bluuebunny/crossref_metadata_2025 huggingface dataset:
094 The adult phenotypes of paediatric-onset genetic epilepsies
Authors: Lewis-Smith David , Craig Donald , Thomas Rhys
Published: March 2023

Genetic discovery in epilepsies has focussed on cohorts of children who typically have severe and intractable seizures. Now that genetic testing for adults with epilepsy has entered routine clinical practice, we are able to learn about the developmental trajectory of these epilepsies.

Undiagnosed patients with epilepsy and intellectual disability were offered gene panel testing in an NHS epilepsy clinic. We present the clinical features of eight adults found to carry variants in paediatric epilepsy genes during re-investigation. All are amongst the oldest cases described. In six cases (CHD2, CNTNAP2, KCN1A, KCNT1, SCN2A, SCN8A) the onset was typical of published cases and we describe the evolution of their syndromes into adulthood including EEG and imaging. In two (SMC1A, NEXMIF) the onset was significantly later than published cases and we hypothesise that the phenotypic spectrum is broader than first thought for these disorders.

Rare variants in genes associated with developmental and epileptic encephalopathies occur in adults with epilepsy. Stratifying patients with regards to syndromic diagnosis will facilitate more precise personalised prognostication and ultimately molecularly stratified treatment strategies. To maximise this potential it will become more important over the coming years for adult neurologists to undertake and understand genetic testing and collaborate with longitudinal observational studies of cohorts defined by molecular features.
096 Perampanel: real life experience in swansea
Authors: Ismail Mouhamad Hussein , Powell Robert
Published: March 2023

Introduction

Perampanel is a selective, non-competitive AMPA receptor antagonist with a broad-spectrum activity. The aim of this study was to evaluate the efficacy and tolerability of Perampanel in an unselected group of patients with epilepsy treated at a single centre.

Methods

Patients prescribed Perampanel in Morriston Hospital were included in the study. We recorded epilepsy type and duration, and side effects of treatment. The efficacy was measured by the frequency of seizures at various time points after commencing Perampanel

Results

39 patients were included, 53.8% (21/39) male and 46.2% (18/39) females, mean age was thirty-nine. 71.8% (28/39) had focal epilepsy and 82.1% (32/39) were on 2 or more anti-epileptic drugs (AEDs). 30.7% (12/39) of patients reported more than 50% improvement in the frequency of seizures after commencing Perampanel. 38.4% (15/39) reported no change, 5% (2/39) of patients reported worsening of seizures. The most commonly reported side effects were aggression 25.6% (10/39), low mood 20.5% (8/39) and dizziness 15.3% (6/39).

Conclusion

Perampanel showed mixed results in relation to seizure frequency reductions and the most commonly reported side effects were low mood and aggression. We plan to extend the study to include patients from other south wales centres and calculate overall retention rates.
Cross section measurement of the $$^{12}$$C(p,$$\gamma $$)$$^{13}$$N reaction with activation in a wide energy range
Authors: Gyürky Gy. , Csedreki L. , Szücs T. , Kiss G. G. , Halász Z. , Fülöp Zs.
Published: March 2023

The CNO cycle is one of the fundamental processes of hydrogen burning in stars. The first reaction of the cycle is the radiative proton capture on $$^{12}$$

12

C and the rate of this $$^{12}$$

12

C(p,$$\gamma $$
γ
)$$^{13}$$

13

N reaction is related to the $$^{12}$$

12

C/$$^{13}$$

13

C ratio observed e.g. in the Solar System. The low-energy cross section of this reaction was measured several times in the past, however, the experimental data are scarce in a wide energy range especially around the resonance at 1.7 MeV. In the present work the $$^{12}$$

12

C(p,$$\gamma $$
γ
)$$^{13}$$

13

N cross section was measured between 300 and 1900 keV using the activation method. This method was only used several decades ago in the low-energy region. As the activation method provides the total cross section and has uncertainties different from those of the in-beam $$\gamma $$
γ
-spectroscopy technique, the present results provide a largely independent data set for future low-energy extrapolations and thus for astrophysical reaction rate calculations.
Vacuum stability and radiative symmetry breaking of the scale-invariant singlet extension of type II seesaw model
Authors: Dirgantara Bayu , Kannike Kristjan , Sreethawong Warintorn
Published: March 2023

The questions of the origin of electroweak symmetry breaking and neutrino mass are two major puzzles in particle physics. Neutrino mass generation requires new physics beyond the Standard Model and also suggests reconsideration of physics of symmetry breaking. The aim of this paper is to study radiative symmetry breaking in the singlet scalar extension of type II seesaw neutrino mass model. We derive bounded-from-below conditions for the scalar potential of the model in full generality for the first time. The Gildener–Weinberg approach is utilised in minimising the multiscalar potential. Upon imposing the bounded-from-below and perturbativity conditions, as well as experimental constraints from colliders, we find the parameter space of scalar quartic couplings that can radiatively realise electroweak symmetry breaking at one-loop level. To satisfy all the constraints, the masses of the heavy triplet-like Higgs bosons must be nearly degenerate. The evolution of the Higgs doublet quartic coupling $$\lambda _{H}$$

λ
H

can be prevented from being negative up to the Planck scale.
HEP-Frame: an efficient tool for big data applications at the LHC
Authors: Pereira André , Onofre António , Proença Alberto
Published: March 2023

HEP-Frame is a new C++ package designed to efficiently perform analyses of datasets from a very large number of events, like those available at the Large Hadron Collider (LHC) at CERN, Geneva. It mainly targets high-performance servers and mini-clusters, and it was designed for natural science researchers with a user-friendly interface to access structured databases. HEP-Frame automatically evaluates the underlying computing resources and builds an adequate code skeleton when creating a data analysis application. At run-time, HEP-Frame analyses a sequence of datasets exploring the available parallelism in the code and hardware resources: it concurrently reads inputs from a user-defined data structure and processes them, following the user-specific sequence of requirements to select relevant data; it manages the efficient execution of that sequence; and it outputs results in user-defined objects (e.g., ROOT structures), stored together with the used input dataset. This paper shows how a domain expert software development can benefit from HEP-Frame, and how it significantly improved the performance of analyses of large datasets produced in proton-proton collisions at the LHC. Two case studies are discussed: the associated production of top quarks together with a Higgs boson ($$t\bar{t}H$$tt¯H) at the LHC, and a double- and single-top quark productions at the high-luminosity phase of the LHC (HL-LHC). Results show that the HEP-Frame awareness of the analysis code behaviour and structure, and the underlying hardware system, provides powerful and transparent parallelization mechanisms that largely improve the execution time of data analysis applications.
Routability-driven Power/Ground Network Optimization Based on Machine Learning
Authors: Huang Ping-Wei , Chang Yao-Wen
Published: March 2023

The dynamic IR drop of a power/ground (PG) network is a critical problem in modern circuit designs. Excessive IR drop slows down circuit performance and causes potential functional failures. Most industrial practices tend to over-design the PG network for the dynamic IR drop constraints, reducing routing resources and incurring routing congestion. Existing machine learning-based approaches target only dynamic IR drop prediction without considering the routability affected by the P/G network. This article develops a machine learning-based method to solve the dynamic IR drop and routing resources tradeoffs. Our model can predict the two targets accurately by adopting a multi-task learning scheme, achieving a 0.99 high correlation coefficient. We show that our trained model is generalizable by testing different placement results. Our algorithm also achieves significant speedups of up to 29× compared to the time-consuming dynamic IR drop simulation by a leading commercial tool. Experimental results show that our algorithm can save about 13% routing resources without worsening the dynamic IR drop peak value.
Cataract Prevalence and Its Associated Factors among Adult People Aged 40 Years and above in South Ari District, Southern Ethiopia
Authors: Wolde Kentayiso Temesgen , Alto Agune Ashole , Abebaw Zeleke , Misker Direslgne , Godana Boynito Wanzahun
Published: March 2023

Background. Cataract is the leading cause of blindness in Ethiopia. However, the treatment was only surgery; the expected person could not use the surgical service. So far, the World Health Organization’s goal of 2,000 people using the treatment out of a million people could not be met. Objective. The aim of this study was to assess the prevalence of cataract and factors associated with among adult people aged 40 years and above in South Ari district of South Omo Zone, Ethiopia. Method. A community-based cross sectional study was conducted in South Ari district of South Omo Zone, Ethiopia; samples were selected using simple random sampling and eye examination. Data were collected using pretested structured questionnaires. Data quality was ensured by daily supervision completeness and consistency. The data were coded, entered, and cleaned by using Epi.info version 7 and were analyzed by using SPSS version 20. Bivariate and multivariable analysis was carried by binary logistic regression. Significances were declared by using a p value of <0.05 and AOR of confidence intervals. Result. In this study, the prevalence of cataract was found to be 7.8% (95% CI: 5.0–10.6). There is an increased chance of developing cataract among females (AOR 3.52; 95% CI: 1.39–8.83), individuals with known history of hypertension (AOR 4.5; 95% CI 1.56–13.21), adults aged 70–79 years (AOR 5.07 95% CI: 1.09–23.62), and adults aged 80 years and above (AOR 6.01; 95% CI: 1.29–27.92). Conclusions. Cataract prevalence was found to be high among the study participants. Age, sex, and known history of hypertension were factors associated with cataract.
Personalized Route Recommendation with Hybrid Tabu Search Algorithm Based on Crowdsensing
Authors: Han Baoting , Zheng Xiaoyao , Guan Manping , Sun Liping , Zhang Yue
Published: March 2023

In the postmodern era of tourism, tourists’ behavior has undergone a substantial change and the demand of customized experience dominates the tourism market. The traditional single‐objective travel route recommendation method fails to meet the multiobjective needs of users. To handle this problem, a multiobjective hybrid tabu search algorithm for urban travel route recommendations is proposed in this paper. First, the rating and level of attractions, as well as the corresponding information of hotels and restaurants within a certain radius, are considered. Then, based on this information, a crowdsensing scoring method is established. Second, the hybrid particle swarm genetic optimization algorithm is exploited to generate a single‐object route, and the fast nondominated Pareto sorting algorithm is exploited to find the optimized solution. Then, the hybrid tabu algorithm is used to optimize the personalized route chosen according to multiple objects set by users. This algorithm combines the global search ability of the genetic algorithm and the neighborhood search ability of the tabu algorithm to prevent convergence from falling into a local optimum. Finally, the experiments are conducted on the real‐world data collected from the Dianping and Ctrip web sites. The comparison with baseline algorithms indicates that the algorithm proposed in this paper provides accurate and reasonable route recommendations for users.
Removal of a Horizontally Displaced Dental Implant below the Mandibular Canal
Authors: Fakih Khodor Ahmed , Edreva Maria Stiliyanova , Stoichkov Biser Borisov
Published: March 2023

A clinical case of a horizontally displaced dental implant, which moved below the level of the mandibular canal during surgery is presented together with a brief review of the comparable published cases. The bone mineral density and the morphology of the alveolar ridge were analyzed at the site of osteotomy, and the low bone density of

265.32
±
86.41

Hounsfield Units was found in the area. The factors related to implant displacement were: the anatomical features of bone structure, and the applied mechanical pressure during the implant insertion. The displacement of the dental implant below the level of the mandibular canal during implantation can be a severe complication. Its removal requires the safest surgical approach to avoid damaging the inferior alveolar nerve. The description of one clinical case does not provide grounds for drawing definite conclusions. To avoid similar incidents, detailed radiographic assessment before implantation is necessary; it is also important to follow the surgical protocols of implant placement into soft bone and to create conditions for a good visibility and sufficient control of bleeding during surgery.
Identification of Anomaly Detection in Power System State Estimation Based on Fuzzy C-Means Algorithm
Authors: Leng Di , Qiu Ziliang
Published: March 2023

In order to estimate the power system accurately and identify anomaly detection in real time, an identification method of anomaly detection in power system state estimation based on Fuzzy C-means algorithm is proposed. Considering the problems of scale and redundancy of power system measurement data, effective measurement data of the power system is extracted by the principal component analysis method. On this basis, the power system state estimation model established by particle swarm optimization support vector machines is used to judge the operational state of the power system. An anomaly detection identification method based on fuzzy C-means algorithm is proposed to cluster the measured data and identify the anomaly detection of power system. The experimental results show that this method can accurately estimate the state of the power system and has the highest identification accuracy for anomaly detection compared with similar methods. When the equivalent measurement data is affected by noise, the identification delay of this method for anomaly detection in a power system is 1 s, and the real-time performance is high.
A Survey of Neck Pain among Dentists of the Lebanese Community
Authors: Kawtharani Abed AlRaouf , Msheik Ali , Salman Fadi , Haj Younes Ali , Chemeisani Ammar
Published: March 2023

Background and Objectives. In the area of dentistry, musculoskeletal disorders (MSDs), particularly neck discomfort, are significant occupational health hazards. The purpose of this study was to ascertain how neck pain affected the capacity and productivity of dental practices. Additionally, it examined the advantages of preventive measures in lessening pain intensity and rated the degree of dentists’ incapacity. Subjects and Methods. This study used a cross-sectional survey design to examine how neck pain affected dentists’ ability to work and their productivity between July 2022 and November 2022. The study included 342 dentists from all around Lebanon. An online validated survey was designed, and the data collection process was performed via direct calls and emails where the survey link was shared. Data included demographic characteristics, gender, type, and duration of the dental practice, which were presented by the toll of hours of work per week, general health status, exercise habits, and Neck Disability Index (NDI). The weight of the participants was not included in the study. The statistical analysis was performed using IBM SPSS version 25. Results. The majority of participants were between the ages of 25 and 35, and the gender distribution of the demographic distribution was comparable. The prevalence of pain was 86.8% (97/342 dentists). NDI analysis showed that 65.7% had mild disability, 12.8% have a moderate disability, and 1% had severe disability. Bivariate analysis showed that pain was affected by age (

p
=
0.013

), orthodontist practices (

p
=
0.031

), regular exercise (

p
<
0.001

), using vibrating instruments (

p
<
0.001

), cervical flexion for better vision while working (

p
<
0.001

), knowledge, and experience about ergonomic posture (

p
<
0.005

). Multivariate analysis showed four predictors for pain: age (

p
=
0.017

), performing stretching exercises after finishing clinical practice (

p
=
0.022

), orthodontist specialty (

p
=
0.029

), and performing cervical flexion for better vision while working (

p
=
0.004

). Conclusion. This study showed that through the application of some strategies such as stretching, exercising, and being careful in using vibrating instruments, the dentist may be able to relieve the pain.
miR-21-5p Inhibits Ferroptosis in Hepatocellular Carcinoma Cells by Regulating the AKT/mTOR Signaling Pathway through MELK
Authors: Hu Zongqiang , Li Laibang , Li Ma , Zhang Xibing , Zhang Yu , Ran Jianghua , Li Li
Published: March 2023

Background. Hepatocellular carcinoma (HCC) is one of the most prevalent cancers, and its incidence rate is increasing worldwide. At present, there is no ideal treatment for HCC. In recent years, molecular-targeted therapy has shown significant therapeutic benefits for patients. Ferroptosis is a modality of regulated cell death, and previous studies have found that inducing ferroptosis in liver cancer cells can inhibit the progression of liver cancer. The aim of this study is to investigate the regulatory mechanism of miR-21-5p in regulating ferroptosis in HCC cells. Methods. CCK-8 was used to measure cell viability, EdU and colony formation were used to measure cell proliferation, and Transwell assays were used to measure cell migration and invasion. RT-qPCR was used to detect the level of miR-21-5p, Western blotting was used to detect the protein expression level, a dual-luciferase reporter gene assay was used to determine the targeting relationship between miR-21-5p and MELK, and coimmunoprecipitation was used to determine the interaction between MELK and AKT. Results. Overexpression of miR-21-5p and MELK facilitated the viability, proliferation, colony formation, invasion, and migration of HCC cells. Downregulation of miR-21-5p suppressed the level of MELK and the progression of HCC. MELK regulated the AKT/mTOR signaling pathway, causing changes in the levels of GPX4, GSH, FTH1, xCT, heme oxygenase 1(HO-1), reactive oxygen species, and Fe2+ to regulate the ferroptosis of hepatoma cells. Erastin, an inducer of ferroptosis, attenuated the repressive influence of miR-21-5p on ferroptosis in HCC cells. Conclusion. In summary, this study demonstrates that miR-21-5p inhibits the ferroptosis of HCC cells by regulating the AKT/mTOR signaling pathway through MELK.
Clinical Effect and Aesthetic Evaluation of Minimally Invasive Implant Therapy
Authors: Li Kefei , Liu Fang , Liu Pan , Wei Cuifang , Li Xue
Published: March 2023

Objective. To explore the clinical effect and aesthetic evaluation of minimally invasive implant in the treatment of dentition defect. Methods. From April 2020 to May 2021, 60 patients who received implant restoration were collected as the research objects. Randomly divided into minimally invasive surgery group (30 patients) and routine surgery group (30 patients). The postoperative antibiotic use time, pain disappearance time, swelling degree, and pain degree of the two groups were compared. Follow-up for one year, record and compare the success rate of implants and aesthetic evaluation of restoration between the two groups. The evaluation of patients’ satisfaction with restoration was collected and compared. Results. The operation time and antibiotic use time of patients in minimally invasive surgery group were significantly shorter than those in conventional surgery group, and the swelling degree rating was significantly better than that in conventional surgery group, with statistical significance (

P
<
0.05

). The number of patients with no pain (0 degree) and mild pain (degree) in minimally invasive surgery group was significantly higher than that in routine surgery group, and the difference was statistically significant (

P
<
0.05

). One year after the repair, the success rate of implants in minimally invasive surgery group was 100.00% compared with that in routine surgery group (93.33%), and the difference was not statistically significant (

P
>
0.05

). The aesthetic effect scores of patients in minimally invasive surgery group were higher than those in routine surgery group in seven items: proximal gingival papilla, distal gingival papilla, labial gingival margin curvature, labial gingival margin height, root convexity, soft tissue color, and soft tissue texture, with statistical significance (

P
<
0.05

). The satisfaction scores of the patients in minimally invasive surgery group in chewing function, comfort, aesthetics, retention function, and language function were higher than those in conventional surgery group, and the differences were statistically significant (

P
<
0.05

). Conclusion. Minimally invasive implant can achieve the same effect as conventional implant, and it has the advantages of lower postoperative swelling, shorter pain time, better aesthetic effect, and higher satisfaction after restoration.
Development of Grain-Based Protein Rich Extruded Snack Foods Using D-Optimal Mixture Design
Authors: Mangaraj Shukadev , Nishad Praween , Thakur Rajeev Ranjan , Deshpande Sumedha , Sami Rokayya , Aljahani Amani H. , Alzahrani Fatimah , Almutairi Khalid , Helal Mahmoud
Published: March 2023

In developing nations, malnutrition is one of the main factors contributing to child mortality. To tackle this threat, the development of grain-based, protein-rich, and nutrient-dense extruded foods has been suggested. In this study, 16 experiments were generated using D-optimal mixture
design and, the blending ratios of ingredients for the development of protein rich snack food were optimized. The optimum value for independent variables corresponding to highest desirability (0.775) was recorded as 25% corn, 23.79% rice and 11.21% defatted soy flour. The value of response
variables in terms of nutritional quality of developed product viz. protein, fat, carbohydrate and energy content were found to be 20.52%, 1.34%, 55.13% and 337.23 kcal whereas, the sensory quality viz. texture and overall acceptability were obtained as 5.78 N and 7.53, respectively. The product
packaged in PET/PET-MET/LDPE was found to be safe for consumption up to six months.
Long Term Monocropping Effects Tobacco Yield by Regulating Rhizosphere Allelochemicals and Microbial Community
Authors: Pan Yihong , Ji Xinwei , Zhou Fangfang , Li Xiaoting , Zhang Xiaolong , Peng Qiulian , Zhang Jiayan
Published: March 2023

Long term monocropping is considered to change soil chemical properties and affect the yield. It is significant to study the relationship among soil character, rhizosphere microorganism and crop yield under long term monocropping, to clarify the mechanism of monocropping obstacle. In
this work, a continuous cropping area of tobacco in Southwest China was selected, in which Nicotiana tabacum cv. Yunyan87 was planted. The disease incidence, yield, soil properties, rhizosphere allelochemicals and microbial community were determined in the mature phase of tobacco with
treatments for 2 (MCC2), 3 (MCC3), 4 (MCC4), 5 (MCC5), and 15 years (MCC15) of continuous cropping. In the results, the continuous cropping barrier was serious in the first 5 years, however, after 15-year continuous cropping, the yield was gradually recovered, and the soil-borne diseases were
significantly inhibited. In terms of allelochemicals, the concentration of myristic acid increased with the time of monocropping, except for MCC15. Additionally, 2,2′-methylene bis-(4-methyl-6-tert-butylphenol) and dioctyl phthalate were lower in MCC15 than other treatments. After different
monocropping years, the structure of bacterial community was distinct, with no significant differences in diversity index. For bacteria, the dominant phyla in all the treatments were Proteobacteria, followed by Acidobacteria, and Actinobacteria. In addition, in MCC15,
showed relative abundances in beneficial bacterial genera like Sphingomonas and Gemmatimonas, that are involved in disease suppression and plant growth, were increased. For fungi, the dominant phyla in all the treatments were Ascomycota, followed by Mortierellomycota.
Moreover, compared with MCC5 treatment, the relative abundance of pathotroph in MCC15 treatment decreased by 31.52%, the relative abundance of saprotroph increased by 31.90%. The relative abundance of potential pathogen fusarium in rhizosphere soil was the highest at the mature stage
of tobacco crop rotation (MCR). Hence, different from the short-term monocropping, the 15-year long-term tobacco monocropping showed a gradual restoration of microbial community structure and specific genera, while reducing the accumulation of specific allelochemicals, thus relatively recovering
the yield. It is expected to provide a reference for further understanding the mechanism of continuous cropping obstacle.
Optimization of Milling Characteristics of Kodo and Little Millet for Development of Value-Added Products
Authors: Deshpande Shashikumar Dattatraya , Nishad Praween , Mangaraj Shukadev , Thakur Rajeev Ranjan , Khojah Ebtihal , Sami Rokayya , Aljahani Amani H. , Helal Mahmoud
Published: March 2023

The current research aimed to improve the milling quality of millets by applying hydrothermal pre-treatment. The pre-treatment parameters taken were; soaking temperature (30 to 70 °C) and soaking time (1–3 h). After drying the pre-treated millets up to 10–12% (w.b.)
moisture content, the millets were milled and the milling qualities were assessed. The optimum values of soaking temperature and time were recorded as 61.29 °C and 2.92 h and, 65.36 °C and 2.98 h for Kodo millet and Little millet, respectively along with corresponding
values of dehulling and milling efficiency as 92.94 and 69.7% and, 89.55 and 63.91%. Thereafter, the pre-treated millets at optimized conditions were taken for the determination of cooking characteristics and development of value-added product. The developed products were found to be nutritive
and, were highly appreciated by the expert during its sensory evaluation.
Preparation and Influence Mechanism of High-Efficiency Bamboo-Based Conductive Carbon Powder by One-Step Carbonization
Authors: Lin Jintian , Liu Huan , Wang Siqun , Huang Jingda , Zhang Wenbiao
Published: March 2023

Conductive carbon materials from biomass have recently attract scholars’ interest, but their preparation usually requires both high carbonization temperature and multiple carbonization process. To solve the above problems, bamboo industrial powder (BP) waste was used as raw materials
and mixed directly with FeCl3 as the catalyst, followed by conducting pyrolysis and one-step carbonization to prepare conductive carbon powder. Influence of the mass ratio of BP to FeCl3, carbonization temperature and carbonization time on the conductivity of BC was surveyed.
According to comprehensive performance of the resulting bamboo charcoal (BC), the best conditions were identified as carbonization at 1300 °C for 2 h with the mass ratio of BP to FeCl3 for 50:1. Under the conditions, the graphite structure transformed from amorphous structure
was confirmed by XRD and Raman. And the well-defined lattice fringes were observed and presented as the curve structure with the spacing of 0.340 nm, which was the sign of the graphitic structure. Under optimal conditions, the conductivity value reached 38.08 S·cm−1.
This work provides a theoretical basis for the formation of highly graphitized BC from bamboo in one-step method and the highly value-added conductive BC has a potential application in electromagnetic shielding and electrochemistry.
Simulation and Experimental Study on the Low NOx Combustion of 35 Kw Biomass Boiler with Air Staging
Authors: Song Xiangyu , Li Jifeng , Sun Huiping , Ma Jinshuang , Xu Yongchao , Zhang Yifan
Published: March 2023

In the present research, numerical simulations and combustion experiments were carried out using a 35 kW biomass low nitrogen combustion furnace. For this purpose, the boiler structure and fluid area in the furnace were modeled. Subsequently, the grid was divided and the parameters
such as speed and pressure were set using Gambit. Then, the model was introduced into Fluent in order to simulate the combustion process and for flow field output and analysis. By analyzing the distribution and changes in temperature field, velocity field, and NOx concentration field under
different air supply schemes, and performing low nitrogen combustion experiments, the influence of different air supply schemes on fuel combustion and NOx emission was determined. Through the mutual verification of simulation and experimental research, the optimal air distribution scheme was
obtained. The results showed that: without the air staged combustion, combustible gas and air were not properly mixed. As a result, the loss of mechanical incomplete combustion occurred. Under air-staged combustion, the addition of the secondary air reduced the “chimney flow” phenomenon
in the furnace to a certain extent. The combustible gas and air were mixed more adequately and the reaction rate and efficiency significantly increased. In addition, with the introduction of the secondary air, the air and the flue gas in the furnace were more efficiently mixed. Moreover, the
temperature in the upper combustion area of the furnace decreased by 300–500 K, which slowed down the rate of nitrogen oxides production. This effect was intensified when the proportion of the secondary air increased. The status of the combustion process and changes in the concentration
of NOx in the flue gas were compared and analyzed under various working conditions. Data indicated that the optimal air distribution scheme was that with 70% of the primary air and 30% of the secondary air. In this case, the NOx emissions were 27% lower than those without the air staged combustion.
Screening of Fatty Acids Profile and Antioxidant Activities with the Antibacterial Activities of Saussurea costus Essential Oil
Authors: Kadi Roqayah H.
Published: March 2023

The essential oil of Saussurea costus trunk and the roots contains important amount of polyphenols; alkaloids and terpenes. The S. costus was milled into powder for lipid extraction, fatty acid profile and antiradical approach at several concentrations (1000, 800, 400,
200 μg mL−1) using DPPH radical scavenging capacity. Escherichia coli, Staphylococcus aureus, Staphylococcus sciuri, Salmonella typhi, Pseudomonas aeruginosa and Salmonella enterica were used as bacteria growth indicators for antibacterial
activities. 18 fatty acid concentrations (by percentage) were evaluated in the fatty acid profile. The major fatty acid was (9,12,15-Octadecatrien-1-ol,(Z, Z, Z)) which recorded (18.59%) followed by (Eremanthin) 14.70% and (Bicyclo[4.4.0]dec-2-ene-4-ol, 2-methyl-9-(prop-1-en-3-ol-2-yl)) 11.86%.
(Gama-eudesmol) recorded the lowest value 0.07%, while (Furoscrobiculin B), (Iso-Velleral), and ((-)-Spathulenol) 0.08% were the minor fatty acids in S. costus. The results presented a relatively larger amount of (Hexadecanoic acid, methylester (CAS)) and (à-Ionone) from 8.26%–1.55%,
respectively. S. costus at 1000 μg mL−1 concentration exhibited the highest antioxidant activity. S. costus extract reported high antioxidant activity with high amounts of essential fatty acids. S. costus as a medicinal plant proved to be highly
active due to its phytochemical bioavailability. Results revealed that the highest zone of inhibition 22.10 mm was detected by 50 μl/mL for Staphylococcus aureus which was the most sensitive, while Salmonella typhi recorded the lowest zone of inhibition 9.92 mm by 10
μl/mL which as the most resistance. Additional researches are on animals are required to confirm the beneficial effects of the plant extract.
Dynamic Characteristics of Rhizosphere Bacteria Communities During Different Growth Stages of Strawberry
Authors: Yi Sheng-Yue , Chen Ze-Bin , Xu Sheng-Guang , Fan Zhi-Wei , Lin Li , Su Yuan , Jiang Ming-Xing , Ruan Ya-Nan
Published: March 2023

The rhizosphere, directly influenced by root systems of plant, plays a significant role in plant-microbe interactions, which in turn directly affect the plants. In this work, the dynamic characteristics of rhizosphere bacterial communities during the growth period of cultivated strawberry
(Fragaria×ananassa ‘Hongyan’) were investigated, and the dominant bacterial species in different growth stages were identified. High-throughput sequencing (HTS) was employed to obtain operational taxonomic unit (OTU) abundance, bacterial community diversity,
and abundance of rhizosphere bacteria at five growth stages of strawberry: growth period (A1.1), budding period (A2.2), flowering period (AB3.2), fruiting period (AB4.1) and mature fruit period (AB5.2). The composition and abundance of bacterial communities structure were analyzed using the
unweighted pair group method with arithmetic means (UPGMA) cluster analysis. The result indicated that, in the flowering stage the bacterial community exhibited the highest diversity and richness, while the bud stage had the least. The flowering stage showed a greater specific bacteria species
in the strawberry rhizosphere, followed by growth, mature and harvest stages, and the lowest in the bud stage. The main dominant phyla were Actinobacteria, Proteobacteria and Acidobacteria, accounting for over 70% of the total bacterial abundance. The main dominant genera
were Alcanivorax, Kaistobacter, Marinobacter and Candidatus Nitrososphaera. The bacterial abundance similarity was relatively high in the growth and harvest stages, as well as in flowering and mature stages, while it differed greatly from that of the bud stage. In conclusion,
the difference in bacterial diversity between bud stage and flowering stage was the greatest, with the Chao1 index and Shannon index increased by 79.35 and 6.74%, respectively. The rhizosphere bacterial community richness and diversity were highest at the flowering stage (AB3.2), with 198
specific OTUs accounting for 7.48% of the total OTUs. At the phylum level, the bacterial abundance of Proteobacteria, Acidobacteria and Actinobacteria were greatly affected by the developmental stage. These findings suggest that the bacterial diversity of strawberry rhizosphere
will change with the growth stage.
“If I Could Turn Back Time”: Occupational Dynamics, Technology Trajectories, and the Reemergence of the Analog Music Synthesizer
Authors: Nelson Andrew , Anthony Callen , Tripsas Mary
Published: March 2023

There are numerous examples of the reemergence of old technology, such as vinyl records and film cameras. Yet, the literature on technology trajectories has focused almost exclusively on linear models of technology progression, and we have little understanding of the processes that may instead drive reemergence. In fact, no prior research has examined how users’ occupational considerations may shape technology trajectories, despite a large literature on how occupations condition interactions with technological tools. This article sheds light on these processes through an inductive study of the music synthesizer industry’s shifts from analog to digital and back to analog technology. Leveraging more than 40 years of data, we trace the relationship between technological developments and synthesizer players’ occupational meaning. While synthesists initially embraced the ease of use and novelty of digital’s black-boxed preset sounds, widespread adoption of digital sounds ultimately undermined musicians’ occupational goal of distinctive creative expression. In response, synthesists articulated preferences for technology that afforded control, enabling them to use their expertise to create sounds, and that provided an embodied connection with the tool. Synthesists associated these affordances with analog rather than digital instruments, leading to renewed demand for analog and the reemergence of a formerly displaced technology. Our work integrates occupational considerations into the literature on technology trajectories, uncovers new mechanisms that can underlie technology reemergence, and extends the literature on occupations and technology.
The use of implementation science to close the research-to-treatment gap for cognitive impairment in psychosis
Authors: Zbukvic Isabel , Bryce Shayden , Moullin Joanna , Allott Kelly
Published: March 2023

For people living with psychosis, cognitive impairment is common and can have significant impacts for functional recovery, impacting engagement with treatment and quality of life more broadly. There is now strong evidence for the effectiveness of cognition-focused treatments, such as cognitive remediation to improve clinical and functional outcomes for people with psychosis. However, engagement with treatment has been a long-standing issue in mental health care, including for people with psychosis, who often experience difficulties with motivation. While research on clinical effectiveness of cognition-focused treatment is growing, to date there has been little research focused on the implementation of such treatments and it is not clear how best to support uptake and engagement across diverse mental health settings. Implementation science is the study of methods and strategies to promote the adoption, application, and maintenance of evidence-based practices in routine care. To integrate cognition-focused treatments into routine practice, and improve engagement with treatment and the quality and effectiveness of care for people with psychosis, researchers need to embrace implementation science and research. This paper provides a succinct overview of the field of implementation science, current evidence for implementation of cognition-focused treatments for psychosis and practical guidance for using implementation science in clinical research. The future of psychosis research includes multidisciplinary teams of clinical researchers and implementation scientists, working together with providers and consumers to build the evidence that can improve the implementation of cognition-focused treatments.
Brachial Plexus Birth Injury: A Single-Center Study
Authors: Caron Elena , Gienapp Andrew J. , Files Helen , Ridley-Pryor Tracee
Published: March 2023

Infants can sustain traction injury to brachial plexus nerves during birth, called brachial plexus birth injury (BPBI). While spontaneous recovery is possible, upper extremity weakness can linger. We report our experience at a brachial plexus clinic from a retrospective chart review of infants with BPBI from September 2017 to September 2019. We determined Narakas Classification (NC) and Active Movement Scale (AMS) at predetermined follow-up points. Of 15 patients, 8 presented with NC-I, 5 with NC-II, and 2 with NC-III without Horner’s syndrome. By 7 months, 3 had spontaneous recovery, and 4 achieved all and another 4 achieved most AMS5-7 scores. Eleven patients undergoing surgery had little-to-no improvement of shoulder abduction and shoulder external rotation AMS categories by 6 months. Our small sample size prevents us from making definitive conclusions but gave beneficial insight into our clinic barriers to follow-up, data collection, and collaboration with physical and occupational therapy.
Wear debris measurement in lubricating oil based on inductive method: A review
Authors: Yang Shimin , Cao Nan , Yu Bing
Published: March 2023

Almost all of the wear debris generated during the operation of the machine is suspended in the circulating lubricating oil. The analysis of the wear debris in the lubricating oil can effectively monitor the wear state of the machine and provide early warning of failures. An overview on inductive sensors for measuring wear debris in lubrication is introduced. To begin with, the significance of analyzing the wear debris in lubricating oil is explained and the working principle of the inductive wear sensors is illustrated. Furthermore, the development of inductive wear sensors and the key limitations are summarized. Finally, some rest factors affecting the sensor and the processing method of the induction signal aliasing are discussed, and the future development trend is prospected. It is pointed out that developing high sensitivity wear debris inductive sensors, increasing sensor throughput, and solving the problem of aliasing of detection signals are the following issues that should be further studied in the future.
Effect of fabrication method on the physical properties of carbon-nanotube/silicone-rubber nanocomposite in high-voltage insulators
Authors: Mohammadnabi Saman , Rahmani Khosrow
Published: March 2023

Effects of fog condensation and fine dust on the high-voltage insulator surface are harmful. The insulator housing material (silicone rubber) must be changed in order to allow a controlled leakage current to flow on the surface and causes Joule heating effect. Accordingly, surface temperature of the insulator is increased and fog condensation on the insulator surface is prevented. For this purpose, silicone rubber - multiwalled carbon nanotubes (MWCNT) nanocomposites (SRCNT) were prepared using two different processes: a solution-blending (SB) method and a dry-state of melt-blending (MB) method. Field Emission Scanning Electron Microscopy (FESEM) images indicated that the MWCNT dispersion in silicone rubber matrix of SRCNT samples produced by SB method is much better than that of MB method. Fourier Transform Infrared (FTIR) spectroscopy determined the possibility of a greater reduction in hydrophobicity properties in the sample prepared by the SB method compared to the sample made by the MB method, and the contact angle measurements confirmed this expectation. Furthermore, in a same MWCNT concentration, the electrical conductivity of SRCNT samples prepared by SB method are greater than those produced by MB method. Results showed that MB is a high efficient method for producing the SRCNT in a large amount.
From College to Classroom: Using Virtual Collaborative Inquiry to Support First-Year Teachers With Classroom Management
Authors: Lahey Trace
Published: March 2023

This study describes an initiative to support first-year teachers and address the following questions: During a year-long, asynchronous support/study group to help first-year teachers with classroom management, what SEL practices would the teachers identify as effective in supporting their classroom management and what SEL competencies would those practices help their elementary and secondary students develop? Data were collected from questionnaires and wiki space discussions. Findings demonstrate that the first-year teachers’ initial conceptions of classroom management became increasingly aligned with the ways in which culturally responsive SEL practices can support classroom management and help elementary and secondary students foster important SEL competencies.
Growth Experience Bereaved of a Spouse by Cancer: Relying on Merleau-Ponty’s Reorganization of the Body Schemes
Authors: Kondo Megumi , Kihira Tomoki , Sakaguchi Yukihiro , Shimada Kazuki , Shirai Yuki , Tamura Keiko
Published: March 2023

The grief experienced by bereaved families can lead to positive changes, and its relevance to the emerging concept of posttraumatic growth has been explored. However, studies on survivors bereaved of a spouse by cancer are scarce; consequently, the nature of growth remains poorly understood. This study aimed to explore the growth experiences of survivors bereaved of a spouse by cancer. Based on Merleau-Ponty’s theory of the body, we phenomenologically analyzed narratives/qualitative data collected through interviews of 21 survivors bereaved of a spouse by cancer. The assessment of the growth of survivors bereaved of a spouse by cancer began before the bereavement, with the questioning of habits with the living spouse because of illness and prognosis announcement and/or bereavement, reaffirming the connection with the spouse, realizing that it provides emotional support, and becoming accustomed to who they are now in the new environment.
Coping With ‘Scanxiety’: Within-Person Processes in Lung Cancer
Authors: Dunsmore Victoria J. , Neupert Shevaun D.
Published: March 2023

Background: Patients with early-stage lung cancer undergo potentially curative therapy, and continue to undergo regularly scheduled CT scans to determine if cancer has reappeared, spread, or stayed the same. This process can be fraught with anxiety, coined ‘Scanxiety’. The present study examined how coping and scan-related anxiety fluctuate within-person before one’s scan. Method: Twenty five individuals with lung cancer who had received curative intent treatment (M age = 62.33, [SD = 8.10], 96% women, 80% white) participated in the study, which had two parts. First, participants provided information about proactive coping and scan-related anxiety every 30 days. Next, a daily diary study was implemented for 7 consecutive days before their CT scan, as well as the day of their CT scan, where participants reported on their daily anticipatory coping and scan-related anxiety. The 25 participants provided 59 monthly and 146 daily surveys for analysis. Results: Multilevel models revealed significant main effects of monthly proactive coping on monthly scan-related anxiety, as well as daily anticipatory coping on daily scan-related anxiety. On months when participants decreased their use of proactive coping, they also reported decreases in scan-related anxiety for that month. On days when participants reported decreases in outcome fantasy and stagnant deliberation, they reported decreases in scan-related anxiety for that day. Finally, a significant interaction was found such that on days when middle-aged adults reported increases in problem analysis, they also reported increases in scan-related anxiety for that day. Conclusion: These findings are the first to characterize how participants’ coping and scanxiety fluctuate in the months and days prior to their CT scans. Results indicated that focusing on the present may be more beneficial in reducing scan-related anxiety rather than thinking about the future. Future work should implement strategies to reduce scanxiety by focusing on the present among those with lung cancer.
Intercorporeality in visually impaired running-together: Auditory attunement and somatic empathy
Authors: Allen-Collinson Jacquelyn , Hall Dona L. , Jackman Patricia C.
Published: March 2023

Given their salience in many sports and physical cultures, it is surprising that the practices, processes and production of intercorporeality and ‘doing together’ remain under-explored from a sociological perspective. The ongoing achievement of ‘togethering’ can be particularly important for the embodied partnership between a visually impaired (VI) runner and a sighted guide (SG) runner: a specific sporting dyad whose experiences are currently under-researched. To address this lacuna and contribute original insights to sensory sociological studies, here we explore the accomplishment of running-together by VI runners and sighted guides, focusing on the auditory dimension. To illustrate how these runners put the sense of hearing ‘to work’ in achieving finely attuned intercorporeality, often at considerable speed, we draw on qualitative data from a research project on VI running in the UK, involving five VI runners and five SGs. Here, we focus on auditory attunement in two domains identified as highly salient in the running-partners’ intercorporeal experiences: (1) Listening out – auditory attention to non-linguistic sounds; and (2) Tuning in – the importance of attending to team-talk between VI runners and SG runners.