bluuebunny/crossref_metadata_2025 huggingface dataset:
A dual rigid donor and acceptor enabling red thermally activated delayed fluorescence emitters for efficient OLEDs with low efficiency roll-off
Authors: Fan Jinming , Miao Jingsheng , Li Nengquan , Zeng Yitong , Ye Changqing , Yin Xiaojun , Yang Chuluo
Published: July 2022

Dual rigid triazatruxene donors and phenanthropyrazine or phenanthroquinoxaline acceptors were incorporated to construct high-performance red/deep-red thermally activated delayed fluorescence emitters with low-efficiency roll-off.
Preschoolers Have Difficulty Discriminating Novel Minimal-Pair Words
Authors: Creel Sarah C.
Published: July 2022

Purpose:

The primary aim was to assess whether children have difficulty distinguishing similar-sounding novel words. The secondary aim was to assess what task characteristics might hinder or facilitate perceptual discrimination.

Method:

Three within-subjects experiments tested ninety-nine 3- to 5-year-old children total. Experiment 1 presented two cartoon characters each saying a novel word. Children were asked to report whether they said the same word or different words. Words were identical (e.g., deev/deev), were dissimilar (deev/vush), differed in onset consonant voicing (deev/teev), or differed in vowel tenseness (deev/div). Experiment 2 added accuracy feedback after each trial to remind children of task instructions. Experiment 3 interspersed many “same” trials containing a repeating standard word to assess the role of bottom-up stimulus support on difference detection.

Results:

The
d′
scores were highest for dissimilar words, next highest on different-vowel pairs, and lowest on different-consonant pairs. Performance was better with repeated standard stimuli (Experiment 3) than without (Experiment 1). Benefits for repeated task instructions (Experiment 2) were marginal. Exploratory analyses comparing these results to findings in a word-learning study using the same stimuli suggest an imperfect match to how easily children can learn similar-sounding words.

Conclusions:

Overall, similar-sounding novel words are challenging for children to discriminate perceptually, although discrimination scores exceeded chance for all levels of similarity. Clinically speaking, same/different tests may be less sensitive to sound discrimination than change/no-change tests.

Supplemental Material:

https://doi.org/10.23641/asha.20151848
Hybrid millimetre‐wave channel simulation approach based on long short‐term memory networks
Authors: Fu Zihao , Zhang Yu , Shi Ruibo , Zhao Xiongwen , Du Fei , Geng Suiyan
Published: July 2022

In order to overcome the disadvantages of traditional channel simulation approaches and achieve more accurate millimetre‐wave (mmWave) channel simulation under the condition of limited measured data, a novel Long Short‐term Memory Networks (LSTM) based hybrid mmWave channel simulation approach is proposed in this work. The proposed hybrid approach takes advantages of LSTM‐based time‐varying model of path loss and large‐scale channel parameters, statistical model of intra‐cluster multipath parameters and ray tracing, which are able to accurately simulate path loss, large‐scale channel parameters, multipath parameters and channel impulse responses, respectively. Based on the mmWave channel data measured in the waiting hall of Qingdaobei Railway Station, it is verified that the simulation results of our proposed hybrid approach are in good agreement with the measured data and better than that of existing channel simulation approaches. The hybrid channel simulation approach proposed in this work has important application value for channel modelling and simulation in the case of small amount of data.
Improved mayfly algorithm based on hybrid mutation
Authors: Zhang Hua , Liu Zheng , Gui ShiWeng , Zou Mei , Wang PeiYuan
Published: July 2022

To improve the diversity and performance of the mayfly algorithm (MA), this letter adopts the mutation strategies in the process of MA. The opposition‐based learning (OBL) and Cauchy mutation strategies are used to mutate the global optimal solution, and the artificial mutation operator is used in the offspring population. The hybrid mutation strategies are used in a cascaded structure. The performance of the proposed algorithms is demonstrated in simulations comparatively.
Analysis, design and implementation of a high step‐up multi‐port non‐isolated converter with coupled inductor and soft switching for photovoltaic applications
Authors: Taheri Donya , Shahgholian Ghazanfar , Mirtalaei Mohammad Mehdi
Published: July 2022

In this paper, a new structure of a non‐isolated multi‐input converter is presented that is capable of generating high voltages to increase the efficiency of the converter, which uses a combination of a coupled inductor and a voltage multiplier cell. By combining these two methods, it is possible to use switches with low voltage stress and therefore low conductivity. This type of structure is suitable for photovoltaic (PV) applications. The proposed converter has two distinct phases for each input, which can be used to properly control the energy received from each source using two separate phases. The performance of the proposed converter depends on the charging or discharging mode of the energy storage system (ESS). To design a high step‐up non‐isolated multi‐input converter, first the structure and performance of the proposed converter are thoroughly investigated. The exact design method is presented for the correct operation of the converter and the simulation results for different modes of the converter operation are shown. Finally, in order to confirm the accuracy of the simulation results of the proposed converter, a laboratory sample of the proposed converter to supply a 400 W–400 V load is implemented and a comparison between the theoretical and practical results is performed.
An automatic breast computer‐aided diagnosis scheme based on a weighted fusion of relevant features and a deep CNN classifier
Authors: Gargouri Norhène , Mokni Raouia , Damak Alima , Sellami Dorra , Abid Riadh
Published: July 2022

Mammography continues to play a central part in the early breast masses diagnosis and has raised several challenges in breast cancer detection. Nevertheless, it remains still difficult to detect abnormalities in a dense breast and some benign lesions may have similar appearance with masses. This study proposes a novel Computer‐Aided Diagnosis (CADx) allowing benign and malignant mass classification. Accordingly, relevant textural‐shape descriptors are proposed, which is the aggregation of a new Local Binary based feature, namely the Monogenic Gray Level and Local Difference (MGLLD), where both texture characteristics and breast tissue density information, and the Zernike moments are incorporated. A heuristic algorithm is then devised for optimizing the proposed features with respect to inter‐class and intra‐class distribution, by a convenient ponderation. Then, a set of classifiers are applied for opting to the best decision making solution. The Deep CNN yields the best accuracy, with an Area Under Curve (AUC) of 0.98 on Curated Breast Imaging Subset of DDSM (CBIS‐DDSM). In addition, the authors are based on a subjective approval of the extracted Region Of Interest (ROI) by experts in radiology. The proposed scheme proves its effectiveness especially on some challenging breast cancer cases, corresponding to higher breast tissue density. In medical image processing, these results open new perspectives with respect to the use of the deep learning solutions, where the small sample‐number is known to be a limitation (because pathologies cannot be intentionally provoked).
Analysis of Factors Related to Neonatal Infection and Monitoring of
Bacterial Drug Resistance
Authors: Xu Jingwen , Zhang Yanhong , Ma Hui , Zhang Renyan , Wu Jie
Published: July 2022

Objective To study the factors related to neonatal infection, as well as
bacterial distribution and drug resistance in neonatal infections, in an
obstetrics and gynecology hospital in Shanghai.

Methods The bacterial culture and drug resistance monitoring results from
neonates treated at the hospital from January 2020 to June 2021 were analyzed
and compared with the data for children and newborns from the national bacterial
resistance surveillance report.

Results Among the 209 bacterial strains isolated from infected neonates,
90 were gram-positive, including the four most common isolates:
coagulase-negative Staphylococcus, Staphylococcus aureus, Enterococcus, and
Streptococcus agalactiae. The remaining 119 strains were gram-negative and
included Klebsiella pneumoniae, Acinetobacter baumannii, and Enterobacter
aerogenes. The drug sensitivity results showed that the methicillin-resistant
Staphylococcus aureus isolates were sensitive to linezolid, vancomycin,
rifampicin, levofloxacin, and gentamicin. All Klebsiella pneumoniaisolates were
sensitive to amikacin, ertapenem, imipenem, and gentamicin. These two strains
were resistant to other antibiotics to varying degrees.

Conclusions Understanding the distribution and drug resistance of
bacterial pathogens is vital for guiding the rational selection of antibiotics
and reducing neonatal mortality and nosocomial infections.
Binary Synergistic Combinations of Lavender and Fennel Essential Oils with Amoxicillin
Authors: Karadağ Ayşe Esra , Çaşkurlu Ayşegül , Demirci Betül , Demirci Fatih
Published: July 2022

Microbial resistance is an important problem in modern healthcare systems. In addition to drug resistance, the side effects of current antibiotic applications are also known issues. In this
present study, binary combinations of amoxicillin with European Pharmacopoeia quality lavender (Lavandula angustifolia) and fennel (Foeniculum vulgare) essential oils were
evaluated against human pathogenic microbial strains. The checkerboard method was used to quantify the efficacy of the essential oils in combination with amoxicillin. As an initial result,
remarkable in vitro antimicrobial activity was observed at relatively low amoxicillin concentrations using different oil combinations against Staphylococcus aureus ATCC 6538,
Enterococcus faecalis ATCC 29212, Bacillus cereus ATCC 14579, Escherichia coli NRRL B-3008, Salmonella typhi (clinical isolate), respectively. Fractional
inhibitory concentrations were calculated and interpreted in terms of addition, synergy, antagonism, or indifferent. A synergistic interaction with the combination F. vulgare
essential oil and amoxicillin (fractional inhibitory concentration index = 8.05 × 10−4) was observed against the pathogens E. faecalis and Escherichia coli. Both
essential oils together and in combination with amoxicillin showed a synergistic effect with possible future applications.
Role of the Mesentery in Crohn's Terminal Ileitis
Authors: Becker Marte A.J. , Does de Willebois Eline M.L. van der , Bemelman Willem A. , Wildenberg Manon E. , Buskens Christianne J.
Published: July 2022

Despite the longstanding awareness of the presence of mesenteric alterations in Crohn's disease, the functional and clinical consequences of these alterations remain a topic of debate. Guidelines advise a limited resection without resection of the adjacent mesentery to prevent short bowel syndrome and postoperative complications. However, recently mesenteric resection has been proposed as an alternative to reduce recurrence rates in Crohn's disease patients. Here, we evaluate the data available on this topic in terminal ileitis, both from a fundamental research point of view and clinical perspective.
Asymmetrical Lung Injury: Management and Outcome
Authors: Bastia Luca , Rozé Hadrien , Brochard Laurent J.
Published: July 2022

Among mechanically ventilated patients, asymmetrical lung injury is probably extremely frequent in the intensive care unit but the lack of standardized measurements does not allow to describe any prevalence among mechanically ventilated patients. Many past studies have focused only on unilateral injury and have mostly described the effect of lateral positioning. The good lung put downward might receive more perfusion while the sick lung placed upward receive more ventilation than supine. This usually results in better oxygenation but can also promote atelectasis in the healthy lung and no consensus has emerged on the clinical indication of this posture. Recently, electrical impedance tomography (EIT) has allowed for the first time to precisely describe the distribution of ventilation in each lung and to better study asymmetrical lung injury. At low positive-end-expiratory pressure (PEEP), a very heterogeneous ventilation exists between the two lungs and the initial increase in PEEP first helps to recruit the sick lung and protect the healthier lung. However, further increasing PEEP distends the less injured lung and must be avoided. The right level can be found using EIT and transpulmonary pressure. In addition, EIT can show that in the two lungs, airway closure is present but with very different airway opening pressures (AOPs) which cannot be identified on a global assessment. This may suggest a very different PEEP level than on a global assessment. Lastly, epidemiological studies suggest that in hypoxemic patients, the number of quadrants involved has a strong prognostic value. The number of quadrants is more important than the location of the unilateral or bilateral nature of the involvement for the prognosis, and hypoxemic patients with unilateral lung injury should probably be considered as requiring lung protective ventilation as classical acute respiratory distress syndrome.
Emergency Separation of Extreme VLBW Omphalopagus Twins: Case Report
Authors: Burhamah Waleed , Alnaqi Amar , Jafar Yaqoub , Taqi Esmaeel
Published: July 2022

The classification of conjoint twins is based according to the site of attachment. The challenges in management of such anomalies span the entire continuum of care from delivery to resuscitation to separation and finally discharge. Scheduled separation is ideal, occasionally the caring team is faced with no option but to perform an emergent separation. Omphalopagus is a type of conjoined twinning characterized by union of the peritoneal cavities through an infraumbilical abdominal wall defect. In this report we describe our experience with a successful emergency separation of extremely preterm omphalopagus twins.

This is the first case of conjoint twins in Kuwait, we highlight the challenges faced, stressing the importance of adhering to antenatal care as well as management by a multidisciplinary team.
Side Effects Related to BNT162b2 and CoronaVac Vaccine Requiring Emergency Department Visit
Authors: Yavuz Erdal , Turgut Kasim , Gulacti Umut , Aydın İrfan , Ozcan Oguzhan , Sonmez Cihad , Arslan Ebru
Published: July 2022

Background Currently, the most effective method in the fight against coronavirus disease 2019 (COVID-19) is vaccination against the disease. However, there are hesitations among society concerning the safety and side effects of COVID-19 vaccines. We aimed to determine the observed side effects that require an emergency room visit after taking the BNT162b2 and CoronaVac vaccines.

Methods This prospective observational study was conducted with patients who presented to the emergency department due to vaccine-related complications after COVID-19 vaccination. The patients' symptoms at the time of presentation, time from vaccination to the onset of symptoms, and dose of the vaccine administered were determined. In addition, the demographic characteristics of the patients, whether they had a history of COVID-19 infection, and their vital signs at the time of presentation were recorded. The variables were compared according to the type of vaccine administered.

Results The study included 182 patients who presented to the emergency department over a 6-month period. It was determined that 166 of these patients (91.2%) had received the BNT162b2 vaccine and 16 (8.8%) had received the CoronaVac vaccine. The majority of the patients did not have a history of COVID-19 infection (70.3%), and most presented to the hospital with complications after the second dose (61%). The onset of vaccine-related symptoms was mostly within 1 to 12 hours (39%). The majority of patients (97.8%) were discharged from the emergency department. The most common symptoms after vaccination were fatigue (n = 70), followed by muscle/joint pain (n = 52), headache (n = 33), and fever (n = 32). The rate of dizziness was found to be statistically significantly higher in the CoronaVac vaccine group than in the BNT162b2 vaccine group (p = 0.008). There was no statistically significant difference between the two vaccine groups in relation to the remaining symptoms (p > 0.005).

Conclusion There were no serious complications related to the BNT162b2 or CoronaVac vaccine. The most common symptom after both vaccines was fatigue; therefore, the BNT162b2 and CoronaVac vaccines can be safely administered.
Pre-graduate teaching of human parasitology for medical laboratory technologist programs in Japan
Authors: Sekine Sho
Published: July 2022

Parasitic diseases continue to exist in many developing countries. In most cases, medical laboratory technologists (MLTs) detect parasitosis, which is then diagnosed and treated by medical doctors. However, parasitological education in medical schools has been declining, particularly in developed countries, leading to a decline in diagnostic ability. Therefore, the role of MLTs has become more critical. However, the current status of parasitology education in MLTs has not been investigated. In this study, a questionnaire survey of 93 schools and the students that are members of the Japanese association of medical technology and offer MLTs training programs was conducted. The educators were asked about the time and content of lectures and practical training, and the students were asked about their understanding of parasitology and the areas they found difficult. A series of χ2 distribution analyses were employed to analyze the data, and the Benjamini–Hochberg method was subsequently used to correct the p-values. This study included 62 out of 93 schools and 1043 students as participants. The results revealed a significant decrease in lecture hours in parasitology compared to 1994, and the trend that may continue in the future. In addition, after attending the lectures, students tended to disregard parasitology as a necessary subject. Pre-study interest was found to have an impact on post-study comprehension. This study is the first to report on the current status of parasitology education in MLTs parasitology training programs in parasite-free countries and can serve as a model for similar studies in other regions in the future.
You trust a face like yours
Authors: Nakano Tamami , Yamamoto Takuto
Published: July 2022

The appraisal of trustworthiness from facial appearance of a stranger is critical for successful social interaction. Although self-resemblance is considered a significant factor affecting the perception of trustworthiness, research is yet to be conducted on whether this theory is applicable to natural unfamiliar faces in real life. We examined this aspect by using a state-of-the-art deep convolutional neural network for face recognition to measure the facial similarity of a large sample of people with the evaluators. We found that the more they resembled the rater, the more trustworthy they were evaluated if they were of the same sex as the rater. Contrarily, when the stranger was of the opposite sex, self-resemblance did not affect trustworthiness ratings. These results demonstrate that self-resemblance is an important factor affecting our social judgments of especially same-sex people in real life.
Embodied cognition
Authors: Janzen Terry
Published: July 2022

Recent work has shown that ASL (American Sign Language) signers not only articulate the language in the space in front of and around them, they interact with that space bodily, such that those interactions are frequently viewpointed. At a basic level, signers use their bodies to depict the actions of characters, either themselves or others, in narrative retelling. These viewpointed instances seem to reflect “embodied cognition”, in that our construal of reality is largely due to the nature of our bodies (Evans and Green, 2006) and “embodied language” such that the symbols we use to communicate are “grounded in recurring patterns of bodily experience” (Gibbs, 2017: 450). But what about speakers of a spoken language such as English? While we know that meaning and structure for any language, whether spoken or signed, affect and are affected by the embodied mind (note that the bulk of research on embodied language has been about spoken, not signed, language), we can learn much about embodied cognition and viewpointed space when spoken languages are treated as multimodal. Here, we compare signed ASL and spoken, multimodal English discourse to examine whether the two languages incorporate viewpointed space in similar or different ways.
Field‐testing to determine power – cadence and torque – cadence profiles in professional road cyclists
Authors: Taylor Kurt Bergin , Deckert Sebastian , Sanders Dajo
Published: July 2022

The aim of this study was to evaluate a field‐based approach to determine torque‐cadence and power‐cadence profiles in professional cyclists and establish if this field‐based protocol can differentiate between varying rider specialisations. Twenty‐four male professional athletes from a World Tour cycling team participated in this investigation (Height = 1.84 ± 0.05 m, Weight = 72.3 ± 5.6 kg, Age = 25 ± 4 y). All riders were subsequently categorised into the following groups: 1) General Classification (GC) group; 2) sprinter group; and 3) classics group. All participants completed a specific sprint protocol in the field which included 6 times 6s sprints with varying gearing, starting cadences, starting speeds and position (i.e. seated vs standing). Power‐cadence and torque‐cadence profiles were determined based on the sprint outputs. There was a significant main effect of rider specialisation on the measured (sprint) variables (P≤0.03). Body weight, maximum power outputs (1s, 10s and modelled) and maximum torque were highest in the sprinter group, followed by the classics group, followed by the GC group. The protocol was able to differentiate between different rider specialisations (i.e. GC, sprinters, classics). The proposed methodology can contribute to individualising training content in the short‐duration domain.
Longitudinal association between moderate to vigorous physical activity and lipid profile indicators in adolescents
Authors: Barbosa Arthur Oliveira , Silva Juliana Maria da Penha Freire , Silva Diego Júnio , Cabral Tayse Guedes , de Jesus Felipe Moreira , Mendonça Gerfeson , Prazeres Filho Alcides , Moura Ially Rayssa Dias , Cristina da Costa Silva Eduarda , Rocha Sandro Raniel da Silva , Farias Júnior José Cazuza
Published: July 2022

The objective of this study was to examine the association between time engaged in moderate (MPA), vigorous (VPA), and moderate‐to‐vigorous (MVPA) physical activity (PA) and indicators of lipid profile in adolescents. This longitudinal study with a four‐year follow‐up, and three collection points (2014, 2015 and 2017) analyzed the data of 136 adolescents (10−13 years old; 53.7% girls), in João Pessoa, Brazil. The time in MPA, VPA and MVPA times was measured by accelerometers. The lipid profile indicators analyzed were total cholesterol (TC), low‐density (LDL‐C) and high‐density lipoproteins cholesterol (HDL‐C), triglycerides (TG), non‐HDL‐C, TC/HDL‐C and TG/HDL‐c ratios. There was an inverse association between MPA time and TC values (ß = −0.560; 95%CI: −1.116; −0.004); VPA and LDL‐C (ß = −0.962; 95%CI: −1.678; −0.246) and non‐HDL‐C (ß = −0.955; 95%CI: −1.708; −0.201); and MVPA and TC (ß = −0.436; 95%CI: −0.816; −0.055), TG (ß = −0.415; 95%CI: −0.712; −0.118), LDL‐C (ß = −0.460; 95%CI: −0.823; −0.096), non‐HDL‐C (ß = −0.522; 95%CI: −0.908; −0.136) and TC/HDL‐C (ß = −0.472; 95%CI: −0.889; −0.055). Adolescents more engaged in PA, especially in MVPA, exhibited better levels of TC, TG, LDL‐C, non‐HDL‐C and TC/HDL‐C; and AFV exerted a greater influence on LDL‐c and non‐HDL‐c levels.
Secondary electron emission and photoemission from a negative electron affinity semiconductor with large mean escape depth of excited electrons
Authors: Xie Ai-Gen , Dong Hong-Jie , Liu Yi-Fan
Published: July 2022

The formulae for parameters of a negative electron affinity semiconductor (NEAS) with large mean escape depth of secondary electrons λ (NEASLD) are deduced. The methods for obtaining parameters such as λ, B, E
pom and the maximum δ and δ at 100.0 keV ≥ E
po ≥ 1.0 keV of a NEASLD with the deduced formulae are presented (B is the probability that an internal secondary electron escapes into the vacuum upon reaching the emission surface of the emitter, δ is the secondary electron yield, E
po is the incident energy of primary electrons and E
pom is the E
po corresponding to the maximum δ). The parameters obtained here are analyzed, and it can be concluded that several parameters of NEASLDs obtained by the methods presented here agree with those obtained by other authors. The relation between the secondary electron emission and photoemission from a NEAS with large mean escape depth of excited electrons is investigated, and it is concluded that the presented method of obtaining λ is more accurate than that of obtaining the corresponding parameter for a NEAS with large λ
ph (λ
ph being the mean escape depth of photoelectrons), and that the presented method of calculating B at E
po > 10.0 keV is more widely applicable for obtaining the corresponding parameters for a NEAS with large λ
ph.
Matrix integrable fifth-order mKdV equations and their soliton solutions
Authors: Ma Wen-Xiu
Published: July 2022

We consider matrix integrable fifth-order mKdV equations via a kind of group reductions of the Ablowitz–Kaup–Newell–Segur matrix spectral problems. Based on properties of eigenvalue and adjoint eigenvalue problems, we solve the corresponding Riemann–Hilbert problems, where eigenvalues could equal adjoint eigenvalues, and construct their soliton solutions, when there are zero reflection coefficients. Illustrative examples of scalar and two-component integrable fifth-order mKdV equations are given.
Automated intraoperative central sulcus localization and somatotopic mapping using median nerve stimulation
Authors: Xie Tao , Wu Zehan , Schalk Gerwin , Tong Yusheng , Vato Alessandro , Raviv Nataly , Guo Qinglong , Ye Huanpeng , Sheng Xinjun , Zhu Xiangyang , Brunner Peter , Chen Liang
Published: July 2022

Objective. Accurate identification of functional cortical regions is essential in neurological resection. The central sulcus (CS) is an important landmark that delineates functional cortical regions. Median nerve stimulation (MNS) is a standard procedure to identify the position of the CS intraoperatively. In this paper, we introduce an automated procedure that uses MNS to rapidly localize the CS and create functional somatotopic maps. Approach. We recorded electrocorticographic signals from 13 patients who underwent MNS in the course of an awake craniotomy. We analyzed these signals to develop an automated procedure that determines the location of the CS and that also produces functional somatotopic maps. Main results. The comparison between our automated method and visual inspection performed by the neurosurgeon shows that our procedure has a high sensitivity (89%) in identifying the CS. Further, we found substantial concordance between the functional somatotopic maps generated by our method and passive functional mapping (92% sensitivity). Significance. Our automated MNS-based method can rapidly localize the CS and create functional somatotopic maps without imposing additional burden on the clinical procedure. With additional development and validation, our method may lead to a diagnostic tool that guides neurosurgeons and reduces postoperative morbidity in patients undergoing resective brain surgery.
Recovery of LED Emission Power under the Exposure to γ-n-Pulse
Authors: Zhamaldinov F F , Gradoboev A V , Orlova K N , Simonova A V
Published: July 2022

The article presents results of the study of the effect of LED power modes based on AlGaAs heterostructures (short-circuit, open circuit, and active mode with the passage of operating current during irradiation) on the resistance to γ-n-pulse exposure. Reduction of LED emission power under the influence of γ-n-pulse occurs in two stages irrespective of irradiation power mode, with each stage characterized by its own regularity and its own factor. Built-in electric field of p-n-junction does not contribute significantly to the degradation of LED power when exposed to γ-n-pulse. At irradiation of LED in active power mode after exposure to γ-n-pulse (Fn ≤ 1.5·1012n/cm2, Dγ ≤ 20 Gy (Si)) a recovery of LED power by the value of ΔP is observed. Recovery of ΔP power leads to reduction of the damage factor at the first stage, to increase of the LED resistance, and to shift of the boundary between the stages to the area of higher neutron fluences. It is supposed, that the observed jump-like increase of ΔP radiation power under the influence of γ-n-pulse is caused by radiation-stimulated annealing of local mechanical stresses that is generated under the condition of passing of operating current through LED.
Simulation Prediction and Forming Quality Control of Hemming Structure with Dissimilar Materials Oriented to Process Chain
Authors: Li Jianjun , Zhu Wenfeng , Li Yuanhui
Published: July 2022

Multi-material mixed-use has become an important way to realize autobody lightweight. However, due to the difference of material properties, the structure is prone to material mismatch when using thin and dissimilar materials. In this paper, a deformation compensation method oriented to the process chain is proposed to eliminate the quality defects. Based on the simulation and prediction of the process chain, the final deformation is advanced to the spreading preparation stage to realize the geometric pre-compensation of the structure. Firstly, in the spreading and hemming stage, the prediction of hemming with adhesive was realized by establishing SPH (Smoothed particle method)-FEM (Finite element method) coupling model. Then, a coupled thermal-chemical-structural model is established to predict the curing deformation. Finally, the deformed dimension is fed back to the spreading stage to achieve the deformation compensation. The results show that the multi-field coupling model can achieve accurate prediction, and the structural deformation is reduced to more than 95%. This provides a basis for material matching and optimization of the whole process chain.
Basic Performance Judgment of Touch Screen
Authors: Wang Chengran , Jiao Guotao
Published: July 2022

With the development of science and technology, intelligent devices are entering every corner of our life. As an intelligent terminal, the touch screen carries most of the functions of human-computer interaction, and the performance of touch screen is particularly important. Through the comparative analysis of the principles of several types of touch screens and combined with the production practice of the original electronic whiteboard touch screen, this paper summarizes several aspects of the performance of the touch screen, such as anti-interference ability, signal strength, positioning accuracy and line drawing quality. Taking the electromagnetic induction touch screen as an example, this paper analyzes the generation and classification of touch screen defects, and summarizes some defect judgment methods of touch screen, which provides ideas for the selection of touch screen and the improvement of the overall quality of touch screen.
On the Study of Thai Music Emotion Recognition Based on Western Music Model
Authors: Satayarak N , Benjangkaprasert C
Published: July 2022

The mood of the song could be identified by tracking the listener’s emotion. The research in this area is growing significantly at the present. There are many research studies in western music, but a few in Thai music. Therefore, in this research, Thai songs were chosen because the Thai is a native language and Thai songs are quite popular in the region of research. This research is divided into 2 parts. First, Thai music was evaluated by the set of a system based on western music training settings. By using valence-arousal values, multiple linear regression, and k-nearest neighbors to represent the emotional annotations from the music. As a result, the highest f-measure of Thai music from multiple linear regression by ALL model was 41% and the f-measure of western music from multiple linear regression by No Tempo model was 51%, which was very different because ALL model in western music has lower efficiency than other models. Second, we measured the mood of 125 Thai popular songs and used valence-arousal (energy) values from Spotify API to investigate the results. In this research we used multiple linear regression (MLR) and support vector regression (SVR). Experimental results show that the multiple linear regression provides the highest accuracy of 61.29% with the precision of 65%, recall of 61%, and f-measure of 60% which is more than support vector regression.
Crack Detection of Eggshell using Image Processing and Computer Vision
Authors: Purahong B , Chaowalittawin V , Krungseanmuang W , Sathaporn P , Anuwongpinit T , Lasakul A
Published: July 2022

This article presents an eggshell crack inspection using image processing techniques. This approach uses the concept of industrial 4.0 to reduce manual coordination in the egg industry’s manufacturing process. The method started with receiving images from a webcam camera. Then, we rescaled the image to 1147 x 633 for faster computation. Next, divide the image into the red and green channels. The red channel image was converted to grayscale using a Gaussian blur filter with a kernel filter 11 x 11 to reduce noise, followed by turning the image to binary. After that, multiply the binary image with the grayscale of the green channel to remove the background. By that time, a morphological operation was used to enhance the quality of the image. Finally, use the contour matrix to find the area of the object and then build the condition to detect the crack in the eggshell. These techniques of image processing are used to inspect the eggshell crack with a high accuracy of more than 98% as well as the high performance of computing.
A Markov Decision Process Framework for Optimal Cancer Chemotherapy Dose Selection
Authors: Adeyiola A O , Rabia S I , Elsaid A , Fadel S , Zakaria A
Published: July 2022

Chemotherapy is arguably the most effective treatment for treating cancer. However, it triggers toxic effects on patients due to its interaction with normal cells. In this paper, we propose a finite-horizon Markov decision process framework for optimal chemotherapy dose selection during cancer treatment. In contrast to many other research works, our model accommodates all possible patient’s clinical health states that could be considered during treatment. We study the use of our model by applying it on Wilms tumor. We explore three different cases of varying transition probabilities and rewards. Our numerical results agree with clinical intuition and demonstrate the potential applicability of our model.
On Finite Subgroups in the General Linear Groups over an Algebraic Number Field
Authors: Li Ying
Published: July 2022

As is well-known, there are only finitely many isomorphic classes of finite subgroups in a given general linear group over the field of rational numbers. This result can be generalized to any algebraic number field. While the case of field of rational numbers is relatively well-studied, we still do not know much for general algebraic number field cases. In this article, we discuss the finiteness of isomorphic classes of finite subgroups of general linear groups over an algebraic number field. We give a method to calculate a multiplicative bound for the orders of finite subgroups and to classify finite cyclic subgroups.
Mathematical Model for Combined Radiotherapy and Chemotherapy that Fits with Experimental Data
Authors: Hellal Hoda , Elabsy Hanaa , Elkaranshawy Hesham
Published: July 2022

One of the most challenges to effective treatment of cancer is radiation resistance. Published data from a notably experiment performed to examine the ability of a compound therapy to overcome radiation resistance is utilized. The chemotherapeutic drug used was vinblastine. The experiment included control tumors and tumors which were treated with radiation, chemotherapy, or both. In this paper a mathematical model is developed. The model fits with the data reported from the mentioned experiment. Starting with a suggested model for the tumor growth, the model is expanded to include the effect of radiotherapy, chemotherapy, and combined chemotherapy and radiotherapy. By fitting the model with the experimental data, the parameters of the model are obtained in each stage. The final mathematical model acquired can be used with the case with no treatment, with radiotherapy treatment, with chemotherapy treatment, and with combined chemotherapy and radiotherapy treatment. Results capture the behavior of the tumor in all cases in a reasonable way.
Numerical Simulation Study of the Water Entry Slamming on Oscillating Buoys with Different Shapes
Authors: Li Xuejian , Luo Xing , Wang Ruohong , Liu Yanjun
Published: July 2022

Heaving buoys device is a commonly used form of wave energy utilization. When encountering extreme wind and waves, the float will rise away from the waves, and then fall back to the normal working position will be impacted by water. In this paper, numerical simulation studies are carried out on the slamming characteristics of three types of floats of cone, truncated cone and hemispherical shapes, and the influence of the bottom lift angle of the floating body on the peak acceleration and the peak slamming pressure is analyzed. The CFD method was used to simulate the slamming process of different shapes of floating bodies, and the velocity, pressure and flow field changes during the process of entering the water were obtained, resulting in the main conclusions as follows : The truncated cone-shaped floating body is subject to greater slamming pressure, and the bottom rise angle has little effect on the slamming pressure and speed changes; The slamming pressure on the conical floating body is smaller, and the larger the bottom lift angle, the smaller the slamming pressure; The slamming pressure of the hemispherical floating body is stronger than that of the conical shape, but its speed after entering the water is greater than that of the conical shape, and the kinetic energy loss is minimal.
Deep Neural Network As a Tool for Appraising Housing Prices: A Case Study of Busan, South Korea
Authors: An S , Song Y , Jang H , Ahn K
Published: July 2022

This study examines whether the number of hidden layers in a deep neural network significantly influences the model accuracy and efficiency for appraising housing prices. We provide empirical evidence that the deep neural network can achieve high accuracy with a small number of hidden layers on our dataset, which contains various hedonic variables. Furthermore, we show that adding layers does not necessarily guarantee the model’s accuracy and effectiveness of the computing time.
Equilibrium in Complete Market with Jump-Diffusion Processes
Authors: Yang Yunfeng , Wang Zini
Published: July 2022

This paper establishes the existence of a solution to the optimization problem. Supposing that risk assets pay continuous dividend regarded as the function of time. It is established that the behaviour model of the stock pricing process is jump-diffusion driven by a count process. We give a characterization of the optimal portfolio by means of the value function and the equivalent martingale measure defined by the utility function. The unique equivalent martingale measure, the unique optimal consumption and portfolio pair and the corresponding wealth process are deduced. We provide a simple characterization of an equilibrium market and discuss existence and uniqueness of equilibrium in the economy.
Simulation of 2D Acoustic Wave Propagation with Absorbing Boundary Condition
Authors: Liu Zekun , Lu Tianyou
Published: July 2022

In this work we design an algorithm to simulate the 2D acoustic wave (P wave) propagation in a medium with different regional velocities. We use the Generalized Conjugate Residual (GCR) algorithm to solve the trapezoidal time integration, where for a given time step of 0.01 seconds, the error is approximately 8% with respect to the reference. We further speed up the simulation by a factor of 900 by implementing a model reduction scheme using Proper Orthogonal Decomposition (POD). Lastly, to suppress the artificial reflections formed when the wave bounces off the fixed boundaries, we created two virtual absorbing layers by tapering the solution of nodes close to the corresponding boundaries after each time iteration. However, we note that the successful implementations of the model reduction and absorbing boundary condition are not compatible with each other and provide explanations for why and how to combine them in future work.
Power-based Model for Temperature Prediction in FSW
Authors: Ambrosio D , Wagner V , Dessein G , Tongne A , Fazzini M , Garnier C , Cahuc O
Published: July 2022

This paper describes a thermal numerical model accessible to all users for predicting temperature in friction stir welding from the power, material thermal properties, process parameters, tool, and plate dimensions. Starting with the information obtained from the machine, power or torque, the heat flux is modeled as a circular moving source with a diameter equal to that of the shoulder. The model calibrated in a specific setup (CNC machine) successfully predicted without recalibration the weld temperature field in another one (robot). The simple thermal model was applied without recalibration to data available in the literature to test its effectiveness. The results obtained with this model are promising, although more tests are needed to cover all possible varieties of tool geometries and material thickness. If extended over a broader range of configurations (i.e., process parameters and tool-workpiece geometries), it could be a handy tool for all FSW users. The tool may help study the thermal cycles in the heat affected zone that influence final mechanical properties and make it easier to identify optimal parameters if the desired optimal peak temperatures are determined.
Law of Gravity Blurred by Perturbed Planetary Orbits for Alien Observers
Authors: Wang Jessie
Published: July 2022

The Fermi paradox is the contradiction between the high probability for aliens and its lack of evidence. This is perhaps the most significant of all questions in astronomy. Nowadays, thousands of exoplanets have been detected, providing us more information directly from alien planets to revisit Fermi paradox. Over recent years, the detection of habitable exoplanets has grown rapidly, and most of them in multi-planet system with fairly compact structures, which is partly due to our observational techniques. In such systems, planets’ orbits are significantly perturbed by gravitational interactions from each other. To travel within or out of a planetary system, one must understand the law governing planetary motion, but can extraterrestrials deduce the universal law of gravitation by observing planets in their system, as Johannes Kepler and Isaac Newton had done? Here we show that due to the close planetary orbits in systems hosting habitable exoplanets, planetary orbits significantly deviate from the Keplerian orbit. In our N-body simulation over a period of 300 days, out of the ten planetary systems which all include habitable exoplanets in our sample, the mean anomaly deviates from a Keplerian orbit by more than 5 degrees while the system remains stable as the semi-major axis remains relatively constant. This would significantly complicate what the observers on those planets observe as the motion in the system would not appear to have a pattern periodically. Although planets indeed affect each other in all systems, the compact nature of these systems have magnified the effect and provide no way for the extraterrestrials inhabiting those planets to discover the universal law of gravitation. Extraterrestrials lacking the law of gravity definitely cannot facilitate traveling beyond their planets. That could be one possible resolution of Fermi paradox, reducing the population of high-developed civilization in Universe.
Meshing Simulation of Face-Gear Drives using Multibody Dynamics Software
Authors: Lee C K , Hsieh C L , Lin P C , Wang C Y
Published: July 2022

This paper aims to conduct the meshing simulation of two designs of face-gear drives (FGDs) by using the multibody dynamics software, SolidWorks motion. The pinion in the original design of FGD is not provided with any crowning modification, but the pinion in the improved design of FGD is provided with both profile and longitudinal crowning modifications. The results obtained by the meshing simulation show that the edge contact phenomenon greatly reduces the transmission stability of the original design. By giving the pinion a convex dressing in two directions, the transmission stability can be largely improved. The fluctuation in angular velocity and angular acceleration of the improved design of FGD is obviously lower than those of the original design.
Muon track reconstruction in a segmented bolometric array using multi-objective optimization
Authors: Yocum J. , Mayer D. , Ouellet J.L. , Winslow L.
Published: July 2022

Recent advances in segmented solid-state detector arrays for
rare-event searches have allowed the technology to approach the
ton-scale in detector mass and the scale of meters in size. Often
focused around searches for neutrinoless double-beta decay or direct
dark matter detection, such experiments also have the capability to
search for exotic particles that leave track-like signatures across
their volume. However, the segmented nature of such detector arrays
often sets the spatial resolution and makes the problem of
reconstructing track-like paths non-trivial. In this paper, we
present an algorithm that improves reconstruction of track-like
events in segmented detectors using multi-objective optimization —
a computational technique that optimizes more than one cost function
at a time without specifying a quantitative weighting between
them. Such a technique allows the reconstruction of tracks through a
detector and the determination of path-lengths through individual
elements. When combined with the reconstructed energy depositions in
each element this allows for a calculation of the stopping power of
track-like particles and opens the door to searches for particles
with abnormal stopping power like monopoles or lightly-ionizing
particles (LIPs). Results are presented which evaluate the precision
of the reconstruction tools as they currently stand against Monte
Carlo generated data. The algorithm is presented in the context of
the CUORE experiment, but has applications to other segmented
calorimeter detectors.
Mercury in soils of the conterminous United States: patterns and pools
Authors: Olson Connor I , Geyman Benjamin M , Thackray Colin P , Krabbenhoft David P , Tate Michael T , Sunderland Elsie M , Driscoll Charles T
Published: July 2022

Soils account for the largest global mercury reservoirs, but observations are sparse in many regions. The accumulation and turnover of mercury in soils determines whether they act as an atmospheric source or sink. Here, we present a spatial analysis of soil mercury from a large soil survey (three horizons, ∼4800 sites) across the conterminous United States conducted by the U.S. Geological Survey. Soil mercury pools were calculated for 11 layers, cumulatively representing the top 1 m of soil, and totaling 158 ± 2 Gg (±SD) of mercury (20.3 ± 0.2 mg m−2). Mercury areal density was greatest in mixed forest (27.3 ± 0.5 mg m−2), cropland (25.3 ± 0.3 mg m−2), and deciduous forest (25.6 ± 0.5 mg m−2) ecosystems and lowest in barren (13.5 ± 0.3 mg m−2) and shrubland (12.6 ± 0.2 mg m−2) ecosystems. Assessment of the provenance of soil mercury using bedrock titanium normalization suggests that 62%–95% of soil mercury is unexplained by parental sources.