bluuebunny/crossref_metadata_2025_split huggingface dataset:
Three-wavelength-switchable narrow linewidth thulium-doped fiber laser enabled by a compound-cavity filter and a sampled fiber Bragg grating
Authors: Yang Dandan , Yan Fengping , Feng Ting , Qin Qi , Cheng Dan , Li Ting , Yu Chenhao , Wang Xiangdong , Jiang Youchao , Bai Yan , Suo Yuping , Kumamoto Kazuo 
Published: November 2022

A single-longitudinal-mode (SLM), narrow linewidth thulium-doped fiber laser with a sampled fiber Bragg grating (SFBG), switchable among three wavelengths, with a cascade dual-coupler-ring-based compound cavity (DCR-CC) filter, is proposed and demonstrated. The coupling design, simulation analysis, and characterization of the DCR-CC filter provide the foundation for the experiment. A nonlinear polarization rotation system was injected into the cavity to suppress gain competition and achieve a laser switchable among three wavelengths. The fluctuations of the wavelength and power of the output laser are less than 0.60 nm and 0.91 dBm, respectively. For demonstration, the laser maintained in SLM operation measured by the delayed self-heterodyne method has a linewidth of

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Photonic crystal based design of a 3-bit all-optical parity checker and generator for all-optical computing
Authors: Anagha E. G. , Jeyachitra R. K. 
Published: November 2022

Photonic crystal based designs of 3-bit even parity checker and
generator circuits are proposed in this paper. These circuits are
realized for the first time, to the best of our knowledge, on a
photonic crystal platform with the aim of achieving power efficient,
simple, and compact devices suitable for photonic integrated circuits.
The proposed structures are realized using all-optical reconfigurable
XOR/NOT gates with compact dimensions, low power consumption, and high
contrast ratios. The operation is based on a linear interference
effect leading to reduced power consumptions feasible for operation in
the telecommunication wavelength of 1550 nm. The various
performance metrics such as contrast ratio, response time, and data
rate are analyzed based on simulations using the finite difference
time domain technique. All structures achieve small footprints and low
response times with operation speeds up to 1 Tbps. The designs are
based purely on silicon material, which enables ease of fabrication
and offers easy compatibility with existing opto-electronic systems as
well as with upcoming all-optical systems. The above circuits have
wide applications in optical computing, error correction, detection,
and optical cryptography.
Pre-established entanglement distribution algorithm in quantum networks
Authors: Wang Yazi , Yu Xiaosong , Zhao Yongli , Nag Avishek , Zhang Jie 
Published: November 2022

As the basic principle of quantum networks, quantum entanglement can enable important quantum applications such as teleportation and quantum-key distribution. To realize wide-area quantum communication, entanglement establishment between two remote communication parties is vital, and it requires effective entanglement distribution strategies. Entanglement distribution network models of distributed and centralized entangled pair sources are constructed, based on which two entanglement-distribution algorithms are proposed, i.e., the real-time entanglement distribution (R-TED) algorithm and the pre-established entanglement distribution (P-EED) algorithm, to achieve end-to-end multi-hop entanglement establishment. For the former, the objective is to build long-distance entanglements via hop-by-hop entanglement tentatively and entanglement swapping to finally glue them together. For the latter, which uses pre-established entanglement, entanglements can be established in advance to patch multiple link-level entanglements via entanglement swapping. Simulation results show that as the number of time slots increases, the P-EED algorithm is more efficient and has higher entanglement establishment probability than the R-TED algorithm to establish end-to-end entanglement; while there are fewer memory cells in a quantum memory, such as 10, the R-TED algorithm provides more stable entanglement distribution compared to the P-EED algorithm.
Nijboer–Zernike’s aberration theory: computational achievements via Tchebychev’s polynomials approximation theory
Authors: Borghi Riccardo 
Published: November 2022

Nijboer–Zernike’s diffraction theory of aberration is a nearly abandoned jewel of physical optics. The present paper constitutes an attempt to extend its practical feasibility. It is found that such a task can be achieved by using what is probably the most important property of Tchebychev’s polynomials.
The Upswing: How We Came Together a Century Ago and How We Can Do It Again, Robert D. Putnam and Shalyn Romney Garrett (2020)
Authors: Davies Ian 
Published: November 2022

Review of: The Upswing: How We Came Together a Century Ago and How We Can Do It Again, Robert D. Putnam and Shalyn Romney Garrett (2020)
London: Swift Press, 465 pp.,
ISBN 978-1-80075-002-9, h/bk, £25
The History of Trans Representation in American Television and Film Genres, Traci B. Abbott (2022)
Authors: Burger Alissa 
Published: November 2022

Review of: The History of Trans Representation in American Television and Film Genres, Traci B. Abbott (2022)
Cham: Palgrave Macmillan, 293 pp.,
ISBN 978-3-03097-792-4, h/bk, $119.99
ISBN 978-3-03097-793-1, e-book, $89.00
Kuliner Tradisi Menjadi Daya Tarik Pemasaran Pariwisata Ziarah di Kudus
Authors: Indrahti Sri 
Published: November 2022

Kulier upacara tradisi selalu dihadirkan bertepatan dengan waktu ritual tersebut dilakukan, serta menjadi perhatian utama dalam rangkaian kegiatan karena mempunyai makna dan pengharapan dalam kehidupan bermasyarakat pada masa mendatang. Masyarakat sebagai pendukung dan pelestari upacara tradisi selalu menyambut dengan antusias dan pengharapan yang tinggi pada keberlangsungan upacara tradisi sekaligus kuliner yang menyertai.Artikel ini membahas permasalahan tentang keterkaitan antara kuliner tradisi dan pemasaran pariwisata sehingga masyarakat pendukung upacara mempunyai kepedulian yang besar untuk melestarikan. Tujuan penulisan, dengan mengetahui motivasi dan alasan yang mendasari masyarakat pendukung diharapkan ditemukan upaya-upaya pemberdayaan wisata ziarah. Metode pengumpulan dilakukan dengan obeservasi ke lokasi penelitian, melakukan wawancara dengan pelaku upacara tradisi serta pelaku wisata ziarah yang menikmati manfaat dari kuliner tradisi tersebut. Hasil dari penulisan. Persiapan dilakukan dengan sebaik-baiknya, mulai dari bahan baku yang harus ada, orang yang terpilih untuk memasak serta tokoh masyarakat yang bertugas memimpin do’a sebelum beragam kuliner dihidangkan. Makanan kuliner tradisi menjadi penghantar do’a kebaikan bagi seluruh masyarakat pendukung upacar tradisi. Penulisan artikel ini, dimulai dengan pengumpulan data tertulis yang sudah ada serta dilengkapi dengan wawancara pada pelaku upacara serta penikmat upacara baik wisatawan lokal maupun antar propinsi. Data dikumpulkan dan dilakukan analisa untuk mempertemukan antara motivasi tetap melakukan dan melestarikan upacara tradisi serta manfaat yang dirasakan oleh masyarakat pendukung upacara. Beberapa jenis kuliner menjadi daya tarik bagi upacara sendiri maupun kunjungan wisata ziarah yang ada di Kudus.
Chopin w tłumaczeniu Michała Bristigera w „De Musica” na podstawie książki Luciena Bourguèsa i Alexandre’a Denéréaza
Authors: Poniatowska Irena 
Published: November 2022

Michał Bristiger took a fragment from the book La musique et la vie interieure by L. Bourguès and A. Denéréaz published in 1921, translated it under the title Chopin, and published it in “De musica” vol. I–III in 2006. The authors, who represented energo-psychological research approach, a theory that was being promoted at that time (H. Mersman, Angewandte Musikaesthetik, 1926 and E. Kurth, Musikpsychologie), provided a psychological and musical interpretation of Chopin’s melodics (linked to harmony and texture), and their significance in the integration of form. They distinguish such categories as c o n t i n u i t y and p e n d u l u m m o t i o n, or undulating, wave-like movements that expand and lead to a culmination, the outflow from which takes the form of, for example, a gliding flight, “plané”. They describe Chopin’s imagination as ballistic. Previous research had focused exclusively on the microstructures of melody, on characteristic intervals, typical phrases, expressive gestures, and not on the flow, on the impulses in the creation of contrast, on the rising and falling of the melodic line, and for this reason the Chopin chapter in this book remains a source of inspiration to this day.
Determining relationship between bone screw insertion torque and insertion speed
Authors: Wilkie Jack A , Rauter Georg , Möller Knut 
Published: November 2022

Abstract
Bone screws are used in many orthopaedic procedures. For low-density cancellous and osteoporotic bone, the torque margin for bone screw insertion can be low; over-tightening will strip the threads, while under-tightening may allow screw loosening over time. A model-based system of automatic individualised torque regulation has been proposed, however current efforts assume speed-independence. This publication addresses the lack of knowledge on the speed dependance of insertion torque. Therefore, a bone screw was inserted at various speeds between 2.5 and 25 rpm into 4 different densities of polyurethane foam synthetic bone. A statistically significant upwards trend was found for all materials (p < 0.05). These findings can be used to correct identified bone strength values from previous models, although investigating the physical cause may improve correction schemes.
Model-based analysis and optimization of pressure-controlled ventilation of COPD patients in relation to BMI
Authors: Hennigs Carlotta , Brehmer Kai , Hardel Tim Tristan , Rostalski Philipp 
Published: November 2022

Abstract
This article presents an approach for model-based and personalized determination of inspiratory pressure and inspiratory time in pressure-controlled ventilation. Lung mechanics are strongly dependent on weight and affected by lung diseases such as COPD. Based on a simplified model of the lung with weight- and COPD-specific parameter selection and consideration of ventilation guidelines, the appropriate inspiratory pressure values are calculated. The results illustrate the effect of BMI on the computed optimal pressure-volume ratio. The findings provide a first step towards individualized decision support systems taking into account additional effects like BMI and specific lung diseases.
Score rectification for online assessments in robot-assisted arm rehabilitation
Authors: Sommerhalder Michael , Zimmermann Yves , Knecht Manuel , Suter Zelio , Riener Robert , Wolf Peter 
Published: November 2022

AbstractRelative comparison of clinical scores to measure the effectiveness of neuro-rehabilitation therapy is possible through a series of discrete measurements during the rehabilitation period within specifically designed task environments. Robots allow quantitative, continuous measurement of data. Resulting robotic scores are also only comparable within similar context, e.g. type of task. We propose a method to decouple these scores from their respective context through functional orthogonalization and compensation of the compounding factors based on a data-driven sensitivity analysis of the user performance. The method was validated for the established accuracy score with variable arm weight support, provoked muscle fatigue and different task directions on 6 participants of our arm exoskeleton group on the ANYexo robot. In the best case, the standard deviation of the assessed score in changing context could be reduced by a factor of 3.2. Therewith, we paved the way to context-independent, quantitative online assessments, recorded autonomously with robots.
Potential of anaerobic co-digestion of acidic fruit processing waste and waste-activated sludge for biogas production
Authors: Zhang Lulu , Peng Biao , Wang Luyao , Wang Qingyi 
Published: November 2022

Abstract
The potential of acidic fruit processing waste (FPW) and waste-activated sludge (WAS) co-digestion for methane production was investigated using batch and continuous experiments. First, batch experiments showed the co-digestion of FPW and WAS solved acid accumulation and increased cumulative biogas production. When the volatile solid (VS) ratio of FPW to WAS was 2:1, the cumulative biogas production was the highest (4,695.47 mL), which increased by 5.2% and 10.5% compared with the VS ratios of 3:1 and 1:1, respectively. Methane production was the rate-limiting step when the FPW percentage was high, and hydrolysis was the rate-limiting step when the WAS percentage was high. Second, the continuous experiments showed fermentation was the most stable when the VS ratio was 2:1, without acid accumulation or excessive total alkalinity consumption. Additionally, the ammonia nitrogen content in the system was above 138.34 mg·L−1, which solved the slow WAS hydrolysis rate and low nitrogen supply efficiency. Microbial community structure of the reactor was correlated with substrate composition greatly. On the 180th day, the relative abundance levels of Bacteroides, Paludibacter, Litorilinea, Levilinea, and Smithella were higher than those on the 120th day and the 240th day. The enrichment of those bacterial groups was beneficial to improve the substrate hydrolysis rate and reduce the influence of organic acids on the anaerobic system.
Power data sampling model based on multi-layer sensing and prediction
Authors: Liu Kai , Sun Shengbo , Wu Guanghua , Guo Wei , Ji Shujun , Li Kun 
Published: November 2022

Abstract
With the development of smart grid and energy Internet, more and more smart sensing devices are installed and used in the power system, thus forming the advanced metering infrastructure (AMI). It makes the power system generate massive data all the time, which may come from smart meters, digital protection devices and so on. Behavior evaluation is to filter out the selected tags that meet the type of user portrait from the user system through the known partial tags, and these similar tags together determine the user’s behavior. How to make good use of the collected power big data is an important research topic in the field of power system. Using data mining technology to analyze power big data is a common research method to deal with power big data problems. To facilitate the staff to quickly understand the characteristics of the user, save service costs, improve user service satisfaction, and find the weak links of the power grid, this paper introduces the random forest algorithm, further researches on the basis of user portraits, combines database technology, machine learning algorithm and Logistics algorithm appropriately, constructs the user data sampling model based on big data, fully excavates the big data information of users and predicts the behavior of power users. According to the results of the forecast, it helps the power enterprises to correct and improve the relevant measures in the future. Experiments show that compared with the traditional Logistics model, the K-S value is increased by about 65.38%. The Gini coefficient is increased by about 12.60%, and the efficiency of the algorithm is improved by 5.26%. It has great advantages in stability and generalization. It has a better effect on power data sampling and forecasting, and helps power enterprises to improve market evaluation and corporate reputation.
Efficient natural dye sensitized solar cell from PVDF based polymer electrolyte filled with layered graphite
Authors: Pooja Kumari , Tripathi Mridula , Chawla Priyanka 
Published: November 2022

Abstract
Graphite nanopowder was synthesized by mechanical method using ball mill and used as filler in polymer electrolyte film based on Polyvinylidene fluoride (PVDF) for application in natural dye sensitized solar cells (DSSCs). A simple solution cast technique was employed for the preparation of polymer electrolyte film with incorporation of different weight percent (1, 2 and 3) graphite filler along with propylene carbonate and ethylene carbonate as plasticizers. X-ray diffraction and differential scanning calorimetry analysis was carried out to determine the crystallinity of the graphite nanopowder and its glass transition temperature. The film with 2 % weight showed the best ionic conductivity of about 5.63 × 10−3 S cm−1. The betacyanin dye from beetroot and chlorophyll dye from spinach leaves was evaluated for the fabrication of dye sensitized solar cell (DSSC). The carboxyl, hydroxyl and porphyrin groups present in these dyes helped in binding the dye with the photoanode of DSSCs.
Artificial optoelectronic spiking neuron based on a resonant tunnelling diode coupled to a vertical cavity surface emitting laser
Authors: Hejda Matěj , Malysheva Ekaterina , Owen-Newns Dafydd , Ali Al-Taai Qusay Raghib , Zhang Weikang , Ortega-Piwonka Ignacio , Javaloyes Julien , Wasige Edward , Dolores-Calzadilla Victor , Figueiredo José M. L. , Romeira Bruno , Hurtado Antonio 
Published: November 2022

AbstractExcitable optoelectronic devices represent one of the key building blocks for implementation of artificial spiking neurons in neuromorphic (brain-inspired) photonic systems. This work introduces and experimentally investigates an opto-electro-optical (O/E/O) artificial neuron built with a resonant tunnelling diode (RTD) coupled to a photodetector as a receiver and a vertical cavity surface emitting laser as a transmitter. We demonstrate a well-defined excitability threshold, above which the neuron produces optical spiking responses with characteristic neural-like refractory period. We utilise its fan-in capability to perform in-device coincidence detection (logical AND) and exclusive logical OR (XOR) tasks. These results provide first experimental validation of deterministic triggering and tasks in an RTD-based spiking optoelectronic neuron with both input and output optical (I/O) terminals. Furthermore, we also investigate in simulation the prospects of the proposed system for nanophotonic implementation in a monolithic design combining a nanoscale RTD element and a nanolaser; therefore demonstrating the potential of integrated RTD-based excitable nodes for low footprint, high-speed optoelectronic spiking neurons in future neuromorphic photonic hardware.
Adapting the kraft cooking process in glycerol media. Studies of impregnation kinetics
Authors: Lindén Pär A. , Lindström Mikael E. , Lawoko Martin , Henriksson Gunnar 
Published: November 2022

Abstract
Although organosolv processes using high-boiling solvents have been investigated in recent decades for developing novel industrial processes, there are potential benefits of using high-boiling point solvents for traditional sulphate-based cooking processes, both from an industrial perspective and from a laboratory perspective. Using high-boiling solvents, experiments can be done under atmospheric conditions, thus making it easier to continually monitor laboratory experiments and extracting aliquots at desired intervals. Using such a system, alkaline consumption was monitored during impregnation of spruce chips in glycerol media using chemical charges of 1 M NaOH and 0.1 M NaHS, i. e., kraft pulping conditions, and compared to a similar investigation of alkaline consumption in water media using steel autoclaves. The resulting data was fitted to a first order kinetic model, with an apparent activation energy of 22 kJ mol−1 in glycerol media. Finally, a “normal quality pulp” of kappa number 28 and a viscosity of 1113 ml g−1 was successful produced using a cooking process with an impregnation step at 140 °C for 3 h and a cooking step at 160 °C for 4 h. A nuclear magnetic resonance study on the dissolved lignin produced for said experiment showed characteristics typical of other kraft lignins.
Integration of artificial intelligence in robotic vehicles: A bibliometric analysis
Authors: Mudhivarthi Bhavesh Raju , Thakur Prabhat 
Published: November 2022

Abstract
Robots are rapidly growing technologies in simple words. Robots are artificial living things in this world that are created by humans for reducing human involvement in the top domains such as agriculture, medicine, and industries. Based on the requirements of work, robots are classified into six major categories. Robotic vehicles come under the division of autonomous mobile robots and automated guided vehicles. These vehicles are more popular in factories for supporting humans. Integration of artificial intelligence (AI) in a robotic vehicle gives the brain to the vehicle that can sense the surrounding environment and work accordingly without human operation. This article describes bibliometric research on the integration of AI in robotic vehicles. During the research, 1,196 documents are extracted from the Scopus database between 2015 till now. The types of publications included in this bibliometric analysis are articles, conference papers, reviews, book chapters, books, and short surveys that help understand the global research domain. The pictorial representation was made with the help of open-source platforms such as VOSviewer, GPS visualizer, Gephi, ScienceScape, and word cloud. This analysis helps understand the research gap in this domain.
High‐throughput morphometric and transcriptomic profiling uncovers composition of naïve and sensory‐deprived cortical cholinergic VIP/CHAT neurons
Authors: Yayon Nadav , Amsalem Oren , Zorbaz Tamara , Yakov Or , Dubnov Serafima , Winek Katarzyna , Dudai Amir , Adam Gil , Schmidtner Anna K , Tessier‐Lavigne Marc , Renier Nicolas , Habib Naomi , Segev Idan , London Michael , Soreq Hermona 
Published: November 2022

AbstractCortical neuronal networks control cognitive output, but their composition and modulation remain elusive. Here, we studied the morphological and transcriptional diversity of cortical cholinergic VIP/ChAT interneurons (VChIs), a sparse population with a largely unknown function. We focused on VChIs from the whole barrel cortex and developed a high‐throughput automated reconstruction framework, termed PopRec, to characterize hundreds of VChIs from each mouse in an unbiased manner, while preserving 3D cortical coordinates in multiple cleared mouse brains, accumulating thousands of cells. We identified two fundamentally distinct morphological types of VChIs, bipolar and multipolar that differ in their cortical distribution and general morphological features. Following mild unilateral whisker deprivation on postnatal day seven, we found after three weeks both ipsi‐ and contralateral dendritic arborization differences and modified cortical depth and distribution patterns in the barrel fields alone. To seek the transcriptomic drivers, we developed NuNeX, a method for isolating nuclei from fixed tissues, to explore sorted VChIs. This highlighted differentially expressed neuronal structural transcripts, altered exitatory innervation pathways and established Elmo1 as a key regulator of morphology following deprivation.