bluuebunny/crossref_metadata_2025 huggingface dataset:
The results of the NEA astrometric observations with the Pulkovo 40-cm telescope at the Assy-Turgen observatory
Authors:   The Central Astronomical Observatory of the RAS at Pulkovo,   The Institute of Applied Astronomy of the RAS, Khovrichev M.Yu. , Laznevoi S.I. ,   Saint Petersburg State University, Lunchenko A.D. ,   Saint Petersburg State University, Osetrovas A.A. ,   Saint Petersburg State University
Published: December 2023

We present the results of astrometric observations of two near-Earth asteroids (2005 XY7 and 2007 UM12) performed in September-November 2023 with the 40-cm Pulkovo telescope in the Assy-Turgen observatory. Stellar and asteroid pixel coordinates were calculated by varying the photo center position, background, and flux values for the PSF (point spread function) based on the analysis of the stellar images. The stars within the 4-arcmin asteroid-centered ring were not involved in the astrometric calibration. These stars were used for the asteroid systematic correction calculation. As a result, the internal accuracy of asteroid positions was better than 0.1 arcsec. The estimation of the mean position and the apparent rate components were performed for each set of CCD frames. Finally, the typical accuracy of the coordinates reached values of 0.024 – 0.088 arcsec. In addition, the numerical integration of the asteroid motion was made by varying the components of the state vector and A2-parameter (Yarkovsky acceleration). The unexpected and statistically insignificant A2 value for the 2007 UM12 has been found. It can be explained by the low quality of the data related to the first approach of this asteroid to the Earth and/or the tidal effects that changed the rotational state of the asteroid. The value A2 = (8.1 ± 6.4) · 10−14 a.u. per day2 on the significance boundary has been calculated for 2005 XY7 asteroid. This value does not contradict well-known data for the same size asteroids.
Large Analysis of progress in improving the prediction accuracy of Earth's rotation parameters in Russian and international EOP services during last 16 years
Authors:   Central Astronomical Observatory at Pulkovo of RAS, Malkin Z.M.
Published: December 2023

The paper analyzes the real predictions of the Earth's rotation parameters (ERP) made in the Russian State Service of the Earth's Rotation (the Center for processing and analyzing data on the parameters of the Earth's rotation of the Main Metrological Center of the State Service of Time, Frequency and Determination of the Parameters of the Earth's Rotation, SSTF) and the International Earth Rotation and Reference Systems Service (IERS) in 2007--2023. Daily predictions of the Earth's Pole coordinates and Universal Time were considered. In total, 6021 SSTF predictions and 5684 IERS predictions were processed. The change in median and maximum errors over time for prediction lengths of 1, 3, 7, 15 and 30 days was studied. As a result, it turned out that over the past 16 years there has not been a general steady trend towards a decrease in the error of ERP predictions in both centers, although such a decrease is clearly noticeable for certain types and lengths of the prediction. Moreover, in some cases, there is a tendency to worsen the accuracy of the prediction, especially for the maximum error of short-term predictions of Universal Time.
Analizar la transformación de los ríos Coxcacoaco y Cuautla para impulsar nuevos procesos de cambio
Authors: Latargère Jade
Published: December 2023

Conocer la historia socioambiental de los ríos resulta útil para construir un proyecto de restauración, no sólo porque nos permite ver los ríos como un antroposistema que ha sido modificado por el hombre, sino porque nos puede enseñar pautas para idear nuevos procesos de cambio. En este artículo analizamos dos expedientes del Archivo Histórico del Agua (AHA) en torno a la transformación morfológica de los ríos Coxcacoaco y Cuautla en los años cuarenta. Aunque en México los ríos se encuentran bajo dominio federal desde la promulgación de la Constitución de 1917, estas experiencias ponen de relieve que se establecieron diversos esquemas de colaboración entre autoridades y actores locales para transformar la morfología de las corrientes. También evidencian que la transformación de los ríos se realizó de manera lenta e “incremental”, mediante la construcción de obras a pequeña escala, que acabaron produciendo cambios a mediano y largo plazo. En un contexto en el que, hasta la fecha, varios proyectos de restauración no han tenido el éxito esperado, estas experiencias nos invitan a romper con la lógica del intervencionismo voluntario a gran escala para construir nuevos procesos de cambio.
Producción de forraje verde hidropónico de maíz (Zea mays L.) con aplicación de microorganismos eficientes.
Authors: Celi Sabando Kristley David , Torres Avellan Tairy Eliana
Published: December 2023

La presente investigación tiene como objetivo evaluar el efecto de EM en el cultivo de FVH de Maíz (Zea mays) dentro del cantón Quinindé, provincia de Esmeraldas, Ecuador. Se trabajó con dos tratamientos T1 y T2 en donde el tratamiento 1 fue el testigo (solo agua), mientras que el tratamiento 2 fue al que se le aplicó ME. En cada unidad experimental se utilizó 0,75 kg de maíz criollo, de los cuales se seleccionó 15 plantas de muestra, y se midió: porcentaje de germinación, porcentaje de mortalidad, altura de planta, peso de materia fresca. El riego se aplicó diariamente distribuidos en 3 dosificaciones (mañana, medio día y tarde) y se adicionaron los M.E. (al tratamiento correspondiente) en una dosificación de 10% (dosis recomendada) del volumen de agua a utilizar. La dosis de agua es de 0.9 litros de agua/m² en donde cada 7 bandejas corresponden a un metro cuadrado. El porcentaje de germinación fue igual en ambos tratamientos con un promedio de 91,83%, en el criterio de altura de planta a los 7 días el T1 (3,7 cm) fue superior al T2 (2,83 cm), en el peso de las bandejas el T1 (0,9 kg) tuvo ventaja al T2 (0,81 kg). Se realizó otra medición a los 10 días donde se mantuvo la tendencia de T1 sobre T2 y en la medición final a los 12 días el T1 (19,34 cm y 2,84 kg) presentó mejores resultados que el T2 (17,02 cm y 2,34 kg).
One Health, klimafreundlich und gesundheitsförderlich ist teuer – oder doch nicht?
Authors: Albert Stefanie , Lerchbaumer Maria , Überall Martina
Published: December 2023

Die Erkenntnis, dass jeder Einkauf Auswirkungen auf die menschliche Gesundheit, die Ökosysteme und den Planeten hat, aber trotzdem leistbar sein muss, kann leicht zu Lethargie und Überforderung führen. Als Ideen und Werkzeuge für Lehrende und Lernende sollen in diesem Beitrag Strategien zur Umsetzung eines One-Health-konformen Einkaufs in Schule und Alltag mitgegeben werden.
Bildungsalgorithmen. Rekonstruktive Explorationen zur Konstitution von Formenalgorithmen individuierter Fallstrukturgesetzlichkeiten in raumzeitlichen Sinnordnungen von Orten und Regionen
Authors: Böder Tim , Böhme Jeanette
Published: December 2023

In diesem Beitrag wird eine strukturgenetische Perspektive auf die Bedeutung von Orten und Regionen für Bildungsprozesse eingenommen. Dabei wird davon ausgegangen, dass sich Bildungsprozesse durch die leibgebundene Positionalität und die performative Bezugnahme auf Orte und Regionen des Aufwachsens als raumzeitliche Sinnordnungen konstituieren und in Erinnerungsbildern manifestieren. Diese Erinnerungsbilder wiederum lassen sich mit der Methode der Narrativen Landkarte als Stegreifskizzen protokollieren. Deren Auswertung mit dem bildrekonstruktiven Verfahren der Morphologischen Hermeneutik zielt auf eine Exploration von Formenalgorithmen individuierter Fallstrukturgesetzlichkeiten, die schließlich als Bildungsalgorithmen bestimmt werden. Die Ergebnisse verdeutlichen, dass Orte und Regionen einen Transformationsprozess durchlaufen und eine Erfahrungsdiversität für fallspezifische Ausformungen von Bildungsprozessen eröffnen.
Robust Convolutional Neural Network for Image Classification with Gaussian Noise
Authors: Surono Sugiyarto , Arofah Dyiyah Kresna Eni , Thobirin Aris
Published: December 2023

A Convolutional Neural Network (CNN) is one branch of Deep Learning widely used for image classification. CNN have complex architectures and capable of achieving high accuracy and producing good results. However, CNN have limitations, especially when dealing with noisy images. Image noise can decrease classification performance and increase network training time. This research was tested the robustness of two CNN methods, namely VGG16 and ResNet50, in processing images with added Gaussian noise at various levels, without any preprocessing. The dataset used is the Rice Image Dataset, which consists of images of 5 different types of rice. The data is divided into three parts: 70% for training, 20% for testing, and 10% for validation. The results of this study show that as the variability in generating Gaussian noise in the images increases, the loss function value consistently increases, and the accuracy decreases. However, the increase in the loss function value and the decrease in accuracy are not significantly different among the different levels of noise variability.
On the Wavelet Convolution Neural Networks for Ultra-Sound Based Breast Cancer Detection
Authors: Sriwichai Kittikorn , Simtrakankul Chantana , Onjun Ratapong , Paewpolsong Pichapop , Kaennakham Sayan
Published: December 2023

Breast cancer is one of the deadliest types of cancer, and it comes in a wide variety of forms, resulting in a wide variety of detection methods. Several deep learning techniques have been applied to decrease unnecessary biopsies and lessen the burden on radiologists. One of the most popular architectures for this task is the Convolutional Neural Networks (CNNs). This paper aims to explore the integration of convolutional neural networks (CNN) and wavelet transform (WT) to identify the optimal combination and architecture of these methods for efficient detection of breast cancer in ultrasound images. To accomplish this task, the wavelet convolutional neural network (WCNN) structures are proposed and trained for the mission of screening breast cancer abnormalities embedded in ultrasound type of images. Compared with other two popular networks, ResNet50 and MobileNetV2, it has been found that the proposed WCNN has produced a satisfactory solution, with an accuracy of 98.24%, precision of 97.29%, recall of 100%, and F measure of 98.24%.
Bayesian Matrix Completion for Ranking COVID-19 Cases
Authors: Cao Yushu , Zhang Lei
Published: December 2023

Due to the surge in COVID-19 cases, hospitals have had to receive many more patients than before, which has brought unprecedented pressure to the hospital system. Therefore, the emphasis of medical decision-making has shifted from reaching the best treatment effect to prioritizing the treatment of COVID-19 patients by hospitals, which is key to relieving the pressure on the hospital system and reducing the overall mortality rate of COVID-19. There is no doubt that establishing the prioritization of COVID-19 cases is fundamental and pivotal for hospitals to achieve the shift in medical decision-making. Prioritization of COVID-19 cases in previous studies was mostly based on one patient characteristic, mainly including age, health conditions, and gender. This paper focuses on two patient characteristics at the same time. The probability that a COVID-19 patient who died had a given health condition in a given age group is calculated using the matrix completion technique based on the high-rank assumption of Bayesian matrices and the properties of Markov matrices. The calculated results show that doctors should give patients over 55 with respiratory diseases, patients over 65 with circulatory diseases, and patients over 65 with diabetes a higher prioritization in COVID-19 treatment.
A Multimodal Multi-Objective Evolutionary Particle Swarm Algorithm Based on Grey Prediction Selection Strategy
Authors: Liu Renyun , Wang Ruihong , Yao Yifei , Yu Fanhua
Published: December 2023

In view of the fact that the diversity of the objective space of multimodal multi-objective optimization will decrease with the increase of the diversity of the decision space, and it is unable to identify all pareto optimal solution sets, this paper proposes an evolutionary particle swarm optimization algorithm based on the gray prediction selection strategy to solve this problem. First, the historical optimal individuals and the neighborhood optimal individuals are selected by using multivariable gray prediction to improve the diversity of the target space; Secondly, the index based ring topology is used to update the neighborhood optimal archive, induce a stable ecological niche, and identify more pareto optimal solution sets; Finally, the non dominated special crowding distance is used as a density measure in the decision space and objective space to identify more pareto optimal solutions. In the experimental stage, 11 MMO test functions are selected and compared with four classic multimodal optimization algorithms. The results show that the proposed algorithm can identify all pareto optimal solution sets in the decision space and maintain good convergence and diversity in the objective space.
Influence of Step-Feed Ratio on the Nitrogen Removal Efficiency of Two-Stage AO Process in the Treatment of Municipal Sewage with a Low C/N Ratio
Authors: Li Baohua , Fan Huijun , Liu You
Published: December 2023

The present study was envisaged to develop a step-feed two-stage AO process for the removal of nitrogen via biological methods in conformity with regulations for the discharge of low-C/N-ratio municipal wastewater. The carbon source was preserved by setting a preliminary anoxic tank and reducing the content of dissolved oxygen in the effluent of oxic tank 1. The effect of step-feed ratio on the removal rate of nitrogen was investigated. The results showed that the COD removal rate was not significantly affected by the step-feed ratio, and COD concentrations in the effluent were reduced to lower than 30 mg/L in all the samples. The removal rate of the ammonia nitrogen and total nitrogen were obviously affected by the step-feed ratio. When the step-feed ratio of anoxic tank 1 was set to 70, 80, and 90%, the concentration of the ammonia nitrogen and total nitrogen in the effluent was 1.49, 17.57, 0.52, 13.24, 0.31, and 10.28 mg/L, respectively, and the removal rates reached 96.60, 63.58, 98.77, 72.17, 99.27, and 78.74%, respectively. The removal rate of ammonia nitrogen and total nitrogen exhibited an increase with an increase in the step-feed ratio of anoxic tank 1. The removal rate of total phosphorus in the step-feed two-stage AO process was as low as 34.72%. When polyaluminium chloride (PAC) was added to the pipeline connecting oxic tank 2 and secondary sedimentation tank, the concentration of total phosphorus in the effluent was reduced to lower than 0.5 mg/L. The quality of the municipal wastewater with a low C/N ratio could attain the 1A-level discharge standards after the treatment with a combination of step-feed two-stage AO process and chemical phosphorus-eliminating process.
Dynamic Analysis of a Discrete Predator-Prey Model with Increased Density of Both Predator and Prey
Authors: Cen Yong-Xin , Li Ming-Shan , Jiang Zhen-Kun , Li Wan-Ying , Wang Song-Bo , Zhou Xiao-Liang
Published: December 2023

We study the dynamical property of a discrete predator-prey model with increased density of both predator and prey. We survey the existence conditions and stability of the equilibrium points by using the bifurcation theory. We investigate N-S bifurcations at the positive equilibrium point. Finally, We provide a biological explanation for our results.
FundRecLLM: Fund Recommendation Based on Financial News and Research Analyst Report
Authors: Yang Guang , He Peiyang , Liu Xuefeng
Published: December 2023

Adopting AI in financial advisory is a challenging task as there exists multiple sources of information to digest and interpret. Such information consumption process are very lengthy for financial advisors, reducing the efficiency and timeliness for their advice and recommendation given to their clients. In this work, we introduce a multi-step framework that consumes and combines news and industry-focused fund research analyst report to assist in fund recommendation process using Large Language Models (LLMs). To quantitatively evaluate the efficacy of the approach, we track the weekly and monthly market performance of representative industry-focused fund after news and report released date, and compute a Normalized Discounted Cumulative Gain (NDCG) score between the rankings of the fund performance and recommendation rating scores. We find that utilizing analyst report and self consistency in the framework increase the NDCG score from 0.72 to 0.93 comparing to consuming news only without self consistency, based on the time frame of our experimental evaluation.
Hyperparameter Adaptive Neural Network Model for E-Commerce Sales Prediction
Authors: Zhao GuangLu , Tian Ran , Wang JingXia
Published: December 2023

Sales forecasting plays a vital role in the daily operations of e-commerce companies, impacting market assessment, operational planning, and supply chain management. As the market is constantly changing, accurately predicting sales is a critical challenge that e-commerce companies need to urgently address. However, traditional statistical forecasting methods have disadvantages such as long run times, low accuracy, weak generalization, and strong data periodicity, which lead to unnecessary losses for companies. We propose the QLBiGRU model that utilizes the reinforcement learning Q-Learning algorithm combined with BiGRU to improve forecasting accuracy. Automatic parameter optimization technology is also used to reduce training time and demand for hardware resources, thereby enabling enterprices to accurately analyze the market and make informed decisions.
RM-GAN: Region Attention Mechanism and Multi-Scale Features for Respirator Defect Generation
Authors: He Qiang , Li Xuewu , Liu Yang , You Xin , Li Bing , Wang Yufeng , Xiao Yangjie
Published: December 2023

As a key component to ensure the efficient and safe operation of the transformer, the substation respirator’s performance and status have a direct impact on the overall safety of the power system. Aiming at the problem that the defect characteristics of respirators are diverse and unbalanced, this paper proposes a respirator defect generation method based on a regional attention mechanism and multi-scale features, called RM-GAN. First, based on the structural characteristics of the respirator, the model adopts a feature-preserving image preprocessing method and introduces a regional attention mechanism to improve the precise positioning and modeling of respirator components. Then, by combining the multi-scale features of the respirator in the discriminator, defect characteristics can be captured on respirators of different scales, thereby enhancing the accuracy and robustness of the generated results. Finally, experiments were conducted on a custom-built dataset of respirator defects to validate the effectiveness of RM-GAN. The results indicate that RM-GAN is capable of generating high-quality images of respirator defects.
Innovative Approach to Children’s Desk Lamp Using Stable Diffusion Technology
Authors: Li Tianxin
Published: December 2023

The emergence of AI intelligent drawing technology has completely revolutionized the traditional model of the design industry. With the help of smart technology, designers can quickly generate a large number of creative images in various styles and content. This greatly enhances design efficiency and has a revolutionary significance in promoting design innovation. This article focuses on the creative process in the design of children’s table lamps. It uses the AI drawing software “Stable Diffusion Web UI” based on deep generation technology as a tool to combine the professional skills of designers with AI drawing technology to achieve the creative design goal of personalized children’s table lamps. The specific content and methods include: (1) building a lamp image library, quantitatively describing the design style of children’s table lamps, extracting composition, and summarizing the different structural-semantic features of lamps. (2) Generating feasible creative lamp product ideas based on the Stable Diffusion Web UI software. Through research and exploration, the style description and structural characteristics of children’s table lamps were summarized, and the parameters for generating creative lamp ideas using the Stable Diffusion Web UI software were determined. This has been helpful in furthering the integration of artificial intelligence and product design.
Bayesian Updating Using DBSCAN-Based Hybrid Importance Sampling and Subset Simulation
Authors: Liao Yihao
Published: December 2023

A novel methodology for Bayesian updating is proposed by seamlessly integrating the power of DBSCAN, an unsupervised learning algorithm renowned for its ability to identify dense clusters in data, with the concept of importance sampling. While traditional Bayesian updating methods heavily rely on supervised learning and labeled data, our approach unleashes the true potential of unsupervised updating. Through the utilization of DBSCAN, we obtain remarkable insights by effectively extracting similarities and patterns within the data, allowing for a comprehensive understanding of the underlying structure. By incorporating importance sampling, we intelligently select representative samples, thus enhancing the accuracy and efficiency of the Bayesian updating process. Empirical validation reinforces the profound impact of our approach, demonstrating its ability to achieve unprecedented levels of accuracy and efficiency in Bayesian updating, all while negating the necessity of labeled data. Consequently, our pioneering method enriches the field of unsupervised learning in the context of Bayesian updating, offering novel avenues for exploratory data analysis and informed decision-making.
Organizational Homeostasis: A Quantum Theoretical Exploration With Bohmian And Prigoginian Systemic Insights
Authors: Leong David
Published: December 2023

This research investigates the intricate dynamics of systemic well-being within organizational frameworks, intertwining Bohm’s idea of ‘wholeness’ and Prigogine’s perspective on equilibrium. By rooting its exploration in wave analogies and quantum principles like superposition, non-locality, and entanglement, the study highlights the fluctuation (far-from-equilibrium) in systems around a balanced state. Contrasting conventional ideas of stability, Prigogine emphasized the constant divergence systems experience while pursuing equilibrium.

Within this context, organizations demand versatile strategies aligned with dissipative structures, utilizing external energies to uphold internal coherence amidst potential chaos. Moreover, elevated through mindful strategies, corporate consciousness offers insights into temporal dynamics, enhancing decision-making, resilience against market fluctuations, and fostering an enriched organizational ethos rooted in present awareness. Consequently, the emergent corporate entity, invigorated by this heightened consciousness and need for corporate alignment and coherence, excels in present conditions and is adept at anticipating and addressing future challenges. This paper introduces the ‘MCE’, underscoring the essence of mindfulness as a cardinal strategy to ensure holistic organizational well-being and enduring sustainability.
Mahasneh Theory 2023 to Develop Students’ Vocational Attitudes and Inclinations
Authors: Mahasneh Omar
Published: December 2023

The current article aims to explain the philosophy of the Mahasneh 2023 theory to develop students’ vocational attitudes and inclinations. The researcher used the descriptive analytical method by analyzing books and websites to present this theory to those interested in the field of professional guidance and counseling. This theory consists of four stages: The first stage is the stage of immersion and play from the age of one year to less than six years; the second stage is the stage of preparation and awareness from the age of six years to nine years; the third stage is the realistic stage from the age of ten years to fifteen years; and the fourth stage is the experimental stage from the age of sixteen years and up to life.
Clinical and Subclinical Bovine Mastitis: Staphylococcus aureus Isolation and Identification from Dairy Farms Located in and Around Hawassa Town, Southern Ethiopia
Authors: Hawas Nebyou Moje , Abebaw Birtukan
Published: December 2023

BACKGROUND: Mastitis is an expensive disease of dairy cattle in most countries, including Ethiopia. The most commonly recovered bacterial pathogen from mastitis milk is _Staphylococcus aureus_ in dairy herds worldwide, with huge economic losses in the dairy industry.

OBJECTIVE: To isolate and identify _Staphylococcus aureus_ from bovine mastitis milk. Additionally, risk factors associated with the occurrence of mastitis were determined.

METHODS: A cross-sectional study was conducted from March 2021 to August 2021 on dairy farms in and around Hawassa town. A total of 250 lactating cows were examined for clinical and subclinical mastitis from randomly selected dairy farms. Clinical signs and the California Mastitis Test (CMT) were used to identify clinical and subclinical mastitis, respectively.

RESULTS: During the study period, 50.8% of cows had mastitis, of which 4.8% and 46% showed clinical and subclinical mastitis, respectively. The quarter-level prevalence was 27.4%; of which the clinical form was 2.9%, while the subclinical mastitis was 24.5%. Logistic regression analysis showed a significant association among cows of different age groups, lactation stages, and farm hygienic status with the occurrence of mastitis (p < 0.05). A bacteriological study targeting _S. aureus_ was conducted with all (n=127) milk samples collected from clinical and subclinical mastitis cows. Bacterial identification targeting _S. aureus_ was done, and this agent was identified in 60 (47.2%) milk samples. This pathogen was found to be higher (47.8%) in subclinical than in clinical (41.6%) mastitis.

CONCLUSION: This study showed that mastitis was prevalent in dairy cattle of the study area, with a higher case of _S. aureus_ in subclinical mastitis. However, the recovery of _S. aureus_ in nearly half of the mastitis milk indicated the possible presence of other pathogens. Therefore, further study to recover other potential pathogens commonly causing mastitis can be a good approach.
THE USE OF CADAVERS IN HUMAN ANATOMY CLASSES. TRADITIONAL METHOD, OUTDATED OR INDISPENSABLE?
Authors: Costa Marcos , Costa Sergio , Oliveira Janyeliton , Sobral Felipe , Furtado Gil , Maia Catarina
Published: December 2023

Introduction: It is known that practical classes with a corpse awaken different feelings among students and it is common to observe behaviors of fear, disgust at the touch, anxiety, euphoria and/or deep respect. Records of corpse manipulations predate the sec. III a. Even so old, the dissected human body is still the most extraordinary, most complete and most complex resource among the tools currently used in teaching anatomy. Despite this, the use of cadavers in practical classes has been gradually replaced by other resources such as artificial models, even in medical graduation courses, raising discussions and calling into question the quality of training for new professionals. Objective: to analyze differences in the perception and quality of use of human anatomy content by students with and without the use of human cadavers in medical curricula. Methods: This study is a descriptive research, of the Integrative Literature Review (RIL) type. The search resulted in 21 articles, of which 10 articles form the corpus of this review. Results and Conclusion: Like a tree that bears sweet fruit, human dissection is always being stoned even by those who delight in its knowledge and secrets. Its importance surpassed fear, taboos, superstitions, dogmas, laws and time. It is indeed the basis of anatomical knowledge, resisting all adversities over time and remaining as the foundation of the training of health professionals from the most different segments.
Les Tipulidae de Corse : résultats du programme La Planète Revisitée en Corse et aide à l’identification des femelles des espèces du sous-genre Lunatipula recensées en Corse (Diptera)
Authors: Tillier Pierre
Published: December 2023

The Tipulidae of Corsica: results of the project Our Planet Reviewed in Corsica and aid to the identification of females of the Corsican species of Lunatipula (Diptera). Records of Tipulidae collected during Our Planet Reviewed in Corsica 2019-2021 are presented. Nephrotoma saccai (Mannheims, 1951) and Tipula (Tipula) plumbea Fabricius, 1781, are mentioned for the first time from Corsica. The Cyrno-Sardinian taxon Tipula (Lunatipula) sardolivida Mannheims & Theowald, 1968, n. stat. is elevated to species rank. Photographs of female terminalia of four species of the subgenus Lunatipula Edwards, 1931 are published for the first time.
Our Planet Reviewed in Corsica 2019-2021: a large-scale survey of neglected biodiversity on a Mediterranean island
Authors: Touroult Julien , Ichter Jean , Pollet Marc , Pascal Olivier , Poirier Eddy , Rougerie Rodolphe , Decherf Blandine , Andrei-Ruiz Marie-Cécile , Hugot Laetitia , Dusoulier François
Published: December 2023

From 2019 to 2021, scientific field campaigns have been organised in Corsica by the Muséum national d’Histoire naturelle, the Office français de la biodiversité and the Collectivité de Corse as part of the “Our Planet Reviewed” naturalist exploration programme. This paper presents the context, the state of biogeographical and taxonomic knowledge prior to our expeditions, and the objectives, the methods and the first results obtained. The aim was to establish a modern survey of the species present in a selection of sites representative of different Corsican ecosystems, and to further develop the natural history collections through depositing new specimens and species with associated standard DNA barcodes, useful for their identification. Over a period of three years, nineteen sites were surveyed with a semi-standardised protocol and a large-scale trapping scheme was organised in three of these. Sampling efforts focused on forest habitats at higher altitudes and on coastal dune and lowland marshland habitats. A vast array of methods was used to collect invertebrates, with a specific effort on flightinterception traps and pan traps. A total of 34 experts participated to the field surveys and more than 80 further contributed to the study of the specimens. Occurrence data are available in the Inventaire national du patrimoine naturel (http://www.inpn.fr) and, for specimens processed through DNA barcoding, specimen and DNA sequencing data will be accessible in the Barcode of Life datasystems (BOLD : http://www.boldsystems.org). In early 2023, the assembled datasets included 31,100 occurrence data for 3,900 taxa of terrestrial arthropods, representing a 53% increase in publicly available data for the island. More than 6,800 DNA barcode sequences have been produced for arthropods, representing a 14-fold increase in available sequences of Corsican insects compared to those available before the start of the programme. So far, these efforts resulted in producing the first Corsican records for 148 species and in the description of 12 species new to science.
Contribution de la mission La Planète Revisitée à la connaissance des araignées : 33 espèces nouvelles pour la Corse, dont deux nouvelles pour la faune de France (Arachnida, Araneae)
Authors: Déjean Sylvain , Jacquet Claire , Canard Alain
Published: December 2023

Contribution of the mission Our Planet Reviewed to the knowledge of spiders: 33 species new to Corsica, including two species new for the French fauna (Arachnida, Araneae). As part of Our Planet Reviewed in Corsica 2019-2021 project, 364 spider taxa were inventoried. This mission made it possible to update the list of species recorded on the island: 33 species of spiders are added to the Corsican araneofauna, which goes from 687 to 721 taxa; two species are also new to the fauna of France, Orchestina longipes Dalmas, 1922 (Oonopidae) and Pseudeuophrys perdifumo van Helsdingen, 2015 (Salticidae). A comparison of sampling techniques is proposed, and for some new taxa comments on ecology or taxonomy are added. Finally, the main groups of species by type of habitat studied and a zoom on the “heritage” species are presented, in view of the recently published National Red List.
INOVASI PEMBELAJARAN: MENGENALKAN FLEXIBLE LEARNING SEBAGAI PINTU GERBANG BLENDED LEARNING BAGI MAHASISWA BARU UKSW
Authors: Permatasari Carolina Lita
Published: December 2023

Konsep Blended Learning sebagai alternatif pendidikan yang menjanjikan dengan menggabungkan pembelajaran daring (online) dengan interaksi tatap muka (offline), sehingga membentuk pengalaman belajar yang komprehensif dan terintegrasi. Blended Learning memadukan konsep pembelajaran berbasis teknologi sehingga dibutuhkan platform pembelajaran atau e-learning untuk dapat  menyampaikan pesan, dapat merangsang pikiran, perasaan, dan kemauan mahasiswa juga untuk memudahkan serta mewujudkan tercapainya pemahaman materi kepada mahasiswa, menciptakan suasana pembelajaran efektif, kreatif dan menciptakan kemampuan penguasaan teknologi pada diri mahasiswa. UKSW menyediakan Learning Management System Flexible Learning (F-Learn) sebagai platform pembelajaran. Fitur yang disediakan perlu dipelajari oleh mahasiswa terutama mahasiswa baru sehingga diperlukan pendampingan dan pelatihan bagi para mahasiswa baru UKSW. Melalui penerapan flexible learning, pendekatan blended learning diperkenalkan secara holistik, memberikan pengalaman belajar yang terpadu antara pembelajaran daring dan tatap muka. Peran dosen sebagai fasilitator memiliki peran penting dalam membimbing mahasiswa dalam memahami dan mengakses platform flexible learning. Inovasi pembelajaran dapat membuka pintu gerbang menuju pembelajaran blended yang lebih efektif dan interaktif. Mahasiswa diberikan kesempatan untuk mengembangkan keterampilan adaptasi dalam lingkungan pembelajaran yang semakin beragam untuk menghadapi tuntutan pendidikan tinggi di era digital.
Assessment of Spatial Clustering of Socioeconomic Variables and Facilities at District Level: The Case of Körfez-Derince-İzmit
Authors: GERÇEK Deniz
Published: December 2023

Spatial clustering of socioeconomic variables and socio-spatial segregation is a result of the differentiation in choices of the living environment of population groups that differ from each other in their socioeconomic status. Typical examples of spatial segregation are the residential areas of the low-income groups, commonly composed of unqualified immigrants, in certain areas of the city, and higher socioeconomic status communities occupying places isolated from the rest of the society. The present study, conducted on the residential areas of an industrialized city that was subject to mass immigration. Aim of the study is to evaluate if there is a spatial clustering of the districts with similar socioeconomic characteristics and if there is a clustering of facilities, services, and housing to understand and quantify the degree of segregation. The interrelationships among the socioeconomic variables and the services provided were also evaluated to determine the deprived districts of low socioeconomic status and insufficient services. Empirical findings suggest that as in most of the metropolises of Turkey, there is a socio-spatial segregation that exhibits a pattern. The socioeconomic indicators that represent a micro level show a clustering across the urban space whereas the distribution of services per district that represent a macro level doesn’t show a substantial clustering. However, the low socioeconomic status districts are found to be characterized by low amount and diversity of services provided. This relationship of micro and macro level indicators for the case might have well contributed to the deepening of segregation, particularly for low socioeconomic status districts.
Az iszlám radikalizálódás pszichológiai háttere
Authors: Farkas Johanna
Published: December 2023

A rendvédelmi hatóságok az utóbbi évtizedben viszonylag sajátos kihívással szembesülnek, az iszlamizmushoz kapcsolódó terrorcselekmények újszerű megjelenési módjaival. A tanulmányban pszichológiai megközelítésben tekintem át az iszlám radikalizálódás folyamatát, amelyben jelentős szerepet játszik az identifikáció és a szocializáció. Szaktanulmányok alapján felvázoloma pszichológiai jelenségvilágot és rendészeti beavatkozási pontjait, illetve kiemelem az elkövetők mentális zavarral való érintettségének szerepét. A rizikófaktorok jellegét esettanulmányokon keresztül mutatom be. Összességében a szélsőséges iszlám ideológiát képviselő és terrorcselekményt elkövető személyek gondolatait, motivációit, érzelmeit és viselkedését a tágabb társadalmi és kulturális hatások alakítják. Hangsúlyozom, hogy az elkövetők körében nem gyakoribbak a mentális zavarok az átlag populációhoz képest. A pszichológiai kontextust ajánlom a felderítés és a nyomozati tevékenység hatékonyságának növeléséhez.
A Közigazgatás és rendészet című konferenciáról
Authors: Balla Zoltán
Published: December 2023

2023. március 24-én a Nemzeti Közszolgálati Egyetem Rendészettudományi Kar Igazgatásrendészeti és Nemzetközi Rendészeti Tanszéke a Magyar Rendészettudományi Társasággal közösen konferenciát rendezett Közigazgatás és rendészet címmel. A Magyar Rendészet az alábbiakban adja közre az elhangzott referátumokat. A megnyitót dr. Balla Zoltán tartotta.
Diversity of Theatrical Hit Animated Films Supply on OTT Platforms: Focusing on Genre and Nationality
Authors:   Academic Association of Global Cultural Contents, Chon Bum Soo
Published: December 2023

This study aims to examine the diversity of animation supply on OTT platforms using the top 50 domestic and international animated films in terms of box office success as a basis. The key findings are as follows. Firstly, subscription-based OTT services generally tend to offer only popular selected animations. On the other hand, VOD-based OTT services were found to provide most hit animations through purchasing or renting options. Subscription-based OTT services had lower content scale and diversity compared to VOD-based OTT services. Secondly, when examining the distribution by nationality, animations from three countries including Japan, the United States, and Korea accounted for 68.0%. When looking at the specific OTT platform services, Japanese, American, and Korean animations had a high supply rate across various OTT services, including Wavve Purchase (83.3%), Apple TV (75.0%), Disney Plus (100.0%), Watcha (66.7%), and Netflix (70.0%). Thirdly, when examining the distribution by genre, adventure, fantasy, and action accounted for 64.0%. When observed on specific OTT platform services, the supply rate of animations within these three genres was high on Wavve Purchase (66.7%), Apple TV (62.5%), Disney Plus (66.7%), Watcha (76.7%), and Netflix (60.0%).
Realizing Justice for Conventional Media in Indonesia through Publisher Rights
Authors: Syafruddin  , Syahriah Rabiatul , Andre
Published: December 2023

Digital platforms are currently posing a threat to conventional media's ability to remain sustainable. According to remarks made by President of the Republic of Indonesia Ir. H. Joko Widodo on February 11, 2023, during his working visit to Medan City in celebration of National Press Day, digital platforms account for 60% of media advertising spending in Indonesia. Regulations are therefore required to safeguard Indonesia's conventional media sector. The Press Council has taken the lead in proposing a Draft Presidential Regulation on the publisher's rights, or the responsibilities of digital platform companies in supporting quality journalism. the current draft law regarding publisher rights law in Indonesia and comparing it to the Canadian and Australian experience in the introduction of similar regulation.
SOCIALIZATION OF MANUAL AND ELECTRONIC MEDICAL RECORD SYSTEMS AT PUSKESMAS SEI. NANAM SOLOK REGENCY
Authors: Kamal Syamsul , Mardi Yuli , Prihatin Endang
Published: December 2023

The use of the Electronic Medical Record System (RME) in health service facilities is a need and demand carried out by health workers, which is related to Permenkes No. 24 of 2022, that RME has been used before December 31, 2023, in all Health Service Facilities. At the Sii Health Center. Nanam Kab. Solok, medical record activities are still carried out manually. The problem is that medical record staff do not understand electronic medical records which will be implemented in health care facilities throughout Indonesia. Once the importance of RME, RME Socialization, and the Manual Medical Record System was carried out at the Sei Health Center. Nanam Kab. Solok on September 22, 2022, there were 12 participants, namely dr, P-Care Health Center, and medical record staff at Sei Health Center. Nanam Kab. Solok and student Apikes Iris. During this socialization, it was explained to participants of the RME system, Manual Medical Record (RMM), Legal Basis for Medical Records, advantages and disadvantages of manual and electronic RME systems, Obstacles and challenges of RME, participants who attended the socialization listened to information with enthusiasm and enthusiasm, in elaborating on this material, some asked questions and discussions who did not understand Manual and Electronic Medical Records. The purpose of this activity is to make the puskesmas staff, especially the medical record department, understand and understand RME and RMM.
The Effect of Audit Opinion, Reputation of Kap, Auditors and Audit Committee on the Timeliness of Financial Reports
Authors: Sariningsih Eka , Yuliana Yuliana , Lukman Iing , Safitri Hani
Published: December 2023

The purpose of this study is to examine the impact of audit opinions, the reputation of KAPs, auditors, and audit committees on the timeliness of financial reporting in manufacturing companies in the basic and chemical industrial sectors listed on the Indonesia Stock Exchange (IDX) for the 2019-2021 period. in this study the sampling technique used purposive sampling. The sample for this research is 135 data from 45 manufacturing companies in the basic and chemical industry sectors that are registered and submitting financial reports on the IDX for the 2019-2021 period. The analysis technique for testing is logistic regression. The finding is reveal that audit opinion, and KAP reputation has a positive and significant effect on the timeliness of financial reporting, while the auditor and audit committee have no significant effect on the timeliness of financial reports.
Analisis Rasio Keuangan Dalam Menilai Kinerja Keuangan Pada Industri Kosmetik Terdaftar BEI Periode 2022
Authors: Tamtama Noviadry Nur , Rahmawati Riantisari
Published: December 2023

The development of the beauty industry increases every year. Even during the Covid-19 pandemic, this industry remained stable in facing the crisis. This condition certainly makes many investors look to invest their capital in this industry. The beauty industry listed on the Indonesian Stock Exchange (BEI) is PT. Mustika Ratu Tbk, PT. Martina Berto Tbk and PT. Unilever Indonesia Tbk. In order to help investors assess company performance, it is necessary to carry out financial ratio analysis. Financial ratio analysis in this study is liquidity analysis, asset management analysis, debt management analysis, profitability analysis and market value analysis. This study is qualitative in nature with data analysis using financial ratio analysis. The results of this study provide the conclusion that if the analysis of the cosmetics industry in 2022 uses industry averages according to Brigham Houston, there are several components that are above standard, such as profit margin and ROA owned by PT. Mustika Ratu Tbk and PT. Unilever Indonesia Tbk above standard. PT fixed asset turnover. Muatika Ratu Tbk which is above standard. If analyzed through comparisons between companies that are still in the same industry, the company PT. Unilever Indonesia Tbk has performed quite well in generating company profitability. Proven by the fairly large profit margin and ROA ratio.

Keywords: Liquidity, Asset management, Debt management, Profitability, Market value
Implementasi Pelayanan Berbasis Elektronik di Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu di Kota Batam
Authors: Sombo Agustina , Dompak Timbul
Published: December 2023

PTSP (One Stop Integrated Service) is an online licensing management system that makes use of a website-based application designed to deliver administrative public service online. The goal of this research is to examine the adoption of e-services and integrated one-stop services in investment offices. The methods employed are qualitative research approaches such as interviews, documentation, and observational data collecting. The results revealed that the deployment of e-services to improve public services in Batam City DPMPTSP was extremely good. High system security by using firewalls, passwords, and email verification. Development of Digital Ecosystem through OSS or Easy PTSP Online system that can enrich user experience and support the growth of digital economy in Batam City. DPMPTSP Batam City ideally provides quality services. Efficiency on the input side of the ease of accessing the PTSP website is clear and easy to find by license applicants. At PTSP Batam City, the licensing process through the online PTSP Easy System is now fast, cheap, simple, clear, guaranteed, and at an affordable price. Increased Competitiveness of Batam City through Online Single Submission (OSS) digital system. With OSS, businesses can avoid and reduce duplication of licensing processes. Data security Online licensing and non-licensing services also guarantee not to share the applicant's personal information with other parties or sites that are not related to the service.
The Impact of Procuring Per Offer, Turnover of Absolute Resource, Return on Value and Debt Asset Ratio on Offer Value of Maufactur Area Recorded on the Indonesia Stock Trade Period 2019 - 2022
Authors: Purnama Marselia , Purnama Octavianti
Published: December 2023

The value of the money is going to decrease because of inflation, so we have to invest in an investment asset. The investment tool explored in this research is c-stock which uses financial ratios to determine whether financial ratios are correlated with stock prices in order to identify capital intensive companies. This research uses ratios such as EPS TATO ROE and asset or debt ratio to provide profitability. This study has been carried out in the case of manufacturing companies listed on IDX, using Eviews version 10 as a data processing tool. The primary sampling method was applied in this study, as it is the standard of sampling. From 2019 to 2022 the samples were six companies with research data and therefore 32 observation reports have been collected. Because of the review, it is known that (1) Profit per share emphatically affects stock costs. The meaning of 00154 demonstrates this so H1 is acknowledged. ( 2) The complete resource turnover rate essentially affects the stock cost as confirmed by the meaning of 01040 so H2 is dismissed. ( 3) Return on value emphatically affects stock cost ( ) which is demonstrated at the importance level 00390 so H3 is acknowledged. ( 4) The obligation to resource rate affects share costs, this is validated by a critical worth of0.0719 so H4 is dismissed;( 5) accomplished contemporaneous Experimental outcomes calculation results F of3.103040 with probability0.031819 can be closed in the event that all factors have a huge impact contemporaneously on costs of stock. The aftereffects of the retrogression examination show the adjusted worth( r2) of0.213441, implies that varieties in Profit per Offer, Advancement of All out Resource, Return on Value, and Obligation to implies rate can make sense of the21.34 of changes in stock value, the remaining78.66 is made sense of not analyzed by different factors in this review.