bluuebunny/crossref_metadata_2025_split huggingface dataset:
Risk factors of incomplete healing following medial meniscus posterior root tear repair with gracilis tendon
Authors: Liao Xingen , Li Hongbo , Nie Si , Lan Min 
Published: December 2023

AbstractTo evaluate the clinical efficacy and meniscus healing rates of the arthroscopically assisted tendon graft fixation of the medial meniscus posterior root tears (MMPRTs), and to identify some independent risk factors correlated with meniscal root healing status. We conducted a retrospective study with 129 patients who received arthroscopically assisted tendon graft fixation of the MMPRTs between January 2018 and September 2021. Functional recovery of the knee was evaluated and meniscal root healing status was assessed. The associations between different clinical factors and meniscal root healing status were analyzed. 98 (76.0%) patients had complete meniscal root healing with a minimum 2-year follow-up, and the Lysholm score, international knee documentation committee score, and visual analogue scale score were significantly improved at final follow-up (P < 0.001; respectively). Binary logistic regression models analysis and the receiver operating characteristic curve was performed to detect independent risk factors for incomplete healing, and these results indicated that age (OR = 1.095, P = 0.039), body mass index (BMI) (OR = 1.259, P = 0.018), preoperative meniscus extrusion (OR = 5.181, P < 0.001) and varus degree (OR = 7.764, P < 0.001) were the independent risk factors correlated with incomplete healing in patients with repaired MMPRTs. In conclusion, the arthroscopically assisted tendon graft fixation of the MMPRTs can provide good clinical and radiological outcome. Additionally, we identified age > 37.5 years, BMI > 24.5 kg/m2, preoperative meniscus extrusion > 2.7 mm and varus degree > 3.3° as independent risk factors correlated with incomplete meniscus root healing status.
Protein N-myristoylation plays a critical role in the mitochondrial localization of human mitochondrial complex I accessory subunit NDUFB7
Authors: Harada Haruna , Moriya Koko , Kobuchi Hirotsugu , Ishihara Naotada , Utsumi Toshihiko 
Published: December 2023

AbstractThe present study examined human N-myristoylated proteins that specifically localize to mitochondria among the 1,705 human genes listed in MitoProteome, a mitochondrial protein database. We herein employed a strategy utilizing cellular metabolic labeling with a bioorthogonal myristic acid analog in transfected COS-1 cells established in our previous studies. Four proteins, DMAC1, HCCS, NDUFB7, and PLGRKT, were identified as N-myristoylated proteins that specifically localize to mitochondria. Among these proteins, DMAC1 and NDUFB7 play critical roles in the assembly of complex I of the mitochondrial respiratory chain. DMAC1 functions as an assembly factor, and NDUFB7 is an accessory subunit of complex I. An analysis of the intracellular localization of non-myristoylatable G2A mutants revealed that protein N-myristoylation occurring on NDUFB7 was important for the mitochondrial localization of this protein. Furthermore, an analysis of the role of the CHCH domain in NDUFB7 using Cys to Ser mutants revealed that it was essential for the mitochondrial localization of NDUFB7. Therefore, the present results showed that NDUFB7, a vital component of human mitochondrial complex I, was N-myristoylated, and protein N-myrisotylation and the CHCH domain were both indispensable for the specific targeting and localization of NDUFB7 to mitochondria.
StackER: a novel SMILES-based stacked approach for the accelerated and efficient discovery of ERα and ERβ antagonists
Authors: Schaduangrat Nalini , Homdee Nutta , Shoombuatong Watshara 
Published: December 2023

AbstractThe role of estrogen receptors (ERs) in breast cancer is of great importance in both clinical practice and scientific exploration. However, around 15–30% of those affected do not see benefits from the usual treatments owing to the innate resistance mechanisms, while 30–40% will gain resistance through treatments. In order to address this problem and facilitate community-wide efforts, machine learning (ML)-based approaches are considered one of the most cost-effective and large-scale identification methods. Herein, we propose a new SMILES-based stacked approach, termed StackER, for the accelerated and efficient identification of ERα and ERβ inhibitors. In StackER, we first established an up-to-date dataset consisting of 1,996 and 1,207 compounds for ERα and ERβ, respectively. Using the up-to-date dataset, StackER explored a wide range of different SMILES-based feature descriptors and ML algorithms in order to generate probabilistic features (PFs). Finally, the selected PFs derived from the two-step feature selection strategy were used for the development of an efficient stacked model. Both cross-validation and independent tests showed that StackER surpassed several conventional ML classifiers and the existing method in precisely predicting ERα and ERβ inhibitors. Remarkably, StackER achieved MCC values of 0.829–0.847 and 0.712–0.786 in terms of the cross-validation and independent tests, respectively, which were 5.92–8.29 and 1.59–3.45% higher than the existing method. In addition, StackER was applied to determine useful features for being ERα and ERβ inhibitors and identify FDA-approved drugs as potential ERα inhibitors in efforts to facilitate drug repurposing. This innovative stacked method is anticipated to facilitate community-wide efforts in efficiently narrowing down ER inhibitor screening.
Examining the impact of perceived psychological distances of quitting and continuing tobacco smoking on antismoking intention: a cross-sectional study
Authors: File Domonkos , Bőthe Beáta , Demetrovics Zsolt 
Published: December 2023

AbstractTo date, little research has been conducted to understand the role of psychological distances on smoking behaviour. Construal Level Theory posits that individuals mentally construe events, objects, or ideas based on their perceived distance in terms of spatial, temporal, social, and hypothetical dimensions, influencing their judgments and decision-making processes. The aim of the current study was (1) to provide a comprehensive exploration of psychological distances of costs and benefits of tobacco smoking and antismoking intention and (2) to examine whether smoking can be attributed to rational behaviour based on the psychological distance weighted balance of perceived costs and benefits of quitting and continuing smoking. Mediation models delineating the relationships among temporal and hypothetical psychological distances, personal relevance and antismoking intention were tested on cross-sectional survey data of 1486 smokers (880 men, Mage = 39.9 years, SD = 13.36). Psychological distances were shown to be important factors in the cognitive evaluation process of smoking behaviour. Perceived temporal distance to smoking continuation/cessation was related to personal importance and hypothetical psychological distances, which were associated with anti-smoking intention. Furthermore, antismoking intention was related to the psychological distance-weighted gain-cost balance of quitting and continuing smoking. The current findings enhance our knowledge of the cognitive evaluation of the outcomes of smoking, indicating that the choice of not quitting smoking may be partially based on a biased rational decision-making process.
Using mice from different breeding sites fails to improve replicability of results from single-laboratory studies
Authors: Jaric Ivana , Voelkl Bernhard , Amrein Irmgard , Wolfer David P. , Novak Janja , Detotto Carlotta , Weber-Stadlbauer Ulrike , Meyer Urs , Manuella Francesca , Mansuy Isabelle M. , Würbel Hanno 
Published: December 2023

AbstractTheoretical and empirical evidence indicates that low external validity due to rigorous standardization of study populations is a cause of poor replicability in animal research. Here we report a multi-laboratory study aimed at investigating whether heterogenization of study populations by using animals from different breeding sites increases the replicability of results from single-laboratory studies. We used male C57BL/6J mice from six different breeding sites to test a standardized against a heterogenized (HET) study design in six independent replicate test laboratories. For the standardized design, each laboratory ordered mice from a single breeding site (each laboratory from a different one), while for the HET design, each laboratory ordered proportionate numbers of mice from the five remaining breeding sites. To test our hypothesis, we assessed 14 outcome variables, including body weight, behavioral measures obtained from a single session on an elevated plus maze, and clinical blood parameters. Both breeding site and test laboratory affected variation in outcome variables, but the effect of test laboratory was more pronounced for most outcome variables. Moreover, heterogenization of study populations by breeding site (HET) did not reduce variation in outcome variables between test laboratories, which was most likely due to the fact that breeding site had only little effect on variation in outcome variables, thereby limiting the scope for HET to reduce between-lab variation. We conclude that heterogenization of study populations by breeding site has limited capacity for improving the replicability of results from single-laboratory animal studies.
Reduced corrosion of Zn alloy by HA nanorods for enhancing early bone regeneration
Authors: Mao Mengting , Chen Jun , Liu Fuwei , Kong Liang , Han Yong , Zhang Lan 
Published: December 2023

HA nanorods reduce Zn2+ releasing from Zn alloy, significantly enhancing the response of osteoblasts and endothelial cells in vitro and early osteointegration in vivo.
Ponzi scheme detection in smart contracts using the integration of deep learning and formal verification
Authors: Chen Shibao , Li Fei 
Published: December 2023

AbstractBlockchain smart contracts are codes that can execute and enforce rules for blockchain digital transactions. However, smart contracts may contain numerous subtle vulnerabilities, among which Ponzi vulnerabilities are notable. Existing Ponzi scheme contract detection approaches often rely on machine learning models trained on manually extracted features to achieve satisfactory classification results. Nonetheless, the code of a smart contract potentially harbours elusive semantics and characteristics, which compromises the precision and accuracy of vulnerability detection. Therefore, this paper proposes a method of converting operation codes into sequences to process data to avoid losing unnecessary important information, and uses a one‐dimensional convolutional neural network combined with formal verification. This method is named PZ‐C1DZ3(Ponzi‐Conv1D‐Z3) and is used for Ponzi scheme detection. Four types of machine learning models, namely Conv1D, Conv1D‐LSTM, Conv1D‐MLP, and Conv1D‐transformer, are employed for improvement and comparative validation experiments. Additionally, formal verification tool Z3 solver is utilized to conduct formal security verification on the final model, ensuring its safety. Experimental results demonstrate that the improved Conv1D model outperforms other existing models in terms of detection efficiency and accuracy while also meeting the requirements of formal security verification.
A computation offloading method with distributed double deep Q‐network for connected vehicle platooning with vehicle‐to‐infrastructure communications
Authors: Shi Yanjun , Chu Jinlong , Sun Xueyan , Ning Shiduo 
Published: December 2023

AbstractCurrent connected vehicle applications, such as platooning require heavy‐load computing capability. Although mobile edge computing (MEC) servers connected to the roadside intelligence facility can assist such separable applications from vehicles, it is a challenge to coordinate the allocation of subtasks among vehicles and MEC servers on the premise of ensuring communication quality. Therefore, an offloading algorithm is proposed based on a double deep Q‐network to solve the placement of subtasks for vehicle to infrastructure and vehicle to vehicle cases. This algorithm considers the randomness of task generation and is model‐free. The MEC server can assist the vehicle in training the neural network and storing relevant state transitions. To improve the performance of the algorithm, the decaying greedy policy is incorporated for faster convergence. The simulation results showed that this algorithm performed well in reducing the dropped subtask rate, average time delay, and total energy consumption.
Multiple decomposition‐aided long short‐term memory network for enhanced short‐term wind power forecasting
Authors: Balci Mehmet , Dokur Emrah , Yuzgec Ugur , Erdogan Nuh 
Published: December 2023

AbstractWith the increasing penetration of grid‐scale wind energy systems, accurate wind power forecasting is critical to optimizing their integration into the power system, ensuring operational reliability, and enabling efficient system asset utilization. Addressing this challenge, this study proposes a novel forecasting model that combines the long‐short‐term memory (LSTM) neural network with two signal decomposition techniques. The EMD technique effectively extracts stable, stationary, and regular patterns from the original wind power signal, while the VMD technique tackles the most challenging high‐frequency component. A deep learning‐based forecasting model, i.e. the LSTM neural network, is used to take advantage of its ability to learn from longer sequences of data and its robustness to noise and outliers. The developed model is evaluated against LSTM models employing various decomposition methods using real wind power data from three distinct offshore wind farms. It is shown that the two‐stage decomposition significantly enhances forecasting accuracy, with the proposed model achieving values up to 9.5% higher than those obtained using standard LSTM models.
Radiosurgery as a Stand-Alone Treatment Option for Cerebral Dural Arteriovenous Fistulas: The Vienna Series
Authors: Kranawetter Beate , Cho Anna , Hirschmann Dorian , Göbl Philipp , Dorfer Christian , Rössler Karl , Dodier Philippe , Wang Wei-Te , Gatterbauer Brigitte , Gruber Andreas , Kitz Klaus , Frischer Josa M. 
Published: December 2023

Abstract
Background Gamma Knife radiosurgery (GKRS) has been demonstrated to be an effective and safe treatment method for dural arteriovenous fistulas (DAVFs). However, only few studies, mostly with limited patient numbers, have evaluated radiosurgery as a sole and upfront treatment option for DAVFs.
Methods Thirty-three DAVF patients treated with GKRS as a stand-alone management at our institution between January 1992 and January 2020 were included in this study. Obliteration rates, time to obliteration, neurologic outcome, and complications were evaluated retrospectively.
Results Complete overall obliteration was achieved in 20/28 (71%) patients. The postradiosurgery actuarial rates of obliteration at 2, 5, and 10 years were 53, 71, and 85%, respectively. No difference in time to obliteration between carotid–cavernous fistulas (CCFs; 14/28, 50%, 17 months; 95% confidence interval [CI]: 7.4–27.2) and non-CCFs (NCCFs; 14/28, 50%, 37 months; 95% CI: 34.7–38.5; p = 0.111) were found. Overall, the neurologic outcome in our series was highly favorable at the time of the last follow-up. A complete resolution of symptoms was seen in two-thirds (20/30, 67%) of patients. One patient with multiple DAVFs suffered from an intracranial hemorrhage of the untreated lesion and died during the follow-up period, resulting in a yearly bleeding risk of 0.5%. No complications after radiosurgery were observed in our series.
Conclusion Our results show that GKRS is a safe and effective stand-alone management option for selected DAVF patients.
Secondary Forehead Lift in Transgender Women
Authors: Patrocinio Lucas G. , Patrocinio Jose A. 
Published: December 2023

AbstractFacial feminization surgery includes a series of procedures that aim to attenuate the masculine features of the face and make the face more feminine and harmonic. During the past few years, several feminization techniques have been developed or adapted to this discipline. The current intervention of the forehead for feminization is based on the setback of the anterior wall of the frontal sinus and the remodeling of the supraorbital and glabellar region, associated to brow lift and hairline advancement. Primary forehead feminization yields high patient satisfaction, quality of life, and aesthetic outcomes, with few complications. Despite this, secondary forehead lift in feminization surgery has grown rapidly in recent years due to two main reasons: (1) patients that had their primary forehead surgery 5 or more years ago kept aging; and (2) there was also a great increase in the primary surgeries, which also comes with increased unsatisfied patients that want a revision. In the present study, we will present our current approach for secondary forehead lift in transgender women and tips to avoid a revision when performing the primary forehead reconstruction.
Risk Factors for Development of Diabetes Insipidus and Syndrome of Inappropriate Antidiuretic Hormone Secretion after Transsphenoidal Resection of Pituitary Adenoma
Authors: Petito Gabrielle , Hu Alex , Zhang Grace , Min Susie , Tripathi Siddhant H. , Kumar Adithya , Shukla Geet , Shah Sanjit , Phillips Katie M. , Jana Suman , Forbes Jonathan A. , Zuccarello Mario , Andaluz Norberto O. , Sedaghat Ahmad R. 
Published: December 2023

Abstract
Background We aimed to determine the incidence and risk factors for development of diabetes insipidus (DI) and syndrome of inappropriate antidiuretic hormone secretion (SIADH) after transsphenoidal hypophysectomy (TSH) for resection of a pituitary adenoma.
Methods This was a retrospective study of 403 adult patients undergoing TSH for pituitary adenoma. Clinical variables, tumor characteristics, and operative factors were collected. Incidences of DI and SIADH were determined, including timing in the perioperative period. Independent predictors of developing DI and SIADH were identified using multivariable logistic regression.
Results Following TSH, 21.3% of patients developed DI at a mean 2.6 days and 7.4% developed SIADH at a mean 4.7 days. DI was negatively associated with older age (odds ratio [OR] = 0.98, 95% confidence interval [CI]: 0.96–0.99, p = 0.029). DI was positively associated with female sex (OR = 2.26, 95% CI: 1.24–4.11, p = 0.008), increase in anteroposterior tumor size (OR = 1.54, 95% CI: 1.11–2.13, p = 0.010), intraoperative cerebrospinal fluid (CSF) leak (OR = 2.29, 95% CI: 1.25–4.19, p = 0.008), and every 100 mL of estimated blood loss (EBL) (OR = 1.18, 95% CI: 1.01–1.39, p = 0.046). Development of SIADH was positively associated with intraoperative CSF leak (OR = 3.56, 95% CI: 1.24–10.21, p = 0.018) on multivariate analysis.
Conclusion DI and SIADH occur in the minority of patients undergoing TSH, but vigilance for their development must be maintained for days after the surgery. Development of DI after TSH is multifactorial, having possible patient-specific risk factors and risk related to the complexity of surgical dissection, reflected by tumor size, intraoperative CSF leak, and EBL. Development of SIADH could be associated with intraoperative CSF leak occurrence.
Platelet-Derived TGF-β1 Promotes Deep Vein Thrombosis
Authors: Zhang Sixuan , Li Yingying , Zhang Jie , Sun Yueyue , Chu Xiang , Gui Xiang , Tong Huan , Ding Yangyang , Ju Wen , Xu Mengdi , Li Zhenyu , Zeng Lingyu , Xu Kailin , Qiao Jianlin 
Published: December 2023

Background Transforming growth factor-β1 (TGF-β1) modulates multiple cellular functions during development and tissue homeostasis. A large amount of TGF-β1 is stored in platelet α-granules and released upon platelet activation. Whether platelet-derived TGF-β1 plays a role in venous thrombosis remains unclear. This study intends to assess the role of platelet-derived TGF-β1 in the development of venous thrombosis in mice.
Material and Methods TGF-β1flox/flox and platelet-specific TGF-β1−/− mice were utilized to assess platelet function in vitro, arterial thrombosis induced by FeCl3, tail bleeding time, prothrombin time (PT), activated partial thromboplastin time (APTT), and deep vein thrombosis induced through ligation of the inferior vena cava (IVC). The IVC sample was collected to measure accumulation of neutrophils, monocytes, and the formation of neutrophil extracellular traps (NETs) by immunofluorescence staining.
Results TGF-β1 deficiency in platelets did not affect the number of circulating platelets, platelet aggregation, adenosine triphosphate release, and integrin αIIbβ3 activation. Meanwhile, TGF-β1 deficiency did not alter the arterial thrombus formation, hemostasis, and coagulation time (PT and APTT), but significantly impaired venous thrombus formation, inhibited the recruitment and accumulation of neutrophils and monocytes in thrombi, as well as reduced formation of NETs and platelet-neutrophil complex. In addition, adoptive transfer of TGF-β1flox/flox platelets to TGF-β1−/− mice rescued the impaired venous thrombus formation, recruitment of leukocytes and monocytes, as well as the NETs formation.
Conclusion In conclusion, platelet-derived TGF-β1 positively modulates venous thrombus formation in mice, indicating that targeting TGF-β1 might be a novel approach for treating venous thrombosis without increasing the risk of bleeding.
Fluoride Concentration, Antibacterial Effect, and Cytotoxicity in Children's Toothpaste: In Vitro Study
Authors: Thongthai Pasiree , Sivavong Pimduean , Osathanon Thanaphum , Tantilertanant Yanee , Sakoolnamarka Rangsima , Singthong Thawanrat , Uttasen Sirirat , Boonsuth Budsaraporn , Monmaturapoj Naruporn , Nantanapiboon Dusit 
Published: December 2023

Abstract
Objectives The aim of this study is to evaluate the effect on cell viability, antibacterial activity against cariogenic bacteria, and total fluoride availability of commercially available children's toothpastes in Thailand.
Materials and Methods Seven toothpaste slurries were prepared from seven commercial toothpastes for children. Total fluoride concentration was determined. The agar diffusion method was used to examine the antibacterial effect of toothpaste against Streptococcus mutans. The viability of L929 mouse fibroblasts exposed with different concentrations of each toothpaste slurry was tested by MTT (3-[4,5-dimethylthiazol-2-yl]-2,5 diphenyl tetrazolium bromide) assay.
Statistical Analysis One way analysis of variance (ANOVA) and Tukey's honestly significant difference (HSD) tests were used for zone inhibition analysis. Cell viability data were analyzed using Student's t-test.
Results Fluoride concentration in fluoride-containing toothpastes ranged from 521.36 to 1,377.83 ppm. Two toothpastes exhibited a similar level of fluoride concentration compared between the product labels. Other toothpastes showed a difference or slight difference in fluoride concentration between the companies' information and our data. The zone of inhibition ranged from 0 to 2.08 cm. A significantly higher zone of inhibition was observed in toothpastes with sodium lauryl sulfate. The concentration of toothpaste that reduced cell viability to less than 50% of the control was 0.8, 3.1, 6.3, 6.3, 25, and 100% for Fluocaril Deli Fruity, Oral-B Junior 6 + , Kodomo Kids, CUdent Stevia, SunStar GUM, and Kindee Organic, respectively.
Conclusion The examined children's toothpastes can inhibit the growth of S. mutans, which did not correlate with fluoride concentration. The antibacterial effects could be the results of other ingredients, for example, sodium lauryl sulfate.