bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of the effect of Er,Cr:YSGG laser application on peri‐implant crevicular fluid receptor activator of nuclear factor‐kappa B ligand and osteoprotegerin levels in the non‐surgical treatment of peri‐implantitis: A randomized clinical trial
Authors: Alpaslan Nazli Zeynep , Altindal Dicle , Akbal Damla , Talmac Ahmet Cemil , Keskin Tunc Serap , Ertugrul Abdullah Seckin 
Published: February 2024

AbstractBackgroundThis study aimed to investigate the effect of erbium, chromium doped:yttrium,scandium,gallium,garnet (Er,Cr:YSGG) laser application combined with non‐surgical mechanical debridement (MD) on clinical parameters and peri‐implant crevicular fluid receptor activator of nuclear factor‐kappa B ligand (RANKL) and osteoprotegerin (OPG) levels in the treatment of peri‐implantitis.MethodsA total of 49 patients who underwent non‐surgical treatment of peri‐implantitis were randomly divided into two groups. The control group (n = 26) received MD alone, while the laser group (n = 23) received MD+Er,Cr:YSGG. The clinical parameters (bleeding on probing [BoP], gingival index [GI], plaque index [PI], probing depth [PD]), marginal bone loss (MBL), and biochemical parameters (RANKL and OPG) were measured at baseline (T0) and 6 months after treatment (T1).ResultsThere was a statistically significant decrease in all the clinical parameters in both groups at T1 compared to T0 (p < 0.05). The BoP, PD, MBL, and RANKL reductions were significantly higher in the laser group than in the control group (p = 0.046, p = 0.014, p = 0.047, p = 0.045, respectively). The OPG levels significantly increased at T1 in the laser group (p = 0.01). The OPG/RANKL ratio increased significantly in both groups at T1, which favored the laser group (p = 0.034).ConclusionsAlthough both treatment methods were influential in treating peri‐implantitis, the laser group (MD+Er,Cr:YSGG) yielded more favorable results by reducing clinical inflammation and improving biochemical parameters. Based on these findings, Er,Cr:YSGG laser may be a beneficial adjunctive treatment in this patient group.
Psychological adaptation among health care workers who work with trauma‐exposed refugees in Greece
Authors: Ghafoori Bita , Triliva Sofia , Chrysikopoulou Panagiota , Vavvos Andreas 
Published: February 2024

AbstractGreek health care workers (HCWs) working with refugee and asylum‐seeker populations may be at risk of trauma exposure and related distress. The current study sought to further understand the factors that may promote or hinder psychological adaptation among HCWs working with trauma‐exposed refugee populations in Greece. Participants were HCWs (N = 20) who completed semistructured interviews. Thematic analysis procedures identified three main themes: vicarious traumatization, (b) mismatch of expectations, and (c) difficulty coping. Our study findings highlight the need to provide adequate training, supervision, and mental health support for HCWs to prevent mental health issues in this population. Additional studies are necessary to understand the long‐term consequences of working with refugee populations and explore ways to assist HCWs with self‐care.
Effects of brackish water irrigation and biochar application on fertility, enzyme activity, and winter wheat yield in coastal saline‐alkali soils
Authors: Wu Wei , Chai Hongxing , Gao Peiling , Gao Penghao , Zhang Xue , Li Mengzhao , Guo Xianglin , Lv Qingxin 
Published: February 2024

AbstractSoil salinization is a common form of land degradation in coastal regions. The Yellow River Delta is a typical coastal saline‐alkali soils distribution region, with saline‐alkali soils accounting for nearly half of the total area of the region. In view of the lack of fresh water in the region, the use of brackish water and biochar made from agricultural waste to improve coastal saline‐alkali soils has a good application prospect, but there are fewer studies on this at present. To explore water conservation, fertilization, and yield enhancement solutions appropriate for saline‐alkali soils in the Yellow River Delta region, this study focused on investigating the impact of biochar addition on the fertility, enzyme activity, and winter wheat yield in saline‐alkali soils under brackish water irrigation conditions. The research was conducted through outdoor potting experiments, utilizing a local moderately saline‐alkali soil as the subject of study. The study design established three different irrigation water mineralization levels (0, 2, and 4 g L−1) during the research. Two types of biochar, wheat straw biochar (WB) and corn straw biochar (CB) were used with four different applications (0, 5, 10, and 20 t ha−1). There were 21 treatments; each replicated three times. The research findings indicated that brackish water irrigation adversely affected soil fertility and soil alkaline phosphatase activity and soil sucrase activity but increased soil urease activity and soil peroxidase activity. In contrast, biochar application improved soil fertility and enzyme activities. The soil fertility and enzyme activities of K2Y10 treatment was higher than that of CK (fresh water, no biochar application) except for soil total nitrogen, which increased by 5.5%–71.2%. While brackish water irrigation decreased winter wheat yield. Biochar application increased winter wheat yield, with the K2Y10 treatment showing the highest yield under brackish water irrigation conditions, and increased by 17.7% compared to CK. In conclusion, the study recommends a combination of water‐saving measures, fertilizer cultivation, and yield increase strategies to improve saline‐alkali soils in the Yellow River Delta region effectively. Specifically, irrigating with 2 g L−1 brackish water and application 10 t ha−1 of CB demonstrated greater efficacy in addressing the challenges of saline‐alkali soils in the region.
Exploring gift gaps: A meta‐analysis of giver–recipient asymmetries
Authors: Freling Ryan E. , Moore Koskie Melanie , Freling Traci H. , Moulard Julie G. , Crosno Jody L. 
Published: February 2024

AbstractGift giving has long intrigued and perplexed consumers and scholars alike. Of particular interest is when and why givers bestow gifts that miss the mark with recipients. The current meta‐analysis quantitatively investigates giver–recipient mismatches by empirically examining 153 unique effects from 114 studies across 29 papers. Results suggest that characteristics of the gifts, characteristics of the occasion, and characteristics of the giver/receiver in the gift exchange presented in the original studies affect the degree to which giver–recipient asymmetries are more/less pronounced. This research confirms a persistent disconnect between evaluations gift givers and recipients make about the exchanges in which they participate. This “Gift Gap” is exacerbated when the gift exchanged is sentimental in value, consumed privately, and when the exchange occurs between friends. These results provide some support for various theoretical perspectives hypothesized to explain these asymmetric evaluations. Finally, this research reveals the dearth of research focused on familial gift exchange, cultural differences in gift exchange, and gift exchange for unpleasant occasions or occasions unrelated to birthdays and holidays.
Effect of Lignin Structure Characteristics on the Performance of Lignin Based Phenol Formaldehyde Adhesives
Authors: Xu Xinwen , Li Haiming , Wang Xing , Shi Haiqiang , Niu Meihong , Zhang Yongchao , Wang Zhiwei , Guo Yanzhu 
Published: February 2024

AbstractAs the second most abundant biopolymer, lignin remains underutilized in various industrial applications. Various forms of lignin generated from different methods affect its physical and chemical properties to a certain extent. To promote the broader commercial utilization of currently available industrial lignins, lignin sulfonate (SL), kraft lignin (KL), and organosolv lignin (OL) are utilized to partially replace phenol in the synthesis of phenol formaldehyde (PF) adhesives. The impact of lignin production process on the effectiveness of lignin‐based phenolic (LPF) adhesives is examined based on the structural analysis of the selected industrial lignin. The results show that OL has more phenolic hydroxyl groups, lower molecular weight, and greater number of reactive sites than the other two types of lignins. The maximum replacement rate of phenol by OL reaches 70% w/w, resulting in organosolv lignin phenolic (OLPF) adhesives with a viscosity of 960 mPa·s, a minimal free formaldehyde content of 0.157%, and a shear strength of 1.84 MPa. It exhibits better performance compared with the other two types of lignin‐based adhesives and meets the requirements of national standards.
Robust EMI elimination for RF shielding‐free MRI through deep learning direct MR signal prediction
Authors: Zhao Yujiao , Xiao Linfang , Hu Jiahao , Wu Ed X. 
Published: February 2024

AbstractPurposeTo develop a new electromagnetic interference (EMI) elimination strategy for RF shielding‐free MRI via active EMI sensing and deep learning direct MR signal prediction (Deep‐DSP).MethodsDeep‐DSP is proposed to directly predict EMI‐free MR signals. During scanning, MRI receive coil and EMI sensing coils simultaneously sample data within two windows (i.e., for MR data and EMI characterization data acquisition, respectively). Afterward, a residual U‐Net model is trained using synthetic MRI receive coil data and EMI sensing coil data acquired during EMI signal characterization window, to predict EMI‐free MR signals from signals acquired by MRI receive and EMI sensing coils. The trained model is then used to directly predict EMI‐free MR signals from data acquired by MRI receive and sensing coils during the MR signal‐acquisition window. This strategy was evaluated on an ultralow‐field 0.055T brain MRI scanner without any RF shielding and a 1.5T whole‐body scanner with incomplete RF shielding.ResultsDeep‐DSP accurately predicted EMI‐free MR signals in presence of strong EMI. It outperformed recently developed EDITER and convolutional neural network methods, yielding better EMI elimination and enabling use of few EMI sensing coils. Furthermore, it could work well without dedicated EMI characterization data.ConclusionDeep‐DSP presents an effective EMI elimination strategy that outperforms existing methods, advancing toward truly portable and patient‐friendly MRI. It exploits electromagnetic coupling between MRI receive and EMI sensing coils as well as typical MR signal characteristics. Despite its deep learning nature, Deep‐DSP framework is computationally simple and efficient.
Effect of reparation on the mechanical behavior of glass fibers/Elium acrylic laminate composites: Experimental and numerical approaches
Authors: Koumba N. , Boumbimba R. Matadi , Bonfoh N. , Eba F. , Wary M. 
Published: February 2024

AbstractElium® Acrylic/Glass Fiber thermoplastic laminate composites are liable to develop irreversible local defects under quasi‐static loading. To reinforce the damaged material, repair is a cost‐effective mechanical alternative. The present study investigates the tensile behavior of an Elium® glass‐fiber‐based acrylic laminate composite panel, repaired by vacuum bonding with Elium® repair resin and double overlap of external patches (DP). The results obtained for all repaired laminate composites E190/GF_D(10, 20, 30)R with diameters 10, 20, and 30 mm showed an improvement in the mechanical properties of the repaired panels, compared with the drilled and pristine samples. Average load recovery rates were significant for E190/GF_D10R (7.9%, 3.55%, 13%) E190/GF_D20R (23%, 18%, 3.32%), E190/GF_D30R (7.2%, 9.36%, 32.37%) at strain rates of 0.001, 0.01, and 0.05 s−1 respectively. Finite element (FE) models for the virgin, drilled, and repaired composite, performed by coupling the Hashin criteria with the cohesive zone model (CZM), provided a relevant prediction of intra‐ and interlaminar failures of these woven laminated composites.Highlights
The effect of vacuum bonding repair with Elium E351 EOT resin was studied.
Symmetrical repair of acrylic laminate drilled by fiberglass patches.
Tensile strength of the repaired laminates was investigated.
Intra‐ and interlaminar damage was predicted by finite elements modeling.
Situational factors affecting abstinence from drugs: Panel data analysis of patients with drug use disorders in residential drug use treatment
Authors: Mizuno Satomi , Shimane Takuya , Inoura Satoshi , Matsumoto Toshihiko 
Published: February 2024

AbstractAimTo identify situational factors that can predict drug abstention in patients with drug use disorders undergoing residential drug use treatment.MethodsPatients with drug use disorders admitted to drug addiction rehabilitation centers (DARCs) in 2016 were involved in this study. Longitudinal panel data were used, with eight follow‐up surveys over 6 years, approximately every 6 months. Of the 2752 samples from the eight follow‐up surveys, 2293 were analyzed as the complete panel data set. The primary outcome was drug abstention for approximately 6 months. The influences of situational factors during this period on the primary outcome were also assessed using a generalized linear mixed model in which inter‐individual differences were controlled as variable effects.ResultsThe use of residential DARCs positively influenced the primary outcome (adjusted odds ratio [AOR] 3.33, 95% confidence interval [CI] 1.79–6.21) when compared to no DARC usage. The cessation of drinking also positively affected the primary outcome (AOR 3.10, 95% CI 1.79–4.62), while employment status (AOR 2.22, 95% CI 1.12–4.41) and the cessation of drinking (AOR 4.92, 95% CI 2.77–8.72) positively impacted the primary outcomes of patients not using DARCs.ConclusionThe use of residential DARCs and the cessation of drinking positively affected drug abstention rates. Employment and the cessation of drinking for patients who were not using the DARCs also had a positive effect. This information will aid in the development of social recovery strategies for people with drug use disorders.
Fabrication optimization of polyethersulfone adsorptive mixed matrix membrane for enhanced dynamic methylene blue removal: Response surface methodology approach
Authors: Zangeneh Zahra , Mohammadi Toraj , Zarghami Soheil , Tofighy Maryam Ahmadzadeh 
Published: February 2024

AbstractIn the present study, the polyethersulfone (PES)/graphene oxide (GO)/polyethylene glycol 200 (PEG‐200) adsorptive mixed matrix membranes (AMMMs) were fabricated using a non‐solvent induced phase inversion method. According to the design of experiments using response surface methodology (RSM), PES concentration (15, 17.5, and 20%), PEG‐200 concentration as a pore former additive (0.5, 2.5, and 4.5%), and GO nanosheet loading percent (0, 0.5, and 1%) were varied during fabrication. A green solvent, dimethyl sulfoxide, was used as an alternative to conventional solvents, while it exhibited better membrane performance. Methylene blue (MB) removal was optimized in PES AMMM synthesis using RSM. Attenuated total reflectance Fourier transform infrared spectroscope confirmed the presence of GO functional groups in the optimum membrane. Scanning electron microscopy analysis revealed the optimum membrane was thicker than the neat membrane and atomic force microscopy analysis demonstrated higher surface roughness. The membranes hydrophilicity increased, with a decrease in water contact angle from 61.1 ± 0.2° (neat PES) to 54.4 ± 0.9° (optimal membrane). Pure water flux of 524.8 L m−2 h−1 and MB rejection of 97.46% were obtained for the optimum membrane. Furthermore, the optimum PES AMMM demonstrated a greater dynamic adsorption capacity in comparison to the unmodified PES membrane.Highlights
The optimization of the polyethersulfone (PES) adsorptive mixed matrix membranes (AMMM) for methylene blue removal was performed utilizing the response surface methodology.
The calculation of the dynamic adsorption capacity (DAC) was performed through the breakthrough curves.
The integration of graphene oxide into the AMMM resulted in an enhanced DAC of the AMMM.
The PES AMMM performance is based on Donnan electrostatic exclusion.
Microwave curing of modified benzoxazine resin/ethylene–propylene–diene monomer rubber/Kevlar composite
Authors: Khodaeian Hamidreza , Ahmadi Zahed , Afshar Taromi Faramarz 
Published: February 2024

AbstractThe purpose of this paper was to show how modified benzoxazine resin/ethylene–propylene–diene monomer rubber/Kevlar composites are prepared. The compatibilization of polar benzoxazine resin and non‐polar EPDM was carried out by EPDM‐g‐MAH copolymer synthesized as a compatibilizer, and then, the microwave (MW) irradiation method and conventional thermal cure (CV) were used to cure this composite. The samples cured by both methods were evaluated and compared by differential scanning calorimetry analysis (DSC), dynamic mechanical thermal analysis (DMTA), scanning electron microscope (SEM), and thermo‐gravimetric analysis (TGA). Microwave curing significantly reduced the curing time, and the composites cured with MW irradiation had higher glass transition temperature (Tg), more uniform curing, higher cross‐link density, and more thermal stability than CV‐cured composites.Highlights
Constructing BZ/EPDM/Kevlar thermal composite for use at high temperatures.
Using modified resin to reduce curing temperature and improve final properties.
Creating compatibility between non‐polar EPDM rubber and polar BZ resin.
Investigating and comparing between thermal and MW curing of the composites.
Allometry and volumes in a nutshell: Analyzing walnut morphology using three‐dimensional X‐ray computed tomography
Authors: Amézquita Erik J. , Quigley Michelle Y. , Brown Patrick J. , Munch Elizabeth , Chitwood Daniel H. 
Published: February 2024

AbstractPersian walnuts (Juglans regia L.) are the second most produced and consumed tree nut, with over 2.6 million metric tons produced in the 2022–2023 harvest cycle alone. The United States is the second largest producer, accounting for 25% of the total global supply. Nonetheless, producers face an ever‐growing demand in a more uncertain climate landscape, which requires effective and efficient walnut selection and breeding of new cultivars with increased kernel content and easy‐to‐open shells. Past and current efforts select for these traits using hand‐held calipers and eye‐based evaluations. Yet there is plenty of morphology that meets the eye but goes unmeasured, such as the volume of inner air or the convexity of the kernel. Here, we study the shape of walnut fruits based on X‐ray computed tomography three‐dimensional reconstructions. We compute 49 different morphological phenotypes for 1264 individual nuts comprising 149 accessions. These phenotypes are complemented by traits of breeding interest such as ease of kernel removal and kernel‐to‐nut weight ratio. Through allometric relationships, relative growth of one tissue to another, we identify possible biophysical constraints at play during development. We explore multiple correlations between all morphological and commercial traits and identify which morphological traits can explain the most variability of commercial traits. We show that using only volume‐ and thickness‐based traits, especially inner air content, we can successfully encode several of the commercial traits.
UAV image acquisition and processing for high‐throughput phenotyping in agricultural research and breeding programs
Authors: Bongomin Ocident , Lamo Jimmy , Guina Joshua Mugeziaubwa , Okello Collins , Ocen Gilbert Gilibrays , Obura Morish , Alibu Simon , Owino Cynthia Awuor , Akwero Agnes , Ojok Samson 
Published: February 2024

AbstractWe are in a race against time to combat climate change and increase food production by 70% to feed the ever‐growing world population, which is expected to double by 2050. Agricultural research plays a vital role in improving crops and livestock through breeding programs and good agricultural practices, enabling sustainable agriculture and food systems. While advanced molecular breeding technologies have been widely adopted, phenotyping as an essential aspect of agricultural research and breeding programs has seen little development in most African institutions and remains a traditional method. However, the concept of high‐throughput phenotyping (HTP) has been gaining momentum, particularly in the context of unmanned aerial vehicle (UAV)‐based phenotyping. Although research into UAV‐based phenotyping is still limited, this paper aimed to provide a comprehensive overview and understanding of the use of UAV platforms and image analytics for HTP in agricultural research and to identify the key challenges and opportunities in this area. The paper discusses field phenotyping concepts, UAV classification and specifications, use cases of UAV‐based phenotyping, UAV imaging systems for phenotyping, and image processing and analytics methods. However, more research is required to optimize UAVs’ performance for image data acquisition, as limited studies have focused on the effect of UAVs’ operational parameters on data acquisition.
Post‐ingestive stability of a mulberry Kunitz‐type protease inhibitor MnKTI‐1 in the digestive lumen of silkworm: dual inhibition towards α‐amylase and serine protease
Authors: Liang Jiubo , Lu Hulin , Hao Haiye , Zhang Qi , Chen Kaiying , Xiang Zhonghuai , He Ningjia 
Published: February 2024

AbstractBACKGROUNDAdaptation of specialist insects to their host plants and defense responses of plants to phytophagous insects have been extensively recognized while the dynamic interaction between these two events has been largely underestimated. Here, we provide evidence for characterization of an unrevealed dynamic interaction mode of digestive enzymes of specialist insect silkworm and inhibitor of its host plant mulberry tree.RESULTSMnKTI‐1, a mulberry Kunitz‐type protease inhibitor, whose messenger RNA (mRNA) transcription and protein expression in mulberry leaf were severely triggered and up‐regulated by tens of times in a matter of hours in response to silkworm, Bombyx mori, and other mulberry pest insects, suggesting a quick response and broad spectrum to insect herbivory. MnKTI‐1 proteins were detected in gut content and frass of specialist B. mori, and exhibited significant post‐ingestive stability. Recombinant refolded MnKTI‐1 (rMnKTI‐1) displayed binding affinity to digestive enzymes and a dual inhibitory activity to α‐amylase BmAmy and serine protease BmSP2956 in digestive juice of silkworm. Moreover, data from in vitro assays proved that the inhibition of recombinant rMnKTI‐1 to BmAmy can be reverted by pre‐incubation with BmSP15920, an inactivated silkworm digestive protease that lack of complete catalytic triad.CONCLUSIONThese findings demonstrate that mulberry MnKTI‐1 has the potential to inhibit the digestive enzyme activities of its specialist insect herbivore silkworm, whereas this insect may employ inactivated proteases to block protease inhibitors to accomplish food digestion. The current work provides an insight to better understand the interacting mode between host plant Kunitz protease inhibitors and herbivorous insect digestive enzymes. © 2024 Society of Chemical Industry.