractIndividuals with an at‐risk mental state (ARMS) of psychosis experience high levels of distress, anxiety, low mood, and suicidal ideation. Families of ARMS individuals provide significant support but are often neglected by services. This study is the first of its kind to use a novel longitudinal qualitative methodology to directly compare family/carers' earlier experiences supporting ARMS individuals to 12 months later. This provides a more ecologically valid insight into how perceptions change over time and how family/carers adapt. Semistructured interviews were conducted with 10 family/carers at two points within a 12‐month period. This study was embedded within a randomized control trial, the Individual and Family Cognitive Behavioural Therapy trial. Interview transcripts were analysed using thematic analysis, with a focus on how experiences and reactions for family/carers changed over time. Over 12 months, four factors were important for family/carers to facilitate their caring role. These were summarized in the thematic map (LACE model): Looking after your own well‐being; Accessing additional support from family intervention; Communicating openly with the individual; and Engaging with services for the individual. All four aspects of the model were important in improving family communication, meeting family/carers' unmet needs, and helping them to feel more confident and less isolated in their carer role. Novel implications suggest that when feasible, services should involve family/carers of ARMS individuals in sessions and explore family/carer support strategies in managing their own distress. The most significant insight was the need to develop family/carer resources to educate, normalize, and validate their own experiences.
Throughput enhancement of cognitive M2M networks based on NOMA for 5G communication systems
Authors: EL‐Mokadem Eslam Samy , El‐Kassas Ahmed Mahmoud , Elgarf Talaat A. , El‐Hennawy Hadia 
Published: May 2020

SummaryOne of the promising technologies for 5G cellular networks is machine‐to‐machine (M2M) communications. We propose a cognitive radio network (CR) that includes a primary cellular system and a secondary cognitive system. The primary cellular system has a primary client (PC) and the secondary cognitive system has M2M clients which are called secondary clients (SCs). In a conventional system of CR network based on orthogonal frequency division multiple access (CR‐OFDMA), when the primary client (PC) is absent, only one SC can obtain the idle spectrum. But, the SC must leave the spectrum when detecting the existence of the PC. So, the spectrum usage of this system is very low. This paper proposes a cooperative CR network based on nonorthogonal multiple access (CCR‐NOMA) for spectrum sensing using energy detection (ED) to allow multiple SCs to share the same frequency at the same time, but are differentiated according to the power domain or code domain, to improve spectrum efficiency of 5G communications and the transmission performance of CR network at the absence and presence of the PC. To evaluate the channel sensing performance of the ED technique in CCR‐NOMA, we derived a closed‐form expression between the achievable throughput and sensing time for the CCR‐NOMA system. The same analysis for the case of CR‐OFDMA is reproduced for the sake of comparison. The analysis showed that the CR‐NOMA system for M2M communication outperforms the CR‐OFDMA system for M2M communication for the same noncooperative and cooperative spectrum sensing and physical layer parameters.
Characterization of a novel polymeric prodrug of an antibacterial agent synthesized by mechanochemical solid‐state polymerization
Authors: Yamauchi Yukinori , Doi Naoki , Kondo Shin‐ichi , Sasai Yasushi , Kuzuya Masayuki 
Published: June 2020

AbstractPolycrystalline methacryloyl monomers of the antibacterial drug nalidixic acid with an anhydride bond to the drug carboxyl group were prepared. The physicochemical properties of the synthesized vinyl monomer were characterized using X‐ray powder diffraction, thermal analysis, and polarized light microscopy measurements. Mechanochemical solid‐state polymerization of the resulting monomers was carried out to yield a novel polymeric prodrug. The in vitro hydrolysis behavior of the polymeric prodrug indicated that the release rate of drug from the polymeric prodrug was clearly dependent on the pH value of the hydrolysis solution. Moreover, sustained release of the drug at an almost constant rate for more than 10 hr was shown in both neutral and alkaline solutions. The results suggest that anhydride‐based polymeric prodrugs could be potentially useful in colon targeted drug delivery systems.
Prevalence and prognostic impact of the coexistence of multiple frailty domains in elderly patients with heart failure: the FRAGILE‐HF cohort study
Authors: Matsue Yuya , Kamiya Kentaro , Saito Hiroshi , Saito Kazuya , Ogasahara Yuki , Maekawa Emi , Konishi Masaaki , Kitai Takeshi , Iwata Kentaro , Jujo Kentaro , Wada Hiroshi , Kasai Takatoshi , Nagamatsu Hirofumi , Ozawa Tetsuya , Izawa Katsuya , Yamamoto Shuhei , Aizawa Naoki , Yonezawa Ryusuke , Oka Kazuhiro , Momomura Shin‐ichi , Kagiyama Nobuyuki 
Published: June 2020

AbstractAimsTo describe the prevalence, overlap, and prognostic implications of physical and social frailties and cognitive dysfunction in hospitalized elderly patients with heart failure.Methods and resultsThe FRAGILE‐HF study was a prospective multicentre cohort study enrolling consecutive hospitalized patients with heart failure aged ≥65 years. The study objectives were to examine the prevalence, overlap, and prognostic implications of the coexistence of multiple frailty domains. Physical frailty, social frailty, and cognitive dysfunction were evaluated by the Fried phenotype model, Makizako's 5 items, and Mini‐Cog, respectively. The primary study outcome was the combined endpoint of heart failure rehospitalization and all‐cause death within 1 year. Among 1180 enrolled hospitalized patients (median age, 81 years; 57.4% male), physical frailty, social frailty, and cognitive dysfunction were identified in 56.1%, 66.4%, and 37.1% of the patients, respectively. The number of identified frailty domains was 0, 1, 2, and 3 in 13.5%, 31.4%, 36.9%, and 18.2% of the patients, respectively. During follow‐up, the combined endpoint occurred in 383 patients. Adjusted hazard ratios for 1, 2, and 3 domains, with 0 domains as the reference, were 1.38 [95% confidence interval (CI) 0.89–2.13; P = 0.15], 1.60 (95% CI 1.04–2.46; P = 0.034), and 2.04 (95% CI 1.28–3.24; P = 0.003), respectively. Incorporating the number of frailty domains into the pre‐existing risk model yielded a 22.0% (95% CI 0.087–0.352; P = 0.001) net reclassification improvement for the primary outcome.ConclusionsThe coexistence of multiple frailty domains is prevalent in hospitalized elderly patients with heart failure. Holistic assessment of multi‐domain frailty provides additive value to known prognostic factors.
Carbon nanotube dielectrophoresis: Theory and applications
Authors: Rabbani Mohammad Towshif , Sonker Mukul , Ros Alexandra 
Published: May 2020

AbstractCarbon nanotubes (CNTs) are one of the most extensively studied nanomaterials in the 21st century. Since their discovery in 1991, many studies have been reported advancing our knowledge in terms of their structure, properties, synthesis, and applications. CNTs exhibit unique electrothermal and conductive properties which, combined with their mechanical strength, have led to tremendous attention of CNTs as a nanoscale material in the past two decades. To introduce the various types of CNTs, we first provide basic information on their structure followed by some intriguing properties and a brief overview of synthesis methods. Although impressive advances have been demonstrated with CNTs, critical applications require purification, positioning, and separation to yield desired properties and functional elements. Here, we review a versatile technique to manipulate CNTs based on their dielectric properties, namely dielectrophoresis (DEP). A detailed discussion on the DEP aspects of CNTs including the theory and various technical microfluidic realizations is provided. Various advancements in DEP‐based manipulations of single‐walled and multiwalled CNTs are also discussed with special emphasis on applications involving separation, purification, sensing, and nanofabrication.
Intraperitoneal injection of lipopolysaccharide prevents seizure‐induced respiratory arrest in a DBA/1 mouse model of SUDEP
Authors: Adhikari Yadav , Jin Xiaoming 
Published: May 2020

AbstractObjectiveSudden unexpected death in epilepsy (SUDEP) is the cause of premature death of 50% patients with chronic refractory epilepsy. Respiratory failure during seizures is regarded as an important mechanism of SUDEP. Previous studies have shown that abnormal serotonergic neurotransmission is involved in the pathogenesis of seizure‐induced respiratory failure, while enhancing serotonergic neurotransmission in the brainstem suppresses it. Because peripheral inflammation is known to enhance serotonergic neuron activation and 5‐HT synthesis and release, we investigated the effect of intraperitoneal lipopolysaccharide (LPS)‐induced inflammation on the S‐IRA susceptibility during audiogenic seizures in DBA/1 mice.MethodsAfter DBA/1 mice were primed by exposing to sound stimulation for three consecutive days, they were tested for seizure severity and seizure‐induced respiratory arrest (S‐IRA) induced by sound stimulation under different conditions. We determined the dose and time course of the effects of intraperitoneal administration of LPS on audiogenic seizures and S‐IRA. The effects of blocking TLR4 or RAGE receptors and blocking 5‐HT receptors on the LPS‐induced effect on S‐IRA were investigated. Statistical significance was evaluated using the Kruskal‐Wallis test.ResultsIntraperitoneal injection of LPS significantly had dose‐dependent effects in reducing the incidence of S‐IRA as well as seizure severity in DBA/1 mice. The protective effect of LPS on S‐IRA peaked at 8‐12 hours after LPS injection and was related to both reducing seizure severity and enhancing autoresuscitation. Blocking TLR4 or RAGE receptor with TAK‐242 or FPS‐ZM1, respectively, prior to LPS injection attenuated its effects on S‐IRA and seizure severity. Injection of a nonselective 5‐HT receptor antagonist, cyproheptadine, or a 5‐HT3 receptor antagonist, ondansetron, was effective in blocking LPS‐induced effect on S‐IRA. Immunostaining results showed a significant increase in c‐Fos‐positive serotonergic neurons in the dorsal raphe.SignificanceThis is the first study that demonstrates the effect of intraperitoneal LPS injection‐induced inflammation on reducing S‐IRA susceptibility and provides additional evidence supporting the serotonin hypothesis on SUDEP. Our study suggests that inflammation may enhance brainstem 5‐HT neurotransmission to promote autoresuscitation during seizure and prevent SUDEP.
Toward Sustainable Environmental Quality: Priority Research Questions for Asia
Authors: Leung Kenneth M.Y. , Yeung Katie W.Y. , You Jing , Choi Kyungho , Zhang Xiaowei , Smith Ross , Zhou Guang-Jie , Yung Mana M.N. , Arias-Barreiro Carlos , An Youn-Joo , Burket S. Rebekah , Dwyer Robert , Goodkin Nathalie , Hii Yii Siang , Hoang Tham , Humphrey Chris , Iwai Chuleemas Boonthai , Jeong Seung-Woo , Juhel Guillaume , Karami Ali , Kyriazi-Huber Katerina , Lee Kuan-Chun , Lin Bin-Le , Lu Ben , Martin Patrick , Nillos Mae Grace , Oginawati Katharina , Rathnayake I.V.N. , Risjani Yenny , Shoeb Mohammad , Tan Chin Hon , Tsuchiya Maria Claret , Ankley Gerald T. , Boxall Alistair B.A. , Rudd Murray A. , Brooks Bryan W. 
Published: May 2020

Abstract
Environmental and human health challenges are pronounced in Asia, an exceptionally diverse and complex region where influences of global megatrends are extensive and numerous stresses to environmental quality exist. Identifying priorities necessary to engage grand challenges can be facilitated through horizon scanning exercises, and to this end we identified and examined 23 priority research questions needed to advance toward more sustainable environmental quality in Asia, as part of the Global Horizon Scanning Project. Advances in environmental toxicology, environmental chemistry, biological monitoring, and risk-assessment methodologies are necessary to address the adverse impacts of environmental stressors on ecosystem services and biodiversity, with Asia being home to numerous biodiversity hotspots. Intersections of the food–energy–water nexus are profound in Asia; innovative and aggressive technologies are necessary to provide clean water, ensure food safety, and stimulate energy efficiency, while improving ecological integrity and addressing legacy and emerging threats to public health and the environment, particularly with increased aquaculture production. Asia is the largest chemical-producing continent globally. Accordingly, sustainable and green chemistry and engineering present decided opportunities to stimulate innovation and realize a number of the United Nations Sustainable Development Goals. Engaging the priority research questions identified herein will require transdisciplinary coordination through existing and nontraditional partnerships within and among countries and sectors. Answering these questions will not be easy but is necessary to achieve more sustainable environmental quality in Asia. Environ Toxicol Chem 2020;39:1485–1505. © 2020 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
Multilabel classification of remote sensed satellite imagery
Authors: Kumar Ajay , Abhishek Kumar , Kumar Singh Amit , Nerurkar Pranav , Chandane Madhav , Bhirud Sunil , Patel Dhiren , Busnel Yann 
Published: May 2020

AbstractMultilabel scene classification has emerged as a critical research area in the domain of remote sensing. Contemporary classification models primarily emphasis on a single object or multiobject scene classification of satellite remote sensed images. These classification models rely on feature engineering from images, deep learning, or transfer learning. Comparatively, multilabel scene classification of very high resolution (V.H.R.) images is a fairly unexplored domain of research. Models trained for single label scene classification are unsuitable for the application of recognizing multiple objects in a single remotely sensed V.H.R. satellite image. To overcome this research gap, the current inquiry proposes to fine‐tune the state of the art convolutional neural network (C.N.N.) architectures for multilabel scene classification. The proposed approach pre trains C.N.N on the ImageNet dataset and further fine‐tunes them to the task of detecting multiple objects in V.H.R. images. To understand the efficacy of this approach, the final models are applied on a V.H.R. dataset: the U.C.M.E.R.C.E.D. image dataset containing 21 different terrestrial land use categories with a submeter resolution. The performance of the final models is compared with graph convolutional network‐based model by Khan et al. From the results on performance metrics, it was observed that proposed models achieve comparable results in significantly fewer epochs.
Efficacy of an iron‐fortified infant cereal to reduce the risk of iron deficiency anemia in young children in East Cameroon
Authors: Ekoe Tetanye , Bianpambe Ousmaila I. , Nguefack Felicitee , Pondi Daniel M. , Kana‐Sop Marie M. , Hays Nicholas P. , Medoua Gabriel , Koki Paul N. 
Published: June 2020

AbstractComplementary foods in Africa are often poor sources of bioavailable iron. We assessed the efficacy of iron‐fortified wheat‐based infant cereal (IC) to reduce the risk of iron deficiency anemia in children aged 18–59 months in Cameroon. A 6‐month double‐blind, cluster‐randomized controlled trial was conducted in 2017 among anemic (hemoglobin 7–11 g/dl) but otherwise healthy children. In conjunction with usual diet, children received two 50 g servings/day of a standard, micronutrient‐fortified IC (providing 3.75 mg iron/serving; n = 106) or the same IC without iron fortification (n = 99). Anthropometric measurements, blood sampling, and systematic deworming were performed in all children at baseline (pre‐intervention), 3, and 6 months. Mean hemoglobin, ferritin adjusted for C‐reactive protein (CRP), serum iron, transferrin saturation, prevalence of anemia, iron deficiency, and iron deficiency anemia as well as anthropometrics were compared between the groups at baseline, 3, and 6 months. Compared to the control group, children consuming the iron‐fortified IC had significantly higher baseline‐adjusted mean hemoglobin (10.0 ± 1.8 vs. 9.7 ± 1.4 g/dl, respectively; p = .023), ferritin adjusted for CRP (16.1 ± 8.3 vs. 9.5 ± 7.5 μg/L, p < .001), serum iron (14.5 ± 3.9 vs. 11.2 ± 4.4 μg/dl; p < .001), and transferrin saturation (19.0 ± 17.4 vs. 10.7 ± 12.5%; p ˂ .001) at 6 months. The prevalence of anemia, iron deficiency, and iron deficiency anemia at 6 months decreased by a larger extent in the iron‐fortified group versus controls (all p < .01). In addition, at 6 months, children in the iron‐fortified group demonstrated higher weight‐for‐age z‐scores (p = .016) compared to the control group. Wheat‐based IC fortified with 7.5 mg ferrous fumarate administered daily for 6 months improved iron and nutritional status and decreased the prevalence of iron deficiency anemia in children aged 18–59 months in Salapoumbé, Cameroon.
Effects of drying conditions in low‐temperature microwave‐assisted drying on bioactive compounds and antioxidant activity of dehydrated bitter melon (Momordica charantia L.)
Authors: Nguyen Thi‐Van‐Linh , Nguyen Quoc‐Duy , Nguyen Phuoc‐Bao‐Duy , Tran Bich‐Lam , Huynh Phong T. 
Published: June 2020

AbstractBitter melon (Momordica charantia L.) is a fruit that brings health benefits to consumers because the fruit is rich in bioactive compounds. In this work, a combination of low‐temperature convective drying and microwave radiation was used to dehydrate sliced bitter melon. One‐factor‐at‐a‐time design was performed to evaluate the influence of microwave power density (1.5, 3.0, 4.5 W/g), drying temperatures (20, 25, and 30°C), and air velocity (1.0, 1.2 and 1.4 m/s) on the change of moisture content, nutrient levels (vitamin C and total phenolics), and the antioxidant activities (DPPH and FRAP assays) of the bitter melon. The obtained results showed that all investigated factors affected the rate of moisture removal. Microwave power density output and air‐drying temperature strongly participated in the retention of nutrients. In this study, the drying process was driven by both heat and mass transfer processes, so the increase of air velocity prolonged the drying time causing more loss of nutrient levels and antioxidant activities. It was found that DPPH free radical scavenging ability directly correlated with total phenolic content, but the ferric‐reducing antioxidant power was related to the presence of reductants including phenolic compounds, vitamin C, and other phytochemicals in bitter melons. This work determined that microwave power density and the air‐drying temperature are the main two factors that should be used for further investigations.
Dark control: The default mode network as a reinforcement learning agent
Authors: Dohmatob Elvis , Dumas Guillaume , Bzdok Danilo 
Published: June 2020

AbstractThe default mode network (DMN) is believed to subserve the baseline mental activity in humans. Its higher energy consumption compared to other brain networks and its intimate coupling with conscious awareness are both pointing to an unknown overarching function. Many research streams speak in favor of an evolutionarily adaptive role in envisioning experience to anticipate the future. In the present work, we propose aprocess modelthat tries to explainhowthe DMN may implement continuous evaluation and prediction of the environment to guide behavior. The main purpose of DMN activity, we argue, may be described by Markov decision processes that optimize action policies via value estimates through vicarious trial and error. Our formal perspective on DMN function naturally accommodates as special cases previous interpretations based on (a) predictive coding, (b) semantic associations, and (c) a sentinel role. Moreover, this process model for the neural optimization of complex behavior in the DMN offers parsimonious explanations for recent experimental findings in animals and humans.
Nicotinamide Adenine Dinucleotide Metabolome Is Functionally Depressed in Patients Undergoing Liver Transplantation for Alcohol‐Related Liver Disease
Authors: Parker Richard , Schmidt Mark S. , Cain Owen , Gunson Bridget , Brenner Charles 
Published: May 2020

Nicotinamide adenine dinucleotide (NAD+) and related coenzymes play critical roles in liver function. Although hepatic alcohol metabolism depresses NAD+, current understanding of the NAD+ metabolome in alcohol‐related liver disease (ArLD) is based on animal models. We used human liver samples to quantify the NAD+ metabolome in ArLD with samples obtained at the time of liver transplantation or resection at University Hospitals Birmingham National Health Service Foundation Trust. The severity of steatohepatitis in liver from patients with ArLD was assessed with standard liver function tests and histology. NAD‐targeted quantitative metabolomic analysis of liver tissue was performed by liquid chromatography–tandem mass spectrometry. Seventy‐two human liver specimens were analyzed, including 43 with ArLD. The NAD+ metabolome differed significantly between different types of liver disease (two‐way analysis of variance [ANOVA], P = 0.001). ArLD liver tissue showed markedly depressed concentrations of NAD+ (432 μM vs. 616 μM in normal liver) and precursor molecules nicotinic acid and nicotinamide riboside. There was a significant overall difference in the NAD+ metabolome between ArLD samples with and without steatohepatitis (two‐way ANOVA, P = 0.018). After correcting for multiple comparisons, a significant difference for individual components of the metabolome was observed for the concentration of NAD+ (mean, 462 μM vs. 322 μM; P < 0.01 in nonsevere vs. severe alcoholic steatohepatitis, respectively). NAD+ concentration was inversely related to serum bilirubin concentration (r
2 = −0.127; P = 0.04) and positively correlated with myeloperoxidase activity (r
2 = 0.31; P = 0.003). The concentration of NAD+ and its precursor molecules are significantly reduced in ArLD and are associated with disease activity. Conclusion: Liver samples from people with ArLD show depressed NAD+ and precursor levels as well as depressed myeloperoxidase activity.