bluuebunny/crossref_metadata_2025 huggingface dataset:
Energy imbalance gap was associated with body mass index and sex in Latin American adolescents—results from the ELANS study
Authors: Hernandez Pablo , Herrera-Cuenca Marianella , Ferrari Gerson , Yépez Almeida Rafaela , Yépez García Martha Cecilia , Villar Cáceres Mónica , Cortés Sanabria Lilia Yadira , Sifontes Yaritza , Landaeta-Jimenez Maritza , Gómez Georgina , Monge-Rojas Rafael , Pareja Rossina G. , Rigotti Attilio , Kovalskys Irina , Fisberg Mauro
Published: March 2024

Introduction

Energy imbalance gap (EIG) is defined as the average daily difference between energy intake (EI) and energy expenditure (EE). This study aimed to examine the associations between EIG and sociodemographic and anthropometric variables in the adolescent population of eight Latin America countries.

Methods

A total of 680 adolescents aged 15 to 18 were included in this study. The estimation of EI was based on two non-consecutive 24-h dietary recalls. EE was predicted from Schofield equations using physical activity level obtained through the long version of the International Physical Activity Questionnaire. Sociodemographic data and anthropometric measurements were also obtained. A descriptive analysis and multilevel linear regression models were used to examine associations between variables.

Results

The mean EI, EE, and EIG were 2091.3 kcal, 2067.8 kcal, and 23.5 kcal, respectively. Argentina had the highest EI and EIG, whereas Chile had the lowest EI and EIG. Males had a higher EI (2262.4 kcal) and EE (2172.2 kcal) than females (1930.1 kcal and 2084.5 kcal), respectively (p < 0.05). Overweight subjects had a lower EIG than did underweight and normal-weight subjects (p < 0.05). Subjects with low socioeconomic status (SES) had a lower EE (2047.0 kcal) than those with a high SES (2164.2 kcal) (p < 0.05).

Conclusion

Sex and BMI were associated with EIG in adolescents from Latin America.
Effectiveness of sigmoidoscopy or colonoscopy screening on colorectal cancer incidence and mortality: a systematic review and meta-analysis of randomized controlled trial
Authors: Han Chunyang , Wu Fan , Xu Jian
Published: March 2024

Objectives

We conducted a comprehensive analysis to compare colonoscopy and sigmoidoscopy with standard care or fecal immunochemistry regarding colorectal cancer incidence and mortality risk.

Methods

Until August 2023, literature from PubMed, Embase, Web of Science, and Cochrane was systematically reviewed. We examined the impact of colonoscopy or sigmoidoscopy versus standard care on colorectal cancer outcomes, including incidence, cancer-specific mortality, and overall mortality.

Results

Among 4,265 screened articles, data from seven randomized controlled trials (involving 663,319 participants) were analyzed. The intervention group (colonoscopy or sigmoidoscopy) consisted of 258,938 participants, while the control group received standard care or fecal immunochemical testing, totaling 404,381 participants, with both groups having average colorectal cancer risk, without confounders. Pooled analyses indicated a 20% reduction in colorectal cancer incidence (RR: 0.80, 95% CI: 0.77-0.83) and a 26% decrease in colorectal cancer mortality (RR: 0.74, 95% CI: 0.69-0.80) in the intervention group compared to standard care. All-cause mortality remained unchanged (RR: 1.03, 95% CI: 0.99-1.07). Subgroup analysis favored sigmoidoscopy in reducing colorectal cancer morbidity and mortality.

Conclusion

This meta-analysis of randomized controlled trials underscores the effectiveness of colonoscopy and, notably, sigmoidoscopy in reducing colorectal cancer incidence and mortality among average-risk populations. In comparison to fecal immunochemical testing, both colonoscopy and sigmoidoscopy did not significantly impact colorectal cancer incidence and mortality in this population.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42023460007.
LocoGSE, a sequence-based genome size estimator for plants
Authors: Guenzi-Tiberi Pierre , Istace Benjamin , Alsos Inger Greve ,   The PhyloNorway Consortium, Coissac Eric , Lavergne Sébastien ,   The PhyloAlps Consortium, Aury Jean-Marc , Denoeud France
Published: March 2024

Extensive research has focused on exploring the range of genome sizes in eukaryotes, with a particular emphasis on land plants, where significant variability has been observed. Accurate estimation of genome size is essential for various research purposes, but existing sequence-based methods have limitations, particularly for low-coverage datasets. In this study, we introduce LocoGSE, a novel genome size estimator designed specifically for low-coverage datasets generated by genome skimming approaches. LocoGSE relies on mapping the reads on single copy consensus proteins without the need for a reference genome assembly. We calibrated LocoGSE using 430 low-coverage Angiosperm genome skimming datasets and compared its performance against other estimators. Our results demonstrate that LocoGSE accurately predicts monoploid genome size even at very low depth of coverage (<1X) and on highly heterozygous samples. Additionally, LocoGSE provides stable estimates across individuals with varying ploidy levels. LocoGSE fills a gap in sequence-based plant genome size estimation by offering a user-friendly and reliable tool that does not rely on high coverage or reference assemblies. We anticipate that LocoGSE will facilitate plant genome size analysis and contribute to evolutionary and ecological studies in the field. Furthermore, at the cost of an initial calibration, LocoGSE can be used in other lineages.
“Now once again this idea of yours (…) how does it sound when I say that?” – Changing the perspective: how coach’s questioning practices elicit self-reflecting processes in clients
Authors: Moos Chantal , Spranz-Fogasy Thomas
Published: March 2024

Drawing upon the transformative power of questions, the paper investigates questioning sequences from authentic coaching data to examine the systematic use of a particular succession of formulation and question and its impact on inviting self-reflection processes in the client and eliciting change. The object of investigation in this paper are therefore questioning sequences in which a coach asks a question immediately after a rephrasing or relocating action, prompting the client to respond in an explicit or implicit way. The coach hereby shifts the focus to a hypothetical scenario, prompting the client to change her perspective on the matter and reflect on her own statements, ideas and attitudes from an outside perspective. The paper aims to contribute to closing the research gap of the change potential of reflection-stimulating action techniques used by coaches, by investigating one of many ways of how questions can be powerful tools to invite a change of perspective for the client. The study focuses on one coaching process consisting of three sessions between a female coach and a female client, utilizing a single case study approach. The data collection was part of the interdisciplinary project “Questioning Sequences in Coaching”, comprising 14 authentic coaching processes. The analysis follows Peräkylä’s Transformative Sequences model, examining the first position including the formulation and the subsequent question, the client’s response, and the coach’s reaction to the response. On a practical level, the main purpose of this paper is not to contribute to the many ways practical literature recommends coaches how to do their work and how to ask questions, but rather to show in what ways the elicitation of self-reflection processes in clients has been achieved by other coaches in authentic coaching sessions.
An ethical advantage of autistic employees in the workplace
Authors: Hartman Lorne , Hartman Braxton
Published: March 2024

Differences between autistic and nonautistic people are often framed as deficits. This research considers whether some of these differences might actually be strengths. In particular, autistic people tend to be less sensitive to their social environment than nonautistic people who are easily influenced by the judgments, opinions, beliefs and actions of others. Because autistic people are less susceptible to social influence, as employees they are more likely to take action when they witness an operational inefficiency or an ethical problem in the organization. By reporting problems, autistic employees may contribute to the introduction of innovations and improvements in organizational processes and effectiveness that result in superior performance. This paper considers whether and the extent to which these differences between autistic and nonautistic employees are moderated by “moral disengagement,” a set of interrelated cognitive mechanisms that allow people to make unethical decisions by deactivating moral self-regulatory processes. While previous research has shown that moral disengagement is related to unethical decisions, there is no research on whether and the extent to which autistic people are vulnerable to moral disengagement. Thirty-three autistic employees and 34 nonautistic employees completed an on-line survey to determine whether differences between autistic and nonautistic employees with regards to (1) likelihood they would voice concerns about organizational dysfunctions, and (2) degree to which they were influenced by the presence of others when deciding to intervene, are moderated by individual differences in moral disengagement. As predicted, autistic participants scored lower on moral disengagement than nonautistic participants. In terms of the moderating effects of moral disengagement, the results are mixed. Although moral disengagement reduced intervention likelihood, there was not a difference between autistic and nonautistic employees in the degree to which intervention likelihood was changed by an individual’s level of moral disengagement. However, there was a difference between autistic and nonautistic employees in the extent to which acknowledging the influence of others was affected by moral disengagement. These findings suggest that autistic adults are not just more likely to intervene when they witness dysfunction or misconduct in an organizational context; they are also less likely to engage in unethical behavior in general due to lower levels of moral disengagement. The reduced susceptibility to the bystander effect evidenced by autistic adults in the workplace may be accounted for, in part, by their lower levels of moral disengagement compared with nonautistic adults.
Attitude towards mental help-seeking, motivation, and economic resources in connection with positive, negative, and general psychopathological symptoms of schizophrenia: a pilot study of a psychoeducation program
Authors: Abbas Qasir , Baig Khawar Bilal , Sadiq Urooj , Habib Hina Ayaz , Aljhani Sumayah , Ramzan Zoobia
Published: March 2024

Introduction

Schizophrenia is typically treated with medication as the first approach, but additional strategies are necessary to enhance the effectiveness of this treatment for better outcomes. However, it is crucial to explore methods, alongside medication, that promote a positive attitude towards seeking mental health support and alleviate symptom severity among non-institutionalized individuals of different age groups in Pakistan. Thus, this pilot study aimed to utilize a psychoeducation program to enhance patients’ motivation and attitudes toward seeking treatment, decrease symptom severity, and investigate the role of financial factors in their illness journey.

Methods

In this preliminary investigation, our focus was on individuals who had been diagnosed with schizophrenia and were receiving treatment from various hospitals and primary care clinics. Following a thorough screening process, 255 participants met the eligibility criteria, and 220 completed the psychoeducation program. The study included both male and female participants, with 143 (56.08%) being men and 112 (43.82%) being women. Regarding marital status, 123 (48.24%) were single, 98 (38.43%) were married, and 34 (13.33%) were divorced widowers or widows. The age range of the respondents varied from 18 to 52 years, with a mean age of 35.45 and a standard deviation of 10.27.

Results

The results indicated a decrease in symptom severity following a 16-week psychoeducation program. The psychoeducation program significantly reduced the positive symptoms, negative symptoms, and general psychopathological symptoms among patients. Similarly, significant improvement was observed in patients’ motivation toward treatment and they actively participated in treatment after getting psychoeducation about the treatment. Similarly, after the psychoeducation program significant improvement was seen in patients’ attitudes towards help-seeking and perceived mental health functioning.

Conclusion

In summary, the findings suggest that our psychoeducation program has the potential to positively impact the motivation and help-seeking attitudes of schizophrenia patients towards treatment. Moreover, there is a need for further exploration of psychoeducation programs for schizophrenia, particularly in countries facing economic challenges. This study paves the way for the development of an indigenous psychoeducation program tailored to Pakistani schizophrenia patients, with potential applicability for Urdu-speaking individuals.

Clinical Trial Registration

https://www.thaiclinicaltrials.org/show/TCTR20210208003, identifier TCTR20210208003.
The effect of nutrition education sessions on energy availability, body composition, eating attitude and sports nutrition knowledge in young female endurance athletes
Authors: Tektunalı Akman Cansu , Gönen Aydın Canan , Ersoy Gülgün
Published: March 2024

Nutrition knowledge plays a pivotal role in shaping dietary habits and food choices, particularly in the realm of sports nutrition. This study investigates the effects of a series of nutrition education sessions conducted by a registered dietitian on energy availability, various anthropometric measurements, eating attitudes, and sports nutrition knowledge in young female endurance athletes aged 15–18 years (football, basketball, volleyball) who engage in training for more than 10 h per week (n = 83). Participants were randomly divided into two groups with 45 individuals receiving six physical nutrition education lectures, and the remaining 38 participants receiving no nutrition education. Participants completed the low energy availability in females questionnaire (LEAF-Q), Eating Attitude Test (EAT-26), and Sports Nutrition Knowledge Questionnaire (SNKQ). Energy and nutrient intakes were evaluated through 3-day food records, while exercise energy expenditure was assessed using 3-day activity logs. All of the questionnaires were repeated after 6 months. At baseline, the prevalence of LEA among athletes was determined to be 63.8%. In the intervention group, energy availability (EA) and SNKQ scores increased, and LEAF-Q scores decreased significantly (p < 0.05). However, there was no significant change in EAT-26 scores between the two groups. Energy intake, weight, fat-free mass, and resting metabolic rate have been increased significantly in the intervention group (p < 0,05). These findings suggest that nutrition education proves beneficial in enhancing dietary intake, positively influencing body composition, and improving nutrition knowledge, ultimately contributing to increased energy availability in female athletes over the short term.
Reconstructing hyper-spectral downwelling irradiance from multi-spectral measurements
Authors: Tan Jing , Frouin Robert , Häentjens Nils , Barnard Andrew , Boss Emmanuel , Chamberlain Paul , Mazloff Matt , Orrico Cristina
Published: March 2024

Checking the radiometric calibration of satellite hyper-spectral sensors such as the PACE Ocean Color Instrument (OCI) while they operate in orbit and evaluating remote sensing reflectance, the basic variable from which a variety of optical and biogeochemical ocean properties can be derived, requires measuring upwelling radiance just above the surface (Lw) and downwelling planar irradiance reaching the surface (Es). For this, the current HyperNav systems measure Lw at about 2 nm spectral resolution in the ultraviolet to near infrared, but Es in only four 10 nm wide spectral bands centered on 412, 489, 555, and 705 nm. In this study, the Es data acquired in these spectral bands in clear sky conditions are used to reconstruct via a multi-linear regression model the hyper-spectral Es signal at 0.5 nm resolution from 315 to 900 nm, the OCI spectral range, allowing an estimate of Es at the HyperNav, OCI, and other sensors’ resolutions. After correction of gaseous absorption and normalization by the top-of-atmosphere incident solar flux, the atmospheric diffuse transmittance is expressed as a linear combination of Es measured in those 4 spectral bands. Based on simulations for Sun zenith angles from 0 to 75° and a wide range of (i.e., expected) atmospheric, surface, and water conditions, the Es spectrum is reconstructed with a bias of less than 0.4% in magnitude and an RMS error (RMSE) ranging from 0% to 2.5%, depending on wavelength. The largest errors occur in spectral regions with strong gaseous absorption. In the presence of typical noise on Es measurements and uncertainties on the ancillary variables, the bias and RMSE become −2.5% and 7.0%, respectively. Using a General Additive Model with coefficients depending on Sun zenith angle and aerosol optical thickness at 550 nm improves statistical performance in the absence of noise, especially in the ultraviolet, but provides similar performance on noisy data, indicating more sensitivity to noise. Adding spectral bands in the ultraviolet, e.g., centered on 325, 340, and 380 nm, yields marginally more accurate results in the ultraviolet, due to uncertainties in the gaseous transmittance. Comparisons between the measured and reconstructed Es spectra acquired by the MOBY spectroradiometer show agreement within predicted uncertainties, i.e., biases less than 2% in magnitude and RMS differences less than 5%. Reconstruction can also be achieved accurately with other sets of spectral bands and extended to cloudy conditions since cloud optical properties, like aerosol properties, tend to vary regularly with wavelength. These results indicate that it is sufficient, for many scientific applications involving hyper-spectral Es, to measure Es in a few coarse spectral bands in the ultraviolet to near infrared and reconstruct the hyperspectral signal using the proposed multivariate linear modeling.
A validation study to analyze the reliability of center of pressure data in static posturography in dogs
Authors: Aghapour Masoud , Affenzeller Nadja , Lutonsky Christiane , Peham Christian , Tichy Alexander , Bockstahler Barbara
Published: March 2024

Introduction

Center of pressure (COP) parameters are frequently assessed to analyze movement disorders in humans and animals. Methodological discrepancies are a major concern when evaluating conflicting study results. This study aimed to assess the inter-observer reliability and test-retest reliability of body COP parameters including mediolateral and craniocaudal sway, total length, average speed and support surface in healthy dogs during quiet standing on a pressure plate. Additionally, it sought to determine the minimum number of trials and the shortest duration necessary for accurate COP assessment.

Materials and methods

Twelve clinically healthy dogs underwent three repeated trials, which were analyzed by three independent observers to evaluate inter-observer reliability. Test-retest reliability was assessed across the three trials per dog, each lasting 20 seconds (s). Selected 20 s measurements were analyzed in six different ways: 1 × 20 s, 1 × 15 s, 2 × 10 s, 4 × 5 s, 10 × 2 s, and 20 × 1 s.

Results

Results demonstrated excellent inter-observer reliability (ICC ≥ 0.93) for all COP parameters. However, only 5 s, 10 s, and 15 s measurements achieved the reliability threshold (ICC ≥ 0.60) for all evaluated parameters.

Discussion

The shortest repeatable durations were obtained from either two 5 s measurements or a single 10 s measurement. Most importantly, statistically significant differences were observed between the different measurement durations, which underlines the need to standardize measurement times in COP analysis. The results of this study aid scientists in implementing standardized methods, thereby easing comparisons across studies and enhancing the reliability and validity of research findings in veterinary medicine.
A methodological approach to compare continuous and instantaneous sampling and two methods to deal with animals out of sight on dairy cattle behavior and interaction with their calf in the first hours post-partum
Authors: Manfrè Claudia , Battini Monica , Simonetto Alberto , Contiero Barbara , Serva Lorenzo , Mattiello Silvana , Ntalampiras Stavros , Normando Simona , Brscic Marta
Published: March 2024

Animal behavior can provide useful information about animal welfare, but methods and tools used to gather behavioral data and data treatment can influence the results. Therefore, this study was carried out on dairy cow (Bos taurus) behavior and interaction with calves early post-partum aiming at comparing two sampling rules, namely continuous and instantaneous sampling at scan intervals of 30 s, 1, 2, 3, 4, 5, and 10 min, and of two methods to deal with out of sight animals. The study was based on three assumptions: (1) continuous sampling provides the most complete and accurate data, allowing the observation of seldom behaviors and short events; (2) instantaneous sampling can provide accurate measurements of frequency and duration, especially at short scan intervals; (3) differences in behavioral results may occur depending on whether a correction for time out of sight is applied or not. Thus, 10 dams were observed from videos in the 2 h post-parturition. Ruminating, stereotypies, calf-biting and calf-butting were not recorded during the observation period. Other behaviors were observed only with continuous sampling or with continuous and instantaneous at 30-s scan intervals. The recoding of several behaviors was less accurate when applying longer scan intervals. Data from continuous and instantaneous sampling at 30-s scan intervals were compared with Wilcoxon test. Results showed no significant differences for posture, position in the pen and all behaviors (p > 0.05) except vocalizing (p = 0.003). The same test did not highlight significant differences due to method of dealing with out of sight for both sampling rules (p > 0.05). Correlation between continuous and instantaneous sampling were prevalently high at 30-s intervals and they decreased as the length of scan intervals increased for most behaviors. Results confirmed the first two assumptions suggesting that continuous sampling is more accurate, in particular for short and rare behaviors, and caution against the suitability of dam behavioral data collected using instantaneous sampling at scan intervals of minutes. The third assumption was not proven by this study. Results should be considered in light of the development of new technologies that relies on data acquired by sensors and imaging to monitor cow-calf welfare and behavior post-parturition.
Design and Characterization of Soft Fabric Omnidirectional Bending Actuators
Authors: Lee Kyungjoon , Bayarsaikhan Khulan , Aguilar Gabriel , Realmuto Jonathan , Sheng Jun
Published: March 2024

Soft robots, inspired by biological adaptability, can excel where rigid robots may falter and offer flexibility and safety for complex, unpredictable environments. In this paper, we present the Omnidirectional Bending Actuator (OBA), a soft robotic actuation module which is fabricated from off-the-shelf materials with easy scalability and consists of three pneumatic chambers. Distinguished by its streamlined manufacturing process, the OBA is capable of bending in all directions with a high force-to-weight ratio, potentially addressing a notable research gap in knit fabric actuators with multi-degree-of-freedom capabilities. We will present the design and fabrication of the OBA, examine its motion and force capabilities, and demonstrate its capability for stiffness modulation and its ability to maintain set configurations under loads. The mass of the entire actuation module is 278 g, with a range of omnidirectional bending up to 90.80°, a maximum tolerable pressure of 862 kPa, and a bending payload (block force) of 10.99 N, resulting in a force-to-weight ratio of 39.53 N/kg. The OBA’s cost-effective and simple fabrication, compact and lightweight structure, and capability to withstand high pressures present it as an attractive actuation primitive for applications demanding efficient and versatile soft robotic solutions.
Advanced Dual Reversible Data Hiding: A Focus on Modification Direction and Enhanced Least Significant Bit (LSB) Approaches
Authors: Kim Cheonshik , Cavazos Quero Luis , Jung Ki-Hyun , Leng Lu
Published: March 2024

In this study, we investigate advances in reversible data hiding (RDH), a critical area in the era of widespread digital data sharing. Recognizing the inherent vulnerabilities such as unauthorized access and data corruption during data transmission, we introduce an innovative dual approach to RDH. We use the EMD (Exploiting Modification Direction) method along with an optimized LSB (Least Significant Bit) replacement strategy. This dual method, applied to grayscale images, has been carefully developed to improve data hiding by focusing on modifying pixel pairs. Our approach sets new standards for achieving a balance between high data embedding rates and the integrity of visual quality. The EMD method ensures that each secret digit in a 5-ary notational system is hidden by 2 cover pixels. Meanwhile, our LSB strategy finely adjusts the pixels selected by EMD to minimize data errors. Despite its simplicity, this approach has been proven to outperform existing technologies. It offers a high embedding rate (ER) while maintaining the high visual quality of the stego images. Moreover, it significantly improves data hiding capacity. This enables the full recovery of the original image without increasing file size or adding unnecessary data, marking a significant breakthrough in data security.
Mechanistic Study of the Influence of Reactant Type and Addition Sequence on the Microscopic Morphology of α-Al2O3
Authors: Wen Weixiang , Bai Yang , Xu Mengxu , Gao Yujuan , Yan Pingke , Xu Huabing
Published: March 2024

To perform an in-depth study of the crystal growth habits and phase changes of alumina and its precursors in reaction systems, this paper studied the effects of reactant type and addition order on the morphology of alumina using hydrothermal methods with different precipitants and aluminum sources as reactants. Research has shown that sodium bicarbonate and ammonium bicarbonate can be used as precipitants to prepare adhered spherical alumina and irregular short rod alumina, while potassium bicarbonate can be used as a precipitant to prepare hexagonal flake alumina. Using aluminum sulfate octahydrate, aluminum chloride hexahydrate, and aluminum nitrate, nine hydrates were prepared as aluminum sources, and agglomerated alumina, irregular short rod-shaped alumina, and fused alumina were obtained. The order of reactant addition affects the precursor phase of alumina, thereby affecting the microstructure of alumina after calcination, resulting in flake alumina with pores and short rod alumina. The results of this paper will provide theoretical guidance for the preparation of alumina with different micromorphologies.
Determination of the Statistical Power of Fatigue Characteristics in Relation to the Number of Samples
Authors: Strzelecki Przemysław , Sempruch Janusz
Published: March 2024

The paper presents guidelines included in the ISO 12107:2003 standard regarding the number of samples for determining the fatigue characteristics in the high cycle range. The proposed normative values were compared with the classical statistical approach. Fatigue test results for S355J2+C steel for rotary bending were used for verification. In addition, the error and power of a statistical test were determined for characteristics with different sample sizes. It determined the number of specimens to estimate the fatigue curve, which required significant error and power of the statistical test.
Comprehensive Evaluation of Lateral Performance of Innovative Post in Sand
Authors: Abouzaid Abdelrahman , El Naggar Mohamed Hesham , Drbe Osama
Published: March 2024

Under environmental loads such as wind and earthquakes, piles are subjected to large lateral loads. A foundation system denoted Innovative Post (IP) that is composed of an H-pile shaft and one or two steel plates (paddles) welded to its flanges, has been developed to resist large lateral loads on sound wall systems. The present study evaluates the performance of IP installed in layered cohesionless soils through a comprehensive full-scale lateral load testing program and finite element (FE) analysis considering various pile and plate configurations. The developed FE model was validated employing the field test data and was then employed to conduct a parametric study to evaluate the performance of IP considering different paddles geometry (i.e., number of paddles, single or double, width, and length). The results demonstrated that adding the plates significantly increased the lateral capacity of H-piles. A positive relationship was identified between paddle’s width and length and the load efficiency. Optimal parameter values for paddles are established based on the experimental and numerical results proposed.
Bandgap Dynamics in Locally Resonant Metastructures: A General Theory of Internal Resonator Coupling
Authors: Alimohammadi Hossein , Vassiljeva Kristina , HosseinNia S. Hassan , Petlenkov Eduard
Published: March 2024

The dynamics of metastructures, incorporating both conventional and internally coupled resonators, are investigated to enhance vibration suppression capabilities through a novel mathematical framework. A close-form formulation and a transfer function methodology are introduced, integrating control system theory with metastructure analysis, offering new insights into the role of internal coupling. The findings reveal that precise internal coupling, when matched exactly to the stiffness of the resonator, enables the clear formation of secondary bandgaps, significantly influencing the vibration isolation efficacy of the metastructure. Although the study primarily focuses on theoretical and numerical analyses, the implications of adjusting mass distribution on resonators are also explored. This formulation methodology enables the adjustment of bandgap characteristics, underscoring the potential for adaptive control over bandgaps in metastructures. Such capabilities are crucial for tailoring the vibration isolation and energy harvesting functionalities in mechanically resonant systems, especially when applied to demanding heavy-duty applications.
A Performance Prediction Method Utilizing Time-Dependent Subsystem Transfers between Family Systems
Authors: Cai Wei , Li Zhuofang , Zhu Ming , Guo Rui , Wang Jianwei , Zhao Jingyi
Published: March 2024

Based on cluster system theory and the Markov process, a performance prediction method utilizing time-dependent subsystem transfers between family systems is proposed in this paper. The family system is divided via the mean clustering method, with the key performance parameters of subsystems utilized as identification parameters. According to the transition quantity of subsystems in the family systems, the transition probability of subsystems between family systems is described via the Markov process. The transition matrix between subsystems is established by dividing multiple intervals of key performance states. The inter-family transfer matrix and the current family system label of the subsystem are updated in real time. Thus, the transition probability of any subsystem and the total number of subsystems to be transferred to the failure-state family system can be judged, and the remaining life can be further determined. Using the real-world monitoring dataset from the FAST Telescope, the effectiveness and accuracy of the method are verified. Due to the representativeness of family systems to subsystems and the powerful transfer-describing ability of Markov processes, the proposed method shows superiority in online prediction and performance evaluation compared to the fault data-based method, such as improvements in rapidity and accuracy. In addition, the proposed method can be used to evaluate overall reliability without reference samples, thus making the prediction method more practical in complex, large systems with small or even zero sample conditions.
Retrospective Clinical Analysis of the Effectiveness of Skeletally Anchored Appliances for Maxillary Expansion
Authors: Loster Bartłomiej W. , Juszka Zofia , Loster Jolanta E.
Published: March 2024

(1) Background: Skeletally anchored appliances for maxillary expansion are a less invasive alternative to surgery and are increasingly often selected as a method of treatment. The purpose of this study was to retrospectively evaluate the efficacy of maxillary expansion using distractors supported by temporary orthodontic implants (TOIs) in patients of differing sex and age. (2) Methods: The study group consisted of patients treated with distractors anchored to TOIs between July 2019 and June 2022. The group was divided into adolescent and the adult patients. Effectiveness was evaluated one and two weeks after installation of the distractors and the results were analyzed statistically. (3) Results: In total, 39 patients were treated, of which 21 were women and 18 men, ranging in age from 11 to 42. A group of 8 girls and 9 boys younger than 18 years were included. The presence of diastema at the first follow-up visit was observed in all girls and in 8 of the boys, as well as in 7 women and in none of the men. At the second visit, no diastema was found in one woman, but was noted in 3 men (p = 0.007). At the completion of distraction, diastema was observed in all the girls and in 12 women, as well as in 8 out of 9 boys and in 3 men (p = 0.015). (4) Conclusions: The effectiveness of the distraction procedure in adolescents is positive, regardless of sex. However, in adults, the procedure has limited effectiveness in males.
Identification and Characterisation of the CircRNAs Involved in the Regulation of Leaf Colour in Quercus mongolica
Authors: Yuan Yangchen , Pang Xinbo , Pang Jiushuai , Wang Qian , Zhou Miaomiao , Lu Yan , Xu Chenyang , Huang Dazhuang
Published: March 2024

Circular RNAs (circRNAs) are important regulatory molecules involved in various biological processes. However, the potential function of circRNAs in the turning red process of Quercus mongolica leaves is unclear. This study used RNA-seq data to identify 6228 circRNAs in leaf samples from four different developmental stages and showed that 88 circRNAs were differentially expressed. A correlation analysis was performed between anthocyanins and the circRNAs. A total of 16 circRNAs that may be involved in regulating the colour of Mongolian oak leaves were identified. CircRNAs may affect the colour of Q. mongolica leaves by regulating auxin, cytokinin, gibberellin, ethylene, and abscisic acid. This study revealed the potential role of circRNAs in the colour change of Q. mongolica leaves.
Personalized Driver Gene Prediction Using Graph Convolutional Networks with Conditional Random Fields
Authors: Wei Pi-Jing , Zhu An-Dong , Cao Ruifen , Zheng Chunhou
Published: March 2024

Cancer is a complex and evolutionary disease mainly driven by the accumulation of genetic variations in genes. Identifying cancer driver genes is important. However, most related studies have focused on the population level. Cancer is a disease with high heterogeneity. Thus, the discovery of driver genes at the individual level is becoming more valuable but is a great challenge. Although there have been some computational methods proposed to tackle this challenge, few can cover all patient samples well, and there is still room for performance improvement. In this study, to identify individual-level driver genes more efficiently, we propose the PDGCN method. PDGCN integrates multiple types of data features, including mutation, expression, methylation, copy number data, and system-level gene features, along with network structural features extracted using Node2vec in order to construct a sample–gene interaction network. Prediction is performed using a graphical convolutional neural network model with a conditional random field layer, which is able to better combine the network structural features with biological attribute features. Experiments on the ACC (Adrenocortical Cancer) and KICH (Kidney Chromophobe) datasets from TCGA (The Cancer Genome Atlas) demonstrated that the method performs better compared to other similar methods. It can identify not only frequently mutated driver genes, but also rare candidate driver genes and novel biomarker genes. The results of the survival and enrichment analyses of these detected genes demonstrate that the method can identify important driver genes at the individual level.
Generalized Joint Hypermobility: A Statistical Analysis Identifies Non-Axial Involvement in Most Cases
Authors: Lamari Mateus Marino , Lamari Neuseli Marino , de Medeiros Michael Peres , Giacomini Matheus Gomes , Santos Adriana Barbosa , de Araújo Filho Gerardo Maria , Goloni-Bertollo Eny Maria , Pavarino Érika Cristina
Published: March 2024

Context: Joint hypermobility (JH) represents the extreme of the normal range of motion or a condition for a group of genetically determined connective tissue disorders. Generalized joint hypermobility (GJH) is suspected when present in all four limbs and the axial skeleton, scored in prepubescent children and adolescents by a Beighton Score (BS) ≥ 6. Parameters are also used to identify GJH in hypermobile Ehlers–Danlos syndrome (hEDS) and hypermobility spectrum disorders (HSDs). The purpose of this study is to characterize children with JH based on the location of variables in the BS ≥ 6 and identify children with JH in the axial skeleton, upper limbs (ULs), and lower limbs (LLs) simultaneously. Methods: We analyzed 124 medical records of one- to nine-year-old children with JH by BS. Results: The characterization of GJH by combinations of the axial skeleton, ULs, and LLs simultaneously totaled 25.7%. BS = 6 and BS = 8 consisted of variables located in ULs and LLs. BS = 7 included the axial skeleton, ULs, and LLs. BS ≥ 6 represents the majority of the sample and predominantly girls. Conclusions: BS ≥ 6 represents the majority of the sample and predominantly girls. Most characterized children with GJH present BS = 6 and BS = 8 with variables located only in ULs and LLs, a condition that does not imply the feature is generalized. In children, BS = 7 and BS = 9 characterize GJH by including the axial skeleton, ULs, and LLs. These results draw attention to the implications for defining the diagnosis of hEDS and HSDs.
MACNet: A More Accurate and Convenient Pest Detection Network
Authors: Hu Yating , Wang Qijin , Wang Chao , Qian Yu , Xue Ying , Wang Hongqiang
Published: March 2024

Pest detection: This process is essential for the early warning of pests in the agricultural sector. However, the challenges posed by agricultural pest datasets include but are not limited to species diversity, small individuals, high concentration, and high similarity, which greatly increase the difficulty of pest detection and control. To effectively solve these problems, this paper proposes an innovative object detection model named MACNet. MACNet is optimized based on YOLOv8s, introducing a content-based feature sampling strategy to obtain richer object feature information, and adopts distribution shifting convolution technology, which not only improves the accuracy of detection but also successfully reduces the size of the model, making it more suitable for deployment in the actual environment. Finally, our test results on the Pest24 dataset verify the good performance of MACNet; its detection accuracy reaches 43.1 AP which is 0.5 AP higher than that of YOLOv8s, and the computational effort is reduced by about 30%. This achievement not only demonstrates the efficiency of MACNet in agricultural pest detection, but also further confirms the great potential and practical value of deep learning technology in complex application scenarios.
Radiation Effects of Advanced Electronic Devices and Circuits
Authors: Chi Yaqing , Cai Chang , Cai Li
Published: March 2024

Research on the effects of radiation on advanced electronic devices and integrated circuits has experienced rapid growth over the last few years, resulting in many approaches being developed for the modeling of radiation’s effects and the design of advanced radiation-hardened electronic devices and integrated circuits [...]
Load Flow Assignments’ Definition from Day-Ahead Electricity Market Interconnection Power Flows: A Study for Transmission Networks
Authors: Fresia Matteo , Minetti Manuela , Procopio Renato , Bonfiglio Andrea , Lisciandrello Giuseppe , Orrù Luca
Published: March 2024

The mass introduction of renewable energy sources (RESs) presents numerous challenges for transmission system operators (TSOs). The Italian TSO, Terna S.p.A., aims to assess the impact of inverter-based generation on system inertia, primary regulating energy and short-circuit power for the year 2030, characterized by a large penetration of these sources. The initial working point of the Italian transmission network has to be defined through load flow (LF) calculations before starting dynamical analyses and simulations of the power system. Terna 2030 development plan projections enable the estimation of active power generation and load for each hour of that year in each Italian market zone, as well as cross-zonal active power flows; this dataset differs from conventional LF assignments. Therefore, in order to set up a LF analysis for the characterization of the working point of the Italian transmission network, LF assignments have to be derived from the input dataset provided by Terna. For this purpose, this paper presents two methods for determining canonical LF assignments for each network bus, aligning with the available data. The methodologies are applied to a simplified model of the Italian network, but they are also valid for other transmission networks with similar topology and meet the future needs of TSOs. The methods are tested at selected hours, revealing that both approaches yield satisfactory results in terms of compliance with the hourly data provided.
Hierarchical Control of Power Distribution in the Hybrid Energy Storage System of an Ultrafast Charging Station for Electric Vehicles
Authors: Blanch-Fortuna Alexandra , Zambrano-Prada David , López-Santos Oswaldo , Aroudi Abdelali El , Vázquez-Seisdedos Luis , Martinez-Salamero Luis
Published: March 2024

This paper presents a two-level hierarchical control method for the power distribution between the hybrid energy storage system (HESS) and the main dc bus of a microgrid for ultrafast charging of electric vehicles (EVs). The HESS is composed of a supercapacitor and a battery and is an essential part to fulfill the charging demand of EVs in a microgrid made up of a 220 VRMS ac bus, two dc buses of 600 V and 1500 V, respectively, and four charging points. A state machine defines the four operating modes of the HESS and establishes the conditions for the corresponding transitions among them, namely, charging the battery and the supercapacitor from the bus, injecting the current from the HESS into the 1500 V dc bus to ensure the power balance in the microgrid, regulating the bus voltage, and establishing the disconnection mode. The primary level of the control system regulates the current and voltage of the battery, supercapacitor, and dc bus, while the secondary level establishes the operating mode of the HESS and provides the appropriate references to the primary level. In the primary level, sliding mode control (SMC) is used in both the battery and supercapacitor in the inner loop of a cascade control that implements the standard constant current–constant voltage (CC-CV) charging protocol. In the same level, linear control is applied in the CV phase of the protocol and for bus voltage regulation or the current injection into the bus. PSIM simulations of the operating modes and their corresponding transitions verify the theoretical predictions.
Postbiotics from Lactobacillus delbrueckii Alleviate Intestinal Inflammation by Promoting the Expansion of Intestinal Stem Cells in S. Typhimurium-Induced Mice
Authors: Wang Mengting , Ren Yuting , Guo Xin , Ye Yanxin , Zhu Haining , Zhang Jiaqi , Huang Zan , Yu Kaifan
Published: March 2024

Previous studies have demonstrated that L. delbrueckii plays beneficial roles in modulating the gut microbiota, enhancing the intestinal barrier, and promoting animal growth. Postbiotics have a similar or even superior effect in protecting intestinal health compared to probiotics due to their excellent stability, extended shelf life, and safety. However, the protective effects and underlying mechanism of postbiotics from L. delbrueckii in intestinal inflammation remain unclear. In this study, we demonstrated the beneficial impact of postbiotics from L. delbrueckii on intestinal health by establishing a S. Typhimurium-induced intestinal inflammation model in mice, which included inactivated bacteria and supernatant. The results revealed that the probiotics and postbiotics from L. delbrueckii increased the survival rate and body weight of S. Typhimurium-induced mice, increased the level of IL-10, and decreased the levels of TNF-α and IL-6, thereby alleviating intestinal inflammation. Meanwhile, treatment with postbiotics decreased the levels of D-LA, DAO, and LPS and promoted the expression of Occludin, ZO-1, and Claudin-1 in the serum and jejunum, suggesting an improvement in intestinal barrier function by postbiotics. Additionally, the postbiotics modulated gut microbial diversity, increased the ratio of Firmicutes and Bacteroidetes, and restored the abundance of Muribaculaceae, Lachnospiraceae_NK4a136_groups, and Alloprevotella in S. Typhimurium-infected mice. Moreover, postbiotics from L. delbrueckii promoted the expansion of intestinal stem cells (ISCs) and increased the numbers of Paneth and Goblet cells. Taken together, these data revealed the beneficial role of postbiotics from L. delbrueckii in protecting against intestinal inflammation by promoting the expansion of ISCs.
Research on the Mechanism of Corn Price Formation in China Based on the PLS-SEM Model
Authors: Shen Xin , Qiu Cancheng
Published: March 2024

After the cancellation of the temporary corn storage system in 2016, the price of corn in China returned to market regulation, resulting in increased price volatility. This study focuses on monthly data from April 2016 to March 2023 in China. The partial least squares structural equation modeling (PLS-SEM) is employed to analyze the impact of corn supply and demand factors, substitute prices, monetary supply, international corn prices, and international energy prices on the volatility of corn prices in China. Results indicate that supply and demand factors are the most direct influencers of corn prices, with demand factors having the most significant impact. Monetary supply and substitute prices affect corn prices through the demand side. External factors mainly consist of international energy and corn prices. The impact of international energy on Chinese corn prices is achieved through international corn prices, which directly influence the prices in China. It is recommended to stabilize corn market prices by regulating corn supply and demand, to improve the monitoring and early warning mechanisms for international energy and corn prices, and to implement measures for prudent regulation of monetary supply.