bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quality of Life in Remitted Patients with Schizophrenia: A Cross-Sectional Study
Authors: Masoomi Maryam , Shadloo Behrang , Amini Homayoun 
Published: June 2023

Background: Assessment of the Quality of Life (QOL) is increasingly performed as an efficient method to assess the quality of care provided for patients with schizophrenia. Also, the QOL assessment performed by patients themselves is more affected by the symptoms of schizophrenia. Therefore, a mental health professional evaluation may provide more objective information. This study was undertaken to objectively assess QOL in a group of remitted patients with schizophrenia in Iran by using Quality of Life Scale (QLS).
Methods: This descriptive cross-sectional study was performed on 85 remitted patients with schizophrenia consecutively referred to Roozbeh Hospital. The mean age of the participants was 37.81±9.92 years, 54 (63.53%) were male, 16 (18.8%) were married, and 19 (22.4%) were employed. The Quality of Life Scale (QLS) was used to collect data through face-to-face interviews.
Results: The total score of QLS for patients is 2.95±0.93. Among subscales, the interpersonal relations scores (2.44±1.10) and intrapsychic foundations scores (2.90±1.07) were lower than the other domains scores. The QLS score was higher in patients with an associate degree or higher level of education (p-value<0.01) and those living with family members (p-value<0.01). The overall employment rate was low among the patients. There was no significant relationship between current doses of various medications and any QLS domain scores; however, a significant inverse relationship was between the current doses of first- and second-generation antipsychotics and the instrumental role domain score.
Conclusion: The findings of this study showed that the scores of different domains of QLS were low in the remitted patients with schizophrenia. The impact of different antipsychotic treatments and their side effects on the QOL should be addressed in future studies.
The CBIT+TMS Trial: study protocol for a two-phase randomized controlled trial testing neuromodulation to augment behavior therapy for youth with chronic tics
Authors: Conelea Christine , Greene Deanna , Alexander Jennifer , Houlihan Kerry , Hodapp Sarah , Wellen Brianna , Francis Sunday , Mueller Bryon , Hendrickson Timothy , Tseng Angela , Chen Mo , Fiecas Mark , Lim Kelvin , Opitz Alexander , Jacob Suma 
Published: June 2023

Abstract

Background: Comprehensive Behavioral Intervention for Tics (CBIT) is a first-line treatment for tic disorders that aims to improve controllability over tics that an individual finds distressing or impairing. However, it is only effective for approximately half of patients. Supplementary motor area (SMA)-directed neurocircuitry plays a strong role in motor inhibition, and activity in this region is thought to contribute to tic expression. Targeted modulation of SMA using transcranial magnetic stimulation (TMS) may increase CBIT efficacy by improving patient ability to implement tic controllability behaviors.
Methods: The CBIT+TMS trial is a two-phase, milestone driven early-stage randomized controlled trial. The trial will test whether augmenting CBIT with inhibitory, noninvasive stimulation of SMA with TMS modifies activity in SMA-mediated circuits and enhances tic controllability in youth ages 12-21 years with chronic tics. Phase 1 will directly compare two rTMS augmentation strategies (1Hz rTMS vs. cTBS) vs. sham in N = 60 participants. Quantifiable, a priori “Go/No Go Criteria” guide the decision to proceed to Phase 2 and selection of the optimal TMS regimen. Phase 2 will compare the optimal regimen vs. sham and test the link between neural target engagement and clinical outcomes in a new sample of N = 60 participants.
Discussion: This clinical trial is one of few to date testing TMS augmentation of therapy in a pediatric sample. Results will provide insight into whether TMS is a potentially viable strategy for enhancing CBIT efficacy and reveal potential neural and behavioral mechanisms of change.
Trial registration: ClinicalTrials.gov Identifier: NCT04578912. Registered October 8, 2020. https://clinicaltrials.gov/ct2/show/NCT04578912
Forming mechanism of leaf-like integral outside finned tubes by a combination method of knurling and cutting-bending
Authors: Zou Yang , Tang Kairui , Guo Guiqing , Tang Yong 
Published: June 2023

Abstract
A combination method of knurling and cutting-bending is proposed to manufacture leaf-like integral outside finned tubes (LIOFT). The numerical analysis method was used to explore the material fracture and plastic forming processes. Single-factor experiments were used to establish quantitative relationships between process parameters and forming quality to guide the design of experimental parameters. The results of the numerical analysis revealed that the teeth of the knurled tube were cut by the tool's main cutting edge and then slide-bent along the rake face and minor cutting edge during the forming process. The knurling direction significantly affects the fin height and shift, a reasonable knurling direction increases the fin height by 40.1% while reducing the fin shift by 94.0%. Increasing the friction coefficient and tool feeding speed slightly increases the fin height but reduces the fin strength and finning ratio. The combination of experimental parameters was optimized based on the numerical analysis results, and a LIOFT with a maximum fin height of 3.46 mm was manufactured accordingly.
Air pollution and thyroid abnormalities: Systematic review and meta-analysis
Authors: Rohani Farahnaz , Rezayat Arash Akhavan , Rohani Behnaz , Liaghat Amirreza , Najafi Sara , Jafari Niloufar , Rezayat Shima Akhavan , Joulaei Hasan 
Published: June 2023

Abstract

Background Air pollution exposure can trigger a wide range of thyroid dysfunction in different population groups. This systematic review and meta-analysis aimed to find the association between air pollution and thyroid dysfunction in the general population and neonate, pregnant and cancerous people. Methods Electronic databases, including Web of Science, PubMed, Scopus, and Embase, were searched for all published articles from 27 October 2021. The Newcastle Ottawa Scale checklist was used to assess the quality of individual studies. Relevant demographic data and the intended results of the selected studies were extracted, and their adjusted odds ratios were pooled using random and fixed effect analysis based on the heterogenicity index. Results After applying the search strategies, twenty-six articles were included in our study. Overall, the association between air pollution and thyroid cancer, neonatal hypothyroidism, maternal thyroid function, and thyroid function in the general population was discussed in four, eight, ten, and four studies, respectively. There was a significant association between PM2.5exposure and maternal hypothyroxinemia with pooled OR of 1.241 (95%CI, 1.089–1.415), p-value < 0.001. No positive relationship existed between NO2 exposure and maternal hypothyroxinemia with pooled OR of 1.007 (95%CI, 0.840–1.207), p-value = 0.941. The investigation of the relationship between PM2.5exposure and congenital hypothyroxinemia showed a significant association between them, with pooled OR of 1.017 (95%CI, 1.002–1.032), p-value = 0.024. Conclusions Air pollution could influence thyroid function, especially in pregnant women and newborn infants. This study and similar investigations provide evidence of air pollution toxicity for healthcare systems.
Effect of He 2+ Ion Irradiation on the Mechanical Properties of Automated Fibre Placement (Afp) Cf-peek Thermoplastics Composites
Authors: Oromiehie Ebrahim. , Nair Vishnu , Short Ken. , Wei Tao. , Bhattacharyya Dhriti. , Prusty B. Gangadhara 
Published: June 2023

Abstract

Carbon fiber-reinforced polyetheretherketone (CF-PEEK) composites have gained significant usage across diverse industries like automotive and aerospace due to their desirable characteristics. These properties encompass recyclability, low density, high strength, wear resistance and thermal stability. High fluence ion irradiation is of interest for fundamental reasons and for potential applications in aerospace industry, as the components will be subjected to a high radiation environment once they escape the earth’s atmosphere. The ion irradiation of CF-PEEK is accompanied by radiation-induced effects, which drastically change the structure and properties of irradiated material. Since the resistance of CF-PEEK to radiation damage has not been studied extensively, this study aims to understand the effect of high-energy He2+ ions on the microstructure and properties of CF-PEEK composites manufactured using automated fibre placement (AFP) under different processing conditions. The samples have been radiated with 5 MeV He2+ ions using an energy degrader wheel to create a layer with relatively uniform damage. Then, were characterized using optical and scanning electron microscopy and their hardness was evaluated using nanoindentation. It was observed that, irradiation increases the hardness of the fibres in all cases. Also, fibre orientation affects the hardness in a statistically significant manner in both unirradiated and irradiated conditions.
Integrating climate adaptation strategies in spatial decision support systems
Authors: Povak Nicholas A. , Manley Patricia N. , Wilson Kristen N. 
Published: June 2023

Abstract

With the onset of rapid climate change and the legacy of past forest management and fire suppression policies, the capacity for forested landscapes to maintain core functionality and processes is being challenged. As such, managers are tasked with increasing the pace and scale of management to mitigate negative impacts of future large disturbances and improve resilience and climate adaptation of large landscapes. Such an effort will require consensus building, with partners and stakeholders to determine where to allocate scarce resources. We present a methodology to identify strategic (where to go) and tactical (what to do) priorities across large landscapes to assist in project level planning. The model integrates a spatial assessment of current ecological and resource conditions and spatial outputs from a landscape succession and disturbance simulation model (LANDIS-II) to assess the potential to achieve desired conditions under climate change with ongoing disturbances. Based on the expected trajectory of landscape conditions over time, the model applies multivalent reasoning (aka, fuzzy logic) to provide spatial decision support for four management strategies (Monitor, Protect, Adapt, and Transform) across the landscape. We apply these methods to a 970,000-ha landscape in the central Sierra Nevada Mountains of California with a focus on managing for improved carbon sequestration. By including future landscape conditions in the model, decisions made at the stand-level are inherently tied to and influenced by larger landscape-level processes that are likely to have the greatest influence on future landscape dynamics. Evaluations are adaptable to incorporating multiple metrics to capture the many resources management can influence such as forest resilience, fire dynamics, biodiversity conservation, and carbon sequestration. Model outputs could also be used as inputs into optimization models to assess tradeoffs and synergies between these conditions and resources, technical and economic feasibilities, and to develop long-term management plans.
Tuning optical, dielectric, and electrical properties of Carboxymethyl cellulose (CMC) doped with Cobalt ferrite (CoFe2O4) nanoparticles via laser ablation for flexible electronic devices
Authors: Menazea Abdelrhman A. , El-Morsy M. A. 
Published: June 2023

Abstract
The authors have requested that this preprint be removed from Research Square.
Unveiling the structure of umbu tree dispersal units through x-ray imaging
Authors: Rodrigues Allana Mellyse Barbosa , Torres Maria Fernanda Oliveira , Nunes Valdinete Vieira , Souza Juliana Lopes , Santana Natali Aparecida , MANN RENATA SILVA 
Published: June 2023

Abstract
Characterizing dispersal structures is crucial for species identification and selecting diverse germplasm. This study aimed to investigate the morphology of Spondias tuberosa dispersion units and assess the efficacy of x-ray imaging in characterizing their internal morphology. X-ray imaging successfully revealed the internal structures, enabling the identification of filled, translucent, malformed, and empty seeds. The morphological analysis provided valuable insights into the dispersal units and presented a non-destructive and efficient method for future germplasm studies.
Energy scheduling based-two layers interval optimization in a smart energy hub system with multi-performance of the hydrogen storage system and demand side management
Authors: Javid Seyed Saeed Mosayebi , Derakhshan Ghasem , Hakimi Seyed mehdi 
Published: June 2023

Abstract
A smart energy hub (SEH) is one of the significant opportunities in smart grids as a distinguished framework for optimal energy consumption and generation. The energy price uncertainty in energy markets for energy optimization is the main challenge for achieving economic modeling of energy consumption and generation. This paper proposes optimal energy scheduling in a SEH under uncertainty of electricity prices in the day ahead in the energy market. The proposed optimization approach is implemented by a two-layer interval approach considering uncertainties for minimizing energy generation cost. In first layer optimization, electrical demand subject to the optimal level of electrical consumption is modified by the demand shifting strategy by using the demand side management (DSM). In second-layer optimization, the interval approach is used for modeling uncertainty; and energy generation cost is converted to Bi-objective functions including average and deviation costs with conflict nature than each other. Also, the multi-performance of the hydrogen storage system based-electrical and natural gas generation is considered for managing uncertainties in second layer optimization. Since the interval optimization approach is proposed in the second layer, minimizing the average cost and deviation cost are formulated as Bi-objective functions by the augmented epsilon-constraint method. In the following, the LINMAP procedure is utilized to achieve maximum compatibility and the best trade-off consequence in the Pareto frontier of the multi-objective functions. Finally, the proposed optimization approach is modeled as a numerical simulation in the three case studies to verify obtained results by implementing the DSM and hydrogen storage system participation.
RETRACTED: Genetic Variability, Correlation and Path Analysis Studies Among Different Tulip Genotypes
Authors: RANA NEPU , Sharma Puja , Dhiman Sita Ram , Kashyap Bharati , Dogra Rajesh Kumar , Sharma Anju , Sharma Poonam 
Published: June 2023

Abstract
The authors have requested that this preprint be removed from Research Square.
Statistical quality control based on control charts and process efficiency index by the application of fuzzy approach (case study: Ha'il, Saudi Arabia)
Authors: Ben Khedher Nidhal , Boudjemline Attia , Aich Walid , Zeddini Mohamed Ali , Calderon-Madero Jorge E. 
Published: June 2023

AbstractFuzzy methods using linguistic expressions and fuzzy numbers can provide a more accurate examination of manufacturing systems where data is not clear. Researchers expanded fuzzy control charts (CCs) using fuzzy linguistic statements and investigated the current process efficiency index to evaluate the performance, precision, and accuracy of the production process in a fuzzy state. Compared to nonfuzzy data mode, fuzzy linguistic statements provided decision makers with more options and a more accurate assessment of the quality of products. The fuzzy index of the actual process efficiency analyzed the process by considering mean, target value, and variance of the process simultaneously. Inspection of household water meters in Ha'il, Saudi Arabia showed the actual process index values were less than 1, indicating unfavorable production conditions. Fuzzy methods enhance the accuracy and effectiveness of statistical quality control in real-world systems where precise information may not be readily available. In addition, to provide a new perspective on the comparison of urban water and sewage systems, the results obtained from fuzzy-CC were compared with various machine learning methods such as artificial neural network and M5 model tree, in order to identify and understand their respective advantages and limitations.
Synthesis, Characterization and Biosafety Evaluation of Hollow Gold
Nanospheres
Authors: Zhang Lu , Zhang Xiao-Yan , Hu Yu-Lan , You Jian 
Published: June 2023

Objectives:
In order to assess the biosafety of HAuNS using zebrafish models and the
cancer cell lines HepG2, HEK293, and A549, this study prepared HAuNS in a variety of sizes and
alterations.

Methods:
By oxidizing cobalt nanoparticles encased in gold shells, HAuNS were created. In the
meantime, PEG- and PEI-coated HAuNS were created. The diameters of the HAuNS that were
produced were 30~40 nm, 50~60 nm, and 70~80 nm. MTT assay was used to assess the toxicity of
HAuNS on HepG2, HEK293, and A549 cells. For the investigation of their toxicities, HAuNS
(50~60 nm) of various concentrations were incubated with zebrafish embryos. Then, cell death
was determined using acridine orange staining.

Results:
In a cell line model, it was demonstrated that purified HAuNS exhibit lower toxicity than
unpurified HAuNS. Meanwhile, it was discovered that surface-modified HAuNS was less hazardous
than unmodified HAuNS. Unpurified HAuNS (50–60 nm) exposure to embryos caused deformity
and increased mortality. Moreover, embryos exposed to HAuNS displayed an increase in
cell death, showing that HAuNS can put zebrafish under physiological stress.

Conclusion:
The possible toxicity of HAuNS is now more understood thanks to this investigation.
The details could improve our comprehension of the nanotoxicity of medication delivery systems.
Comparing HAuNS (50~60nm) to the other two particle sizes, its toxicity was quite low. Compared
to unpurified HAuNS, purified HAuNS displayed less toxicity. Comparing PEI-HAuNS and
HAuNS to PEG-HAuNS, cytotoxicity was found to be lower. Our data support the use of pure
HAuNS, HAuNS-PEG, and HAuNS (50~60nm) as possible photothermal conductors when seen
as a whole.
Regulatory Effect of Electroacupuncture on Hypothalamic Serotonin and
its Receptor in Rats with Cerebral Ischemia
Authors: Ma Tongjun , Li Chenyu , Nie Zeyin , Miao Huachun , Wu Feng 
Published: June 2023

Background:
Previous studies have shown that the neurological damage caused by
middle cerebral artery occlusion (MCAO) is not only limited to local infarction but can also cause
secondary damage in distant sites, such as the hypothalamus. 5-hydroxytryptamine (5-HT)/ 5-HT
transporter (5-HTT) and 5-HT receptor 2A (5-HT2A) are important in the treatment of cerebrovascular
diseases.

Objective:
This study aimed to study the effect of electroacupuncture (EA) on the expression of 5-
HT, 5-HTT, and 5-HT2A in the hypothalamus of rats with ischemic brain injury and to explore the
protective effect and potential mechanism of EA on the secondary injury of cerebral ischemia.

Methods:
Sprague-Dawley (SD) rats were randomly divided into three groups: sham group, model
group, and EA group. The permanent middle cerebral artery occlusion (pMCAO) method was used
to induce ischemic stroke in rats. In the EA group, the Baihui (GV20) and Zusanli (ST36) points
were selected for treatment, which was administered once per day for two consecutive weeks. The
neuroprotective effect of EA was evaluated by nerve defect function scores and Nissl staining. The
content of 5-HT in hypothalamus was detected by enzyme linked immunosorbent assay (ELISA),
and the expression of 5-HTT and 5-HT2A were detected by Western blot.

Results:
Compared with that in the sham group, the nerve defect function score in the model group
rats was significantly increased, the hypothalamus tissue showed obvious nerve damage, the levels
of 5-HT and the expression of 5-HTT were significantly reduced, and the expression of 5-HT2A
was significantly increased. After 2 weeks of EA treatment, the nerve defect function scores of
pMCAO rats were significantly reduced, the hypothalamic nerve injury was significantly reduced,
the levels of 5-HT and the expression of 5-HTT were significantly increased, and the expression of
5-HT2A was significantly decreased.

Conclusion:
EA has a certain therapeutic effect on hypothalamic injury secondary to permanent
cerebral ischemia, and its potential mechanism may be closely related to the upregulation of 5-HT
and 5-HTT expression and the downregulation of 5-HT2A expression.
Predicting Antitumor Activity of Anthrapyrazole Derivatives using
Advanced Machine Learning Techniques
Authors: Gackowski Marcin , Pluskota Robert , Koba Marcin 
Published: June 2023

Background:
Anthrapyrazoles are a new class of antitumor agents and successors to
anthracyclines possessing a broad range of antitumor activity in various model tumors.

Objective:
The present study introduces novel QSAR models for the prediction of antitumor activity
of anthrapyrazole analogues.

Methods:
The predictive performance of four machine learning algorithms, namely artificial neural
networks, boosted trees, multivariate adaptive regression splines, and random forest, was studied
in terms of variation of the observed and predicted data, internal validation, predictability,
precision, and accuracy.

Results:
ANN and boosted trees algorithms met the validation criteria. It means that these procedures
may be able to forecast the anticancer effects of the anthrapyrazoles studied. Evaluation of
validation metrics, calculated for each approach, indicated the artificial neural network (ANN)
procedure as the algorithm of choice, especially with regard to the obtained predictability as well
as the lowest value of mean absolute error. The designed multilayer perceptron (MLP)-15-7-1
network displayed a high correlation between the predicted and the experimental pIC50 value for
the training, test, and validation set. A conducted sensitivity analysis enabled an indication of the
most important structural features of the studied activity.

Conclusion:
The ANN strategy combines topographical and topological information and can be
used for the design and development of novel anthrapyrazole analogues as anticancer molecules.