bluuebunny/crossref_metadata_2025_split huggingface dataset:
Energy efficient integrated MEMS neural network for simultaneous sensing and computing
Authors: Nikfarjam Hamed , Megdadi Mohammad , Okour Mohammad , Pourkamali Siavash , Alsaleem Fadi 
Published: April 2023

AbstractBiological systems seamlessly combine multiple functions in lightweight and energy-efficient structures. Such capability in synthetic structures would be desirable in numerous engineering applications such as aerospace, robotics and wearable devices. Here we report an integrated silicon-based structure configured to sense, perform different classification algorithms, and produce an action signal within the same physical layer. The algorithms are coded in the mechanical responses of the sensing elements of multiple coupled micro-electro-mechanical systems (MEMS), simultaneously capturing acceleration measurements to produce an actuated signal. This all-in-one structure operates with zero circuitry and low power consumption. As a demonstration, we designed and fabricated a network of three MEMS neurons to successfully perform both simple signal classification and activity recognition problems (standing and sitting) with only 9.92 × 10−17 kWh and 17.79 × 10−19 kWh energy consumption per operation, respectively. Our approach will enable emergent technologies, such as wearable devices, to perform complex computations with power from a single battery charge.
Network-specific metabolic and haemodynamic effects elicited by non-invasive brain stimulation
Authors: Eldaief Mark C. , McMains Stephanie , Izquierdo-Garcia David , Daneshzand Mohammad , Nummenmaa Aapo , Braga Rodrigo M. 
Published: May 2023

AbstractRepetitive transcranial magnetic stimulation (TMS), when applied to the dorsolateral prefrontal cortex (dlPFC), treats depression. Therapeutic effects are hypothesized to arise from propagation of local dlPFC stimulation effects across distributed networks; however, the mechanisms of this remain unresolved. dlPFC contains representations of different networks. As such, dlPFC TMS may exert different effects depending on the network being stimulated. Here, to test this, we applied high-frequency TMS to two nearby dlPFC targets functionally embedded in distinct anti-correlated networks—the default and salience networks— in the same individuals in separate sessions. Local and distributed TMS effects were measured with combined 18fluorodeoxyglucose positron emission tomography and functional magnetic resonance imaging. Identical TMS patterns caused opposing effects on local glucose metabolism: metabolism increased at the salience target following salience TMS but decreased at the default target following default TMS. At the distributed level, both conditions increased functional connectivity between the default and salience networks, with this effect being dramatically larger following default TMS. Metabolic and haemodynamic effects were also linked: across subjects, the magnitude of local metabolic changes correlated with the degree of functional connectivity changes. These results suggest that TMS effects upon dlPFC are network specific. They also invoke putative anti-depressant mechanisms of TMS: network de-coupling.
Optimal sensor selection for diagnosability enforcement of discrete event systems using labeled petri net
Authors: Hu Shaopeng , Zhang Jiafeng , Wang Jianzhou , Wu Naiqi , Li Zhiwu 
Published: April 2023

AbstractThis paper addresses the problem of optimal sensor selection for ensuring diagnosability of discrete event systems. Given a nondiagnosable discrete event system modeled with labeled Petri nets, a new labeling function can be designed to enforce the system to be diagnosable. An ad‐hoc parallel composition of non‐deterministic finite automata (derived from the original labeled Petri net model) that are observed at multiple observation sites is employed. In order to optimize a given labeling function as well as a sensor selection, an integer linear programming problem is formulated to associate numerical sensor costs with transition relabelings. In a multi‐fault system, this method can determine the type of faults that occur and the fault sequences pertaining to this fault type if multiple faults occur. Examples are presented to demonstrate the proposed method.
Remaining driving range prediction for electric vehicles: Key challenges and outlook
Authors: Mei Peng , Karimi Hamid Reza , Huang Cong , Chen Fei , Yang Shichun 
Published: May 2023

AbstractRemaining driving range (RDR) research has continued to consistently evolve with the development of electric vehicles (EVs). Accurate RDR prediction is a promising approach to alleviate distance anxiety when power battery technology is not yet fully matured. This paper first introduces the research motivation of RDR prediction, summarizes the previous research progress, and classifies the influencing factors of RDR. Second, conduct research and analysis on the physical model of EVs, mainly including battery and vehicle models. Based on the physical model, the energy flow problem of EVs is analyzed and discussed. Third, four key challenges of RDR prediction are summarized: battery state estimation, driving behavior classification and recognition, driving condition prediction and speed prediction, and RDR calculation method. Finally, given the four challenges faced by RDR, a driving range prediction method based on vehicle‐cloud collaboration is proposed, which combines the advantages of cloud computing and machine learning to provide further research trends.
Decentralized frequency control of restructured energy system using hybrid intelligent algorithm and non‐linear fractional order proportional integral derivative controller
Authors: Irudayaraj Andrew Xavier Raj , Wahab Noor Izzri Abdul , Veerasamy Veerapandiyan , Premkumar Manoharan , Radzi Mohd Amran Mohd , Sulaiman Nasri Bin , Haes Alhelou Hassan 
Published: May 2023

AbstractThe emergence of micro‐sources in the energy market to reduce carbon emissions and exploit more renewable generations increases the frequency oscillations of the system. Hence, this paper attempts to develop a robust nonlinear fractional order proportional integral derivative (NLFOPID) controller for frequency regulation of restructured energy systems. A hybrid atom search‐particle swarm optimization (AS‐PSO) is proposed to optimize the gain values of the NLFOPID controller. The proposed control approach enhances flexibility by providing robustness against the RE intermittency. The optimization technique is coded in MATLAB and applied for frequency regulation of a multi‐area energy system developed in Simulink. Initially, the effectiveness of the hybrid algorithm is validated for standard benchmark functions and then implemented for frequency control. The results demonstrate that the proffered AS‐PSO technique performs significantly for various types of transactions in a deregulated energy market than state‐of‐the‐art. The real‐time applicability of the proposed controller is validated using hardware‐in‐the‐loop simulation of the open energy market in OPAL‐RT. The frequency response obtained from the AS‐PSO optimized NLFOPID controller is remarkable compared to other techniques. Furthermore, the closed‐loop stability of the system is examined using bode analysis through an improved Oustaloup approximation technique.
18F-FDG Brain PET/MRI in Amyotrophic Lateral Sclerosis– Frontotemporal Spectrum Disorder (ALS-FTSD)
Authors: Mashriqi Faizullah , Mishra Bibhuti B. , Giliberto Luca , Franceschi Ana M. 
Published: May 2023

AbstractAmyotrophic lateral sclerosis (ALS) is a fatal and progressive neurodegenerative disorder involving both upper and lower motor neurons. Interestingly, 15 to 41% of patients with ALS have concomitant frontotemporal dementia (FTD). Approximately, 50% of patients with ALS can copresent with a broader set of neuropsychological pathologies that do not meet FTD diagnostic criteria. This association resulted in revised and expanded criteria establishing the ALS-frontotemporal spectrum disorder (FTSD). In this case report, we review background information, epidemiology, pathophysiology, and structural and molecular imaging features of ALS-FTSD.
The euro area sovereign debt crisis and the sovereign debt Laffer curve: a historic assessment for 1999–2014
Authors: Bhimjee Diptes C. P. 
Published: April 2023

AbstractThis article addresses the historical evolution of sovereign debt trajectories since the beginning of the euro area up to the corresponding sovereign debt crisis, using certain key economic concepts previously proposed by the literature in connection to other historic sovereign debt events. It first recovers the concept of the sovereign debt Laffer curve, which efficiently addresses the non-linear relationship between economic output and public debt issuance. It then presents an important set of theoretic economic concepts that accurately describe the onset of debt vulnerabilities negatively impacting economic growth, therefore linking these fundamental but heterogeneous public debt-related concepts under the unifying concept of the said sovereign debt Laffer curve, which adequately encompasses these heterogeneous concepts. For example, fundamental concepts such as debt vulnerability, ‘debt overhang’, or ‘illiquidity vs. insolvency’ are adequately contextualized under the said Laffer curve. This innovative historical perspective might be useful in the analysis of subsequent sovereign debt crises, as well as in tackling future research in public debt sustainability, namely where the design and implementation of sustainable public debt policies in advanced economies is concerned.
A millikelvin precision temperature control system designed for a low cost, portable and variable temperature blackbody from 298.15 to 693.15 K
Authors: Liang Peizhao , Hu Tieli , Xu Jinxin , Xu Qiyue , Ding Jiong 
Published: May 2023

Millikelvin precision portable variable temperature blackbody from 298.15 to 693.15 K is very important in the on-site calibration of infrared measuring instruments. The stability of the blackbody temperature directly affects the calibration quality. However, the temperature measurement and control system is the key component to guarantee the stability of the blackbody temperature. In this article, a measurement and control system of the low-cost and portable blackbody was designed and verified. A Pt100 platinum resistance thermometer was employed to measure the temperature of the blackbody radiation source. Based on the round-robin structure and current reversing technology, the precision of the temperature measurement achieved a sub-millikelvin level. To overcome the drawbacks that traditional proportional integral derivative (PID) controller would lead to large overshoot and long adjustment time during the temperature control of the large thermal inertia blackbody, a feedforward and segmented PID controller was introduced to improve the dynamic performance of the blackbody radiation source. The experimental results showed that the precision of the temperature measurement at 0.5 Hz was better than 0.5 mK and the temperature stability within 10 min was better than 3 mK in the temperature range from 298.15 to 693.15 K. Hence, the millikelvin precision measurement and control system has a strong prospect for practical application in high-performance blackbody development.
Humans plan for the near future to walk economically on uneven terrain
Authors: Darici Osman , Kuo Arthur D. 
Published: May 2023

Humans experience small fluctuations in their gait when walking on uneven terrain. The fluctuations deviate from the steady, energy-minimizing pattern for level walking and have no obvious organization. But humans often look ahead when they walk, and could potentially plan anticipatory fluctuations for the terrain. Such planning is only sensible if it serves some an objective purpose, such as maintaining constant speed or reducing energy expenditure, that is also attainable within finite planning capacity. Here, we show that humans do plan and perform optimal control strategies on uneven terrain. Rather than maintaining constant speed, they make purposeful, anticipatory speed adjustments that are consistent with minimizing energy expenditure. A simple optimal control model predicts economical speed fluctuations that agree well with experiments with humans (N = 12) walking on seven different terrain profiles (correlated with model

ρ
=
0.55
±
0.11

,

P
<
0.05

all terrains). Participants made repeatable speed fluctuations starting about six to eight steps ahead of each terrain feature (up to ±7.5 cm height difference each step, up to 16 consecutive features). Nearer features matter more, because energy is dissipated with each succeeding step’s collision with ground, preventing momentum from persisting indefinitely. A finite horizon of continuous look-ahead and motor working space thus suffice to practically optimize for any length of terrain. Humans reason about walking in the near future to plan complex optimal control sequences.
Modeling human skeletal development using human pluripotent stem cells
Authors: Lamandé Shireen R. , Ng Elizabeth S. , Cameron Trevor L. , Kung Louise H. W. , Sampurno Lisa , Rowley Lynn , Lilianty Jinia , Patria Yudha Nur , Stenta Tayla , Hanssen Eric , Bell Katrina M. , Saxena Ritika , Stok Kathryn S. , Stanley Edouard G. , Elefanty Andrew G. , Bateman John F. 
Published: May 2023

Chondrocytes and osteoblasts differentiated from induced pluripotent stem cells (iPSCs) will provide insights into skeletal development and genetic skeletal disorders and will generate cells for regenerative medicine applications. Here, we describe a method that directs iPSC-derived sclerotome to chondroprogenitors in 3D pellet culture then to articular chondrocytes or, alternatively, along the growth plate cartilage pathway to become hypertrophic chondrocytes that can transition to osteoblasts. Osteogenic organoids deposit and mineralize a collagen I extracellular matrix (ECM), mirroring in vivo endochondral bone formation. We have identified gene expression signatures at key developmental stages including chondrocyte maturation, hypertrophy, and transition to osteoblasts and show that this system can be used to model genetic cartilage and bone disorders.
A cytosolic bifunctional geranyl/farnesyl diphosphate synthase provides MVA-derived GPP for geraniol biosynthesis in rose flowers
Authors: Conart Corentin , Bomzan Dikki Pedenla , Huang Xing-Qi , Bassard Jean-Etienne , Paramita Saretta N. , Saint-Marcoux Denis , Rius-Bony Aurélie , Hivert Gal , Anchisi Anthony , Schaller Hubert , Hamama Latifa , Magnard Jean-Louis , Lipko Agata , Swiezewska Ewa , Jame Patrick , Riveill Geneviève , Hibrand-Saint Oyant Laurence , Rohmer Michel , Lewinsohn Efraim , Dudareva Natalia , Baudino Sylvie , Caissard Jean-Claude , Boachon Benoît 
Published: May 2023

Geraniol derived from essential oils of various plant species is widely used in the cosmetic and perfume industries. It is also an essential trait of the pleasant smell of rose flowers. In contrast to other monoterpenes which are produced in plastids via the methyl erythritol phosphate pathway, geraniol biosynthesis in roses relies on cytosolic NUDX1 hydrolase which dephosphorylates geranyl diphosphate (GPP). However, the metabolic origin of cytosolic GPP remains unknown. By feeding
Rosa chinensis
“Old Blush” flowers with pathway-specific precursors and inhibitors, combined with metabolic profiling and functional characterization of enzymes in vitro and in planta, we show that geraniol is synthesized through the cytosolic mevalonate (MVA) pathway by a bifunctional geranyl/farnesyl diphosphate synthase, RcG/FPPS1, producing both GPP and farnesyl diphosphate (FPP). The downregulation and overexpression of
RcG/FPPS1
in rose petals affected not only geraniol and germacrene D emissions but also dihydro-β-ionol, the latter due to metabolic cross talk of RcG/FPPS1-dependent isoprenoid intermediates trafficking from the cytosol to plastids. Phylogenetic analysis together with functional characterization of G/FPPS orthologs revealed that the G/FPPS activity is conserved among
Rosaceae
species. Site-directed mutagenesis and molecular dynamic simulations enabled to identify two conserved amino acids that evolved from ancestral FPPSs and contribute to GPP/FPP product specificity. Overall, this study elucidates the origin of the cytosolic GPP for NUDX1-dependent geraniol production, provides insights into the emergence of the RcG/FPPS1 GPPS activity from the ancestral FPPSs, and shows that RcG/FPPS1 plays a key role in the biosynthesis of volatile terpenoid compounds in rose flowers.
SARS-CoV-2 Serology Across Scales: A Framework for Unbiased Estimation of Cumulative Incidence Incorporating Antibody Kinetics and Epidemic Recency
Authors: Takahashi Saki , Peluso Michael J , Hakim Jill , Turcios Keirstinne , Janson Owen , Routledge Isobel , Busch Michael P , Hoh Rebecca , Tai Viva , Kelly J Daniel , Martin Jeffrey N , Deeks Steven G , Henrich Timothy J , Greenhouse Bryan , Rodríguez-Barraquer Isabel 
Published: April 2023

Abstract
Serosurveys are a key resource for measuring severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) population exposure. A growing body of evidence suggests that asymptomatic and mild infections (together making up over 95% of all infections) are associated with lower antibody titers than severe infections. Antibody levels also peak a few weeks after infection and decay gradually. We developed a statistical approach to produce estimates of cumulative incidence from raw seroprevalence survey results that account for these sources of spectrum bias. We incorporate data on antibody responses on multiple assays from a postinfection longitudinal cohort, along with epidemic time series to account for the timing of a serosurvey relative to how recently individuals may have been infected. We applied this method to produce estimates of cumulative incidence from 5 large-scale SARS-CoV-2 serosurveys across different settings and study designs. We identified substantial differences between raw seroprevalence and cumulative incidence of over 2-fold in the results of some surveys, and we provide a tool for practitioners to generate cumulative incidence estimates with preset or custom parameter values. While unprecedented efforts have been launched to generate SARS-CoV-2 seroprevalence estimates over this past year, interpretation of results from these studies requires properly accounting for both population-level epidemiologic context and individual-level immune dynamics.
Global Epidemiology and Mechanisms of Resistance of Acinetobacter baumannii-calcoaceticus Complex
Authors: Castanheira Mariana , Mendes Rodrigo E , Gales Ana C 
Published: May 2023

Abstract
Acinetobacter baumannii-calcoaceticus complex is the most commonly identified species in the genus Acinetobacter and it accounts for a large percentage of nosocomial infections, including bacteremia, pneumonia, and infections of the skin and urinary tract. A few key clones of A. baumannii-calcoaceticus are currently responsible for the dissemination of these organisms worldwide. Unfortunately, multidrug resistance is a common trait among these clones due to their unrivalled adaptive nature. A. baumannii-calcoaceticus isolates can accumulate resistance traits by a plethora of mechanisms, including horizontal gene transfer, natural transformation, acquisition of mutations, and mobilization of genetic elements that modulate expression of intrinsic and acquired genes.
Exploring the size of Andean condor foraging groups along an altitudinal and latitudinal gradient in the Tropical Andes: Ecological and conservation implications
Authors: Méndez Diego , Vargas Félix Hernán , Sarasola José Hernán , Olea Pedro P 
Published: April 2023

Abstract
Patterns of variation in the size of vulture foraging groups, and their ecological causes and consequences, remain little explored despite strong links with the carrion recycling service that this key functional group provides. We documented the group size-frequency pattern of Andean condors Vultur gryphus gathered to feed on 42 equine carcasses experimentally placed in Bolivia, between 2012 and 2019, along an elevation range of 1,300–4,500 m asl. Based on the location (altitude and latitude) of the foraging groups, we examined the relationship between their size and species’ population parameters (size and trend), habitat conditions, and livestock carcass availability and predictability. Condors utilized a high frequency (93%) of carcasses forming groups that ranged from 1 to 80 individuals (mean = 25, median = 18) and shaped a “lazy-J curve” typical pattern of size-frequency distribution whereby few groups (5, 12%) were large (&gt; 55 individuals) and most (21, 50%) were relatively small (&lt;19 individuals). Group size related to altitude in that most larger groups formed at lower sites (below c. 3,000 m asl), likely following an altitudinal gradient whereby larger groups are more likely to form around larger carcasses (i.e., cattle), which are more likely to occur at lower elevations. Regardless of population size, group size could be an adaptive response of condors via local enhancement for improving individual scavenging efficiency. Many information gaps on this topic still exist, thus we provide a set of questions to address them, especially amidst the unrestricted impacts of human activities that condition vulture survival globally.
On Philip Kitcher's The Main Enterprise of the World: Rethinking Education
Authors: White John 
Published: May 2023

Abstract
This is a long review of a long book, the longest to my knowledge on what educational aims and the curriculum that flows from them should be. The first half of the review is devoted to a brief summary of each of the eleven chapters. The second half raises some critical points. These cover remarks about R.S. Peters' alleged traditionalism; the salience of climate change considerations among educational aims; the claim that the arts, like the sciences, make progress; seeing the elements of morality as a toolbox. The longest critical discussion is about Kitcher's notion of human fulfillment and whether he is right in his view that we should see it in terms of a successful life-plan aimed at furthering ‘the human project’.
Development of a Modern-Style Trench-Arc-Backarc System in the Proto-Tethys Ocean (Qilian Orogenic Belt, NW China)
Authors: Qiao Jinran , Dong Jie , Song Shuguang , Allen Mark B , Wang Chao , Xia Xiaohong , Su Li 
Published: April 2023

Abstract
The development of trench-arc-backarc (TABA) systems is uniquely associated with modern-style plate tectonics on Earth. The Qilian orogenic belt in NW China records the evolution history of the Proto-Tethys Ocean at the transition time from the Proterozoic to Phanerozoic. This paper presents systematic studies of petrography, U–Pb chronology and geochemistry on various rocks from a middle-ocean ridge (MOR)-type ophiolite belt, active continental margin and back-arc basin in the Qilian orogenic belt to address the development of a modern-style TABA system. Arc magmas include felsic intrusions with ages of 531 to 477 Ma and felsic-mafic arc volcanic rocks with ages of 506 to 439 Ma, showing distinctive features of typical magmatic rocks formed at an Andean-type continental margin. The back-arc basin is recorded by a 490- to 448-Ma suprasubduction zone (SSZ)-type ophiolite with boninite, and Silurian turbidite flysch formation. We establish a three-stage tectonic history from the initiation of subduction to the formation of a mature Japan-Sea-type back-arc basin at the active continental margin in the Early Paleozoic era. (1) Northward subduction of Proto-Tethys Ocean initiated and the Andean-type continental arc developed at ~530 to 500 Ma with continual crustal thickening; (2) a tectonic transition occurred from an Andean-type active continental margin to a West Pacific-type active continental margin at ~500 to 490 Ma with rapid thinning of crust to ~35 km; and (3) mature ocean basins and back-arc-basin (BAB) ophiolites were formed in the back-arc extensional environment at ~490 to 450 Ma.