bluuebunny/crossref_metadata_2025_split huggingface dataset:
A flexible organic mechanoluminophore device
Authors: Zhang Qingyang , Xu Mengxin , Zhou Liming , Liu Shihao , Wang Wei , Zhang Letian , Xie Wenfa , Yu Cunjiang 
Published: March 2023

AbstractA flexible mechanoluminophore device that is capable of converting mechanical energy into visualizable patterns through light-emission holds great promise in many applications, such as human-machine interfaces, Internet of Things, wearables, etc. However, the development has been very nascent, and more importantly, existing mechanoluminophore materials or devices emit light that cannot be discernible under ambient light, in particular with slight applied force or deformation. Here we report the development of a low-cost flexible organic mechanoluminophore device, which is constructed based on the multi-layered integration of a high-efficiency, high-contrast top-emitting organic light-emitting device and a piezoelectric generator on a thin polymer substrate. The device is rationalized based on a high-performance top-emitting organic light-emitting device design and maximized piezoelectric generator output through a bending stress optimization and have demonstrated that it is discernible under an ambient illumination as high as 3000 lux. A flexible multifunctional anti-counterfeiting device is further developed by integrating patterned electro-responsive and photo-responsive organic emitters onto the flexible organic mechanoluminophore device, capable of converting mechanical, electrical, and/or optical inputs into light emission and patterned displays.
A gene silencing screen uncovers diverse tools for targeted gene repression in Arabidopsis
Authors: Wang Ming , Zhong Zhenhui , Gallego-Bartolomé Javier , Li Zheng , Feng Suhua , Kuo Hsuan Yu , Kan Ryan L. , Lam Hoiyan , Richey John Curtis , Tang Linli , Zhou Jessica , Liu Mukun , Jami-Alahmadi Yasaman , Wohlschlegel James , Jacobsen Steven E. 
Published: March 2023

AbstractDNA methylation has been utilized for target gene silencing in plants. However, it is not well understood whether other silencing pathways can be also used to manipulate gene expression. Here we performed a gain-of-function screen for proteins that could silence a target gene when fused to an artificial zinc finger. We uncovered many proteins that suppressed gene expression through DNA methylation, histone H3K27me3 deposition, H3K4me3 demethylation, histone deacetylation, inhibition of RNA polymerase II transcription elongation or Ser-5 dephosphorylation. These proteins also silenced many other genes with different efficacies, and a machine learning model could accurately predict the efficacy of each silencer on the basis of various chromatin features of the target loci. Furthermore, some proteins were also able to target gene silencing when used in a dCas9-SunTag system. These results provide a more comprehensive understanding of epigenetic regulatory pathways in plants and provide an armament of tools for targeted gene manipulation.
Shift current photovoltaic efficiency of 2D materials
Authors: Sauer Mikkel Ohm , Taghizadeh Alireza , Petralanda Urko , Ovesen Martin , Thygesen Kristian Sommer , Olsen Thomas , Cornean Horia , Pedersen Thomas Garm 
Published: March 2023

AbstractShift current photovoltaic devices are potential candidates for future cheap, sustainable, and efficient electricity generation. In the present work, we calculate the solar-generated shift current and efficiencies in 326 different 2D materials obtained from the computational database C2DB. We apply, as metrics, the efficiencies of monolayer and multilayer samples. The monolayer efficiencies are generally found to be low, while the multilayer efficiencies of infinite stacks show great promise. Furthermore, the out-of-plane shift current response is considered, and material candidates for efficient out-of-plane shift current devices are identified. Among the screened materials, MXY Janus and MX2 transition metal dichalchogenides (TMDs) constitute a prominent subset, with chromium based MXY Janus TMDs holding particular promise. Finally, in order to explain the band gap dependence of the PV efficiency, a simple gapped graphene model with a variable band gap is established and related to the calculated efficiencies.
Ontogenetic changes in the body structure of the Arctic fish Leptoclinus maculatus
Authors: Pekkoeva S. N. , Kondakova E. A. , Falk-Petersen S. , Berge J. , Murzina S. A. 
Published: March 2023

AbstractHistological studies of the ontogenetic changes in Arctic marine fishes are often fragmented and incomplete. Here we present a comprehensive histological ontogenetic analysis of the daubed shanny (Leptoclinus maculatus) from the Arctic, characterizing its development as it undergoes a series of changes in the organ and tissue organization, especially during the postlarvae transition from the pelagic to benthic lifestyle. The thyroid, heart, digestive tract, liver, gonads, blood, and the lipid sac of the postlarvae at different developmental stages (L1–L5) were studied for the first time. We found that L. maculatus has structural characteristics of marine fish developing in cold, high-oxygen polar waters. We conclude that the presence of the lipid sac and the absence of distinguishable red blood cells in pelagic postlarvae are unique features of the daubed shanny most likely linked to its successful growth and development in the Arctic environment.
Longitudinal follow-up study of the association with gout and Alzheimer’s disease and Parkinson’s disease in Korea
Authors: Lee Eun Jae , Kim So Young , Choi Hyo Geun , Kim Yoo Hwan , Kwon Mi Jung , Kim Joo-Hee , Lee Heui Seung , Oh Jae Keun , Chang In Bok , Song Joon Ho , Kim Ji Hee 
Published: March 2023

AbstractTo date, no clear conclusion on the relationships of gout with the occurrence of typical neurodegenerative diseases, Alzheimer’s disease (AD) and Parkinson’s disease (PD), has been reached. This study aimed to determine whether the patients with gout are at a lower or higher probability of developing AD or PD than those without gout. Longitudinal follow-up data of a representative sample of Korean adults were assessed. 18,079 individuals diagnosed with gout between 2003 and 2015 were enrolled in the gout group. The comparison group comprised 72,316 demographics-matched individuals not diagnosed with gout. Longitudinal associations of gout with AD or PD were estimated using Cox proportional hazard regression adjusting for potential confounders. The adjusted hazard ratios (HRs) of AD and PD in the gout group were 1.01 and 1.16 times higher than controls, but these differences were not statistically significant (95% confidence interval [CI] = 0.92–1.12 and 95% CI = 0.97–1.38, respectively). Although there was no significant association in the entire sample, AD and PD probabilities in patients with gout were significantly higher in participants < 60 years, and PD probabilities in patients with gout were significantly higher in overweight participants. Our findings identify significant correlations of gout with AD and PD in participants < 60 years and gout with PD in those with overweight, indicating that gout may play a role in the development of neurodegenerative diseases in younger or overweight populations. Further investigations should be performed to corroborate these findings.
Pneumonitis associated with pembrolizumab plus chemotherapy for non-squamous non-small cell lung cancer
Authors: Fujimoto Daichi , Miura Satoru , Tomii Keisuke , Sumikawa Hiromitsu , Yoshimura Kenichi , Wakuda Kazushige , Oya Yuko , Yokoyama Toshihide , Kijima Takashi , Asao Tetsuhiko , Tamiya Motohiro , Nakamura Atsushi , Yoshioka Hiroshige , Tokito Takaaki , Murakami Shuji , Tamiya Akihiro , Yokouchi Hiroshi , Watanabe Satoshi , Yamaguchi Ou , Morinaga Ryotaro , Jodai Takayuki , Ito Kentaro , Shiraishi Yoshimasa , Kogure Yoshihito , Shibaki Ryota , Yamamoto Nobuyuki 
Published: March 2023

AbstractStudies elucidating detailed characteristics of pneumonitis in association with chemo-immunotherapy are limited. We aimed to investigate the characteristics of images, prognostic factors, and clinical course of combination therapy associated with pneumonitis. A multicenter, retrospective cohort study of patients with non-squamous non-small cell lung cancer who received a combination of platinum, pemetrexed, and pembrolizumab was conducted. Patients with confirmed pneumonitis established by an independent multidisciplinary team were enrolled. For 53 patients with pneumonitis, radiographic features at diagnosis predominantly comprised an organizing pneumonia pattern (62%, 33/53). Twelve (23%) patients experienced a worsening respiratory status during pneumonitis management, which was associated with a high mortality rate (58%, 7/12) during treatment. Severe grade at pneumonitis diagnosis (p < 0.001), diffuse alveolar damage (DAD) pattern (p = 0.002), and disease extent ≥ 25% in the lungs (p = 0.009) were significantly associated with worsening respiratory status. Furthermore, post-diagnosis survival was significantly worse in severe pneumonitis (p = 0.02) than in mild and in patients with the DAD pattern than in those without (p < 0.0001). We showed detailed clinical course of patients with pneumonitis and reported several important influencing factors. Given the small number of trials on pneumonitis, our findings provide valuable information to guide the development of appropriate management guidelines and improve pneumonitis treatment.
Machine learning-based CT radiomics model to discriminate the primary and secondary intracranial hemorrhage
Authors: Lyu Jianbo , Xu Zhaohui , Sun HaiYan , Zhai Fangbing , Qu Xiaofeng 
Published: March 2023

AbstractIt is challenging to distinguish between primary and secondary intracranial hemorrhage (ICH) purely by imaging data, and the two forms of ICHs are treated differently. This study aims to evaluate the potential of CT-based machine learning to identify the etiology of ICHs and compare the effectiveness of two regions of interest (ROI) sketching methods. A total of 1702 radiomic features were extracted from the CT brain images of 238 patients with acute ICH. We used the Select K Best method, least absolute shrinkage, and selection operator logistic regression to select the most discriminable features with a support vector machine to build a classifier model. Then, a ten-fold cross-validation strategy was employed to evaluate the performance of the classifier. From all quantitative CT-based imaging features obtained by two sketch methods, eighteen features were selected respectively. The radiomics model outperformed radiologists in distinguishing between primary and secondary ICH in both the volume of interest and the three-layer ROI sketches. As a result, a machine learning-based CT radiomics model can improve the accuracy of identifying primary and secondary ICH. A three-layer ROI sketch can identify primary versus secondary ICH based on the CT radiomics method.
A novel molecular imaging probe [99mTc]Tc-HYNIC-FAPI targeting cancer-associated fibroblasts
Authors: Jiang Yanghongyan , Tian Yaxin , Feng Bei , Zhao Tingting , Du Liang , Yu Xiaodong , Zhao Qian 
Published: March 2023

AbstractFibroblast activation protein (FAP) is higher expressed on cancer-associated fibroblasts (CAFs) in most malignant epithelial neoplasms, which is lower expressed in normal tissues. As a promising small molecular probe, FAP inhibitor (FAPI) shows the specific binding to FAP. This study aimed to explore a novel molecular probe [99mTc]Tc-HYNIC-FAPI targeting CAFs. The in vitro characteristics of the probe were also evaluated. The FAPI targeting FAP was designed, synthesized and conjugated with the chelator 6-hydrazinylnicotinic acid (HYNIC) for radiolabeling with 99mTc. The radiolabeling yield, radiochemical purity and stability were evaluated by Instant thin-layer chromatography (ITLC) and High performance liquid chromatography (HPLC). Lipophilicity was performed by the distribution coefficient test. The binding and migration ability of the probe was assessed using the FAP transfected tumor cell line. The radiolabeling yield of [99mTc]Tc-HYNIC-FAPI was (97.29 ± 0.46) %. The radiochemical purity was more than 90% and kept stable until 6 h. The radioligand was shown as lower lipophilicity, of which logD7.4 value was − 2.38 $$\pm$$
±
0.13. In vitro experiments, the results indicated that the probe showed binding properties, and inhibited the migration of tumor cells. The novel [99mTc]Tc-HYNIC-FAPI probe was successfully radiosynthesized and exhibited good radiochemical purity, stability and in vitro binding ability to tumor cells. The [99mTc]Tc-HYNIC-FAPI will be a promising SPECT/CT imaging probe.
The biomechanical effect of fibular strut grafts on humeral surgical neck fractures with lateral wall comminution
Authors: Chang Hsien-Hao , Lim Joon-Ryul , Lee Kil-Han , An Haemosu , Yoon Tae-Hwan , Chun Yong-Min 
Published: March 2023

AbstractNo studies have evaluated the effect of fibular strut augmentation on the stability of locking plate fixation for osteoporotic proximal humeral fractures with lateral wall comminution. The purpose of this study was to evaluate the stability of locking plate fixation with a fibular strut graft compared with locking plate alone in an osteoporotic two-part surgical neck fracture model with lateral cortex comminution. Ten paired fresh-frozen cadaveric humeri were randomly allocated into two groups, either the locking plate alone (LP group) or locking plate with fibular strut graft augmentation (LPFSG group), with an equal number of right and left osteoporotic surgical neck fractures with lateral wall comminution of the greater tuberosity. Varus, internal/external torsion, and axial compression stiffness as well as single load to failure were measured in plate-bone constructs, and the LPFSG group showed significantly greater values in all metrics. In conclusion, this biomechanical study shows that fibular strut augmentation significantly enhances varus stiffness, internal torsion stiffness, external torsion stiffness, and maximum failure load of a construct compared to locking plate fixation alone in proximal humeral fractures with lateral wall comminution.
Infrared radiative switching with thermally and electrically tunable transition metal oxides-based plasmonic grating
Authors: Araki Ken , Zhang Richard Z. 
Published: March 2023

AbstractPlasmonic and phase transition has been blended to gain the infrared radiative switching which is tunable with temperature or voltage supply. This is applied via vanadium dioxide, tungsten trioxide, and molybdenum trioxide as transition metal oxides (TMO). The metallic phase at high temperature or colored state contributes in magnetic polariton (MP) excitation, producing broad absorptance. The TMO-based sub-layer is integrated underneath the grating fully supporting MP resonance. In contrast, this underlayer leads to producing the narrowband absorptance originated from concept of zero contrast grating (ZCG). The zero gradient in refractive index at the output plane of the grating cause transmission of light in broad wavelength range. With introduction of reflective silver underlayer, those transmitted through the grating are reflected back. However, there exists the near-zero narrowband transmission peaks in ZCG. This undergoes transformation to narrowband absorptance. In addition, another absorptance peak can be induced due to phonon modes at insulating phase. The MP resonance at metallic phase is characterized with inductor-capacitor (LC) circuit and the narrowband absorptance peaks are characterized with phase shift from the Fabry–Perot round trip (FP-RT) eigenequation from high contrast grating (HCG). The work expands the usage of transition metal oxides in infrared region with larger contrast.
Pattern-based hybrid book recommendation system using semantic relationships
Authors: Wayesa Fikadu , Leranso Mesfin , Asefa Girma , Kedir Abduljebar 
Published: March 2023

AbstractIn the fields of machine learning and artificial intelligence, recommendation systems (RS) or recommended engines are commonly used. In today's world, recommendation systems based on user preferences assist consumers in making the best decisions without depleting their cognitive resources. They can be applied to a variety of things, including search engines, travel, music, movies, literature, news, gadgets, and dining. A lot of people utilize RS on social media sites like Facebook, Twitter, and LinkedIn, and it has proven beneficial in corporate settings like those at Amazon, Netflix, Pandora, and Yahoo. There have been numerous proposals for recommender system variations. However, certain techniques result in unfairly recommended things due to biased data because there are no established connections between the items and consumers. In order to solve the challenges mentioned above for new users, we propose in this work to employ Content-based Filtering (CBF) and Collaborative Filtering (CF) with semantic relationships to capture the relationships as knowledge-based book recommendations to readers in a digital library. When proposing things, patterns are more discriminative than single phrases. To capture the similarity of the books that the new user had retrieved, the patterns were grouped in a semantically equivalent manner using the Clustering method. The effectiveness of the suggested model is examined through a series of extensive tests employing Information Retrieval (IR) evaluation criteria. Recall Precision and F-Measure, two of the three widely used performance measuring metrics, were employed. The findings demonstrate that the suggested model performs noticeably better than cutting-edge models.
One-pot synthesis of 1,3-oxazin-4-ones through an Ir-catalyzed mild formal condensation reaction of secondary amides with acyl chlorides
Authors: Yu Si-Jia , Li Jie , Ye Jian-Liang , Huang Pei-Qiang 
Published: March 2023

Bicyclic 2,3,6,7-tetrahydrocyclopenta[e]-1,3-oxazin-4-ones/2,3,5,6,7,8-hexahydro-4H-benzo[e]-1,3-oxazin-4-ones and monocyclic 1,3-oxazin-4-ones were prepared via an Ir-catalyzed one-pot reaction of secondary amides with acyl chlorides in good yields.
Acid–base imbalance as a risk factor for mortality among COVID-19 hospitalized patients
Authors: Al-Azzam Nosayba , Khassawneh Basheer , Al-Azzam Sayer , Karasneh Reema A. , Aldeyab Mamoon A. 
Published: March 2023

Abstract
Severe coronavirus disease 2019 (COVID-19) infection can lead to extensive lung infiltrate, a significant increase in the respiratory rate, and respiratory failure, which can affect the acid–base balance. No research in the Middle East has previously examined acid–base imbalance in COVID-19 patients. The present study aimed to describe the acid–base imbalance in hospitalized COVID-19 patients, determine its causes, and assess its impact on mortality in a Jordanian hospital.
The study divided patients into 11 groups based on arterial blood gas data. Patients in normal group were defined as having a pH of 7.35–7.45, PaCO2 of 35–45 mmHg, and HCO3− of 21–27 mEq/L. Other patients were divided into 10 additional groups: mixed acidosis and alkalosis, respiratory and metabolic acidosis with or without compensation, and respiratory and metabolic alkalosis with or without compensation. This is the first study to categorize patients in this way.
The results showed that acid–base imbalance was a significant risk factor for mortality (P&lt;0.0001). Mixed acidosis nearly quadruples the risk of death when compared with those with normal levels (OR = 3.61, P=0.05). Furthermore, the risk of death was twice as high (OR = 2) for metabolic acidosis with respiratory compensation (P=0.002), respiratory alkalosis with metabolic compensation (P=0.002), or respiratory acidosis with no compensation (P=0.002).
In conclusion, acid–base abnormalities, particularly mixed metabolic and respiratory acidosis, were associated with increased mortality in hospitalized COVID-19 patients. Clinicians should be aware of the significance of these abnormalities and address their underlying causes.
Gliotoxin and related metabolites as zinc chelators: implications and exploitation to overcome antimicrobial resistance
Authors: Downes Shane G. , Doyle Sean , Jones Gary W. , Owens Rebecca A. 
Published: March 2023

Abstract
Antimicrobial resistance (AMR) is a major global problem and threat to humanity. The search for new antibiotics is directed towards targeting of novel microbial systems and enzymes, as well as augmenting the activity of pre-existing antimicrobials. Sulphur-containing metabolites (e.g., auranofin and bacterial dithiolopyrrolones [e.g., holomycin]) and Zn2+-chelating ionophores (PBT2) have emerged as important antimicrobial classes. The sulphur-containing, non-ribosomal peptide gliotoxin, biosynthesised by Aspergillus fumigatus and other fungi exhibits potent antimicrobial activity, especially in the dithiol form (dithiol gliotoxin; DTG). Specifically, it has been revealed that deletion of the enzymes gliotoxin oxidoreductase GliT, bis-thiomethyltransferase GtmA or the transporter GliA dramatically sensitise A. fumigatus to gliotoxin presence. Indeed, the double deletion strain A. fumigatus ΔgliTΔgtmA is especially sensitive to gliotoxin-mediated growth inhibition, which can be reversed by Zn2+ presence. Moreover, DTG is a Zn2+ chelator which can eject zinc from enzymes and inhibit activity. Although multiple studies have demonstrated the potent antibacterial effect of gliotoxin, no mechanistic details are available. Interestingly, reduced holomycin can inhibit metallo-β-lactamases. Since holomycin and gliotoxin can chelate Zn2+, resulting in metalloenzyme inhibition, we propose that this metal-chelating characteristic of these metabolites requires immediate investigation to identify new antibacterial drug targets or to augment the activity of existing antimicrobials. Given that (i) gliotoxin has been shown in vitro to significantly enhance vancomycin activity against Staphylococcus aureus, and (ii) that it has been independently proposed as an ideal probe to dissect the central ‘Integrator’ role of Zn2+ in bacteria – we contend such studies are immediately undertaken to help address AMR.
Families' Experiences in the Virtual Hanen
More Than Words
Program During the COVID-19 Pandemic
Authors: Denusik Lauren , Servais Michelle , Glista Danielle , Hatherly Kathryn , Moodie Sheila , Cardy Janis Oram , Weitzman Elaine , Cunningham Barbara Jane 
Published: March 2023

Purpose:

The COVID-19 pandemic required most pediatric rehabilitation programs to shift to a virtual delivery format without the benefits of evidence to support this transition. Our study explored families' experiences participating virtually in
More Than Words
, a program for parents of autistic children, with the goal of generating new evidence to inform both virtual service delivery and program development.

Method:

Twenty-one families who recently completed a virtual
More Than Words
program participated in a semistructured interview. The interviews were transcribed and analyzed in NVivo using a top-down deductive approach that referenced a modified Dynamic Knowledge Transfer Capacity model.

Results:

Six themes capturing families' experiences with different components of virtual service delivery were identified: (a) experiences participating from home, (b) accessing the
More Than Words
program, (c) delivery methods and program materials, (d) the speech-language pathologist–caregiver relationship, (e) new skills learned, and (f) virtual program engagement.

Conclusions:
Most participants had a positive experience in the virtual program. Suggested areas for improvement included the time and length of intervention sessions and increasing social connections with other families. Practice considerations related to the importance of childcare during group sessions and having another adult to support the videorecording of parent–child interactions. Clinical implications include suggestions for how clinicians can create a positive virtual experience for families.

Supplemental Material:

https://doi.org/10.23641/asha.22177601