bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effect of Noise on the Utilization of Fundamental Frequency and Formants for Voice Discrimination in Children and Adults
Authors: Kishon-Rabin Liat , Zaltz Yael
Published: September 2023

The ability to discriminate between talkers based on their fundamental (F0) and formant frequencies can facilitate speech comprehension in multi-talker environments. To date, voice discrimination (VD) of children and adults has only been tested in quiet conditions. This study examines the effect of speech-shaped noise on the use of F0 only, formants only, and the combined F0 + formant cues for VD. A total of 24 adults (18–35 years) and 16 children (7–10 years) underwent VD threshold assessments in quiet and noisy environments with the tested cues. Thresholds were obtained using a three-interval, three-alternative, two-down, one-up adaptive procedure. The results demonstrated that noise negatively impacted the utilization of formants for VD. Consequently, F0 became the lead cue for VD for the adults in noisy environments, whereas the formants were the more accessible cue for VD in quiet environments. For children, however, both cues were poorly utilized in noisy environments. The finding that robust cues such as formants are not readily available for VD in noisy conditions has significant clinical implications. Specifically, the reliance on F0 in noisy environments highlights the difficulties that children encounter in multi-talker environments due to their poor F0 discrimination and emphasizes the importance of maintaining F0 cues in speech-processing strategies tailored for hearing devices.
Hybrid Multiple-Organ Segmentation Method Using Multiple U-Nets in PET/CT Images
Authors: Suganuma Yuta , Teramoto Atsushi , Saito Kuniaki , Fujita Hiroshi , Suzuki Yuki , Tomiyama Noriyuki , Kido Shoji
Published: September 2023

PET/CT can scan low-dose computed tomography (LDCT) images with morphological information and PET images with functional information. Because the whole body is targeted for imaging, PET/CT examinations are important in cancer diagnosis. However, the several images obtained by PET/CT place a heavy burden on radiologists during diagnosis. Thus, the development of computer-aided diagnosis (CAD) and technologies assisting in diagnosis has been requested. However, because FDG accumulation in PET images differs for each organ, recognizing organ regions is essential for developing lesion detection and analysis algorithms for PET/CT images. Therefore, we developed a method for automatically extracting organ regions from PET/CT images using U-Net or DenseUNet, which are deep-learning-based segmentation networks. The proposed method is a hybrid approach combining morphological and functional information obtained from LDCT and PET images. Moreover, pre-training using ImageNet and RadImageNet was performed and compared. The best extraction accuracy was obtained by pre-training ImageNet with Dice indices of 94.1, 93.9, 91.3, and 75.1% for the liver, kidney, spleen, and pancreas, respectively. This method obtained better extraction accuracy for low-quality PET/CT images than did existing studies on PET/CT images and was comparable to existing studies on diagnostic contrast-enhanced CT images using the hybrid method and pre-training.
The Optimization of Secondary Lining Construction Time for Shield Tunnels Based on Longitudinal Mechanical Properties
Authors: Chai Shaobo , Yan Yifan , Hu Bo , Wang Hongchao , Hu Jun , Chen Jian , Fu Xiaodong , Zhou Yongqiang
Published: September 2023

In the field of shield tunnels, the occurrence of uneven longitudinal settlement in segment linings has presented persistent challenges, including heightened risks of localized damage and water leakage. While the adoption of a secondary lining has been proposed as a viable solution to these issues, the question of how to select an appropriate construction time for the secondary lining, one that enables it to fully harness its load-bearing capacity while optimizing the tunnel’s overall stress and deformation characteristics, continues to be a pressing concern. To address this issue, this study established a three-dimensional longitudinal refined numerical model of double-layer-lined shield tunnel. In addition, the deformation degree of the segment lining was used as a time indicator to define the construction time for the secondary lining. Subsequently, an analysis of the impact of the construction time of the secondary lining on the longitudinal mechanical properties of the double-layer-lined shield tunnel is conducted through an assessment of tunnel longitudinal deformation and structural stress. The research findings indicated that the construction of the secondary lining improved the longitudinal deformation resistance of shield tunnels. Simultaneously, it led to a significant increase in the longitudinal shear forces within the segment lining and a notable reduction in longitudinal bending moments. Moreover, the construction time of the secondary lining played a pivotal role in these alterations. Considering the longitudinal force situations and load-bearing characteristics of the double-layer lining structure, it was determined that the optimal construction time for the secondary lining fell within the range of 20% to 40% of the total construction duration. In this scenario, the deformation and internal forces within the segment lining remained within permissible limits. Additionally, both the segment lining and the secondary lining were able to fully utilize their load-bearing capacities, ensuring the economic and safety aspects of the tunnel.
Feasibility Assessment of Acid Gas Injection in an Iranian Offshore Aquifer
Authors: Cardu Marilena , Farzay Oveis , Shakouri Ali , Jamali Seyedyasin , Jamali Seyedkhashayar
Published: September 2023

Acid gas injection operations function as the commercial equivalent of certain aspects within the realm of geological CO2 storage. Acid gas, composed of H2S and CO2, alongside minor quantities of hydrocarbon gases stemming from either petroleum production or processing, constitute the composition of acid gas. The primary aim of acid gas injection operations lies in the disposal of H2S. Nevertheless, substantial volumes of CO2 are concurrently injected due to the economic impracticality of segregating the two gases. This investigation delves into the comprehensive, step-by-step procedure that can be employed to determine the suitability of a field or formation for acid gas injection, utilizing all accessible data, including the literature and data from neighboring fields. This approach incorporates sensitivity analysis of various parameters to ascertain the feasibility of AGI while minimizing costs and time consumption. The focus of this study centers on evaluating the feasibility of Acid Gas Injection (AGI) in a saline aquifer offshore in Iran. The assessment encompasses the examination of reservoir properties, geomechanical aspects, caprock integrity, and gas plume dynamics. The Surmeh formation emerges as a promising candidate for AGI due to the presence of upper dolomite and lower carbonate within the rock formations. Geomechanical analysis reveals a pore pressure of 3800 psi and a fracture pressure of 6100 psi. Caprock integrity, particularly within the Hith formation, emerges as pivotal for both containment and long-term stability. Seismic mapping highlights variations in caprock thickness, influencing containment effectiveness. Capillary trapping emerges as a significant factor in short-term gas entrapment and plume distribution. Numerical simulations elucidate the impact of heterogeneous rock properties on capillary trapping and gas plume movement. The projection estimates approximately 2 TCF (Trillion Cubic Feet) of acid gas injection into the Surmeh formation. Based on the acid gas content and the gas in place at the source of injection, the recommended injection rate stands at 180 MMSCFD (million standard cubic feet per day). The formation’s inherent tightness limits injectivity, allowing for a maximum achievable rate of 7 MMSCFD with a permeability of 1 mD (millidarcy). However, a higher porosity (12%) and a permeability of 100 mD enable more efficient injection without fracturing the formation. To achieve this, it becomes imperative to implement two injection wells, each with a capacity of 90 MMSCFD.
Chemical Composition Analysis of Lilium brownii var. Viridulum Baker and the Effect of Postharvest Primary Processing on Its Quality
Authors: Hu Mengyao , Zhang Sheng , Chen Yuxiu , Wang Guifeng
Published: September 2023

To elucidate ths chemical composition of Lilium brownii var. Viridulum Baker and the impact of primary processing on its quality, a comparison was made on the polysaccharide and extract contents of ten batches of Lilium from different regions, including Lilium lancifolium Thunb., Lilium brownii var. Viridulum Baker, and Lilium davidi var. unicdor cotton. The chemical composition differences of the three Lilium species mentioned above were compared using high-performance liquid chromatography (HPLC) fingerprinting. The chemical components of Lilium brownii var. Viridulum Baker were analyzed by ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MSE). The boiling time and drying temperature of fresh Lilium brownii var. Viridulum Baker were investigated using the comprehensive scoring method based on the polysaccharide and extract contents. The results showed that the polysaccharide content of ten batches of Lilium from different origins ranged from 13.34% to 34.00%, and the extract content ranged from 27.10% to 47.10%. The HPLC fingerprinting results showed that the similarity of the three Lilium species ranged from 0.796 to 0.999, and the chemical components of Lilium davidi var. unicdor cotton differed significantly from those of Lilium lancifolium Thunb. and Lilium brownii var. Viridulum Baker. UPLC-Q-TOF-MSE identified 22 phenolic compounds, 35 steroidal saponins, and 6 alkaloids in Lilium brownii var. Viridulum Baker. Boiling for 5 min and drying at 85 °C has the least effect on the quality of fresh Lilium.
Quadrupole Effects in the Photoionisation of Sodium 3s in the Vicinity of the Dipole Cooper Minimum
Authors: Hosea Nishita M. , Jose Jobin , Varma Hari R. , Deshmukh Pranawa C. , Manson Steven T.
Published: September 2023

A procedure to obtain relativistic expressions for photoionisation angular distribution parameters using the helicity formulation is discussed for open-shell atoms. Electric dipole and quadrupole transition matrix elements were considered in the present work, to study the photoionisation dynamics of the 3s electron of the sodium atom in the vicinity of the dipole Cooper minimum. We studied dipole–quadrupole interference effects on the photoelectron angular distribution in the region of the dipole Cooper minimum. Interference with quadrupole transitions was found to alter the photoelectron angular distribution, even at rather low photon energies. The initial ground and final ionised state discrete wavefunctions of the atom were obtained in the present work using GRASP, and we employed RATIP with discrete wavefunctions, to construct continuum wavefunctions and to calculate transition amplitudes, total cross-sections and angular distribution asymmetry parameters.
Online State-of-Health Estimation for NMC Lithium-Ion Batteries Using an Observer Structure
Authors: Neunzling Jan , Winter Hanno , Henriques David , Fleckenstein Matthias , Markus Torsten
Published: September 2023

State-of-health (SoH) estimation is one of the key tasks of a battery management system, (BMS) as battery aging results in capacity- and power fade that must be accounted for by the BMS to ensure safe operation over the battery’s lifetime. In this study, an online SoH estimator approach for NMC Li-ion batteries is presented which is suitable for implementation in a BMS. It is based on an observer structure in which the difference between a calculated and expected open-circuit voltage (OCV) is used for online SoH estimation. The estimator is parameterized and evaluated using real measurement data. The data were recorded for more than two years on an electrified bus fleet of 10 buses operated in a mild European climate and used regularly in the urban transport sector. Each bus is equipped with four NMC Li-ion batteries. Every battery has an energy of 30.6 kWh. Additionally, two full-capacity checkup measurements were performed for one of the operated batteries: one directly after production and one after two years of operation. Initial validation results demonstrated a SoH estimation accuracy of ±0.5% compared to the last checkup measurement.
MCHeart: Multi-Channel-Based Heart Signal Processing Scheme for Heart Noise Detection Using Deep Learning
Authors: Han Soyul , Jeon Woongsun , Gong Wuming , Kwak Il-Youp
Published: September 2023

In this study, we constructed a model to predict abnormal cardiac sounds using a diverse set of auscultation data collected from various auscultation positions. Abnormal heart sounds were identified by extracting features such as peak intervals and noise characteristics during systole and diastole. Instead of using raw signal data, we transformed them into log-mel 2D spectrograms, which were employed as input variables for the CNN model. The advancement of our model involves integrating a deep learning architecture with feature extraction techniques based on existing knowledge of cardiac data. Specifically, we propose a multi-channel-based heart signal processing (MCHeart) scheme, which incorporates our proposed features into the deep learning model. Additionally, we introduce the ReLCNN model by applying residual blocks and MHA mechanisms to the LCNN architecture. By adding murmur features with a smoothing function and training the ReLCNN model, the weighted accuracy of the model increased from 79.6% to 83.6%, showing a performance improvement of approximately 4% point compared to the LCNN baseline model.
Economical Production of Phenazine-1-carboxylic Acid from Glycerol by Pseudomonas chlororaphis Using Cost-Effective Minimal Medium
Authors: Li Yu-Xuan , Yue Sheng-Jie , Zheng Yi-Fan , Huang Peng , Nie Yan-Fang , Hao Xiang-Rui , Zhang Hong-Yan , Wang Wei , Hu Hong-Bo , Zhang Xue-Hong
Published: September 2023

Phenazine compounds are widely used in agricultural control and the medicine industry due to their high inhibitory activity against pathogens and antitumor activity. The green and sustainable method of synthesizing phenazine compounds through microbial fermentation often requires a complex culture medium containing tryptone and yeast extract, and its cost is relatively high, which greatly limits the large-scale industrial production of phenazine compounds by fermentation. The aim of this study was to develop a cost-effective minimal medium for the efficient synthesis of phenazine compounds by Pseudomonas chlororaphis. Through testing the minimum medium commonly used by Pseudomonas, an ME medium for P. chlororaphis with a high production of phenazine compounds was obtained. Then, the components of the ME medium and the other medium were compared and replaced to verify the beneficial promoting effect of Fe2+ and NH4+ on phenazine compounds. A cost-effective general defined medium (GDM) using glycerol as the sole carbon source was obtained by optimizing the composition of the ME medium. Using the GDM, the production of phenazine compounds by P. chlororaphis reached 1073.5 mg/L, which was 1.3 times that achieved using a complex medium, while the cost of the GDM was only 10% that of a complex medium (e.g., the KB medium). Finally, by engineering the glycerol metabolic pathway, the titer of phenazine-1-carboxylic acid reached the highest level achieved using a minimum medium so far. This work demonstrates how we systematically analyzed and optimized the composition of the medium and integrated a metabolic engineering method to obtain the most cost-effective fermentation strategy.
Molecular Study of the Protective Effect of a Low-Carbohydrate, High-Fat Diet against Brain Insulin Resistance in an Animal Model of Metabolic Syndrome
Authors: Bima Abdulhadi , Eldakhakhny Basmah , Alamoudi Aliaa A. , Awan Zuhier , Alnami Abrar , Abo-Elkhair Salwa Mohamed , Sakr Hussein , Ghoneim Fatma Mohamed , Elsamanoudy Ayman
Published: September 2023

Brain insulin resistance is linked to metabolic syndrome (MetS). A low-carbohydrate, high-fat (LCHF) diet has been proposed to have a protective effect. Therefore, this study aimed to investigate the brain insulin resistance markers in a rat animal model of MetS and the protective effects of the LCHF diet. Four groups of male rats (10/group) were created. Group I (Control) was fed a regular diet. Groups II–IV were injected with dexamethasone (DEX) to induce MetS. Group II received DEX with a regular diet. Group III (DEX + LCHF) rates were fed a low-carbohydrate, high-fat diet, while Group IV (DEX + HCLF) rats were fed a high-carbohydrate, low-fat (HCLF) diet. At the end of the four-week experiment, HOMA-IR was calculated. Moreover, cerebral gene expression analysis of S-100B, BDNF, TNF-α, IGF-1, IGF-1 R, IGFBP-2, IGFBP-5, Bax, Bcl-2, and caspase-3 was carried out. In the DEX group, rats showed a significant increase in the HOMA-IR and a decrease in the gene expression of IGF-1, IGF-1 R, IGFBP-2, IGFBP-5, BDNF, and Bcl2, with a concomitant rise in S100B, TNF-α, Bax, and caspase-3. The LCHF diet group showed a significantly opposite effect on all parameters. In conclusion, MetS is associated with dysregulated cerebral gene expression of BDNF, S100B, and TNF-α and disturbed IGF-1 signaling, with increased apoptosis and neuroinflammation. Moreover, the LCHF diet showed a protective effect, as evidenced by preservation of the investigated biochemical and molecular parameters.
Investigating the Effect of Cognitive–Behavioral, Mindful-Based, Emotional-Based Intervention and Professional Training on Teachers’ Job Burnout: A Meta-Analysis
Authors: Li Jian , Xue Eryong , He Yunshu
Published: September 2023

Teachers are more likely to experience occupational burnout; intervention for their job burnout has been paid more and more attention by the academic community. However, there is not enough evidence to support the interventions’ effect. This study adopts the meta-analysis method and makes a statistical analysis of the interventions’ effect on teachers’ job burnout based on 29 papers in the literature of randomized controlled experiments. It mainly presents the basic external characteristics of the research literature; besides, based on the results of software CMA.V3, this paper also analysed the overall intervention effect and the separate effect of four types of intervention, namely, cognitive–behavioral interventions (CBI), mindfulness-based interventions (MBI), professional training (PT), and emotional-based intervention (EBI). The results showed that CBI had the best effect, and mindfulness-based intervention had the second-best effect. Professional training also showed a good intervention effect, while the intervention effect of emotional-based intervention remains to be verified. In addition, it was found that only the effect of cognitive–behavioral intervention (CBI) was significant and had a strong effect (g = 0.876, 95% CI-1.06, 2.814, p < 0.05) when considering their effects on emotional exhaustion, while the other three interventions had no significant effect. The discussion section is provided last.
The Effect of Maternal Trait Mindfulness on Preschoolers’ Social Competence: The Chain-Mediating Role of Maternal Self-Control and Problematic Social Media Use
Authors: Han Jinxia , Feng Shuo , Wang Ziming , He Jingyu , Quan Hehong , Li Chun
Published: September 2023

The impact of maternal trait mindfulness on the development of preschoolers’ social competence is receiving increasing attention from researchers. However, the mediating mechanisms that link maternal mindfulness to preschoolers’ social competence are still not well understood. This study examined the mediating effect of maternal self-control and problematic social media use on the association between maternal trait mindfulness and preschoolers’ social competence. We administered 407 mothers of preschoolers in China a questionnaire to assess their trait mindfulness, self-control, problematic social media use, and the degree of social competence of their children. After controlling for demographic variables, the results showed that (1) Maternal trait mindfulness was positively related to preschoolers’ social competence; (2) Maternal self-control and problematic social media use independently mediated the relationship between maternal trait mindfulness and preschoolers’ social competence; and (3) Maternal self-control and problematic social media use play a chain-mediating role between maternal trait mindfulness and preschoolers’ social competence. These findings have enhanced our understanding of how maternal trait mindfulness influences preschoolers’ social competence and holds important implications for interventions aimed at enhancing preschoolers’ social competence.
Knowledge, Perception, and Attitudes during the COVID-19 Pandemic in the Peruvian Population
Authors: Zegarra-Valdivia Jonathan Adrián , Chino Vilca Brenda Nadia , Ames Guerrero Rita Judith , Paredes-Manrique Carmen
Published: September 2023

Background: Latin American countries have been profoundly affected by COVID-19. Due to the alarming incidence of identified cases, we intended to explore which psychosocial elements may influence poor adherence to the mandatory control measures among the population. Objective: We aimed to assess Peruvians’ knowledge, attitudes, and vulnerability perception during the coronavirus outbreak. Method: We collected data from 225 self-selected participants using a web-based cross-sectional survey. Results: The overall respondents were between 18 and 29 years old (56.8%), female (59.5%), belonged to educated groups, and graduated professionals (69.3%), most of them. Logistic regression showed that Knowledge is highly associated with education (p = 0.031), occupation (p = 0.002), and age (p = 0.016). Our study identified that, although people reported adequate Knowledge by identifying expected symptoms and virus transmission ways in COVID-19 disease. There is a significant perceived susceptibility to contracting the mentioned virus, displaying stigmatized behavior (59.1%) and fear of contracting the virus from others (70.2%). Additionally, it is reported to lack people’s confidence in national health authorities regarding sanitary responses (62.7%), preparedness for the disease (76.9%), and the lack of adequate measures to deal with it (51.1%). Conclusion: We found that age, education, and occupation modulate Knowledge. At the same time, only age affected Perception and Attitude. Public policies should consider specific guidelines on knowledge translation and risk communication strategies for both containing psychological responses promptly and ensuring compliance with general control measures by the population.
Enhanced Modal Participation Ratio-Based Structural Damage Identification: A New Filtering Approach Using Modal Assurance Criteria
Authors: Yilmaz Zafer , Okur Fatih Yesevi , Günaydin Murat , Altunişik Ahmet Can
Published: September 2023

The interest in damage identification methods has increased significantly in recent years due to the rising demand for structural health monitoring of structures. This study presents an enhanced version and validation of a recently introduced method for damage detection, localization and quantifying damage using vibration data. The method is validated through a building application, a scaled steel frame model built in the laboratory. The validation is carried out using eight different damage scenarios in numerical and experimental studies. These studies are based on finite element analysis and ambient vibration tests. A newly introduced filtering approach that utilizes MAC rejection levels in Modal Participation Ratio derivation is provided to replace the user-controlled bandpass filter to obtain more reliable vibration data in experimental investigations. The results showed that the proposed procedure is more capable of correctly detecting, localizing and quantifying damage to a building, considering the real-life conditions.
Mechanical and Deformation Performance of Masonry Walls with Low-Strength Mortar Retrofitting Using Spray-on Polyurethane Coating
Authors: Chen Hai , Liu Yang , Tian Ying , Huang Qunxian
Published: September 2023

This study aimed to investigate the feasibility and effectiveness of spray-on polyurethane coating as a seismic strengthening method for rural masonry buildings. Three masonry wall specimens were tested under cyclic lateral loading, including a control specimen, a single-side strengthened specimen, and a double-side strengthened specimen. Digital image correlation (DIC) techniques were used to evaluate full-field strain, crack width, and failure progression in a non-contact manner. The seismic performances were compared in terms of failure mode, hysteretic behavior, skeleton curve, deformation performance, energy dissipation capacity, and stiffness degradation. Results indicated that a spray-on polyurethane coating effectively delayed the onset and progression of cracks, postponing the peak load and slowing strength and stiffness degradation. Compared to the unstrengthened specimen, the bearing capacity, ultimate displacement, and cumulative energy dissipation of the single-side strengthened specimen increased by 20%, 60%, and 514%, respectively. Compared to the single-side strengthened specimen, the double-side strengthened specimen BW-D exhibited improved integrity, deformation capacity, and energy dissipation capacity. Its ultimate displacement and cumulative energy dissipation increased by 28% and 10%, respectively.
Airspace Diameter Map—A Quantitative Measurement of All Pulmonary Airspaces to Characterize Structural Lung Diseases
Authors: Blaskovic Sanja , Anagnostopoulou Pinelopi , Borisova Elena , Schittny Dominik , Donati Yves , Haberthür David , Zhou-Suckow Zhe , Mall Marcus A. , Schlepütz Christian M. , Stampanoni Marco , Barazzone-Argiroffo Constance , Schittny Johannes C.
Published: September 2023

(1) Background: Stereological estimations significantly contributed to our understanding of lung anatomy and physiology. Taking stereology fully 3-dimensional facilitates the estimation of novel parameters. (2) Methods: We developed a protocol for the analysis of all airspaces of an entire lung. It includes (i) high-resolution synchrotron radiation-based X-ray tomographic microscopy, (ii) image segmentation using the free machine-learning tool Ilastik and ImageJ, and (iii) calculation of the airspace diameter distribution using a diameter map function. To evaluate the new pipeline, lungs from adult mice with cystic fibrosis (CF)-like lung disease (βENaC-transgenic mice) or mice with elastase-induced emphysema were compared to healthy controls. (3) Results: We were able to show the distribution of airspace diameters throughout the entire lung, as well as separately for the conducting airways and the gas exchange area. In the pathobiological context, we observed an irregular widening of parenchymal airspaces in mice with CF-like lung disease and elastase-induced emphysema. Comparable results were obtained when analyzing lungs imaged with μCT, sugges-ting that our pipeline is applicable to different kinds of imaging modalities. (4) Conclusions: We conclude that the airspace diameter map is well suited for a detailed analysis of unevenly distri-buted structural alterations in chronic muco-obstructive lung diseases such as cystic fibrosis and COPD.
Assessment of Volatile Characteristics of Okinawan Pineapple Breeding Lines by Gas-Chromatography–Mass-Spectrometry-Based Electronic Nose Profiling and Odor Activity Value Calculation
Authors: Asikin Yonathan , Kawahara Mutsumi , Kochi Sora , Maekawa Ryota , Omine Yuta , Takeuchi Makoto , Takara Kensaku , Wada Koji
Published: September 2023

The recent increase in demand for Okinawan pineapples has necessitated the development of new varieties with attractive aromas. This study aimed to evaluate the volatile characteristics of five Okinawan pineapple breeding lines, i.e., ‘No. 22’, ‘No. 25’, ‘No. 26’, ‘No. 27’, and ‘No. 28’. The total volatiles in the cryopulverized fruit flesh were examined using headspace gas-chromatography–mass-spectrometry-based electronic nose analysis. The total ion masses of the volatiles were visualized using principal component analysis, and three replicates of each line with comparable volatile characteristics were selected. Furthermore, the composition of the volatile components in these replicates was assessed, and the odor activity values (OAVs) were calculated. The breeding lines varied in the quantity and composition of their volatile compounds, which were predominantly esters, ketones, terpenes, and alcohols. The ‘No. 22’ fruit contained a greater content of volatiles than the other lines. Moreover, 14 volatiles with OAV > 1 were accounted as aroma-active compounds, and their variations were distinguished as follows: the highest OAV (786.96) was recorded for methyl 2-methylbutanoate of the ‘No. 26’ line; 2,5-dimethyl-4-methoxy-3(2H)-furanone was superior in the ‘No. 26’ and ‘No. 27’ lines; and δ-decalactone was only present in the ‘No. 22’ and ‘No. 27’ fruits, suggesting different potent practical uses for these new breeding lines.
Psychological Treatments for Hyperactivity and Impulsivity in Children with ADHD: A Narrative Review
Authors: Sadr-Salek Shayan , Costa Andreia P. , Steffgen Georges
Published: September 2023

Treatment of the ADHD types (hyperactive-impulsive, inattentive, and combined) in children has rarely been studied separately, although their prognostic courses differ widely. In addition, data show that improvements in hyperactivity/impulsivity are hard to achieve. Thus, we focused on treatments tailored to hyperactivity/impulsivity. We examined meta-analyses and systematic reviews within the inter- and intra-individual treatments and found that psychoeducation and training for parents, school-based interventions, reinforcement strategies, and neurofeedback consistently showed small to moderate effect sizes in reducing hyperactivity/impulsivity in children. Conversely, emotional self-regulation, social skills, and cognitive trainings showed unsatisfactory results. In summary, we found that the quality of usual care can be surpassed when the designated interventions are purposefully combined into a multimodal treatment program.
Factors Affecting Dyslipidemia among Korean Adolescents: An Analysis Using the 8th Korea National Health and Nutrition Examination Survey (2021)
Authors: Choe Ji-Hye , Bang Kyung-Sook , Jang Sang-Youn
Published: September 2023

A high prevalence of dyslipidemia has recently been shown not only in adults, but also in adolescents. When occurring in adolescence, dyslipidemia is a risk factor for cardiovascular disease in adulthood. This study aimed to identify significant factors affecting dyslipidemia in South Korean adolescents. We used data from the third year of the 8th Korea National Health and Nutrition Examination Survey (KNHANES VIII-3) on 381 Korean adolescents aged 12–18 years. The data were analyzed using frequency analysis, descriptive statistics, the Rao–Scott χ test, the t-test, and univariate and multivariate logistic regression using complex sample analysis. On a weighted population basis, 28.1% of the adolescents among the participants were identified as the group with dyslipidemia. Obesity, waist circumference, serum uric acid, and alanine aminotransferase (ALT) were significantly related to the prevalence of dyslipidemia. Physical activity 4–7 days a week was related to a decrease in the prevalence of dyslipidemia only in male adolescents. The results of this study can be used as evidence for the risk assessment of adolescent dyslipidemia and the establishment of systematic health management guidelines according to risk factors for the prevention of adolescent dyslipidemia.
Use of Oral Anticoagulants in Patients with Atrial Fibrillation: Preliminary Data from the Italian Atrial Fibrillation (ITALY-AF) Registry
Authors: Angeli Fabio , Reboldi Gianpaolo , Agnelli Giancarlo , Ambrosio Giuseppe , Capucci Alessandro , Carreras Giovanni , Cavallini Claudio , Murrone Adriano , Vaudo Gaetano , Zingarini Gianluca , Verdecchia Paolo
Published: September 2023

Background: Atrial fibrillation (AFIB), the most frequent cardiac arrhythmia, is a major risk factor for stroke, heart failure, and death. Because of the recent advances in AFIB management and the availability of new oral anticoagulants (OACs), there is a need for a systematic and predefined collection of contemporary data regarding its management and treatment. Methods: The objective of the ongoing ITALY-AFIB registry is to evaluate the long-term morbidity and mortality in patients with AFIB and to verify the implementation of the current guidelines for stroke prevention in these patients. The registry includes consecutive in- and out-patients with first diagnosed, paroxysmal, persistent, or permanent AFIB. In patients in sinus rhythm at entry, the qualifying episode of AFIB, confirmed by ECG diagnosis, had to have occurred within 1 year before entry. The clinical record form is web-based and accessible by personal keyword. Results: Enrolment into the registry started in the year 2013. In a current cohort of 2470 patients (mean age 75 ± 11 years, males 56%), the mean CHA2DS2-VASc score was 3.7 ± 1.8, and the mean HAS-BLED was 1.6 ± 0.9. There were no significant sex differences in the AFIB subtypes. At the end of the inclusion visit and after receiving knowledge of the web-based electronic estimate of risk for stroke and bleeding, the proportion of patients discharged with OACs was 80%. After exclusion of patients with first diagnosed AFIB (n = 397), the proportion of patients with prescription of OACs rose from 66% before the visit to 82% on discharge (p < 0.0001). Prescription of aspirin or other antiplatelet drugs fell from 18% before the visit to 10% on discharge (p < 0.0001). Conclusions: A web-based management of AFIB with automated estimation of risk profiles appears to favorably affect adherence to AFIB guidelines, based on a high proportion of patients treated with OACs and a substantial decline in the use of antiplatelet drugs.
Preparation of Conductive and Corrosion Resistant Phosphate Conversion Coating on AZ91D Magnesium Alloy
Authors: Zhang Shudi , Xu Yuheng , Liu Linkun , Lei Quanda , Dong Jialin , Zhang Tao
Published: September 2023

The application of magnesium alloys in the 3C industry requires the coexistence of excellent corrosion resistance and good electrical conductivity. In this work, a conductive and corrosion-resistant phosphate conversion coating (PCC) on AZ91D magnesium alloy was investigated. The effects of strong oxidant (KMnO4), additive (Na2MoO4), surface-active agent (OP-10) and their content in phosphating bath on PCCs were studied, and the mechanism of action of strong oxidant was analyzed. The results showed that the optimum content for KmnO4, Na2MoO4 and OP-10 in phosphating bath was 3.0 g/L, 1.5 g/L and 1.0 g/L. The PCC formed at the phosphating bath at the optimum condition was completely covered, the coating on α phases had a bilayer structure and the β phases were protruded. The electrical contact resistance (ECR) of the PCC was as low as 4.91 Ω, the Ecorr positively shifted about 27 mV, and the icorr reduced significantly. The presence of KMnO4 inhibited the formation of phosphate crystals and made the β phases protrude from the surface to form conductive spots, which improved the conductivity of PCCs.
Syntheses and Solid-State Characterizations of N-Alkylated Glycine Derivatives
Authors: Vušak Darko , Jurković Mia , Smrečki Neven , Prugovečki Biserka
Published: September 2023

Seven N-alkylated glycine derivatives were prepared and characterized using single-crystal X-ray diffraction, infrared spectroscopy and thermal analysis. Chloride salts, H2EtGlyCl, H2(n-PrGly)Cl and H2(i-PrGly)Cl were prepared by aminolysis of chloroacetic acid with respective alkylamine. Nitrate salts, H2EtGlyNO3, H2(i-PrGly)NO3, H2(n-PrGly)NO3 and zwitterionic compound H(n-PrGly)·1/3H2O were prepared using ion exchange reactions from corresponding chloride salts. In all the N-alkylated glycine chloride salts, two N-alkylglycinium cations and two chloride anions were connected into centrosymmetric dimers that were additionally hydrogen bonded into endless chains. In the nitrate salts, 2D networks of different topologies were formed through hydrogen bonds between nitrate anions and N-alkylglycinium cations. In compound H(n-PrGly)·1/3H2O, the zwitterionic N-(n-propyl)glycines and water molecules of crystallization were connected into the 3D hydrogen bond networks. Chloride salts have significantly more H⋯H and O⋯C contacts than nitrate salts. All chloride salts decompose in endothermic, while nitrate salts decompose in exothermic thermal events.
A Coupled Approach to Compute the Dislocation Density Development during Czochralski Growth and Its Application to the Growth of High-Purity Germanium (HPGe)
Authors: Miller Wolfram , Sabanskis Andrejs , Gybin Alexander , Gradwohl Kevin-P. , Wintzer Arved , Dadzis Kaspars , Virbulis Jānis , Sumathi Radhakrishnan
Published: September 2023

The evolution of the dislocation density during Czochralski growth is computed by the combination of global thermal calculations and local computation of the stress and dislocation density in the crystal. The global simulation was performed using the open-source software Elmer (version 8.4) and the local simulation with the open-source software MACPLAS (version of 23.1.2023). Interpolation both in space and time was used to transfer the boundary conditions from the global simulations to the local model, which uses a different mesh discretization and a considerably smaller time step. We applied this approach to the Czochralski growth of a high-purity Ge crystal. The heater power change predicted by the global model as well as the final dislocation density distribution in the crystal simulated by the local model are correlated to the experimental results.
Dynamics–Function Correlation in Photosystem II: Molecular Dynamics in Solution
Authors: Golub Maksym , Koppel Miriam , Pikma Piret , Frick Bernhard , Pieper Jörg
Published: September 2023

A detailed comprehension of protein function requires information on the spatial structure of the protein, which is often gathered from X-ray crystallography. However, conformational dynamics often also plays an important functional role in proteins and can be directly investigated by complementary quasielastic neutron scattering. A classic example for dynamics–function correlations is Photosystem II, which is a multimeric pigment–protein complex responsible for catalyzing the light-induced photosynthetic water splitting into protons and oxygen. Several functional subprocesses of photosynthetic electron transfer and water splitting are strongly dependent on temperature and hydration, two factors also known to affect protein dynamics. Photosystem II is often investigated in the form of membrane fragments, where the protein complex remains embedded into its native lipid environment. However, experiments on protein function are often carried out in solution state, while direct investigations of molecular dynamics by quasielastic neutron scattering are mainly performed using specifically hydrated membrane fragments only. The present study provides the first quasielastic neutron scattering investigation of the molecular dynamics of Photosystem II membrane fragments (PSIImf) in solution over a wide temperature range from 50 to 300 K. At physiological temperatures above the melting point of water, we observed that the dynamics of PSIImf are significantly activated, leading to larger atomic mean square displacement values compared to those of specifically hydrated membrane stacks. The QENS data can be described by two dynamical components: a fast one, most probably corresponding to methyl group rotation; and a slower one, representing localized conformational dynamics. The latter component could be fitted by a jump-diffusion model at 300 K. The dynamics observed characterize the level of flexibility necessary for the proper PS II functionality under physiological conditions. In contrast, we observe a severe restriction of molecular dynamics upon freezing of the solvent below ~276 K. We associate this unexpected suppression of dynamics with a substantial aggregation of PSIImf caused by ice formation.
Alexithymia, Self-Compassion, Emotional Resilience, and Cognitive Emotion Regulation: Charting the Emotional Journey of Cancer Patients
Authors: Ozonder Unal Ipek , Ordu Cetin
Published: September 2023

Cancer’s profound impact on emotional well-being necessitates an exploration into the underlying psychological mechanisms influencing depression and anxiety in patients. In this study, we explored the potential role of self-compassion, alexithymia, and cognitive emotion regulation mechanisms in influencing depressive and anxiety symptoms among cancer patients. A total of 151 stage 4 cancer patients participated. Instruments applied included the Beck Depression Scale (BDS), Beck Anxiety Inventory (BAI), Self-Compassion Scale (SCS), Cognitive Emotion Regulation Scale (CERQ), Toronto Alexithymia Scale (TAS), Visual Analogue Scale (VAS), and Brief Psychological Resilience Scale (BRS). The multivariate analysis utilizing the independent variables—SCS, adaptive and maladaptive CERQ, TAS subscales, BRS, and VAS scores—accounted for 39% of the variance seen in BDI (F (8142) = 11.539, p < 0.001). Notably, SCS, adaptive CERQ, and BRS had a negative predictive impact on BDI. Our findings substantiate a statistically significant partial mediatory role of resilience and cognitive emotion regulation in the association between self-compassion and depression. This research accentuates the central role self-compassion, emotional resilience, and cognitive regulation play in the emotional well-being of individuals diagnosed with cancer. Targeted therapeutic interventions focusing on these dimensions may enhance the psychological health of patients, ultimately improving overall treatment outcomes in the oncological setting.
Two New Shellear Species (Gonorhynchiformes: Kneriidae), from the Luansa River (Upper Congo Basin): Hidden Diversity Revealed by Integrative Taxonomy
Authors: Kalumba Lewis Ngoy , Abwe Emmanuel , Schedel Frederic D. B. , Chocha Manda Auguste , Schliewen Ulrich K. , Vreven Emmanuel J. W. M. N.
Published: September 2023

Two new Kneria species, K. luansaensis sp. nov. and K. maxi sp. nov., are described from the Luansa River, a left bank tributary of the lower Luapula in the Bangweulu–Mweru ecoregion, based on an integrative approach using morphological and COI barcoding evidence. While K. luansaensis sp. nov. occurs from the source of the Luansa further downstream to above the last of the three Sanshifolo Falls, K. maxi sp. nov. only occurs downstream of all these three major falls. In Kneria, males of about ≥ 33 mm LS have an opercular and a postopercular organ. The number of lamellae on the latter seems to contain some alpha-taxonomic information, although this requires further study as allometric changes occur at about ≤ 45 mm LS. Additional external morphological characters differ between sexes, i.e., the (i) pectoral fin width (wider in males than females), (ii) dorsal fin height (longer in males than females), and (iii) length of the longest ray of the lower caudal fin lobe (longer in males than females). Agriculture, fishing with ichthyotoxines, and logging are the most pressing threats on the Luansa and thus to both the new species. Their discovery in one of the rivers of the Kundelungu Plateau and its surroundings located outside the present-day boundaries of the Kundelungu National Park highlights the need for a refined and improved protection strategy for this freshwater key biodiversity area.
The Effect of Bacillus coagulans Induced Interactions among Intestinal Bacteria, Metabolites, and Inflammatory Molecules in Improving Natural Skin Aging
Authors: Hiramoto Keiichi , Kubo Sayaka , Tsuji Keiko , Sugiyama Daijiro , Iizuka Yasutaka , Hamano Hideo
Published: September 2023

Background: Lactic acid bacteria consumption serves several health benefits to humans. However, their effect on natural skin aging is still unclear. Methods: This study examined the effects of skin naturalization (particularly skin drying) by administering a spore-bearing lactic acid bacteria (Bacillus coagulans) in mice for 2 years. Results: B. coagulans administration improved the natural skin of mice and significantly increased proportions of the genera Bacteroides and Muribaculum, among other intestinal bacteria. As metabolites, increases in nicotinic acid, putrescin, and pantothenic acid levels and a decrease in choline levels were observed. Increased hyaluronic acid, interleukin-10, and M2 macrophage levels indicate aging-related molecules in the skin. Intestinal permeability was also suppressed. Thus, these changes together improved natural skin aging. Conclusions: This study revealed that B. coagulans administration improved the natural skin aging in mice. This enhancement might be induced by the interaction of alterations in intestinal flora, metabolites, or inflammatory substances.
Artificial Intelligence in Surgical Training for Kidney Cancer: A Systematic Review of the Literature
Authors: Rodriguez Peñaranda Natali , Eissa Ahmed , Ferretti Stefania , Bianchi Giampaolo , Di Bari Stefano , Farinha Rui , Piazza Pietro , Checcucci Enrico , Belenchón Inés Rivero , Veccia Alessandro , Gomez Rivas Juan , Taratkin Mark , Kowalewski Karl-Friedrich , Rodler Severin , De Backer Pieter , Cacciamani Giovanni Enrico , De Groote Ruben , Gallagher Anthony G. , Mottrie Alexandre , Micali Salvatore , Puliatti Stefano
Published: September 2023

The prevalence of renal cell carcinoma (RCC) is increasing due to advanced imaging techniques. Surgical resection is the standard treatment, involving complex radical and partial nephrectomy procedures that demand extensive training and planning. Furthermore, artificial intelligence (AI) can potentially aid the training process in the field of kidney cancer. This review explores how artificial intelligence (AI) can create a framework for kidney cancer surgery to address training difficulties. Following PRISMA 2020 criteria, an exhaustive search of PubMed and SCOPUS databases was conducted without any filters or restrictions. Inclusion criteria encompassed original English articles focusing on AI’s role in kidney cancer surgical training. On the other hand, all non-original articles and articles published in any language other than English were excluded. Two independent reviewers assessed the articles, with a third party settling any disagreement. Study specifics, AI tools, methodologies, endpoints, and outcomes were extracted by the same authors. The Oxford Center for Evidence-Based Medicine’s evidence levels were employed to assess the studies. Out of 468 identified records, 14 eligible studies were selected. Potential AI applications in kidney cancer surgical training include analyzing surgical workflow, annotating instruments, identifying tissues, and 3D reconstruction. AI is capable of appraising surgical skills, including the identification of procedural steps and instrument tracking. While AI and augmented reality (AR) enhance training, challenges persist in real-time tracking and registration. The utilization of AI-driven 3D reconstruction proves beneficial for intraoperative guidance and preoperative preparation. Artificial intelligence (AI) shows potential for advancing surgical training by providing unbiased evaluations, personalized feedback, and enhanced learning processes. Yet challenges such as consistent metric measurement, ethical concerns, and data privacy must be addressed. The integration of AI into kidney cancer surgical training offers solutions to training difficulties and a boost to surgical education. However, to fully harness its potential, additional studies are imperative.