bluuebunny/crossref_metadata_2025 huggingface dataset:
Surface Characterization of Three-Dimensional Printed Fiber-Reinforced Polymer Following an In-Process Mechanical–Chemical Finishing Method
Authors: Nigam Aman , Tai Bruce L.
Published: March 2023

Fiber-reinforced polymer (FRP) additive manufacturing has transformed fused filament fabrication (FFF) by manufacturing products with excellent mechanical characteristics. However, the surface finish and dimensional characteristics of printed FRP parts are typically poor due to protruding fibers and the stair-stepping effect. This parametric study examined an in-process combined mechanical plus chemical finishing technique to improve the surface finish of FRPs manufactured through FFF. This process is particularly useful for internal or complex features that cannot be otherwise finished after printing. In this work, a custom-built three-axis machine with printing, machining, and chemical finishing capabilities was used for the experiments. The effect of mechanical finishing on surface characteristics was first quantified using chip load and spindle speed as independent parameters. Following that, chemical treatment was performed on the already machined surface at two pressing depths (PD), which control the normal contact force acting on the surface. The best surface characteristics were observed at a low chip load of 0.007 mm and a moderately high spindle speed of 20,000 rpm. After chemical treatment using a lower PD, a surface roughness reduction was observed (from 8.041 to 4.988 µm). Increased PD led to even lower Ra values (from 4.988 to 3.538 µm) due to the enhanced fiber encapsulation phenomenon. Finally, the dimensional analysis revealed that the final combined finished samples had less than 1%-dimensional error (0.05 mm), which is an order of magnitude less than the typical error in FFF-printed parts (0.5 mm). This study provides means to conduct finishing in an additive manufacturing environment to reduce the time, labor, and cost associated with post-processing.
Flexible Long-Reach Robotic Limbs Using Tape Springs for Mobility and Manipulation
Authors: Quan Justin , Hong Dennis
Published: March 2023

Conventional mobile robots have difficulty navigating highly unstructured spaces such as caves and forests. In these environments, a highly extendable limb could be useful for deploying hooks to climb over terrain, or for reaching hard-to-access sites for sample collection. This article details a new form of a multimodal mobile robot that utilizes a novel tape spring limb named EEMMMa (elastic extending mechanism for mobility and manipulation). Its innovative U-shaped tape structure allows it to handle loads in tension as well as compression. It can also bend using mechanical multiplexing for a lightweight and compact design that is well suited for mobile robots. For mobility, the limb can extend prismatically to deploy grappling hook anchors to suspend and transport the main body, or even serve as legs. For manipulation, the limb can morph its shape to bend around or over obstacles, allowing it to retrieve distant objects or position cameras around corners. The EEMMMa-1 prototype detailed in this article successfully demonstrates climbing ladders and shelves in 1.5 body lengths per second, and can bend up to 100 deg. A simplified model of the bending kinematics is developed and analyzed. This article concludes by detailing future EEMMMa applications and theories to strengthen the model in future studies.
Parametric Study on Axially Grooved Heat Pipe With Two Heat Sources and One Heat Sink With Multiple Branches
Authors: Bhatt Anand A. , Jain Sanjay V. , Patel Rajesh N. , Vaghela Dipak V.
Published: March 2023

In order to use single heat pipe for multiple heat sources in electronics and space applications, a multibranch heat pipe with two evaporators and a condenser is developed with 20 internal grooves as a wick structure. An experimental investigation is carried out in the present study for axially grooved multibranch heat pipe (AGMBHP) by considering various parameters to obtain the best possible operating condition. AGMBHP is investigated for different filling ratios (range, 75–200%) in a horizontal orientation for equal heat loads (0–240 W) and unequal heat loads (0–120 W) on evaporators. Heat pipe is tested for dynamic characteristics for an optimum filling ratio range of 125–150%. Further, condenser cooling flowrate analysis and different orientation study is carried out and compared for horizontal, gravity-assisted, antigravity, and compound positions to understand the performance of heat pipe. AGMBHP is capable to transmit 240 W heat load with a minimum resistance of 0.192 °C/W in horizontal orientation. The optimum condenser cooling water flowrate is found to be 5 ml/s under tested conditions. AGMBHP is capable of providing effective thermal conductivity as high as 31,824 W/m°C, which is quite suitable for electronics cooling. Orientation study revealed that horizontal orientation is comparatively better amongst all the other orientations for AGMBHP.
Inner-hair-cell induced hearing loss: A biophysical modeling perspective
Authors: Faran Michael , Furst Miriam
Published: March 2023

In recent years, experimental studies have demonstrated that malfunction of the inner-hair cells and their synapse to the auditory nerve is a significant hearing loss (HL) contributor. This study presents a detailed biophysical model of the inner-hair cells embedded in an end-to-end computational model of the auditory pathway with an acoustic signal as an input and prediction of human audiometric thresholds as an output. The contribution of the outer hair cells is included in the mechanical model of the cochlea. Different types of HL were simulated by changing mechanical and biochemical parameters of the inner and outer hair cells. The predicted thresholds yielded common audiograms of hearing impairment. Outer hair cell damage could only introduce threshold shifts at mid-high frequencies up to 40 dB. Inner hair cell damage affects low and high frequencies differently. All types of inner hair cell deficits yielded a maximum of 40 dB HL at low frequencies. Only a significant reduction in the number of cilia of the inner-hair cells yielded HL of up to 120 dB HL at high frequencies. Sloping audiograms can be explained by a combination of gradual change in the number of cilia of inner and outer hair cells along the cochlear partition from apex to base.
Thematic Analysis: The Cross-National Conflict Shifting of the NBA–China Controversy
Authors: He Mu , Tao Weiting
Published: March 2023

In 2019, a controversy between the NBA and China broke out. Although their relationship continues today, negative consequences still linger and cloud their future. As a transnational organization, the NBA was involved in a cross-national controversy, aligning with the theory of cross-national conflict shifting. The current study analyzed 703 posts on Weibo and 1,500 tweets by thematic analysis. It revealed diverse themes of online public discussions regarding the NBA–China controversy. It also found that social media speeded up the transmission of cross-national conflict shifting and complicated the cross-national conflict as it shifted back and forth between the home and host countries. Moreover, the study findings showed that when top executives engage in advocacy by taking a public stand on a controversial sociopolitical issue and get involved with cross-national conflicts, it is hard to separate them from the organization they represent. Also, their public stance might lead to public suspicion that they used social advocacy for private interests. Finally, the themes from the social media posts suggested cultural differences and an ideology crash between the host and home countries’ publics, which generated grander challenges for transnational organizations to deal with.
Understanding Chinese Consumers’ Media Behaviors During Tokyo 2020: An Exploration of Media Consumption Among Different Generations
Authors: Li Bo , Scott Olan K.M. , Wang Jerred Junqi , Xiao Liang
Published: March 2023

With the development and advancement of new technology and the increasing penetration of digital media, traditional media outlets such as TV, radio, and newspapers are not the only platforms for sports audiences to watch major events such as the Olympic Games. In this study, we explored how Chinese Olympic audiences embraced different media platforms to consume the 2020 Tokyo Olympic Games. Through a survey of 383 Chinese participants, results revealed that social media, TV, and digital media were the most popular platforms on which to watch the 2020 Olympic Games. There were generational differences in media behaviors, motivations, and preferences between Generations X, Y, and Z. In addition, findings revealed that traditionally popular sports in China, such as badminton and table tennis, were still the most popular across different generations. Theoretical and practical implications for Chinese viewers are provided.
Total Energy Expenditure and ad Libitum Fluid/Nutrient Intake During a 24-Hour Mountain-Bike Event: A Case Study
Authors: Dodds Patrick , Schoeller Dale , Shriver Tim , Ruby Brent
Published: March 2023

Previous studies have used the doubly labeled water method to evaluate the total energy expenditure (TEE) during Ironman, ultramarathon trail runs, and competitive road cycling. However, the technique has not been applied to a 24-hour cross-country mountain-bike event. Purpose: This case study aimed to measure the TEE, cycling metrics, and ad libitum nutrient/fluid intake during a 24-hour cross-country mountain-bike race. Methods: A trained male cyclist (41 y, 74.1 kg, 172.4 cm) received an oral dose of doubly labeled water prior to the 24-hour event for the calculations of TEE and water turnover. Nude body weight and urine samples were collected prerace, during the race, and postrace. Total nutrient intake and total fluid intake in addition to cycling metrics (speed, power output, cadence, and heart rate) were continuously recorded during the event. Results: The rider completed 383 km coupled with a vertical gain of 7737 m during the 24-hour event. Average speed, power, and heart rate were 16.3 (2) km·h−1, 122 (29) W, and 134 (18) beats·min–1, respectively. TEE and total nutrient intake were 41 and 23.5 MJ, respectively. Total carbohydrate intake was 1192 g with an average hourly intake of 58 (22) g·h−1. Total body weight was 75.3 and 72.3 kg prerace and postrace, respectively, with a measured ad libitum total fluid intake of 13.3 L and a water turnover of 17.2 L. Conclusions: These data provide novel insights for measures of TEE, total energy intake, and total fluid intake during an ultraendurance cross-country mountain-biking event and provide a foundation for future race/training needs.
Efficacy of Dance Intervention for Improving Frailty Among Chinese Older Adults Living in the Community: A Randomized Controlled Trial
Authors: Zhang Xiaohong , van der Schans Cees Peter , Liu Yanhui , Krijnen Wilhelmus Petrus , Hobbelen Johannes Simon Maria
Published: March 2023

Although dance interventions may have lots of advantages in improving frailty, there are few papers focusing on the effects such interventions have on frail older adults living in the community setting. This study investigates whether a dance intervention can improve the level of frailty among Chinese older adults living in the community setting. The dance intervention was done five times a week for 16 weeks. Participants in the control group maintained their normal daily activities. Assessments were conducted at baseline, 8 weeks, and 16 weeks. Mixed models were used to test for the effects on frailty, depression, short physical performance battery, and grip strength between the groups over time. The level of frailty (p < .05) and depression (p < .001) decreased, and short physical performance battery (p < .001) increased over time in the dance group compared with the control group. A dance intervention lasting 16 weeks showed improved frailty, depression, and physical performance among Chinese older adults living in the community setting.
HDAC3 is critical in tumor development and therapeutic resistance in
Kras
-mutant non–small cell lung cancer
Authors: Eichner Lillian J. , Curtis Stephanie D. , Brun Sonja N. , McGuire Caroline K. , Gushterova Irena , Baumgart Joshua T. , Trefts Elijah , Ross Debbie S. , Rymoff Tammy J. , Shaw Reuben J.
Published: March 2023

HDAC3 is one of the main targets of histone deacetylase (HDAC) inhibitors in clinical development as cancer therapies, yet the in vivo role of HDAC3 in solid tumors is unknown. We identified a critical role for HDAC3 in
Kras
-mutant lung cancer. Using genetically engineered mouse models (GEMMs), we found that HDAC3 is required for lung tumor growth in vivo. HDAC3 was found to direct and enhance the transcription effects of the lung cancer lineage transcription factor NKX2-1 to mediate expression of a common set of target genes. We identified FGFR1 as a critical previously unidentified target of HDAC3. Leveraging this, we identified that an HDAC3-dependent transcriptional cassette becomes hyperactivated as
Kras/LKB1
-mutant cells develop resistance to the MEK inhibitor trametinib, and this can be reversed by treatment with the HDAC1/HDAC3 inhibitor entinostat. We found that the combination of entinostat plus trametinib treatment elicits therapeutic benefit in the
Kras/LKB1
GEMM.
High mobility of asteroid particles revealed by measured cohesive force of meteorite fragments
Authors: Nagaashi Yuuya , Nakamura Akiko M.
Published: March 2023

The cohesive force of asteroid particles is a crucial parameter in microgravity. The cohesive force was evaluated under the assumptions of lunar regolith and proportionality to particle size; however, it is sensitive to particle shape. In this study, cohesive-force measurements of meteorite fragments and aggregates consisting of silica microspheres revealed that the cohesive force is independent of the sizes of the fragments and aggregates as well as of the fragment preparation methods. The cohesive forces of the asteroid particles were found to be orders of magnitude smaller than previously predicted, explaining the high mobility of asteroid surface particles identified by space exploration.
Ventilation of the deep Gulf of Mexico and potential insights to the Atlantic Meridional Overturning Circulation
Authors: Amon Rainer M.W. , Ochoa Jose , Candela Julio , Herzka Sharon Z. , Pérez-Brunius Paula , Sheinbaum Julio , Camacho Ibar Víctor F. , Herguera Juan Carlos , Hernández Ayon Martin , Key Robert M. , Molodtsov Sergey
Published: March 2023

Ventilation in the deep Gulf of Mexico (GoM), its connection to the North Atlantic, and its susceptibility to changes of the Atlantic Meridional Overturning Circulation are investigated by combining observations of radiocarbon and volume transport with a Coupled Model Intercomparison Project phase 6 (CMIP6) General Circulation Model (GCM) ensemble output. Radiocarbon data and multiannual volume transport through the Yucatan Channel suggest deep water residence times ~100 years for the GoM. Comparisons to previous radiocarbon observations suggest that the deep GoM has aged in the recent past, consistent with observed raising temperatures and the CMIP6 GCM simulations. The distribution of radiocarbon indicates a time frame of ~160 years between North Atlantic convection and complete ventilation of the deep GoM. This suggests that aging and warming of GoM deep waters were initiated in the North Atlantic before ~1890 consistent with reported rapid and persistent AMOC weakening since the Little Ice Age.
Structural insights into the assembly of gp130 family cytokine signaling complexes
Authors: Zhou Yi , Stevis Panayiotis E. , Cao Jing , Saotome Kei , Wu Jiaxi , Glatman Zaretsky Arielle , Haxhinasto Sokol , Yancopoulos George D. , Murphy Andrew J. , Sleeman Mark W. , Olson William C. , Franklin Matthew C.
Published: March 2023

The interleukin-6 (IL-6) family cytokines signal through gp130 receptor homodimerization or heterodimerization with a second signaling receptor and play crucial roles in various cellular processes. We determined cryo–electron microscopy structures of five signaling complexes of this family, containing full receptor ectodomains bound to their respective ligands ciliary neurotrophic factor, cardiotrophin-like cytokine factor 1 (CLCF1), leukemia inhibitory factor, IL-27, and IL-6. Our structures collectively reveal similarities and differences in the assembly of these complexes. The acute bends at both signaling receptors in all complexes bring the membrane-proximal domains to a ~30 angstrom range but with distinct distances and orientations. We also reveal how CLCF1 engages its secretion chaperone cytokine receptor–like factor 1. Our data provide valuable insights for therapeutically targeting gp130-mediated signaling.
A mast cell–thermoregulatory neuron circuit axis regulates hypothermia in anaphylaxis
Authors: Bao Chunjing , Chen Ouyang , Sheng Huaxin , Zhang Jeffrey , Luo Yikai , Hayes Byron W. , Liang Han , Liedtke Wolfgang , Ji Ru-Rong , Abraham Soman N.
Published: March 2023

IgE-mediated anaphylaxis is an acute life-threatening systemic reaction to allergens, including certain foods and venoms. Anaphylaxis is triggered when blood-borne allergens activate IgE-bound perivascular mast cells (MCs) throughout the body, causing an extensive systemic release of MC mediators. Through precipitating vasodilatation and vascular leakage, these mediators are believed to trigger a sharp drop in blood pressure in humans and in core body temperature in animals. We report that the IgE/MC-mediated drop in body temperature in mice associated with anaphylaxis also requires the body’s thermoregulatory neural circuit. This circuit is activated when granule-borne chymase from MCs is deposited on proximal TRPV1
+
sensory neurons and stimulates them via protease-activated receptor-1. This triggers the activation of the body’s thermoregulatory neural network, which rapidly attenuates brown adipose tissue thermogenesis to cause hypothermia. Mice deficient in either chymase or TRPV1 exhibited limited IgE-mediated anaphylaxis, and, in wild-type mice, anaphylaxis could be recapitulated simply by systemically activating TRPV1
+
sensory neurons. Thus, in addition to their well-known effects on the vasculature, MC products, especially chymase, promote IgE-mediated anaphylaxis by activating the thermoregulatory neural circuit.
Supplemental Material: Coupled alkaline high-Nb mafic rocks and adakitic granodiorites: Products of Neoproterozoic back-arc extension at the western margin of the Yangtze Block, South China
Authors: Huang Bin , Wang Wei , al. et
Published: March 2023

 Figure S1: Chondrite-normalized rare earth element (REE) distribution patterns of zircon grains from Yuanmou granodiorite, gabbros, and alkaline basalts. Figure S2: Zr versus elements diagram for the Yuanmou pluton and associated dike to evaluate post-crystallization mobility of major and trace elements. Figure S3: Harker diagram of Yuanmou adakitic and mafic rocks, magmatic evolution was simulated by using the software “Magma Chamber Simulator” with recharge and fractional crystallization (RFC) processes. Figure S4: Plots of εHf(t) versus εNd(t) diagram for the Neoproterozoic adakitic rocks from the western margin of the Yangtze Block. Table S1: Concordant results of zircon U-Pb ages for the Neoproterozoic Yuanmou granodiorite pluton and its mafic microgranular enclaves (MMEs) and associated dike. Table S2: The major element analysis results of plagioclases for the Yuanmou granodiorites and MMEs and the major element analysis results of amphiboles and clinopyroxenes for the Yuanmou MMEs. Table S3: The major and trace element analysis results for the Neoproterozoic adakitic, alkaline mafic and sub-alkaline mafic pluton in the western margin of the Yangtze Block. Table S4: The isotope results for the Neoproterozoic mafic and adakitic pluton in the western margin of the Yangtze Block. File S1: Original file of MCS. Magmatic evolution simulation of Yuanmou adakitic and mafic rocks, simulated by using the software “Magma Chamber Simulator” with recharge and fractional crystallization (RFC) processes. 
Haemodynamic and metabolic adaptations in coronary microvascular disease
Authors: Noaman Samer , Kaye David M , Nanayakkara Shane , Dart Anthony M , Yong Andy S C , Ng Martin , Vizi Donna , Duffy Stephen J , Cox Nicholas , Chan William
Published: March 2023

Objective

We aimed to evaluate the microcirculatory resistance (MR) and myocardial metabolic adaptations at rest and in response to increased cardiac workload in patients with suspected coronary microvascular dysfunction (CMD).

Methods

Patients with objective ischaemia and/or myocardial injury and non-obstructive coronary artery disease underwent thermodilution-derived microcirculatory assessment and transcardiac blood sampling during graded exercise with adenosine-mediated hyperaemia. We measured MR at rest and following supine cycle ergometry. Patients (n=24) were stratified by the resting index of MR (IMR) into normal-IMR (IMR<22U, n=12) and high-IMR groups (IMR≥22U, n=12).

Results

The mean age was 57 years; 67% were males and 38% had hypertension. The normal-IMR group had increased IMR response to exercise (16±5 vs 23±12U, p=0.03) compared with the high-IMR group, who had persistently elevated IMR at rest and following exercise (38±19 vs 33±15U, p=0.39) despite similar exercise duration and rate-pressure product between the groups, both p>0.05. The normal-IMR group had augmented oxygen extraction ratio following exercise (53±18 vs 64±11%, p=0.03) compared with the high-IMR group (65±14 vs 59±11%, p=0.26). The postexercise lactate uptake was greater in the high-IMR (0.04±0.05 vs 0.11±0.07 mmol/L, p=0.004) compared with normal-IMR group (0.08±0.06 vs 0.09±0.09 mmol/L, p=0.67). The high-IMR group demonstrated greater troponin release following exercise compared with the normal-IMR group (0.13±0.12 vs 0.001±0.05 ng/L, p=0.03).

Conclusions

Patients with suspected CMD appear to have distinctive microcirculatory resistive and myocardial metabolic profiles at rest and in response to exercise. These differences in phenotypes may permit individualised therapies targeting microvascular responsiveness (normal-IMR group) and/or myocardial metabolic adaptations (normal-IMR and high-IMR groups).
Adverse events associated with microsurgial treatment for ruptured intracerebral aneurysms: a prospective nationwide study on subarachnoid haemorrhage in Sweden
Authors: Baldvinsdóttir Bryndís , Kronvall Erik , Ronne-Engström Elisabeth , Enblad Per , Lindvall Peter , Aineskog Helena , Friðriksson Steen , Klurfan Paula , Svensson Mikael , Alpkvist Peter , Hillman Jan , Eneling Johanna , Nilsson Ola G
Published: March 2023

Background

Adverse events (AEs) or complications may arise secondary to the treatment of aneurysmal subarachnoid haemorrhage (SAH). The aim of this study was to identify AEs associated with microsurgical occlusion of ruptured aneurysms, as well as to analyse their risk factors and impact on functional outcome.

Methods

Patients with aneurysmal SAH admitted to the neurosurgical centres in Sweden were prospectively registered during a 3.5-year period (2014–2018). AEs were categorised as intraoperative or postoperative. A range of variables from patient history and SAH characteristics were explored as potential risk factors for an AE. Functional outcome was assessed approximately 1 year after the bleeding using the extended Glasgow Outcome Scale.

Results

In total, 1037 patients were treated for ruptured aneurysms, of which, 322 patients were treated with microsurgery. There were 105 surgical AEs in 97 patients (30%); 94 were intraoperative AEs in 79 patients (25%). Aneurysm rerupture occurred in 43 patients (13%), temporary occlusion of the parent artery >5 min in 26 patients (8%) and adjacent vessel injury in 25 patients (8%). High Fisher grade and brain oedema on CT were related to increased risk of AEs. At follow-up, 38% of patients had unfavourable outcome. Patients suffering AEs were more likely to have unfavourable outcome (OR 2.3, 95% CI 1.10 to 4.69).

Conclusion

Intraoperative AEs occurred in 25% of patients treated with microsurgery for ruptured intracerebral aneurysm in this nationwide survey. Although most operated patients had favourable outcome, AEs were associated with increased risk of unfavourable outcome.
Medical specimens and the erasure of racial violence: the case of Harriet Cole
Authors: Lawrence Susan C , Lederer Susan E
Published: March 2023

This article analyses the complex narrative of Harriet Cole, a 36-year-old African-American woman whose body was delivered to the anatomy department of Hahnemann Medical School in 1888. The anatomist Rufus B Weaver used her preserved remains to create a singular anatomical specimen, an intact extraction of the ‘cerebro-spinal nervous system’. Initially anonymised, deracialised and unsexed, the central nervous system specimen endured for decades before her identity as a working-class woman of colour was reunited with her remains. In the 1930s, media accounts began to circulate that Harriet Cole had bequeathed her remains to the anatomist, a claim that continues to circulate uncritically in the biomedical literature today. Although we conclude that this is likely a confabulation that erased the history of violence to her autonomy and her dead body, the rhetorical possibility that Harriet Cole might have chosen to donate her body to the medical school reflects the racial, political and legal dimensions that influenced how and why the story of Harriet Cole’s ‘gift’ served multiple purposes in the century and a half since her death.
John Buchan’s race through life, chased by his only foe—illness
Authors: Durey Jill Felicity
Published: March 2023

This article examines John Buchan’s experience of gastric illness, dyspepsia and duodenal ulcers within the medical context of his life during the first half of the twentieth century. In tracing some of the different and changing approaches to gastric illness over the intervening decades, it compares the medical knowledge and practices of that period with medical knowledge and treatment today. The article’s low key empirical intersectional examination, too, touches on both ethics and justice. Its importance lies not only in its discussion on past and present medicine, but also in its scrutiny of Buchan’s extraordinarily dutiful approach to his active and varied careers, often marred for him by sudden onsets of illness. Buchan’s coping mechanisms, including mental and physical endurance, are spotlighted in his life and in some of his works, frequently written when he was in pain, or recuperating from illness. Both his fiction and non-fiction had multiple purposes: to support his extended family; to help his country; to help his fellow countrymen escape into adventure during war; and to help himself escape from pain.
THE SPATIAL-TEMPORAL DIFFERENTIATION IN AIR POLLUTION AND INDUSTRY STRUCTURE — EVIDENCE FROM THE METROPOLITAN AREA OF BEIJING–TIANJIN–HEBEI URBAN IN CHINA
Authors: HUI YING , DAI HONGWEI , CHANG ZHONGZE , MAO PEI
Published: March 2023

In developing countries, environmental problems are often intertwined with industrial spatial distribution and migration. This paper is the first in this field to apply the standard deviational ellipse (SDE) method to the analysis of spatial agglomeration and spatiotemporal evolution of air pollution in 13 cities in the Beijing–Tianjin–Hebei region (BTH). According to the industrial classification, each industry could be further divided into five sub-industries: labor-intensive, capital-intensive, technology-intensive, pollution-intensive, and the mining industry. The discussion includes an exploration of the relationship between environmental quality and the spatial distribution of different sub-industries, along with their dynamic changes in migration. This paper also describes the innovative use of the geographically weighted regression (GWR) to study the impact of the whole industry and sub-industries on the environment. The main conclusions of this paper are as follows: (i) Both air pollution and the industry have obvious spatial agglomeration characteristics. (ii) The spatial difference coefficients between the secondary industry and environmental pollution and between various sub-industries and environmental pollution are small, and there is spatial consistency. (iii) Capital-intensive industries represent a primary source of air pollution. In addition to the slowdown of the tertiary industry, the contribution of various types of sub-industries to environmental pollution displays an increasing trend.
Bag-of-Tasks Scheduling with Rejection in Large Computing Systems
Authors: Li Weidong
Published: March 2023

We are given a set of [Formula: see text] identical parallel machines and a set of [Formula: see text] jobs in large computing systems, where each job [Formula: see text] consists of a bag of [Formula: see text] identical tasks with a processing time [Formula: see text], and has a rejection penalty [Formula: see text]. Job [Formula: see text] is either accepted in which case all the [Formula: see text] tasks must be processed by one of the machines, or rejected which incurs a rejection penalty [Formula: see text]. The problem of bag-of-tasks scheduling with rejection is to find a feasible schedule, so as to minimize the makespan plus the total rejection penalty of all rejected jobs. In this paper, we present a polynomial time approximation scheme.
Echo State Network-Enabled Intelligent Smart Sensor Design for Creating a Robotic Nervous System
Authors: Ye Dawei , Cao Bingxin , Zhou Weiping
Published: March 2023

Introduction: The echo states that networks in the Internet of Things (IoT) are currently being implemented in the widest sense. Echo state networks are fast and efficient recurrent neural networks. This consists of an input layer, a reservoir with many sparsely connected neurons, and an output layer. Issues: In the existing wireless sensor networks, strong mobility may disrupt an existing link between two communicating nodes. There is an inconvenience in data communication, and then it searches for a new node to build a better connection. Methods: To overcome these issues, the recently introduced echo state network (ESN) model opened the way to an extremely efficient approach for designing neural networks for temporal data. The study focuses on the ESN-enabled Intelligent Smart Sensor Design (IS2D) for creating the robotic nervous system with a smart healthcare Digital Nervous System (DNS) using the techniques of IoT, DNS, and Smart Sensor Design and Strain Sensor Fabrication (SSF). Results: Experimental results demonstrate the training set testing against the IS2D, the confusion matrix for ESN outcome, the real-time healthcare monitoring for the DNS, the IS2D sensor accuracy, and the DNS intensity calculation. Discussion: The performance analysis of the proposed model in realistic environments attests to the benefits of energy-centric metrics such as energy consumption, network lifetime, delay, and throughput. Finally, we discuss the challenges and opportunities by summarizing the study and proposing possible future works. The training set testing against the IS2D is based on time count, and the voltage result is estimated. The first portion of the data set should be 11.46% at the initial level. Further, this will increase from 1% to 5%, from 6% to 10%, and from 16% to 28% at the consecutive data set. The confusion matrix for ESN outcome is based on accuracy 28.45% higher than the existing strategies. In this part, the initial accuracy is 8.45% while accessing the initial stage. This value should increase with consecutive data sets from 18.45% to 28.45%.
A Memristive-Based Design of a Core Digital Circuit for Elliptic Curve Cryptography
Authors: Alammari Khalid , Ahmadi Majid , Ahmadi Arash
Published: March 2023

The new emerging non-volatile memory (NVM) devices known as memristors could be the promising candidate for future digital architecture, owing to their nanoscale size and its ability to integrate with the existing CMOS technology. The device has involved in various applications from memory design to analog and digital circuit design. In this paper, a combination of memristor devices and CMOS transistors is working together to form a hybrid CMOS-memristor circuit for XAX- Module, a core element used as digital circuit for elliptic curve cryptography. The proposed design was implemented using Pt/TaOx/Ta memristor device and simulated in Cadence Virtuoso. The simulation results demonstrate the design functionality. The proposed module appears to be efficient in terms of layout area, delay and power consumption since the design utilizes the hybrid CMOS/memristor gates.
PtNiCo NANOSHEETS SUPPORTED BY SULFONIC GROUPS GRAFTED ON REDUCED GRAPHENE OXIDE AS EFFICIENT ELECTROCATALYSTS FOR OXYGEN REDUCTION REACTION
Authors: OUYANG CHUN , XUN DAOMAO , GAO PINGPING , QIAO YANXIN
Published: March 2023

The ternary PtNiCo catalyst grafted by sulfonic group on reduced graphene oxide (RGO–SO3H) was prepared by a simple solvothermal method. The sheets of nanostructure were stacked in the shape of near-sphere by field-emission scanning electron microscope (FESEM). X-ray diffraction, X-ray photoelectron spectroscopy and Raman spectroscopy were carried out to explore the phase structure, element analysis and carbon hybridization, respectively. The ternary PtNiCo alloys were evenly distributed on the supports of RGO–SO3H with size ranging from tens of nanometer in thickness and hundreds of nanometer in length. The electrocatalysis of PtNiCo/RGO–SO3H was superior to that of PtNiCo/RGO and PtNiCo/GO catalyst for ORR. The stability of PtNiCo/RGO–SO3H catalysts was characterized by the electrochemical surface area (ECSA) with 35% loss of the hydrogen adsorption/desorption after repeating 5000 cycles. The –SO3H groups grafted on RGO were in favor of ORR and anchoring site for PtNiCo nanoparticles. The high lattice contraction will support the retention of Ni and Co to enhance the catalyst activity in the ternary PtNiCo alloy. The synergistic effect of –SO3H groups and alloying elements can improve the catalytic efficiency and stability of PtNiCo/RGO–SO3H in the potential application of proton exchange membrane fuel cells.
PIRAP: Data Crawling and Internet of Things-Based Opportunity and Challenge Analysis of Migrant Workers’ Entrepreneurship Based on Rural Revitalization Environment
Authors: Liu Yanlan
Published: March 2023

The main obstacles to migrant workers starting businesses when they return to their hometowns are their own lack of financial literacy and aptitude, a lack of sufficient venture capital, and inadequate financing options. This paper conducts an analysis of the opportunities and challenges under the rural revitalization environment in conjunction with the Internet of Things Technology, through which a migrant labor entrepreneurship analysis platform is built. Data crawling technology is applied to capture internet data resources related to innovative entrepreneurship in the data collection module, and the entrepreneurship data is processed by the Internet of Things Technology. Based on the research, the approach suggested in this paper has its benefits for analyzing the opportunities and difficulties that migrant workers encounter in a rural revitalization context, in order to finally provide some theoretical support for pertinent research.
PIRAP: A Study on Optimized Multi-Language Classification and Text Categorization Using Supervised Hybrid Machine Learning Approaches
Authors: Aladakatti Shweta S. , Durai Senthil Kumar Swami
Published: March 2023

Nowadays, all the records in various languages are accessible with their advanced structures. For simple recovery of these digitized records, these reports should be ordered into a class as indicated by their content. Text Categorization is an area of Text Mining which helps to overcome this challenge. Text Classification is a demonstration of allotting classes to records. This paper investigates Text Classification works done in foreign Languages, regional languages and a list of books’ content. Messages available in different languages force the difficulties of NLP approaches. This study shows that supervised ML algorithms such as Logistic regression, Naive Bayes classifier, [Formula: see text]-Nearest-Neighbor classifier, Decision Tree and SVMs performed better for Text Classification tasks. The automated document classification technique is useful in our day-to-day life to find out the type of language and different department books based on their text content. We have been using different foreign and regional languages here to classify such as Tamil, Telugu, Kannada, Bengali, English, Spanish, French, Russian and German. Here, we utilize one versus all SVMs for multi-characterization with 3-crease Cross Validation in all cases and see that SVMs outperform different classifiers. This implementation is done by using hybrid classifiers and it depicts analyses with delicate edge straight SVMs as well as bit-based SVMs.
Constrained Parameter-Splitting Multiple-Scales Method for the Primary/Sub-Harmonic Resonance of a Cantilever-Type Vibration Energy Harvester
Authors: Du Hai-En , Li Li-Juan , Er Guo-Kang , Iu Vai Pan
Published: March 2023

In this paper, the approximate analytical solutions obtained by using the constrained parameter-splitting-multiple-scales (C-PSMS) method to the primary and [Formula: see text] sub-harmonic resonances responses of a cantilever-type energy harvester are presented. The C-PSMS method combines the multiple-scales (MS) method with the harmonic balance (HB) method. Different from the erroneous stability results obtained by using the Floquet theory and the classical HB method, accurate stability results are obtained by using the C-PSMS method. It is found that the correction to the erroneous solution when the HB method and Floquet theory are adopted in the stability analysis of the primary and [Formula: see text] sub-harmonic resonances of a largely deflected cantilever-type energy harvester is necessary. On the contrary, the C-PSMS method gives much improved results compared to those obtained by using Floquet theory and HB method when the numbers of terms in each response expression are the same. The frequency response curves of the primary resonance and the [Formula: see text] sub-harmonic resonance of the harvester obtained by the C-PSMS method are compared to those obtained by the HB method and verified by those obtained by the fourth-order Runge–Kutta method. Moreover, the basin of attraction based on the fourth-order Runge–Kutta method is presented to confirm the inaccurate stability results obtained by using the HB method and Floquet theory. The convergence examinations on the stability analysis carried out by the HB method and Floquet theory show that enough terms in the response assumption are needed to achieve relatively accurate stability results when studying the stability of the primary and sub-harmonic resonances of a cantilever by using the HB method and the Floquet theory. However, the low-order C-PSMS method is able to give an accurate frequency-amplitude response and accurate stability results of the primary and sub-harmonic resonances of a largely deflected cantilever-type energy harvester.
Time Series Analysis of Sentiment: A Comparison of the US and UK Coronavirus Subreddits
Authors: Harris Martyn , Levene Mark , Mudinas Andrius
Published: March 2023

In this paper, we investigate the dynamics of the social media response on Reddit to the COVID-19 pandemic during its first year (February 2020–2021). The emergence of region-specific subreddits allows us to compare the reactions of individuals posting their opinions on social media about the global pandemic from two perspectives — the UK and the US.

In particular, we look at the volume of posts and comments on these two subreddits, and at the sentiment expressed in these posts and comments over time as a measure of the public level of engagement and response. Whilst an analysis of volume allows us to quantify how interested people are about the pandemic as it unfolds, sentiment analysis goes beyond this and informs us about how people respond towards the pandemic based on the textual content in the posts and comments. The research looks to develop a framework for analyzing the social response on Reddit to a large-scale event in terms of the level of engagement measured through post and comment volumes, and opinion measured through an analysis of sentiment applied to the post content. In order to compare the subreddits, we show the trend in the time series through the application of moving average methods. We also show how to identify the lag between time series and align them using cross-correlation. Moreover, once aligned, we apply moving correlations to the time series to measure their degree of correspondence to see if there is a similar response to the pandemic across the two groups (UK and US). The results indicate that both subreddits were posting in high volumes at specific points during the pandemic, and that, despite the generally negative sentiment in the posts and comments, a gradual decrease in negativity leading up to the start of 2021 is observed as measures are put in place by governments and organizations to contain the virus and provide necessary support the affected populations.
Nonreciprocal unconventional photon blockade with spinning two-mode cavity coupled via χ(2) nonlinearities
Authors: Luan Tianze , Yang Jiaxin , Wang Jiao , Shen Hongzhi , Zhou Yanhui , Yi Xuexi
Published: March 2023

In this paper, we propose how to achieve nonreciprocal unconventional photon blockade (NUPB) in a spinning system consisting of two single-mode cavities with [Formula: see text] nonlinearity through the Fizeau drag when the two cavities are driven simultaneously. Under the weak driving condition, we discuss the physical origins of nonreciprocal unconventional photon blockade, which originates from the destructive interference between different paths from the ground state to the two-photon state by driving the device from the left side. While the quantum interference paths are broken when the device is driven from the right side, resulting in photon bunching. The optimal condition for the nonreciprocal unconventional photon blockade is analytically derived. We also calculate the analytical expression of the delayed-time second-order correction function and compare it with the numerical simulation. Finally, we show that nonreciprocal unconventional photon blockade never occurs with a single driving since two closed quantum pathways cannot be formed.
The Least Squares Time Element Method Based on Wavelet Approximation for Structural Dynamic Load Identification
Authors: Lu Cheng , Zhu Liangcong , Liu Jie , Meng Xianghua , Li Kun
Published: March 2023

Dynamic load identification is a commonly used and quite important approach to obtain the excitation loads of structures in engineering practice. In this paper, a novel dynamic load identification method combining the least squares time element method (LSTEM), wavelet scaling function and regularization method is proposed, which performs a better accuracy and a stronger anti-noise ability. It decomposes the time history of dynamic load into a series of time elements, and approximates the load profile at each time element using wavelet scaling functions. In order to balance the accuracy and efficiency for load identification, an optimal wavelet resolution is then determined. Simultaneously, the least squares time element model is derived which establishes the forward model for computing the wavelet coefficient. Finally, the wavelet coefficients for dynamic load identification are accurately and stably solved by implementing regularization. By this method, on the one hand, the wavelet scaling function and LSTEM improve the identification accuracy, and on the other hand, the integral process in the least squares operation gains the anti-noise ability for the load identification. A numerical example of a roof structure and an experiment of a composite laminate are studied and verify the effectiveness of the proposed method.
ℒ1 Adaptive Path-Following of Airships in Wind
Authors: Souanef Toufik , Whidborne James , Liu Shi Qian
Published: March 2023

This paper proposes an adaptive, three-dimensional (3D) path-following controller for airships in the presence of wind disturbances, which explicitly considers that wind speed is time-varying. The main idea is to formulate airship path-following as control design for systems in the presence of parametric uncertainties and external disturbances. Assuming that there is no prior information on wind, the proposed solution is based on the [Formula: see text] adaptive controller. This approach makes clear statements for performance specifications of the controller and relaxes the common assumption that wind speed is constant. This makes the design more realistic and the analysis more rigorous, because in practice, the wind speed may be time-varying. The results of the simulation indicate that the path following system has a good performance and is robust against wind disturbances.
Voting Schemes in DAO Governance
Authors: Ding Qinxu , Xu Weibiao , Wang Zhiguo , Lee David Kuo Chuen
Published: March 2023

This paper aims to provide a comprehensive overview of the different voting schemes used in DAO governance. We will examine the various features of these schemes and compare their differences. We propose a new hypothetical voting mechanism specifically designed for decentralized and permissionless DAO governance. This new scheme, which incorporates incentive designs, is intended to be more efficient than existing schemes and can be easily adapted to a permissioned scenario. Through this examination and proposal, we hope to contribute to the ongoing discourse on how to govern decentralized autonomous organizations effectively.
The Price of Anarchy of Strategic Queuing Systems
Authors: Gaitonde Jason , Tardos Éva
Published: March 2023

Bounding the price of anarchy, which quantifies the damage to social welfare due to selfish behavior of the participants, has been an important area of research in algorithmic game theory. Classical work on such bounds in repeated games makes the strong assumption that the subsequent rounds of the repeated games are independent beyond any influence on play from past history. This work studies such bounds in environments that themselves change due to the actions of the agents. Concretely, we consider this problem in discrete-time queuing systems, where competitive queues try to get their packets served. In this model, a queue gets to send a packet at each step to one of the servers, which will attempt to serve the oldest arriving packet, and unprocessed packets are returned to each queue. We model this as a repeated game where queues compete for the capacity of the servers, but where the state of the game evolves as the length of each queue varies.

We analyze this queuing system from multiple perspectives. As a baseline measure, we first establish precise conditions on the queuing arrival rates and service capacities that ensure all packets clear efficiently under centralized coordination. We then show that if queues strategically choose servers according to independent and stationary distributions, the system remains stable provided it would be stable under coordination with arrival rates scaled up by a factor of just

\(\frac{e}{e-1}\)

. Finally, we extend these results to no-regret learning dynamics: if queues use learning algorithms satisfying the no-regret property to choose servers, then the requisite factor increases to 2, and both of these bounds are tight. Both of these results require new probabilistic techniques compared to the classical price of anarchy literature and show that in such settings, no-regret learning can exhibit efficiency loss due to myopia.