bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lightweight and efficient privacy‐preserving mutual authentication scheme to secure Internet of Things‐based smart healthcare
Authors: Das Sangjukta , Namasudra Suyel 
Published: January 2023

AbstractIn recent years, Internet of Things (IoT) technology has been adopted in numerous application areas, such as healthcare, agriculture, industrial automation, and many more. The use of IoT and other technologies like cloud computing and machine learning has made the modern healthcare system to be smart, automated, and efficient. However, the continuous proliferation of cyber‐attacks on IoT devices has increased IoT challenges like data security, privacy protection, authentication, and so forth. In smart healthcare systems, due to the lack of authentication protocols, attackers can undermine the availability, confidentiality, and integrity of both smart healthcare devices and data, which can be life‐threatening in some situations. In this article, a privacy‐preserving mutual authentication scheme for IoT‐enabled healthcare systems is proposed to achieve lightweight and effective authentication of network devices. To support the processing capabilities of the IoT devices, this proposed authentication scheme is designed using lightweight cryptographic primitives, namely XOR, concatenation, and hash operation. The proposed scheme can establish a secure session between an authorized device and a gateway, and prevent unauthorized devices from getting access to healthcare systems. The security analysis and performance analysis assess the proposed authentication technique's effectiveness over existing well‐known schemes.
Behavioral status modulates CA2 influence on hippocampal network dynamics
Authors: He Hongshen , Wang Yi , McHugh Thomas J. 
Published: January 2023

AbstractDynamic interactions between the subregions of the hippocampus are required for the encoding and consolidation of memory. While the interplay and contributions of the CA1 and CA3 regions are well understood, we continue to learn more about how CA2 differentially contributes to the organization of network function. For example, CA2 place cells have been reported to be less spatially tuned during exploration, but uniquely capable of coding place while an animal stops. Here we applied chemogenetics to transiently silence CA2 pyramidal cells and found that CA2 influences hippocampal dynamics in a state‐dependent manner. We find that during rest, CA2 inhibition reduces synchronization across regions (CA1, CA2, CA3) and frequency bands (low‐gamma‐ and ripple‐band). Moreover, during new learning CA1 place field formation is slower in the absence of CA2 transmission and during pausing, CA1 pyramidal cells are less excitable without CA2 drive. On the network level, a novel convolutional neural network (SpikeDecoder) was employed to show subregion and state‐dependent changes in spatial coding that agree with our observations on the single cell level. Together these data suggest additional novel roles for CA2 in governing and differentiating hippocampal dynamics under discrete behavioral states.
Synthesizing Strained Azatriseptane Frameworks
Authors: Zhang Kai , El Bitar Nehme Mélissa , Hope Philip A. , Rickhaus Michel 
Published: January 2023

AbstractEmbedding seven‐membered rings into polycyclic aromatic molecules is attractive as they can exert an influence on molecular conformation that ultimately changes the solubility and π‐electronics. The considerations in designing and synthesizing a highly strained azatriseptane framework are discussed herein. We employ a twofold macrocyclization strategy to form the [7,7,7]‐system and through scoping various strategies identify that the Friedel–Crafts approach is the key. In addition to the successes presented here, the synthetic limitations we have identified highlight the key challenges in forming triseptane frameworks and pave the way for second‐generation analogues that may have various applications in optical and electronic organic materials.
Frictional material selection of dry clutch disc based on the weighted factor and finite element methods
Authors: Doos Qasim M. , Hussain Ihsan Y. , Al‐Sahb Wassan Abd , Abdullah Oday I. , Al‐Tamimi Adnan Naji Jameel 
Published: January 2023

AbstractThe main task of the frictional facing of a clutch disc is to transfer the power from the driving to the driven parts. High frictional heat will be generated when the frictional facing comes into contact with the moving surfaces (flywheel and pressure plate). In this research paper, the selection of the frictional‐facing material of the clutch disc has been investigated to obtain the optimal thermal behavior of the clutch system. It used five different frictional materials (St37‐2, HCC, G95, LUK, and Tiger), and then applied the Weighted Factor Method to find the optimal frictional material that can be used in the clutch disc. In the second part, an axisymmetric finite element (FE) model has been developed to simulate the working of the clutch system during the heating phase. A comparison was made between the results of the thermal problem using the FE method and the Weighted Factor Method, where a high agreement was obtained between them to determine the optimal frictional material for the clutch disc. It was found that the frictional material (HCC) is the superior one with the highest performance index equal to 90.7 and the lowest values of the maximum temperature (353.7 K). In contrast, the frictional material (St37‐2) is the poorest one, with the lowest performance index equal to 30.7 and the highest values of the maximum temperature (378.2 K).
Which implied volatilities contain more information? Evidence from China
Authors: Wang Linyu , Ji Yifan , Ni Zhongxin 
Published: January 2023

AbstractThis paper aims to examine the information capacity of implied volatility (IV) estimated with model‐based and model‐free methods. Among the model‐free approaches, we further divide them into direct estimation (DE) and indirect estimation (INDE) approaches according to the computational process. We study the predictability of different implied volatilities on realized volatility over various forecasting horizons based on the Chinese option data. The out‐of‐sample results indicate that all the IVs contain the information transmitted by option market, and have predictive ability on the realized volatility. Using three different loss functions, we find that the implied volatilities estimated with DE approach contain more information. When considering different market scenarios, we find model‐based implied volatility performs best during the stable period and the DE approach always works well no matter the investor sentiment is normal or abnormal. Moreover, we also discuss the predictability of implied volatility on crash risk. Our results remain robust by using alternative realized volatility and alternative rolling windows.
Magnetic fields enable precise spatial control over electrospun fiber alignment for fabricating complex gradient materials
Authors: Tindell Raymond Kevin , Busselle Lincoln P. , Holloway Julianne L. 
Published: January 2023

AbstractMusculoskeletal interfacial tissues consist of complex gradients in structure, cell phenotype, and biochemical signaling that are important for function. Designing tissue engineering strategies to mimic these types of gradients is an ongoing challenge. In particular, new fabrication techniques that enable precise spatial control over fiber alignment are needed to better mimic the structural gradients present in interfacial tissues, such as the tendon‐bone interface. Here, we report a modular approach to spatially controlling fiber alignment using magnetically‐assisted electrospinning. Electrospun fibers were highly aligned in the presence of a magnetic field and smoothly transitioned to randomly aligned fibers away from the magnetic field. Importantly, magnetically‐assisted electrospinning allows for spatial control over fiber alignment at sub‐millimeter resolution along the length of the fibrous scaffold similar to the native structural gradient present in many interfacial tissues. The versatility of this approach was further demonstrated using multiple electrospinning polymers and different magnet configurations to fabricate complex fiber alignment gradients. As expected, cells seeded onto gradient fibrous scaffolds were elongated and aligned on the aligned fibers and did not show a preferential alignment on the randomly aligned fibers. Overall, this fabrication approach represents an important step forward in creating gradient fibrous materials, where such materials are promising as tissue‐engineered scaffolds for regenerating functional musculoskeletal interfacial tissues.
Smallholder farmers' knowledge on the use of bioslurry as a soil fertility amendment input for potato production in Kenya
Authors: Mwakidoshi Emmanuel R. , Gitari Harun H. , Muindi Esther M. , Wamukota Andrew , Seleiman Mahmoud F. , Maitra Sagar 
Published: January 2023

AbstractA survey was conducted on farmers' fields at Werugha and Wusi‐Kishamba wards in Taita Taveta County, Kenya, to assess the factors influencing farmers' decisions on the use of bioslurry in the management of soil fertility. Knowledge gaps on bioslurry use provide contrasting claims about the value of bioslurry from source, storage and handling, crop types, soil, and climate conditions, and as a fertilizer. The majority of the farmers in the study sites double up as dairy farmers which has resulted in enormous production of under‐utilized cow dung. Over‐dependence on the use of inorganic fertilizers leads to the destruction of soil physical and biological properties; hence, the provision of essential nutrients required by plants for growth and development is not achieved at the maximum recommended rates. This results in a yield decrease with potato yield ranging from 8 to 15 t ha−1, which is 2‐ to 3‐times below the achievable yield of 40 t ha−1. A survey questionnaire was developed and administered to 120 small‐scale farmers within the two wards. Results showed that the use of bioslurry has not been well adopted by farmers from the two wards as only 18% responded to using bioslurry on their farms whereas 78% relied on chemical fertilizers and other forms of manures such as farmyard manure. However, even those using slurry had since been reported to have challenges with its use and application. The 36% of farmers who applied bioslurry alone did so due to its availability considering the high cost of inorganic fertilizers while those who combined it with inorganic fertilizers had faith in chemical fertilizers and that they aimed at achieving high crop yields. The major challenges farmers faced while using slurry on their farms were reported to be on lack of knowledge on the exact quantity to be applied per unit area and on the storage of excess slurry from biodigesters. This implied that even though slurry was available, it was still not useful to the farmers due to under/over application and poor storage. The study, therefore, recommends capacity‐building programs and agricultural extension services to be developed, to ensure adequate knowledge on bioslurry use and adoption by smallholder farmers in the management of soil fertility in enhancing crop productivity.
Gathering speed and countering tensions in the rapid learning health system
Authors: Reid Robert J. , Greene Sarah M. 
Published: January 2023

AbstractThe vision of the learning health system (LHS), conceptualized 15 years ago, is for the rapid generation, use, and spread of high‐quality evidence that yields better health experiences, outcomes, efficiencies, and equity in everyday practice settings across communities. However, despite the emergence of many useful LHS frameworks and examples to guide adoption, large gaps remain in the speed and consistency with which evidence is generated and used across the range of settings from the bedside to the policy table. Gaps in progress are not surprising, however, given the tensions that predictably arise when key stakeholders—researchers, health systems, and funders—comingle in these efforts. This commentary examines eight core tensions that naturally arise and offers practical actions that stakeholders can take to address these tensions and speed LHS adoption. The urgency for attenuating these tensions and accelerating health system improvements has never been higher. Timeliness, rigor, and prioritization can be aligned across stakeholders, but only if all partners are intentional about the operational and cultural challenges that exist.
Reconstruction for 7T high‐resolution whole‐brain diffusion MRI using two‐stage N/2 ghost correction and L1‐SPIRiT without single‐band reference
Authors: Pan Ziyi , Ma Xiaodong , Dai Erpeng , Auerbach Edward J. , Guo Hua , Uğurbil Kâmil , Wu Xiaoping 
Published: January 2023

PurposeTo combine a new two‐stage N/2 ghost correction and an adapted L1‐SPIRiT method for reconstruction of 7T highly accelerated whole‐brain diffusion MRI (dMRI) using only autocalibration scans (ACS) without the need of additional single‐band reference (SBref) scans.MethodsThe proposed ghost correction consisted of a 3‐line reference approach in stage 1 and the reference‐free entropy method in stage 2. The adapted L1‐SPIRiT method was formulated within the 3D k‐space framework. Its efficacy was examined by acquiring two dMRI data sets at 1.05‐mm isotropic resolutions with a total acceleration of 6 or 9 (i.e., 2‐fold or 3‐fold slice and 3‐fold in‐plane acceleration). Diffusion analysis was performed to derive DTI metrics and estimate fiber orientation distribution functions (fODFs). The results were compared with those of 3D k‐space GRAPPA using only ACS, all in reference to 3D k‐space GRAPPA using both ACS and SBref (serving as a reference).ResultsThe proposed ghost correction eliminated artifacts more robustly than conventional approaches. Our adapted L1‐SPIRiT method outperformed 3D k‐space GRAPPA when using only ACS, improving image quality to what was achievable with 3D k‐space GRAPPA using both ACS and SBref scans. The improvement in image quality further resulted in an improvement in estimation performances for DTI and fODFs.ConclusionThe combination of our new ghost correction and adapted L1‐SPIRiT method can reliably reconstruct 7T highly accelerated whole‐brain dMRI without the need of SBref scans, increasing acquisition efficiency and reducing motion sensitivity.
High‐order non‐conforming discontinuous Galerkin methods for the acoustic conservation equations
Authors: Heinz Johannes , Munch Peter , Kaltenbacher Manfred 
Published: January 2023

AbstractThis work compares two Nitsche‐type approaches to treat non‐conforming triangulations for a high‐order discontinuous Galerkin (DG) solver for the acoustic conservation equations. The first approach (point‐to‐point interpolation) uses inconsistent integration with quadrature points prescribed by a primary element. The second approach uses consistent integration by choosing quadratures depending on the intersection between non‐conforming elements. In literature, some excellent properties regarding performance and ease of implementation are reported for point‐to‐point interpolation. However, we show that this approach can not safely be used for DG discretizations of the acoustic conservation equations since, in our setting, it yields spurious oscillations that lead to instabilities. This work presents a test case in that we can observe the instabilities and shows that consistent integration is required to maintain a stable method. Additionally, we provide a detailed analysis of the method with consistent integration. We show optimal spatial convergence rates globally and in each mesh region separately. The method is constructed such that it can natively treat overlaps between elements. Finally, we highlight the benefits of non‐conforming discretizations in acoustic computations by a numerical test case with different fluids.
Optimization of electro‐blown polysulfone nanofiber mats for air filtration applications
Authors: Sarac Zuleyha , Kilic Ali , Tasdelen‐Yucedag Cigdem 
Published: January 2023

AbstractDurable, robust, and hydrophobic air filtration media was produced via electro‐blow spinning (EBS) technique using polysulfone (PSU) due to its superior properties. To our knowledge, this is the first optimization study of PSU nanofiber production via EBS technique for air filtration applications. Concentration, air pressure, and voltage were determined as independent variables for the optimization based on “smaller is the better” approach of Taguchi Design of Experiment. The optimized values which supplied the smallest average fiber diameter (AFD) possible were obtained as 13 wt% PSU, 3 bar, and 7.5 kV. The AFD of the sample obtained from the confirmation experiment was calculated as 105 ± 34 nm. Surface morphologies, porosity values, and wettability behaviors of the samples were investigated by using scanning electron microscopy, gravimetric method, and water contact angle measurements, respectively. PSU nanofiber mats exhibited superhydrophobic behavior (water contact angle values up to 159.8°) which is important for various separation processes. Samples prepared at different deposition times (15, 30, 45, and 60 min) were investigated in terms of particle capture efficiency and pressure drop. The 0.3 μm particle filtration efficiency was found to be 98.09% at an expense of 202 Pa pressure drop which would be suitable for various respiratory and HVAC filter applications.
Beam shaping to scale up microprocessing
Authors: Pallier Gwenn , Poisson Jean‐François 
Published: January 2023

AbstractMany industrial microprocessing applications that use femtosecond lasers have been developed in a variety of sectors, including medical and semiconductors. To access new large‐scale applications such as surface texturing however, robust industrial‐grade beam shaping solutions need to be combined with femtosecond lasers. Cailabs and Light Conversion have developed a partnership to demonstrate the quality and robustness of their solution using a Canunda‐Pulse beam shaper and a Carbide laser.
Immune‐related aseptic meningitis diagnosed by Cube FLAIR on enhanced magnetic resonance imaging for a lung cancer patient administered atezolizumab: A case report
Authors: Kuroda Ryo , Nakagawa Hiroaki , Uchida Yasuki , Narumiya Keiko , Tsunoda Yoko , Yamaguchi Masafumi , Oki Tatsuya , Hiratsuka Shinnosuke , Nagatani Yukihiro , Nakano Yasutaka 
Published: January 2023

AbstractImmune checkpoint inhibitors (ICIs) can cause immune‐related adverse events (irAEs), such as neurological toxicity. A 46‐year‐old man was diagnosed with squamous cell lung cancer. Lung cancer recurred 3 years after he experienced left segmental lung rejection. Therefore, he received atezolizumab as fourth‐line chemotherapy. He experienced fever, headache, and decreased consciousness 10 days after the first dose of atezolizumab. Plain head computed tomography and cerebrospinal fluid examination showed no significant findings. Magnetic resonance imaging (MRI) with a Gadolinium (Gd)‐enhanced Cube fluid‐attenuated inversion recovery (FLAIR) sequence showed nodular abnormalities with contrast enhancement. Thus, aseptic meningitis caused by ICIs was suspected. His consciousness level gradually improved with glucocorticoid therapy. Moreover, most nodular abnormalities observed on cerebral MRI disappeared concurrently. Thus, Gd‐enhanced Cube FLAIR sequence has the unique ability to reveal immune‐related aseptic meningitis
A systematic mapping study of software performance research
Authors: Han Xue , Yu Tingting , Yan Gongjun 
Published: January 2023

SummaryContext: Software performance is crucial for ensuring the quality of software products. As one of the non‐functional requirements, the few efforts devoted to software performance have often been neglected until a later phase in the software development life cycle (SDLC). The lack of clarity of what software performance research literature is available prevents researchers from understanding what software performance research fields are available. It also creates difficulty for practitioners to adopt state‐of‐the‐art software performance techniques. Software performance research is not as organized as other established research topics such as software testing. Thus, it is essential to conduct a systematic mapping study as a first step to provide an overview of the latest research literature available in software performance. Objective:
The objective of this systematic mapping study is to survey and map software performance research literature into suitable categories and to synthesize the literature data for future access and reference. Method: This systematic mapping study conducts a manual examination by querying research literature in noble journals and proceedings in software engineering in the past decade. We examine each paper manually and identify primary studies for further analysis and synthesis according to the pre‐defined inclusion criteria. Lastly, we map the primary studies based on their corresponding classification category. Results: This systematic mapping study provides a state‐of‐the‐art literature mapping in software performance research. We have carefully examined 222 primary studies out of 2000+ research literature. We have identified six software performance research categories and 15 subcategories. We generate the primary study mapping and report five research findings. Conclusions: Unlike established research fields, it is unclear what types of software performance research categories are available to the community. This work takes the systematic mapping study approach to survey and map the latest software performance research literature. The study results provide an overview of the paper distribution and a reference for researchers to navigate research literature on software performance.
Recent Advances in Organocatalyzed Asymmetric Sulfa‐Michael Addition Triggered Cascade Reactions
Authors: Niu Cheng , Du Da‐Ming 
Published: January 2023

AbstractThe sulfa‐Michael addition reaction is a crucial subset of the Michael addition reaction, and aroused the interest of numerous synthetic biologists and chemists. In particular, sulfa‐Michael addition triggered cascade reaction has developed quickly in recent years because it offers an efficient method to construct C−S bonds and other bonds in one approach, which is widely applicable for building chiral pharmaceuticals, their intermediates, and natural compounds. This review emphasizes the recent advancements in sulfa‐Michael addition‐triggered cascade reactions for the stereoselective synthesis of sulfur‐containing compounds, including sulfa‐Michael/aldol, sulfa‐Michael/Henry, sulfa‐Michael/Michael, sulfa‐Michael/Mannich and some sulfa‐Michael triggered multi‐step processes. Moreover, some reaction mechanisms and derivatization experiments are introduced appropriately.