bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of bedtime mouthwash use on sleep: A field sleep study using wristwatch‐type heart rate monitoring devise
Authors: Ishikawa Mami , Mon‐Nai Yusuke , Hirono Ayana , Oshima Yoshiyuki , Nomura Shusaku 
Published: August 2023

AbstractThis study aimed to test the efficacy of a mint‐flavored mouthwash when it is used at bedtime for subsequent sleep in a field study setting, using a wristwatch‐type heart rate (HR) monitoring devise. Using a within‐subject experimental design, twenty healthy adults used three types of mouthwash having a different intensity of mint sensation (or water as a control) per one experiment night just before going to bed at their home environment, in a counterbalanced order. As for results, irrespective of the intensity of mint‐flavored mouthwashes, the subjective score for “fatigue” and “refreshing” before sleep was decreased and increased, respectively. In addition, although a significant inhibition of HR decline in the sleep initiation period (0–30 min after bedtime) was observed with the use of mint‐flavored mouthwashes compared with the control, the trend reversed subsequently as HR trended lower than for the control during 2–6 h after the bedtime. These findings suggest that the using mint‐flavored mouthwashes at bedtime induces a positive mood before sleep and may improve physiological sleep. Moreover, this study illustrated the possible application and significant advantage of the use of wristwatch‐type HR monitoring devise in a context of field study.
Rhodium‐Catalysed Selective C−H Allylation of 1H‐Indazoles with Vinylethylene Carbonate: Easily Introducing Allylic Alcohol
Authors: Zhao Xiang , Huang Junwei , Feng Yadong , Cui Xiuling 
Published: August 2023

AbstractAn efficient rhodium(III)‐catalysed C−H activation of 3‐aryl‐1‐H‐indazoles with easily available vinylethylene carbonate has been reported. A series of allyl alcohol substituted 3‐aryl‐1‐H‐indazoles were obtained with broad functional groups tolerance and favourable stereoselectivity. Notably, C−H and C−O bonds were selectively activated in “one pot” manner, releasing CO2 as the sole by‐product and avoiding external oxidant. This protocol provides a powerful approach for the post stage C−H allylation of indazole‐based substrates.
Beyond trial‐and‐error: Individualizing therapeutic transcranial neuromodulation for chronic pain
Authors: Ciampi de Andrade Daniel , García‐Larrea Luís 
Published: August 2023

AbstractBackground and ObjectiveRepetitive transcranial magnetic stimulation (rTMS) applied to the motor cortex provides supplementary relief for some individuals with chronic pain who are refractory to pharmacological treatment. As rTMS slowly enters treatment guidelines for pain relief, its starts to be confronted with challenges long known to pharmacological approaches: efficacy at the group‐level does not grant pain relief for a particular patient. In this review, we present and discuss a series of ongoing attempts to overcome this therapeutic challenge in a personalized medicine framework.Databases and Data TreatmentRelevant scientific publications published in main databases such as PubMed and EMBASE from inception until March 2023 were systematically assessed, as well as a wide number of studies dedicated to the exploration of the mechanistic grounds of rTMS analgesic effects in humans, primates and rodents.ResultsThe main strategies reported to personalize cortical neuromodulation are: (i) the use of rTMS to predict individual response to implanted motor cortex stimulation; (ii) modifications of motor cortex stimulation patterns; (iii) stimulation of extra‐motor targets; (iv) assessment of individual cortical networks and rhythms to personalize treatment; (v) deep sensory phenotyping; (vi) personalization of location, precision and intensity of motor rTMS. All approaches except (i) have so far low or moderate levels of evidence.ConclusionsAlthough current evidence for most strategies under study remains at best moderate, the multiple mechanisms set up by cortical stimulation are an advantage over single‐target ‘clean’ drugs, as they can influence multiple pathophysiologic paths and offer multiple possibilities of individualization.SignificanceNon‐invasive neuromodulation is on the verge of personalised medicine. Strategies ranging from integration of detailed clinical phenotyping into treatment design to advanced patient neurophysiological characterisation are being actively explored and creating a framework for actual individualisation of care.
A monolithic stationary phase with dendritic nanostructures for the separation of PEGylated proteins
Authors: De los Santos‐González Beatriz E. , Ibarra‐Herrera Celeste C. , Valencia‐Gallegos Jesús A. , Mata‐Gómez Marco A. , González‐Valdez José 
Published: August 2023

AbstractSeparation of PEGylated protein mixtures into individual species is a challenging procedure, and many efforts have been focused on creating novel chromatographic supports for this purpose. In this study, a new monolithic stationary phase with hyperbranched nanostructures was chemically synthesized. For this, monoliths with a support matrix of poly (glycidyl methacrylate‐co‐ethylene dimethacrylate) and ethylenediamine chemistry were modified with third‐generation dendrons with butyl‐end groups. The new monolith was analyzed by infrared spectroscopy, confirming the dendron with butyl ligands and exhibited low mass transfer resistance as observed by breakthrough frontal analysis. This support was able to separate mono‐PEG ribonuclease A from the PEGylation mixture, indicated by a single band (∼30 kDa) in the electrophoretic analysis. Moreover, the separation of mono‐PEGylated positional isomers was probably observed, as the protein with ∼30 kDa was found in two separate peaks. Interestingly, the dendronized monolith allowed the separation of the reaction mixture into individual PEGylated species when using high ammonium sulfate concentrations (2 M). A correlation between the PEGylation degree and the strength of the hydrophobic interactions on the monolith was observed. This chromatographic approach combines the natural branched architecture of dendrons and the higher capabilities of the monoliths enhancing the hydrophobic surface area, and therefore the interaction between the PEGylated proteins and ligands. Thus, the novel support represents a novel platform for the purification of PEGylated from non‐PEGylated proteins with biotechnological applications.
Computational modeling of Prandtl‐nanofluid flow using exponentially vertical surface in terms of chemical reaction
Authors: Biswas Rajib , Falodun B. O. , Islam Nazmul , Ahmmed Sarder Firoz , Mishra S. R. , Afikuzzaman Mohammad 
Published: August 2023

AbstractCurrent study examined the magnetohydrodynamic (MHD) Prandtl nanofluid of a thermal double‐diffusive flow through an exponentially vertical surface in association with heat generation, and thermophoresis effect. The novelty of this study is due to the analysis of Prandtl nanofluid model with Soret mechanism and chemically responding fluids. This suggested model is beneficial since it can significantly advance the domains of thermal and industrial engineering. The fluid flow phenomenon is characterized by nonlinear coupled differential equations involving two or more independent variables. A suitable numerical technique is used to handle the set of governing equations along with a stability and convergence analysis. According to recent study, the fluid velocity increases since all the parameters are set to higher levels. For the various parametric values, isotherms and streamlines have been explored. This suggested model is beneficial since it can significantly advance the domains of thermal and industrial engineering. For instance, thermal radiation is crucial in designing sophisticated energy‐transformed systems that operate at high temperatures. On the other hand, the phenomenon of Soret is useful in separating isotopes in chemical engineering. An important findings of the current investigations can be treated as, radiative heat encourages fluid temperature distribution since it is the measure of the electromagnetic element radiates from the fluid particle that convert it into thermal radiation. These studies have several applications in the manufacturing and biomedical fields, petrochemical industries, automobiles, medical sciences, and various production processes in industries.
Dynamic behavior analysis method for the normal and faulty drivetrain of wind turbine under multi‐working conditions
Authors: Huang Yuhao , Liu ShanJian , Chen Huanguo , Dai Juchuan , Wang Xutao , Tao Hanyu 
Published: August 2023

AbstractDue to the random fluctuation of wind energy, the working conditions of the drivetrain have complex time‐varying characteristics. To deeply understand time‐varying dynamic behavior, a dynamic behavior method for normal and faulty drivetrain under multiple operating status is proposed. First, the working condition is divided into multiple working conditions by combining the control principle of the wind turbine with the K‐means clustering algorithm. Second, the torsional dynamics model of the drivetrain is established, solved, and verified. Finally, the dynamic behavior of normal and faulty drivetrain under multiple working conditions is analyzed. The dynamic behavior of drivetrain in normal and faulty states under different working conditions can be determined by the method proposed in this paper, which is affected by the system itself, external load, and the control strategy of the wind turbine. At the same time, the fault‐sensitive working condition range and the fault feature index under each working condition are determined. This research can provide an important theoretical basis for variable condition fault diagnosis.
Method of defining rock damage variable on the basis of wave impedance
Authors: Li Weiyu , Fang Shizheng , Gao Xin , Han Yidan 
Published: August 2023

AbstractA method of determining rock damage variable from wave impedance, which is suitable for the study of dynamics, is presented. The determined variable provides a more reasonable quantitative description of the degree of rock damage. First, the Taylor model of mesoscopic damage mechanics is used to derive the relationship between the velocity of longitudinal waves and the density of rock materials. Based on the measured data of rock samples with different lithology and the same lithology, the relationship between the longitudinal wave velocity and density of rock materials is studied. It is demonstrated that using the wave impedance to define the rock damage variable has advantages over using the P‐wave velocity. Second, the relationship between the wave impedance and degree of damage to the rock material is studied using an electron microscope and ultrasonic testing technology, and the microstructure of rock samples with a wave impedance gradient and time–frequency‐domain characteristics of the ultrasonic signals are compared and analyzed. It is found that it is feasible to determine the damage degree of the rock from the wave impedance. Finally, a method of defining rock damage variable with the wave impedance is further proposed and its rationality verified. The research results show that there is a good positive correlation between the longitudinal wave velocity and density of rock materials, and there is a strong correlation between the degree of rock damage and its wave impedance. The damage variable defined by wave impedance can better reflect the damage state and damage evolution process of rock.
Textual emotion analysis using improved metaheuristics with deep learning model for intelligent systems
Authors: Alohali Manal Abdullah , Alasmari Naif , Almalki Nabil Sharaf , Khalid Majdi , Alnfiai Mrim M. , Assiri Mohammed , Abdelbagi Sitelbanat 
Published: August 2023

AbstractComplex, intelligent systems, namely social network services (SNS), internet‐of‐things (IoT), augmented reality (AR), virtual reality (VR), and so on have become a crucial part of our day‐to‐day life. The dynamics of this system alter human behaviors in various forms. Therefore, it is important to understand the fundamental dynamics of the system and what it involves for user sentiment. Emotion analysis is a commonly used and very powerful analysis methodology in data mining. It gives an outstanding option to evaluate, determine, understand, and monitor the sentiments of consumers with respect to a service or a product. This article focuses on the design of textual emotion analysis using the improved metaheuristics with deep learning (TEA‐IMWDL) model for intellectual systems. The goal of the TEA‐IMWDL technique lies in the identification and classification of emotions that exist in social media content. To attain this, the presented TEA‐IMWDL technique undergoes preprocessing to make the input data compatible with the latter stages of processing. For the word embedding process, the Fast text approach is utilized in this study. Next, the long short term memory‐recurrent neural network (LSTM‐RNN) method can be enforced for the emotion classification procedure. To boost the classification efficiency of the LSTM‐RNN model, an improved gravitational search optimization algorithm (IGSA) based hyperparameter tuning process is involved in this study. A brief set of simulation analyses of the TEA‐IMWDL technique is carried out and the results are tested on a benchmark dataset. The experimental outcomes demonstrate the enhanced performance of the TEA‐IMWDL technique over other recent approaches.
Ultrasonication/dynamic maceration‐assisted extraction method as a novel combined approach for recovery of phenolic compounds from pomegranate peel
Authors: Andishmand Hashem , Masoumi Behzad , Torbati Mohammadali , Homayouni‐Rad Aziz , Azadmard‐Damirchi Sodeif , Hamishehkar Hamed 
Published: August 2023

AbstractAccording to recent studies, pomegranate peel (PP) has the potential to be inverted from environmental pollutant waste to wealth due to possessing valuable phenolic compounds at a higher amount compared to edible parts. So far, different types of biological activities such as antimutagenic, antiproliferative, anti‐inflammatory, and chemo‐preventive properties were stated for pomegranate peel extract (PPE) according to chemical composition. In the present research, the probable intensifying effects of two extraction methods and optimum conditions for novel combined method of ultrasonication and dynamic maceration‐assisted extraction of PPE using response surface methodology (RSM) were determined. A Box–Behnken Design (BBD) was employed to optimize three extraction variables, including sonication time (X1), sonication temperature (X2), and stirring speed (X3) for the achievement of high extraction yield of the phenolic compounds and antioxidant activity. The optimized conditions to obtain maximum extraction efficiency were determined as X1 = 70 min, X2 = 61.8°C, and X3 = 1000 rpm. The experimental values were in line with the values anticipated by RSM models, which indicates the appropriateness of the applied quadratic model and the accomplishment of RSM in optimizing the extraction conditions. The results suggest that the extraction of PPE by mix of ultrasonication as a modern method and dynamic maceration as a conventional method could improve its bioactive extractability and the obtained values were higher than any of the methods used. In other words, these two methods together have intensifying effects in increasing extraction efficiency which could further be utilized in food and agricultural industry.
Outcomes for oligometastatic head and neck cancer treated with stereotactic body radiotherapy: Results from an international multi‐institutional consortium
Authors: Id Said Badr , Mutsaers Adam , Chen Hanbo , Husain Zain A. , Biswas Tithi , Dagan Roi , Erler Darby , Foote Matthew , Louie Alexander V. , Redmond Kristin , Ricardi Umberto , Sahgal Arjun , Poon Ian 
Published: August 2023

AbstractBackgroundWe report the results of an international multi‐institutional cohort of oligometastatic (OMD) head and neck cancer (HNC) patients treated with SBRT.MethodsPatients with OMD HNC (≤5 metastases) treated with SBRT between 2008 and 2016 at six institutions were included. Treated metastasis control (TMC), progression‐free survival (PFS), and overall survival (OS) were analyzed by multivariable analysis (MVA).ResultsForty‐two patients with 84 HNC oligometastases were analyzed. The TMC rate at 1 and 2 years were 80% and 66%, with a median time to recurrence of 10.1 months. The median PFS and OS were 4.7 and 23.3 months. MVA identified a PTV point maximum (BED)10 > 100 Gy as a predictor of improved TMC (HR = 0.31, p = 0.034), and a cumulative PTV > 48 cc as having worse PFS (HR = 2.99, p < 0.001).ConclusionFavorable TMC and OS was observed in OMD HNCs treated with SBRT.
Identification of work‐related injuries among Dhokra handicraft artisans influencing sustainable growth of bell metal handicraft industry: An unorganized sector of Chhattisgarh, India
Authors: Sahu Avinash , Pandit Sangeeta , Kamble Rajat 
Published: August 2023

AbstractHandicraft is the backbone of rural economy of countries of South Asia and Southeast Asia. Bell metal handicraft known as “Dhokra craft,” is an important metal handicraft practiced in India. Commercialization of this craft industry has increased working hours but the business model is still cottage‐based. Manual manufacturing for commercial needs has increased incidence of hand injuries among the artisans affecting sustainable growth. The objective of this research is to find the cause of work‐related hand injuries of the artisans of bell metal handicraft industry to provide direction for future research. Occupational risk on hands were identified using Modified Dutch Musculoskeletal Questionnaire. Severity of hand symptoms were assessed by Modified Boston Hand Evaluation Questionnaire. Direct observation and task analysis was further used to understand the risk involved in the job. Use of hand tools and power tools play significant role in the development of hand injuries among the artisans. Hand problems such as amputation, burning marks, loss of sensitivity, and tingling sensation were highly observed among artisans, those with experience >31 years. Experienced artisans undergo more occupational hand injuries, causing absenteeism, job turnover, and job loss. This ultimately affects the sustainable growth of the Dhokra trade community.
The roles of chaplains in dispelling cancer myths in Nigeria: A narrative review
Authors: Salami Afeez A. , Kanmodi Kehinde K. , Amzat Jimoh 
Published: August 2023

AbstractBackground and AimsThe epidemiological burden of cancer in Africa, and Nigeria in particular, has been increasing significantly over the past few decades due to exposure to numerous risk factors as well as belief in various myths and misconceptions. Chaplains can play crucial roles in dispelling these myths and misconceptions about cancer among people. Therefore, this study seeks to review the epidemiological burden, risk factors, and myths relating to cancer and the roles of chaplains in dispelling cancer myths in Nigeria.MethodsThis paper is a narrative review that relied on secondary sources obtained through a thorough literature search of relevant articles on multiple electronic databases including PubMed, Google Scholar, and Web of Science. Published books, journal articles, and other published materials that were written in English were consulted in line with the objectives of this study. Both theoretical and empirical papers were used for this review.ResultsCancers are associated with risk factors including exposure to chemicals, ultraviolet radiation, harmful tobacco and alcohol use, exposure to human papillomavirus (HPV), and these factors may vary with age, cultural beliefs (myths and misconceptions), and socioeconomic factors among others. Chaplains, however, have crucial roles to play in dispelling cancer myths in Nigeria. These roles include counseling, advocacy, education, and psycho‐social support which may be limited by challenges such as spiritual ambiguity, inadequate training of healthcare providers and limited time/resources. These challenges can be addressed by training healthcare providers and incorporating chaplain practice in Nigerian healthcare.ConclusionThe role of chaplains in dispelling cancer myths in Nigeria is crucial despite the numerous challenges. Hence, an urgent address of these challenges will be instrumental in ensuring effective chaplain practice in Nigeria.
Global prevalence of Helicobacter pylori infection among individuals with obesity: A protocol for a systematic review and meta‐analysis
Authors: Sadeghi Alireza , Dehdari Ebrahimi Niloofar 
Published: August 2023

AbstractBackground and AimsModern populations are prone to obesity, as sedentary lifestyles prevail globally. Previous research has shown that obesity and Helicobacter pylori are mutually associated. However, the global prevalence of H. pylori among individuals with obesity is not yet determined.MethodsA comprehensive search will be conducted in PubMed, Scopus, and Web of Science online databases for studies that have reported the prevalence of H. pylori infection among individuals with obesity. Cross‐sectional, case–control, and cohort studies will be included if reported sufficient data. Records screening, data extraction, and quality assessment will be done by independent reviewers. Joanna Bridge Institute checklist for prevalence studies will be used to appraise the included studies. Prevalence will be pooled using random effect models. Heterogeneity will be quantified by I2 and p value. Subgroup analyses and meta‐regression will be utilized to address the sources of residual between‐study heterogeneity.DiscussionUnderstanding the regional and global occurrence of H. pylori infection in individuals with obesity can provide valuable insights for health policymakers and clinicians to devise proficient diagnostic and eradication strategies, thereby enhancing postoperative outcomes for patients undergoing bariatric surgery. The study's strength will lie in not being restricted to language and time of publication, comprehensive investigation of regional and pre‐ and posteradication estimates, and the effects of time trends and sociodemographic indices on H. pylori prevalence. However, potential heterogeneity in methodologies used across prevalence studies could affect the interpretation of the results. Additionally, the study relies on previously published studies, limiting data quality and completeness.