bluuebunny/crossref_metadata_2025 huggingface dataset:
Reeling in Stories: An Investigation of Creative Behaviors and Creativity‐Support on Instagram
Authors: Ceh Simon M. , Benedek Mathias
Published: May 2024

Creative behaviors are increasingly impacted by digital technologies, but little is known about the way digital technologies support everyday creativity and what factors predict their creative use. We investigated to what extent individual differences in person‐specific (creativity, personality) and platform‐specific (e.g., perceived creativity support) characteristics relate to the creative use of Instagram. The results from a sample of 191 Instagram users revealed that more frequent creative use of Instagram was related to greater engagement in everyday creative behaviors, creative self‐beliefs, the openness facet of creative imagination, extraversion, a more positive attitude toward Instagram, greater platform‐related self‐efficacy, and greater perceived creativity‐support. Regression analysis further revealed a unique contribution of everyday creativity, creative personal identity, extraversion, attitude toward Instagram, Instagram self‐efficacy, and perceived creativity‐support for creative use of Instagram. Although creativity was not the most central motive for using Instagram, the results from the present study indicated considerable levels of creative use, suggesting that common online spheres are important for everyday creative behavior. Together, this study identified relevant person‐ and platform‐specific factors predicting creative behavior at Instagram, while also highlighting the relevance of creativity in the digital world even outside of devoted digital creativity tools.
Improving aromatic higher alcohol acetates in wines by co‐fermentation of Pichia kluyveri and Saccharomyces cerevisiae: growth interaction and amino acid competition
Authors: Li Yueqi , Xu Lingbin , Sam Faisal Eudes , Li Aihua , Hu Kai , Tao Yongsheng
Published: May 2024

BACKGROUND

Higher alcohol acetates (HAAs) are potent aroma‐active esters that impart desirable fruity and floral aromas. However, the conversion of higher alcohol precursors into HAAs is extremely low in winemaking. To investigate the underlying yeast–yeast interaction on targeted improvement of aromatic HAAs, we evaluated fermentation activity, cell viability, amino acid consumption and HAA production when Pichia kluyveri and Saccharomyces cerevisiae were inoculated concurrently or sequentially.

RESULTS

Pichia kluyveri PK‐21 possessed the ability to survive and increased HAA level up to 5.2‐fold in mixed fermentation. Such an increment may benefit from the efficient conversion of higher alcohol precursors into HAAs (>27‐fold higher than S. cerevisiae). During mixed fermentation, the two yeasts exhibited crucial interactions regarding cell growth and amino acid competition. Saccharomyces cerevisiae dominated over the co‐inoculated P. kluyveri by efficient uptake of amino acids and biomass production. However, this dominance decreased in sequential fermentation, where P. kluyveri growth increased due to the consumption of preferred amino acids prior to S. cerevisiae. Pearson correlation analysis indicated that phenylalanine and aspartic acid may act as positive amino acids in boosting P. kluyveri growth and HAA production. Laboratory‐scale winemaking validated the fermentation performance of P. kluyveri in sequential inoculum, resulting in a balanced aroma profile with enhanced floral and tropical fruity characteristics in the final wines.

CONCLUSION

This study proposes a microbial, non‐genetically engineered approach for targeted increase of HAA production in winemaking and the findings provide new insights into yeast–yeast interactions. © 2024 Society of Chemical Industry.
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Authors: Wang Xuecheng , Wang Xiaohui , Zhang Yutian , Wang Yaqi , Li Yuanhui , Xiong Yaokun , Yang Ming , Luo Xiaorong , Wu Zhenfeng
Published: May 2024

The cover image is based on the Research Article Effects of ultrasonic power on drying kinetics and product quality of licorice extract during ultrasound‐assisted vacuum drying by Xuecheng Wang et al., https://doi.org/10.1002/jsfa.13283.

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Female patients have greater improvement in pain symptoms and physical activity after fasciotomy for treatment of chronic exertional compartment syndrome of the lower leg
Authors: Shankar Dhruv S. , Vasavada Kinjal D. , Gillinov Lauren A. , Kirschner Noah , Mojica Edward S. , Blaeser Anna M. , Borowski Lauren E. , Jazrawi Laith M. , Cardone Dennis A.
Published: May 2024

Purpose

The purpose of this study was to identify sex differences in postoperative outcomes and return‐to‐sport rates after fasciotomy for treatment of chronic exertional compartment syndrome (CECS) of the lower leg. It was hypothesised that male CECS patients would have a higher rate of return to sport than female CECS patients.

Methods

A retrospective cohort study was conducted involving patients who underwent primary fasciotomy of one to four leg compartments for treatment of CECS at a single centre from 2010 to 2020. Each affected leg was treated as a separate subject. Postoperative outcomes included CECS pain frequency and severity, return to sport and Tegner activity level. Multivariable regression was used to determine if sex was an independent predictor of outcomes after adjusting for demographic and clinical covariates. p < 0.05 were considered significant.

Results

Eighty‐one legs (44 M, 37 F) of 47 unique patients (34 of whom had bilateral symptoms) were included with a mean follow‐up time of 51.5 ± 31.4 months. Male subjects were older (p < 0.001) and had higher body mass index (p < 0.001) compared to female subjects. Most subjects (84.0%) underwent two‐ or four‐compartment fasciotomies. Female sex was found to be predictive of lower overall postoperative pain severity (p = 0.007), higher odds of return to sport (p = 0.04) and higher postoperative Tegner score (p = 0.005). However, female sex was not predictive of postoperative pain frequency, odds of reoperation or odds of return to sport to at least the presymptomatic level (all p < 0.05).

Conclusion

Female sex is independently predictive of reduced overall pain severity, higher odds of return to sport and higher postoperative improvement in Tegner score following fasciotomy for treatment of lower‐limb CECS.

Level of Evidence

III.
A mathematical model for flow field with condensation discontinuity: One‐dimensional Euler equations with singular sources
Authors: Yu Changsheng , Liu Tiegang
Published: May 2024

Condensation induces both heat addition and mass consumption effects on the carrier flow field, leading to complex wave patterns. In this study, we aim to elucidate the structures of flow field under the influence of condensation. To achieve this, we present a mathematical model, which is formulated using Euler equations with a singular source term. Given the difficulties posed by both weak solution theory and the Dal Maso–LeFloch–Murat (DLM) theory (J. Math. Pures Appl. 483‐548 (1995)) in defining solutions to the Riemann problem, we propose a novel approach. This involves the coupling of weak solutions within two subregions, taking into consideration the discontinuity of source term. Firstly, we identify two stationary discontinuities originating from the singular source term—namely, stationary waves and composite waves. Admissibility criterions are developed for these discontinuities to facilitate the selection of physically meaningful solutions. Secondly, we employ a double classical Riemann problems (CRPs) framework to analyze the structures of Riemann solution. Our analysis reveals that the Riemann solution may exhibit seven structures with stationary wave and four structures with composite wave. Finally, the proposed model and its theoritical results are applied to validate the structure of the flow field with condensation discontinuities. For the pure heat addition problem, we successfully demonstrate all wave patterns of the flow field, perfectly matching the outcomes of numerical experiments.
Fabrication and mechanical properties of thermoplastic corrugated sandwich panel with enhanced face‐core interface
Authors: Zhang Yan , Qin Weiming , Chen Liming , Du Bing , Zhu Shaowei , Liu Tao , Hou Xianbo
Published: May 2024

Thermoplastic sandwich structures are widely utilized in engineering fields due to their high specific strength and stiffness, recyclability, and impact toughness. The face‐core interface strength is crucial to maximize the performance benefits of sandwich structures. Two sizes of corrugated sandwich panels with hot‐melt bonding and resistance welding connection methods were fabricated. The mechanical properties of sandwich panels were compared using a combination of experimental, numerical, and analytical investigation. Edgewise compression (EC) and 3‐point bending (3 PB) tests were conducted to obtain load–displacement curves and investigate different failure modes of sandwich panels. The peak edge compression and bending loads of the resistance welded structures were 42% and 92% higher, respectively, and the face‐core interface was always well‐connected compared to those of the hot‐melt bonding. The results indicate that the resistance welding method can be utilized as a core bonding technique for thermoplastic composite sandwich structures and has great potential for aerospace application.

Highlights

A method that includes hot‐melt bonding and resistance welding are develop to produce thermoplastic composite corrugated sandwich panels (TPC‐CSPs).

The TPC‐CSPs fabricated by resistance welding exhibit superior interface connection performance compared to hot‐melt bonding and this method enhance the structural load bearing capacity.

The numerical and analytical method were presented to investigate the failure model, which was consistent with the experimental results.
Optimized random forest model for predicting flexural properties of sustainable composites
Authors: Mahajan Aditi , Gairola Sandeep , Singh Inderdeep , Arora Navneet
Published: May 2024

In an era of technological advancements, the quest for sustainable products has taken a center stage. The utilization of natural fiber reinforced polymer composites has become crucial in the manufacturing of eco‐friendly products due to their low cost, renewability, biodegradability, and comparable properties to synthetic composites. Coir‐based composites have been utilized in roofing, composite panels, furniture, and bio‐based insulation applications, providing enhanced strength and sustainability. In the current investigation, an exploratory data analysis (EDA) was conducted to understand the relationship between the various input variables and the flexural properties of short coir polymer composites (SCPCs). The data analysis revealed that manufacturing process had a significant impact on the flexural properties of SCPCs. Based on the insights gained from the EDA, an optimized Random Forest prediction model was developed to predict the flexural properties. Genetic algorithm approach for hyperparameter optimization led to lower objective loss in contrast to Bayesian optimized Random Forest model. The model's performance was subsequently evaluated through holdout validation, and the outcome demonstrated the model's proficiency in accurately predicting the properties. The developed model can be used as a tool for optimizing the design of SCPCs for specific applications, by predicting the flexural properties of the composites.

Highlights

Flexural behavior of short coir polymer composites was analyzed and modeled.

Manufacturing process has the highest impact on the flexural properties.

Random forest model predicted the flexural properties with high accuracy.

Genetic algorithm optimized model further enhanced the model performance.

The developed framework provides insights into designing biocomposites.
Comparison of constant spindle speed twisting technology and constant tension twisting technology of E‐glass yarn
Authors: Wang Xi , Chu Jiuying , Zuo Jing , Hu Lizhu
Published: May 2024

The rapid advancement of the electronics industry has continuously increased demands for the E‐glass yarn's quality and production capacity. The twisting and winding process stands out as a crucial step in E‐glass yarn production. Twisted bobbin yarns are produced separately using constant spindle speed technology and constant tension technology in order to address issues such as high yarn breakage rates and excessive yarn hairiness during twisting. By comparing the twisting tension, yarn breakage rates, and yarn hairiness between these two technologies, this study delves into the impact of twisting technology on E‐glass yarn quality and production capacity. The results indicate that, in comparison with constant spindle speed technology, constant tension technology reduces the unevenness ratio of twisting tension from 8.94% to 0.55%, decreases yarn breakage rates from 3.05% to 2.03%, reduces long hairiness by 20.3%, and reduces short hairiness by 25.1%. By reducing the spindle speed when the bobbin yarn's diameter increases, constant tension twisting technology reduces the unevenness ratio of twisting tension, yarn breakage rate, and yarn hairiness. These research findings lay the foundation for the development of high‐end E‐glass yarn products and carry significant practical value in improving yarn quality, enhancing production capacity, and reducing E‐glass yarn losses.

Highlights

The twisting and winding principle of E‐glass yarn is revealed.

The relationship among four tensions in the twisting and winding process is clarified.

The parameters for the constant tension twisting technology are developed.

The measurement method for the twisting tension is improved.
Experimental study on the mechanical property of carbon fiber reinforced polymer with the combined application of digital twin and reduced order algorithm
Authors: Ji Xiukun , Wang Jinlong , Gong Yongjun , Bao Yongjie , Yang Yuxing
Published: May 2024

Recognizing the anisotropy of mechanical property transfer between carbon fiber reinforced polymer (CFRP) layers, a unidirectional reduced‐order model (UROM) is proposed to comprehensively express the mechanical properties of each layer. A crucial focus is on effectively analyzing the real‐time mechanical properties of CFRP specimens, particularly in accurately identifying and predicting the interlaminar mechanical states of anisotropic CFRP laminated specimens. Moreover, the multi fidelity surrogate (MFS) is employed to replace the computationally intensive model, amalgamating high‐fidelity sensor data with low‐fidelity data obtained from the UROM. The UROM MFS is used to reduce the amount of data in the same layer of CFRP laminates, while preserving the characteristics between different layers and preserving the interlaminar information of CFRP laminates. Finally, the stress prediction results of the UROM MFS and the unreduced MFS model were compared and analyzed. The real‐time response speed of the u‐ROM MFS digital twin (DT) model was increased by 658%. The UROM MFS DT model effectively captures the mechanical properties of each layer of CFRP laminates, enables quick calculation of model parameters, and provides accurate predictions.

Highlights

First, the interlayer mechanical property of CFRP is analyzed with the combined application of experimental data, DT model, and UROM MFS.

Second, MFS is employed to merge high‐fidelity sensor data of CFPR laminate with low‐fidelity data obtained from UROM.

Third, the digital twin framework for CFPR laminate with high response speed and calculation accuracy is proposed.
The effects of temperature and hygrothermal aging on the properties of CF/PA6 composite and its compression failure mechanisms
Authors: Yu Mingming , Xiao Rongbin , Xie Wang , Liu Xueqiang , Ge Lili , Fang Lin , Ren Musu , Sun Jinliang
Published: May 2024

Carbon fiber reinforced polyamide composites have outstanding properties, but their applications are significantly affected by the service environment. This work evaluates the effects of temperature (25, 80, 140, and 200°C) and hygrothermal conditions on the mechanical properties of CF/PA6 composite containing delamination damage, and studies its damage behaviors and failure mechanisms. After hygrothermal aging, recrystallization of PA6 improves the heat resistance of CF/PA6 composites, but water absorption reduces the interfacial strength of composites, resulting in the decrease of modulus and compressive strength (24% and 42%, respectively). With the increase in temperature, the compressive strength of CF/PA6 composites gradually decreases (from 132 MPa at 25°C to 24 MPa at 200°C), and the failure mode transitions from fiber fractures, interlayer shear fractures, delamination to kinking. In addition, the compressive failure process of CF/PA6 composites is divided into three stages: buckling, delamination bulging and kinking failure.

Highlights

Hygrothermal aging reduces the fiber/resin interface performance.

Fiber fracture, interlayer shear and delamination convert to kinking failure.

The failure process is divided into buckling, delamination and kinking.
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Authors: Li Zhenzhen , Zhou Jian , Liu Guizhen , Wang Lin , Feng Zhiliang , Ding Zhongjun
Published: May 2024

The cover image is based on the Research Article Properties of epoxy resin matrix composites improved by silica sol‐activated hollow ceramic microspheres by Zhenzhen Li et al., https://doi.org/10.1002/pc.28167.

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A new mechanism of mechanical reinforcement for 3D printing CF/PA12 composite based on microwave treatment
Authors: Zhang Huifang , Zhi Jieying , Lu Xiaoxuan , Peng Xuanzhi , Gao Xiaoqing , Yang Yu , Liu Zixuan , Cao Yang , Liu Qichao , Sun Youyi
Published: May 2024

Although 3D printing technology has been widely applied in fabrication of polymer composite, yet, it still exhibits low mechanical performance, restricting its application in structural materials. Herein, a new 3D printing polymer composite composed of carbon fiber and polyamide12 (PA12) is fabricated and subsequently treated by microwave treatment. It is found that the tensile strength and modulus of 3D printing CF/PA12 composite with microwave treatment are improved by 23.8% and 10.2% compared with the original specimen, respectively. Moreover, a new mechanism of mechanical reinforcement is investigated and proposed by nanoindentation and 3D X‐ray computed tomography. The work does not only confirm formation of 3D printing CF/PA12 composite with good mechanical properties, but also proposes a new mechanism of microwave treatment effect on 3D printing polymer composite based on carbon fiber.

Highlights

A new 3D printing CF/PA12 composite based on microwave treatment is developed.

The 3D printing composite exhibits good mechanical properties.

A new mechanism of mechanical reinforcement is proposed.
The relationship between nomophobia and latent classes of personality
Authors: Ji Shunxin , Xu Suwei , Zhou Zhao , Zhu Ye , Liu Tour
Published: May 2024

The phenomenon of nomophobia, defined as the anxiety experienced when a person is without their mobile phone or is unable to use it, has been identified as having serious negative effects on individuals, particularly students. Previous research has explored the relationship between personality traits and nomophobia, but the findings have been inconclusive. The main objective of this study was to classify personality types through latent class analysis and explore the relationship between these personality types and nomophobia. The Chinese version of the Nomophobia Scale and the Chinese brief version of the Big Five Personality Inventory were used in this study to survey 1906 Chinese college students. The results indicated that (1) a four‐class model provided the best fit and categorized the personality traits as the overcontrolled class, resilient class, moderate class, and vulnerable class; (2) significant differences were observed between the four personality types and nomophobia, with overcontrolled and resilient personality types consistently scoring significantly lower than moderate and vulnerable personality types. Our finding highlights the key feature of the study.
The release of ‘LCP 85‐384’ and its contribution to the Louisiana sugar industry
Authors: Blanchard Brayden A. , Taylor Zachary A. , Rivette Mimi G. , Kimbeng Collins A. , Gravois Kenneth A.
Published: May 2024

Basic breeding efforts initiated at the USDA‐ARS in Houma, LA, in the late 1950s allowed Louisiana sugarcane breeders, once again, to cross with the wild germplasm of cultivated sugarcane, Sacharum spontaneum. ‘LCP 85‐384’ was the first success story from this effort and was quickly adopted by growers. It became clear that the cultivar would prove to be substantially impactful to the Louisiana sugar industry. Performing at unprecedented yields in ratoon crops, LCP 85‐384 changed how Louisiana growers would manage their crops. The variety proved to possess traits that fared well in the subtropical production zones of the state. Substantial stalk populations seemed to play a vital role in the necessary ratoon ability and consequent cold tolerance necessary for production in Louisiana. After significant disease pressure, the variety quickly declined in production acreage, but not in impact. It continued to provide sustained progress as a parent for years, contributing to most modern commercial cultivars in Louisiana. Today, LCP 85‐384 and its progeny are used in breeding and genetic research to usher in the next era of progress in the Louisiana sugar industry. Meanwhile, through cooperative efforts of breeding programs around the world, it is making its mark on the sugarcane industries of Argentina in much the same way as it did in Louisiana. In the future, it is expected that the progress made in the breeding program will continue by building upon the gains achieved from LCP 85‐384 and its progeny for the sustained success of the Louisiana sugarcane industry.
Statistical analysis to examine the influence of thermal aging on hybrid glass epoxy polymer composites with fillers of multi‐walled carbon nanotubes
Authors: Sravanthi K. , Mahesh V. , Nageswara Rao B. , Jani S. P.
Published: May 2024

E‐glass fibers are widely preferred due to ease of processing and its low cost, which has substantial scope in the fields of electronics and electrical insulation applications. Because of its low strength and corrosion resistance, use of E‐glass fibers is limited in aerospace and automotive applications. There is a need for enhancing the properties of the composite to overcome such limitations. Therefore, an attempt is made to introduce multi‐walled carbon nanotubes (MWCNT) as fillers into E‐glass fibers to meet the industry needs. In the current study, woven glass fiber of 5 layers and multi‐walled nano carbon fillers of 2, 4 and 6 by wt%, LY556 epoxy resin, and HY951 hardener were used to prepare 4 different type of composites along with the neat epoxy glass fiber reinforced polymer composites (GFRP). The hand‐layup route was used in the composite preparation due to its low cost, technological feasibility, and simple process setup. The developed samples were characterized for mechanical properties via tensile, flexural and impact tests. Tribological characteristics were performed by air jet erosion test. Chauvenet's criterion is applied for identifying the outliers (if any) from the data of repeated test properties. Taguchi's (orthogonal array) is selected for obtaining optimal hybrid composite, which yield better mechanical properties. Empirical relations are developed for the material properties in terms of process variables. The sample (4 wt% MWCNT) exhibited enhancement of 17.27% in tensile strength, 6% of impact strength and 7.3% of flexural strength when compared with neat epoxy GFRP. This hybrid composite is considered for thermal aging and observed at 60°C, 8% increase in tensile, 7% increase of impact and 15% in flexural strength due to the precipitation on carbon nano tubes along the gain boundaries. The present study recommends 4% MWCNT fillers in developing hybrid glass epoxy polymer composites for use in aerospace, automotive and civil construction industries due to economic and technological feasibility.

Highlights

Utilize low‐cost E‐glass fibers in electronics and electrical insulation applications.

Improve composite properties for aerospace and automotive industries.

Develop hybrid glass epoxy composites with 2 to 6 wt% MWCNT fillers.

Examine wear characteristics under air jet erosion and study the impact of thermal aging on mechanical properties.

Apply Chauvenet's criterion for outlier identification in measured properties datasets.
Ring opening functionalization of thiolactone homopolymers for ROS scavenging
Authors: Priester Aaron , Kievit Forrest , Convertine Anthony J.
Published: May 2024

In this research, we explored the synthesis and application of thiolactone acrylamide (TLA) polymers for neutralizing reactive oxygen species (ROS), produced as a result of traumatic brain injury (TBI). We synthesized well‐defined TLA polymers using RAFT (reversible addition‐fragmentation chain transfer) polymerization across a range of monomer‐to‐chain transfer agent ([M]0/[CTA]0) ratios to achieve a range of molar masses. Polymerizations were carried out using a trithiocarbonate CTA (chain transfer agent) with AIBN (azobisisobutyronitrile) as the initiator in N'N‐dimethylacetamide (DMAc) at 60 °C. Kinetic studies indicated a linear increase in molar mass with conversion, pseudo‐first‐order kinetics, and molar mass values that are consistent with theoretical predictions. Furthermore, the polymerizations exhibited a decrease in molar mass dispersity with conversion. We then investigated ring opening of the thiolactone residues with isoserinol (ISOH), which was followed by thiol‐ene reactions of the resultant thiol groups with methacrylamide to yield a series of copolymers with different thiol‐to‐thioether ratios. The resulting polymers demonstrated varying levels of ROS neutralization. Higher thiol concentrations lead to more rapid neutralization while thioether residues provided sustained neutralization activity.
Self‐strengthened hydrogel actuator based on the distribution of size‐differentiated PVA crystallites
Authors: Wang Xiaohui , Hou Yarui , Fan Yiyuan , Liu Zeqi , Li Ran , Li Xiaojun , Yang Bin , Liu Qingye
Published: May 2024

Soft tissues, such as muscle could autonomously grow through re‐alignment and/or ‐combination of collagen nanofibrils upon the mechanical training. This adaptive capability is highly expected in artificial materials, particularly in hydrogel actuator. In order to avoid the failure for devices by suffering from the accumulated mechanical loading, in this work, a double layered thermo‐responsive hydrogel actuator capable of self‐strengthening was successfully prepared. In the bilayer, PVA nanocrystals with different particle sizes were uniformly distributed in each monolayer matrix, giving rise to the asymmetric structure and the resultant differentiated de‐swelling behaviors. Thus, the obtained hydrogel actuator with the semi‐interpenetrating network of P(NIPAM‐co‐NMA) can display diverse programmable transformations by varying the temperatures. The existence of PVA nanocrystals in both layers not only can enhance the mechanical strength, dramatically minimizing the collapse of hydrogel actuator in service due to the imbalance of the mechanical properties for bilayer structure, but also was greatly involved in the self‐reinforcing behavior. After repetitive tensile training with 80% strain, the tensile strength and fracture strain increased from 29.6 to 45.8 kPa and 95% to 104%, respectively. The experimental results indicated that the anisotropic orientation and strain‐induced‐crystallization for PVA crystalline domains readily occurred along the tensile direction, finally leading to the synchronous enhancement in mechanical strength for both layers. This work provides a new strategy for designing smart and robust biomimetic hydrogel systems that can be further used as the intelligent soft robotics in various fields.
Addressing cervical cancer prevention in Bhutan: A study on the use of loop electrosurgical excision procedures at the primary health care level
Authors: Tshering Sangay , Dorji Namkha , Letho Zimba , Chhetri Nishal
Published: May 2024

Background

Cervical cancer is the top and fourth leading cause of death among women in Bhutan and worldwide, respectively. The cervical cancer elimination flagship program initiated by the Ministry of Health aims to achieve the 90–70–90 goals by 2030. To achieve this, detection and treatment of pre‐cancerous lesions of the cervix through colposcopy and loop electrosurgical excision procedure (LEEP) are being carried out through the outreach health camps.

Methods

This descriptive study aimed to assess the safety and tolerability of LEEP under local anesthesia and assess the margin status of high‐grade lesion (HGL). We analyzed 193 records of clients who underwent LEEP at Wangdue Phodrang Hospital from 26 September to 5 October 2022. The sociodemographic profile, intraoperative pain, complications, and histopathological reports were described using structured pro forma.

Results

The mean age of clients was 40.9 ± 8.5 years (range 25–66 years). There were 3.1% who had intraoperative and 2.6% who had postoperative bleeding. There were 18.6% who had foul‐smelling vaginal discharge, and 8.3% had moderate‐to‐severe intraoperative pain. Histopathological assessment revealed 29.5% with chronic cervicitis, 34.2% with HGL, and 1.6% with microinvasive cervical carcinoma. The margin positivity for HGL was 36.4%.

Conclusion

Given the safety profile of LEEP under local anesthesia in our setting, the scope of providing a complete cervical cancer screening and treatment package at the primary health care level looks promising. Based on the higher rate of overtreatment and margin positivity, we recommend the practical implementation of standard colposcopy guidelines.
Time‐varying dynamic Bayesian network learning for an fMRI study of emotion processing
Authors: Sun Lizhe , Zhang Aiying , Liang Faming
Published: May 2024

This article presents a novel method for learning time‐varying dynamic Bayesian networks. The proposed method breaks down the dynamic Bayesian network learning problem into a sequence of regression inference problems and tackles each problem using the Markov neighborhood regression technique. Notably, the method demonstrates scalability concerning data dimensionality, accommodates time‐varying network structure, and naturally handles multi‐subject data. The proposed method exhibits consistency and offers superior performance compared to existing methods in terms of estimation accuracy and computational efficiency, as supported by extensive numerical experiments. To showcase its effectiveness, we apply the proposed method to an fMRI study investigating the effective connectivity among various regions of interest (ROIs) during an emotion‐processing task. Our findings reveal the pivotal role of the subcortical‐cerebellum in emotion processing.
Mapping the Influence of Solvent Composition over the Characteristics of Polylactic Acid Nanofibers Fabricated by Electrospinning
Authors: Karabulut Hatice , Unal Semra , Ulag Songul , Ficai Anton , Ficai Denisa , Gunduz Oguzhan
Published: May 2024

This study investigated the solubility of poly(lactic acid) (PLA) in various solvents (to achieve an 8 % (w/v) polymer solution) and its impact on the morphology of electrospun PLA nanofibers. Several solvents, such as dichloromethane (DCM), chloroform (CHL), tetrahydrofuran (THF), acetone (AC), acetonitrile (ACTNR), dimethylformamide (DMF), dimethylacetamide (DMAc), ethylene glycol (ETGLY), distilled water (WATER), methanol (MEOH), formic acid (FA), and n‐hexane (NHX) were used in their pure and binary forms at several ratios (4 : 1, 2 : 1, 1 : 1, 1 : 2, 1 : 3, and 1 : 4). The study aims to explore the correlation between PLA solubility and its electrospinnability using solvents mapped from the Teas graph across different parameter zones and chemical groups. Hansen solubility parameters, including dispersion cohesion fractional solubility parameter (fd), the polar cohesion fractional solubility parameter (fp) was employed to identify the most effective solvents for PLA dissolution. Teas graph analysis highlighted a correlation between PLA solubility and solvent proximity to Hansen solubility parameters. Additionally, the solubility time varied between 1 hour and 24 hours. Polar solvents such as DCM, CHL, THF, ACTNR, and FA were able to dissolve 8 % (w/v) of PLA at different times, but only very high and effective dissolution of PLA was achieved in pure DCM and CHL whereas FA dissolved PLA in 24 hours, which resulted in the slowest solubility rate. Several structures of nanofibers, such as smooth, heterogenous, porous, fibrous, and beaded, were observed and discussed accordingly in terms of solvent type and ratio. The average nanofiber diameter ranged between 0.18 μm and 3.81 μm. Moreover, physical tests, including surface tension, density, viscosity, and conductivity, were conducted on solvent systems and CHL displayed higher viscosity, while ACTNR had the lowest viscosity and highest conductivity among pure solvents. According to the results of our study, it is possible to design further studies with the aim of deciding which solvents or binary forms should be applied to dissolve PLA within a certain time. The desired structure can be easily arranged to be used as a filter, biomimicking tissue environment, drug delivery system, or extra.
Co3O4/RGO Nanoparticles Fabricated by Facile Solvothermal Method as an Anode Material for High‐Performance Lithium‐Ion Batteries
Authors: Zhu Jiping , Zeng Fuhao , Ma Zeping , Tang Weihao
Published: May 2024

A potential anode material for lithium‐ion batteries (LIBs), Co3O4 has been widely considered by many scholars because of its excellent properties in terms of electrochemical characteristics and theoretical specific capacity. However, according to the existing research results, we found that the improvement of the electrochemical performance of Co3O4 has encountered a bottleneck because its intrinsic conductivity is not high enough, and more importantly, the volume expansion is too significant during the charge and discharge process, which leads to the material structure breaking. Therefore, this paper proposes a simple and scalable solvothermal and subsequent calcination method to prepare Co3O4 and reduced graphene oxide (RGO) composite nanoparticles with superior microstructures, and their morphological and electrochemical properties were investigated at different calcination temperatures. As a high‐performance anode material for lithium‐ion batteries, the Co3O4/RGO nanoparticles obtained at 550 °C exhibited terrific initial discharge capacity of 1714.2 mAh g−1, the reversible specific capacity of 1191.9 mAh g−1 with quality coulombic efficiency 98.17 % at 0.5 A g−1 after 100 cycles and extraordinary rate performance (907.6 mAh g−1 with a coulombic efficiency of 99.2 % at 2 A g−1). The facile synthesis method and excellent findings have led to better application prospects for Co3O4/RGO nanoparticles.
Synthesis and Characterization of Palladium/Silver Modified Reduced Graphene Oxide–Nanocomposite Platform for Electrochemical Sensors
Authors: Leve Zandile , Ross Natasha , Pokpas Keagan , Carleschi Emanuela , Doyle Bryan P. , Abraham Sanga Nelia , Mokwebo Kefilwe Vanessa , Iwuoha Emmanuel
Published: May 2024

Metal nanoparticles incorporated into carbon nanostructures have tremendous applications in the field of nanosensors and other technologies. Herein, a nanohybrid of reduced graphene oxide modified with silver and/or palladium nanoparticles (Ag/Pd/rGO) was prepared by impregnation of Pd and Ag into the rGO platform and deposited on a glass carbon electrode. Palladium and silver nanoparticles improve the stability and durability of the sensor platform by preventing the agglomeration of graphene oxide sheets and providing chemical stability against environmental factors. This ensures long‐term reliability and repeatability of the sensor performance. The morphologies and microstructures of the as‐prepared nanohybrid were characterized by X‐ray photoelectron spectroscopy, scanning electron microscopy, transmission electron microscopy, X‐ray diffraction, UV–visible and infrared spectroscopy. The average crystallite size of PdAgNPs was found to be between 12 and 15 nm and demonstrated good dispersion across reduced graphene oxide sheets with high‐loading capacities. Thorough investigation of the electrochemical properties of the nanomaterial surfaces through cyclic voltammetry (CV) experiments, revealed distinct redox peaks for Ag+/Ag0 and Pd2+/Pd0 processes and demonstrated the excellent electrochemical properties of the prepared nanocomposites. The rGO‐PdAgNPs‐GCE had a diffusion coefficient value of 1.14×10−14 cm2 s−1 which is acceptable for electrochemical sensors as it is indicative of a fast response time and enhanced sensitivity to changes in gas concentration. The results obtained through thorough characterizations contributes to the novelty of the research by offering a deeper understanding of the material properties and the potential of the nanohybrid material for a broad application scope.
Synthesis, Crystal Growth, Structural Characterization, Supramolecular Chemistry, and Theoretical Calculations of Methylenium Salts of Benzenesulfonates
Authors: Ullah Ijaz , Li Yunbin , Huang Jiali , Zhang Zhangjing , Xiang Shengchang , Aqil Shehzad Rao , Iqbal Javed , Khan Ezzat
Published: May 2024

The current investigation describes the synthesis of four novel methylene blue (MB) salts of benzene sulfonate derivatives, featuring bulky anionic groups. The process involves treating chloride salt of MB with sodium salts of 4‐aminobenzene sulfonate, 4‐styrenebenzene sulfonate, 3,7‐naphthalene disulfonate, and anthraquinone‐1,5‐naphthalene disulfonate to substitute the chloride ion with benzoate sulfonate anion in MB‐chloride. The synthesis includes quaternizing MB‐chloride with the corresponding benzene sulfonate in minimal aqueous solvent to promote precipitation. The resultant precipitates were subsequently dissolved in an appropriate solvent to enable the crystallization of the ultimate product. The dissolution occurs either at ambient temperature or with heat. The crystals of the resultant salts were characterized using various analytical techniques like UV‐visible, and FT‐IR spectroscopy, TGA, single crystal X‐ray diffraction and powder X‐ray diffraction analysis. The UV‐visible spectroscopic results, frontier molecular orbital, density of states, molecular electrostatic potentials, and HOMO‐LUMO energy gaps were estimated by DFT. Structural analysis revealed that supramolecular structure of compounds achieved stabilization through electrostatic interactions, a diverse range of both conventional and non‐conventional hydrogen bonds, π–π stacking interactions, and other short‐range interactions. The investigation delves into intricate details and offers a thorough discussion of the fundamental principles that contribute to the formation and stabilization of supramolecular structures.
Synthesis of Flurbiprofen Based Amide Derivatives as Potential Leads for Diabetic Management: In Vitro α‐glucosidase Inhibition, Molecular Docking and DFT Simulation Approach
Authors: Alam Aftab , Zainab  , Elhenawy Ahmed A. , Ur Rehman Najeeb , Shahidul Islam Mohammad , Dahlous Kholood A. , Talab Faiz , Shah Syed Adnan Ali , Ali Mumtaz , Ahmad Manzoor
Published: May 2024

This research is based on the synthesis, characterization and in vitro α‐glucosidase inhibitory activity of fourteen amides (2 a–2 n) of flurbiprofen drug. Seven compounds in the series displayed potent inhibitory activity having IC50 values (IC50=5.67±0.89 μM) to (IC50=17.87±2.39 μM) in comparison with acarbose standard (IC50=875.75±1.24 μM). The FMO of 2 a–2 n molecules was quantified by the DFT assay. The promising value for energygap explained the higher poteny agannist α‐glucosidase. MEP provides the insights into the distribution of electrostatic potential on the molecular surface of 2 a–2 n, showing that C=O group has the highest negative potential. The AIM investigation revealed minimal hydrogen bond energy and non‐covalent interactions. This suggests that these molecules may have limited hydrogen bonding and non‐covalent interactions, which could be relevant to their chemical behavior. Molecular docking and (MEP) showed the C=O group, with its high negative potential, is a key in recognizing the catalytic non‐polar regions of enzymes, such as TYR72, GLU277, and ARG442. Similarly, the hydrophobic regions of investigated compounds play a significant role in identifying essential amino acids like ASP352 and ARG442, which are vital for the ligand's proper orientation and subsequent biological activity.
Dynamic hierarchical intrusion detection task offloading in IoT edge networks
Authors: Sahi Mansi , Auluck Nitin , Azim Akramul , Maruf Md Al
Published: May 2024

The Internet of Things (IoT) has gained widespread importance in recent time. However, the related issues of security and privacy persist in such IoT networks. Owing to device limitations in terms of computational power and storage, standard protection approaches cannot be deployed. In this article, we propose a lightweight distributed intrusion detection system (IDS) framework, called FCAFE‐BNET (Fog based Context Aware Feature Extraction using BranchyNET). The proposed FCAFE‐BNET approach considers versatile network conditions, such as varying bandwidths and data loads, while allocating inference tasks to cloud/edge resources. FCAFE‐BNET is able to adjust to dynamic network conditions. This can be advantageous for applications with particular quality of service requirements, such as video streaming or real‐time communication, ensuring a steady and reliable performance. Early exit deep neural networks (DNNs) have been employed for faster inference generation at the edge. Often, the weights that the model learns in the initial layer may be sufficiently qualified to perform the required classification tasks. Instead of using subsequent layers of DNNs for generating the inference, we have employed the early‐exit mechanism in the DNNs. Such DNNs help to predict a wide range of testing samples through these early‐exit branches, upon crossing a threshold. This method maintains the confidence values corresponding to the inference. Employing this approach, we achieved a faster inference, with significantly high accuracy. Comparative studies exploit manual feature extraction techniques, that can potentially overlook certain valuable patterns, thus degrading classification performance. The proposed framework converts textual/tabular data into 2‐D images, allowing the DNN model to autonomously learns its own features. This conversion scheme facilitated the identification of various intrusion types, ranging from 5 to 14 different categories. FCAFE‐BNET works for both network‐based and host‐based IDS: NIDS and HIDS. Our experiments demonstrate that, in comparison with recent approaches, FCAFE‐BNET achieves a 39.12%–50.23% reduction in the total inference time on benchmark real‐world datasets, such as: NSL‐KDD, UNSW‐NB 15, ToN_IoT, and ADFA_LD.
Texture Analysis of Hot Rolled Martensitic and Bainitic Steels by Electron Backscatter Diffraction to Quantify Parent Austenite States
Authors: Zisman Alexander A. , Zolotorevsky Nikolay Y. , Petrov Sergey N.
Published: May 2024

To measure textures of hot rolled martensitic and bainitic steels, electron backscatter diffraction (EBSD) is applied to large areas, each covering about a thousand of prior grains. A scanning step is selected to keep reasonable time of the data acquisition still providing in any grain a significant number of analyzed points. Contributions to the transformation texture appearing from deformation and recrystallization components of the parent texture are estimated with the Bain relationship. To assess the parent austenite state, their proportion is then expressed by a scalar parameter. The results are verified by independent metallographic data. Avoiding the reconstruction of prior grains, this statistical approach will facilitate evaluation of complex austenite structures with comparable fractions of dissimilar material states.
6σ Robust Lightweight Design of the GIL/GIS Bus Based on Co‐Simulation of Insulation, Current Flow, and Mechanical Stress
Authors: Cui Zhaoxuan , Lin Xin , Zhong Jianying , Yao Yongqi , Xu Jianyuan , Wang Zhijun , Zhang Hao
Published: May 2024

GIL/GIS bus is widely used in the field of power transmission and distribution, and the demand for lightweight is becoming more and more prominent. To reduce the weight of the bus and ensure the safety and reliability of the structure, a new 6σ robust design method of the GIL/GIS bus based on electric‐thermal‐mechanical co‐simulation is proposed. Taking a 550 kV/5000A bus as the initial structure, considering the uncertainty of product size and performance, a 6σ robust lightweight model of bus insulation electric field strength, current temperature rise, and mechanical stress multi‐performance co‐simulation is established. The finite element numerical calculation method is used to calculate and analyze the performance parameters of the bus. The Kriging surrogate model is used to form the response surface, and the optimal bus structure is obtained by genetic algorithm. The results show that after the robustness optimization, the performance of the bus meets the design requirements, the weight per meter decreased from 65.11 to 39.12 kg, and the lightweight effect is remarkable. Compared with the traditional deterministic optimization design, the reliability of the structure is improved. The new method of the GIL/GIS bus lightweight design proposed in this study has high feasibility and application prospects, which can provide new ideas for the development of gas‐insulated electrical equipment. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.
Nanosecond Partial Discharge Current Waveforms with Polyethylene Naphthalate Films on IEC(b) Electrode
Authors: Okamoto Tatsuki , Uehara Hiroaki
Published: May 2024

The polyethylene naphthalate (PEN) film has been widely applied as a heat‐resistant thin insulation film and sensor film. For the safe and long application of the film in various products, one significant characteristic is the partial discharge (PD) resistivity. In this study, a well‐known IEC(b) electrode is used to measure PD characteristics such as the maximum partial discharge, qmax and fast PD current waveforms at AC peak voltages of 1–3 kVp and 50–1000 Hz over PEN films with thicknesses of 75, 50, or 25 μm. All experiments are conducted at room temperature of ~20 °C. The positive PD current is defined as the current flowing from a high‐voltage electrode to a ground electrode. The positive and negative qmax increased rapidly with the applied voltage increase but remained almost the same for the applied voltage frequency changes. The PD current duration time was less than 40 ns for the positive current and 30 ns for the negative current at all voltages, frequencies, and film thicknesses. It was deduced that the positive current peak magnitude was approximately twice of the negative one at all applied voltages, frequencies, and film thicknesses. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.