bluuebunny/crossref_metadata_2025 huggingface dataset:
Nociception related biomolecules in the adult human saliva: A scoping review with additional quantitative focus on cortisol
Authors: Zarnegar Roxaneh , Vounta Angeliki , Li Qiuyuan , Ghoreishizadeh Sara S
Published: February 2024

Nociception related salivary biomolecules can be useful patients who are not able to self-report pain. We present the existing evidence on this topic using the PRISMA-ScR guidelines and a more focused analysis of cortisol change after cold pain induction using the direction of effect analysis combined with risk of bias analysis using ROBINS-I. Five data bases were searched systematically for articles on adults with acute pain secondary to disease, injury, or experimentally induced pain. Forty three articles met the inclusion criteria for the general review and 11 of these were included in the cortisol-cold pain analysis. Salivary melatonin, kallikreins, pro-inflammatory cytokines, soluable TNF-α receptor II, secretory IgA, testosterone, salivary α-amylase (sAA) and, most commonly, cortisol have been studied in relation to acute pain. There is greatest information about cortisol and sAA which both rise after cold pain when compared with other modalities. Where participants have been subjected to both pain and stress, stress is consistently a more reliable predictor of salivary biomarker change than pain. There remain considerable challenges in identifying biomarkers that can be used in clinical practice to guide the measurement of nociception and treatment of pain. Standardization of methodology and researchers’ greater awareness of the factors that affect salivary biomolecule concentrations are needed to improve our understanding of this field towards creating a clinically relevant body of evidence.
Incriminated writers and their wives: Gendered memory of a national campaign in Mao’s China
Authors: Wei S Louisa
Published: February 2024

The primary source of this study is 76 video interviews concerning a political campaign by the Chinese Communist Party: the Anti-Hu Feng Counter-revolutionary Clique Movement (1955–1956). This campaign and the long incrimination of its central figures—Hu Feng (1902–1985), his wife Mei Zhi (1914–2004), and other associates—have had an impact on Chinese intellectuals for nearly seven decades and generated hundreds of (auto)biographies, memoirs, critical writings, and scholarly studies since the 1980s. Victimized writers managed to publish again, but the stories of their wives remained obscured and marginalized for years. This article presents three research findings: first, the wives provide different but equally essential testimonies as do the writers; second, methods used by feminist historians can benefit oral history collection from all, but from women and the marginalized in particular; and third, gendered memory helps to bridge the gap between those who have and have not personally experienced specific historical events.
Differences in Lumbopelvic Alignment in Adolescent Male Soccer Players With Bilateral and Unilateral Lumbar Bone Stress Injuries: An MRI Evaluation
Authors: Tsutsui Toshiharu , Kamikubo Toshinao , Sakamaki Wataru , Takei Seira , Maemichi Toshihiro , Torii Suguru
Published: February 2024

Background:

Differences in the physical characteristics of bilateral and unilateral lumbar bone stress injuries (BSIs) are unknown.

Purpose:

To compare bilateral and unilateral lumbar BSIs in adolescent male soccer players, with a focus on lumbopelvic alignment.

Study Design:

Cross-sectional study; Level of evidence, 3.

Methods:

A total of 78 players (age range, 12-15 years) from a local soccer club who had magnetic resonance imaging (MRI) evaluations were included in the study. Lumbopelvic alignment and lumbar BSI were evaluated using short-tau inversion recovery and 3-dimensional LAVA on 3-T MRI; lumbar BSI was defined as the presence of bone marrow edema and/or the complete and incomplete fracture in the pars region on the MRI. Pelvic tilt (PT) and pelvic outflare angles were assessed on the kicking and pivoting sides, and asymmetry for each parameter was calculated by subtracting the kicking side from the pivoting side. In addition, the lumbar lordosis (LL), sacral slope (SS), and SS relative to LL (calculated by subtracting LL from the SS) were assessed. One-way analysis of variance was performed to compare lumbopelvic alignment in players with bilateral BSI, unilateral BSI, or no abnormal findings (controls).

Results:

No significant differences were found regarding lumbopelvic alignment between the players with bilateral versus unilateral lumbar BSI. PT asymmetry was significantly greater in both players with bilateral lumbar BSI and unilateral lumbar BSI compared with controls ( P = .018 and P = .016, respectively). In addition, SS relative to LL was significantly greater in players with bilateral lumbar BSI compared with controls ( P < .001).

Conclusion:

Although there were no significant lumbopelvic alignment differences between bilateral and unilateral BSI, players with bilateral BSI exhibited increased sacral anterior tilt relative to the LL, and the pelvis was more posterior on the pivoting side than on the kicking side in both players with bilateral BSI and unilateral BSI. Our results suggest that lumbopelvic alignment assessment may contribute to the management strategy for players with lumbar BSI and to the identification of players at high risk of lumbar BSI.
Leveraging Generative AI to Elevate Curriculum Design and Pedagogy in Public Health and Health Promotion
Authors: Conrad Eric J. , Hall Kelly C.
Published: February 2024

Despite increased recognition of the importance and need for pedagogical training for public health and health promotion instructors in best-practices and inclusivity, formal training is often overlooked. This disregard for pedagogical training necessitates exploration of alternative and innovative approaches to enhance teaching and learning such as generative AI. This paper describes applied uses of generative AI, specifically ChatGPT, to enhance pedagogy in public health and health promotion education in the areas of curriculum design, instructional strategies, assessment and feedback, and diversity, equity, and inclusion. Generative AI as a supplemental tool shows immense promise for improving teaching and learning, however, inherent limitations and ethical considerations require caution and continued scrutiny.
Innovative Extracurricular Student Engagement: The Community Problem Solving Challenge
Authors: Willis Chris H. , Merriman Connie , Nair Anil , Fournet Ashley C.
Published: February 2024

The Community Problem Solving Challenge Program is an innovative extracurricular learning program that engages university students with high school students from inner city, economically distressed neighborhoods to develop entrepreneurial solutions for complex socio-economic problems identified by community leaders. Examples of problems addressed by students in the past include drug use among students and members of the community, the transition of incarcerated population to civil society, food deserts, and mobility. This program overcomes the limitations of the outsider-driven top-down model of community development. In this instance, community “insiders”—the high school students—collaborate with “outsiders”—the university students—to develop entrepreneurial solutions to live problems in their communities. The program illustrates how activities designed using entrepreneurship pedagogy theories can provide engaging, enriching, and effective outcomes. The program benefits all stakeholders participating in it. For example, high school students develop an entrepreneurial mindset, learn entrepreneurship principles by application of frameworks to real-world problems, achieve self-efficacy as they discover that they have agency to transform their communities, and by bringing together community leaders, faculty, college, and high school students the program fosters networks, that according to student feedback, increases the likelihood of the high school participants pursuing a college degree. This paper elaborates on the impact for all stakeholders.
How Community-based Tourism Improves Community Welfare? A Practical Case Study of ‘Governing the Commons’ in Rural Nglanggeran, Indonesia
Authors: Suyatna Hempri , Indroyono Puthut , Yuda Tauchid Komara , Firdaus Rindu Sanubari Mashita
Published: February 2024

Anchored in Ostrom’s (1990) account of Governing the Commons, this article discusses community-based mechanisms and their potential implication for poverty alleviation and well-being improvement of societies. The material for this article draws on our research report on the application of community-based tourism (CBT) as social innovation for poverty alleviation and social well-being improvement in the Nglanggeran village from 2009 to 2016, which continues to be monitored to date. Our findings indicate that community-led initiatives have been successful in alleviating chronic poverty and social problems by integrating local institutions and developing resource-based businesses. However, recent government intervention has limited the initiatives, highlighting a power imbalance between government agencies and the community. Consequently, CBT has become an industry reserved for a select few villagers who have formed partnerships with the government. It reveals the recurring problems of government–community partnership, which, over the last two decades, has expanded in many Southern countries and has resulted in contestations of political interest within the empowerment programme, all of which produced institutional constraints to ‘commons approach’ application to governance. This article contributes to understanding the dynamics of empowerment initiatives by highlighting the intersection of collectivity and welfare capitalism as an analytical framework, enabling the application of ‘the commons theory’ within community/social development studies.
From Digital Human Modeling to Human Digital Twin: Framework and Perspectives in Human Factors
Authors: He Qiqi , Li Li , Li Dai , Peng Tao , Zhang Xiangying , Cai Yincheng , Zhang Xujun , Tang Renzhong
Published: February 2024

The human digital twin (HDT) emerges as a promising human-centric technology in Industry 5.0, but challenges remain in human modeling and simulation. Digital human modeling (DHM) provides solutions for modeling and simulating human physical and cognitive aspects to support ergonomic analysis. However, it has limitations in real-time data usage, personalized services, and timely interaction. The emerging HDT concept offers new possibilities by integrating multi-source data and artificial intelligence for continuous monitoring and assessment. Hence, this paper reviews the evolution from DHM to HDT and proposes a unified HDT framework from a human factors perspective. The framework comprises the physical twin, the virtual twin, and the linkage between these two. The virtual twin integrates human modeling and AI engines to enable model-data-hybrid-enabled simulation. HDT can potentially upgrade traditional ergonomic methods to intelligent services through real-time analysis, timely feedback, and bidirectional interactions. Finally, the future perspectives of HDT for industrial applications as well as technical and social challenges are discussed. In general, this study outlines a human factors perspective on HDT for the first time, which is useful for cross-disciplinary research and human factors innovation to enhance the development of HDT in industry.
HepG2 exosomes coated luteolin nanoparticles remodeling hepatic stellate cells and combination with sorafenib for the treatment of hepatocellular carcinoma
Authors: Ye Shengjie , Pan Xier , Zou Linghui , Ni Shuting , Zhang Lei , Hong Yanlong , Hu Kaili
Published: February 2024

Background

Hepatocellular carcinoma (HCC) is a common malignant tumor with high mortality and recurrence rate. The efficacy of the first-line drug sorafenib is impeded by drug resistance, which is closely related to activated hepatic stellate cells (HSCs). The natural product luteolin is good at alleviating the activation of HSC. However, its clinical application is limited to poor solubility, bioavailability and lacking of HSCs targeting effects. This study aims to construct luteolin-loaded biomimetic nanoparticles based on HepG2 exosomes for targeting HSCs and enhancing the therapeutic effects of sorafenib on HCC.

Methods

The HepG2 exosomes extracted were identified by size distribution, Zeta potential and characteristic proteins. Luteolin-loaded polylactic acid-glycolic acid (PLGA) nanoparticles (Lut-NPs) were prepared and wrapped by HepG2 exosomes to form biomimetic nanoparticles (Exo-Lut-NPs). A HepG2 cell sorafenib-resistant model induced by LX2 cell conditioned medium (CM) was established to evaluate the effects of Exo-Lut-NPs on reversing sorafenib-resistant in vitro. And the combined therapeutic effects of Exo-Lut-NPs with sorafenib were evaluated on a HepG2/LX2 subcutaneous xenograft tumor model in vivo.

Results

The particle size, drug loading capacity and encapsulation efficiency of Exo-Lut-NPs were 165 ± 10 nm, 2.6 ± 0.2% and 56.9 ± 4.3%, respectively. The in vitro HepG2 sorafenib-resistant model was induced by the CM of LX2 cells, and the results showed that Exo-Lut-NPs partially reversed the sorafenib resistance of HepG2 cells by affecting the CM of LX2 cells. The combined therapy of Exo-Lut-NPs with sorafenib markedly suppressed tumor growth in a HepG2/LX2 subcutaneous xenograft tumor model.

Conclusions

This study suggests that the Exo-Lut-NP is a novel and promising biomimetic delivery system which can combine with sorafenib for HCC therapy.
Refractive error and vision related quality of life
Authors: Rajabpour Mojtaba , Kangari Haleh , Pesudovs Konrad , Khorrami-nejad Masoud , Rahmani Saeed , Mohaghegh Sahar , Moradnejad Shima
Published: February 2024

Background

To investigate and compare the vision-related quality of life (QOL) in different types of refractive error (RE).

Methods

This cross-sectional study was performed on 200 subjects, categorized into four groups of 50 each, consisting of subjects with myopia, hyperopia, astigmatism, and emmetropia, the latter being the control group. The mean age of the participants was 23.88 ± 5.87 (range, 15 to 38: 110 females and 90 males). RE was defined as myopia, spherical equivalent (SE) < -0.25 diopters (D), hyperopia, SE > + 0.25 D, astigmatism, cylinder < -0.25 D, and emmetropia (-0.25 ≤ SE(D) ≤ + 0.25, cylinder ≥ -0.25). Groups are subdivided into very low magnitudes of RE (0.50 and 0.75) and significant RE (1.00 ≤). Vision-related QOL was assessed using the Persian version of the 25-item National Eye Institute Visual Functioning Questionnaire (NEI-VFQ-25). The NEI-VFQ was scored as visual function and socioemotional scales using Rasch analysis.

Results

Corrected myopia, astigmatism, uncorrected myopia, and hyperopia had a lower vision-related QOL than emmetropes. (P < 0.001). Vision-related QOL in myopic subjects was lower than that in astigmatic participants. Very low myopes, who often do not use correction, had a significantly lower QOL than other groups.

Conclusion

Individuals with refractive errors experience a lower QOL score than those without. Notably, the adverse impact on QOL score is significantly greater in myopic cases, particularly very low myopia, compared to other refractive errors. Therefore, it is strongly recommended not to neglect managing very low myopia since it may improve participants’ QOL.
Pediatrician and parental evaluation of child neurodevelopment at 2 years of age
Authors: Segre Giulia , Clavenna Antonio , Roberti Elisa , Scarpellini Francesca , Cartabia Massimo , Pandolfini Chiara , Tessarollo Valeria , Costantino Ilaria , Bonati Maurizio
Published: February 2024

Background

The early identification of infants with a risk for neurodevelopmental disorders in the first few years of life is essential for better developmental outcomes. Screenings should be carried out by combining the family pediatricians’ and parents’ perspectives, the two fundamental sources of information on children’s health. The present study has three aims: (a) to test the feasibility of parent-report instruments to detect warning signs in their children’s development; (b) to ascertain whether there is an agreement between the family pediatricians’ (FP) clinical judgments of warning signs and the parental perceptions; (c) to determine whether there is a link between parents’ distress and child development.

Methods

Within the NASCITA birth cohort, in addition to the family pediatrician’s clinical evaluation with routine tools, the Modified Checklist for Autism in Toddlers, Revised (M-CHAT-R) was completed by parents to assess the child’s language, social skills, behavior, and sensory areas. Parents were also asked to complete the Parenting Stress Index, Short Form (PSI-SF) to verify the magnitude of stress in the parent-child system. Univariate and multivariate analyses were performed to evaluate the association between child and parental characteristics and the presence of warning signs.

Results

The follow-up assessment was completed for 435 infants: 69 (15.8%) presented warning signs: 43 in the pediatrician’s assessment and 36 in the M-CHAT-R (10 in both). A total of 16 children (14 with warning signs) received a diagnosis after a specialist evaluation. Being male (OR 2.46, 95%CI: 1.23–4.91) and having sleep disorders (OR 2.43, 95% CI 1.17–5.04) was associated with a greater likelihood of warning signs in the multivariate analysis, while reading aloud was a protective factor (not exposed versus exposed (OR = 3.14; 95% CI 1.60–6.17). For 73 children (18.4%), at least one parent tested positive for PSI-SF. An increased prevalence of parental distress was observed in children with warning signs (OR 2.36, 95% CI 1.27–4.37).

Conclusions

Integrating physician and parental perspectives during well-child visits and in clinical practice appears feasible and can improve the identification of children at risk of developmental disorders.
The neuroprotective potential of curcumin on T. Spiralis infected mice
Authors: Abdeltawab Magda SA , Abdel-Shafi Iman R. , Aboulhoda Basma Emad , Mahfoz Amal M. , Hamed Alshaimaa MR
Published: February 2024

Background

Trichinella spiralis can affect the brain by inducing inflammatory and vascular changes. Drug management with the antiparasitic drug albendazole can be enhanced by natural compounds such as curcumin. The potential benefit of curcumin as an adjuvant to albendazole in the management of cerebral affection during experimental T. spiralis infection was evaluated. Animals received either curcumin 150 mg/Kg, albendazole 50 mg/Kg or a combination of both drugs. Animal groups receiving treatment were compared with infected and non-infected control groups. Blood levels of reduced glutathione (GSH) and dopamine were measured, and brain tissue expression of cyclooxygenase-2 enzyme (COX-2) and CD34 was assessed by immunohistochemistry.

Results

T. spiralis infection resulted in a state of oxidative stress, which was improved by albendazole and curcumin. Also, both drugs restored the peripheral dopamine level, which was decreased in infected non-treated mice. Curcumin was also found to be efficient in improving brain pathology and reducing local COX-2 and CD 34 expression.

Conclusions

Inflammatory and pathological changes during neurotrichinosis can be improved by the addition of curcumin to conventional anti-parasitic drugs.
Computational design of anti-cancer peptides tailored to target specific tumor markers
Authors: Naeem Aisha , Noureen Nighat , Al-Naemi Shaikha Khalid , Al-Emadi Jawaher Ahmed , Khan Muhammad Jawad
Published: February 2024

Anti-cancer peptides (ACPs) are short peptides known for their ability to inhibit tumor cell proliferation, migration, and the formation of tumor blood vessels. In this study, we designed ACPs to target receptors often overexpressed in cancer using a systematic in silico approach. Three target receptors (CXCR1, DcR3, and OPG) were selected for their significant roles in cancer pathogenesis and tumor cell proliferation. Our peptide design strategy involved identifying interacting residues (IR) of these receptors, with their natural ligands serving as a reference for designing peptides specific to each receptor. The natural ligands of these receptors, including IL8 for CXCR1, TL1A for DcR3, and RANKL for OPG, were identified from the literature. Using the identified interacting residues (IR), we generated a peptide library through simple permutation and predicted the structure of each peptide. All peptides were analyzed using the web-based prediction server for Anticancer peptides, AntiCP. Docking simulations were then conducted to analyze the binding efficiencies of peptides with their respective target receptors, using VEGA ZZ and Chimera for interaction analysis. Our analysis identified HPKFIKELR as the interacting residues (IR) of CXCR-IL8. For DcR3, we utilized three domains from TL1A (TDSYPEP, TKEDKTF, LGLAFTK) as templates, along with two regions (SIKIPSS and PDQDATYP) from RANKL, to generate a library of peptide analogs. Subsequently, peptides for each receptor were shortlisted based on their predicted anticancer properties as determined by AntiCP and were subjected to docking analysis. After docking, peptides that exhibited the least binding energy were further analyzed for their detailed interaction with their respective receptors. Among these, peptides C9 (HPKFELY) and C7 (HPKFEWL) for CXCR1, peptides D6 (ADSYPQP) and D18 (AFSYPFP) for DcR3, and peptides P19 (PDTYPQDP) and p16 (PDQDATYP) for OPG, demonstrated the highest affinity and stronger interactions compared to the other peptides. Although in silico predictions indicated a favorable binding affinity of the designed peptides with target receptors, further experimental validation is essential to confirm their binding affinity, stability and pharmacokinetic characteristics.
RETRACTED ARTICLE: Efficient identity security authentication method based on improved R-LWE algorithm in IoT environment
Authors: Yang Lin
Published: February 2024

In recent years, various smart devices based on IoT technology, such as smart homes, healthcare, detection, and logistics systems, have emerged. However, as the number of IoT-connected devices increases, securing the IoT is becoming increasingly challenging. To tackle the increasing security challenges caused by the proliferation of IoT devices, this research proposes an innovative method for IoT identity authentication. The method is based on an improved ring-learning with errors (R-LWE) algorithm, which encrypts and decrypts communication between devices and servers effectively using polynomial modular multiplication and modular addition operations. The main innovation of this study is the improvement of the traditional R-LWE algorithm, enhancing its efficiency and security. Experimental results demonstrated that, when compared to number theory-based algorithms and elliptic curve cryptography algorithms at a 256-bit security level, the enhanced algorithm achieves significant advantages. The improved algorithm encrypted 20 data points with an average runtime of only 3.6 ms, compared to 7.3 ms and 7.7 ms for the other algorithms. Similarly, decrypting the same amount of data had an average runtime of 2.9 ms, as opposed to 7.3 ms and 8 ms for the other algorithms. Additionally, the improved R-LWE algorithm had significant advantages in terms of communication and storage costs. Compared to the number theory-based algorithm, the R-LWE algorithm reduced communication and storage costs by 3 °C each, and compared to elliptic curve cryptography, it reduced them by 4 °C each. This achievement not only enhances the efficiency of encryption and decryption but also lowers the overall operational costs of the algorithm. The research has made significant strides in improving the security and efficiency of IoT device identity authentication by enhancing the R-LWE algorithm. This study provides theoretical and practical foundations for the development and application of related technologies, as well as new solutions for IoT security.
Predictors of treatment outcome for individuals with alcohol use disorder with a goal of controlled drinking
Authors: Ingesson-Hammarberg Stina , Jayaram-Lindström Nitya , Hammarberg Anders
Published: February 2024

Background

Research is lacking on predictors of outcome for the treatment of alcohol use disorder (AUD) with a goal of controlled drinking (CD). The aim of the study was to investigate one-year outcomes of an RCT, investigating Behavioral Self-Control Training (BSCT) and Motivational Enhancement Therapy (MET) and predictors of positive outcome for weekly alcohol consumption, CD and symptom reduction in AUD.

Methods

This study is based on secondary analyses from a randomized controlled trial including 250 individuals with AUD (52% men) recruited from three specialized addiction clinics in Stockholm, Sweden. Linear and logistic mixed regression models were used for outcomes at 52 weeks, and linear and logistic regression models for the predictor analyses.

Results

BSCT was superior to MET for the change between baseline to 52 weeks for the outcome of CD, defined as low-risk drinking below ten standard drinks per week for both genders (p = 0.048). A total of 57% of individuals in BSCT attained a level of CD, as opposed to 43% in MET. Females were significantly better in attaining low-risk drinking levels compared to men. The predictor for obtaining CD and reducing weekly alcohol consumption, was a lower baseline alcohol consumption. Predictors of symptom reduction in AUD were lower baseline level of AUD, and a lower self-rated impaired control over alcohol consumption.

Conclusions

BSCT was superior to MET in obtaining CD levels, and women were superior to men for the same outcome. The study corroborated baseline consumption levels as an important predictor of outcome in CD treatments. The study contributes with important knowledge on key treatment targets, and knowledge to support and advice patients in planning for treatment with a goal of controlled drinking.

Trial registration: The original study was registered retrospectively at isrtcn.com (14539251).
Resistance Behaviours of Clamped HFR-LWC Beam Using Membrane Approach
Authors: Chen Wanxiang , Cai Jiawen , Huang Junxuan , Yang Xiaoyu , Ma Jianjun
Published: February 2024

Beam-like members sustaining the combined action of transverse load and membrane force exhibit a special load response to progressive deflection. A theoretical model is therefore developed to depict the resistance behaviours of clamped reinforced concrete (RC) beams observed in tests. The support-induced membrane effects are simulated by a longitudinal spring and a rotational spring. The load responses to progressive deflection are obtained using the membrane approach, and the prediction accuracies of proposed method are validated by a series of four-point bending tests on hybrid fibre reinforced-lightweight aggregate concrete (HFR-LWC) beam. It is illustrated that the bearing capacities of clamped HFR-LWC beam are significantly enhanced by the membrane effect. Ultimate load of the clamped beam ranges from 64.0 to 184.0 kN, and the larger bearing capacity compared with simply supported beam is obtained. An ultimate load of 1.85 to 5.31 times the yield line value is achieved, and thereby, the ultimate resistance of the clamped beam might be seriously underestimated using yield line approach. A strong support constraint is beneficial for increasing the load-carrying capacity of clamped HFR-LWC beam, although the large longitudinal restraint stiffness would inevitably gives rise to brittle failure. The relative errors between predicted load and measured value are less than 7.23%, indicating that the presented model is a promising tool to estimate the ultimate load of clamped beam-like member.
Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques
Authors: Qu Fangming , Dang Nolan , Furht Borko , Nojoumian Mehrdad
Published: February 2024

The flourishing realm of advanced driver-assistance systems (ADAS) as well as autonomous vehicles (AVs) presents exceptional opportunities to enhance safe driving. An essential aspect of this transformation involves monitoring driver behavior through observable physiological indicators, including the driver’s facial expressions, hand placement on the wheels, and the driver’s body postures. An artificial intelligence (AI) system under consideration alerts drivers about potentially unsafe behaviors using real-time voice notifications. This paper offers an all-embracing survey of neural network-based methodologies for studying these driver bio-metrics, presenting an exhaustive examination of their advantages and drawbacks. The evaluation includes two relevant datasets, separately categorizing ten different in-cabinet behaviors, providing a systematic classification for driver behaviors detection. The ultimate aim is to inform the development of driver behavior monitoring systems. This survey is a valuable guide for those dedicated to enhancing vehicle safety and preventing accidents caused by careless driving. The paper’s structure encompasses sections on autonomous vehicles, neural networks, driver behavior analysis methods, dataset utilization, and final findings and future suggestions, ensuring accessibility for audiences with diverse levels of understanding regarding the subject matter.
Goodbye from the Editor
Authors: Casey Patricia
Published: February 2024

The outgoing Editor in Chief of BJPsych Advances considers the 30-year history of the journal, outlining its development from a slim four-paper issue to an authoritative publication offering blended learning approaches for consultant psychiatrists and also for trainees preparing for their examinations.
Intraoperative Videogrammetry and Photogrammetry for Photorealistic Neurosurgical 3-Dimensional Models Generated Using Operative Microscope: Technical Note
Authors: Krogager Markus E. , Fugleholm Kåre , Poulsgaard Lars , Springborg Jacob B. , Mathiesen Tiit I. , Cornelius Jan F. , Nakov Vladimir , Laleva Lili , Milev Milko , Spiriev Toma
Published: February 2024

BACKGROUND AND OBJECTIVES:

Intraoperative orientation during microsurgery has a prolonged learning curve among neurosurgical residents. Three-dimensional (3D) understanding of anatomy can be facilitated with realistic 3D anatomic models created from photogrammetry, where a series of 2-dimensional images is converted into a 3D model. This study implements an algorithm that can create photorealistic intraoperative 3D models to exemplify important steps of the operation, operative corridors, and surgical perspectives.

METHODS:

We implemented photograph-based and video-based scanning algorithms for uptakes using the operating room (OR) microscope, targeted for superficial structures, after surgical exposure, and deep operative corridors, in cranial microsurgery. The algorithm required between 30–45 photographs (superficial scanning), 45–65 photographs (deep scanning), or approximately 1 minute of video recording of the entire operative field to create a 3D model. A multicenter approach in 3 neurosurgical departments was applied to test reproducibility and refine the method.

RESULTS:

Twenty-five 3D models were created of some of the most common neurosurgical approaches—frontolateral, pterional, retrosigmoid, frontal, and temporal craniotomy. The 3D models present important steps of the surgical approaches and allow rotation, zooming, and panning of the model, enabling visualization from different surgical perspectives. The superficial and medium depth structures were consistently presented through the 3D models, whereas scanning of the deepest structures presented some technical challenges, which were gradually overcome with refinement of the image capturing process.

CONCLUSION:

Intraoperative photogrammetry is an accessible method to create 3D educational material to show complex anatomy and demonstrate concepts of intraoperative orientation. Detailed interactive 3D models, displaying stepwise surgical case-based anatomy, can be used to help understand details of the operative corridor. Further development includes refining or automatization of image acquisition intraoperatively and evaluation of other applications of the resulting 3D models in training and surgical planning.
Recuperación de topónimos en áreas rurales con cartografía social participativa. Caso de estudio de Herencia (Ciudad Real, España).
Authors: Serrano de la Cruz Santos-Olmo Manuel Antonio , Fernández-Caballero Martín-Buitrago Claro Manuel
Published: February 2024

El estudio aborda, desde planteamientos de ciencia ciudadana y cartografía social participativa con enfoque geográfico, la recuperación de topónimos olvidados, omitidos o mal georreferenciados en la cartografía topográfica oficial, con el objetivo de destacar su valor geográfico y social, de contribuir al enriquecimiento y conservación de la cultura territorial local, y de prestar apoyo a posibles revisiones cartográficas institucionales. Los resultados recogen aportaciones al conocimiento del patrimonio toponímico local, centrado en Herencia (Ciudad Real) como caso de estudio, con recuperaciones, relocalizaciones o inventario de variantes, que ponen de manifiesto el interés de este tipo de estudios. Se concluye destacando la importancia de la revisión y recuperación de topónimos en estudios locales, aún escasos en España, necesarias para evitar la pérdida de este patrimonio cultural inmaterial.
Impact of Economic Literacy and Environmental Literacy on Student Green Consumer Behavior
Authors: Tania Pratiwi Rani , Nuryatin Atin , Prawirasuyasa Wirasmo , Suryani Yeyen , Agustira Deden
Published: February 2024

One of the reasons for the low quality of the environment today is the activities carried out by humans as consumers. Consumers' positive attitudes towards environmental issues can be encouraged by economic literacy and ecological literacy, which reflect the relationship between the economy and ecology. A person's lack of insight into the environment causes various environmental problems to continue without the perpetrators of destruction realizing it. Solutions to various environmental issues must come from all scientific disciplines, especially the most basic ones in education. Environmentally friendly consumer behavior is individual behavior that is influenced by concern for the environment. This research aims to describe the influence of economic literacy and environmental literacy on environmentally friendly consumer behavior, financial literacy on ecologically friendly consumer behavior, and environmental literacy on social consumer behavior. Environment. Environment. This research was conducted using a quantitative approach and correlational descriptive analysis techniques. This research analyzes the influence of Economic Literacy and Environmental Literacy on Green Consumer Behavior. The research population was students of the Economic Education Study Program, Faculty of Teacher Training and Education, Kuningan University. Data analysis uses multiple regression. The research results show that economic and environmental literacy positively affect environmentally friendly consumer behavior. The findings of this research have implications for efforts to increase consumption of green consumer behavior, which is predominantly triggered by digital media and educational institutions. In addition, the research results show that although environmental literacy positively affects environmentally friendly consumer behavior, the effect is low. This can be improved with a learning approach that seeks to increase student involvement by using the environment as a learning resource. So, the author recommends that for further research, an approach can be used that involves students in utilizing the environment through learning activities that will attract students' interest in studying things related to life and beneficial to the environment.
Differentiated Instruction in Indonesian Private Kindergartens: Challenges in Implementing an Independent Curriculum
Authors: Ristiyati Ristiyati , Maryani Ika , Suyatno Suyatno
Published: February 2024

Differentiated instruction facilitates learning based on students’ unique interests, preparedness for learning, and learning profiles. Many teachers lack a comprehensive understanding of differentiated instruction, particularly in kindergarten. Teachers used to employ Student Worksheets to facilitate learning. This study aims to: (1) the implementation of differentiated instruction at an Indonesian private kindergarten, (2) the factors that facilitate the instruction’s implementation, and (3) the efforts to deal with any challenges encountered during the implementation of the instruction. This study employed a qualitative case study design to capture a phenomenon comprehensively and contextually by gathering data directly from the subject under investigation. The study was executed at Aisyiyah Kindergarten, Sukorejo, Indonesia. It is the only Indonesian kindergarten in Sukorejo that incorporates an independent curriculum called Sekolah Penggerak. Teachers implement holistic-integrative learning design to differentiate instructional activities. Learning media containing STEAM Loose parts were utilized to determine various factors that may facilitate or impede the instruction. Factors that facilitate instruction include the learning environment, media utilization, teachers’ creativity, the student-teacher relationship, the implementation of teaching techniques, students’ psychological well-being, and community support beyond the school setting. The inhibitory factors encompass a scarcity of learning resources, students’ lack of preparedness for learning, a shortage of teachers, and inadequate infrastructure. This study revealed that the school tried to address the challenges by collaborating with the community inside and outside the school, such as with student guardians, the foundation administrator, and related agencies
Scared and nervous … but I got past my first hurdle, thanks to the team
Authors: Petchey Jade
Published: February 2024

In the first of our series on the experiences of a nursing student, Jade Petchey describes the trepidation with which she approached her placement at a neonatal intensive care unit
Why the Indian Health Care Improvement Act Has Failed to Effectively Fund Workforce Development for the Indian Health Service
Authors: Sundberg Michael A. , Christensen Loretta , Kelliher Allison , Tobey Matthew L. , Toedt Michael , Owen Mary J.
Published: February 2024

Abstract: The Indian Health Service (IHS) faces severe workforce shortages due to underfunding and underdevelopment of clinical training programs. Unlike other direct federal health care systems that have implemented clinical training paradigms as central parts of their success, the IHS has no formalized process for developing such programs internally or in partnership with academic institutions. While the Indian Health Care Improvement Act (IHCIA) authorizes mechanisms by which the IHS can support overall workforce development, a critical portion of the act (U.S. Code 1616p) intended for developing clinical training programs within the agency remains unfunded. Here, we review the funding challenges of the IHCIA, as well as its authorized and funded workforce development programs that have only partially addressed workforce shortages. We propose that through additional funding to 1616p, the IHS could implement clinical training programs needed to prepare a larger workforce more capable of meeting the needs of American Indian/Alaska Native communities.
Glotofobia, apropiación cultural y privación relativa en la escena musical española contemporánea
Authors: León-Távora Ana
Published: February 2024

Resumen: Glotofobia, del francés glottophobie , es el término acuñado recientemente por el sociolingüista francés Philippe Blanchet para denunciar la discriminación lingüística que, según él, no queda lo suficientemente expresada con términos más tradicionales como "lingüicismo" o "languagismo". El neologismo busca exponer la intención de odio y exclusión de ciertas personas por su lengua o por su uso particular de una determinada lengua. En España, de todas las variedades lingüísticas, la andaluza es percibida como un habla inculta, un español mal hablado, o una forma de hablar cómica. La discriminación del habla andaluza es palpable en muchas áreas de la sociedad española; sin embargo, la escena musical contemporánea se ha visto inundada de un auténtico tsunami de intérpretes que cantan con acento andaluz, ya sean andaluces o no. Entre dichos intérpretes se encuentra la estrella internacional Rosalía, la cual ha sido acusada de apropiación cultural por cantar flamenco sin ser gitana, aunque poco o nada se ha dicho de su acento andaluz impostado. El presente trabajo analizará el contraste entre la "andalufobia", y el fenómeno de la profusión del andaluz en la música popular actual como un caso de apropiación cultural que se extiende más allá de Rosalía. Un análisis desde la lente teórica de la privación relativa o relative deprivation servirá para exponer conflictos de marginación de distintas identidades en España, así como para revelar la larga tradición de discriminación de género en las artes y, en particular, en el mundo de la industria musical.
Point de rencontres: Une étude de passages "infrahumains" dans Le Rond-Point d'Évelyne Trouillot
Authors: Herbeck Jason
Published: February 2024

Résumé: Dans Le Rond-point (2015) d'Évelyne Trouillot, se profilent à tour de rôle les parcours de trois habitants esseulés de Port-au-Prince au début des années 2000. Dans cette étude, il s'agira dans un premier temps de signaler la fonction pratique de l'aménagement routier éponyme, lequel est censé rendre la circulation plus fluide et contribuer à améliorer la sécurité routière. Or, puisque le rond-point se doit d'être pris au sens figuré dans ce roman, nous nous intéresserons dans un deuxième temps aux conséquences d'une société-voirie haïtienne où l'on ne s'arrête guère et où « les gens semblent évoluer dans des univers différents mais si proches » (43). Aussi nous pencherons-nous sur le mouvement-matrice qui s'opère au centre même de l'œuvre de Trouillot et qui ne cesse de donner lieu aux interactions essentielles et fondamentales entre ses différents personnages ; car ce qui nous préoccupera en l'occurrence, c'est que Le Rond-point semble, au contraire et de manière paradoxale, y marquer un point d'arrêt, une sorte de suspension non négligeable de l'élan chaleureux et combien rédempteur à l'égard de la condition humaine qui caractérise l'ensemble de la production écrite de l'écrivaine.
Optical experimental results using Singer product apertures
Authors: Shutler Paul M. E. , Byard Kevin
Published: February 2024

We present the first optical experimental results obtained using the recently developed Singer product apertures. We also show that Fenimore and Cannon’s fine sampling and delta decoding techniques can be combined with the fast direct vector decoding algorithm for Singer product apertures. We demonstrate resolutions and decoding speeds comparable to, or better than, those currently reported in the optical literature. Taken together these make possible coded aperture video in the optical domain.
MI-MZI based distributed optical fiber sensor for location and pattern recognition
Authors: Zhang Shu , Ma Yixiao , Lai Xin , Xiao Qian , Jia Bo , Wu Hongyan
Published: February 2024

This research addressed the drawbacks of the conventional hybrid structure and processing technique by presenting a novel distributed fiber optic sensor based on a hybrid Michelson and Mach-Zehnder interferometer. The sensor can achieve blind spot free positioning and has a wide response frequency, additionally its structure is not complex. It can obtain two phase signals from each of the two interferometers by using a demodulation method that uses a 3 × 3 optical coupler. To determine the position of the disturbance, we computed cross-correlations on the two signals following basic mathematical techniques. Markov Transition Field was used to transform the phase signals—which had been filtered by a band pass filter—into two-dimensional images. Tagged photos built a dataset, which is then fed into a neural network to identify patterns. Experiments have shown that the frequency response capacity of the structure was verified, and it was able to achieve location within 0-30 km with location errors of ±85 m. In a six-category pattern recognition, the testing set accuracy was 98.74%.
Scalable machine learning-assisted clear-box characterization for optimally controlled photonic circuits
Authors: Fyrillas Andreas , Faure Olivier , Maring Nicolas , Senellart Jean , Belabas Nadia
Published: February 2024

Photonic integrated circuits offer a compact and stable platform for
generating, manipulating, and detecting light. They are instrumental
for classical and quantum applications. Imperfections stemming from
fabrication constraints, tolerances, and operation wavelength impose
limitations on the accuracy and thus utility of current photonic
integrated devices. Mitigating these imperfections typically
necessitates a model of the underlying physical structure and the
estimation of parameters that are challenging to access. Direct
solutions are currently lacking for mesh configurations extending
beyond trivial cases. We introduce a scalable and innovative method to
characterize photonic chips through an iterative machine
learning-assisted procedure. Our method is based on a clear-box
approach that harnesses a fully modeled virtual replica of the
photonic chip to characterize. The process is sample-efficient and can
be carried out with a continuous-wave laser and powermeters. The model
estimates individual passive phases, crosstalk, beamsplitter
reflectivity values, and relative input/output losses. Building upon
the accurate characterization results, we mitigate imperfections to
enable enhanced control over the device. We validate our
characterization and imperfection mitigation methods on a 12-mode
Clements-interferometer equipped with 126 phase shifters, achieving
beyond state-of-the-art chip control with an average 99.77% amplitude
fidelity on 100 implemented Haar-random unitary matrices.
Automated identification of abnormal infant movements from smart phone videos
Authors: Passmore E. , Kwong A. L. , Greenstein S. , Olsen J. E. , Eeles A. L. , Cheong J. L. Y. , Spittle A. J. , Ball G.
Published: February 2024

Cerebral palsy (CP) is the most common cause of physical disability during childhood, occurring at a rate of 2.1 per 1000 live births. Early diagnosis is key to improving functional outcomes for children with CP. The General Movements (GMs) Assessment has high predictive validity for the detection of CP and is routinely used in high-risk infants but only 50% of infants with CP have overt risk factors when they are born. The implementation of CP screening programs represents an important endeavour, but feasibility is limited by access to trained GMs assessors. To facilitate progress towards this goal, we report a deep-learning framework for automating the GMs Assessment. We acquired 503 videos captured by parents and caregivers at home of infants aged between 12- and 18-weeks term-corrected age using a dedicated smartphone app. Using a deep learning algorithm, we automatically labelled and tracked 18 key body points in each video. We designed a custom pipeline to adjust for camera movement and infant size and trained a second machine learning algorithm to predict GMs classification from body point movement. Our automated body point labelling approach achieved human-level accuracy (mean ± SD error of 3.7 ± 5.2% of infant length) compared to gold-standard human annotation. Using body point tracking data, our prediction model achieved a cross-validated area under the curve (mean ± S.D.) of 0.80 ± 0.08 in unseen test data for predicting expert GMs classification with a sensitivity of 76% ± 15% for abnormal GMs and a negative predictive value of 94% ± 3%. This work highlights the potential for automated GMs screening programs to detect abnormal movements in infants as early as three months term-corrected age using digital technologies.