bluuebunny/crossref_metadata_2025_split huggingface dataset:
Neuroprotective and antioxidant properties of new quinolylnitrones in in vitro and in vivo cerebral ischemia models
Authors: Chamorro Beatriz , Izquierdo-Bermejo Sara , Serrano Julia , Hadjipavlou-Litina Dimitra , Chioua Mourad , López-Muñoz Francisco , Marco-Contelles José , Martínez-Murillo Ricardo , Oset-Gasque María Jesús 
Published: February 2023

AbstractCerebral ischemia is a condition affecting an increasing number of people worldwide, and the main cause of disability. Current research focuses on the search for neuroprotective drugs for its treatment, based on the molecular targets involved in the ischemic cascade. Nitrones are potent antioxidant molecules that can reduce oxidative stress. Here we report the neuroprotective properties and the antioxidant power of the six new quinolylnitrones (QNs) 1–6 for their potential application in stroke therapy. QNs 1–4 are 2-chloro-8-hydroxy-substituted QNs bearing N-t-butyl or N-benzyl substituents at the nitrone motif located at C3, whereas QN5 and QN6 are 8-hydroxy QNs bearing N-t-butyl or N-benzyl substituents at the nitrone motif located at C2, respectively. In vitro neuroprotection studies using QNs 1–6 in an oxygen-glucose-deprivation model of cerebral ischemia, in human neuroblastoma cell cultures, indicate that all QNs have promising neuroprotective, anti-necrotic, anti-apoptotic, and anti-oxidant properties against experimental ischemia–reperfusion in neuronal cultures. QN6 stands out as the most balanced nitrone out of all tested QNs, as it strongly prevents decreased neuronal metabolic activity (EC50 = 3.97 ± 0.78 μM), as well as necrotic (EC50 = 3.79 ± 0.83 μM) and apoptotic cell death (EC50 = 3.99 ± 0.21 μM). QN6 showed high capacity to decrease superoxide production (EC50 = 3.94 ± 0.76 μM), similar to its parent molecule α-phenyl-tert-butyl nitrone (PBN) and the well-known anti-oxidant molecule N-acetyl-l-cysteine (NAC). Thus, QN6 demonstrated the highest antioxidant power out of the other tested QNs. Finally, in vivo treatment with QN6 in an experimental permanent stroke model elicited a significant reduction (75.21 ± 5.31%) of the volume size of brain lesion. Overall, QN6 is a potential agent for the therapy of cerebral ischemia that should be further investigated.
Chair squat performance as a potential predictor of nurses’ physical capabilities in ergonomic patient transfers
Authors: Brinkmann Anna , Kowalski Christian , Lau Sandra , Meyer Ole , Diekmann Rebecca , Hein Andreas 
Published: February 2023

AbstractMuscle activation and movements performed during occupational work can lead to musculoskeletal disorders, one of the nursing profession's most significant health hazards. However, physical activity like exercise training tailored to the exposure and physical ability offers health prevention and rehabilitation. Professional nursing associations have advised squat training to promote occupational health because it strengthens lower limb and back muscles. Given that squatting is a fundamental part of many daily activities and various actions in caregiving processes, we hypothesized that chair squat performance is a potential predictor of nurses’ physical capabilities to perform occupational tasks. We conducted kinetic and electromyographic assessments of 289 chair squat repetitions and compared them to ergonomic patient transfer tasks. In this task, nurses transferred a supine patient to a lateral position in a care bed using similar movement characteristics of the squat task. This cross-sectional pilot study provides initial insights into nurses’ kinetic and muscle activation patterns of health-enhancing and compensational strategies. Highly asymmetric movements corresponded to distinct extremes in lower limb and spine muscle activity data—e.g., increased activity of the rectus femoris indicates increased hip flexion, including postural sway and, therefore, high torsional forces affecting the sacroiliac joints. The potential of the chair squat performance as a predictor of nurses’ physical capabilities in ergonomic patient transfers was quantified by a 2 × 2 contingency table resulting in an accuracy rate of 73%.
Quantitative proteomic analysis of human serum using tandem mass tags to predict cardiovascular risks in patients with psoriasis
Authors: Kim Na Young , Back Ji Hyun , Shin Jong Hwan , Ji Mi-Jung , Lee Su Jin , Park Yae Eun , Park Hyun-Mee , Gu Man Bock , Lee Ji Eun , Kim Jeong Eun 
Published: February 2023

AbstractAlthough biomarker candidates associated with psoriasis have been suggested, those for predicting the risk of cardiovascular disease (CVD) early in patients with psoriasis are lacking. We aimed to identify candidate biomarkers that can predict the occurrence of CVD in psoriasis patients. We pursued quantitative proteomic analysis of serum samples composed of three groups: psoriasis patients with and those without CVD risk factors, and healthy controls. Age/Sex-matched serum samples were selected and labeled with 16-plex tandem mass tag (TMT) and analyzed using liquid chromatography-mass spectrometry and subsequent verification with ELISA. Of the 184 proteins that showed statistical significance (P-value < 0.05) among the three groups according to TMT-based quantitative analysis, 98 proteins showed significant differences (> 2.0-fold) between the psoriasis groups with and without CVD risk factors. Verification by ELISA revealed that caldesmon (CALD1), myeloid cell nuclear differentiation antigen (MNDA), and zyxin (ZYX) levels were significantly increased in the psoriasis group with CVD risk factors. Further network analysis identified pathways including integrin signaling, which could be related to platelet aggregation, and actin cytoskeleton signaling. Three novel candidates (MNDA, ZYX, and CALD1) could be potential biomarkers for predicting CVD risks in psoriasis patients. We expect these biomarker candidates can be used to predict CVD risk in psoriasis patients in clinical settings although further studies including large validation are needed.
RNA independent fragment partition method based on deep learning for RNA secondary structure prediction
Authors: Zhao Qi , Mao Qian , Zhao Zheng , Yuan Wenxuan , He Qiang , Sun Qixuan , Yao Yudong , Fan Xiaoya 
Published: February 2023

AbstractThe non-coding RNA secondary structure largely determines its function. Hence, accuracy in structure acquisition is of great importance. Currently, this acquisition primarily relies on various computational methods. The prediction of the structures of long RNA sequences with high precision and reasonable computational cost remains challenging. Here, we propose a deep learning model, RNA-par, which could partition an RNA sequence into several independent fragments (i-fragments) based on its exterior loops. Each i-fragment secondary structure predicted individually could be further assembled to acquire the complete RNA secondary structure. In the examination of our independent test set, the average length of the predicted i-fragments was 453 nt, which was considerably shorter than that of complete RNA sequences (848 nt). The accuracy of the assembled structures was higher than that of the structures predicted directly using the state-of-the-art RNA secondary structure prediction methods. This proposed model could serve as a preprocessing step for RNA secondary structure prediction for enhancing the predictive performance (especially for long RNA sequences) and reducing the computational cost. In the future, predicting the secondary structure of long-sequence RNA with high accuracy can be enabled by developing a framework combining RNA-par with various existing RNA secondary structure prediction algorithms. Our models, test codes and test data are provided at https://github.com/mianfei71/RNAPar.
Effective-compound combination of Bufei Yishen formula III combined with ER suppress airway mucus hypersecretion in COPD rats: via EGFR/MAPK signaling
Authors: Xu Kexin , Ma Jindi , Lu Ruilong , Shao Xuejie , Zhao Yakun , Cui Lili , Qiu Zhiguang , Tian Yange , Li Jiansheng 
Published: February 2023

Abstract
Background: The aim of this study was to explore the combined efficacy ofeffective-component compatibility of Bufei Yishen formula III (ECC-BYF III) and exercise rehabilitation (ER) in inhibiting airway mucus hypersecretion in a chronic obstructive pulmonary disease (COPD) rat model.
Methods: A total of 48 SD rats were divided into control, model, acetylcysteine (NAC), ECC-BYF III, ER, and ECC-BYF III + ER groups (n=8). COPD rats were exposed to cigarette smoke and bacteria for 8 weeks and administered various treatments over the next eight weeks. Rats were euthanized at week 17 after pulmonary function testing. Pathological examination of lung tissues was performed. IL-6 and IL-10 levels were measured in bronchoalveolar lavage fluid (BALF) and protein levels of MUC5AC, MUC5B, AQP-5, EGFR, ERK, JNK, and p38 were measured in lung tissues.
Results: Improved pulmonary function and pathological changes were observed in ECC-BYF III, ECC-BYF III + ER, and NAC groups. ECC-BYF III and ECC-BYF III + ER had greater mean alveolar number (MAN) compared with NAC. Lung inflammation and goblet cell generation were reduced and MUC5AC, MUC5B and AQP-5 expressions were lower in all treatment groups. ECC-BYF III has more significant effect on MUC5AC than ER and NAC. ECC-BYFIII + ER had a greater effect on suppressing IL-6 in BALF compared with other treatments. ECC-BYFIII, ER, and ECC-BYF III + ER reduced EGFR, ERK, JNK, and p38 phosphorylated protein levels. ECC-BYFIII+ER had a greater effect on p-JNK and p-p38 than ECC-BYFIII and NAC.
Conclusion: ECC-BYF III, ER, and ECC-BYF III + ER have efficacy in inhibiting airway mucus hypersecretion with improved pulmonary function and pathological changes. ECC-BYF III had a greater effect in improving MAN and MUC5AC in lung tissue. ECC-BYF III+ER had a greater effect in alleviating pulmonary pathology and inflammation. These effects may be mediated by inhibition of the EGFR/MAPK pathway.
Factors Associated With Symptoms of Anxiety and Depression in Children Who Stutter
Authors: Bernard Ria Frances Louisa , Norbury Courtenay Frazier 
Published: February 2023

Purpose:
Children and adolescents who stutter may be at risk of elevated anxiety and depression symptoms, although studies have indicated variability in reported internalizing symptoms in this population. This study considers the association between anxiety and depression symptoms and stuttering, as well as child, family, and contextual factors that may affect this association.

Method:
Thirty-five school-age children who stutter completed the Revised Children's Anxiety and Depression Scale–Short Version. We fitted regression models to examine the association between anxiety and depression symptoms with bullying, stuttering severity, family history of adverse mental health, and age in children who stutter.

Results:
Family history of adverse mental health was found to significantly predict anxiety and depression scores. Age also predicted depression scores, with older children reporting higher scores.

Conclusions:
Family history of adverse mental health is associated with higher self-reported internalizing symptoms in children who stutter. The interaction between child, family, and contextual factors may change with age, and this requires further exploration in larger, longitudinal studies. The association between bullying and anxiety scores indicates the importance of anti-bullying initiatives in promoting psychosocial development in school-age children who stutter. This study also highlights the contribution of known risk factors for mental health, such as family history, to variability in symptom reporting.
Speech-Language Pathologists' Endorsement of Speech, Language, and Literacy Myths Reveals Persistent Research–Practice Gap
Authors: McDaniel Jena , Krimm Hannah , Schuele C. Melanie 
Published: February 2023

Purpose:
We explore the extent to which speech-language pathologists (SLPs) are operating under assumptions about speech, language, and literacy that are not supported by evidence or are contradicted by evidence.

Method:

SLPs (
N
= 106) marked the degree to which they endorsed or rejected four true and 11 myth (i.e., false) statements on a visual analog scale via an online survey. We analyzed the degree to which participants agreed or disagreed with these statements related to speech, language, and literacy development and impairment.

Results:

Based on results of one-sample
t
tests, participants as a group correctly rejected seven myth statements and correctly endorsed three true statements. Participants as a group provided equivocal responses to the remaining four myth statements and one true statement. Scores for each statement spanned all or nearly all of the possible range. Even when participants overall showed relatively strong disagreement with a particular myth statement, at least a few participants endorsed the myth statement.

Conclusions:
The findings indicate areas of relative strength for SLPs' knowledge of current evidence for augmentative and alternative communication, bilingualism, and language input that supports language development. Identified areas of relative weakness include knowledge of the expected grammatical and speech production skills of children with typical development and the influence of ear infections in childhood on language impairment. Additional research is needed to evaluate efforts to enhance SLPs' knowledge and use of evidence-based practices.
A novel secure data outsourcing scheme based on data hiding and secret sharing for relational databases
Authors: Rahmani Peyman , Taheri Mohammad , Fakhrahmad Seyed Mostafa 
Published: February 2023

AbstractData encryption‐based and secret sharing‐based data outsourcing schemes protect the confidentiality of sensitive attributes but not their secrecy. Ciphertexts/shares generated by a data encryption/secret sharing scheme can attract the attention of interceptors. Thus, it is desired to hide the existence of highly‐sensitive attributes (as secret attributes) in the outsourced relations in addition to protecting their contents. This paper proposes a novel scheme that integrates data hiding with secret sharing for relational databases to protect both the secrecy and confidentiality of secret attributes. It embeds one or multiple secret attributes in a relation into one or multiple cover attributes in the same relation. A set of share (and possibly index) columns are constructed such that they are pretended to be associated with only the cover attributes, while those share columns and some virtual share columns can be used to recover both the secret and cover attributes. What interceptors observe in each relation include the attributes stored in plaintext and the share (and possibly index) columns associated with the cover attributes but not any extra column. Thus, they find nothing suspicious. This is the first effective data hiding scheme for relational databases that protects the secrecy of secret attributes.
Facial expression recognition based on regional adaptive correlation
Authors: Hao Meng , Yuan Fei , Li Jing , Sun Yuting 
Published: February 2023

AbstractTo address the problem that the features extracted by CNN‐based facial expression recognition (FER) do not consider structural information, a region adaptive correlation deep network (RACN) is proposed. The network consists of two branches. In one branch, the features obtained by applying CNN to facial sub‐blocks are used as the input of the proposed second‐order region correlation network (SRCN), which obtains structural features by adaptively learning the correlation of facial regions. Furthermore, they are fused with the parallel branch‐extracted global features to obtain a comprehensive high‐semantic feature representation. Finally, weights are assigned to the two features through the channel attention mechanism for more accurate expression classification. Experimental results show that our method can effectively extract expression features in an end‐to‐end manner, improve the accuracy of FER, and achieve competitive performance without relying on any a priori knowledge. And the region‐adaptive correlation feature extraction branch RACN can be applied to other deep learning networks to extract discriminative structural‐adaptive features. To the best of our knowledge, our work is the first to enrich the feature representation for end‐to‐end static FER by adaptively obtaining more discriminative regional adaptive correlation feature vectors via the autocorrelation matrix combined with CNN compared to the existing literature.
Influence of parameter changes on the operation characteristics of circuit breaker with oil dashpot at low temperature
Authors: Su Xiuping , Jia Yanqing , Shi Hongwei , Fu Zhe 
Published: February 2023

AbstractThe iron core in the circuit breaker of oil dashpot is mainly affected by the electromagnetic force, spring force and oil damping force, which can play the function of anti‐time protection when overload current is excited. At low temperature, the viscosity of the methyl silicone oil damping fluid will change, and the parameters of spring and iron core will also change with temperature. The change of these parameters will lead to the change of the resultant force on the iron core, which will affect the operation time. To analyze this problem, a correlation model is established. Through the measurement of parameters at low temperature, numerical calculation, electromagnetic analysis, simulation analysis and compared with the experimental results, the study found that the viscosity of the damping fluid increases, the iron core is deformed, and the spring stiffness increases at low temperature. The influence of a single factor on the operation characteristics of the tripper is not enough to reflect its overall characteristics, and the comprehensive effect of each factor needs to be considered. After comprehensively considering all factors, the results are closer to the experimental results. The results provide a theoretical basis for the optimization design of the circuit breaker.
A soft switched high step‐up DC‐DC converter based on VMC and coupled inductor for photovoltaic energy applications
Authors: Hashemzadeh Seyed Majid , Hosseini Seyed Hossein , Babaei Ebrahim , Sabahi Mehran 
Published: February 2023

AbstractIn this paper a new topology of non‐isolated high step‐up DC‐DC is proposed for renewable applications like photovoltaic (PV) power generation. This converter is designed based on coupled inductor and VMC techniques. The main benefits of the presented topology are: (1) Continues input current with low ripple, (2) low voltage stress across semiconductors, (3) soft switching of diodes (ZVS and ZCS), (4) high voltage gain with low duty cycle, (5) low volume and cost, and (6) high power efficiency. To obtain a high output voltage, the secondary side of the coupled inductor is integrated with VMC, resulting in a large voltage gain with low duty cycles and reduced conduction loss of power switches. Additionally, diodes' zero voltage switching (ZVS) and zero current switching (ZCS) improve the efficiency of the proposed converter. The used VMCs act as a voltage clamp, and the peak voltages across power switches are reduced. The presented converter's operational modes, steady‐state, and efficiency analysis are discussed. Additionally, to indicate the performance of the suggested structure, a 200 W prototype with Vin = 33 V and Vo = 403 V voltage conversion is built, and the experimental results are presented. The experimental efficiency at Po = 200 W is measured 95.29%. Also, efficiency is measured more than 95 % for Po = 20 W to 200 W.
Pitching Biomechanics and Shoulder Function in Baseball Pitchers with
Scapular Dyskinesis
Authors: Huang Tsun-Shun , Weng Yi-Hsuan , Chang Che-Chia , Tsai Yung-Shen , Lin Jiu-jenq 
Published: February 2023

AbstractThe primary purpose was to investigate the influence of scapular dyskinesis (SD)
on pitching biomechanics and shoulder function in high school baseball pitchers.
The secondary purpose was to identify possible factors associated with shoulder
function in pitchers with SD. Thirty-eight pitchers were classified into the SD
group (n=26) or the non-SD group (n=12). They were evaluated
with the Kerlan-Jobe Orthopaedic Clinic shoulder and elbow (KJOC) scale and
clinical measurements of shoulder characteristics, and with measurements of
scapular kinematics, muscle activation, and ball speed during fastball pitching.
Compared to the controls, the pitchers with SD had less scapular external
rotation (difference=11.3 degrees, ES=0.92, p=0.012)
during overall pitching and less upper trapezius (UT) activation during the late
cocking (difference=7.1%, ES=0.79, p=0.019) and
acceleration phases (difference=12.5%, ES=0.75,
p=0.035). Higher UT activation during the late cocking phase was
significantly associated with higher KJOC scores (standardized
β=0.415, p=0.039). In conclusion, deficits in scapular
external rotation and decreased UT activation during pitching were found in
pitchers with SD. Higher UT activation may be important for shoulder function in
pitchers with SD.
The association between Diastasis recti abdominis and pelvic floor
dysfunction, sacroiliac joint dysfunction, and quality of life among postpartum
women after Cesarean delivery
Authors: Saleh Enas Abu , Walton Lori , Said Sahar , Raigangar Veena , Kim Meeyoung 
Published: February 2023

Abstract
Purpose The goal of this study is to see if there's a predictive
relationship between diastasis rectus abdominis and pelvic floor dysfunction,
sacroiliac joint dysfunction, and postpartum women's health-related
quality of life.
Method This cross-sectional, correlative study focused on 32 postpartum
mothers aged 18 to 45 years old. Real Ultrasound Sonographic Imaging (RUSI) was
used to determine DRA. The Pelvic Floor Disability Index was used to assess
pelvic floor dysfunction (PFDI). The Active Straight Leg Raise Test (ASLR), the
Long Dorsal Sacral Ligament Test (LDL), and the Posterior Pelvic Provocation
Test (P4) were also investigated. The Short Form-12 (SF-12) Survey was used to
assess health-related quality of life (HRQoL).
Results A negative correlation between DRA and postpartum period was
recorded (ρ=0.0001). The following categories showed a
significant positive correlation between DRA and Pelvic floor dysfunction:
Pelvic Organ Prolapse Distress Inventory-6 (POPDI-6) corelated positively with
DRA (ρ =0.01); Colorectal-Anal Distress Inventory-8 (CRAD-8)
(ρ =0.02); Urinary Distress Inventory-6 (UDI-6) (ρ
=0.00). There was no correlation between DRA and sacroiliac joint
dysfunction (ρ =0.8).
Conclusion DRA was discovered to be a strong predictor of pelvic floor
dysfunction, such as prolapse, colorectal-anal dysfunction, and urine distress.
There was no evidence of a link between DRA and sacroiliac joint dysfunction or
HRQoL.