bluuebunny/crossref_metadata_2025_split huggingface dataset:
High-Speed Motion Planning with Object Acceleration Constraint for Industrial Robots
Authors: Le Hieu Minh , Appuhamillage Gayan Kahandawa , Nguyen Linh 
Published: May 2024

AbstractIn this paper, we propose a new approach to efficiently plan trajectories for industrial robots, where total trajectory time is reduced while limiting the robot end-effector acceleration to a safe threshold, which guarantees an object to be transported safely without damage or spills. We also propose to solve the optimization problem in two steps by utilizing both the quadratic programming algorithm and sparse sequential quadratic programming method. The proposed two-step procedure empirically proves that computing time of solving the optimization problem is significantly reduced. Effectiveness of the proposed approach was verified in Drake, where the obtained results are highly promising.
Transforming Driver Education: A Comparative Analysis of LLM-Augmented Training and Conventional Instruction for Autonomous Vehicle Technologies
Authors: Murtaza Mohsin , Cheng Chi-Tsun , Fard Mohammad , Zeleznikow John 
Published: May 2024

AbstractAs modern vehicles continue to integrate increasingly sophisticated Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV) functions, conventional user manuals may no longer be the most effective medium for conveying knowledge to drivers. This research analysed conventional, paper and video-based instructional methods versus a Large Language Model (LLM)-based instructional tool to educate 86 participants about the operation of specific ADAS and AV functionalities. The study sampled participants aged between 20 and over 40, with driving experience ranging from one to over six years. The first group was educated using the conventional methods. In contrast, the second group received instructions via an LLM, i.e., users learn via ChatGPT interaction. Our goal was to assess the efficiency and effectiveness of these teaching methodologies based on the reaction times participants required to activate ADAS functions and the corresponding accuracies. Our findings revealed that the group trained via ChatGPT demonstrated significantly improved learning outcomes compared to conventional training. This included shorter activation times, higher consistency, and higher accuracy across examined functions. This study further proposed a framework to effectively use ChatGPT for different training scenarios and education purposes, offering a valuable resource for leveraging Artificial Intelligence (AI) in training users to handle complex systems. The framework empowers educators to tailor ChatGPT’s interactions, ensuring efficient, guided learning experiences for learners. For researchers, this study lays the foundation for exploring the role of LLM-based instructional tools in a broader range of applications.
Facile Semiconductor p–n Homojunction Nanowires with Strategic p-Type Doping Engineering Combined with Surface Reconstruction for Biosensing Applications
Authors: Li Liuan , Fang Shi , Chen Wei , Li Yueyue , Vafadar Mohammad Fazel , Wang Danhao , Kang Yang , Liu Xin , Luo Yuanmin , Liang Kun , Dang Yiping , Zhao Lei , Zhao Songrui , Yin Zongzhi , Sun Haiding 
Published: May 2024

AbstractPhotosensors with versatile functionalities have emerged as a cornerstone for breakthroughs in the future optoelectronic systems across a wide range of applications. In particular, emerging photoelectrochemical (PEC)-type devices have recently attracted extensive interest in liquid-based biosensing applications due to their natural electrolyte-assisted operating characteristics. Herein, a PEC-type photosensor was carefully designed and constructed by employing gallium nitride (GaN) p–n homojunction semiconductor nanowires on silicon, with the p-GaN segment strategically doped and then decorated with cobalt–nickel oxide (CoNiOx). Essentially, the p–n homojunction configuration with facile p-doping engineering improves carrier separation efficiency and facilitates carrier transfer to the nanowire surface, while CoNiOx decoration further boosts PEC reaction activity and carrier dynamics at the nanowire/electrolyte interface. Consequently, the constructed photosensor achieves a high responsivity of 247.8 mA W−1 while simultaneously exhibiting excellent operating stability. Strikingly, based on the remarkable stability and high responsivity of the device, a glucose sensing system was established with a demonstration of glucose level determination in real human serum. This work offers a feasible and universal approach in the pursuit of high-performance bio-related sensing applications via a rational design of PEC devices in the form of nanostructured architecture with strategic doping engineering.
Making the Complicated Simple: A Minimizing Carrier Strategy on Innovative Nanopesticides
Authors: Shangguan Wenjie , Huang Qiliang , Chen Huiping , Zheng Yingying , Zhao Pengyue , Cao Chong , Yu Manli , Cao Yongsong , Cao Lidong 
Published: May 2024

AbstractThe flourishing progress in nanotechnology offers boundless opportunities for agriculture, particularly in the realm of nanopesticides research and development. However, concerns have been raised regarding the human and environmental safety issues stemming from the unrestrained use of non-therapeutic nanomaterials in nanopesticides. It is also important to consider whether the current development strategy of nanopesticides based on nanocarriers can strike a balance between investment and return, and if the complex material composition genuinely improves the efficiency, safety, and circularity of nanopesticides. Herein, we introduced the concept of nanopesticides with minimizing carriers (NMC) prepared through prodrug design and molecular self-assembly emerging as practical tools to address the current limitations, and compared it with nanopesticides employing non-therapeutic nanomaterials as carriers (NNC). We further summarized the current development strategy of NMC and examined potential challenges in its preparation, performance, and production. Overall, we asserted that the development of NMC systems can serve as the innovative driving force catalyzing a green and efficient revolution in nanopesticides, offering a way out of the current predicament.
Paternal Incarceration, Family Relationships, and Adolescents’ Internalizing and Externalizing Problem Behaviors
Authors: Venema Simon D. , Haan Marieke , Blaauw Eric , Veenstra René 
Published: May 2024

AbstractLittle is known about the conditions under which paternal incarceration is harmful to children and the mechanisms that explain this. This study addressed the family relationship context in the associations between paternal incarceration and adolescents’ internalizing and externalizing problem behaviors. Using data from the Future of Families and Child Wellbeing Study, a moderated mediation model was specified where paternal incarceration predicted adolescents’ internalizing and externalizing problem behaviors through family relationship quality, and where the mediating role of family relationship quality was moderated by pre-incarceration family relationship characteristics. Using latent profile analyses, three pre-incarceration family clusters were identified (“Cohesive”; “Fragmented”; “Disharmonious”). Analyses indicated that the association between paternal incarceration and family relationship quality differed across pre-incarceration family clusters and that decreased father-mother relationship quality mediated the negative association between paternal incarceration and adolescents’ internalizing and externalizing problem behaviors among “Cohesive” and “Fragmented”, but not among “Disharmonious” family clusters. The findings suggest that adolescents with more harmonious pre-incarceration family relationships are most vulnerable to the negative consequences of paternal incarceration. The study demonstrates the need to consider the family relationship context to understand the intergenerational consequences of incarceration.
Experimental study of mechanical properties of artificial dam for coal mine underground reservoir under cyclic loading and unloading
Authors: Lyu Xin , Yang Ke , Xu Chaoshui , Fang Juejing , Duan Minke , Zhang Zhainan 
Published: May 2024

AbstractThis study investigates the stability of an artificial dam used in an underground reservoir in a coal mine under periodic weighting imposed by overlying rock strata. For this purpose, cyclic loading and unloading tests with different stress amplitudes were designed. Differences in the mechanical performance of the artificial dam with and without overlying strata were analyzed using a uniaxial compression test. The mechanical properties of the structure under constant-amplitude cyclic loading and unloading were characterized. Further, the law of influence of stress amplitude on stability was discussed. A formula for predicting the mechanical performance of the artificial dam with its overlying rocks (hereafter referred to as the complex) was finally derived and was suitable for clarifying the law of damage in the complex under cyclic loading and unloading. The results showed that the complex had changed the internal structure of rocks. The strength and deformation of the complex were intermediate to that of either single structure. All three underwent brittle failure. During the constant-amplitude loading and unloading tests, the hysteresis loop could be divided into three phases, namely, sparse, dense, and sparse again, with a shift in the turning point in rock deformation memory effect. As the stress amplitude increased during the test, the damping ratio of the specimens decreased, and the area of the hysteresis loop increased non-linearly. The dynamic elastic modulus decreased first and then increased. The confidence interval for the formula fitted based on the test results was above 97%. Damage to the complex caused by constant-amplitude loading and unloading could be divided into three stages. An increase in peak stress served as a catalyst for the evolution of small cracks within the specimens into median and large cracks, thereby accelerating the damage process.
Additive manufacturing of carbon-martensitic hardening ledeburitic cold work tool steels using Fused Filament Fabrication and subsequent Supersolidus Liquid-Phase Sintering
Authors: Röttger A. , Wieczorek L. , Schmidtseifer N. , Katzwinkel T. , Blüm M. , Löwer M. 
Published: May 2024

AbstractIn this work, the microstructure property relationship of D2 (X153CrMoV12; 1.2379) ledeburitic cold work steel processed by filament extrusion is investigated. Contrary to the conventional process, which involves a multi-step process of printing, debinding, and solid-state sintering, the specimens in this study were densified using Supersolidus Liquid-Phase Sintering (SLPS). SLPS occurs after thermal debinding in the interval between the solidus and liquidus temperatures. Optimized liquid-phase volume fraction was evaluated by means of thermodynamic calculations using the CALPHAD method and their experimental validation. The microstructure formation process during debinding, solid state, and SLPS sintering was investigated by X-ray diffraction and electron microscopy. Tomography studies confirm a relative density of 99.92% by volume during SLPS sintering at 1280 °C and provide a deep insight into local densification behavior during SLPS processing. In addition, surface roughness, as determined by confocal laser scanning microscopy, could be reduced. The reduction in porosity and surface roughness can be attributed to the presence of a liquid phase during SLPS. Using adapted heat treatment parameters determined by hardness-tempering curves, higher hardness values were achieved for SLPS-post-compacted specimens compared to conventionally processed specimens and the same material in the cast and heat-treated reference state.
Vom Teufelsquadrat zum nachhaltigen Engelsdiamanten und holistischen Bow-Tie-Modell: Methodenentwicklung für die ganzheitliche Analyse, Gestaltung und Entwicklung von nachhaltigen Arbeitssystemen
Authors: Flemisch Frank , Preutenborbeck Michael , Herzberger Nicolas , Wasser Joscha 
Published: May 2024

ZusammenfassungUm globalen Krisen wie dem Klimawandel oder Covid-19 entgegenzuwirken, wird es immer wichtiger, Arbeitssysteme nachhaltiger und resilienter zu gestalten. Dies betrifft nicht nur die ökologische, sondern auch die ökonomische, soziale und sicherheitspolitische Nachhaltigkeit. Vor diesem Hintergrund stellt sich die Aufgabe, etablierte Forschungsmethoden kritisch zu reflektieren, anzupassen und weiterzuentwickeln. In der vorliegenden Arbeit wurden Ansätze zur wertebasierten Systemgestaltung und -entwicklung untersucht, insbesondere mit dem Fokus, Nachhaltigkeit als grundlegenden Wert in der Systemgestaltung zu verankern. Es wurden zwei Modelle entwickelt, die einen ersten qualitativen Ansatz hierzu liefern können: Das „Engelsdiamant“-Diagramm zeigt Nachhaltigkeit auf der gleichen Ebene wie Zeit, Kosten, Funktionen und Qualität, die im klassischen Teufelsquadrat-Diagramm beschrieben werden. Das „holistische Bow-Tie-Modell“ zeigt die Verbindungen und Interaktionen zwischen einem lokalen soziotechnischen System und seinen globalen Metasystemen wie Organisationen, Gesellschaften und Umwelt. Die praktische Anwendung der Modelle im Rahmen eines NATO-Workshops im Kontext der Gestaltung eines KI-basierten Sicherheitssystems zeigt die Relevanz und erste Wirksamkeit beider Modelle.Praktische Relevanz:Die praktische Relevanz des Beitrags liegt in der Entwicklung und Anwendung von Modellen, die zur systematischen Integration von Nachhaltigkeitsaspekten in die Gestaltung von Arbeitssystemen beitragen. Sie ermöglichen es, die Auswirkungen auf ökologische, ökonomische, soziale und sicherheitspolitische Nachhaltigkeit bei Entscheidungen in der Systementwicklung zu berücksichtigen und fördern ein umfassenderes Verständnis der Wechselwirkungen zwischen lokalen und globalen Systemen. Die Anwendung der Modelle unterstützt dabei, komplexe Wechselwirkungen zu analysieren und Entscheidungen über ökologische, ökonomische und soziale Auswirkungen von Produkten oder Systemen zu treffen.
Techniques modernes de biopsies de prostate
Authors: Feldman Manuel , Buchs Sonia , Valerio Massimo , Windisch Olivier 
Published: May 2024

RésuméLes méthodes de biopsie de prostate n’ont cessé d’évoluer. La technique conventionnelle, où l’échantillonnage était réalisé de manière randomisée et systématique, par voie transrectale, s’est considérablement modifiée. L’IRM de prostate multiparamétrique avec injection de Gadolinium est désormais recommandée dans l’algorithme diagnostique des patients avec une suspicion de cancer de prostate. Le score PI-RADS v2.1 standardise l’acquisition des images et leur interprétation et permet d’éviter des biopsies chez une importante proportion des patients sans lésion suspecte. Les biopsies sont désormais principalement réalisées de manière ciblée sur les zones d’IRM suspectes. Ceci a permis de diminuer les prélèvements systématiques, avec finalement un meilleur diagnostic, mieux représentatif de la maladie. Les biopsies systématiques restent pertinentes pour détecter les cas de cancer non visibles à l’IRM.L’approche transrectale, longtemps utilisée en raison de sa facilité d’utilisation, est progressivement abandonnée au profit des biopsies transpérinéales qui ont l’avantage de limiter le risque infectieux en l’absence de contamination par le tube digestif. De plus, la performance diagnostique entre les deux techniques est similaire, avec même un probable bénéfice de diagnostic en faveur des biopsies par voie transpérinéale au niveau de l’apex prostatique, et de la zone antérieure qui sont difficilement échantillonnable par voie transrectale. Le développement de technique d’anesthésie et des biopsies ciblées par voie transpérinéale a également rendu ce geste faisable en anesthésie locale.
Corticotropin-releasing hormone deficiency results in impaired analgesic response during CFA-induced inflammation
Authors: Karagianni Efthymia , Rassouli Olga , Poulaki Smaragda , Dermitzaki Eirini , Liapakis George , Margioris Andrew N. , Venihaki Maria 
Published: May 2024

Abstract
Purpose
Corticotropin-releasing hormone (CRH) plays an important role in relief of pain by releasing analgesia-associated molecules in several inflammatory states. During inflammation, peripheral CRH acts on cells of the immune system to stimulate the local expression of proopiomelanocortin (POMC) and the production of β-endorphin, which in turn binds to opioid receptors on sensory neurons to produce antinociception. In the present study, we further investigated the role of endogenous CRH in inflammatory pain by determining the effects of Crh-deficiency on this process.

Methods
For this purpose, we used Crh-deficient (Crh-/-) mice and their wildtype (Crh + / +) littermates in the CFA (Complete Freund’s Adjuvant)-induced inflammatory pain model. Pain thresholds were evaluated with the Hargreaves apparatus.

Results
Our experiments showed that Crh deficiency led to increased pain response, which was associated with decreased POMC mRNA levels in locally inflamed paws of these mice. Furthermore, Crh-/- mice had higher paw edema than Crh + / + mice. Histological evaluation of inflamed paw tissues revealed increased inflammatory response in Crh-/- mice. Protein levels of proinflammatory cytokines, such as IL-6, TNF-α, and IL-1β, were higher in inflamed tissue of Crh-/- mice compared to wildtype mice. Corticosterone replacement increased the pain threshold of Crh-/- mice, restored their paw volume to the levels of wildtype mice, and significantly reduced their proinflammatory cytokine levels. Furthermore, glucocorticoid administration significantly increased POMC mRNA expression in the inflamed paw.

Conclusion
Our data suggest that genetic deficiency of CRH is associated with increased pain. This effect is likely attributable to the accompanying glucocorticoid insufficiency and is in part mediated by opioids expressed locally.
RSR-YOLO: a real-time method for small target tomato detection based on improved YOLOv8 network
Authors: Yue Xiang , Qi Kai , Yang Fuhao , Na Xinyi , Liu Yanhua , Liu Cuihong 
Published: May 2024

AbstractIn tomato producing fields, automated large-area detection method is critical for fruit health monitoring and harvesting. However, due to the limited feature information included in tomatoes, large-area detection across long distances results in more missing or incorrect detections. To address this issue, this research proposes an improved YOLOv8 network, RSR-YOLO, for long-distance identification of tomato fruits. Firstly, this paper designs a partial group convolution (PgConv) and furthermore an innovative FasterNet (IFN) module for feature extraction, taking into account the impact of split operations on the computational complexity of the backbone network. The IFN module is lightweight and efficient, which improves the detection accuracy and real-time detection performance of the model. Secondly, this research combines the Gather and Distribute mechanism (GD) and redesigns the feature fusion module to implement the extraction and fusion of various levels of tomato features, given the critical significance that low-dimensional features play in small target recognition and localization. Finally, Repulsion Loss is used in this paper to examine the impact of fruit overlap and leaf occlusion on detection outcomes. RSR-YOLO achieves precision, recall, F1 score, and mean average precision (mAP@0.5) of 91.6%, 85.9%, 88.7%, and 90.7%, respectively, marking increases of 4.2%, 4%, 4.2%, and 3.6% compared to YOLOv8n. In addition, this paper designs a specialized Graphical User Interface (GUI) for the real-time detection task of tomatoes.
Generalized Cesàro operator acting on Hilbert spaces of analytic functions
Authors: Mas Alejandro , Merchán Noel , de la Rosa Elena 
Published: May 2024

AbstractLet $$\mathbb {D}$$
D
denote the unit disc in $$\mathbb {C}$$
C
. We define the generalized Cesàro operator as follows: $$\begin{aligned} C_{\omega }(f)(z)=\int _0^1 f(tz)\left( \frac{1}{z}\int _0^z B^{\omega }_t(u)\,\textrm{d}u\right) \,\omega (t)\textrm{d}t, \end{aligned}$$

C
ω

(
f
)

(
z
)

=

∫
0
1

f

(
t
z
)

1
z

∫
0
z

B
t
ω

(
u
)

d
u

ω

(
t
)

d
t
,

where $$\{B^{\omega }_\zeta \}_{\zeta \in \mathbb {D}}$$

{

B
ζ
ω

}

ζ
∈
D

are the reproducing kernels of the Bergman space $$A^{2}_{\omega }$$

A
ω
2

induced by a radial weight $$\omega $$
ω
in the unit disc $$\mathbb {D}$$
D
. We study the action of the operator $$C_{\omega }$$

C
ω

on weighted Hardy spaces of analytic functions $$\mathcal {H}_{\gamma }$$

H
γ

, $$\gamma >0$$

γ
>
0

and on general weighted Bergman spaces $$A^{2}_{\mu }$$

A
μ
2

.
Scaling Up Whole Child Development Initiatives: Lessons from the Early Journey of Life Program in Vietnam
Authors: Guzman Bautista Patricia , Lam Jasmine , Radner James 
Published: May 2024

AbstractHuman development programs—for example, early childhood interventions—often depend on high-quality, respectful human relationships. This creates a challenge for implementation at large scale. Here, we review how this challenge was addressed in the scale-up of the Early Journey of Life (EJOL) program, an evidence-based initiative in Vietnam that supports parents and families in the first 1,000 days of children’s lives. The program’s experience highlights the value of an approach to scaling that aims to energize stakeholders, including at the front line as well as among government leaders; rapidly learn and adapt based on new evidence; empower leadership across the delivery system; rebalance agency to the front line; and gradually but systematically embed program principles and activities in large government systems. Our findings suggest that EJOL’s work to implement scale-up along these lines was in turn grounded in high-quality relationships with those engaged in the program, from family members to frontline workers to middle managers and senior government officials. The EJOL program has successfully scaled to reach 109 rural communes in Ha Nam province and continues to expand and diversify while retaining its core focus on high-quality human relationships.
The interplay of religious values, servant leadership and teacher job satisfaction in Bangladeshi education institutions
Authors: Hossain Mohammed Zaber , Islam Md Shamimul , Ali Isahaque , Baikady Rajendra , Azman Azlinda , Uddin Muhammed Kabir 
Published: May 2024

AbstractThe interplay of principals’ religious values and servant leadership can play a prominent role in promoting job satisfaction among teachers in Bangladeshi schools and colleges. This study aimed to examine the mediating role of servant leadership style in the relationship between the principals’ religious values and the job satisfaction of teachers in Bangladesh. The study surveyed 335 participants from schools and colleges using a self-administered questionnaire and analyzed the data using Partial Least Square Structural Equations Modeling (PLS-SEM) via Smart PLS 4 software. The findings showed that principals’ religious values and servant leadership style have a positive impact on teachers’ job satisfaction, with servant leadership serving as a mediator in the relationship. The research expands upon the servant leadership theory in an educational setting where religious values play a significant role. It offers valuable insight into the impact of principals’ religious values and servant leadership style on teachers’ job satisfaction. The study has practical implications, in a setting where Islam as a dominating religion, for educational administrators, as it sheds light on how principals’ religious values and servant leadership impact teachers’ job satisfaction in schools and colleges in Bangladesh.