bluuebunny/crossref_metadata_2025 huggingface dataset:
Effectiveness of Two Models of Telerehabilitation in Improving Recovery from Subacute Upper Limb Disability after Stroke: Robotic vs. Non-Robotic
Authors: Pavan Arianna , Fasano Alessio , Lattanzi Stefania , Cortellini Laura , Cipollini Valeria , Insalaco Sabina , Mauro Maria Cristina , Germanotta Marco , Aprile Irene Giovanna
Published: September 2024

Background/Objectives: Finding innovative digital solutions is fundamental to ensure prompt and continuous care for patients with chronic neurological disorders, whose demand for rehabilitation also in home-based settings is steadily increasing. The aim is to verify the safety and the effectiveness of two telerehabilitation (TR) models in improving recovery from subacute upper limb (UL) disability after stroke, with and without a robotic device. Methods: One hundred nineteen subjects with subacute post-stroke UL disability were assessed for eligibility. Of them, 30 patients were enrolled in the study and randomly assigned to either the Robotic Group (RG), undergoing a 20-session TR program, using a robotic device, or the Non-Robotic Group (NRG), undergoing a 20-session TR program without robotics. Clinical evaluations were measured at baseline (T0) and post-intervention (T1, 5 weeks after baseline), and included assessments of quality of life, motor skills, and clinical/functional status. The primary outcome measure was the World Health Organization Disability Assessment Schedule 2.0, evaluating the change in perceived disability. Results: Statistical analysis shows that patients of both groups improved significantly over time in all domains analyzed (mean decrease from baseline in the WHODAS 2.0 of 6.09 ± 2.62% for the NRG, and of 0.76 ± 2.21% for the RG), with a greater improvement of patients in the NRG in motor (Fugl-Meyer Assessment Upper Extremity—motor function, Box and Block Test) and cognitive skills (Trail Making Test-A). Conclusions: This study highlights the potential of TR programs to transform stroke rehabilitation by enhancing accessibility and patient-centered care, promoting autonomy, improving adherence, and leading to better outcomes and quality of life for stroke survivors.
The Effect of Social Information Processing, Self-Regulation and Metacognition on Theory of Mind: Path Analysis
Authors: Keleş Ertürk Canan , Tepeli Kezban
Published: September 2024

Objectives: The main purpose of the current study was to examine the effects of social information processing, self-regulation, and metacognition variables on ToM using path analysis. Methods: For this purpose, path analysis was conducted for the model established according to the relationships between the variables. Theory of mind task battery (ToMTB), Metacognitive Knowledge Interview (McKI), Schultz Test of Emotion Processing—Preliminary Version (STEP-P), and self-regulation scale were administered to 310 children aged 3–5 years. Results: The results show that social information processing (except STEP-P.P.B, one of the sub-dimensions of the STEP-P scale) has a significant effect on ToM through metacognition and self-regulation. Conclusions: In this context, it can be said that social information processing, metacognition, and self-regulation are effective in the development of ToM.
Transcutaneous Auricular Vagus Nerve Stimulation Modulating the Brain Topological Architecture of Functional Network in Major Depressive Disorder: An fMRI Study
Authors: Guo Zhi-Peng , Liao Dan , Chen Lei , Wang Cong , Qu Miao , Lv Xue-Yu , Fang Ji-Liang , Liu Chun-Hong
Published: September 2024

Background: Transcutaneous auricular vagus nerve stimulation (taVNS) is effective in regulating mood and high-level cognition in patients with major depressive disorder (MDD). This study aimed to investigate the efficacy of taVNS treatment in patients with MDD and an altered brain topological organization of functional networks. Methods: Nineteen patients with MDD were enrolled in this study. Patients with MDD underwent 4 weeks of taVNS treatments; resting-state functional magnetic resonance imaging (rs-fMRI) data of the patients were collected before and after taVNS treatment. The graph theory method and network-based statistics (NBS) analysis were used to detect abnormal topological organizations of functional networks in patients with MDD before and after taVNS treatment. A correlation analysis was performed to characterize the relationship between altered network properties and neuropsychological scores. Results: After 4 weeks of taVNS treatment, patients with MDD had increased global efficiency and decreased characteristic path length (Lp). Additionally, patients with MDD exhibited increased nodal efficiency (NE) and degree centrality (DC) in the left angular gyrus. NBS results showed that patients with MDD exhibited reduced connectivity between default mode network (DMN)–frontoparietal network (FPN), DMN–cingulo-opercular network (CON), and FPN–CON. Furthermore, changes in Lp and DC were correlated with changes in Hamilton depression scores. Conclusions: These findings demonstrated that taVNS may be an effective method for reducing the severity of depressive symptoms in patients with MDD, mainly through modulating the brain’s topological organization. Our study may offer insights into the underlying neural mechanism of taVNS treatment in patients with MDD.
Lenition in L2 Spanish: The Impact of Study Abroad on Phonological Acquisition
Authors: Wayland Ratree , Meyer Rachel , Vellozzi Sophia , Tang Kevin
Published: September 2024

Objective: This study investigated the degrees of lenition, or consonantal weakening, in the production of Spanish stop consonants by native English speakers during a study abroad (SA) program. Lenition is a key phonological process in Spanish, where voiced stops (/b/, /d/, /ɡ/) typically weaken to fricatives or approximants in specific phonetic environments. For L2 learners, mastering this subtle process is essential for achieving native-like pronunciation. Methods: To assess the learners’ progress in acquiring lenition, we employed Phonet, a deep learning model. Unlike traditional quantitative acoustic methods that focus on measuring the physical properties of speech sounds, Phonet utilizes recurrent neural networks to predict the posterior probabilities of phonological features, particularly sonorant and continuant characteristics, which are central to the lenition process. Results: The results indicated that while learners showed progress in producing the fricative-like variants of lenition during the SA program and understood how to produce lenition in appropriate contexts, the retention of these phonological gains was not sustained after their return. Additionally, unlike native speakers, the learners never fully achieved the approximant-like realization of lenition. Conclusions: These findings underscore the need for sustained exposure and practice beyond the SA experience to ensure the long-term retention of L2 phonological patterns. While SA programs offer valuable opportunities for enhancing L2 pronunciation, they should be supplemented with ongoing support to consolidate and extend the gains achieved during the immersive experience.
Repetitive Transcranial Magnetic Stimulation for the Treatment of Depression in a Real-World Setting: Findings from a Cohort Study
Authors: Prodi Tiziano , Pezzullo Gabriele , La Monica Kevin , Priori Alberto , Vismara Matteo , Dell’Osso Bernardo , Benatti Beatrice
Published: September 2024

Background/Objectives: In the past two decades, significant advancements in neuromodulation techniques have occurred, such as transcranial magnetic stimulation (TMS) for treatment-resistant depression (TRD). According to the assumption that repeated stimulation within a condensed timeframe can yield sustained efficacy, an accelerated protocol may be more effective in reducing time to response. With those premises, this study aimed to evaluate a sample of TRD patients treated with standard repetitive TMS (rTMS) and accelerated rTMS (arTMS). Methods: Nine subjects were treated with standard rTMS and 19 with arTMS. Psychometric assessment was made at the baseline and one week, one month, and three months after the treatment. A linear mixed-effect regression was performed along with other appropriate statistical analyses. Results: A significant improvement over time was observed for both depressive and cognitive symptoms. Moreover, considering the reduction in the Montgomery–Asberg Depression Rating Scale scores, a better treatment response was observed in subjects treated with arTMS (p < 0.05). Conclusions: Our findings showed a significant difference between the two protocols in terms of clinical response. Although further studies are needed to confirm the superiority of arTMS, the better cost-effectiveness of this technique should be considered.
Assessing Language Lateralization through Gray Matter Volume: Implications for Preoperative Planning in Brain Tumor Surgery
Authors: Solomons Daniel , Rodriguez-Fernandez Maria , Mery-Muñoz Francisco , Arraño-Carrasco Leonardo , Costabal Francisco Sahli , Mendez-Orellana Carolina
Published: September 2024

Background/Objectives: Functional MRI (fMRI) is widely used to assess language lateralization, but its application in patients with brain tumors can be hindered by cognitive impairments, compensatory neuroplasticity, and artifacts due to patient movement or severe aphasia. Gray matter volume (GMV) analysis via voxel-based morphometry (VBM) in language-related brain regions may offer a stable complementary approach. This study investigates the relationship between GMV and fMRI-derived language lateralization in healthy individuals and patients with left-hemisphere brain tumors, aiming to enhance accuracy in complex cases. Methods: The MRI data from 22 healthy participants and 28 individuals with left-hemisphere brain tumors were analyzed. Structural T1-weighted and functional images were obtained during three language tasks. Language lateralization was assessed based on activation in predefined regions of interest (ROIs), categorized as typical (left) or atypical (right or bilateral). The GMV in these ROIs was measured using VBM. Linear regressions explored GMV-lateralization associations, and logistic regressions predicted the lateralization based on the GMV. Results: In the healthy participants, typical left-hemispheric language dominance correlated with higher GMV in the left pars opercularis of the inferior frontal gyrus. The brain tumor participants with atypical lateralization showed increased GMV in six right-hemisphere ROIs. The GMV in the language ROIs predicted the fMRI language lateralization, with AUCs from 80.1% to 94.2% in the healthy participants and 78.3% to 92.6% in the tumor patients. Conclusions: GMV analysis in language-related ROIs effectively complements fMRI for assessing language dominance, particularly when fMRI is challenging. It correlates with language lateralization in both healthy individuals and brain tumor patients, highlighting its potential in preoperative language mapping. Further research with larger samples is needed to refine its clinical utility.
Impact of Comorbid Personality Disorder on the Risk of Involuntary Hospitalization in Patients Referred for Urgent Forensic Assessment: A Cross-Sectional Study
Authors: Dossa Axel , Hein Matthieu , Bikrani Oussama , Wacquier Benjamin , Point Camille
Published: September 2024

Background/Objectives: In Belgium, involuntary psychiatric hospitalization is authorized in the presence of certain criteria governed by the law relating to the protection of the mentally ill. The number of involuntary hospitalizations has been increasing continuously in recent years. Since personality disorders are frequent comorbidities in involuntarily hospitalized patients, the aim of this study was to investigate the potential role played by comorbid personality disorders in the decisions about involuntary hospitalization made during urgent forensic assessment. Methods: A total of 565 individuals were retrospectively recruited from the database of urgent forensic assessment carried out in the Psychiatric Emergency Department. Logistic regression analyses were performed to investigate the risk of involuntary hospitalization associated with comorbid personality disorders in patients referred for urgent forensic assessment. Results: 66.7% of urgent forensic assessments resulted in involuntary hospitalization. In addition, comorbid personality disorders (especially borderline personality disorder) were associated with a lower risk of involuntary hospitalization in patients referred for urgent forensic assessment. Conclusions: In this study, we demonstrated that urgent forensic assessments frequently result in involuntary hospitalizations. Furthermore, this study highlighted that comorbid personality disorders (especially borderline personality disorder) appeared to have a major impact on the decision not to involuntarily hospitalize patients referred for urgent forensic assessment. These elements therefore justify the establishment of adequate clinical reflection to avoid the stigmatization related to these frequent comorbidities in patients at risk of involuntary hospitalization.
The Impact of Revascularization Surgery on Headaches in Association with Cerebrovascular Reactivity in Patients with Moyamoya Angiopathy
Authors: Gallego Moyano Francy D. , Janssen Helena C. , Venkatraghavan Lashmi , Mikulis David J. , Andrade Barazarte Hugo , Radovanovic Ivan , Hendriks Eef J. , Schaafsma Joanna D.
Published: September 2024

Background/Objectives: Headaches in Moyamoya angiopathy are common but poorly understood. We aimed to investigate if headaches in Moyamoya angiopathy improve after revascularization surgery and whether this is associated with improvement in cerebrovascular reactivity on MRI (CVR-MRI). Methods: We included consecutive adult patients with Moyamoya angiopathy who had chart data on headaches, CVR-MRI, and underwent extracranial–intracranial bypass surgery between January 2010 and September 2022 at a tertiary neurovascular referral center. Clinical and CVR-MR imaging data of all patients were collected through systematic chart review, complemented by standard-of-care headache questionnaires from patients who were operated between 2018 and 2022. We evaluated headache features and explored the association between headaches and CVR before and after revascularization surgery. Results: Fifty-nine patients were included (mean age 47 ± 14 years, 43 females (73%)); among them, 41/59 (69%) reported headaches pre-surgery. Headache improved in 28/41 (68%) patients after revascularization surgery with a reduction in pain severity (median VAS-score from 5/10 to 2.5/10; p = 0.002), analgesic use (from 84% to 40%; p = 0.007), and sick leave (from 60% to 16%; p < 0.001). Improvement in headaches was associated with improvement in CVR (OR 5.3; 95% CI: 1.2–23.5) and sick leave reduction (OR 1.4; 95% CI: 1.6–121.4). Conclusions: Headaches in Moyamoya angiopathy are common and disabling. They may improve in most patients after revascularization surgery and seem to be associated with improvement in CVR, supporting the hypothesis of a potential vascular origin of the headaches.
Post-Movement Beta Synchrony Inhibits Cortical Excitability
Authors: Rhodes Edward , Gaetz William , Marsden Jonathan , Hall Stephen D.
Published: September 2024

Background/Objectives: This study investigates the relationship between movement-related beta synchrony and primary motor cortex (M1) excitability, focusing on the time-dependent inhibition of movement. Voluntary movement induces beta frequency (13–30 Hz) event-related desynchronisation (B-ERD) in M1, followed by post-movement beta rebound (PMBR). Although PMBR is linked to cortical inhibition, its temporal relationship with motor cortical excitability is unclear. This study aims to determine whether PMBR acts as a marker for post-movement inhibition by assessing motor-evoked potentials (MEPs) during distinct phases of the beta synchrony profile. Methods: Twenty-five right-handed participants (mean age: 24 years) were recruited. EMG data were recorded from the first dorsal interosseous muscle, and TMS was applied to the M1 motor hotspot to evoke MEPs. A reaction time task was used to elicit beta oscillations, with TMS delivered at participant-specific time points based on EEG-derived beta power envelopes. MEP amplitudes were compared across four phases: B-ERD, early PMBR, peak PMBR, and late PMBR. Results: Our findings demonstrate that MEP amplitude significantly increased during B-ERD compared to rest, indicating heightened cortical excitability. In contrast, MEPs recorded during peak PMBR were significantly reduced, suggesting cortical inhibition. While all three PMBR phases exhibited reduced cortical excitability, a trend toward amplitude-dependent inhibition was observed. Conclusions: This study confirms that PMBR is linked to reduced cortical excitability, validating its role as a marker of motor cortical inhibition. These results enhance the understanding of beta oscillations in motor control and suggest that further research on altered PMBR could be crucial for understanding neurological and psychiatric disorders.
Studyholism and Attachment Style: A Study among Italian University Students
Authors: Loscalzo Yura , Giannini Marco
Published: September 2024

Studyholism (or obsession with studying) is a new potential clinical condition introduced in the literature in 2017. Since then, growing research has supported its conceptualization as a clinical disorder and highlighted some potential intervention targets, namely trait worry, social anxiety, negative interpretation bias, and defense mechanisms. The present study aims to extend the literature concerning psychodynamic-related constructs that might constitute targets for interventions aimed at reducing Studyholism by investigating the role of attachment in 1073 students (Mage = 23.48 ± 3.77), balanced concerning civil status (i.e., currently being single or involved in a relationship/non-single). Among the main findings, we found that insecure attachment—mainly preoccupied attachment—is a positive predictor of Studyholism in both non-single and single students. However, there are also some differences depending on the civil status. Finally, (single) disengaged studyholics have a statistically significant lower level of secure attachment than (single) engaged studyholics. In conclusion, this study showed the value of distinguishing between non-single and single students when investigating the role of attachment. Regarding problematic overstudying specifically, the study provided support for its definition as a clinical disorder, also with evidence of the appropriateness of its OCD-related conceptualization. Finally, it suggests preoccupied (insecure) attachment as a target to reduce Studyholism by fostering in students the feeling of being loved and deserving of being loved in their current adult relationships.
Influence of Internet Use on Happiness in China: Mediating Effects of Environmental Quality Perception and Moderating Role of Sense of Environmental Security
Authors: Huang Xiaorui , Fu Mingqi
Published: September 2024

This study aims to comprehensively examine the effects of different types of Internet use and happiness while considering the mediating role of environmental quality perception and the moderating role of a sense of environmental security. Drawing on the uses and gratifications theory, negativity bias, and social cognitive theory, the study investigates the mediating role of environmental quality perception and the moderating role of environmental security in the above relationship. Using data from 3162 respondents in the 2021 Chinese Social Survey (CSS) and Structural Equation Modeling (SEM), the study finds that Internet use for information and educational purposes significantly enhances happiness, with environmental quality perception acting as a mediator. Moreover, a moderating effect of environmental security was observed in the relationship between Internet use for educational purposes and national environmental quality perception. Specifically, the interaction between study-related Internet use and the sense of environmental security significantly and positively predicted national environmental quality perception. These findings highlight the complex interaction between Internet use, environmental factors, and happiness, offering insights into policy interventions aimed at improving Internet access and environmental awareness to enhance public mental health outcomes in China.
Fatigue Life Predictions Using a Novel Adaptive Meshing Technique in Non-Linear Finite Element Analysis
Authors: Thiruvannamalai M. , Venkatesan P. Vincent @ , Chellapandian Maheswaran
Published: September 2024

Fatigue is a common issue in steel elements, leading to microstructural fractures and causing failure below the yield point of the material due to cyclic loading. High fatigue loads in steel building structures can cause brittle failure at the joints and supports, potentially leading to partial or total damage. The present study deals with accurate prediction of the fatigue life and stress intensity factor (SIF) of pre-cracked steel beams, which is crucial for ensuring their structural integrity and durability under cyclic loading. A computationally efficient adaptive meshing tool, known as Separative Morphing Adaptive Remeshing Technology (SMART), in ANSYS APDL is employed to create a reliable three-dimensional finite element model (FEM) that simulates fatigue crack growth with a stress ratio of “R = 0”. The objective of this research is to examine the feasibility of using a non-linear FE model with an adaptive meshing technique, SMART, to predict the crack growth, fatigue life, and SIF on pre-cracked steel beams strengthened with FRP. Through a comprehensive parametric analysis, the effects of different types of FRPs (carbon and glass) and fiber orientations (θ = 0° to 90°) on both the SIF and fatigue life are evaluated. The results reveal that the use of longitudinally oriented FRP (θ = 0°) significantly reduces the SIF, resulting in substantial improvements in the fatigue life of up to 15 times with CFRP and 4.5 times with GFRP. The results of this study demonstrate that FRP strengthening significantly extends the fatigue life of pre-cracked steel beams, and the developed FE model is a reliable tool for predicting crack growth, SIF, and fatigue life.
BIoT Smart Switch-Embedded System Based on STM32 and Modbus RTU—Concept, Theory of Operation and Implementation
Authors: Zagan Ionel , Găitan Vasile Gheorghiță
Published: September 2024

Considering human influence and its negative impact on the environment, the world will have to transform the current energy system into a cleaner and more sustainable one. In residential as well as office buildings, there is a demand to minimize electricity consumption, improve the automation of electrical appliances and optimize electricity utilization. This paper describes the implementation of a smart switch with extended facilities compared to traditional switches, such as visual indication of evacuation routes in case of fire and acoustic alerts for emergencies. The proposed embedded system implements Modbus RTU serial communication to receive information from a fire alarm-control panel. An extension to the Modbus communication protocol, called Modbus Extended (ModbusE), is also proposed for smart switches and emergency switchboards. The embedded smart switch described in this paper as a scientific and practical contribution in this field, based on a performant microcontroller system, is integrated into the Building Internet of Things (BIoT) concept and uses the innovative ModbusE protocol. The proposed smart lighting system integrates building lighting access control for smart switches and sockets and can be extended to incorporate functionality for smart thermostats, access control and smart sensor-based information acquisition.
Characterization of Mineralogical and Mechanical Parameters of Alkali-Activated Materials Based on Water Sediments Activated by Potassium Silicate
Authors: Afolayan Ayodele , Mildner Martin , Hotěk Petr , Keppert Martin , Černý Robert , Fořt Jan
Published: September 2024

The circular economy transition encompasses the identification of various available and sustainable materials to replace traditional binders in the construction industry. The utilization of water sediments represents this point as a beneficial action that may provide synergy in terms of waste reduction and replacement of energy-intensive materials. To explore the potential of water sediments, this study contemplated the characterization of water sediments as precursors for the design of alkali-activated materials (AAMs). The experimental approach was based on the detailed characterization of raw materials’ chemical, mineralogical, and basic material properties and the assessment of the designed AAM paste and mortar samples. The results achieved revealed the capability of low amorphous water sediments to form dense structures with favorable mechanical performance, reaching up to 36.8 MPa in compressive strength. The microstructural and water sorption characteristics point to the applicability of such materials in the building practice and, thus, the valorization of water sediments into valuable material.
Mechanisms by Which Pharmacotherapy May Impact Cancer Risk among Individuals with Overweight and Obesity
Authors: Sauter Edward R. , Agurs-Collins Tanya
Published: September 2024

Diets geared to reduce cancer risk in overweight and obese individuals focus on (1) caloric restriction (every day, some days, or most hours of each day); (2) changes in macronutrient intake; or (3) a combination of the prior two strategies. Diets generally fail because of nonadherence or due to limited sustained weight loss. This is in contrast to a diet supplemented with a weight loss medication, so long as the participant continues the medication or after bariatric surgery, in which adherence tends to be much higher. Among individuals who regain weight after surgery, weight loss medications are proving beneficial in maintaining weight loss. Both maximum and sustained weight loss are essential for all forms of effective metabolic improvement, including cancer risk reduction. The focus of this report is to assess the state of research on the consequence of pharmacotherapy use on weight loss and proposed weight loss-independent effects on subsequent cancer risk reduction, including the potential role of medication use in conjunction with metabolic (bariatric) surgery (MBS). Finally, we present Notices of Funding Opportunities (NOFOs) by the National Cancer Institute (NCI) to better understand the mechanism(s) that are driving the efficacy of pharmacotherapy in cancer risk reduction.
Exploring the Potential of Synthetic Cannabinoids: Modulation of Biological Activity of Normal and Cancerous Human Colon Epithelial Cells
Authors: Paduch Roman , Szwaczko Katarzyna , Dziuba Kamil , Wiater Adrian
Published: September 2024

Colorectal cancer (CRC) is a global problem. Oncology currently practices conventional methods of treating this carcinoma, including surgery, chemotherapy, and radiotherapy. Unfortunately, their efficacy is low; hence, the exploration of new therapies is critical. Recently, many efforts have focused on developing safe and effective anticancer compounds. Some of them include cannabinoids. In the present study, we obtained cannabinoids, such as cannabidiol (CBD), abnormal cannabigerol (abn-CBG), cannabichromene (CBC), and cannabicitran (CBT), by chemical synthesis and performed the biological evaluation of their activity on colon cancer cells. In this study, we analyzed the effects of selected cannabinoids on the lifespan and metabolic activity of normal colonic epithelial cells and cancer colon cells. This study demonstrated that cannabinoids can induce apoptosis in cancer cells by modulating mitochondrial dehydrogenase activity and cellular membrane integrity. The tested cannabinoids also influenced cell cycle progression. We also investigated the antioxidant activity of cannabinoids and established a relationship between the type of cannabinoid and nitric oxide (NO) production in normal and cancerous colon cells. To conclude, it seems that, due to their interesting properties, the cannabinoids studied may constitute an interesting target for further research aimed at their use in alternative or combined therapies for human colon cancer.
Are German Automotive Suppliers in the Commodity Trap? Risks and Potentials of the Taiwanese Platform MIH EV Open
Authors: Koelmel Bernhard , Haug Tim , Klein Leonie , Schwab Lukas , Bulander Rebecca , Hinderer Henning , Weyer Matthias , Brugger Tanja , Kuehn Ansgar , Brysch Tanja
Published: September 2024

This research paper examines the risks posed by the MIH EV Open platform to German automotive suppliers, in particular, the risk of commoditization and falling into a commodity trap. The term commodity trap describes a situation in which companies dealing with standardized products or services face intense price and margin pressure and struggle to differentiate themselves from competitors. The MIH EV Open platform, established by Foxconn, also known as Hon Hai Precision Industry Co. Ltd., headquartered in Tucheng, Taipei, Taiwan, aims to create a collaborative platform for the comprehensive development of key software, hardware components, and services in the electric vehicle (EV) industry. It unites over 2700 companies from more than 70 countries and fosters collaboration to accelerate the development and market entry of new EV products. This paper analyzes the MIH EV Open business ecosystem model and assesses the strengths and weaknesses of German suppliers in addressing these challenges. This study highlights strategic approaches, including innovation, portfolio adaptation, customer relationships, and sustainability practices, that can enable German suppliers to mitigate commodity trap risks. The findings underscore the importance of proactive, segment-specific strategies amidst the transformation of the automotive industry. Key insights are provided on the potential impact of open platform ecosystems and recommendations for German automotive suppliers to maintain competitiveness. This research fills a gap in the literature by examining the commoditization risks posed by the MIH EV Open platform for German automotive suppliers. Unlike previous studies that focus on traditional market structures, this study explores the novel dynamics introduced by platform ecosystems and provides strategic insights to mitigate these risks.
When Nature Strikes Back: Understanding Intestinal Perforations Caused by Vegetable and Animal Bodies
Authors: Suárez-Gómez Santiago Andrés , Velasco-Muñoz Valentina , Escobar-Castañeda Fernando
Published: September 2024

Foreign body intestinal perforation is a critical and potentially life-threatening condition that presents significant diagnostic challenges, especially in rural populations who are often distant from healthcare facilities and lack access to necessary resources. In these settings, the surgical approach is further complicated by prolonged diagnostic times and delayed access to appropriate care. This article presents a series of cases involving patients with foreign body intestinal perforation of both vegetable and animal origin. Among these cases, one patient died due to delayed voluntary treatment, and another presented without leukocytosis, further complicating the diagnosis. Socioeconomic barriers made follow-up challenging in most cases, negatively impacting patient outcomes. This study details patient characteristics, surgical approaches, and outcomes. Community education, improved infrastructure, and greater awareness among healthcare providers are essential to improving outcomes, particularly in rural areas where healthcare delivery is more challenging and intensified efforts are required to enhance patient care and quality of life.
Ethical Issues Regarding Dermatopathology Care for Service-Members: A Review
Authors: Kamat Samir , O’Hagan Ross , Brahe Catherine , Hardy Curtis L. , Shrivastava Vikas , Grant-Kels Jane M. , Crotty Angela M.
Published: September 2024

Dermatologic care within the military faces unique ethical challenges. Service members are stationed across nationally and globally diverse settings, and therefore, dermatologic care rendered ranges from within resource-rich, advanced military medical treatment facilities to austere, resource-limited, deployed field environments. Additionally, military service members are often at unique risk for dermatologic disease, given occupational, environmental, and geographic exposures not commonly faced by their civilian counterparts. This review explores topics in dermatoethics via case analyses of ethical considerations within the scope of dermatologic care for military service members.
A Pilot Study on the Fecal Microbiota in Mexican Women with Gestational Diabetes Mellitus and Their Newborns
Authors: Lizárraga Dennise , García-Gasca Alejandra , García-Gasca Teresa , Lund Gertrud , Guerrero Abraham , Peraza-Manjarrez Efrén , Gómez-Gil Bruno
Published: September 2024

Introduction: The gut microbiota plays important roles in physiological and immune processes. Some metabolic disorders and complications during pregnancy, such as gestational diabetes mellitus (GDM), have been associated with alterations in the gut microbiota. The aim of this study was to characterize alterations in fecal microbiota (as a non-invasive proxy of the gut microbiota) by 16S rRNA (V3-V4) taxonomic fingerprinting in Mexican women with GDM and their newborns. Methods: A total of 17 pregnant women (GDM = 8 and control = 9) were recruited between April 2021 and August 2022, and fecal samples were collected in the third trimester of gestation and during cesarean section. A total of 16 newborns (GDM = 8 and control = 8) participated in the study; meconium samples were taken immediately after birth. Results: The maternal microbiota (both at the third trimester and cesarean section) exhibited higher alpha diversity and a different bacterial community structure compared to that of their newborns. The maternal fecal microbiota of the third trimester from the GDM group showed a significant increase in the abundance of Firmicutes, Lachnospiraceae, Ruminococcaceae, Blautia, Rosebura, and Faecalibacterium, and a significant decrease in Peptostreptococcaceae, Anaerococcus, and Finegoldia, compared to the control group; these taxa correlated with blood glucose levels (except for Ruminococcaceae) but not with body mass index (BMI). No significant differences were observed between GDM and control groups in the relative abundance of maternal fecal microbiota collected in the cesarean section. The meconium microbiota of newborns from mothers with GDM showed a significant increase in Faecalibacterium compared with newborns from normoglycemic mothers and correlated with the mothers’ BMI and fasting glucose levels. Conclusions: The results indicate that GDM is associated with alterations in the fecal microbiota of women with GDM in the third trimester, in particular, with taxa known to be associated with metabolic disorders and other types of diabetes, and modifications in the meconium microbiota of their newborns.
Interobserver Agreement in Ultrasound Risk Stratification Systems for Thyroid Nodules on Static Images Versus Cine-Loop Video Sequences
Authors: Schenke Simone Agnes , Petersen Manuela , Görges Rainer , Ruhlmann Verena , Zimny Michael , Richter Johannes-Paul , Groener Daniel , Baumgarten Justus , Kreissl Michael C. , Stahl Alexander R. , Grunert Michael , Klemenz Burkhard , Veit Franziska , Zettinig Georg , Seifert Philipp
Published: September 2024

Purpose: To evaluate the impact of video sequences (cine-loops) on the interobserver agreement (IOA) using risk stratification systems (RSSs) for thyroid nodules (TNs). Methods: Twenty TNs were randomly selected from a large database and evaluated by twelve experienced observers using five different RSSs (Kwak-, ACR-, EU-, Korean-TIRADS, ATA Guidelines). In the first step, the evaluation was conducted based on static ultrasound (US) images in two planes (“static”). Six months later, these cases were reevaluated by the same observers using video sequences in two planes (“cine-loops”). Fleiss’ kappa (κ) was calculated for the IOA analyses. Results: IOA on static was moderate with κ values of 0.46, 0.42, 0.40, 0.45, and 0.38 for the Kwak-, ACR-, EU-, Korean-TIRADS, and ATA Guidelines, respectively, while the IOA on cine-loops was fair with κ values of 0.41, 0.38, 0.37, 0.36, and 0.34 for the Kwak-, ACR-, EU-, Korean-TIRADS, and ATA Guidelines, respectively. The overall IOA was superior in static images versus cine-loops (p = 0.024). Among other findings, the subgroup analyses (related to age, gender, US certificates, number of thyroid US per week, and RSSs experience) particularly showed that the experience of the observers in using RSSs had a significant influence on the IOA. Conclusions: The overall IOA (all twelve observers and all five RSSs) was superior on static US images in comparison to cine-loops. Furthermore, the overall IOA of the five US features revealed superior κ values of the static images over cine-loops. However, this impact was significantly lower when the observers were highly experienced in the use of US RSSs of TNs.
Kugel’s Artery in Coronary Computed Tomography Angiography in a Patient with Left Main Subtotal Stenosis
Authors: Gać Paweł , Głuszczyk Agnieszka , Plizga Jakub , Bińczyk Wiktoria , Dróżdż Olgierd , Poręba Rafał
Published: September 2024

The artery of Kugel is defined as a rare anatomical variant of the coronary arteries. It consists of an anastomotic connection between the branches of the right coronary artery (RCA) and the left circumflex artery (LCx). In patients with coronary artery occlusion, the presence of this connection bypassing the area of the occluded vessel may be a factor that prevents significant necrosis of a specific area of the myocardium. Most cases are detected by invasive coronary angiography. We present images from coronary computed tomography angiography (CCTA), which documented the existence of Kugel’s artery in a 67-year-old patient with subtotal stenosis of the left main artery. The presented images clearly indicate that CCTA can visualize the existing rescue collateral circulation in patients with significant coronary artery disease.
Wind Instruments and Oral Health: Challenges Faced by Professional Wind Musicians
Authors: Czech Nils P. , Alt Kurt W.
Published: September 2024

Background: Recent studies have shown an association between playing wind instruments and their impact on the orofacial system. However, they have not fully evaluated all aspects of the topic, leaving a gap in the overall understanding. Methods: A thorough search of the National Library of Medicine database was conducted using our research strategy, resulting in the identification of relevant studies. An expert perspective was obtained by conducting two in-depth expert interviews with a professor of horn-playing and a specialised dentist. Results: Thirty-seven relevant publications were included in the traditional literature review. The most common diseases among professional wind instrumentalists include the lip area, temporomandibular joint, oral mucosa, respiratory system, oral allergic reactions, and orofacial trauma. Special measures, preventive measures, and expert opinions were utilised to address and overcome the associated orofacial problems. Conclusions: Wind instruments affect the oral health and tooth movement of professional instrumentalists, and dentists should consider the impact of dental changes on embouchure and performance. Dental impressions and three-dimensional intra-oral scans are important for reconstruction. This research highlights the need for specialised dental care for professional wind instrumentalists, and further studies are necessary to fully explore this topic.
Vegetation Type Preferences in Red Deer (Cervus elaphus) Determined by Object Detection Models
Authors: Fugl Annika , Jensen Lasse Lange , Korsgaard Andreas Hein , Pertoldi Cino , Pagh Sussie
Published: September 2024

This study investigates the possibility of utilising a drone equipped with a thermal camera to monitor the spatial distribution of red deer (Cervus elaphus) and to determine their behavioural patterns, as well as preferences for vegetation types in a moor in Denmark. The spatial distribution of red deer was mapped according to time of day and vegetation types. Reed deer were separated manually from fallow deer (Dama dama) due to varying footage quality. Automated object detection from thermal camera footage was used to identification of two behaviours, “Eating” and “Lying”, enabling insights into the behavioural patterns of red deer in different vegetation types. The results showed a migration of red deer from the moors to agricultural fields during the night. The higher proportion of time spent eating in agricultural grass fields compared to two natural vegetation types, “Grey dune” and “Decalcified fixed dune”, indicates that fields are important foraging habitats for red deer. The red deer populations were observed significantly later on grass fields compared to the natural vegetation types. This may be due to human disturbance or lack of randomisation of the flight time with the drone. Further studies are suggested across different seasons as well as the time of day for a better understanding of the annual and diurnal foraging patterns of red deer.
AMFEF-DETR: An End-to-End Adaptive Multi-Scale Feature Extraction and Fusion Object Detection Network Based on UAV Aerial Images
Authors: Wang Sen , Jiang Huiping , Yang Jixiang , Ma Xuan , Chen Jiamin
Published: September 2024

To address the challenge of low detection accuracy and slow detection speed in unmanned aerial vehicle (UAV) aerial images target detection tasks, caused by factors such as complex ground environments, varying UAV flight altitudes and angles, and changes in lighting conditions, this study proposes an end-to-end adaptive multi-scale feature extraction and fusion detection network, named AMFEF-DETR. Specifically, to extract target features from complex backgrounds more accurately, we propose an adaptive backbone network, FADC-ResNet, which dynamically adjusts dilation rates and performs adaptive frequency awareness. This enables the convolutional kernels to effectively adapt to varying scales of ground targets, capturing more details while expanding the receptive field. We also propose a HiLo attention-based intra-scale feature interaction (HLIFI) module to handle high-level features from the backbone. This module uses dual-pathway encoding of high and low frequencies to enhance the focus on the details of dense small targets while reducing noise interference. Additionally, the bidirectional adaptive feature pyramid network (BAFPN) is proposed for cross-scale feature fusion, integrating semantic information and enhancing adaptability. The Inner-Shape-IoU loss function, designed to focus on bounding box shapes and incorporate auxiliary boxes, is introduced to accelerate convergence and improve regression accuracy. When evaluated on the VisDrone dataset, the AMFEF-DETR demonstrated improvements of 4.02% and 16.71% in mAP50 and FPS, respectively, compared to the RT-DETR. Additionally, the AMFEF-DETR model exhibited strong robustness, achieving mAP50 values 2.68% and 3.75% higher than the RT-DETR and YOLOv10, respectively, on the HIT-UAV dataset.
Special Education Status and Underidentification of Twice-Exceptional Students: Insights from ECLS-K Data
Authors: Jolly Jennifer L. , Barnard-Brak Lucy
Published: September 2024

The current study examined the underidentification of students with disabilities for gifted education programs, otherwise referred to as twice-exceptional students. This study utilized data from the Early Childhood Longitudinal Study Kindergarten Class of 2010–2011 (ECLS-K). We estimated that approximately 17% to 18% more students with disabilities should have been identified for a gifted education program as having statistically similar achievement scores to those students without disabilities in gifted education programs. Alternatively stated, students with disabilities should make up 10.8% of gifted programs, or about 1 in 9 students in gifted programs should be twice-exceptional. Students with disabilities who were male, non-White, low-income, and indicating more internalizing problem behaviors were more likely to not be identified for a gifted education program despite having similar achievement scores.
A Two-Stage Fault Localization Method for Active Distribution Networks Based on COA-SVM Model and Cosine Similarity
Authors: Zhao Ruifeng , Lu Jiangang , Yu Zhiwen , Wu Yuezhou , Wang Kailin
Published: September 2024

To address the issues of low efficiency and poor noise immunity in traditional active distribution network (ADN) fault location methods based on swarm intelligent optimization algorithms, this paper proposes a two-stage fault location method utilizing the COA-SVM model and cosine similarity. First, this paper constructs the fault signature database for the target distribution network by randomly simulating single- and multi-point faults using the fault current state equation. Next, this paper introduces the COA-SVM classification model, establishing the high-dimensional mapping relationship between the fault current direction matrix and the fault zones through model training. The well-trained COA-SVM classification model is used to identify the fault zones, which include the fault line segments. Finally, for each identified fault zone, this paper calculates the cosine similarity of the fault current direction information of adjacent line segments, accurately pinpointing the fault line segments by identifying mutation points of the cosine similarity. Using the modified IEEE 33 node test distribution network as an example, simulation results demonstrate that the proposed two-stage fault location method offers higher accuracy and resistance to signal interference compared to fault location methods based on swarm intelligence optimization algorithms. The COA-SVM classification model surpasses conventional models, achieving high accuracy and excellent noise resilience. It accurately identifies fault segments within the test distribution network with a remarkable 100% precision. Moreover, the accuracy of fault localization remains above 83% when the FTU encounters fewer than three abnormal signals.