bluuebunny/crossref_metadata_2025 huggingface dataset:
El origen del mar de plástico en los documentales institucionales del Ministerio de Agricultura
Authors: Garcia Saiz Loreto
Published: July 2024

En las representaciones audiovisuales de lo que hoy se denomina popularmente como «mar de plástico» se han manifestado históricamente diversas formas de mirar hacia lo rural desde el aparato cinematográfico. Esta investigación explora los documentales producidos por el Ministerio de Agricultura en el campo almeriense entre los años 1967 y 1976, primeras imágenes cinematográficas existentes sobre la transformación agrícola de esta zona. El artículo persigue tres objetivos: primero, contextualizar la producción institucional de documentales sobre la nueva agricultura almeriense en sus inicios desde una perspectiva historiográfica; segundo, revisar la información que se conserva sobre los documentales, contrastando los datos encontrados en los archivos para matizar los datos que hasta ahora se han publicado; finalmente, llevar a cabo un análisis fílmico de los documentales para comprender determinadas prácticas que se implementaban por parte del Ministerio y que hasta ahora no han sido estudiadas, como la producción de lo que he definido como «remakes institucionales». Este artículo persigue tres objetivos: primero, contextualizar la producción institucional de documentales sobre la nueva agricultura almeriense en sus inicios desde una perspectiva historiográfica; segundo, revisar la información que se conserva sobre los documentales, contrastando los datos encontrados en los archivos de Filmoteca Española y el Ministerio de Agricultura para matizar los datos que hasta ahora se han publicado; finalmente, llevar a cabo un análisis fílmico de los documentales para comprender determinadas prácticas que se implementaban por parte del Ministerio y que hasta ahora no han sido estudiadas, como la producción de lo que he definido como «remakes institucionales».
Prácticas videográficas colaborativas en la España despoblada. El caso del Laboratorio de Antropología Audiovisual Experimental (León)
Authors: Marín Ramos Rubén
Published: July 2024

Este artículo analiza el cine colaborativo de no ficción realizado por el Laboratorio de Antropología Audiovisual (LAAV_), espacio de investigación y creación desarrollado por Belén Sola (responsable del Departamento de Educación y Acción Cultural del MUSAC) y Chus Domínguez (creador audiovisual). El LAAV_ lleva a cabo proyectos en los que se involucran a los públicos y colectivos en procesos de creación audiovisual, desafiando las nociones de autoría y estimulando la autorrepresentación y la experimentación con las herramientas audiovisuales. En particular nos centraremos en tres de sus trabajos: Teleclub (desarrollado entre 2016 y 2017), Puta mina (2018) y Hostal España(2020), en los que de una forma más patente se tratan cuestiones relativas a la despoblación en el entorno rural. Para ello se ponen en relación conceptos como el de cine colaborativo y autoetnografía, confrontándose con la noción de documental canónico y con los procedimientos y jerarquías habituales en una producción cinematográfica.
Lo local, lo natural y lo figural en Pacifiction (Albert Serra, 2022) y Samsara (Lois Patiño, 2023)
Authors: Urbano Reyes Jesús
Published: July 2024

En la última década, un renovado interés por el mundo rural ha definido algunas de las propuestas más exitosas del cine español. Esta tendencia se ha denominado neorrural, y define a películas como Alcarràs (Carla Simón, 2022), As bestas (Rodrigo Sorogoyen, 2022) o 20.000 especies de abejas (Estibaliz Urresola Solaguren, 2023). Este artículo sintetiza algunas de las aproximaciones contemporáneas a lo rural y se centra en un tipo de estética que trata estos espacios desde una visión abstracta, a medio camino entre lo figural y lo contemplativo, entre el cine experimental y el movimiento internacional conocido como slow cinema. Una propuesta que va más allá del interés narrativo o sociológico por lo rural. Finalmente se analizan dos filmes fundamentales para comprender esta tendencia estética: Pacifiction(Albert Serra, 2022) y Samsara (Lois Patiño, 2023). Para el análisis se propone un estudio comparativo de ambos filmes dividido en tres bloques: el tratamiento de lo local, la manera de filmar la naturaleza y su experimentación con las formas visuales y sonoras.
Automating Bug Triage: Unleashing the Power of Machine Learning and Natural Language Processing
Authors: Kumari Neha , Ahmed Jawed , Raghuwanshi Kamlesh Kumar , Agarwal Parul
Published: July 2024

This paper explores the potential of automating bug triage
using machine learning and natural language processing. In the context
of growing software complexity, manual bug handling faces challenges
leading to delays. The study critically examines traditional bug triage
methods, emphasizing their limitations and the need for automated solutions.
By reviewing various machine learning techniques applied in bug
triage, the paper provides insights for practitioners. The proposed Bug
Triage model, integrating Word2Vec embeddings and XGBoost, shows
promising results in categorizing and prioritizing bug reports. The paper
concludes by highlighting future research opportunities to advance bug
triage methodologies and improve software development practices.
Precursory crater contraction associated with the 2017 eruption of Shinmoe-dake volcano (Japan) detected by PALSAR-2 and Sentinel-1 InSAR
Authors: Himematsu Yuji , Ozawa Taku , Aoki Yosuke
Published: July 2024

The time series of PALSAR-2 and Sentinel-1 images reveal inflation at the volcanic flank and contraction at the crater for approximately five months before the 2017 eruption of Shinmoe-dake volcano, Japan. While the observation of inflation at the volcano’s flank is ubiquitous, few studies have reported crater contraction at a crater preceding an eruption. The flank inflation stopped after the 2017 eruption, while the contraction at the crater continued until the 2018 eruption. We found that a pipe-shaped deformation source above sea level best fits the observation preceding the 2017 eruption. Suppose the flux of ejected materials constrains the conduit radius during the previous 2011 eruption. In that case, the amount of deformation of the pipe-shaped deformation source, whether open or closed at its top, is too large to be realistic. Although constraining the conduit radius from the eruption flux overestimates the pressure change of the pipe-shaped deformation source, water-saturated fractures along the volcanic conduit could extend the effective conduit radius of the pressure source. We propose one potential scenario for the mechanism of the crater contraction preceding volcanic eruptions based on the combination of compaction due to cooling by ambient groundwater and material withdrawal within the conduit. The groundwater inflows from the ambient aquifer through cracks in the porous conduit wall, which are generated by conduit expansion during the magma ascent. Decoupling from the conduit wall due to a decrease in volume of the material promotes material instability and crater contraction. The interaction between the groundwater and the magma triggers the 2017 eruption of Shinmoe-dake volcano, as previous studies have reported.
Respiratory Tract Pathogen Profiles of COVID-19 Pneumonia Patients and the Mortality Prediction
Authors: Liu Jiaxin , Liu Wenzhi , Fan Pengchao , Huang Rihong , Wen Yaolin , Gao Yiming , Li Ruihua , Gao Peng
Published: July 2024

Background
COVID-19 pneumonia is easily complicated with other respiratory pathogenic attacks, increasing the risk of death. Exploring the pathogen profiles of COVID-19 patients-related facilitated the clinical management and decisions to pursue better prognosis.
Methods
This study systematically compared the sputum culture results and death events of 170 non-COVID-19 and 197 COVID-19 patients. Statistical analysis was carried out to find the pathogen profile difference between the two populations. The death risk model was constructed for the infected COVID-19.
Results
It was found that co-infection with bacteria and fungi increased the mortality of COVID-19 pneumonia patients. The isolation rate of Acinetobacter baumannii in COVID-19 patients was significantly higher than that in non-COVID-19 patients and often showed multi-drug resistant phenotypes. The COVID-19 pneumonia patients showed a higher incidence of intensive care unit admission, ventilator-assisted ventilation and death with fungal infection. The serum levels of interleukin-1, interleukin-6, interleukin-8, TNF, lymphocytes, neutrophils and white blood cells in patients with COVID-19 pneumonia decreased. A death prediction model was constructed based on machine learning methods, achieving a prediction accuracy of 90.0%. The main factors affecting the survival rate of COVID-19 pneumonia patients co-infected with other pathogens were admission to the intensive care unit, days of hospital stay, ventilator-aided treatment, carbapenems administration, lymphocyte, serum aspartate aminotransferase level, Acinetobacter baumannii infection, and Candida infection.
Conclusions
This study provided necessary clinical indicators for timely and precise intervention of COVID-19 pneumonia patients when they were infected by other pathogens. The COVID-19-related secondary infection microorganisms were different compared with the pathogens isolated from non-COVID-19 patients.
Dentists’ knowledge, attitude and practice towards National Centralized dental implants Procurement policy in China: A cross-sectional study
Authors: Xiao Ting , Gong Lingling , Hou Yixuan , Jiang Weijuan , Feng Bo
Published: July 2024

Background
National centralized dental implants procurement (NCDIP) was a policy implemented by the Chinese government starting from September 2022, aimed at ensuring that the people receive high-quality, efficient, and affordable dental restoration services, and promoting the healthy and orderly development of the dental implant industry. The policy has been implemented for some time now, and a comprehensive investigation is needed to explore its specific effects. Our study aimed to comprehensively understand the knowledge, attitude, behavior(KAP) of dentists towards this policy, evaluate the implementation of the policy, explore the factors that affect KAP, and provide assistance for the improvement and implementation of future policies
Methods
We conducted a cross-sectional study from May to June in 2023 in China. Online questionnaire was to investigate the KAP of dentists towards NCDIP policy. Logistic regression analysis was used to identify factors that influence KAP.
Results
A total of 1049 dentists completed the questionnaires. 98.66% of dentists knew the policy of NCDIP, and 72.45% of them agreed that they were familiar with this policy. Female dentists had better knowledge towards this policy. At attitudes level, 74.17% dentists believed that the centralized procurement policy could have a significant impact on healthcare reform, 75.04% of dentists agreed that it is reasonable to implement this policy for dental implants to reduce the medical costs of dental implants,93.94% of dentists believing that the policy has reduced the economic burden of dental implants for patients with missing teeth. Dentists working in private hospital were more convinced of the impact of this policy. At the practice level, 63.63% of dentists will prioritize selecting centrally purchased implants for treatment, 90.93% of dentists will actively promote the national centralized procurement policy for dental implants to patients.96.96% of dentists will proactively understand the national centralized procurement policy for dental implants.83.55% of dentists and their families also will choose implants that are centrally procured by the country. Dentists with higher education levels have a higher willingness to choose centralized seed collection and dental implantation. Dentists working in private hospital More willing to proactively understand policies and promote them.
Conclusions
Overall, most dentists have a good knowledges, attitudes, and practices towards the NCDIP policy. At present, the implementation effect of the policy is good, but in public hospitals, the promotion and implementation of the policy still need to be strengthened
Identification of Potential Landslide in Jianzha Counctry Based on InSAR and Deep Learning
Authors: Yang Xianwu , Chen Dannuo , Dong Yihang , Xue Yamei , Qin Kexin
Published: July 2024

Landslide disasters have characteristics of frequent occurrence, widespread impact, and high destructiveness, posing serious threats to human lives, property, and the ecological environment. Timely and accurate early identification of landslides remains an urgent issue within the disaster prevention field. This study focuses on Jianzha County, Qinghai Province, integrating PS-InSAR、SBAS-InSAR and optical remote sensing techniques to delineate potential landslide-prone areas. Utilizing Google Earth imagery and existing landslide datasets, potential landslide points were identified through a deep learning model. The results indicate that: (1) In Jianzha County, the variation trend of the average surface velocity monitored by PS-InSAR and SBAS-InSAR technology is consistent, and the deformation monitoring results are reliable. (2) Utilizing the deep learning model, 56 potential landslide points were identified, comprising 39 high-risk points and 17 medium-risk points. By integrating the spatial distribution data of historical geological disaster points, it was found that 10 out of 13 previously occurred landslide disaster points were located at the identified high-risk landslide points, achieving a detection accuracy of 76.92%. (3) The spatial distribution of landslide points exhibits clustering, with slopes ranging from 10–40°, elevations between 15–30 m, and slope orientations predominantly towards the northeast. (4) Landslide formation is correlated with seasonal precipitation concentrations and temperature fluctuations. This method can provide a crucial basis for large-scale surface deformation monitoring and early identification of landslide risks.
Effective Hierarchical Data Association in Multi-Object Tracking Using an Enhanced Network Flow Framework
Authors: Zhang Junwen , Zhang Xiaolong , Zhu Ziqi , Deng Chunhua
Published: July 2024

In the realm of multi-object tracking, the SORT model is esteemed for its simplicity and efficiency, yet its tracking efficacy hinges significantly on detector performance. Randomly discarding low-threshold detections can result in critical misses and track fragmentation. Hence, it is often complemented by a hierarchical data association strategy centered on detection thresholds. Nonetheless, relying solely on threshold-based categorization may segregate detections and lead to redundant detections for the same target, thereby increasing the impact of redundancies on tracking and causing trajectory drift. To address this, this paper introduces a novel hierarchical data association framework based on network flow, integrating historical trajectory and domain information to efficiently group detections and redundancies. Additionally, an effective global topological structure graph is proposed to manage redundant detections. Experimental results demonstrate competitive performance on MOTChallenge, with a 1-2\% improvement in MOTA over the benchmark, particularly nearing 2% on MOT20.
Eruption and caries status of first permanent molars in children aged 6-7 years in Beijing, China
Authors: Zhao Mei , Wang Zhaoyou , Liu Min , Song Ziqi , Wang Rong , Yang Lina
Published: July 2024

Background Dental caries is still a major disease that affect the oral health of people in China. First permanent molars (FPMs) are the most caries-susceptible teeth among school-aged children. The aim of this study was to investigate the eruption and caries status of first permanent molars in children aged 6-7 years in Beijing, China, to provide information for oral health promotion.
Methods All 6-7-year-old first grade children from public elementary schools in Shijingshan District, Beijing were invited to receive a clinical oral examination. The eruption status and caries experience of FPMs were recorded. Questionnaires assessing children's sociodemographic information and oral health-related behaviors were completed by the children's parents or guardians.
Results A total of 3,176 children, including 1,644 boys (51.8%) and 1,532 girls (48.2%) were included in the oral examination and questionnaire. The eruption rate of FPMs was 65.8%. Within the emerged FPMs, 43.0% of FPMs were partially erupted with no caries and 37.8% of FPMs were fully erupted and sealable. The prevalence of dental caries was 5.5% on FPMs and the mean decayed missing and filled teeth score was 0.11 in the participants. Binary Logistic regression analysis demonstrated that girls had more tooth decay than boys and father’s educational background also associated with the caries experience of the studied children (P<0.05).
Conclusions Majority of FPMs were erupted in children aged 6-7 years in Beijing, China, and the prevalence of dental caries in these children was not negligible. Effective intervention should be applied in this age group for oral health promotion.
Peace, Equanimity and Acceptance in the Cancer Experience: Validation of the German version (PEACE-G) and associations with mental health, health-related quality of life and psychological constructs
Authors: Sauer Christina , Hansen Till , Prigerson Holly G. , Mack Jennifer W. , Bugaj Till J. , Weißflog Gregor
Published: July 2024

Purpose
Systematic reviews and meta-analyses reveal the importance of an accepting attitude towards cancer for mental health and functional coping. The aim of this study was to examine the psychometric properties of the German translation of the Peace, Equanimity, and Acceptance in the Cancer Experience (PEACE) questionnaire (Mack et al., 2008) and to investigate its associations with mental health, health-related quality of life (HRQoL) and related constructs.
Methods
The German version of the PEACE (PEACE-G) was created and validated with cancer patients in a cross-sectional two center questionnaire study. Construct validity was tested with confirmational factor analyses (CFA); Cronbach’s alpha was used to determine internal consistency of items. We further examined associations with depression (PHQ-8), anxiety (GAD-7), distress (NCCN distress thermometer), HRQoL (SF-12), psychological flexibility (AAQ-II), resilience (RS-11) and acceptance scales, to evaluate concurrent and divergent validity.
Results
N = 213 cancer patients with different tumor entities participated in this study. Results of the CFA replicated the two-factor solution of the original PEACE (peaceful acceptance and struggle with illness) with satisfactory psychometric properties. Peaceful acceptance showed negative associations with depression, anxiety, distress, psychological inflexibility, and positive associations with HRQoL, acceptance, resilience, and mindfulness. Results of sensitivity analyses indicate a third factor (injustice/anger).
Conclusion
The results demonstrate the validity and reliability of PEACE-G in cancer patients and point to the essential role of acceptance- and mindfulness-based interventions in psycho-oncology. Further studies are needed to investigate the different facets of struggle with the cancer illness.
Proteome-wide association study identifies novel Alzheimer's disease- associated proteins
Authors: Sun Lingyun , Wei Guikang , Ji Feiyang , Ding Yihong , Fan Jiayao , Xu Yue , He Chunfeng , Zhou Yuan , Liu Zuyun , Sun Zeyu , Zhou Dan
Published: July 2024

Background
Alzheimer's disease (AD) is a progressive neurodegenerative disease, with a critical shortage of effective prevention and treatment options. Here, we aimed to identify proteins whose genetically regulated plasma levels were associated with AD and its related phenotypes.
Methods
An integrative proteome-wide search using Olink-based plasma proteomes (N = 45,540) from the UK Biobank Pharma Proteomics Project (UKB-PPP) and a large-scale genome-wide association study (GWAS) for AD (N case = 111,326, N control = 677,663) was employed to identify AD-associated proteins. Cohort studies for AD or mild cognitive disorder (MCD) with average follow-ups of 13.7 years, alongside cross-sectional studies for the volume of whole hippocampus (WH) and white matter hyperintensities (WMH) were performed to provide additional supports.
Results
We identified 30 AD-associated proteins through a genetic-informed proteome-wide association study (PWAS). Among these, 14 proteins (including TREM2 and GRN) have been previously reported to be associated with AD. No clear evidence has linked the remaining 16 proteins (including PILRB, FES, and HDGF) with AD. PILRB and FES were further supported by cohort studies for AD and/or MCD. A higher plasma abundance of HDGF was found to be associated with a lower volume of whole-hippocampus and an increased risk of AD, consistent with a previous study which showed a potentially risk role of HDGF for AD in both brain tissues and cerebrospinal fluid. The protein-protein interaction analysis linked PILRB with ABCA7, an AD-related protein involved in the immune system.
Conclusions
The integrative genetic-informed proteome-wide scan provides promising AD-associated proteins for further mechanistic studies.
The challenges of evidence-based prehabilitation in a real-life context for patients preparing for colorectal surgery – a cohort study and multiple case analysis
Authors: Talen A.D. (Daniëlle) , Meeteren N.L.U. (Nico) Van , Barten J.A. (Di-Janne) , Pereboom I. (Ilona) , Krijnen W.P. (Wim) , Jager-Wittenaar H. (Harriët) , Bongers B.C. (Bart) , Sluis G. (Geert) Van Der
Published: July 2024

Background
Multimodal prehabilitation programs are effective in reducing complications after colorectal surgery in patients with a high risk of postoperative complications due to low aerobic capacity and/or malnutrition. However, high implementation fidelity is needed to achieve these effects in real-life practice. This study aimed to investigate the implementation fidelity of an evidence-based prehabilitation program in the real-life context of a Dutch regional hospital.
Methods
In this observational cohort study with multiple case analysis, all patients who underwent colorectal surgery from January 2023 to June 2023 were enrolled. Patients meeting criteria for low aerobic capacity or malnutrition were advised to participate in a prehabilitation program. According to recent scientific insights and the local care context, this program consisted of four exercise- and three nutrition modalities. Implementation fidelity was investigated by evaluating: 1) coverage (participation rate), 2) duration (number of days between start prehabilitation and surgery), 3) content (delivery of prescribed intervention modalities), and 4) frequency (attendance of sessions and compliance with prescribed parameters). An aggregated percentage of content and frequency was calculated to determine overall adherence.
Results
58 patients intended to follow the prehabilitation care pathway, of which 41 performed a preoperative risk assessment (coverage 80%). Ten patients (24%) were identified as high-risk and participated in the prehabilitation program (duration of 33–84 days). Adherence was high (84–100%) in five and moderate (72–73%) in two patients. Adherence was remarkably low (25%, 53%, 54%) in three patients who struggled executing the prehabilitation program due to multiple physical and cognitive impairments.
Conclusion
Implementation fidelity of an evidence-based multimodal prehabilitation program for high-risk patients preparing for colorectal surgery in real-life practice was moderate because adherence was high for most patients, but low for some patients. Patients with low adherence had multiple impairments, with consequences for their preparation for surgery. For healthcare professionals, it is recommended to pay attention to high-risk patients with multiple impairments and further personalize the prehabilitation program. More knowledge about identifying and treating high-risk patients is needed to provide evidence-based recommendations and to obtain higher effectiveness.
Trial registration
NCT06438484
Effect of Pulsed Laser Performance of ZnO / Ge / Si Photodetector Prepared by Multi methods
Authors: Fahad Othman Abed , Al-Rawi Bilal K. , Ramizy Asmiet
Published: July 2024

Triple-layer heterostructure of ZnO/Ge/Si was considered for establishing photodetector devices by utilizing thermal evaporation and pulse laser deposition. The structural and optical properties were obtained using XRD, SEM, Raman spectroscopic and UV–visible spectroscopy. the XRD showed patterns of the Ge layer a closed-oriented crystalline structure and results showed that zinc oxide is polycrystalline in nature, with a cubic crystalline phase. The Raman spectroscopic investigation of Ge film the figure shows three separate peaks, In particulars are corresponded to Ge phase, E(TO + LO), A1(TO), E(TO)respectively and the Raman spectra of ZnO films showed E (LO), A (TO), E (LO) + TO, and B1 vibration modes. The optical bandgaps of Ge and ZnO nanostructures were found to be 2.8 for Ge and 3.3, 3.2, and 3.1 eV for ZNO thin film as laser pulses of 400,500,600 pulses respectively. The current–voltage characteristics of the ZnO/Ge/Si heterojunction deposited over 400, 500, and 600 pulses were examined in dark and illumination conduction .The heterojunctions showed rectifying characteristics, with 600 pulses demonstrating the best rectification factor. Using more pulse lasers improved the photodetector performance and the figure of merit. When the deposition pulse was increased from 400 pulses to 600 pulses, the responsivity increased from 8.867 A/W to 13.229 A/W. When the photodetector was produced at the ideal pulse count of 600 pulses, the detectivity (D*) and external quantum efficiency (EQE) were 5.77E + 17 Jones and 40.505%, respectively, at 405 nm.
Lipids, lipid-lowering drug target genes and pancreatic cancer: a Mendelian randomization study
Authors: Zhan Yuxuan , Zhang Kai , Fan Yiqun , Lin Siyi , Du Bang , Wu Jian , Xu Hongxia
Published: July 2024

Background
Pancreatic cancer (PC) is a malignant tumor with a low survival rate. Lipid modifiers show potential for PC therapy, but evidence is lacking. This Mendelian Randomization (MR) study aimed to explore the relationship between lipid traits, and lipid-lowering drug target genes with PC risk.
Methods
We used genetic instrumental variables associated with lipid traits and lipid-lowering drug target genes to conduct MR analyses with PC risk. MR estimation utilized genome-wide association study (GWAS) data from two substantial sample sets, which were meta-analyzed to evaluate their influence on PC risk. To confirm the reliability of lipid modification drug targets, a Summary Data-based Mendelian Randomization (SMR) analysis was conducted. Additionally, a two-step MR (TSMR) analysis was implemented to investigate potential mediating roles.
Result
In the Discovery Dataset, HMGCR inhibition was statistically associated with a lower risk of PC (OR = 0.46, [95% CI, 0.22–0.97]; p = 0.0404), and did not show statistical significance in the Replication Dataset, but the result of the meta-analysis reached statistical significance (OR = 0.50, [95% CI, 0.25-1.00]; p = 0.0453). The SMR analysis enhanced the robustness of the results (OR = 0.51, [95% CI, 0.28–0.96]; p = 0.0369). Furthermore, mediation analysis revealed that lowering BMI levels mediated the protective effect of HMGCR inhibitors on PC (mediation effect: OR = 0.91, [95% CI,0.84–0.97], mediation proportion:11.69%, [95% CI, 10.04%-13.61%]).
Conclusions
This study found that HMGCR inhibitors were significantly associated with the risk of PC, suggesting that HMGCR has the potential to be a candidate drug target for the treatment or prevention of PC.
Energy Harvesting using Stochastic Network Calculus for Monitoring Underwater Tunnelling Applications
Authors: Vignesh S R , Sukumaran Rajeev
Published: July 2024

The implementation of Underwater Wireless Sensor Networks (UWSNs) for applications in oceanographic environment monitoring, marine biology and ecology, and underwater infrastructure monitoring requires frequent battery replacements due to the limited energy capacity of sensor nodes. Underwater Energy Harvesting (UEH) offers a promising solution to extend sensor node lifetimes and reduce maintenance costs. Among various techniques, piezoelectricity emerges as a particularly efficient method for UEH. This research proposes a novel approach to improve energy harvesting for underwater infrastructure monitoring, specifically for underwater tunnelling applications. By implementing piezoelectric wave energy and a Stochastic Network Calculus (SNC) mathematical model, the proposed method aims to simulate Efficient Energy Harvesting (EEH) to enhance sensor node performance parameters. This includes maximising the Energy Harvesting Rate (EHR), Delivery Probability Ratio (DPR), and overall Network Throughput (NT). This research contributes to the advancement of sustainable UWSNs by enabling efficient energy management and prolonging sensor node operation.
TNBC-Specific UGDH-AS1+ NK Cells Encode NSKM, Promoting Cancer Progression by Inhibiting NK Cells Activity
Authors: zhou yifeng , Zhang Zheng , Li Fanrong , Zhang Shenghua , Wang Yirong , Deng Jieqiong , Guo Binbin , Dai Xiaoxiao , Liu Wei , Pan Yacheng , Zhao Tong , Wang Shuang , Li Wanqiu , Jin Congnan , Zhang Hebin
Published: July 2024

Deactivation of immune cells is a major characteristic in various malignant tumors, including breast cancer, a complex and malignant cancer. Here, using single-cell RNA sequencing, we identified UGDH-AS1+ NK cells specific to the triple-negative breast cancer(TNBC) subtype, which encode the micropeptide NKSM promoting cancer progression by inhibiting NK cell activity. NKSM was upregulated in UGDH-AS1+ NK cells and associated with TNBC-infiltrating (TINK) NK cells antitumor activity. Conditional NKSM knock-in into NK cells of mice resulted in NK cell deactivation and increased tumor growth. Targeted NKSM therapy effectively reduced tumor growth in TNBC mouse models. We found that UGDH-AS1+ NK cells are shaped by the tumor microenvironment (TME). Upregulated by the TGF-β signaling pathway, NKSM could bind to proto-oncogene c-Myc, inhibiting ERK1/2-mediated Ser62 phosphorylation and reducing its stability, thereby modulating the transcription of T-bet, a key protein involved in NK cell function, and leading to NK cell deactivation. TGF-β signaling pathway convert TINK cells into UGDH-AS1+ NK cells and targeting the expression of NKSM restrain cancer progression in TNBC.
Towards Data Science in Agriculture with Big Data Management
Authors: Gandhi Purnima
Published: July 2024

The agriculture data is multivariate, impulsive, and complex; this data must be analyzed and interpreted accurately to address the challenges related to agro-advisory systems, recommendation systems, smart agriculture, information systems, etc. The complex characteristics of agriculture data have made data management more crucial and challenging. Big data management is a very important task to perform to develop data science applications. Data science in the agriculture domain aids in disseminating valuable information to the end users in consumable formats.
The goal of big data management is to offer batch, interactive, and iterative computations on a wide range of data problems with low latency and high efficiency. Implementation of data repositories can be a transformative solution not only in terms of data management but also in terms of the business process. The paper proposes an architecture for developing a big data repository for the agriculture domain as a rudimentary step in developing data science applications. The architecture is built and implemented using two levels of data abstraction. As a proof of concept, data are depicted using the web-based REST interface and dashboard. Data science applications such as weather, land usage, market price analytics, and crop price prediction are developed using collected data, as a proof of concept.
Open Educational Practices (OEP) im (Hochschul-)Bildungsbereich im Wandel – und ihr Beitrag zu Gerechtigkeit, Partizipation und einer Kultur des Teilens in der (Post-)Digitalität
Authors: Mayrberger Kerstin
Published: July 2024

Der Artikel befasst sich mit Open Educational Practices (OEP) in der Hochschulbildung, sein Schwerpunkt liegt auf Partizipation und Bildungsgerechtigkeit im Kontext einer Kultur des Teilens. OEP im engeren Sinne umfassen sowohl den Zugang zu offenen und freien Bildungsressourcen (OER) als auch im weiteren Sinne die Ermöglichung partizipativer, kollaborativer und inklusiver Lehr- und Lernprozesse einschliesslich ihrer organisatorischen und strukturellen Kontexte. Der Artikel diskutiert die Bedeutung von OEP mit besonderem Fokus auf Ungleichheit, soziale Gerechtigkeit und Partizipation im Bildungsbereich und betont die Notwendigkeit einer kritischen Reflexion über die Realisierung und die Auswirkungen einer OEP, insbesondere in Bezug auf die ökonomischen, kulturellen und politischen Dimensionen sozialer Gerechtigkeit. Der Beitrag unterstreicht die Bedeutung von OEP einschliesslich OER in ihrer gesamten Dimensionierung für eine zukunftsfähige Hochschulbildung.
The relationship between intellectual capital efficiency and firms’ dividend policy: Do CEO characteristics matter?
Authors: Odat Mahmoud , Bsoul Ruba
Published: July 2024

The financial challenges facing the Jordanian economy require careful attention and strategic responses. Addressing these challenges may necessitate increased investment. This study explores the relationship between intellectual capital efficiency and firms’ dividend policies and the potential impact of CEO characteristics on this relationship. An analysis was based on data from 90 Jordanian service and manufacturing companies from 2015 to 2019. The study employs the value-added intellectual capital coefficient (VAIC) to measure intellectual capital efficiency and uses the dividend payout ratio to represent dividend policy. The findings indicate a positive relationship between VAIC and dividend policy, suggesting that companies with higher intellectual capital efficiency tend to distribute higher dividends. However, CEO characteristics, such as age, tenure, and educational background, do not significantly affect this relationship. These results imply that strong corporate governance mechanisms are likely in place, ensuring effective decision-making processes and protecting stakeholders’ interests. By focusing on intellectual capital, firms can enhance their operational performance and attractiveness to investors, indirectly supporting economic stability.
Development and application of a hybrid artificial neural network model for simulating future stream flows in catchments with limited in situ observed data
Authors: Mugume Seith N. , Murungi James , Nyenje Philip M. , Sempewo Jotham Ivan , Okedi John , Sörensen Johanna
Published: July 2024

The need to develop new and computationally efficient artificial intelligence models that accurately simulate river flows in data-scarce regions, considering not only current but also projected future climate change conditions is vital. In this study, a hybrid artificial neural network (ANN) model that combines HEC-HMS and the feed-forward neural network (FFNN) was developed in the Python programming language and applied to simulate future stream flows in the River Mayanja catchment in Central Uganda. The study results suggest that the performance of the validated hybrid HEC-HMS-ANN model during calibration and validation (NSE and R2 > 0.99) was more superior to the corresponding performance obtained using individual HEC-HMS (NSE and R2 > 0.50), MIKE HYDRO (NSE and R2 > 0.42), and ANN models (NSE and R2 > 0.56). Using the developed hybrid ANN model, future average daily stream flows are projected to increase by up to 17.3% [2.2–39.5%] and 18.5% [0.8–42.7%] considering the SSP2-4.5 and SSP5-8.5 future climate change scenarios. The study demonstrates that well-trained hybrid ANN models could provide more computationally efficient models for the simulation of future stream flow and for undertaking water resource assessments in catchments with limited in situ observed data.
Effects of climate change and land use on the hydrologic regime using the Hydro-BID tool: A case study of the Andean mountain basin in Colombia
Authors: Darwin Mena , Peña-Guzmán Carlos , Rodriguez Manuel
Published: July 2024

Changes on the land surface generate changes in land cover, which directly affect the availability of water in watersheds. This article evaluates the case study regarding the effects on the hydrological regime of the Andean mountain basin on the Coello river basin in Colombia due to changes in land use/land cover during the 2000–2019 period by the use of the Hydro-BID tool. The physical analysis of the land surface included the processing of Landsat 7 ETM and Landsat 8 OLI satellite images for the years 2001, 2003, 2015, and 2019. Seven types of coverage were determined based on these data using the Mixed Gaussian Method. The changes between each year were evaluated, after which the land use/land cover change for the year 2050 was predicted using a Markov chain. The multi-temporal analysis showed a decrease in forested areas during the studied period, while low vegetation significantly increased within the watershed. This trend was shown to continue in the future scenario for the year 2050, with an increase in flow on the watershed of 59.6%. Additionally, the climate change scenarios were modeled with the changes in land use. The combined effects established a progressive decrease in the modal flow.
Comparison of CMIP5 and CMIP6 models for temperature and precipitation simulation over the Yarlung Tsangpo-Brahmaputra River Basin
Authors: Chen Linyan , Ji Xuan , Xu Zhangchao , Qin Peng , Yang Chuanjian , Yan Siyi , Sun Cezong , Zheng Yangfan , Zhang Yuanping
Published: July 2024

This study compares simulations from 13 CMIP5 and CMIP6 homologous models and their multi-model ensemble (MME) based on the generalized three-cornered hat method (TCH) for temperature and precipitation over the Yarlung Tsangpo-Brahmaputra River Basin (YBRB). The results showed that: (1) the MME estimations outperform the most single model, demonstrating the effectiveness of TCH in reducing model uncertainty. (2) CMIP5 and CMIP6 are more applicable for spring and autumn maximum temperatures (Tasmax), minimum temperatures (Tasmin) and precipitation in YBRB. Moreover, they showed better performance for precipitation on floodplain, for Tasmax on Tibetan Plateau, and for Tasmin in whole YBRB. (3) Relatively, CMIP5 and CMIP6 can better simulate the spatial distribution of temperature rather than precipitation (the Temporal Correlation Coefficient of Tasmax and Tasmin: 0.72 – 0.89; that of precipitation: 0.43–0.6). (4) The bias of CMIP6 for temperature and precipitation in YBRB is mostly lower than CMIP5, but still has a cold bias over YBRB (Tasmax: −7.98 °C to −14.88 °C, Tasmin: −6.24 °C to −21.45 °C) and wet bias for precipitation on Tibetan Plateau (0.56 mm − 2.00 mm), dry bias on Himalayan belt (−0.69 mm to −7.56 mm) and floodplain (−0.46 mm to −6.98 mm).
3D criteria to improve real-time pressure control in water distribution network system architecture
Authors: Mohammadzade Negharchi Saeid , Shafaghat Rouzbeh
Published: July 2024

Real-time control (RTC) methods have been developed for over one decade to regulate service pressure and reduce leakage using pressure control valves in water distribution networks (WDN). The present study investigates control node selection frameworks and RTC system architecture for the field-oriented control of a rural WDN. The unique topology of the case-study area, the small size of the area, and high-pressure variety increased the considerations of the RTC system. A computer code was developed based on the method of characteristics for the hydraulic simulation of the network. The code could analyze unsteady flows through sloped pipes, implement pressure-based analysis, and regulate control valves based on the target node. Leakage reduction, pressure fluctuation reduction, and cavitation prevention were used as three criteria and constraints in the selection of control nodes. It was found that the optimal strategy would reduce the real water loss from 25 to 10%. Furthermore, key parameters in remote sensing were evaluated to minimize the number of sensors in order to further simplify the control algorithm and RTC system architecture through an artificial neural network (ANN) approach. The control function with a convergence rate of 99% was introduced.
Hotspot analysis for integrated multi-infrastructure asset management
Authors: Daulat Shamsuddin , Roghani Bardia , Rokstad Marius Møller , Tscheikner-Gratl Franz
Published: July 2024

Urban infrastructure, important for societal functioning, faces challenges from aging assets and increasing service demands. Traditional asset management practices, often conducted in silos, fail to address the interconnected nature of these systems, leading to inefficiencies and heightened system failure risks. This article combines the spatial and temporal aspects of sewer, water, and road networks to facilitate integrated interventions and enable informed decision-making among diverse stakeholders. The outcome of this research is the creation of interactive hotspot maps on a unified platform, highlighting potential areas for integrated intervention across different infrastructures. To enhance the potential for collaboration in integrated interventions, flexibility in intervention planning was incorporated. With increased flexibility in intervention decisions, the potential for collaboration also increased. For the case study, introducing a 5-year intervention flexibility increased the number of collaborative projects between sewer, water, and roads from 0 to 18. The maps can also indicate areas where the application of trenchless technologies are justifiable. Other important information on asset characteristics for the decision-makers, including age, inspection, deterioration, and other relevant spatial and temporal details can also be obtained from the maps. The presented methodology and findings provide practical solution for utilities to manage urban infrastructure networks more efficiently.
Soft sensor for the dry solid content in thickened primary sludge
Authors: Molin Hanna , Bröndum Eric , Nilsson Sara , Mattson Per , Saagi Ramesh , Lindblom Erik , Carlsson Bengt , Jeppsson Ulf
Published: July 2024

Software sensors, or soft sensors, can be a feasible option to monitor parameters that are difficult (or impossible) to measure with hardware sensors. At Henriksdal water resource recovery facility (WRRF), the operators have long experienced issues with a clogging sensor for the dry solids (DS) content in thickened primary sludge. A soft sensor was developed, and in the process, two methods were compared: long short-term memory (LSTM) network, and linear regression. The first is a recurrent neural network that can capture non-linear dynamics, whereas the latter is a linear static model. The LSTM network was the best at predicting the DS content, with a mean squared error (MSE) of 0.341 with respect to laboratory data. The linear regression model performed worse than estimating a long-time average of daily manual samples but outperformed the online sensor. Replacing the existing sensor with the developed soft sensor can open possibilities to more efficient control and operation of the thickener unit.
The Association between Serum Follistatin-like Proteins and Cardiovascular
Diseases: A Systematic Review and Meta-analysis
Authors: Ahmadzadeh Amir Mahmoud , Khodashahi Rozita , Shabestari Mahmoud Mohamadzadeh , Aliakbarian Mohsen , Sahebkar Amirhossein , Arjmand Mohammad-Hassan
Published: July 2024

Background:

Follistatin-like proteins (FSTLs) are adipomyokines secreted by adipocytes and myocytes. Previous studies have reported an increase in circulating FSTL1 levels in
response to cardiovascular injuries. In this study, we conducted a systematic review and metaanalysis to assess the association between circulating FSTLs and Cardiovascular Diseases
(CVDs).

Methods:

We performed a comprehensive literature search using PubMed, Web of Science,
Scopus, and Embase databases. After screening the articles, we selected eligible studies, extracted relevant data, and calculated the pooled Standardized Mean Difference (SMD). We also conducted a sensitivity analysis to identify sources of heterogeneity and assessed publication bias.

Results:

Among the 577 articles initially retrieved, we included 5 studies comprising a total of
941 cases with CVDs and 446 controls. All included studies measured FSTL1 levels. The
pooled SMD analysis revealed a significant difference in circulating FSTL1 levels between subjects with CVDs and control groups (SMD = 0.853, 95% CI = 0.158-1.548, P = 0.016). Heterogeneity was primarily attributed to a single study that measured FSTL1 levels in heart failure patients with preserved ejection fraction. No publication bias was observed.

Conclusion:

Our findings demonstrate significantly higher levels of FSTL1 in patients with
CVD compared to control subjects. This suggests that FSTL1 may have potential as a diagnostic
and prognostic biomarker in CVDs. However, further well-designed studies are needed to validate its clinical utility.
The effect of shadow training using a racket and shadow training using a shuttlecock on the agility improvement of athletes in badminton
Authors: Zaidan Agil Gusti , Pitriani Pipit , Tafaqur Muhamad
Published: July 2024

Agility is the ability to move to change direction quickly without losing balance. This study aims to determine the ef ect of shadow training methods using rackets and shadow training using shuttle cock on increasing the agility of UPI Badminton UKM athletes. The method used in this research is an experimental method using A Group Pre-test and Post-Test Design. The population in this study were all UPI badminton UKM athletes totaling 32 people, the sample used a purposive sampling technique of as many as 12 people. The data collection technique was carried out by giving an initial test to 2 groups. Then given treatment with the shadow training method using a shuttle cock and shadow training using a racket, then given a final test using the shadow 2 return test. Data processing techniques were carried out with descriptive statistical analysis and paired t-tests. Both shadow training methods influence increasing agility, but the shadow training method using shuttle cock has a more significant influence. So it can be concluded that the shadow training method using shuttle cock has a more significant ef ect on increasing the agility of UPI Badminton UKM athletes.
Correlation between the physical activities and the percentage of body fat of the members of fitness center
Authors: Miftachurochmah Yulvia , Budiarti Ratna , Arjuna Fatkurahman , Pamungkas Gallant
Published: July 2024

Today, a change in lifestyle from active to inactive has begun to occur, especially in the lifestyle of modern society. This research was a correlational study with survey research methods or self-reported questionnaires. The research population was for about 60 members of HSC Fitness Center, Yogyakarta State University taken by a random sampling technique. Meanwhile, the research instrument used to measure the level of physical activity was the Global Physical Activity Questionnaire (GPAQ) developed by the World Health Organization and the percentage of body fat was measured by using the Body Impedance Analysis (BIA) tool. Furthermore, the data analysis was performed by using the Pearson Product Correlation test. The results show that there is a correlation with a significant negative direction on the level of physical activity and body fat percentage of the members of HSC Fitness Center, Yogyakarta State University with a Pearson Product Correlation coefficient of -0.760, and with a significance value of 0.00 0.05. Through this research, the research results obtained can be used as information for the wider community, especially those with the excessive body fat percentages so that they pay more attention to their daily physical activities and so they can achieve a healthy body fat percentage.