bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Frequency of Temporomandibular Disorders, Surgical Complications, and Self-Reported Mental Health Problems in Orthognathic Patients
Authors: Melaluoto Eeva , Hjerppe Jenni , Stoor Patricia , Palotie Tuula 
Published: March 2022

Objective:
To evaluate the frequency of signs and symptoms of temporomandibular disorders (TMD), surgical complications, and patient’s self-reported mental health problems during orthognathic treatment.

Material and Methods:
The clinical records of 145 patients treated with orthognathic treatment were retrospectively studied. Variables regarding occlusal parameters, treatment duration, TMD symptoms, complications, and self-reported mental health status at time points of T0 (beginning of the treatment), T1 (before surgery), and T2 (final examination) were evaluated. The variables were statistically compared with significance level of P < 0.05.

Results:
A total of 51% (n = 74) of the patients had TMD symptoms at 1 or several time points, women having significantly more TMD signs and symptoms (P = 0.002). Temporomandibular disorder signs and symptoms decreased significantly after orthognathic treatment (P<0.001). At least 1 self-reported mental health-related factor during 1 or several time points (T0-T2) was recorded in 17.2% (n = 25) of the patients. There was no significant difference in frequency of self-reported mental health problems in patients with TMD signs and symptoms compared with patients without TMD signs and symptoms (P > 0.05). The frequency of postoperative complications was 39.3%, being significantly higher after Bilateral Sagittal Split Osteothomy (BSSO, 48.7%). There was no difference in treatment duration of patients with self-reported mental health problems compared with patients without (P> 0.05).

Conclusions:
In this study population, TMD signs and symptoms seem to be typical both in patients with or without self-reported mental health problems. Women had significantly more TMD symptoms. Orthognathic surgery treatment seems to have a positive effect on TMD signs and symptoms.
A 20-Year Analysis of Global Authorship Trends in Craniofacial Literature: Is the United States Falling Behind?
Authors: Wang Fei , Cheng Tiffany , Rothchild Evan , Ricci Joseph A. 
Published: March 2022

Introduction:
Recent advances in craniofacial surgery have occurred in conjunction with a global proliferation of research. Although previous studies have examined geographic publication trends, little is known about these trends in the craniofacial literature.

Methods:
All craniofacial articles published from 2000 to 2020 in 3 premier craniofacial surgery journals were evaluated in 5-year increments. Geographic origin, manuscript type, and authorship characteristics were collected. Changes in publication output, geographic origin, and content were analyzed.

Results:
In total 3864 articles were analyzed, with the United States (U.S.) (33.46%) accounting for the majority, followed by Asia (27.04%), the Middle East (16.23%), and Europe (14.65%). The proportion of articles from the U.S. decreased significantly in the in the 20-year span (48.28% versus 33.53%, P < 0.001), whereas those originating from Asia and the Middle East increased significantly (18.62% versus 31.41% and 10.34% versus 15.66%, respectively, P < 0.001). After stratifying and selecting for regions with the greatest changes in publication output, the authors observed significant trends for the number of original investigations from 2000 to 2020 in the U.S. (Odds Ratio [OR] 1 versus 2.4, P < 0.001) and in Asia (OR 1 versus 1.8, P = 0.0052). Additionally, a significant trend in editorial/correspondence publications originating in the U.S. (OR 1 versus 0.74, P = 0.0102), Europe (OR 1 versus 0.38, P = 0.0186), and Asia (OR 1 versus 0.48, P = 0.0051) was observed.

Conclusions:
Despite rising craniofacial publications over the past 2 decades, there has been a diminishing proportion originating from the U.S.
Bilateral Reappearance of the N20 Potential in a Normothermic Young Woman Post-Anoxic Brain Injury
Authors: Nawfal Omar , El Halabi Tarek , Dib Georgette , Dirani Maya , Beydoun Ahmad 
Published: March 2022

Summary:
Hypoxic–ischemic brain injury is a well-known consequence of cardiac arrest and providing an accurate prognostication remains a challenge, especially in decisions related to withdrawal of care. Bilateral absence of the cortical response (N20 potential) on median somatosensory evoked potentials, on days 1 to 3 after the return of spontaneous circulation, is widely considered as the most reliable predictor of poor outcome with a high specificity and a low false-positive rate. The authors describe the case of a young comatose woman after hypoxic injury because of cardiac arrest whose initial median somatosensory evoked potentials revealed bilateral absence of the N20 response associated with evidence of selective injury to both perirolandic cortices and basal ganglia on brain MRI. This patient made a substantial recovery associated with bilateral reappearance of the N20 potential and resolution of the neuroimaging abnormalities.This case revealed that an acute selective and reversible hypoxic injury to both perirolandic cortices may lead to a temporary loss of the N20 responses and an inaccurate prediction of poor outcome after cardiac arrest. It emphasizes on the importance of adopting a multimodal approach in the prognostic assessment of survivors of cardiac arrest.
Neuronal-spiking-based closed-loop stimulation during cortical ON and OFF states in freely moving mice
Authors: Kahn Martin , Krone Lukas B. , Blanco-Duque Cristina , Guillaumin Mathilde C.C. , Mann Edward O. , Vyazovskiy Vladyslav V. 
Published: March 2022

AbstractThe slow oscillation (SO) is a central neuronal dynamic during sleep and is generated by alternating periods of high and low neuronal activity (ON and OFF states). Mounting evidence causally links the SO to sleep’s functions, and it has recently become possible to manipulate the SO non-invasively and phase-specifically. These developments represent promising clinical avenues, but they also highlight the importance of improving our understanding of how ON/OFF states affect incoming stimuli and what role they play in neuronal plasticity. Most studies using closed-loop stimulation rely on the electroencephalogram (EEG) and local field potential (LFP) signals, which reflect neuronal ON and OFF states only indirectly. Here we develop an online detection algorithm based on spiking activity recorded from laminar arrays in mouse motor cortex. We find that online detection of ON and OFF states reflects specific phases of spontaneous LFP SO. Our neuronal-spiking-based closed-loop procedure offers a novel opportunity for testing the functional role of SO in sleep-related restorative processes and neural plasticity.
Unbiased proteomic analysis detects painful systemic inflammatory profile in the serum of nerve injured mice
Authors: Zhou Wen Bo Sam , Shi Xiang Qun , Liu Younan , Tran Simon D. , Beaudry Francis , Zhang Ji 
Published: March 2022

AbstractNeuropathic pain is a complex, debilitating disease that results from injury to the somatosensory nervous system. The presence of systemic chronic inflammation has been observed in chronic pain patients, but whether it plays a causative role remains unclear. This study aims to determine the perturbation of systemic homeostasis by an injury to peripheral nerve and its involvement in neuropathic pain. We assessed the proteomic profile in the serum of mice at 1-day and 1-month following partial sciatic nerve injury (PSNL) or sham surgery. We also assessed mouse mechanical and cold sensitivity in naïve mice after receiving intravenous administration of serum from PSNL or sham mice. Mass spectrometry-based proteomic analysis revealed that PSNL resulted in a long-lasting alteration of serum proteome, where the majority of differentially expressed proteins were in inflammation related pathways, involving cytokines/chemokines, autoantibodies and complement factors. While transferring sham serum to naïve mice did not change their pain sensitivity, PSNL serum significantly lowered mechanical thresholds and induced cold hypersensitivity in naïve mice. With broad anti-inflammatory properties, bone marrow cell extracts (BMCE) not only partially restored serum proteomic homeostasis, but also significantly ameliorated PSNL-induced mechanical allodynia, and serum from BMCE-treated PSNL mice no longer induced hypersensitivity in naïve mice. These findings clearly demonstrate that nerve injury has a long-lasting impact on systemic homeostasis, and nerve injury associated systemic inflammation contributes to the development of neuropathic pain.
A microfluidics-assisted methodology for label-free isolation of CTCs with downstream methylation analysis of cfDNA in lung cancer
Authors: Carvalho Ângela , Guimarães-Teixeira Catarina , Constâncio Vera , Fernandes Mariana , Macedo-Silva Catarina , Henrique Rui , Monteiro Fernando Jorge , Jerónimo Carmen 
Published: March 2022

ABSTRACTLung cancer (LC) is a major cause of mortality. Late diagnosis, associated with limitations in tissue biopsies for adequate tumor characterization contribute to limited survival of lung cancer patients. Liquid biopsies have been introduced to improve tumor characterization through the analysis of biomarkers, including circulating tumour cells (CTCs) and cell-free DNA (cfDNA). Considering their availability in blood, several enrichment strategies have been developed to augment circulating biomarkers for improving diagnostic, prognostic and treatment efficacy assessment; often, however, only one biomarker is tested. In this work we developed and implemented a microfluidic chip for label-free enrichment of CTCs with a methodology for subsequent cfDNA analysis from the same cryopreserved sample. CTCs were successfully isolated in 38 of 42 LC patients with the microfluidic chip. CTCs frequency was significantly higher in LC patients with advanced disease. A cut-off of 1 CTC/mL was established for diagnosis (sensitivity=76.19%, specificity=100%) and in patients with late-stage lung cancer, the presence of ≥ 5 CTCs/mL was significantly associated with shorter overall survival. MIR129-2me and ADCY4me panel of cfDNA methylation performed well for LC detection, whereas MIR129-2me combined with HOXA11me allowed for patient risk stratification. Analysis of combinations of biomarkers enabled the definition of panels for LC diagnosis and prognosis. Overall, this study demonstrates that multimodal analysis of tumour biomarkers via microfluidic devices may significantly improve LC characterization in cryopreserved samples, constituting a reliable source for continuous disease monitoring.
Chronic methamphetamine administration produces cognitive deficits through augmentation of GABAergic synaptic transmission in the prefrontal cortex
Authors: Armenta-Resendiz Monserrat , Assali Ahlem , Tsvetkov Evgeny , Cowan Christopher W. , Lavin Antonieta 
Published: March 2022

AbstractBACKGROUNDChronic methamphetamine (METH) abuse is associated with the emergence of cognitive deficits and hypofrontality, a pathophysiological marker of many neuropsychiatric disorders that is produced by altered balance of local excitatory and inhibitory synaptic transmission. However, there is a dearth of information regarding the cellular and synaptic mechanisms underlying METH-induced cognitive deficits and associated hypofrontal states.METHODSRats went through a METH sensitization regime or saline (SAL) consisting of 14 days of METH treatment (day 1 and 14, 1 mg/kg; days 2-13, 5 mg /kg) followed by 7-10 days of home cage abstinence. Temporal Order Memory and Working Memory tests, chemogenetic experiments as well as whole-cell patch recordings on prelimbic PFC ex vivo slices were performed during abstinence.RESULTSWe find here that repeated METH administration in rats produces deficits in working memory and increases in inhibitory synaptic transmission onto pyramidal neurons in the prefrontal cortex (PFC). The increased PFC inhibition is detected by an increase in spontaneous and evoked inhibitory postsynaptic synaptic currents (IPSCs), an increase in GABAergic presynaptic function, and a shift in the excitatory-inhibitory balance onto PFC deep-layer pyramidal neurons. We find that pharmacological blockade of D1 dopamine receptor function reduces the METH-induced augmentation of IPSCs, suggesting a critical role for D1 dopamine signaling in METH-induced hypofrontality. In addition, chronic METH administration increases the intrinsic excitability of parvalbumin-positive interneurons, a key local interneuron population in PFC that controls inhibitory tone. Using a cell type-specific chemogenetic approach, we show that increasing PV+FSI activity in the PFC is necessary and sufficient to cause deficits in temporal order memory similar to those induced by METH.CONCLUSIONTogether, our findings reveal that chronic METH exposure increases PFC inhibitory tone through a D1 dopamine signaling-dependent potentiation of inhibitory synaptic transmission, and that reduction of PV+FSI activity can rescue METH-induced cognitive deficits, suggesting a potential therapeutic approach to treating cognitive symptoms in patients suffering from methamphetamine use disorder.
Fertilizer reduction with bio-organic fertilizer to regulate the root soil microbial community structure to improve Baby Chinese cabbage yield
Authors: Jin Li , Jin Ning , Wang Shuya , Li Jinwu , Meng Xin , Xie Yandong , Wu Yue , Luo Shilei , Lyu Jian , Yu Jihua 
Published: March 2022

AbstractUsing high-throughput sequencing, this study aimed to explore the response of soil microbial community and Baby Chinese cabbage yield to the reduction of chemical fertilizers combined with bio-organic fertilizer in the Gansu plateau, China. Our experiments consisted of conventional fertilizer (CK), 30% chemical fertilizer reduction + 6,000 kg bio-organic fertilizer (T1), 30% chemical fertilizer reduction + 9,000 kg bio-organic fertilizer (T2), 40% chemical fertilizer reduction + 6,000 kg bio-organic fertilizer (T3), and 40% chemical fertilizer reduction + 9,000 kg bio-organic fertilizer (T4). Compared with CK, soil microbial diversity and richness were higher for all treatments with added bio-organic fertilizer. PCoA showed that the bacterial and fungal communities in T2 and T4 were similar to each other. Redundancy and Spearman’s correlation analyses of microbial communities and soil physicochemical properties revealed that reductions in chemical fertilizer rate combined with bio-organic fertilizer had a stronger impact on the fungal than the bacterial community. They also increased the relative abundance of the dominant bacterial and fungal phyla. Baby Chinese cabbage yield was relatively higher under the combined bio-organic fertilizer plus reduced chemical fertilizer rate with T2 showing the highest yield. Therefore, this approach is feasible for sustainable agricultural, cost-effective and profitable crop production.ImportanceBio-organic + moderately reduced chemical fertilizer raised Chinese cabbage yieldBio-organic + chemical fertilizer was more efficacious than either one alonePresence of bio-organic fertilizer enhanced overall rhizosphere physicochemistryBio-organic fertilizer improved beneficial bacterial & fungal abundance & diversityFertilizer combination sustainably & cost-effectively improves crop & soil quality
When Diagnosis Is Made By Playing “Shuffled Cards”: A Non-Invasive, Real-Time, Adaptive Method to Functionally Evaluate Coronary Artery Based on Coronary Angiography
Authors: Dai Yanan , Zhu Pengxiong , Xue Bangde , Ling Yun , Shi Xibao , Geng Liang , Xie Yunhao , Zhang Qi , Liu Jun 
Published: March 2022

AbstractAimsThe great value concealed in the sequence of coronary angiography frames is not discovered in the world. We discovered and demonstrated the “Sequence Value” concealed in the coronary angiography and proposed DZL (Disarranged Zone Learning) to realize the sequence value in functional evaluation of coronary artery disease. Furthermore, we automated the DZL using a deep learning model to release huge medical resources.Methods and ResultsWe gave a novel definition of TIMI flow grade using the term temporal and spatial coupling tightness (TSCT) of the antegrade contrast agent. We used the TSCT to model the myocardial ischemia in a functional perspective and used the PCI conduction after CAG as the outcome event of myocardial ischemia. We proposed a novel method (Disarranged Zone Learning) to measure TSCT and we designed an experiment to validate its effectiveness. We further automated the novel method using an unsupervised deep learning model. The prediction accuracy of the model was applied as a proxy of myocardial ischemia. We further proposed Difference DZL to quantify the functional capability of any specific vessel segment. DZL overall AUC reaches 0.92. DZL automation reveals an AUC of 0.84 (95%CI, 0.81-0.87).ConclusionWe unprecedentedly discovered the “Sequence Value” concealed in coronary angiography. We then proposed a novel method termed DZL to functionally evaluate the coronary artery in a non-invasive, real-time and adaptive manner.DisclosureThe Authors declare that there is no conflict of interest.
Highly efficient generation of blastocyst-like structures from mouse totipotent blastomere-like cells
Authors: Zhang Pengfei , Zhai Xuzhao , Huang Boyan , Sun Shu , Wang WenJing , Zhang Man 
Published: March 2022

ABSTRACTMammalian embryogenesis begins with a totipotent zygote. Early embryogenesis can be recapitulated by aggregated extended pluripotent stem cells (EPSCs) in a 3D culture system. However, the efficiency of generating blastoids is low and whether other reported totipotent stem cells retained a similar capacity remains unknown. Here we show that spliceosomal repressed totipotent blastomere-like cells (TBLCs) form blastocyst-like structures when aggregated in 3D microwells with around 80% efficiency. TBLC-blastoids resemble blastocyst in morphology and cell-lineage allocation, show similar transcriptional profile with natural blastocyst and contain more TE cells and fewer undefined intermediate cells compared to blastoids from EPSCs. Moreover, TBLC-blastoids can develop beyond the implantation stage in vitro and induce decidualization after transferred into uterus. In summary, we supply an alternative cell type to generate ameliorated blastoids highly efficiently for studying early mouse embryogenesis.
Evaluation of entomopathogenic nematodes against red palm weevil, Rhynchophorus ferrugineus (Olivier) (Coleoptera: Curculionidae)
Authors: Rehman Gul , Mamoon-ur-Rashid Muhammad , Alizai Atiq Ahmad 
Published: March 2022

AbstractThe entomopathogenic nematodes play a pivotal role as bio-control agents of different species of insect pests including red palm weevil. In current investigations, infective capabilities of four species of entomopathogenic nematodes including Hetrerorhabditis bacteriophora, Steinernema feltiae, Steinernema glesri and Steinernema carpocapsae were evaluated against larvae, pupae and adult red palm weevil, under laboratory and field conditions. The pathogenic potential of selected nematode species was assessed based on dissection and adult emergence of weevils. Results indicated that S. carpocapsae and H. bacteriophora with 94.68 and 92.68% infection were found most effective EPN species against red palm weevil larvae. Focusing the adult emergence, aforementioned EPNs were found most pathogenic when pupae of red palm weevil were treated and resulted into 83.60 and 80.20% infested pupae. It was noted that the adult emergence is the better option for the evaluation of pathogenic potential of EPN compared to dissection of insect. The S. carpocapsae was found most effective against 6th instar larvae of red palm weevil and caused 100% mortality at 340 hours after treatment; whereas; S. glesri and S. feltiae were found least pathogenic and caused 70 and 76% mortality. All the evaluated nematode species were found highly infective under field conditions. The S. carpocapsae was found most pathogenic causing 83.60% mortality of red palm weevil. Overall; the tested nematodes were found most effective against larvae followed by adult weevils. The tested nematode species were found least effective against pupae of red palm weevil. Based on current findings, it is concluded that the tested species of nematodes can be used as sustainable option for the management of red palm weevil.
Closed-loop identification for aircraft flutter model parameters
Authors: Jianhong Wang 
Published: March 2022

Purpose
The purpose of this paper is to extend the authors’ previous contributions on aircraft flutter model parameters identification. Because closed-loop condition is more widely used in today’s practice, a closed-loop stochastic model of the aircraft flutter test is constructed to model the aircraft flutter process, whose input–output signals are all corrupted by the observed noises. Through using a rational transfer function, the equivalent property between the aircraft flutter model parameters and polynomial coefficients is established, and then the problem of aircraft flutter model parameters identification is turned to one closed-loop identification problem. An iterative identification algorithm is proposed to identify the unknown polynomial coefficients, being benefit for the latter flutter model parameter identification. Furthermore, as the closed-loop output corresponds to the flutter amplitude, so from the point of the minimization with respect to the variance of the closed-loop output, the optimal input signal and optimal feedback controller are all derived to achieve the zero flutter, respectively, for example, the optimal input spectrum and the detailed form for optimal feedback controller.

Design/methodology/approach
First, model parameter identification for aircraft flutter is reviewed as one problem of parameter identification and this aircraft flutter model corresponds to one closed-loop stochastic model, whose input signal and output are corrupted by external noises. Second, for aircraft flutter closed-loop statistical model with statistical noise, an iterative identification algorithm is proposed to identify the unknown model parameters. Third, from the point of minimizing with respect to the variance of the closed-loop output, the optimal input signal and optimal feedback controller are all derived to achieve the zero flutter, respectively, for example, the optimal input spectrum and the detailed form for optimal feedback controller.

Findings
This aircraft flutter model corresponds to one closed-loop stochastic model, whose input signal and output are corrupted by external noises. Then, identification algorithm and optimal input signal design are studied for aircraft flutter model parameter identification with statistical noise, respectively. It means the optimal input signal and optimal feedback controller are useful for the aircraft flutter model parameter identification within the constructed new closed-loop stochastic model.

Originality/value
To the best of the authors’ knowledge, this problem of the model parameter identification for aircraft flutter is proposed by their previous work, and they proposed many identification strategies to identify these model parameters. This paper proposes a new closed-loop stochastic model to construct the aircraft flutter test, and some related topics are considered about this closed-loop identification for aircraft flutter model parameter identification in the framework of closed-loop condition.