bluuebunny/crossref_metadata_2025_split huggingface dataset:
Violations of Vietnamese laws related to the online marketing of breastmilk substitutes: Detections using a virtual violations detector
Authors: Backholer Kathryn , Nguyen Linh , Vu Duong , Ching Constance , Baker Phil , Mathisen Roger 
Published: August 2024

AbstractBreastfeeding rates in Vietnam, and globally, remain suboptimal. A major contributor to this is the aggressive marketing of commercial milk formulas (CMF), mainly through online media. The Vietnamese Government has implemented legal measures to limit CMF marketing, but these have been difficult to enforce, because of complex online environments. We aimed to quantify the extent and nature of online violations and contradictions in various Vietnamese laws related CMF marketing over 12 months in 2022. Using a cross‐sectional study design, we used an artificial intelligence‐enabled virtual violations detector (VIVID) to monitor official websites and social media pages of 25 breastmilk substitute (BMS) merchandise and distributors, every day for 12 months in 2022. Data were summarised descriptively. We detected more than 3000 online advertisements that violated or contradicted the intent of Vietnamese laws, involving almost 7000 violations of various articles within these laws (average 9.5 violations per day). More than 700 detections were related to CMF products being registered as “supplementary foods” or similar, thereby circumventing Vietnamese CMF marketing laws, because they are not registered as “BMS products. We demonstrate the need to strengthen the design, monitoring and enforcement of existing Vietnamese laws to eliminate mothers” exposure to the exploitative digital marketing of CMF. By turning a highly resource‐intensive task into one that is, automated requiring substantially less resources, our study represents the most comprehensive in Vietnam and internationally on the extent and nature of the online marketing of BMS. VIVID can be applied worldwide to hold industry accountable for the inappropriate marketing of CMF.
Why do preconception and pregnancy lifestyle interventions demonstrate limited success in preventing overweight and obesity in children? A scoping review investigating intervention complexity, process evaluation components, and author interpretations
Authors: Philippe Kaat , Teo Shevaun M. , Perrotta Carla , McAuliffe Fionnuala M. , Phillips Catherine M. 
Published: August 2024

SummaryPreventing childhood obesity from early life is considered essential. However, evidence from recent systematic reviews has highlighted inconsistent results and limited effectiveness of preconception and pregnancy lifestyle interventions regarding offspring weight outcomes and adiposity. Therefore, to improve our understanding regarding the mixed success of these early life interventions, we conducted a scoping review examining intervention complexity, process evaluation components, and authors' statements. Eligible articles (preconception or pregnancy lifestyle trials with offspring data beyond 1 month of age) were identified by searching databases (PubMed, Embase, and CENTRAL), previous reviews, and performing CLUSTER searches. The Intervention Complexity Assessment Tool for Systematic Reviews (iCAT_SR) was used to evaluate intervention complexity. A thematic analysis provided insight into process evaluation components and authors' interpretations. Finally, an expert consultation on the results was conducted. We identified 40 eligible publications corresponding to 27 trials. Only two trials started before conception. Potential reasons for interventions' limited success included the late intervention initiation, short intervention duration, and insufficient sample size. Few studies reported process evaluations and included stakeholder involvement, which are essential according to the expert group. We discuss current limitations and outline suggestions for future interventions in this field of research.
Involvement of PG1037 in the repair of 8‐oxo‐7,8‐dihydroguanine caused by oxidative stress in Porphyromonas gingivalis
Authors: Dou Yuetan , Mishra Arunima , Fletcher Hansel M. 
Published: August 2024

AbstractBackgroundThe PG1037 gene is part of the uvrA‐PG1037‐pcrA operon in Porphyromonas gingivalis. It encodes for a protein of unknown function upregulated under hydrogen peroxide (H2O2)‐induced oxidative stress. Bioinformatic analysis shows that PG1037 has a zinc‐finger motif, two peroxidase motifs, and one cytidylate kinase domain. The aim of this study is to characterize further the role of the PG1037 recombinant protein in the unique 8‐oxoG repair system in P. gingivalis.Materials and MethodsPG1037 recombinant proteins with deletions in the zinc‐finger or peroxidase motifs were created. Electrophoretic mobility shift assays were used to evaluate the ability of the recombinant proteins to bind 8‐oxoG‐containing oligonucleotides. Zinc binding, peroxidase, and Fenton reaction assays were used to assess the functional roles of the rPG1037 protein. A bacterial adenylate cyclase two‐bride assay was used to identify the partner protein of PG1037 in the repair of 8‐oxoG.ResultsThe recombinant PG1037 (rPG1037) protein carrying an N‐terminal His‐tag demonstrated an ability to recognize and bind 8‐oxoG‐containing oligonucleotide. In contrast to the wild‐type rPG1037 protein, the zinc‐finger motif deletion resulted in the loss of zinc and 8‐oxoG binding activities. A deletion of the peroxidase motif‐1 showed a decrease in peroxidase activity. Using a bacterial adenylate cyclase two‐hybrid system, there was no observed protein‐protein interaction of PG1037 with UvrA (PG1036), PcrA (PG1038), or mismatch repair system proteins.ConclusionsTaken together, the results show that PG1037 is an important member of a novel mechanism that recognizes and repairs oxidative stress‐induced DNA damage in P. gingivalis.
The Effect of the Morphology of the Femur and Acetabulum in Dysplastic Hips on the Selection of Arthroplasty Femoral Implants: A Computer Tomography‐Based Study
Authors: Chen Xi , Li Songlin , Liu Xingyu , Xu Hongjun , Wang Qinlu , Zhang Yiling , Qian Wenwei 
Published: August 2024

ObjectivesDue to the technical challenges associated with femoral reconstruction in total hip arthroplasty for patients with developmental dysplasia of the hip (DDH), the exact indications for using femoral modular stems, despite their satisfactory clinical outcomes, remain poorly investigated. This study sought to assess the morphology of the femur and acetabulum, and to investigate the discriminative ability of femoral anteversion (FA), acetabular anteversion (AA), and combined anteversion (CA) on the selection of femoral modular stem in dysplastic hips.MethodsRetrospective data were collected from multiple centers on a total of 230 cases who underwent THA due to DDH from January 1, 2020, to March 1, 2023. There were 46 males and 184 females, with an average age of 51.57 ± 14.87. Patients were stratified according to Crowe and Eftekhar classifications. FA, AA, and CA were measured using computed tomography (CT). The distribution of these indices in different grades of dysplastic hips was compared, and the correlation between these indices and the selection of femoral modular stem was analyzed. Receiver operating characteristic (ROC) and likelihood statistics were performed to investigate the discriminating and predictive value of each index in selecting modular stem.ResultsTwo hundred and thirty hips were included in the study. FA increased as the subluxation percentage increased: type I, 21.5°; type II, 28.6°; type III, 34.9°; and type IV, 39.7°. AA was smaller in type I (16.9°) and higher in types II, III, and IV (18.9–22.6°). The area under the curve for the modular stem was 0.87 for FA, 0.86 for CA, and 0.65 for AA. The optimal cutoff values were FA > 32.6°, CA > 50.7°, and AA > 23.3°.ConclusionExcessive AA and femoral anteversion FA were observed in Crowe types II, III, and IV cases. FA and CA demonstrated strong discriminative ability and predictive value in the selection of a modular stem. The best cutoff values were ≥32.6° for FA and ≥50.7° for CA in discriminating the use of modular stem. Surgeons may contemplate the use of a modular stem when the preoperative evaluation approaches the cutoff value.
Identification of QTL Associated With Luteolin Content in Peanut (Arachis hypogaea L.) Shells
Authors: Zou Kunyan , Choi Minjae , Lee Jeong‐Dong , Kim Kyung Do , Lim Hyeon Do , Kim Ki‐Seung , Jun Tae‐Hwan 
Published: August 2024

ABSTRACTInvestigating the inheritance and genetic variation of luteolin content in peanut shells is pivotal for developing improved cultivars with high luteolin content. In this study, we developed a genetic map spanning 976.8 cM using 115 highly advanced recombinant inbred lines (RILs) and the Axiom_Arachis array containing 58K single‐nucleotide polymorphisms (SNPs). Quantitative trait locus (QTL) analysis was then performed using phenotype data from 2‐year field trials. From these analyses, we identified three significant QTLs with 4.1%–11.7% phenotypic variation explained (PVE) for luteolin content in peanut shells. We further identified five candidate genes with putative functions suggesting possible involvement in plant flavonoid and terpenoid biosynthetic pathways in peanut luteolin biosynthesis. Additionally, two new peanut inbreeding lines with high luteolin and oleic acid levels were selected and are expected to be used as multifunctional genomic backgrounds for future breeding and research programs. The information on the QTL regions and candidate genes from the present study could be very useful for developing new peanut cultivars with high luteolin content and for identifying the genetic/genomic determinants of luteolin content in peanut shells.
Genetic and Phenotypic Trends for Production and Reproduction Traits in Murrah Buffaloes
Authors: Sharma Rohit , Dahiya Satpal , Bangar Yogesh Chandrakant , Hada Renuka , Yadav Dipin Chander 
Published: August 2024

ABSTRACTThe objective of the study was to estimate genetic and phenotypic trends for first lactation production and reproduction traits in Murrah buffaloes. The information of pedigree and targeted traits of 640 Murrah buffaloes was collected for the period from 1997 to 2020. The first lactation production traits included first lactation milk yield (FLMY), 305 days first lactation milk yield (305FLMY), first lactation length (FLL), first lactation peak yield (FPY) whereas reproduction traits included first service period (FSP), first calving interval (FCI) and first dry period (FDP). Genetic and phenotypic trends were estimated. Phenotypic trends for FLMY, 305FLMY, FLL and FPY exhibited as 36.96 ± 8.58 kg/year, 31.93 ± 8.34 kg/year, 1.47 ± 0.55 days/year and 0.12 ± 0.02 kg/year, respectively and respective genetic trends exhibited as 3.73 ± 1.67 kg/year, 1.94 ± 0.76 kg/year, −0.15 ± 0.07 days/year and 0.01 ± 0.01 kg/year, respectively. It was revealed that there were significant (p < 0.05) and positive phenotypic trends for all production traits while genetic trends were significant (p < 0.05) for FLMY and 305FLMY traits. The phenotypic trends of studied reproductive traits indicated that only FDP trait significantly (p < 0.01) decreased (1.87 days/year) over time. For FSP and FCI traits, nonsignificant (p > 0.05) genetic and phenotypic trends indicated no change over time. This study highlighted potential challenges in maintaining reproductive efficiency alongside productivity improvements in Murrah buffaloes.
Cervix–Deep Rectal Temperature Differential on the Day of Ovulation is Correlated With Embryo Recovery Results in Mares
Authors: Funes Javier , Ismer Ann , Hoogewijs Maarten , Wilsher Sandra 
Published: August 2024

ABSTRACTVariations in temperature throughout the reproductive tract have been noted in many species. A recent study found the cervix–rectum temperature differential (CR‐TD) in cattle was related to fertility. The present study aimed to assess the CR‐TD in mares around the time of ovulation and relate it to embryo recover. Over 52 cycles, mares were inseminated with a fertile stallion and embryo recovery was undertaken on Day 7 post ovulation. Further 10 control mares were not inseminated. Rectal and cervical temperatures were measured using a precision thermometer on four or five occasions: the day of deslorelin administration and insemination, the day before ovulation, the day of ovulation (Day 0), the day after ovulation and, for inseminated mares, before embryo recovery on Day 7. One‐way ANOVA showed that the CR‐TD was significantly lower on the day of ovulation in the 36 positive cycles, in which an embryo was recovered, versus the 16 in which the embryo flush was negative (0.21 ± 0.17 vs. 0.40 ± 0.09°C; p < 0.001). Control cycles showed equivalent CR‐TD to positive (0.13 ± 0.22 vs. 0.21 ± 0.17°C; p = 0.196) but not negative cycles (0.13 ± 0.22 vs. 0.40 ± 0.09°C; p < 0.001). A positive embryo recovery was associated with lower CR‐TDs from the time of insemination and deslorelin to the day after ovulation compared to the day of embryo flushing (RM ANOVA; p < 0.001; Pairwise comparisons; p ≤ 0.01, in all cases). Rectal or cervical temperatures per se showed no significant differences between positive, negative or control cycles at any time point. In conclusion, a thermoregulatory process occurs close to ovulation which results in a lower CR‐TD in cycles that produced an embryo versus those which did not. Further characterisation of TDs within the reproductive tract of the mare would increase our understanding of the conditions required for optimum fertility.
Transforming Motion Into Sound: A Novel Sonification Approach for Teams of Mobile Robots
Authors: Kacem Amal , Zbiss Khalil , Mohammadi Alireza 
Published: August 2024

Abstract
Despite the inherent need for enhancing human-robot interaction (HRI) by non-visually communicating robotic movements and intentions, the application of bonification (the translation of data into audible information) within the field of robotics remains underexplored. This paper investigates the problem of designing sonification algorithms that translate the motion of teams of industrial mobile robots to non-speech sounds. Our proposed solution leverages the wave space sonification (WSS) framework and utilizes localized wave fields with specific orientations within the system configuration space. This WSS-based algorithm generates sounds from the motion data of mobile robots so that the resulting audio exhibits a chosen timbre when the robots pass near designated configurations or move along desired directions. To demonstrate its versatility, the WSS-based sonification algorithm is applied to a team of OMRON LD series autonomous mobile robots, sonifying their motion patterns with pure tonal sounds.
Modelling Posture-Dependent Denavit-Hartenberg Errors of a Six-Axis Robotic Manipulator
Authors: Cui Tianhao , Ibaraki Soichi 
Published: August 2024

Abstract
Industrial robots are increasingly considered as a potential alternative especially for machining tasks while the poor positioning accuracy prevented it from broader application. Model-based compensation, which improves the accuracy of a nominal model by incorporating additional error parameters, is acknowledged as an effective and efficient solution. In such a compensation, the precision of the kinematic model’s predictions is crucial for achieving high accuracy robotic machining. Many researchers employed the conventional Denavit-Hartenberg (D-H) error model, which describes the kinematic errors by positional and orientational deviations of axis average lines. However, it has been noticed that the identification results of D-H errors could vary with the posture of downstream axes. Such phenomena cannot be properly captured by a set of static D-H error parameters. This research introduces a novel modelling scheme that contains posture-dependent D-H errors. Validation results demonstrate that the proposed posture-dependent model improves the positioning accuracy of the investigated robot with satisfactory performance, which reveals the posture-dependent properties of D-H errors.
A Proposal of Production Planning Method Including Parts Allocation Change for Realization of Mass Customization
Authors: Kokuryo Daisuke , Kaihara Toshiya , Tsutsui Shinsuke , Harano Kenichi , Nomura Yasuhiro 
Published: August 2024

Abstract
To realize mass-customization, it is important to have a production planning method that takes into account fluctuations in demand for each product, including customized products, and changes in production conditions. We have proposed a production planning method that takes advantage of the modularity of parts and changes parts allocation based on indicators of due dates and processing progress. In this paper, we propose a production planning method that integrates make-to-stock production for standard products including parts inventory replenishment and order production for customized products that respond to demand fluctuations by changing parts allocation. In the planning phase, the proposed method creates an appropriate processing schedule that takes into account additions to the parts inventory using a combinatorial auction technique. In the operational phase, the proposed method introduces parts allocation from inventory stock and dynamic parts allocation changes for achievement of due date and improvement of production efficacy. Computer experiments are conducted to verify its effectiveness.
Development of Training Simulator With Graphs of Operational Status for Efficient Acquisition of Pouring Skill in Casting Industry
Authors: Miura Takumi , Noda Yoshiyuki 
Published: August 2024

Abstract
This paper contributes to a training simulator for acquiring efficiently skill of pouring work in casting industry. The real pouring process is dangerous environment for the worker because treatment of the high temperature molten metal. On the other hand, the skilled operation is required for pouring precisely the molten metal into the mold. Therefore, we develop the training simulator for acquiring safely the skill of pouring work using the computer simulation technology in this study. In the developed simulator, the operational status of the pouring work can be indicated quantitatively with the graphic representation for acquiring efficiently the skill of pouring work. The efficacy of the developed training simulator was verified by the training experiments.
Developing a Research Instrument to Capture and Understand the Individual Perception of Artificial Intelligence and Automation in Manufacturing
Authors: Kumar Pavan , Adebayo Oredola , Patel Apurva , Summers Joshua D. 
Published: August 2024

Abstract
The continued rise of manufacturing automation and the prospect of integrating artificial intelligence in manufacturing environments renews the need for understanding how different stakeholders within an organization perceive the implementation of such technologies. This paper presents a research instrument designed to capture and understand perceptions of employees at different levels of an organization. A multimodal data collection approach is used to gather participant responses using surveys, focus group discussions, and interviews. Qualitative and quantitative data collected from six manufacturing companies is analyzed to identify general themes in terms of participation, communication, level of understanding, and alignment to company goals. Definitions provided by participants are also analyzed to determine participant level of familiarity with concepts of AI and automation. The study demonstrates the usability of the research instrument. Preliminary findings suggest that many of the companies are ill prepared for implementing artificial intelligence in their organizations. Finally, future analysis of the collected data is discussed, and potential improvements to the research instrument are presented.
Akkermansia muciniphila
alleviates abdominal aortic aneurysms via restoring CITED2 activated by EPAS1
Authors: Wang Siqing , Shi Hang , Cheng Yue , Jiang Lei , Lou Yang , Kumar Manish , Sun Mingfei , Shao Xianze , Zhao Xuan , Wang Baichun 
Published: August 2024

ABSTRACT

Abdominal aortic aneurysm (AAA) is a life-threatening cardiovascular disease that has been linked to gut microbiome dysbiosis. Therefore, this study aims to investigate the effects of
Akkermansia muciniphila
(
Am
) on AAA mice and the biomolecules involved. AAA mice were generated using angiotensin II (Ang II), and 16sRNA sequencing was used to identify an altered abundance of microbiota in the feces of AAA mice. Vascular smooth muscle cell (VSMC) markers and apoptosis, and macrophage infiltration in mouse aortic tissues were examined. The abundance of
Am
was reduced in AAA mouse feces, and endothelial PAS domain-containing protein 1 (EPAS1) was downregulated in AAA mice and VSMC induced with Ang II.
Am
delayed AAA progression in mice, which was blunted by knockdown of EPAS1. EPAS1 was bound to the Cbp/p300-interacting transactivator 2 (CITED2) promoter and promoted CITED2 transcription. CITED2 reduced VSMC apoptosis and delayed AAA progression. Moreover, EPAS1 inhibited macrophage inflammatory response by promoting CITED2 transcription. In conclusion, gut microbiome dysbiosis in AAA induces EPAS1-mediated dysregulation of CITED2 to promote macrophage inflammatory response and VSMC apoptosis.
Screening college athletes for sexual violence: athletes’ experiences and opinions on best practices
Authors: DeStefano Sherilyn , Peterson Emily , Pham Derek C , Jackson Nicholas J , Tarn Derjung M , Florczyk Dena , Nattiv Aurelia 
Published: August 2024

ObjectivesCollege athletes are at elevated risk for sexual violence, yet few formally report it and screening for sexual violence is uncommon. This study aimed to evaluate the nature of screening occurring among college athletes and collect athletes’ opinions on how best to screen for sexual violence.MethodsThis was a mixed-methods study combining a cross-sectional survey with small group interviews. Intercollegiate and club athletes 18 years and older at a division I institution were recruited to complete an online, anonymous survey. Those who completed the survey were invited to participate in follow-up interviews. Quantitative data were analysed using descriptive statistics and qualitative data were analysed inductively using thematic analysis.Results165 athletes completed the survey. Only 25% of respondents reported past screening for any type of interpersonal violence, and only 22% reported past screening for sexual abuse and 21% for sexual harassment. 12 student–athletes participated in follow-up interviews. Athletes suggested several best practices including normalising conversation about sexual violence, empowering athletes to maintain a sense of control around disclosure, building trust and providing multiple opportunities for discussion and disclosure.ConclusionLess than one-quarter of athletes in this study have been screened for sexual violence. Sensitive and effective screening practices should include providing safe environments, initiating the conversation, offering multiple opportunities for disclosure, and ensuring personnel completing screening are knowledgeable on what to do in case of a disclosure. These can inform screening and educational practices to decrease stigma, support those affected and ultimately decrease the incidence of sexual violence victimisation.