bluuebunny/crossref_metadata_2025_split huggingface dataset:
Label-free discrimination of tumorigenesis stages using in vitro prostate cancer bone metastasis model by Raman imaging
Authors: Kar Sumanta , Jaswandkar Sharad V. , Katti Kalpana S. , Kang Jeon Woong , So Peter T. C. , Paulmurugan Ramasamy , Liepmann Dorian , Venkatesan Renugopalakrishnan , Katti Dinesh R. 
Published: May 2022

AbstractMetastatic prostate cancer colonizes the bone to pave the way for bone metastasis, leading to skeletal complications associated with poor prognosis and morbidity. This study demonstrates the feasibility of Raman imaging to differentiate between cancer cells at different stages of tumorigenesis using a nanoclay-based three-dimensional (3D) bone mimetic in vitro model that mimics prostate cancer bone metastasis. A comprehensive study comparing the classification of as received prostate cancer cells in a two-dimensional (2D) model and cancer cells in a 3D bone mimetic environment was performed over various time intervals using principal component analysis (PCA). Our results showed distinctive spectral differences in Raman imaging between prostate cancer cells and the cells cultured in 3D bone mimetic scaffolds, particularly at 1002, 1261, 1444, and 1654 cm−1, which primarily contain proteins and lipids signals. Raman maps capture sub-cellular responses with the progression of tumor cells into metastasis. Raman feature extraction via cluster analysis allows for the identification of specific cellular constituents in the images. For the first time, this work demonstrates a promising potential of Raman imaging, PCA, and cluster analysis to discriminate between cancer cells at different stages of metastatic tumorigenesis.
Non-linear relationships between density and demographic traits in three Aedes species
Authors: Sauers Logan A. , Hawes Kelsey E. , Juliano Steven A. 
Published: May 2022

AbstractUnderstanding the relationship of population dynamics to density is central to many ecological investigations. Despite the importance of density-dependence in determining population growth, the empirical relationship between density andper capitagrowth remains understudied in most systems and is often assumed to be linear. In experimental studies of interspecific competition, investigators often evaluate the predicted outcomes by assuming such linear relationships, fitting linear functions, and estimating parameters of competition models. In this paper, we experimentally describe the shape of the relationship between estimated population rate of change and initial density using laboratory-reared populations of three mosquito species. We estimatedper capitagrowth rate for these experimental populations over a 30-fold range of larval densities at a standard resource abundance. We then compared fits of linear models and several different nonlinear models for the relationship of estimated rate of change and density. We find that that the relationship between density andper capitagrowth is strongly non-linear inAedes aegypti(Linnaeus),Aedes albopictus(Skuse),and Aedes triseriatus(Say) mosquitoes. Components of population growth (survivorship, development time, adult size) are also nonlinearly related to initial density. The causes and consequences of this nonlinearity are likely to be important issues for population and community ecology.
The capacity and organization of gustatory working memory
Authors: Lim Shirley Xue Li , Höchenberger Richard , Ruda Iryna , Fink Gereon R. , Viswanathan Shivakumar , Ohla Kathrin 
Published: May 2022

AbstractRemembering a particular taste is crucial in food intake and associative learning. We investigated whether taste can be dynamically encoded, maintained, and retrieved on short time scales consistent with working memory (WM). We use novel single and multi-item taste recognition tasks to show that a single taste can be reliably recognized despite repeated oro-sensory interference suggesting active and resilient maintenance (Experiment 1, N = 21). When multiple tastes were presented (Experiment 2, N = 20), the resolution with which these were maintained depended on their serial position, and recognition was reliable for up to three tastes suggesting a limited capacity of gustatory WM. Lastly, stimulus similarity impaired recognition with increasing set size, which seemed to mask the awareness of capacity limitations. Together, the results advocate a hybrid model of gustatory WM with a limited number of slots where items are stored with varying precision.
The effectiveness of testing, vaccinations and contact restrictions for containing the CoViD-19 pandemic
Authors: Gabler Janoś , Raabe Tobias , Röhrl Klara , Gaudecker Hans-Martin von 
Published: May 2022

AbstractIn order to slow the spread of the CoViD-19 pandemic, governments around the world have enacted a wide set of policies limiting the transmission of the disease. Initially, these focused on non-pharmaceutical interventions; more recently, vaccinations and large-scale rapid testing have started to play a major role. The objective of this study is to explain the quantitative effects of these policies on determining the course of the pandemic, allowing for factors like seasonality or virus strains with different transmission profiles. To do so, the study develops an agent-based simulation model, which explicitly takes into account test demand and behavioral changes following positive tests. The model is estimated using data for the second and the third wave of the CoViD-19 pandemic in Germany. The paper finds that during a period where vaccination rates rose from 5 to 40%, seasonality and rapid testing had the largest effect on reducing infection numbers. Frequent large-scale rapid testing should remain part of strategies to contain CoViD-19; it can substitute for many non-pharmaceutical interventions that come at a much larger cost to individuals, society, and the economy.
Clinical evaluation and resting state fMRI analysis of virtual reality based training in Parkinson’s disease through a randomized controlled trial
Authors: Hajebrahimi Farzin , Velioglu Halil Aziz , Bayraktaroglu Zubeyir , Helvaci Yilmaz Nesrin , Hanoglu Lutfu 
Published: May 2022

AbstractThere are few studies investigating the short-term effects of Virtual Reality based Exergaming (EG) on motor and cognition simultaneously and pursue the brain functional activity changes after these interventions in patients with Parkinson’s Disease (PD). The purpose of this study was to investigate the synergistic therapeutic effects of Virtual Reality based EG on motor and cognitive symptoms in PD and its possible effects on neuroplasticity. Eligible patients with the diagnosis of PD were randomly assigned to one of the two study groups: (1) an experimental EG group, (2) an active control Exercise Therapy (ET) group. All patients participated in a 4-week exercise program consisting of 12 treatment sessions. Every session lasted 60 min. Participants underwent a motor evaluation, extensive neuropsychological assessment battery and rs-fMRI before and after the interventions. Thirty patients fulfilled the inclusion criteria and were randomly assigned to the EG and ET groups. After the dropouts, 23 patients completed the assessments and interventions (11 in EG, 13 in ET). Within group analysis showed significant improvements in both groups. Between group comparisons considering the interaction of group × time effect, showed superiority of EG in terms of general cognition, delayed visual recall memory and Boston Naming Test. These results were consistent in the within-group and between-group analysis. Finally, rs-fMRI analysis showed increased activity in the precuneus region in the time × group interaction in the favor of EG group. EG can be an effective alternative in terms of motor and cognitive outcomes in patients with PD. Compared to ET, EG may affect brain functional connectivity and can have beneficial effects on patients’ cognitive functions and motor symptoms. Whenever possible, using EG and ET in combination, may have the better effects on patients daily living and patients can benefit from the advantages of both interventions.
Analysis of carbon emissions from land cover change during 2000 to 2020 in Shandong Province, China
Authors: Zhu Linye , Xing Huaqiao , Hou Dongyang 
Published: May 2022

AbstractLand cover change affects the carbon emissions of ecosystems in some way. The qualitative and quantitative understanding of carbon emissions from human activities (e.g., land cover change, industrial production, etc.) is highly significant for realizing the objective of carbon neutrality. Therefore, this paper used GlobeLand30 land cover maps, annual average normalised difference vegetation index (NDVI) data, annual average net ecosystem productivity (NEP) data and statistical yearbook data from 2000 to 2020 to explore the relationship between land cover change and carbon emissions. Specifically, it included land cover change, carbon storage changes influenced by land cover change, spatial and temporal analysis of carbon sources and sinks, land use intensity change and anthropogenic carbon emissions. The results of the study show that the main land cover changes in Shandong province during 2000–2020 was cultivated land conversion to artificial surfaces. Among them, the area of cultivated land converted to artificial surfaces from 2000 to 2010 was 4930.62 km2, and the proportion of cultivated land converted to artificial surfaces from 2010 to 2020 was as high as 78.35%. The total carbon stock of vegetation affected by land cover change decreased by 463.96 × 104 t and 193.50 × 104 t in 2000–2010 and 2010–2020 respectively. The spatial and temporal distribution of carbon sources and sinks differed more markedly from 2000 to 2020, and land use intensity changes in Shandong Province showed an upward trend. Of the total energy production, industry has the largest energy consumption, followed closely by total energy consumption in transportation, storage and postal services.
Factors associated with gravity-dependent distribution on chest CT in elderly patients with community-acquired pneumonia: a retrospective observational study
Authors: Komiya Kosaku , Yamamoto Takashi , Yoshikawa Hiroki , Goto Akihiko , Umeki Kenji , Johkoh Takeshi , Hiramatsu Kazufumi , Kadota Jun-ichi 
Published: May 2022

AbstractAlthough lung involvement in aspiration pneumonia typically has a gravity-dependent distribution on chest images, which patient’s conditions contribute to its radiological pattern has not been fully elucidated. This study was designed to determine the factors associated with the gravity-dependent distribution of community-acquired pneumonia (CAP) on chest computed tomography (CT). This retrospective study included elderly patients aged ≥ 65 years with CAP who underwent chest CT within 1 week before or after admission. The factors associated with lower lobe- and posterior-predominant distributions of ground glass opacity or airspace consolidation were determined. Of the 369 patients with CAP, 348 (94%) underwent chest CT. Multivariate analyses showed that impaired consciousness, a low Barthel index of activities of daily living, and high hemoglobin levels were associated with lower lobe-predominant distribution, while male sex and impaired consciousness were associated with posterior-predominant distribution. Cerebrovascular diseases were unrelated to these distributions. While male sex, impaired consciousness, high hemoglobin levels, low albumin levels, and the number of involved lobes were associated with in-hospital mortality, gravity-dependent distributions were not. Impaired consciousness might be the most significant predictor of aspiration pneumonia; however, the gravity-dependent distribution of this disease is unlikely to affect disease prognosis.
Decision making for large-scale multi-armed bandit problems using bias control of chaotic temporal waveforms in semiconductor lasers
Authors: Morijiri Kensei , Mihana Takatomo , Kanno Kazutaka , Naruse Makoto , Uchida Atsushi 
Published: May 2022

AbstractDecision making using photonic technologies has been intensively researched for solving the multi-armed bandit problem, which is fundamental to reinforcement learning. However, these technologies are yet to be extended to large-scale multi-armed bandit problems. In this study, we conduct a numerical investigation of decision making to solve large-scale multi-armed bandit problems by controlling the biases of chaotic temporal waveforms generated in semiconductor lasers with optical feedback. We generate chaotic temporal waveforms using the semiconductor lasers, and each waveform is assigned to a slot machine (or choice) in the multi-armed bandit problem. The biases in the amplitudes of the chaotic waveforms are adjusted based on rewards using the tug-of-war method. Subsequently, the slot machine that yields the maximum-amplitude chaotic temporal waveform with bias is selected. The scaling properties of the correct decision-making process are examined by increasing the number of slot machines to 1024, and the scaling exponent of the power-law distribution is 0.97. We demonstrate that the proposed method outperforms existing software algorithms in terms of the scaling exponent. This result paves the way for photonic decision making in large-scale multi-armed bandit problems using photonic accelerators.
Exceptional longevity in northern peripheral populations of Wels catfish (Silurus glanis)
Authors: Bergström Kristofer , Nordahl Oscar , Söderling Peter , Koch-Schmidt Per , Borger Tobias , Tibblin Petter , Larsson Per 
Published: May 2022

AbstractStudies of life-history variation across a species range are crucial for ecological understanding and successful conservation. Here, we examined the growth and age of Wels catfish (Silurus glanis) in Sweden, which represent the northernmost populations in Europe. A total of 1183 individuals were captured, marked and released between 2006 and 2020. Mark-recapture data from 162 individuals (size range: 13–195 cm) were used to estimate von Bertalanffy growth curve parameters which revealed very slow growth rates compared to catfish within the core distribution area (central Europe). The fitted von Bertalanffy growth curve predicted a 150 cm catfish to be around 40 years old, while the largest recaptured individual (length 195 cm) was estimated to be 70 (95% CI 50–112) years old. This was substantially older than the previously documented maximum age of a catfish. The weight at length relationships in these northern peripheral populations were similar to those documented for catfish in central Europe indicating that resources did not constrain growth. This indicates that the slow growth and exceptional high age in the northern catfish populations are the result of lower temperatures and/or local adaptations.
Using population-based data to evaluate the impact of adherence to endocrine therapy on survival in breast cancer through the web-application BreCanSurvPred
Authors: Font Rebeca , Buxó Maria , Ameijide Alberto , Martínez José Miguel , Marcos-Gragera Rafael , Carulla Marià , Puigdemont Montse , Vilardell Mireia , Civit Sergi , Viñas Gema , Espinàs Josep A. , Galceran Jaume , Izquierdo Ángel , Borràs Josep M. , Clèries Ramon 
Published: May 2022

AbstractWe show how the use and interpretation of population-based cancer survival indicators can help oncologists talk with breast cancer (BC) patients about the relationship between their prognosis and their adherence to endocrine therapy (ET). The study population comprised a population-based cohort of estrogen receptor positive BC patients (N = 1268) diagnosed in Girona and Tarragona (Northeastern Spain) and classified according to HER2 status (+ / −), stage at diagnosis (I/II/III) and five-year cumulative adherence rate (adherent > 80%; non-adherent ≤ 80%). Cox regression analysis was performed to identify significant prognostic factors for overall survival, whereas relative survival (RS) was used to estimate the crude probability of death due to BC (PBC). Stage and adherence to ET were the significant factors for predicting all-cause mortality. Compared to stage I, risk of death increased in stage II (hazard ratio [HR] 2.24, 95% confidence interval [CI]: 1.51–3.30) and stage III (HR 5.11, 95% CI 3.46–7.51), and it decreased with adherence to ET (HR 0.57, 95% CI 0.41–0.59). PBC differences were higher in non-adherent patients compared to adherent ones and increased across stages: stage I: 6.61% (95% CI 0.05–13.20); stage II: 9.77% (95% CI 0.59–19.01), and stage III: 22.31% (95% CI 6.34–38.45). The age-adjusted survival curves derived from this modeling were implemented in the web application BreCanSurvPred (https://pdocomputation.snpstats.net/BreCanSurvPred). Web applications like BreCanSurvPred can help oncologists discuss the consequences of non-adherence to prescribed ET with patients.
A low power, highly efficient, linear, enhanced wideband Class-J mode power amplifier for 5G applications
Authors: Sridhar Nagisetty , Senthilpari C. , Mardeni R. , Yong Wong Hin , Nandhakumar T. 
Published: May 2022

AbstractIn wireless communication networks, the necessity for high-speed data rates has increased in emerging 5G application areas. The Power Amplifier (PA) topologies reported to date achieved desired Power Added Efficiency (PAE) and linearity. However, these harmonically tuned switching PAs are less appealing for broadband applications as they are restricted to narrow bandwidth (BW). Therefore, to meet the 5G requirements, the challenge of designing a PA with improved efficiency and linearity for a dynamic range of BW becomes critical for PA designers. Recently developed Class-J PA topology can obtain good efficiency while maintaining linearity for wide BW applications. This research work presents a methodology to design a 5 GHz Class-J mode PA topology using Silterra 0.13 μm CMOS technology. This research's main objectives are to determine the Ropt of the transistor and design a proper Output Matching Network (OMN) for obtaining Class-J PA operation to make it suitable for 5G wireless applications. The simulation results represent that the designed Class-J PA provides 27 dBm of maximum power output with a maximum power gain of 13.7 dB and the small-signal gain of 17 dB for a BW of around 500 MHz with a 5 V power supply into a 50Ω load.
The relationship between epigenetic age and the hallmarks of aging in human cells
Authors: Kabacik Sylwia , Lowe Donna , Fransen Leonie , Leonard Martin , Ang Siew-Lan , Whiteman Christopher , Corsi Sarah , Cohen Howard , Felton Sarah , Bali Radhika , Horvath Steve , Raj Ken 
Published: May 2022

AbstractEpigenetic clocks are mathematically derived age estimators that are based on combinations of methylation values that change with age at specific CpGs in the genome. These clocks are widely used to measure the age of tissues and cells1,2. The discrepancy between epigenetic age (EpiAge), as estimated by these clocks, and chronological age is referred to as EpiAge acceleration. Epidemiological studies have linked EpiAge acceleration to a wide variety of pathologies, health states, lifestyle, mental state and environmental factors2, indicating that epigenetic clocks tap into critical biological processes that are involved in aging. Despite the importance of this inference, the mechanisms underpinning these clocks remained largely uncharacterized and unelucidated. Here, using primary human cells, we set out to investigate whether epigenetic aging is the manifestation of one or more of the aging hallmarks previously identified3. We show that although epigenetic aging is distinct from cellular senescence, telomere attrition and genomic instability, it is associated with nutrient sensing, mitochondrial activity and stem cell composition.
Pd-Catalysed [3 + 2]-cycloaddition towards the generation of bioactive bis-heterocycles/identification of COX-2 inhibitors via in silico analysis
Authors: Sathish Elagandhula , Ansari Arshad J. , Joshi Gaurav , Pandit Akansha , Shukla Monika , Kumari Neha , Sharon Ashoke , Verma Ved Prakash , Sawant Devesh M. 
Published: May 2022

Pd-catalysed [3 + 2] cycloaddition reaction of VECs and nitrile oxides to access bis-heterocycles was developed. In silico-based studies suggested interaction with COX receptors that may be corroborated biologically in the future.
Palladium-catalyzed [4 + 4] cycloadditions for highly diastereo- and enantioselective synthesis of functionalized benzo[b]oxocines
Authors: Wang Xunhua , Yang Jianfeng , Lv Ruifeng , Song Pengfei , Ye Denghui , Liu Jitian , Li Xiaoxun 
Published: May 2022

An efficient palladium-catalyzed asymmetric [4 + 4] cycloaddition of highly reactive ortho-quinone methides with γ-methylidene-δ-valerolactones for the construction of functionalized eight-membered benzo[b]oxocine derivatives has been developed.
Utility of preclinical models of altered maternal nutrition to support the developmental origins of health and disease hypothesis
Authors: Vickers Mark Hedley 
Published: May 2022

Abstract
A clear link has been established between alterations in the early life environment and the risk for developing a range of cardiometabolic diseases in later life, a process preferentially termed developmental programming. In particular, alterations in the maternal nutritional environment have been associated with a range of adverse health outcomes in offspring across the lifecourse; effects that can be passed on to future generations. Following from the early epidemiological observations that provided the basis for the developmental origins of health and disease (DOHaD) hypothesis, a range of animal models were developed to examine the impact of early life programming and provide empirical data to support the emerging framework. These models became key tools to aid in our understanding of developmental programming as allowed investigation of potential mechanisms, strategies for intervention and transgenerational effects. The study published by Langley and Jackson (Clin. Sci. 1994;86(2):217–222; DOI:10.1042/CS0860217), using a rat model of maternal low protein exposure, was one of the first to highlight the impact of an altered maternal nutritional environment on programming of elevated blood pressure in offspring. This work became a hallmark study in the DOHaD field by demonstrating key proof of principle to support the early epidemiological associations and characterizing a key preclinical model that has contributed greatly to our understanding of mechanisms underpinning developmental programming—particularly in the area of cardiovascular and renal function.
Peer‐to‐peer decentralized energy trading in industrial town considering central shared energy storage using alternating direction method of multipliers algorithm
Authors: Aminlou Ali , Mohammadi‐Ivatloo Behnam , Zare Kazem , Razzaghi Reza , Anvari‐Moghaddam Amjad 
Published: May 2022

AbstractDistributed energy resources are being progressively deployed by industry. The penetration of distributed generation in low voltage (LV) networks can position traditional consumers as market participants. With the improvements in communication networks and the introduction of new energy markets, these prosumers are incentivized to sell their excess production to other industries by participating in peer‐to‐peer (P2P) energy markets. This market paves the way for developing new technologies such as a shared battery energy storage system (SBESS). In this paper, a central storage unit rents its capacity for the prosumers to reduce the overall peak‐load of the microgrid. Each user requests the required SBESS capacity and calculates the best charging and discharging times to reduce their cost. To this end, this paper organized a P2P energy trading paradigm with the presence of SBESS. The optimization problem was simulated and solved using the alternating direction method of multipliers (ADMM) algorithm. Results demonstrate how combining features of P2P energy trading and SBESS can save up to 29% for the industrial town.