bluuebunny/crossref_metadata_2025 huggingface dataset:
Magnetic Resonance Imaging of Temporomandibular Joint and Aortic Root Score in Fibrillinopathies
Authors: Moisii Paloma , Naum Alexandru Gratian , Ursu Andra Mara , Vilcu Adrian , Eşanu Irina Mihaela , Jari Irina
Published: September 2024

Background and Objectives: Fibrillinopathies have different phenotypic expression: Marfan- like skeleton features, MLSF; mitral valve prolapse syndrome, MVPS; MASS phenotype, M= mitral valve prolapse, MVP, A= aortic root dilation, S= skeletal features, and the second S= (cutaneous) striae; Marfan syndrome, MS. These are inherited connective tissue diseases, provoked by a mutation of the encoding gene for a protein(fibrillin 1, FBN1) which has major importance in the formation of elastic fibers.The study had the following main objectives: the correlation between disc displacement, DD( a major sign for temporomandibular joint dysfunction, TMD) on magnetic resonance imaging, MRI, and aortic Z score(a major sign for aortic root dilation) on echocardiography; the predictive value of DD towards aortic Z score. DD had 2 types of severity: DD with reduction(the mild type, DDwR) , and DD without reduction( the severe type, DDwoR). Materials and Methods: The type of fibrillinopathy was precised by clinical exam( systemic score), ophthalmic exam(for ectopia lentis), and echocardiography(aortic Z score, MVP). Medical treatment consisted in betablockers, BB(for patients with tachycardia), or angiotensin II receptor blockers, ARB. Surgical treatment was addressed to aortic root aneurysm, and severe MR. DD benefited by dental conservatory treatment, or surgical restoration.Results: DD- Z score had a powerful correlation in MASS(Rho= 0.787, p< 0.01), and in MS patients(Rho=0.819, p< 0.01). For the entire sample, both DDwR- Z score, and DDwoR- Z score had a moderate correlation(Rho= 0.469, and respectively 0.669). Muchmore, DD was an important predictor for Z score. DDwoR had a double power of prediction for Z score, comparative with DDwR(B coefficient= 1.661 for DDwR, and 3.281 for DDwoR). Conclusions: TMD had a powerful correlation with aortic root dilation, in MASS, and MS patients from the sample. Likewise, TMD was a major predictor for aortic root dilation, in the entire sample. We can utilize in clinical practice, an extracardiac finding, TMD, obtained by a non-invasive technique, MRI, for cardiac severity stratification of fibrillinopathies.
Modulating Pain Signaling: The Impact of Tefluthrin, Telmisartan, and KB-R7943 on Voltage-Gated Na+ Currents
Authors: Huang Hsun-Yu , Huang Yi-Bo , Wu Chao-Liang , Wu Sheng-Nan
Published: September 2024

Tefluthrin (Tef) is categorized as a type-I pyrethroid insecticide, telmisartan (Tel) functions as an angiotensin II receptor blocker, and KB-R7943 was identified as an inhibitor of Na+-Ca2+ exchange process. However, the influence of these compounds on the amplitude and gating properties of voltage-gated Na+ current (INa) in neurons associated with pain signaling remains unclear. In cultured dorsal root ganglion (DRG) neurons, whole-cell current recordings revealed that Tef or Tel increased the peak amplitude of INa, concomitant with an elevation in the time constant of INa inactivation, particularly in the slow component. Conversely, exposure to KB-R7943 resulted in a depression in INa, coupled with a decrease in the slow component of the inactivation time constant of INa. Theoretical simulations and bifurcation analyses were performed on a modeled interneuron in the spinal dorsal horn. The occurrence of INa inactivation accentuated the subthreshold oscillations (SO) in the membrane potential. With an increase in applied current, SO became more pronounced, accompanied by the emergence of high-frequency spiking (HF) with a frequency of approximately 150 Hz. Moreover, an elevation in INa conductance further intensified both SO and HF. Consequently, through experimental and in silico studies, this work reflects that Tef, Tel, or KB-R7943 significantly impacts the magnitude and gating properties of INa in neurons associated with pain signaling. The alterations in INa magnitude and gating in these neurons suggest a close relationship with pain transmission.
Revolutionizing Molecular Design for Innovative Therapeutic Applications through Artificial Intelligence
Authors: Son Ahrum , Park Jongham , Kim Woojin , Yoon Yoonki , Lee Sangwoon , Park Yongho , Kim Hyunsoo
Published: September 2024

The field of computational protein engineering has been transformed by recent advancements in machine learning, artificial intelligence, and molecular modeling, enabling the design of proteins with unprecedented precision and functionality. Computational methods now play a crucial role in enhancing the stability, activity, and specificity of proteins for diverse applications in bio-technology and medicine. Techniques such as deep learning, reinforcement learning, and transfer learning have dramatically improved protein structure prediction, optimization of binding affin-ities, and enzyme design. These innovations have streamlined the process of protein engineering by allowing the rapid generation of targeted libraries, reducing experimental sampling, and en-abling the rational design of proteins with tailored properties. Furthermore, the integration of computational approaches with high-throughput experimental techniques has facilitated the development of multifunctional proteins and novel therapeutics. However, challenges remain in bridging the gap between computational predictions and experimental validation, and in ad-dressing ethical concerns related to AI-driven protein design. This review provides a compre-hensive overview of the current state and future directions of computational methods in protein engineering, emphasizing their transformative potential in creating next-generation biologics and advancing synthetic biology.
Applying Bourdieu's Theory to Public Perceptions of Water Scarcity During El Niño: A Case Study of Santa Marta, Colombia
Authors: De Luque-Villa Miguel A. , Granda-Rodríguez Hernán Darío , Garza-Tatis Cristina Isabel , González-Méndez Mauricio
Published: September 2024

This study investigates the sociological dimensions informing public perceptions of water scarcity during the El Niño drought period in Colombia. We conducted this study in Santa Marta, Colombia, and surveyed 405 urban and rural residents to understand their perceptions of water scarcity, management, and the impacts of the El Niño phenomenon. The survey used a Likert scale to measure responses and employed a multivariate analysis of variance to analyze the data while considering factors such as location (urban versus rural) and gender. The study results indicated that urban residents often experience an irregular water supply all year, whereas most rural respondents noted a more consistent availability of water. The perception of water scarcity also differed notably between urban and rural areas due to their different historical and cultural experiences (habitus). Urban respondents mostly recognized the presence of water, while rural perspectives were less conclusive, likely influenced by their direct access to natural water sources. Participants across various demographics consistently reported that poor management by local, regional, and national governments contributes to the water scarcity crisis, highlighting the widespread call for urgent reforms in water management policies and practices. Our research suggests that better understanding the social foundations of such perceptions using Bourdieu's concepts of social fields, habitus, and capital forms can significantly enhance water management strategies.
Metabolic Response to Cropping Pattern in Saffron (Crocus sativus L.)
Authors: Jiang Qianqian , Liu Kai , Zhang Yan , Zhai Junjie , Yang Yang , Gao Wenli , Cheng Xiang , Zhou Liang , Cai Huimei
Published: September 2024

Considering the prevalence of cropping pattern in many Saffron cultivation regions, the continuous cropping obstacle caused the decline in growth and development. These effects justify the necessity of studying agronomic strategies to promote plant quality and production. Herein, the mono cropping, intercrop of Paulownia and Saffron, and intercrop of Soybean and Saffron patterns have been performed. The metabolites of Saffron under three cropping patterns were determined and identified using by an ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method. Uni and multivariate statistical analysis were applied to examine the difference between groups and select the significant differential accumulated metabolites. The results showed that a total of 315 compounds were significantly changed in three comparison groups. Phenylalanine metabolism, linoleic acid metabolism, and flavonoid biosynthesis pathway has been greatly enriched by the changed metabolites. The phenyl lactate, trans-2-Hydroxy-cinnamate, γ-Linolenate, 9-oxo-octadecadienoic acid, 13-0xo-0ctadecadienoic acid, 9,12,13-TriHOME of those metabolites showed significant differential accumulation in Saffron under three cropping patterns. And the accumulation of safranal and picrocrocin related compounds, such as Crocetin, Crocin showed a similar variation regularity. These indicate that there may be a close internal relationship between the cropping pattern and the biosynthesis of metabolites related to endogenous substances and Saffron quality formation.
People at Risk of, or with Cardiovascular Diseases’ Perspectives and Perceptions of Physiotherapist-Led Health Promotion in Cameroon: A Mixed-Methods Study
Authors: Ngeh Etienne Ngeh , McLean Sionnadh , Kuaban Christopher , Young Rachel , Strafford Ben W , Lidster Joanne
Published: September 2024

Cardiovascular diseases (CVDs) and their risk factors are a major cause of illness and death worldwide, especially in low- and middle-income countries like Cameroon. Physiotherapist-led health promotion (PLHP) has proven effective in improving health and reducing CVD risks. Understanding patient perspectives is crucial for designing effective, context-specific PLHP interventions. This study explored patients' views, experiences, perceived usefulness, acceptability, and preferred methods of PLHP through a sequential explanatory mixed-methods approach. The quantitative data highlights a significant burden of CVD conditions and risk factors among patients seen in physiotherapy services. Qualitatively, three themes were identified and included: 1) perspectives and experiences of people at risk or with CVDs (pwCVDs) on PLHP; 2) Perceived usefulness and acceptability of PLHP; 3) Preferred delivery methods of PLHP. Participants reported positive feedback on PLHP and physiotherapy services. Barriers to effective PLHP included high workloads for physiotherapists, limited service access in rural areas, and prohibitive costs. Despite these challenges, participants expressed strong confidence in physiotherapists' competence, though they also called for improved regulation and ongoing professional development. PLHP components, especially physical treatment and dietary advice, were deemed highly useful and acceptable. Patients suggested various delivery methods, including peer support groups, home visits, and mass media interventions. This study highlights the need to improve the scope of practice, competence of physiotherapists and accessibility of physiotherapy services in Cameroon for pwCVDs. It is necessary to adopt multidisciplinary approaches to achieve better outcomes for risk factors like diabetes and hypertension in context.
Normative Data for the D-KEFS Color-Word Interference and Trail Making Tests Adapted in Greek Adult Population 20–49 Years Old
Authors: Tsatali Marianna , Surdu Fotini , Konstantinou Andromachi , Moraitou Despina
Published: September 2024

Background: This study was designed to adapt the Delis-Kaplan Executive System (D-KEFS) version of the Color-Word Interference (CWIT) and Trail making Tests (TMT) in Greek adult population from 20 to 49 years old, since it is of research as well as clinical importance to detect executive functions’ impairment in young adults with neurological or/and psychiatric conditions. Aims: Norms for the Greek adult population have been calculated to be available for neuropsychologists and health professionals who work in relevant settings. Methods: The study sample consisted of 101 healthy adults (41% male and 60% female), aged 20 to 49 years (M=32.16, SD=11.57) with education from 12 to 19 years of schooling (M=14.51, SD= .89). Pearson correlation test as well as chi square test were conducted to examine potential associations between gender, age, education, and participants’ performance. Afterwards, we calculated normative data using raw scores and transformed them to percentile scores. Finally, Greek norms were compared to the original raw scores, which were transformed in scaled scores by Delis et al. (2001). Results: The findings showed that age was the only variable which affected CWIT, whereas level of education as well as age were predictive factors for most TMT conditions, except for the visual scanning test (Condition 1). Gender did not affect both tests. Finally, D-KEFS norms for CWIT and TMT are available for Greek adult population to help clinicians detect executive functions’ deficits and therefore adjust tailored therapeutic strategies. Additionally, it is of great importance to use these tests for research purposes. Conclusion: Given that executive functions are assumed as high- level skills, which are highly related to everyday functionality, adapted tests contribute not only to assess the progression of any existing neurological as well as psychiatric disorders, but they can also be used to evaluate patients’ ability to live independently, as well as their access to work.
Analyzing the Cooling Effects of Water Facilities in Urban Park: The Case of Sangju Namsan Park, South Korea
Authors: Yim Young-Shin , Kim Tae Hyoung , Zoh Hyunmin Daniel , Kwon Tae Kyung
Published: September 2024

This study investigates the cooling effects of water facilities installed in urban parks, focusing on Sangju Namsan Park. The park features a water path and a cooling fog system, introduced as part of an environmental adaptation project to mitigate urban heat. Microclimate data were collected during the hot summer months of 2023 to assess the impact of these facilities on air temperature, humidity, and perceived thermal comfort. Results indicate that the water path and fog system reduced surface temperatures by up to 1.08°C, with additional benefits in reducing fine particulate matter and CO2 levels. The findings suggest that strategically placed water features can enhance thermal comfort and air quality in urban parks, offering a practical approach to climate change adaptation in urban planning. These insights are crucial for urban planners and policymakers aiming to improve public health and quality of life in the face of climate change.
Optimized Right-Turn Pedestrian Collision Avoidance System Using Intersection LiDAR
Authors: Park Soo-Yong , Kee and Seok-Cheol
Published: September 2024

The incidence of right-turning pedestrian accidents is increasing in South Korea. Most of the accidents occurred when the larger vehicle was turning right, and the main cause of the accidents was found to be the driver's limited field of vision. After these accidents, the government has implemented a series of institutional measures with the objective of preventing such accidents. However, despite the institutional arrangements in place, pedestrian accidents continue to occur. We focused on the many limitations that autonomous vehicles, like humans, can face in such situations. To address this issue, we propose a right-turn pedestrian collision avoidance system by installing a LiDAR sensor in the center of the intersection to facilitate pedestrian detection. Furthermore, the urban road environment is considered, as this provides the optimal conditions for the model to perform at its best. During this research, we collected data on right-turn accidents using the CARLA simulator and ROS interface and demonstrated the effectiveness of our approach in preventing such incidents. Our results suggest that the implementation of this method can effectively reduce the incidence of right-turn accidents in autonomous vehicles.
Lateral Antebrachial Cutaneous Nerve Neuropathy: Electrodiagnostic Findings and Etiologies in 49 Cases
Authors: Iyer Vasudeva , Shields Lisa B.E. , Zhang Yi Ping , Shields Christopher B.
Published: September 2024

Background: The lateral antebrachial cutaneous nerve (LACN) is the terminal sensory branch of musculocutaneous nerve and is rarely entrapped or injured. This study describes the electrodiagnostic (EDX) findings and etiologies of LACN neuropathy.
Methods: This is a review of 49 patients with pain and/or paresthesia of the forearm who underwent EDX studies. The diagnosis of LACN neuropathy was based on clinical and sensory conduction abnormalities.
Results: The most common etiology of LACN neuropathy was iatrogenic injury in 30 (61.2%) patients, primarily due to biceps tendon repair at the elbow (11 [36.7%]) and phlebotomy (5 [16.7%]. Fifteen (30.6%) patients sustained a non-iatrogenic injury at the proximal forearm/elbow, consisting of 6 (60%) laceration injuries and 5 (33.3%) stretch injuries. Four (8.2%) patients comprised the “other” etiology category, including 2 mass lesions causing LACN compression. Pain, paresthesia, and/or numbness in the LACN distribution were reported in 33 (67.3%), 27 (55.1%), and 23 (46.9%) patients, respectively. Hypoesthesia was detected in 45 (91.8%) patients, and dysesthesia in 7 (14.3%). The sensory nerve action potentials (SNAPs) of the LACN on the symptomatic side were absent in 44 (89.8%) patients. Of the 5 patients whose SNAPs of the LACN were detected, all had a decreased amplitude and 2 had increased sensory latency.
Conclusion: The most common etiology for LACN neuropathy in this series was iatrogenic injury; repair of biceps tendon at the elbow was the most frequent provoking cause. Protection of the LACN during surgical procedures at the elbow and forearm is vital to prevent iatrogenic injury.
Involvement of RIPK1 in Alopecia Areata
Authors: Kim Hyunju , Zheng Mei , An Sungchan , Park In Guk , Noh Minsoo , Sung Jong-Hyuk
Published: September 2024

We have previously demonstrated that receptor-interacting serine threonine kinase 1 (RIPK1) is expressed in hair follicle and regulates hair cycle. RIPK1 inhibitors also accelerated the telogen-to-anagen transition and elongated the anagen period in the mouse model. Here, we first investigated the involvement of RIPK1 in alopecia areata (AA). mRNA and protein expression of RIPK1 was increased in the skin of AA mouse model. Single cell RNA sequencing and immunohistochemistry showed that RIPK1 is highly increased in dendritic cells (DCs) and CD8+ T cells. RIPK1 inhibitors (i.e., Necrostatin-1s and GSK2982772) delayed the onset of AA in mouse model, and reduced the DCs and CD8+ T cells in AA skin. RIPK1 inhibitors also increased the hair length in the mouse hair organ culture mimicking AA. Collectively, these results suggest that RIPK1 is involved in AA onset via modulating immune cells, and RIPK1 inhibitors could prevent AA onset.
Exploiting Axisymmetry to Optimize CFD Simulations -Heave Motion and Wave Radiation of a Spherical Buoy
Authors: Davidson Josh , Nava Vincenzo , Andersen Jacob , Kramer Morten Bech
Published: September 2024

In ocean engineering, accurate and efficient numerical simulations are crucial. Leveraging axisymmetry vastly enhances the efficiency of a simulation, reducing a three-dimensional scenario to a two-dimensional simulation. Exploiting axisymmetry enables a significant reduction in computational demand while maintaining simulation fidelity. In this paper, axisymmetry is leveraged to perform a large ensemble of simulations, in order to evaluate and maximise the accuracy and efficiency of a Computational Fluid Dynamics (CFD) simulation. In particular, the free decay motion and wave radiation from a heaving semi-submerged sphere are simulated, using the Reynolds Averaged Navier Stokes (RANS) solver, interFOAM, in the opensource finite volume CFD software OpenFOAM. Validated against highly accurate experimental data, extensive parametric studies are conducted, previously limited by computational constraints, which facilitate the refinement of simulation setups. More than 50 iterations of the same heaving sphere simulation are performed, informing efficient trade-offs between computational cost and accuracy across various simulation parameters and mesh configurations. Ultimately, by employing axisymmetry, this research contributes to the development of more accurate and efficient numerical modeling in ocean engineering.
Greek Norms for the D-kefs Verbal and Design Fluency Subtests in Adult Population between 20–49 Years Old
Authors: Tsatali Marianna , Konstantinou Andromachi , Surdu Fotini , Moraitou Despina
Published: September 2024

Background: Delis-Kaplan Executive Function System (D-KEFS) is a neuropsychological tool used in clinical practice to measure executive function in clinical and non-clinical populations, in individuals aged 8-89 years, and consists of nine subtests that can be administered either as a single system or separately. Aims: In the present study, were established norms for the Verbal Fluency Test as well as the Design Fluency Test of the D-KEFS in a Greek population aged 20 to 49 years, since there is no previous study conducted in Greece for these age clusters. Methods: The study sample consisted of 100 healthy adults (44.4% male and 55.6% female), aged 20 to 49 years (M=32.81 SD=11.04) with education from 12 to 18 years (M=14.73, SD= .91). First, Spearman and Pearson tests explored the associations of gender, age and education with D-KEFS subtests’ performance. Afterwards, we calculated normative data using raw scores and transformed to percentile scores. Results: The present study is the first attempt to calculate norms for the two fluency subtests of the D-KEFS in Greek adult population stratified by age and educational level. Conclusion: Future research will promote the use of D-KEFS, in order to introduce a widely used tool which measures all basic executive functions subtypes for Greek adult population. Given that the majority of neuropsychological tools are adapted for older adult population, the current study aims at filling the gap in neuropsychological assessment of young adults as well as those who have co existing neurological or psychiatric disorders.
Neuroergonomic Attention Assessment in Safety-Critical Tasks: EEG Indices and Subjective Metrics Validation in a Novel Task-Embedded Reaction Time Paradigm
Authors: Bjegojević Bojana , Pušica Miloš , Gianini Gabriele , Gligorijević Ivan , Cromie Samuel , Leva Maria Chiara
Published: September 2024

This study addresses the gap in methodological guidelines for Neuroergonomic attention assessment in safety-critical tasks, focusing on validating EEG indices including the Engagement Index (EI) and Beta/Alpha ratio alongside subjective ratings. A novel task-embedded reaction time paradigm was developed to evaluate the sensitivity of these metrics to dynamic attentional demands in a more naturalistic multitasking context. By manipulating attention levels through varying secondary tasks in the NASA MATB-II task while maintaining a consistent primary reaction-time task, the study successfully demonstrated the effectiveness of the paradigm. Results indicate that both Beta/Alpha ratio and EI are sensitive to changes in attentional demands, with Beta/Alpha being more responsive to dynamic variations in attention, and EI reflecting more the overall effort required to sustain performance, especially in conditions where maintaining attention is challenging. The potential for predicting the attention lapses through integration of performance metrics, EEG measures, and subjective assessments was demonstrated, providing a more nuanced understanding of dynamic fluctuations of attention in multitasking scenarios, mimicking those in real-world safety-critical tasks. These findings provide a foundation for advancing methods to accurately monitor attention fluctuations and mitigate risks in critical scenarios, such as train-driving or automated vehicle operation, where maintaining high attention level is crucial.
External Hemipelvectomy in Soft Tissue Sarcomas: Are They Still Needed?
Authors: Ramos Pascua Luis Rafael , Casas Ramos Paula , De la Cruz González Lidia , Negri Maximiliano Eugenio , Vilar González Elena , Córdova Peralta Julio César , Mora Fernández María Inmaculada , Vilá y Rico Jesús Enrique
Published: September 2024

Background: The development of new technologies, interpretation of amputations as therapeutic failures by society, and high morbidity and mortality associated with external hemipelvectomies make these mutilating surgical procedures appear obsolete. Herein, we review the scientific literature on the topic and present two cases of high-grade ulcerated soft tissue sarcomas in the gluteal region showing exceptional behavior and different outcomes. Methods: We performed a literature review of the PubMed databases from 2022 to April 2024. Additionally, we present two cases of soft tissue sarcomas in 18- and 71-years old female patients, which were treated with extended external hemipelvectomies with anterior flap and in combination with abdomino-perineal amputation and colostomy in one case. Results: At 4 years of follow-up, case one is living a relatively normal life. She had an uncomplicated pregnancy and a cesarean section delivery. Case two underwent emergency surgery for intestinal perforation and sepsis. She died 2.5 months following the surgery. Conclusion: External hemipelvectomy for soft tissue sarcoma treatment is a demanding surgical procedure with purpose in selected cases after review by multidisciplinary committees and with informed patient consent. This should be similarly individualized and extended to other pathologies when possible
Computational Elucidation of Human β-defensin-2 as a Dual Inhibitor of MMP-9 and PKC-βII for Diabetic Wound Management
Authors: Sanapalli Vidyasrilekha , Sigalapalli Dilep Kumar. , Shaik Afzal B. , Bhandare Richie R. , Sanapalli Bharat Kumar Reddy
Published: September 2024

Diabetic wound (DW) is the most devastating complication resulting in significant mortality and morbidity in diabetic patients. Although the pathophysiology of DWs is multifaceted, evidence revealed that prolonged inflammation with infections, extracellular matrix (ECM) degradation and unnecessary NETosis impair DW healing. This theoretical problem commands the necessity of developing a novel strategy focused on targeting the 'specific' molecular modalities of DW. The primary culprits, matrix metalloproteinase (MMP)-9 and protein kinase C (PKC)-βII, are responsible for impaired angiogenesis, NETosis, and ECM degradation. Thus, there is reinvigorated interest in identifying selective inhibitors for the effective management of DW. The current study exemplified human β-defensin-2 (HBD-2), a biological macromolecule as a dual-inhibitor of MMP-9 and PKC-βII using protein-protein docking and molecular dynamics simulation studies. Residue-residue interactions and binding affinity were investigated using Z-dock. Chemical bonding behavioral changes, structural dynamics, and functional changes were determined using GROMACS by analyzing RMSD, ROG, RMSF, SASA, FEL, and PCA. Overall, the data analysis revealed that HBD-2 possesses strong binding affinity and stability against MMP-9 and PKC-βII, which can be an ideal therapeutic for the accelerated healing of DW. The study provides valuable insights into the molecular mechanisms underlying hBD-2's potential therapeutic effects, offering new avenues for the development of innovative treatment strategies. The clinical relevance of our findings lies in their potential to inform the development of new approaches for diabetic wound management, addressing a significant healthcare concern.
Change Detection Techniques in Dense Point Clouds for Cultural Heritage Preservation: The Case Study of the San Pietro Barisano Bell Tower in Matera, Italy
Authors: Fattore Carmen , Porcari Sara , Priore Arcangelo , Porcari Vito Domenico
Published: September 2024

This study examines change detection techniques in dense point clouds for the purpose of Cultural Heritage preservation, with a particular focus on the San Pietro Barisano Bell Tower in Matera, Italy. Dense point clouds, obtained via advanced laser scanning, offer detailed 3D representations of heritage structures, facilitating the precise monitoring changes over time. The investigation uses a variety of change detection algorithms, including the Iterative Closest Point (ICP) algorithm, which is renowned for its robust registration capabilities in aligning point clouds with high accuracy. The combination of ICP with deviation analysis and feature-based methods allows for the effective identification of alterations, including deformations, material loss, and surface degradation. This methodology establishes a comprehensive framework for the monitoring of Cultural Heritage, thereby enabling timely and targeted preservation efforts. The results emphasise the substantial contribution of dense point cloud analysis to the enhancement of heritage management and the safeguarding of vulnerable architectural sites.
Molecular Modeling Tools Used for the Prediction of Amyloid-β Fibrils Disaggregating Molecules from Plant Sources
Authors: Rakesh Uthirapathi Logeswari , Anil Kumar Golla , Panneerselvam Theivendren , Pavadai Parasuraman , Veerachamy Suganthan , Palanisamy Ponnusamy , Bandral Sunil Kumar , Alagarsamy* Santhana Krishna Kumar , Kunjiappan Selvaraj
Published: September 2024

The defining characteristic of Alzheimer's disease (AD) is the aberrant deposition of pathogenic proteins, particularly a massive build-up of amyloid-β peptides, specifically in the brain. Amy-loid-β aggregation is neurotoxic and ultimately results in dysfunction of the nervous system. The present investigation aims to predict potential amyloid-β fibrils disaggregating molecules from plant sources through molecular modeling techniques, this appears to be a very promising and appealing treatment philosophy. Here, 500 flavonoids from various plants were considered, ini-tially undergoing ADME studies to screen molecules that could cross the blood-brain barrier. Later, potential Amyloid-β-disaggregating molecules were identified by molecular docking and dynamics (MD) simulation studies. Five molecules, prenylmethoxy flavonol (-7.3 kcal×mol-1), isopentenyl flavonol (-7.3 kcal×mol-1), 7,3'-Dihydroxyflavone (-7.2 kcal×mol-1), 7-Hydroxy-5-methyl-4'-methoxyflavone (-7.2 kcal×mol-1), 8-hydroxy-7-methoxyflavone (-7 kcal×mol-1) showed higher binding affinity score against Alzheimer's Aβ (1-42) fibrils, these are very close to the standard drug (Donepezil) (-7.90 kcal×mol-1). Further, the MD simulation studies established the intermolecular interaction and stability of the five selected ligands-Amyloid-β oligomer protein complexes. These results suggest that the chosen five flavonoid molecules could be used as possible agents to disaggregate amyloid-β fibrils; however, more in vitro and in vivo investigations are required to verify the therapeutic effectiveness.
Upgrading Biomass Wastes to Graphene Quantum Dots with White Light Emitting Features at the Solid State
Authors: Magri Pierre , Franchetti Pascal , Gaumet Jean-Jacques , Maxit Benoit , Diliberto Sébastien , Pierrat Philippe
Published: September 2024

The emergence of "green" materials has been attracting significant attention along the last few years for various applications. Here, we report a rapid, efficient and reproducible microwave-assisted synthesis of graphene quantum dots GQDs of identical features whatever the nature of biomass wastes investigated. The synthesized GQDs were fully characterized by X-ray photoelectron spectroscopy, Fourier transform infrared spectroscopy, transmission electron microscopy and dynamic light scattering. The nanoparticles display narrow size of some nanometers with crystal lattices. Furthermore, the water-soluble particles show excitation-dependent photoluminescence ranging from blue to orange emission wavelength in solution. Interestingly, thin films display white light emission under 325 nm UV-light excitation, while aggregation-induced quenching is usually observed.
Hops Across Continents: Exploring How Terroir Transforms the Aromatic Profiles of Five Hop (Humulus lupulus) Varieties Grown in Their Countries of Origin and in Brazil
Authors: Herkenhoff Marcos Edgar , Brödel Oliver , Frohme Marcus
Published: September 2024

Humulus lupulus, or hops, is a vital ingredient in brewing, contributing bitterness, flavor, and aroma. The female plants produce strobiles rich in essential oils and acids, along with bioactive compounds like polyphenols, humulene, and myrcene, which offer health benefits. This study examined the aromatic profiles of five hop varieties grown in Brazil versus their countries of origin. Fifty grams of pelletized hops from each strain were collected and analyzed using HS-SPME/GC-MS to identify volatile compounds, followed by statistical analysis with PLS-DA and ANOVA. The study identified 330 volatile compounds and found significant aromatic differences among hops from different regions. For instance, H. Mittelfrüher grown in Brazil has a fruity and herbaceous profile, while the German-grown variety is more herbal and spicy. Similar variations were noted in Magnum, Nugget, Saaz, and Sorachi Ace varieties. The findings underscore the impact of terroir on hop aromatic profiles, with Brazilian-grown hops displaying distinct profiles compared to their counterparts from their countries of origin, including variations in aromatic notes and α-acid content.
VEIDEA; a Comprehensive Framework for Implementing BIM-Based Value Engineering within a Common Data Environment in Construction Projects
Authors: Abdelalim Ahmed Mohammed , Elhakeem Ahmed , Alnaser Aljawharah A. , Shibeika Amna , Elsayed Ahmed Mahmoud
Published: September 2024

The architecture, Engineering, and Construction (AEC) industry is dealing with serious challenges on a global scale, i.e., project delays, budget overruns, and insufficient stakeholder collaboration. In this context, Value Engineering (VE) and Building Information Modeling (BIM) have been used recently to address these challenges and cope with large-scale and complex construction projects. An extensive body of literature highlights significant advantages of integrated VE within BIM technology. Despite this, it is full practical potential has not yet been realized. For this reason, this paper aims to investigate the integration of Value Engineering (VE) and Building Information Modeling (BIM) within a Common Data Environment (CDE) for the Architecture, Engineering, and Construction (AEC) industry. In doing this research, a comprehensive framework was developed and systematically implemented into practice through the use of four interconnected modules: (M. 1); Creating CDE, (M. 2); Design BIM Model Development, (M. 3); Value Analysis / Engineering Model, and (M. 4); Value Engineering Study. Introducing a new term the ""VEIDEA"" databank based on the OmniClass classification system provides a structured database utilized to store, manage, and accumulate VE ideas. Moreover, the study incorporates the Analytical Hierarchy Process (AHP) to automate the evaluation phase. Such a framework seeks to assist designers and VE team members make informed decisions when choosing appropriate design alternatives. Lastly, a case study method was adopted to examine the proposed framework for an office building. Quantitative data showed a significant link between cost savings and VR integration with BIM technology. For instance, cost of the RC slabs dropped by 20%, while flooring materials cost dropped by a 39%. Empirically, evidence from the case study supports literature regarding t the potential for significant enhancements in both cost-effectiveness and overall project performance through this innovative integration. In the context of knowledge contribution, this study provides an innovative way to assist designers and VE team members in making well-informed decisions when choosing appropriate design alternatives.
Accounts Payable, Intellectual Capital, and Corporate Value: Case Study of Food and Beverage Sector on IDX 2016-2020
Authors: Wilujeng Sri , Widodo Heri
Published: September 2024

This quantitative study investigates the influence of account payable policy and intellectual capital on the value of companies within the food and beverages sub-sector listed on the Indonesia Stock Exchange. Purposive sampling was employed to select a sample of eight manufacturing companies for the period 2016-2020. Data were collected using documentation techniques and analyzed using SPSS. Results indicate that while the account payable policy significantly affects firm value, intellectual capital does not exhibit a significant impact. These findings shed light on the strategic importance of managing account payables for enhancing firm value in the food and beverages industry.
Highlights :

The study investigates the influence of account payable policy and intellectual capital on firm value in the food and beverages sector.
Purposive sampling was used to select a sample of eight manufacturing companies listed on the Indonesia Stock Exchange.
Findings reveal that while account payable policy significantly affects firm value, intellectual capital does not demonstrate a significant impact.

Keywords: Account Payable Policy, Intellectual Capital, Firm Value, Food and Beverages, Indonesia Stock Exchange
Physiological changes in shrub species due to different sources of dust pollution in an urban environment
Authors: Tian Yuan , Li haimei , Li Mingyan , Li Shimei , Guo Xiao
Published: September 2024

Plants effectively filter ambient air by adsorbing particulate matter. The correct selection of landscape plants can exert greater dust retention benefits in different polluted areas. However, few studies have focused on the dust retention ability and related physiological responses of plants under continuous dust pollution from different dust sources. Here, we assessed the particle retention dynamics and plant physiology( chlorophyll content, soluble protein content, soluble sugar content, and peroxidase activity) of six shrubs (Berberis thunbergii var. atropurpurea, Ligustrum vicaryi, Rosa multiflora, Sorbaria sorbifolia, Swida alba, and Syzyga oblata) under continuous dust pollution from different dust sources ( Industrial sources: area below the direction of the coal-fired thermal power plant in Chengyang District, Qingdao, China; Traffic sources: both sides of the road in each direction at the intersection of Great Wall Road and Zhengyang Road, Chengyang District, Qingdao, China; Clean sources: Qingdao Agricultural University Campus, Qingdao Olympic Sculpture Park). The results showed that R. multiflora had the highest dust retention per unit leaf area of 3.27 ± 0.018 g·m− 2 and 2.886 ± 0.02 g·m− 2 in the experimental treatments of fuel source dust and clean source dust, respectively. The chlorophyll content of the tested shrubs significantly decreased due to the influence of dust treatment time, the range of cellular osmoregulatory substances (soluble sugars, soluble proteins, proline) tended to first increase and then decrease, and the antioxidant enzyme activities (superoxide dismutase, peroxidase) tended to increase and then decrease after continuous dust treatment. The greatest physiological changes were observed in plants within the industrial dust treatment area. The peroxidase activity and chlorophyll could be used as sensitive indicators of dust pollution in plants. R. multiflora showed better resistance to dust and had a greater dust retention capacity than other shrubs, making it more suitable for planting as a greening tree in industrial and traffic-polluted areas. S. alba and S. sorbifolia are sensitive to dust pollution, so they can be used as sensitive tree species to indicate atmospheric dust pollution. Our results may help design a feasible approach for urban shrub greening.
The Impact of Rural Industry Integration on Rural Carbon Emissions from Provincial Data in China
Authors: Wang Xianning , Zhou Huiyan , Tian Longkun , Huang Xikai
Published: September 2024

This paper quantifies the impact of rural industrial integration(RII) on rural carbon emissions(RCE) in China's provinces. Firstly, collected literature to discover the intrinsic relationship between RII and RCE and selected five indicators based on the Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS) method to measure the level of RII.Secondly, based on the panel data of 30 provinces (autonomous regions and municipalities) in China from 2009 to 2022, uses the spatial Durbin model(SDM)to quantify the spatial benefits of RII and RCE.Thirdly, through empirical analysis, the main findings of this paper include: (1) The level of RII increases with the year, and the TOPSIS score is higher.(2) Use the spatial Durbin model to better explain the spatial relationship between RII and RCE. Among them, RII has a significant positive effect on local RCE, while the spillover benefit on rural carbon emissions in neighboring areas is not significant, showing a positive contribution to the total effect.（3）From the spatial level, explain the control variables of regional fiscal tax revenues(RTL), urban-rural income gap(RUP), rural population development scale(RP), education level(EL), and forest cover rate(FCR) on the significant role of RCE, reflecting the impact of regional differentiation, and introduce the lag term of spatial variables to improve the fit and explanatory ability of the model.（4）This paper provides robustness and Endogenous tests to improve the explainability of the model.Finally, based on the above findings, policy makers can propose optimized policies and safeguard measures from the aspects of industrial integration mechanism, green and low-carbon development path, agricultural science and technology support, and carbon trading of agricultural enterprises.
Hypoxic mesenchymal stem cell-derived exosomal circDennd2a regulates granulosa cell glycolysis by interacting with LDHA
Authors: Li Wenxin , Lu Minjun , Shang Junyu , Zhou Jiamin , Lin Li , Liu Yueqin , Zhao Dan , Zhu Xiaolan
Published: September 2024

Background
Premature ovarian insufficiency (POI) is an ovarian dysfunction disorder that significantly impacts female fertility. Ovarian granulosa cells (GCs) are crucial somatic components supporting oocyte development that rely on glycolysis for energy production, which is essential for follicular growth. Hypoxia-induced exosomal circRNAs regulate glycolysis, but their biological functions and molecular mechanisms in POI are largely unexplored. The present comprehensive investigation revealed a substantial reduction in ovarian glycolysis levels in POI rats. Notably, hypoxia-induced exosomes originating from mesenchymal stem cells (HM-Exs) exhibit a remarkable capacity to enhance ovarian glycolysis, mitigate GCs apoptosis, reinstate disrupted estrous cycles, modulate sex hormone levels, and curtail the presence of atretic follicles. These restorative actions collectively contribute to fostering fertility revival in POI-afflicted rats.
Methods
Cyclophosphamide was administered for 2 weeks to induce POI rat model, and POI rats were randomly divided into two groups and treated with NM-Exs and HM-Exs, respectively. Ovarian function and fertility were assessed at the end of the study and ovarian tissues were collected for analysis of energy metabolites. The relationship between circDennd2a and POI was explored in vitro by qRT-PCR, Western blotting, CCK-8 assay, EdU staining, TUNEL staining, extracellular acidification rate (ECAR) measurements, and ATP, lactate and pyruvate level assays.
Results
Our findings revealed depletion of circDennd2a in serum samples and GCs from individuals suffering from POI. The introduction of HM-Exs-derived circDennd2a (HM-Exs-circDennd2a) effectively counteracted GCs apoptosis by enhancing glycolytic processes and driving cellular proliferation. CircDennd2a interacted with lactate dehydrogenase A (LDHA), which served as a catalyst to increase LDHA enzymatic activity and facilitate the conversion of NADH to NAD+. This biochemical cascade worked synergistically to sustain glycolytic function within GCs.
Conclusion
This study revealed that HM-Exs-circDennd2a promoted LDHA activity and enhanced GCs glycolytic capacity, both of which support its use as a potential clinical diagnostic and therapeutic target for POI.
Multi-omics association study identifies new potential prostate cancer- causing gene
Authors: Wang Xinlong , Jiang Aimin , Shen Jiaming , Wang Lei , Liu Zhiyong
Published: September 2024

BACKGROUND
Prostate cancer is one of the most common malignant tumors among men worldwide, and surgery remains its mainstay of treatment. It is unclear how prostate cancer develops and what the most effective drug targets are for treating prostate cancer. Therefore, we sought to identify the genes responsible for the pathogenesis of prostate cancer.
METHODS
By integrating multidimensional and high-throughput data, proteome wide association studies (PWAS), transcriptome wide association studies (TWAS), single-cell sequencing, functional enrichment, Mendelian randomization (MR), and Bayesian co-localization analyses were used to screen for candidate genes that may contribute to prostate cancer and associate with clinical results of prostate cancer.
RESULTS
Our comprehensive analysis showed that protein abundance of eight genes was associated with prostate cancer, four of which were validated at the transcriptome level. These 8 candidate genes (MSMB, PLG, CHMP2B, ATF6B, EGF, TAPBP, GAS1 and MMP7) were validated. After combining single-cell sequencing, Mendelian randomization, and Bayesian co-localization analyses, we identified 1 gene (TAPBP) that is strongly associated with prostate cancer and explored the potential mechanisms of its pathogenicity and its clinical relevance.