bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluating Numerical Weather Prediction Models in the Middle Atmosphere Using Coherent Oceanic Acoustic Noise Observations
Authors: Letournel P. , Listowski C. , Bocquet M. , Le Pichon A. , Farchi A.
Published: December 2024

We develop a method to assess numerical weather prediction (NWP) model performances from the mid‐stratosphere to the mesosphere‐lower thermosphere (30–120 km), through comparisons between observed and simulated amplitude of oceanic infrasound known as microbaroms. We adapt a recently published array processing algorithm, the multichannel maximum‐likelihood (MCML), to the 360‐observations of microbaroms. We simulate infrasound propagation using a source model and atmospheric specifications prescribed by NWP models. As this study paves the way for the assimilation of microbarom observations in these models, we assess the different components of our method. The sensitivity of the NWP model assessments to the acoustic propagation is investigated. We demonstrate the limitations of a parametrized attenuation solely driven by atmospheric fields at the infrasound station (a method previously used due to its computational efficiency) by comparing it with an explicit simulation retaining the whole 3D atmospheric fields. Importantly, in the microbarom simulations, we account for the array response to allow one‐to‐one comparisons with observations. We also highlight an observed intermittent semi‐diurnal periodicity, whose occurrence depends on middle‐atmospheric conditions, pointing at arrivals from the mesosphere and lower thermosphere. Hence, its variability needs to be accounted for in the simulations. We use a circular optimal transport metric to quantify differences between simulated and observed microbarom azimuthal distributions in a systematic way. We present NWP models relative performances diagnostics over periods of interest, including a sudden stratospheric warming in January 2021. We discuss how our approach provides insights into the model performances in the middle atmosphere.
New 40Ar/39Ar Dating and Paleomagnetism of the Pana Formation Rocks From the Linzhou Basin, Lhasa Block: Implications for the India‐Asia Collision
Authors: Wang Zihao , Tan Xiaodong , Li Shuai , Li Yalin , Xiao Siqi , Guo Zichun , Zhang Jian , Han Yulin , Cai Jianxin , Xu Yunchuan , Sun Jianping
Published: December 2024

The India‐Asia collision onset and cessation of the Neo‐Tethyan oceanic subduction are pivotal for understanding the collision processes, Tibetan Plateau uplift and global climate change, yet they remain hotly debated. The mostly cited ∼60–50 Ma initial collision age would require a ca. 20 Ma delay of the orogenic responses in Asia. Besides, the majority of the Cretaceous and Paleogene paleomagnetic data from the Lhasa Block (LB) indicates a “Greater” and “Quiescent” Asia prior to the India‐Asia collision, conflicting with the widely observed latest Cretaceous intense deformation within the block. To address these paradoxes, we present new paleomagnetic results on the Pana Formation volcanic rocks from the Linzhou basin, southern LB, with 40Ar/39Ar dating results indicating emplacement around ∼53 Ma. Combined with previous paleomagnetic results, the updated mean ChRM direction indicates the LB at 31.4°N (28.9–33.9°N) in the early Eocene. This indicates a minimal amount of crustal shortening (1.2 ± 3.8° or 0.9 ± 3.8°) in the northern Plateau since the early Eocene, and a substantial N‐S distance of 1,880 ± 420 km between the Indian and Asian leading margins at that time. Reassessed paleomagnetic data from LB, in conjunction with current knowledge on the original size of Greater India, fit well with a two‐stage collision model. This model suggests a ∼55 Ma collision between India and an intra‐oceanic arc, followed by a ∼34 Ma final collision between India and Asia, aligning well with the collision‐related responses in the plateau.
Understanding and addressing mental health challenges of families admitted to the neonatal intensive care unit
Authors: Osborne Ashley D. , Yasova Barbeau Daphna , Gladdis Tiffany , Hansen Kara , Branche Tonia , Miller Emily R. , Pazandak Christine C. , Hoge Margaret K. , Spencer Michelle , Montoya-Williams Diana , Barbeau Ryan , Padratzik Heather , Lassen Stephen
Published: December 2024

This article reviews the psychological distress experienced by NICU families, including anxiety, postpartum depression (PPD), and post-traumatic stress disorder (PTSD), in addition to providing recommendations for clinicians at the individual, institutional, and national level. Currently, mental health screenings, specialized evaluations, and treatment options are not routinely offered to NICU families and are frequently under-utilized when offered. Here we provide expert opinion recommendations to address challenges in supporting universal screening, offering bedside interventions, including trained mental health professionals in care plans, updating neonatology training competencies, and advocating for policies that support the mental health of NICU families. We advocate that mental health of NICU families be incorporated into the standard of care.
KDM1A epigenetically enhances RAD51 expression to suppress the STING-associated anti-tumor immunity in esophageal squamous cell carcinoma
Authors: Yang Qingyuan , Wei Shiyin , Qiu Cen , Han Chenjie , Du Zunguo , Wu Ning
Published: December 2024

Histone lysine demethylase LSD1, also known as KDM1A, has been found to regulate multiple cancer hallmarks since it was first identified in 2004. Recently, it has emerged as a promising target for stimulating anti-tumor immunity, specifically boosting T cell activity. However, it remains unclear whether and how it remodels the tumor microenvironment to drive oncogenic processes in esophageal squamous cell carcinoma (ESCC). In this study, protein levels in ESCC tissues were evaluated by immunostaining of tissue microarrays. Cell growth was assessed by colony formation assays in vitro and subcutaneous xenograft models in vivo. High-throughput transcriptomics and spatial immune proteomics were performed using bulk RNA sequencing and digital spatial profiling techniques, respectively. Epigenetic regulation of RAD51 by methylated histone proteins was analyzed using chromatin immunoprecipitated quantitative PCR assays. Finally, our clinical data indicate that KDM1A precisely predicts the overall survival of patients with early-stage ESCC. Inhibition of KDM1A blocked the growth of ESCC cells in vitro and in vivo. Mechanistically, our transcriptomics and spatial immune proteomics data, together with rescue assays, demonstrated that KDM1A specifically removes methyl residues from the histone protein H3K9me2, a transcription repressive marker, thus reducing its enrichment at the promoter of RAD51 to epigenetically reactivate its transcription. Additionally, it significantly inhibits the expression of NF-κB signaling-dependent proinflammatory genes IL-6 and IL-1B through RAD51, thus blocking the STING-associated anti-tumor immunity in stromal tumor-infiltrating lymphocytes (sTIL). Overall, our findings not only indicate that KDM1A is a promising target for ESCC patients at early stages but also provide novel mechanistic insights into its spatial regulation of STING-associated anti-tumor immunity in sTILs to drive the oncogenic processes in ESCC. The translation of these findings will ultimately guide more appropriate combinations of spatial immunotherapies with KDM1A inhibitors to improve the overall survival of specific subgroups in ESCC.
Developing chiral aggregates exhibiting anti-S-shaped CD-ee dependence: using a meso-isomer to tune dynamic aggregates induced by enantiomers
Authors: Lin Xiao-Yan , Shi Jin-Ling , Wang Qian , Yu Yue-Bo , Chen Xuan-Xuan , Yan Xiaosheng , Wu Xin , Lin Jian-Bin , Li Zhao , Jiang Yun-Bao
Published: December 2024

The meso-isomer of tartaric acid was found to be able to reverse the S-shaped CD-ee dependence into anti-S-shaped, of the dynamic chiral aggregates of PBI dye 1 bearing two ortho-phenylboronic acid binding groups induced by l-/d-tartaric acid.
Calibration free approaches for rapid polymorph discrimination via low frequency (THz) Raman spectroscopy
Authors: Chong Magdalene W. S. , Ward Martin R. , McFarlan Catriona , Parrott Andrew J. , Dallin Paul , Andrews John , Oswald Iain D. H. , Nordon Alison
Published: December 2024

Use of low frequency Raman spectroscopy in conjunction with multivariate curve resolution has significant advantages over powder X-ray diffraction, enabling rapid in situ analysis of solid form with no sample preparation required.
Acoustic shock wave-induced superheating-assisted dynamic recrystallization – a case study of d-tartaric acid
Authors: Aswathappa Sivakumar , Dai Lidong , Sathiyadhas Sahaya Jude Dhas , Kumar Raju Suresh
Published: December 2024

Herein, we demonstrate superheating-assited dynamic recrystallization in a d-tartaric acid, which nearly attains an ideal crystal structure and morphology at 100-shocked conditions and the results are evaluated by XRD, Raman and SEM techniques.
Pressure-induced polymerization of 1,4-difluorobenzene towards fluorinated diamond nanothreads
Authors: Che Guangwei , Fei Yunfan , Tang Xingyu , Zhao Zilin , Hattori Takanori , Abe Jun , Wang Xiaoge , Ju Jing , Dong Xiao , Wang Yajie , Li Kuo , Zheng Haiyan
Published: December 2024

Through the functionalization of benzene, a potential reaction pathway along the [011̄] axis was facilitated for forming diamond nanothreads.
αnhm-GeSe: a multifunctional semiconductor combining auxeticity and piezoelectricity
Authors: Zhu Jiajun , Zhao Heyun , Hu Wanbiao
Published: December 2024

The density functional theory predicts a type of multifunctional material, αnhm-GeSe formed by stitching together two sub-phases, α-GeSe and h-GeSe.
Pd(ii) NCSe–pincer complexes for regioselective cross-dehydrogenative coupling of arylthiophenes with hetero(arenes)
Authors: Singh Sohan , Mahala Suman , Bhuvanesh Nattamai , Joshi Hemant
Published: December 2024

A Pd(ii) NCSe–pincer complex mediated regioselective cross-dehydrogenative coupling of arylthiophenes with hetero(arenes) is presented for constructing optically and biologically important heteroarene molecules.
In situ measurements of gas-particle partitioning of organic compounds in Fairbanks
Authors: Ijaz Amna , Temime-Roussel Brice , kammer julien , Mao Jingqiu , Simpson William , Law Kathy S , Barbara D'Anna
Published: December 2024

Organic compounds were measured in both the gas and particle phases in Fairbanks, Alaska, using a real-time, high-resolution proton transfer reaction-time of flight mass spectrometer (PTR-ToF MS) during a wintertime...
Exploiting conjugated linoleic acid for health: a recent update
Authors: Chen Yang , Xiao Junfeng , Zhu Xiaoqing , Fan Xin , Peng Mingye , Mu Yang , Wang Chao , Xia Lusha , Zhou Mengzhou
Published: December 2024

CLA can regulate IBD, colorectal cancer, atopic dermatitis, arthritis, II diabetes mellitus, obesity, atherosclerosis, breast cancer, and psychiatric disease.
A reconfigurable memristor diode based on a CuInP2S6/graphene lateral heterojunction
Authors: Liao Chuanzheng , Zhang Mengyao , Jiang Yurong , Zhang Suicai , Li Xueping , Yu Leiming , Song Xiaohui , Liu Kang , Wang Ding , Wang Jianye , Xia Congxin
Published: December 2024

Our device demonstrates the reconfigurable characteristics of the diode under the control of only lateral voltage, and exhibits memristive behavior; the physical mechanism is due to the variation in barrier height caused by the migration of Cu+ ions.
Nanomaterial-based synergistic strategies for combating dental caries: progress and perspectives
Authors: Xu Ke , Huang Regina , Li Xuan , Jin Lijian , Ko Chung-Nga , Li Min , Wong Hai Ming , Leung Ken Cham-Fai
Published: December 2024

This review provides a comprehensive insight into the latest research advancements in developing novel nanoparticle-based synergistic strategies mainly for remineralization of dental hard tissues and inhibition of cariogenic biofilms.
Magnetic nanoparticle-mediated non-invasive imaging and eradication of lymph nodes
Authors: Gao Wei , Cai Xiaojun , Wang Yan , Niu Dechao , Zheng Yuanyi
Published: December 2024

This study aimed to develop a multi-functional citrate-coated magnetite nanoparticle that could specifically drain to and accumulate in lymph nodes for non-invasive imaging and eradication of lymph nodes.
Glycidyl ethers from acyclic terpenes: a versatile toolbox for multifunctional poly(ethylene glycol)s with modification opportunities
Authors: Schüttner Sandra , Linden Gregor M. , Hoffmann Elena C. , Holzmüller Philipp , Frey Holger
Published: December 2024

The synthesis of acyclic terpenyl glycidyl ethers (TGEs) and subsequent copolymerization with ethylene oxide (EO) via anionic ring-opening polymerization (AROP) are described. 1H NMR in situ kinetics revealed the copolymer microstructures.
Efficiency of microbial desalination cells in treating wastewater, desalinating saltwater, and generating bioelectricity in Bangladesh
Authors: Sikder Sadia , Toha Mohammad , Rahman Md. Mostafizur , Sikder Mahmudul Hasan
Published: December 2024

Towards sustainable water management: novel strategies for wastewater treatment, saltwater desalination and bioelectricity generation using microbial desalination cells.
Fluorescence sensing of metal ions in solution using a morpholine-containing phenolic Mannich base of 1′-hydroxy-2′-acetonaphthone
Authors: Chibac-Scutaru Andreea Laura , Roman Gheorghe
Published: December 2024

A phenolic Mannich base derived from 1′-hydroxy-2′-acetonaphthone 1 was synthesised. It demonstrated the ability to act as a fluorescent sensor for Al3+, exhibiting a “turn-on” response, and for Cu2+, exhibiting a “turn-off” response.
Tetrapodal iron complexes invoke observable intermediates in nitrate and nitrite reduction
Authors: Moore Jewelianna M. , Fout Alison R.
Published: December 2024

This study examines nitrate and nitrite reduction by a tetrapodal iron complex, identifying key intermediates in the reaction via a bimetallic mechanism.
The emerging role of Rab proteins in osteoclast organelle biogenesis and function
Authors: Lu Shiou-Ling , Noda Takeshi
Published: December 2024

Rab GTPase proteins have been extensively studied for their roles in regulating vesicle and organelle dynamics. Among the ∼60 subtypes in mammalian cells, several Rabs have been reported to play crucial roles in osteoclast biogenesis and function. In this review, we aim to provide an update on recently described Rab GTPases, Rab11, Rab32, Rab44, and Rab38, as well as Rab7, Rab3D and Rab27A in osteoclast formation and function.
Assessment of transmission network connection solutions based on HVAC for offshore wind
Authors: Deriu Mattia , Migliori Michela , Gadaleta Corrado , Cortese Marco , Carlini Enrico Maria , Dicorato Maria , Forte Giuseppe , Tricarico Gioacchino
Published: December 2024

The diffusion of offshore wind power plants (OWPPs), useful to fulfil renewable diffusion policy targets, implies several technological challenges for integration in power transmission network. The definition of the OWPP connection to the transmission network affects possible exploitation of the assets, involves an evaluation of active power losses and loadability and points out the need for compensation devices, in order to comply with connection rules fixed by the grid operator. This paper proposes a methodology to determine the most suitable electric connection for an OWPP based on high‐voltage alternating current (HVAC) cables, for providing indications for transmission system operators. In particular, different HVAC connection schemes for OWPPs are analysed, focusing on new 66 kV standard voltage and high‐voltage levels, providing technical insight on transmission cable optimal operation conditions. An economic analysis is carried out by proper estimation of construction costs and production forecast, accounting for active power losses and reliability impact. The most suitable connection solution depending on OWPP size and distance in Italian framework is evaluated by means of synthetic techno‐economic indicators, further analysing possible sensitivities of energy price and capacity factor.
An IGDT‐stochastic model for low‐carbon economic dispatch of integrated electricity‐natural gas systems considering grid‐enhancing technologies
Authors: Talebi Amir , Agabalaye‐Rahvar Masoud , Mohammadi‐Ivatloo Behnam , Zare Kazem , Anvari‐Moghaddam Amjad
Published: December 2024

Utilizing wind power alongside flexible resources such as power‐to‐gas technology, gas‐fuel generator, demand response (DR) program, grid‐enhancing technologies, and carbon capture and storage can help to low carbon operation of integrated electricity‐gas systems (IEGSs). Accordingly, this paper proposes a low‐carbon economic dispatch model for the IEGS, in which gas‐fuel generators, DR, and gas‐fuel generator are considered to realize the economic and environmentally friendly operation of these systems. Also, the flexible AC transmission system device as one of the grid‐enhancing technologies is innovatively included in IEGSs to guarantee that wind power is deliverable entire the electricity system. Besides, power‐to‐gas equipped with hydrogen storage is used to absorb the excess wind power to produce CH4. On the other hand, to capture the inherent flexibility of the gas network, the gas‐storing characteristic of pipelines is shown by line pack modelling. To manage uncertainties associated with wind power and DR program, the proposed model is formulated as an IGDT‐stochastic problem. For efficient computation purposes, the present work follows the mixed‐integer linear programming framework. Different case studies are performed on an integrated test system. Numerical simulation results show that the proposed model leads to reducing the total cost, carbon emissions, and wind curtailment by 29%, 16.4%, and 100%, respectively. It can be seen that the proposed low‐carbon ED model is environmentally friendly and has economic benefits.
Fisheye image rectification and restoration based on Swin Transformer
Authors: Xu Jian , Han Dewei , Li Kang , Li Junjie , Ma Zhaoyuan
Published: December 2024

Fisheye cameras are widely used in surveillance, automotive systems, virtual reality, and panoramic photography due to their wide‐angle perspective. However, images captured by fisheye cameras suffer from significant geometric distortions, affecting image analysis and understanding. This distortion bends straight lines into curves, resulting in a barrel‐shaped appearance of the image. To mitigate these effects and transform fisheye images into a regular perspective, fisheye image correction is necessary, enabling more accurate and reliable performance in applications like object recognition, 3D reconstruction, and visual navigation. While convolutional neural networks based fisheye image correction has progressed, it has not fully utilized the global distribution and local symmetry of distortions due to the limitations of fixed receptive fields. This paper introduces a new model based on the Swin Transformer that effectively utilizes both global and local distortion features to adapt automatically to fisheye lens distortions. It also incorporates image restoration functionality to enhance texture details in the corrected images. A novel approach to synthetic dataset generation is proposed to improve the network's generalization capabilities.
An innovative hybrid model combining informer and K‐Means clustering methods for invisible multisite solar power estimation
Authors: Phan Quoc‐Thang , Wu Yuan‐Kang , Phan Quoc‐Dung
Published: December 2024

The employment of behind‐the‐meter solar photovoltaic (PV) systems has gained increasing popularity in recent years as more individuals and organizations aim to reduce their reliance on conventional grid‐connected power sources and take advantage of the environmental and economic benefits of solar power. However, precisely estimating the potential output of PV systems is a challenging task, since most of the PV systems used in residential properties have been installed behind the meter. Consequently, electric power companies are limited to accessing only the recorded net electricity consumption. This article introduces an innovative approach to estimate behind‐the‐meter PV power generation within a large region, utilizing a limited representative subset. The proposed framework integrates Missforest, that is, a robust tool for missing data imputation, with a hybrid application of K‐Means, Pearson Correlation Coefficient, and Principal Component Analysis, for the precise selection of representative PV sites. Additionally, it leverages the Informer model, a cutting‐edge deep learning‐based time series model, to link the relationship between the PV power generation at representative sites and the total PV power output on the entire region. To conduct a case study, the power output of 367 PV sites and solar radiation measured at 105 weather stations in Taiwan were collected and analyzed. The application of this comprehensive methodology demonstrates a notable advancement in the estimation of “invisible” PV power generation in comparison to other established techniques.
Failure mode analysis of Austria's first road-integrated photovoltaic system
Authors: Erber Alexander , Grasel Bernhard
Published: December 2024

The exploration of traffic areas as a novel photovoltaic integration opportunity within the traffic sector, specifically in road surfaces, has been demonstrated in various projects. Limited data and publications about the performance and failure modes of these innovative road-integrated modules highlights the need for a comprehensive failure analysis. This study focuses on first time assessing failure modes of road-integrated photovoltaic modules installed at Austria's first road-integrated PV system in Teesdorf. A comprehensive failure mode analysis is conducted at the 100 m2 PV parking place using a combination of quantitative and qualitative methods. These methods include regular visual inspections, I-V-curve measurements at both string- and module-levels (with a simplified STC correction), electroluminescence- and dark-I-V-curve measurements, and the use of monitoring data. The PV parking place produced 10.2 MWh in its first operation year, 27.18% less than the estimated yield. Visual inspections reveal various failure modes, including detachment of the module top layer, delamination, and broken module edges. In the analysed monitoring data continuous power losses are observed over the systems operation time. String-level power losses of up to 47.8% (mean: 33.5%) are calculated for the first year of operation. For the second year of operation the power losses reach a up to of 77.5% (mean: 56.2%). Cell cracks as the main cause of these power losses, attributed to vehicle loads, are identified through electroluminescence images. Out of 16 analysed strings with dark I-V-curve measurements three showed at least one bypass diode malfunctions. The combination of quantitative and qualitative methods identified multiple failure modes and their main causes. As a conclusion, the study highlights the challenges of integrating PV modules into road surfaces, emphasizing the need for standardisation and quality assurance in the field of road-integrated PV applications.
Position closed loop control of stepper motors based on arctangent function
Authors: ZHOU Wenlin , QIAN Junzhang , JIANG Ping , LI Xin
Published: December 2024

The high-precision position closed-loop control of stepper motors usually use field-oriented control. This method requires high-precision models of motors, however stepper motors are complex nonlinear systems, and high-precision models are difficult to obtain. In order to solve this problem, a pulse frequency modulation controller based on arc tangent function is proposed in this paper. This algorithm does not need accurate mathematical model, and its turning parameters have clear physical significance, which can be calculated according to the control requirements. The experimental results show that when tracking the sinusoidal signal θref=450sin(0.628t), the tracking errors (peak-peak value) of the arctangent control algorithm is reduced by nearly 42% compared with the PI control algorithm, which provides a new idea for the position closed-loop control of stepper motors.
Temperature control of electric hotplate based on Smith fuzzy multi-level integral separation PID
Authors: ZHANG Shuo , ZHANG Aihua , DONG Shijie , FAN Diqing , FANG Yu
Published: December 2024

In order to improve the processing yield of large-size wafers, the partition control method of silicon carbide wafer heating plate heated by metal oxide conductive coating is studied, and a 4-partition temperature control system based on Smith fuzzy multilevel integral separation PID is proposed so as to solve the surface temperature consistency of the wafer heating plate under the requirement of high precision. Through the thermal effect simulation to establish the system model, the heat distribution in each region is analyzed. And then the heating plate temperature control system based on PLC controller is built, and Smith fuzzy multilevel integral separation PID algorithm to facilitate the practical application to improve the control accuracy is proposed, combined with the system model and the conventional PID algorithm in MATLAB for comparison. Finally the experimental verification is carried out based on the established heating plate temperature control system. Simulation and experimental results show that the present control method has a higher control accuracy, and can realize the consistency of the surface temperature of the heating plate stabilized at about 0.05℃, the average temperature steady-state error ±0.05℃, and the control effect is good.
Supervised pyramid network based on semantic consistency for object detection
Authors: DAI Rui , XU Pengyue , LI Jie , HE Lihuo
Published: December 2024

Feature pyramid network is widely used in image understanding tasks based on multi-scale feature learning. The latest multi-scale feature learning focuses on the interactive integration of features in semantic features and detail features. Feature pyramid network complements multi-scale information semantic features and detail features through feature interpolation and summation of adjacent layers. Due to the existence of nonlinear operation and convolution layers with different output dimensions, the relationship among different levels is much more complex, and pixel by pixel summation is suboptimal method. A supervised feature pyramid network based on semantic consistency for object detection is proposed. The present method is composed of asymmetric convolution lateral connection and multi-scale semantic features augmentation. The asymmetric convolution lateral connection improves the generalization of features to various pose objects by learning the feature maps of different receptive fields. The multi-scale semantic features augmentation network improves the detail expression ability of high-level features by supplementing the low-level information for the high-level feature map. Moreover, the present method can provide a better trade-off between accuracy and detection performance. Experiments conduct on the MSCOCO dataset, and the results show that the proposed object detection method's accuracy is improved by 2.6% without increasing extra FLOPs.
Design of Maritime French Tourism Teaching Material for Riau Islands Students
Authors: Indrayatti Wahyu , Zulaeha Ida , Yuniawan Tommi , Vivi Widayanti Diah
Published: December 2024

Maritime tourism is one of the Riau Islands' natural resource potentials. French Tourism is an additional foreign language skill for English Department students at Universitas Maritim Raja Ali Haji, Tanjungpinang, Riau Islands. Teaching materials have an essential role in teaching French-specific purposes. The purpose of this study is to design Maritime French Tourism teaching materials using the literature review method. The design of teaching materials refers to previous studies on developing teaching materials for tour guides to determine the language competencies and content that students need to improve their skills as future tour guides in the Riau Islands. Speaking skill is should be the most practiced language skills in tourism French courses. The teaching materials should include specific materials about tour guide professionalism and French language training material that comprises the Riau Islands' maritime tourism context and encouraging communicative competence.
College Students Fear of Water: A Study about Swimming Ability in The Coastal Area
Authors: Pratama Yudi , Intasir M. Pemberdi , Siregar Eko Febri Syahputra , Sarkity Dios , Fernando Adam
Published: December 2024

Students in coastal areas are generally accustomed to various activities at sea, but there are still people in coastal areas who are afraid of the sea. This research aims to determine the level of fear of students in the coastal region regarding water sports activities. This research is descriptive research with a quantitative approach. This research was conducted in October 2024 at Raja Ali Haji Maritime University with respondents involving biology education students. Data collection was carried out using a questionnaire, and the data was analyzed descriptively. The results show that although coastal students are used to living side by side with the sea, there are students who are afraid of activities in the water. 64% of students are afraid of activities related to water due to various factors, and 36% are not afraid or phobic of water. This shows the importance of getting coastal students accustomed to doing sports activities in water slowly until they get used to it and their level of fear of water decreases.
Alternative Media for Teaching Indonesian Language Based on Madurese Culture for Foreign Speakers
Authors: Kusuma Emy Rizta , Mutiatun Siti
Published: December 2024

Teaching media is an important alternative for enhancing learners' understanding of concepts and theories in education. In the context of BIPA (Bahasa Indonesia untuk Penutur Asing), teaching media is essential for improving the Indonesian language skills of foreign learners. However, the lack of teaching media that is integrated with local culture necessitates that instructors develop appropriate supplementary materials. Therefore, this study aims to present alternative culturally-based teaching media that can enhance the speaking skills of foreign learners while also introducing Madurese culture, particularly its maritime elements. By integrating aspects of Madurese culture through teaching media, learners not only improve their language proficiency but also understand the use of language within relevant cultural contexts. The development of culturally-based teaching media that reflects local characteristics, such as those of Madurese culture, is crucial for creating a comprehensive and authentic learning experience for BIPA learners.
The Impact of Socialization on Increasing The Understanding of Maintaining Physical Fitness in The Work Environment among Managers of The Nusa Indah Reading Park in The Bintan Coastal Area
Authors: Intasir M. Pemberdi , Siregar Eko Febri Syaputra , Sarkity Dios , Fernando Adam , Pratama Yudi
Published: December 2024

Physical fitness is a requirement in life to be healthier and able to carry out productive activities. Everyone needs good physical fitness, so they can carry out their work effectively and efficiently without experiencing significant fatigue. Likewise, in the world of work, good physical fitness is also very necessary to be able to complete work well, especially for the managers of the Nusa Indah Reading Park in Bakau Bay, Bintan Regency, there are still some reading park managers who don't know how to calculate a person's fitness level and how to maintain your own physical fitness. Based on the problems above, researchers are interested in seeing the level of understanding in maintaining fitness levels in the world of work among Nusa Indah reading park managers Based on the problems above, researchers are interested in seeing the level of understanding in maintaining fitness levels in the world of work among Nusa Indah reading park managers. Based on the problems above, researchers are interested in seeing the level of understanding in maintaining fitness levels in the world of work among Nusa Indah reading park managers.
Traditional Medicines in the Malay Community Based on Local Wisdom
Authors: Kurmalasari Tety , Samin Rumzi , Habiba Siti , Atmadinata Atmadinata , Zaitun Zaitun , Patria Roby , Mustado Maulida , Musliha Musliha
Published: December 2024

Indonesia is a nation consisting of islands, various tribes and cultures and has abundant natural wealth which is a form of local wisdom that can be inherited and preserved. The method used in this research is to provide material about health using animated video media directly to the public via Facebook, Instagram, YouTube and TikTok. The results of this service in Pengudang village are various plants that can be used as medicine for various diseases, namely gotu kola, noni, red lemongrass, red ginger, wangho leaves, Chinese betel and those of animal origin, namely gamat.
Ecolinguistics and Local Language Preservation: Children’s Folk Songs as a Tool for Revitalizing the Madurese Language
Authors: Sudarto Yoharwan Dwi , Khotimah Khusnul
Published: December 2024

This study aims to explore the role of tembang dolanan in the revitalization of the Madurese language through an ecolinguistic approach. Tembang dolanan, as part of local wisdom, not only serves as entertainment but also as an educational medium rich in cultural values, including Andhap Asor, which teaches humility and respect. Through an ecolinguistic analysis, this research reveals how tembang dolanan can function as an effective tool in preserving the Madurese language, which has experienced a decline in use among younger generations. The ecolinguistic approach allows this study to understand the interaction between language, culture, and the social environment in the Madurese context. The findings show that tembang dolanan not only helps in maintaining the language but also strengthens cultural identity and local values. The revitalization of the language through tembang dolanan is a strategic step in preserving linguistic and cultural diversity in Indonesia.
Development of local wisdom-based character instruments in fluid physics courses to strengthen education sustainable development (ESD)
Authors: Misbah Misbah , Hamidah Ida , Sriyati Siti , Samsudin Achmad
Published: December 2024

This article analyses the validity of local wisdom-based character instruments in fluid physics courses. This study uses research and development but only up to the expert validation stage. The validation sheet was used by nine experts to validate this instrument. The results indicated that the instrument had been declared valid. The character of potential instructors in fluid physics courses can then be assessed using this tool in the following phase. It is anticipated that this will help ESD be achieved.
STEAM Approach and Qur'anic Values in Enhancing Environmental Awareness of Students at MA Pesantren Modern Tebuireng Bintan
Authors: Hidayat Taufik , Hendra Hendra , Sigalingging Saipul , Zaitun Zaitun , Izzaty Nur
Published: December 2024

The decline of environmental character among students can be addressed through the integration of Islamic values into the learning process. An effective and meaningful approach, such as STEAM (Science, Technology, Engineering, Arts, and Mathematics) combined with Qur'anic values, can motivate students to strengthen their environmental character. This study aims to examine the effectiveness of integrating Qur'anic values into STEAM learning as an effort to increase environmental awareness among students at MA Pesantren Modern Tebuireng Bintan. One of the Qur'anic values emphasized is the importance of preserving nature as taught in Surah Al-Baqarah: 205, which highlights the importance of preventing damage to the earth. The method used in this research is a quantitative approach with a descriptive design. The sample consisted of 30 students randomly selected from the total population. Data was collected through questionnaires, observation sheets, and interviews with teachers, and analyzed using descriptive statistical techniques. The results showed that the integration of Qur'anic values in STEAM learning significantly improved students' understanding of STEAM concepts and increased their awareness of environmental conservation.
Research Trends on Microscale Experiment Laboratory in Chemistry Learning: The Bibliometric Analysis of Literature
Authors: Khoirunnisa Fitriah , Hendrawan Hendrawan , Kadarohman Asep , Anwar Sjaeful
Published: December 2024

This research aims to summarize microscale chemistry experiments, encompassing scientific production, the most prominent researchers and countries involved, distribution trends over time, and the primary research areas. The bibliometric analysis of microscale experiments laboratory in chemistry was carried out using published documents, empirical research articles, review articles, and books published. In addition, about 213 articles and books published in internationally reputable journals were excavated from the Scopus database. Findings revealed that the number of articles on microscale experiments varied from 2010 to 2023. Meanwhile, collaborative co-authors mainly consist of researchers from the same country, and the countries involved in the collaboration are Asian, European, and American, respectively. Furthermore, there was a shift in research focus, where in the previous investigation, several examinations were carried out across disciplines, such as microscale experiments in chemistry, such as organic, inorganic, and physical chemistry. Although the current research focuses on integrating microscale experiments in chemistry learning, it has not been fully practiced among students or chemistry education students. Therefore, this may be an opportunity for further research that increases the implementation of microscale experiments into chemistry learning, especially for prospective chemistry teachers, to promote the attainment of education for sustainable development.
LoRa 920 MHz as a Green Technology in Maritime Education: Optimizing Modulation Settings for Real-Time Environmental Data
Authors: Purnamasari Dian Neipa , Ulum Miftachul
Published: December 2024

LoRa, as a low-power wireless communication module, offers high flexibility and energy efficiency, making it an ideal choice for sustainable monitoring in maritime environments. This study identifies optimal modulation settings for LoRa 920 MHz within a 125 KHz bandwidth across various distances, enabling real-time monitoring of oceanic environmental conditions. Key tested variables include the Spreading Factor and Coding Rate, which influence signal parameters such as RSSI, SNR, PDR, and ToA. At 250 meters (LoS), the optimal configuration is a Spreading Factor of 9 and Coding Rate of 4/7, achieving RSSI -95.60, SNR 4.80, PDR 100%, and ToA 197.63 ms. For 500 meters (LoS), the best settings are a Spreading Factor of 12 and a Coding Rate of 4/7, yielding RSSI -98.60, SNR -4.10, PDR 100%, and ToA 1351.68 ms. At 150 meters (NLoS), the ideal arrangement may be a Spreading Factor of 10 and a Coding Rate of 4/5, creating RSSI -103.80, SNR -5.40, PDR 100%, and ToA 288.77 ms. Discoveries illustrate that expanding the Spreading Calculate and Coding Rate impacts SNR and ToA. These come about to emphasize LoRa's potential to bolster economical sea natural instruction through energy-efficient, real-time information collection.
The Role of Air Dohot as a Culinary Heritage of Penyengat Island, Riau Archipelago Province, in Shaping the Character of the Younger Generation
Authors: Patria Robby , Zaitun Zaitun , Atmadinata Atmadinata , Hajar Encik Abdul , Hendra Hendra
Published: December 2024

This research examines the role of Air Dohot as a culinary heritage of Penyengat Island, Riau Archipelago Province (KEPRI), in shaping the character of young generations. Air Dohot is a traditional beverage that holds profound historical and cultural values for the Penyengat Island community. This study aims to analyze the cultural values embedded in Air Dohot, identify preservation and development strategies, and evaluate their impact on young generation character formation. The research employs a qualitative method with an ethnographic approach, involving in- depth interviews with 20 informants comprising traditional Air Dohot makers, cultural figures, and young people from Penyengat Island. Data collection was conducted through participatory observation, structured interviews, and documentation studies from January to Agustus 2024. The findings reveal that Air Dohot plays a strategic role in young generation character formation through three main aspects: (1) transfer of cultural values and local wisdom, (2) development of entrepreneurial skills and spirit, and (3) strengthening of cultural identity. The established educational programs, documentation efforts, and innovations have positively contributed to preserving this culinary heritage while simultaneously fostering character development among young generations who appreciate local culture. This research recommends the importance of integrating Air Dohot values into character education based on local wisdom and developing sustainable preservation strategies.
Aktuelle Voraussetzungen und Qualifikationsanforderungen für die
Habilitation und die außerplanmäßige Professur (apl.) an deutschen
Universitätskliniken: Eine umfassende Analyse akademischer
Graduierungsbedingungen
Authors: Rudari Michele , Stefan Vlad , Finkbeiner Sophia , Dragu Adrian , Janetzky Bernd , Alawi Seyed Arash
Published: December 2024

Einleitung Das Erreichen einer medizinischen Professur stellt einen
bedeutenden Schritt in der akademischen Laufbahn eines Arztes dar. Die
Verantwortung und die damit verbundenen Verpflichtungen sind signifikant, jedoch
variieren die akademischen Graduierungsbedingungen in Deutschland.

Material und Methoden Basierend auf einer Online-Recherche haben wir die
Satzungen und Bedingungen der medizinischen Fakultäten in Deutschland
untersucht, um die Anforderungen für eine Habilitation sowie eine
außerplanmäßige (apl.) Professur zu ermitteln. Eingeschlossen wurden alle 38
deutschen medizinischen Fakultäten. Es erfolgte die Auswertung der
Leistungsvoraussetzungen in den Bereichen Lehre und Forschung.

Ergebnisse Die allgemeine Voraussetzung für einen Habilitationsantrag ist
der Abschluss der Facharztprüfung. Im Durchschnitt werden 2,3 Jahre (min. 0,5,
max. 5 Jahre) Lehrtätigkeit vorausgesetzt. Die Mindestanzahl an
Unterrichtsstunden beträgt im Durchschnitt 2,6 Semesterwochenstunden (SWS) (min.
1, max. 9). Es werden durchschnittlich mindestens 11 Publikationen (min. 6, max.
15) in peer-reviewed Fachzeitschriften vorausgesetzt. Von diesen müssen im
Durchschnitt 7 (min. 3, max. 10) als Erst- oder Letztautor verfasst werden. Für
eine außerplanmäßige Professur werden im Durchschnitt 4,4 Jahre (min. 2, max. 6)
Jahre Lehrtätigkeit nach der Habilitation vorausgesetzt. Die Mindestanzahl an
Unterrichtsstunden in Semesterwochenstunden beträgt im Durchschnitt 1,9 Stunden
(min. 1, max. 2). Die Mindestanzahl an Publikationen beträgt durchschnittlich 9
Publikationen (min. 4, max. 24), davon müssen im Durchschnitt 6 als Erst- oder
Letztautor verfasst werden (min. 4, max. 24).

Schlussfolgerung Die Anforderungen für Habilitation und apl. Professur in
Deutschland variieren deutlich. Geringere Publikationszahlen können je nach
Fakultät durch höhere „Impakt Faktoren“ ausgeglichen werden. Der ausgeprägte
Föderalismus in Deutschland verursacht erhebliche Unterschiede in den
Anforderungen und Standards für akademische Titel wie Habilitationen und apl.
Professuren in den verschiedenen Bundesländern. Weiterhin existieren keine
nationale Standardisierung und Vergleichbarkeit im Bereich der medizinischen
akademischen Graduierungen.
Vergaberecht: Nachhaltiges Planen und Bauen mit Lebenszyklus-Ansatz
Authors: Jasper Ute , Baumann Johannes
Published: December 2024

Kliniken können ihre Vergabeverfahren so gestalten, dass ein Wettbewerb um die geringsten Lebenszykluskosten entsteht. So kann verhindert werden, dass zwar billig gebaut, aber zum Beispiel teuer gekühlt und geheizt wird. Bei Bauprojekten sind dazu Planung, Bau, Instandhaltung und Energieverbrauch einheitlich zu betrachten.
Nachhaltigkeit in der Gemeinschaftsverpflegung: Maßnahmen für ein ressourcenschonendes Care-Catering
Authors: Greth Thorsten
Published: December 2024

Nachhaltigkeit ist auch im Care-Catering ein zunehmend wichtiges Thema, das sowohl ökologische als auch ökonomische Vorteile bietet. Entsprechende Maßnahmen können den CO2-Fußabdruck verringern, Ressourcen schonen und gleichzeitig die Gesundheit und das Wohlbefinden der Konsumenten fördern.
KI – Tiefe neuronale Netzwerke detektieren zuverlässig kolorektale Karzinome
Authors: Krome Susanne
Published: December 2024

Die Indikationen für abdominelle Computertomografien sind vielfältig. Der Ausschluss unerwarteter kolorektaler Karzinome (CRC) ist schwierig, zeitaufwendig und kann in falsch-negativen Befunden resultieren. Die Studiengruppe entwickelte das tiefe konvolutionale Netzwerk CUNET für die Segmentierung und Detektion kolorektaler Karzinome, das sich in verschiedenen Validierungsszenarien bewährte und anderen Algorithmen überlegen war.
BI-RADS-4A-Befunde in der Mammasonografie: gut- oder bösartig?
Authors: Lorenz Judith
Published: December 2024

Sonografisch als BI-RADS (Breast Imaging Reporting and Data System) 4 A klassifizierte Mammabefunde werden üblicherweise bioptisch abgeklärt. Allerdings liegt die Malignitätsrate nur bei 2 bis 10 %. Ein Forscherteam aus China entwickelte nun mithilfe künstlicher Intelligenz ein Nomogramm, das eine genauere Differenzierung benigner und maligner Herde erlaubt.
Endometriumkarzinom: adjuvante Brachytherapie mit singulärer Dosisplanung
Authors: Clauss R. Maria
Published: December 2024

Die Strahlentherapie gehört zum adjuvanten Behandlungsregime des Endometriumkarzinoms (EC: Endometrial Cancer) mit nachgewiesenem Rezidivrisiko, welches durch das FIGO-Stadium, den Histologiebefund, den Lymphknotenbefall und seit Kurzem auch durch den molekulargenetischen Status definiert ist. Bei einem mittleren Rückfallrisiko ist die HDR-(High Dose Rate-)Brachytherapie mit Position der Strahlenquelle im Scheidengewölbe das Mittel der Wahl.
Endometriumkarzinom: Stellenwert der p53-Expression für die adjuvante Therapie
Authors: Clauss R. Maria
Published: December 2024

Das postoperative Management des Endometriumkarzinoms hat sich mit der Einführung der molekularen Tumorklassifikation verändert. Die Entscheidung für oder gegen eine adjuvante Therapie basiert seitdem auf 3 genetischen Faktoren: der immunohistochemisch nachweisbaren Expression von p53-Protein und von Mismatch Repair-Protein sowie dem POLE-Gen, das die Polymerase ε kodiert und durch aufwendige Sequenzierung ermittelt wird.
Neuer Meilenstein bei der adjuvanten NSCLC-Therapie
Authors: Franke Katharina
Published: December 2024

Lokal fortgeschrittene nicht-kleinzellige Lungenkarzinome (NSCLC) sind durch eine schlechte Prognose gekennzeichnet. Der bisherige adjuvante Therapiestandard besteht seit Jahrzehnten aus einer platinbasierten Chemotherapie, welche aber nur begrenzt effektiv und mit einer hohen Rate an Nebenwirkungen behaftet ist. Bei einer kleinen Subgruppe der NSCLC konnten die Behandlungsergebnisse jetzt maßgeblich durch eine gezielte Immuntherapie verbessert werden.