bluuebunny/crossref_metadata_2025 huggingface dataset:
Indonesia’s export growth decomposition in ASEAN and ASEAN dialogue partners
Authors: Setyoko Nur Rakhman , Rokhim Rofikoh , Rohman Ibrahim Kholilul , Rofii Muhammad Syaroni
Published: October 2024

Purpose ― This paper evaluates Indonesia's trade integration efforts and their impact on export competitiveness from 1989 to 2021. It examines the evolution of trade arrangements, starting with the ASEAN Preferential Trade Arrangement (APTA) and progressing to bilateral agreements.Methods ― Based on Leamer and Stern, the Constant Market Share Analysis (CMSA) measures Indonesia’s export competitiveness over the years.Findings ― The results indicate no significant improvement in competitiveness during the analysis period, with export growth primarily driven by the effect of world growth. Although competitiveness did not shift markedly over time, it remained positive overall, suggesting a buffer effect during economic crises.Implications ― The paper suggests Indonesia should pursue deeper trade integration and unilateral economic reforms. Drawing on Korea’s experience, combining export promotion policies with trade agreements could enhance market access and foster internal competitiveness.Originality ― This study provides long-term insights into Indonesia’s export competitiveness amidst global trade integration efforts and offers policy recommendations based on the success of Korea’s trade reforms.
Caracterización del uso de plaguicidas en el cultivo de aguacate en Temascaltepec, México
Authors: Esparza-Jiménez Sherezada , García-Martínez Anastacio , Ramírez-García Jorge Javier , Vázquez-Armijo José Fernando , Sánchez-Meza Juan Carlos
Published: October 2024

La producción de aguacate en el municipio de Temascaltepec, Estado de México, se encuentra en constante crecimiento, lo cual supone un incremento en el uso de agroquímicos para el control de plagas. Sin embargo, la información respecto al tipo de plaguicidas empleados es limitada. En este trabajo se caracterizaron y tipificaron los plaguicidas utilizados en el cultivo de aguacate, realizando agrupamientos, con el fin de evaluar semejanzas, conocer la diversidad de ingredientes activos y el posible riesgo a la salud y al ambiente de 22 comunidades de Temascaltepec. Para lo anterior, se aplicó una encuesta en 96 huertas de aguacate (121 preguntas) y los datos se analizaron mediante componentes principales y análisis de conglomerados. Se obtuvieron cuatro grupos de productores, cuyas semejanzas se basan principalmente en la variedad cultivada, el tamaño del huerto, el tiempo en la actividad, la altitud y el tipo de suelo. Como resultado, se encontró el uso de 32 ingredientes activos, de los cuales 26 son catalogados como altamente peligrosos en México. Los plaguicidas que se utilizan con mayor frecuencia son malatión, abamectina y lambda-cialotrina. Los plaguicidas de mayor toxicidad utilizados son metomilo, glifosato, metamidofos, paraquat, dimetoato y terbufos. Cabe mencionar que la mayoría de los agricultores no atienden los protocolos de aplicación y dosificación de los plaguicidas y, aunque tienen conocimiento sobre el etiquetado y almacenamiento de los productos, no lo realizan correctamente. La información obtenida del presente estudio permitirá orientar sobre el uso de estas sustancias para mejorar las alternativas de producción, mercados y reducción de riesgos a la salud.
A System of Tensor Equations over the Dual Split Quaternion Algebra with an Application
Authors: Yang Liu-Qing , Wang Qing-Wen , Kou Zuliang
Published: October 2024

In this paper, we propose the definition of block tensors and the real representation of tensors. Equipped with the simplification method, i.e., the real representation along with the M-P inverse, we demonstrate the conditions that are necessary and sufficient for the system of dual split quaternion tensor equations (A*NX,X*SC)=(B,D) when its solution exists. Furthermore, the general expression of the solution is also provided when the solution of the system exists and we use a numerical example to validate it in the last section. To the best of our knowledge, it is the first time that the aforementioned tensor system has been examined on dual split quaternion algebra. Additionally, we provide its equivalent conditions when its Hermitian solution X=X* and η-Hermitian solutions X=Xη* exist. Subsequently, we discuss two special dual split quaternion tensor equations. Last but not least, we propose an application for encrypting and decrypting two color videos and we validate this algorithm through a specific example.
Normative Data of Extended High Frequency Audiometry in Normal Hearing Subjects with Different Aged Groups
Authors: Luengrungrus Kittiphorn , Thanawirattananit Panida , Teeramatwanich Watchareporn
Published: October 2024

Background: Conventional audiometry assesses hearing in the frequency range of 250–8,000 Hz, while humans can detect sounds from 20–20,000 Hz. Hearing sensitivity above 8,000 Hz can be assessed through “Extended high-frequency audiometry (EHFA)”, which is useful for early detection and monitoring of hearing loss and counseling for tinnitus patients. Despite its usefulness, age significantly affects hearing sensitivity. Currently, there are no standard hearing thresholds in the EHF range categorized by age groups in Thailand. This study aimed to determine normative EHFA data across different age groups in a healthy Thai population. Methods: The study included 134 participants aged 18–70 years, categorized into five age groups. All participants had normal hearing thresholds and type A tympanograms bilaterally. Following this, EHFA measurement was performed. Results: Across all age groups, there was an observed increase in median hearing thresholds as age increased. In comparison, no significant difference in median hearing thresholds was found between individuals aged 18–30 and >30–40 years. However, those over 40 years had significantly higher median thresholds across all frequencies compared to those under 40 years (p40–70 years. Median hearing thresholds for those aged 18–40 was ≤20 dB HL across most frequencies, except at 16,000 Hz (30 dB HL). In the >40–70 age group, thresholds ranged from 20 dB HL at 9,000 Hz to 70 dB HL at 14,000 and 16,000 Hz. However, no significant differences were found in hearing thresholds between sexes and ear sides. Conclusions: This study establishes normative EHFA data for healthy Thai adults, appropriately divided into two groups (18-40 and >40-70 years) for clinical use. Further studies are needed to assess EHFA thresholds in populations with hearing loss-related risk factors.
Designing e-modules on mangrove species diversity leveraging local potential through pbl to foster environmental attitudes
Authors: Rachmawati Rizqi Nur , Rohman Fatchur , Novianti Vivi
Published: October 2024

This study aims to develop e-modules of mangrove species diversity as local potential in learning. The development model used is the Lee & Owens (2004) development model. There are five phases in the development of research, namely the analysis, design, development, implementation and evaluation. The used learning model is Problem-Based Learning by presenting authentic mangrove problems in Banten. The e-module that has been developed will be tested for validity, practicality and effectiveness so that it can be disseminated for student learning activities. E-modules are tested for validity by conducting a 100% material expert validation test, 98.77% media and teaching material validation results and 100% validation results from field practitioners. Before being used in learning, the e-module was tested for practicality with a one-on-one trial getting a score of 93.33%, a small group trial of 89.41%, a field trial of 86.2% and a field test of 95.04%. Based on the results of student response testing, it can be concluded that the e-module of mangrove diversity is practically used in learning. The results of effectiveness testing to see the improvement of students' environmental attitudes were analyzed. The results of effectiveness testing to see an increase in students' environmental attitudes are measured qualitatively with an N-Gain measurement of 0,46 which is included in medium effectiveness and quantitatively measured using a simple paired t test with p-value of 1.88 which means there is a significant difference before and after using e-module in learning.
Improving teaching quality: Development of the PjBL microteaching model for prospective biology teachers
Authors: Sadikin Ali , Rusdi Muhammad , Hasibuan Muhammad Haris Effendi , Siburian Jodion
Published: October 2024

Educational institutions prepare prospective biology teachers so they can carry out learning effectively and efficiently. However, there is a gap in meeting the needs for effective learning for prospective biology teachers. Based on a survey of 177 prospective teacher students, it was found that they preferred microteaching to be integrated with the project-based learning model. The aim of this research is to develop a PjBL-based microteaching model. The research method employed is Research and Development (R&D) using the ADDIE model. The research subjects were 36 fourth-semester students from the Biology Education Study Program who were enrolled in microteaching courses. The PjBL-based microteaching model has the syntax, (1) Instructional to the concept of microteaching, (2) plan, (3) teach, (4) feedback and reflection, (5) project collection, (6) project evaluation. Conclusion: This PjBL-based microteaching model is developed from microteaching and PjBL theories. The PjBL-based microteaching model for prospective biology teachers is deemed suitable for use, as indicated by validator assessments and small group and large group tests. Based on the results of the large group trials, it is evident that this model positively impacts the 4C skills of prospective biology teachers.
Successful Use of Orthodontic Aligners in a Young Brass Instrumentalist: A Case Report
Authors: van der Weijden Fawn N , Hazenberg Cees JM , Carvajal Monroy Paola L
Published: October 2024

This case report is about a 15-year-old male trumpet player. The boy’s teacher noticed that he contorted his face when playing high notes and thought that this could be due to his protruded upper front teeth; therefore, the teacher advised him to consult an orthodontist. The orthodontist
diagnosed an Angle Class II Division 1 malocclusion with a disto-occlusion of 1/4 premolar width, enlarged overjet, palatal bite, spacing of the upper front teeth, and mild crowding of the lower front teeth. The young trumpet player was orthodontically treated with aligners. During the treatment,
he did not experience any discomfort or interference with his embouchure. He experienced a marked improvement in his trumpet performance, particularly after his enlarged overjet was corrected. This treatment approach is promising for other brass players, although not all malocclusions can
be easily treated with aligners.
Expandable Intravertebral Titanium Implants for Thoracolumbar Burst Fractures Without Neurological Deficits
Authors: Yeung Chi-Yung , Chang Ming-Chau , Chou Po-Hsin , Wang Shih-Tien , Lin Hsi-Hsien , Yao Yu-Cheng , Liu Chien-Lin
Published: October 2024

Objective: A thoracolumbar burst fracture (TLBF) is defined as the failure of the anterior and middle columns of the vertebra due to high-energy trauma, such as motor vehicle collisions and falls from heights. Debate has continued for decades regarding the standard treatment, especially for TLBFs without neurological deficits (TLBF-WONDs). The aim of this study was to understand the role of expandable intravertebral titanium implants (EITIs) in treating TLBF-WONDs.Methods: We included patients aged 18–65 years who presented at our hospital Emergency Department with severe back pain (visual analogue scale [VAS] score ≥ 8), were neurologically intact, were diagnosed with TLBF-WOND by either computed tomography or magnetic resonance imaging, underwent percutaneous bilateral transpedicular EITI implantation, and were followed-up for ≥12 months. Radiological and clinical outcomes were analyzed.Results: Thirty patients satisfied the study inclusion criteria, including 9 men and 21 women, with an average age of 48.2 years. Thirteen A3 and 17 A4 burst fractures were included. The mean duration of hospitalization was 3.3 days. The mean follow-up period was 4.4 years. All patients exhibited significant improvements in radiographical (anterior, middle, and posterior vertebral heights); vertebral kyphotic angle (p<0.001); and functional outcomes (VAS and Oswestry Disability Index scores, p<0.001). One case of cement leakage into the paraspinal muscle was observed; however, no major complications occurred.Conclusion: Percutaneous bilateral transpedicular EITI placement with cement augmentation under local anesthesia may be an effective strategy for the treatment of high-energy traumatic TLBFs with neurological integrity.
Novel Image-Analytic Approach Reveals New Insights in Fine Tuning of Slime Mould Network Adaptation
Authors: Rosina Philipp , Grube Martin
Published: October 2024

This study introduces a novel methodology to explore the network dynamics of Physarum polycephalum, an organism celebrated for its remarkable adaptive capabilities. We used two innovative techniques to analyse its growth behaviour and network modifications under varying stress conditions, including starvation and differential epinephrine exposures. The first method provided a quantitative assessment of growth and exploration over time, revealing significant reductions under stress. The second method provided a detailed examination of vein diameter and contraction patterns, illuminating the physiological adjustments P. polycephalum undergoes in response to environmental challenges. By integrating these approaches, we were able to estimate the total network volume of the organism, with a focus on the normalised estimated volume, unveiling insightful aspects of its structural adaptations. While starvation reduced the volume, indicating a significant structural compromise, low and high epinephrine concentrations maintained a volume-to-area ratio comparable to the control. These methods, unprecedented in their application to P. polycephalum, enhance our ability to measure complex biological phenomena and offer a replicable framework for future research in similar systems. This research establishes a foundation for exploring complex network behaviours in biological systems, highlighting the potential of the organism in bioengineering and adaptive network design.
WITHDRAWN: Performance of Plastic Aggregate along with Steel Slag in the Concrete through the Mechanical Tests and Microstructural Analysis
Authors: Rani Kavita , SENTHIL KASILINGAM
Published: October 2024

The full text of this preprint has been withdrawn by the authors due to author disagreement with the posting of the preprint. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
Computational Mechanisms of Learning and Forgetting Differentiate Affective and Substance Use Disorders
Authors: Hakimi Navid , Chou Ko-Ping , Stewart Jennifer , Paulus Martin , Smith Ryan
Published: October 2024

Depression and anxiety are common, highly co-morbid conditions associated with a range of learning and decision-making deficits. While the computational mechanisms underlying these deficits have received growing attention, the transdiagnostic vs. diagnosis-specific nature of these mechanisms remains insufficiently characterized. Individuals with affective disorders (iADs; i.e., depression with or without co-morbid anxiety; N = 168 and 74, respectively) completed a widely-used decision-making task. To establish diagnostic specificity, we also incorporated data from a sample of individuals with substance use disorders (iSUDs; N = 147) and healthy comparisons (HCs; N = 54). Computational modeling afforded separate measures of learning and forgetting rates, among other parameters. Compared to HCs, forgetting rates (reflecting recency bias) were elevated in both iADs and iSUDs (p = 0.007, η² = 0.022). In contrast, iADs showed faster learning rates for negative outcomes than iSUDs (p = 0.027, η² = 0.017), but they did not differ from HCs. Other model parameters associated with learning and information-seeking also showed suggestive relationships with early adversity and impulsivity. Our findings demonstrate distinct differences in learning and forgetting rates between iSUDs, iADs, and HCs, suggesting that different cognitive processes are affected in these conditions. These differences in decision-making processes and their correlations with symptom dimensions suggest that one could specifically develop interventions that target changing forgetting rates and/or learning from negative outcomes. These results pave the way for replication studies to confirm these relationships and establish their clinical implications.
Privacy-Preserving Non-negative Matrix Factorization for Decentralized-Data Using Correlated Noise
Authors: Imtiaz Hafiz , Karmakar Tusher , Mohonta Protoye Kumar
Published: October 2024

Several matrix factorization algorithms are employed in machine learning applications. Among these, Non-negative Matrix Factorization (NMF) gained attention due to the ability to extract meaningful features from inherently non-negative data, such as images or videos. However, such data are often privacy-sensitive, which necessitates formal privacy guarantees of the machine learning model training algorithm. Additionally, modern data are typically stored in different nodes or clients, rather than a centralized server. Conventional decentralized privacy-preserving schemes suffer from too much noise and consequently, much smaller utility compared to their centralized counterparts. This motivates us to develop an efficient privacy-preserving NMF algorithm that can operate on decentralized data, and closely approximates the performance of centralized/non-privacy-preserving approach, while offering strict privacy guarantees. We design our method and demonstrate our results in such a way that the clients/data holders have the control to select the degree of privacy guarantee based on the required utility. We show the effectiveness of our proposed algorithm on six real datasets. Our experimental results show that our proposed method easily outperforms conventional privacy-preserving scheme, while achieving close approximation of the non-privacy-preserving approach under some parameter choices.
Integrative hyperspectral, transcriptomic, and metabolomic analysis reveals the mechanism of tea plants in response to sooty mold disease
Authors: Wang Shuangshuang , Xu Yang , Shen Jiazhi , Chen Hao , Wang Yu , Ding Zhaotang
Published: October 2024

Background Sooty mold (SM) is one of the most destructive diseases of tea plants, causing considerable damage and productivity losses. However, the roles of defense genes and metabolites in different SM-infected canopy layers of tea plants remain largely unclear. To investigate the immune mechanisms of tea plants, we utilized hyperspectral, transcriptomic, and metabolomic data from leaves of three canopy layers infected by SM (A1, A2, and A3). Results The hyperspectral analysis indicated that the spectral characteristics of the three canopy layers significantly differed, and three inflection spots were located close to the 552, 673, and 800 nm wavelengths. Transcriptome analysis showed that the differentially expressed genes were mainly enriched in metabolic pathways, biosynthesis of secondary metabolites, and plant-pathogen interaction. The cluster analysis revealed an elevated immune response in the A2 and A3 samples. A total of 733 metabolites were co-changed in leaves infected by SM, with alcohol, lipids (free fatty acids), hydrocarbons, and amino acids significantly accumulating in A1, while flavonoids were predominantly upregulated in A2 and A3. WGCNA analysis revealed that five hub genes (Dormancy-associated protein, Serine/threonine-protein phosphatase, ABC transporter, and some uncharacterized proteins) and two hub metabolites (D-Mannitol and 17-Hydroxylinolenic Acid) have significant relationships with the DEGs and metabolites. Further co-expression showed that tea plants mainly employed genes and metabolites related to the biosynthesis of secondary metabolites, plant hormone signal transduction, and plant-pathogen interaction to defend against SM. Conclusion This study established a foundation for elucidating the immune mechanisms of different canopy layers of tea plants infected by SM, and provided candidate genes and metabolites for improving tea plant breeding.
STAT-LSTM: A multivariate spatiotemporal feature aggregation model for SPEI-based drought prediction
Authors: Chen Ying , Wu Huanping , Xie Nengfu , Liang Xiaohe , Jiang Lihua , Qiu Minghui , Li Yonglei
Published: October 2024

In recent decades, shifts in the spatiotemporal patterns of precipitation and extreme temperatures have contributed to more frequent droughts. These changes impact not only agricultural production but also food security, ecological sys- tems, and social stability. Advanced techniques such as machine learning and deep learning models outperform traditional models by improving meteorolog- ical drought prediction. Specifically, this study proposes a novel model named the multivariate feature aggregation-based temporal convolutional network for meteorological drought spatiotemporal prediction (STAT-LSTM). The method consists of three parts: a feature aggregation module, which aggregates multi- variate features to extract initial features; a self-attention-temporal convolutional network (SA-TCN), which extracts time series features and uses the self-attention module’s weighting mechanism to automatically capture global dependencies in the sequential data; and a long short-term memory network (LSTM), which cap- tures long-term dependencies. The performance of the STAT-LSTM model was assessed and compared via performance indicators (i.e., MAE, RMSE, and R2 ). The results indicated that STAT-LSTM provided the most accurate SPEI pre- diction (MAE = 0.474, RMSE = 0.63, and R2 = 0.613 for SPEI-3; MAE = 0.356, RMSE = 0.468, and R2 = 0.748 for SPEI-6; MAE = 0.284, RMSE = 0.437, and R2 = 0.813 for SPEI-9; and MAE = 0.182, RMSE = 0.267, and R2 = 0.934 for SPEI-12).
Мedia Text: Communication Tactics for Building Trust
Authors:   St. Petersburg State University, Teplyashina Alla N.
Published: October 2024

Using the activities example of journalist-podcaster, Kommersant media holding expert Daria Tsivina, the article examines communicative tactics for building trust as an media culture integral part. One of the main reasons for the article topic relevance is the transformation of the formation processes and trust manifestation in a journalist associated with the development of information and communication technologies and convergence processes. Media trust is a key concept in the overall assessment of the journalistic text quality. We show the relationship between the main trust elements, which is understood as the truthfulness of words, actions, emotions and motives. The article presents the empirical study results, the purpose of which is to identify journalistic communication tactics that are of particular importance in the media trust formation. Nonverbal communication – voice intonation – is the most important, along with verbal, means of communication and infl uence. The features of nonverbal communication compared to verbal communication are described.Leading qualities determined based on the study results are indicated, which include speech skills (speech technique), communication skills (speech logic, emotional content); persuasiveness, ability to present information; erudition. To achieve the study purpose, an online survey was conducted. The research process used the content analysis method, as well as lexical-semantic and morphological analysis. It is concluded that the podcast is an audio version of a written text. This is one of the main differences between the podcast format and other formats of modern media discourse, which allows us to explore the author’s speech techniques. It can be concluded that the Tsivina’s texts lexical features show that the restaurant critic views his own podcast as an effective means of communication with the audience. In general, the podcast “Restaurant Criticism with Daria Tsivina” is characterized by a clear, concise structure and the use of easy-to-understand morphological units. Prosody as a super segmental phonological phenomenon in context. This study suggests that the podcaster must take into account prosody as a super segmental phonological phenomenon that is critical to the trust formation. Keywords: podcast, media trust, prosody, intonation, convergence
Writing global risk : manufactured uncertainties and the literary imagination of the global
Authors:   , Levihn-Kutzler Karsten
Published: October 2024

Some of the most important and most contentious political questions of our time concern the anticipation and pre-emption of future harm. The fight against the corona pandemic, with its focus on precautionary measures and projections of case numbers is only one example in a long line of threats that include nuclear war, climate change, and transnational terrorism, all of which challenge us to act based scenarios and predictions of future harm. The apprehension of such threats is to our experience of globality in the contemporary world. However, these hazards are very often removed from immediate perception, so that our knowledge of global risks is often second-hand knowledge, shaped as much by science as by transcultural flows of images, metaphors and narratives about technological hazards. The thesis explores how 20th and 21st century Anglophone fiction narrates the experience of living at risk from global technological and environmental hazards. In six contrastive readings that bring British, American, and postcolonial anglophone writing into dialogue, the book examines how the politics of fictional texts are connected to its narrative strategies for writing global risk: Engaging global risks means focusing on events which have not taken place yet and which are often hard or impossible to localize in a single geographical setting. Moreover, understanding how texts engage the temporality and location of global hazards not only helps us comprehend the role of fiction in debates about global risk, it also helps us explore how scenarios of the future are imagined and narrated more broadly.
Emotion Recognition in Kurdish Speech from the Sorani Dialect Corpus
Authors: Nematullah Omar , Askar Shavan , Wahhab Shahab , Khidir Bzar
Published: October 2024

Given the increasing need for interactive human-computer applications, the field of employing machine learning algorithms to discern emotions from speech has seen a substantial surge in interest. While emotion recognition systems have made substantial progress in languages like German, English, Spanish, Dutch, and Danish, the availability of comprehensive datasets for the Kurdish language remains notably limited. This paper addresses this gap by focusing on emotion recognition in Sorani Kurdish dialect speech data, which was carefully gathered from openly available videos from the YouTube platform and categorized into four clear supposed emotions: neutral, sadness, happiness, and anger. The study applied both natural Mel Spectrogram and Mel-Frequency Cepstral Coefficient (MFCC) features for various spectrals,  followed by the classification models K-Nearest Neighbor (KNN), Multi-Layer Perceptron (MLP), and Support Vector Machine (SVM) to evaluate the results. By closely examining and contrasting the results of using several methods for feature extraction, it was found that SVM obtained a higher accuracy, reaching as much as 85.57%. This is so much more than the first Kurdish emotion classification technique for the recognition of the emotion of the words.
Climatic Parameters Use for Evaluating Water Budget and Drought Analysis in Erbil Sub-basin, Kurdistan Region, Northern-Iraq
Authors: Shevan Jameel Jirjees
Published: October 2024

Major theoretical and practical hydrological issues may be solved using methods to maintain water balance. Evaluating the climate characteristics and environmental circumstances to be employed in the methods of water managing approach used in the Erbil sub-basin, northern Iraq, is the primary goal of this study. The studied area is a part of the region influenced by the Mediterranean climatological system. The climatic parameters of the research region were evaluated using the climatic data collected in the Erbil meteorological station for the period 1980-2022. The research result shows that the mean annual rainfall is 411.26 mm/year and the average monthly relative humidity is 41.12 %, the mean temperature is 20.62 °C, mean sunshine duration 8.35 hr./day and annual pan evaporation is 1200.96 mm / year. Potential evapotranspiration considered by Thornthwaite method is 1588.94 mm. The water surplus and deficit are 216.14 mm and 1393.81 mm, respectively. The surface runoff calculating from soil conservation system (SCS) technique which is about 86 mm / year and groundwater recharge is about 130.14 mm / year. The groundwater Budgets is about 187661880 m3 / year. The climatic situation in the area is variety from winter its wet to the summer its dry climates. Also, it could be measured that the climate in the area is determined was (Humid to very humid). The draught index according to SPI analysis show that the drought was observed during Moderately drought in (1983, 1999, 2000, 2010, 2015, and 2021) to severely drought in (2022.
A fuzzy logic and optimisation based approach for shipyard facility layout problem with consideration of risk, activity, and flow factors
Authors:   Naval Architecture and Maritime Faculty, Izmir Katip Celebi University, Izmir, Turkiye, Kafali Mustafa
Published: October 2024

One of the crucial factors of shipbuilding in terms of production efficiency is the arrangement of workstations. Since shipyard design involves the layout of many workstations, an initial setup is helpful for the shipyard designer. This paper proposes a new methodology for determining the relative locations of shipyard workstations. The novelties of this study are the use of the Simulated Annealing (SA) approach for determining shipyard workstation’s relative locations, the use of fuzzy logic and metaheuristic optimisation together in the shipyard facility layout planning (FLP) domain, and the incorporation of safety concept into the shipyard FLP. The procedure for determining proximity rating involves both qualitative (activity) and quantitative (flow and risk) factors and employs fuzzy logic. The problem of determining the relative locations of workstations is treated as an optimisation problem. The proposed methodology successfully generated three distinct shipyard layouts. These include U, L, and I-shaped arrangements for profiled panel production, as well as an almost star-shaped branched arrangement for sub-block production. Results show that this approach offers beneficial alternative starting layouts for a shipyard designer.
Разработка и валидация ПИТС-индекса для оценки тяжести синдрома последствий интенсивной терапии: описательное проспективное несравнительное когортное исследование
Authors: Белкин Андрей Августович , Рудник Е. Н. , Белкин В. А. , Нагаев Н. С. , Пинчук Е. А. , Рудник А. Е. , Ткачук М. М.
Published: October 2024

INTRODUCTION: The post intensive care syndrome (PICS) is a clinical manifestation of “learned non-use” phenomena, resulting from the application of metabolic rest strategies such as bed rest, sedation, and ventilation. This leads to prolonged, multifocal dysfunction in vital functions. The lack of standardized diagnostic methods for this syndrome limits its study. For the diagnosis of PICS, we combined 15 signs of vital function disturbances that have the greatest impact on quality of life, with a scoring value of 0.5–1. The sum of these symptoms has been designated as the PICS-index. OBJECTIVE: To develop a scale for calculating the PICS-index with stratification of its values into three ranges of severity: mild, moderate and severe. MATERIALS AND METHODS: A descriptive, prospective, and unmatched cohort study was conducted on 169 patients who had a high dependency on medical care and were admitted to a rehabilitation center between 2022 and 2023. RESULTS: Using the PICS-index, showed that 100 % of patients who spent more than 72 hours in the ICU during the early recovery period (up to 6 months) developed PICS, with a predominance of moderate cases (35–52 %). The proportion of severe PICS forms reached its maximum (37 %) between 3 and 6 months. In the late recovery phase (more than 6 months), mild PICS forms were predominant (45 %). The severity of PICS was influenced by the duration of ICU stay and the timing of mechanical ventilation, but not the age of patients. CONCLUSIONS: The PICS-index is a clinically effective tool for the multidisciplinary diagnosis and assessment of the severity and progression of PICS. Using the PICS-index, we have devised a method for evaluating the predominance of specific signs. The most common signs are disturbance of the gravitational gradient, polyneuromyopathy, dysphagia. This confirms the essence of PICS as a clinical manifestation of the "learned non-use" phenomenon.
Mindat.org – the open access mineralogy database to accelerate data-intensive geoscience research
Authors: Ralph Jolyon , Von Bargen David , Martynov Pavel , Zhang Jiyin , Que Xiang , Prabhu Anirudh , Morrison Shaunna M. , Li Wenjia , Chen Weilin , Ma Xiaogang
Published: October 2024

The mindat.org website (Mindat) has been operating since October 2000 as a free, crowd-sourced, and expert-curated database particularly focused on mineral species and their occurrences worldwide. The project has transformed from a hobbyist site in the beginning into a resource that has found use in various scientific research projects and educational programs. Together with other open data resources, Mindat has helped accelerate scientific discoveries in many fields, such as mineral evolution, mineral ecology, and the co-evolution of the geosphere and biosphere. Recently, through open data efforts, machine interfaces and software packages have been established to enable flexible data discovery and download from Mindat. We assume the data access and usage will further scale up in the next years. Although Mindat is curated by a team of geoscience and database experts across the world, the crowd-sourced records in Mindat still pose some bias. In this paper we first present an overview of the primary data subjects in Mindat, and then we give extensive details about the characteristics and bias of three most popular data subjects: locality, mineral species, and mineral occurrence. In the discussion we also give an outlook on appropriate data usage and future extension of data records. We hope users can obtain a more comprehensive view of the Mindat database through this paper and thus better plan their data use. We also hope more people will be inspired to contribute to the data curation work to make Mindat a sustained data ecosystem for geoscience research.
Doenças Negligenciadas na Região Sul do Ceará: Um Desafio Persistente no Nordeste Brasileiro
Authors: Lima Aila Gomes , Beserra Antonio Thiago , Jerônimo Gleice Aparecida Camilo , Barroso Igor Farias , Silva Lucas Yure Santos da , Brito Matheus Souza , Piancó Joana D’Arc de Souza , Beserra Janette Formiga
Published: October 2024

Doenças negligenciadas afetam notoriamente populações vulneráveis, especialmente em regiões como o sul cearense. Assim, o presente trabalho objetiva analisar as evidências disponíveis sobre as principais doenças negligenciadas no sul do Ceará, com foco na hanseníase, doença de Chagas, leishmaniose e esquistossomose. Realizou-se uma revisão narrativa da literatura em bases de dados como PubMed, Scopus e Web of Science, com foco em estudos dos últimos 10 anos revisados por pares. Os critérios de inclusão priorizaram pesquisas relacionadas às doenças negligenciadas no sul do Ceará, excluindo estudos fora dessa temática. Observou-se forte prevalência das quatro doenças alvo da pesquisa em questão: hanseníase, que permanece endêmica em áreas rurais, exacerbada pela falta de saneamento básico e acesso limitado a tratamentos; doença de Chagas, no qual, apesar de esforços de controle, persiste em regiões com moradias inadequadas e controle vetorial insuficiente; leishmaniose, tanto cutânea quanto visceral, que afeta populações vulneráveis devido à ineficiência das estratégias de controle de reservatórios animais e vetores; e esquistossomose, que encontra terreno propício em áreas com corpos d’água contaminados. Avanços diagnósticos, como testes moleculares, e terapêuticos, como a poliquimioterapia para hanseníase e novos medicamentos para leishmaniose, têm sido promissores, mas são insuficientes para erradicar as doenças sem melhorias nas condições socioambientais. Em suma, o estudo destaca a persistência das doenças negligenciadas no sul do Ceará, reforçando a necessidade de políticas públicas integradas que abordem não apenas o diagnóstico e o tratamento, mas também os determinantes sociais da saúde. Melhorias no saneamento básico, campanhas de conscientização e o fortalecimento das políticas de saúde pública são essenciais para mitigar a propagação dessas enfermidades.
Numerical study of the interaction of a shock wave with a layer of particles using the Baer–Nunziato model
Authors:   ICAD RAS, Chuprov P.A.
Published: October 2024

The work is devoted to the application of the Baer–Nunziato model to study shock wave processes in particle beds. The numerical algorithm is based on an HLLC-like solver and takes into account the processes of establishing equilibrium at the interface, taking into account the effect of particle compaction. The problem statement corresponds to the full-scale experiment of B.C. Fan et al. As part of the work, qualitative and quantitative agreement was obtained with the results of natural experiments and calculations of other authors, and an explanation was proposed for the experimentally observed phenomena.
Áreas verdes institucionales y su aporte a la protección de la biodiversidad colombiana: caso UNIMINUTO, sede Bogotá
Authors: Martínez Manuela , Chaparro-Africano Adriana
Published: October 2024

La biodiversidad se refiere a la diversidad biológica: puede ser genética, de especies y de ecosistemas, y ella retroalimenta la vida. En la actualidad, Colombia y Brasil comparten el primer lugar en biodiversidad global, por lo que es importante evaluar regularmente la biodiversidad en los territorios, dentro de los cuales las ciudades han cobrado importancia; y, dentro de ellas, las Instituciones de educación superior. Bogotá, ciudad donde está ubicada la sede más grande de la Corporación Universitaria Minuto de Dios (uniminuto) con más de 27 000 estudiantes y 3 000 m2, promueve las áreas verdes pues reconoce su importancia en la provisión de servicios ecosistémicos. Este estudio determinó en 2022 la biodiversidad de flora en esta sede mediante el uso de guías, consulta de nombres comunes y aplicaciones móviles. Se identificaron 43 géneros, de los cuales el 67 % son introducidos, principalmente de zonas como la Paleartica y Afrotropical. La sede en mención cuenta con un área verde bastante reducida y demasiadas especies no nativas, aunque su biodiversidad es resaltable. Se requiere una planeación y diseño multifuncional de las áreas verdes, dando prioridad a las especies nativas, y potenciando estos espacios en sus servicios ecosistémicos de bienestar para las personas y de aporte a la misión de educación, investigación y proyección social de UNIMINUTO.
Women academic leaders in Saudi universities: Educational and psychological vision
Authors:   Department of Management Information Systems, Applied Faculty, Hail University, Hail, Saudi Arabia, Alalfy Hany Rizk , Alaraby Hesham Yousef ,   Deanship of Quality and Development, Hail University, Hail, Saudi Arabia, Gaballa Abdalla Sayed ,   Department of Psychology, Faculty of Education, Hail University, Hail, Saudi Arabia; Department of Psychology, Faculty of Arts, Assiut University, Assiut, Egypt, Shalaby Salem Said ,   Deanship of Quality and Development, Hail University, Hail, Saudi Arabia, Alrefai Zeyad A. ,   Department of Management Information Systems, Applied Faculty, Hail University, Hail, Saudi Arabia
Published: October 2024

There is limited understanding of women's leadership roles in Saudi Arabian university education, leading to a gap in scholarly literature despite significant advancements made by Saudi women in this field. However, they encounter several obstacles when striving for leadership roles at universities. This study seeks to examine the state of women's academic leadership within Saudi universities from an educational and psychological perspective, pinpointing the key challenges they face in obtaining such positions. The findings reveal that women leaders face various challenges, with organizational obstacles being the most significant, receiving a high average score of 4. Additionally, cultural and social barriers scored an average of 3.51, also rated highly, followed by psychological barriers with an average score of 3.26, which received a medium rating. Participants suggested comprehensive reforms to mitigate these challenges, notably implementing Saudi Vision 2030 principles and initiatives, which advocate for women faculty members to take on leadership roles at universities. These insights could not only benefit Saudi Arabia but also the wider Arab Gulf region, the Middle East, and other areas with similar conditions.
The intersection of socioeconomic status and wildfire risk: Insights from California
Authors:   College of Business and Economics, California State University, Los Angeles, USA, Sultan Vivian , Kom Tyler ,   College of Business and Economics, California State University, Los Angeles, USA
Published: October 2024

Wildfires in California have increased over the past 20 years, raising serious concerns. Due to the significant damage these fires cause to the environment, infrastructure, and communities, it is essential for policymakers and researchers to find effective ways to reduce their impact. This study aims to improve our understanding of wildfires by examining the relationship between population density, wildfire severity, and socioeconomic factors like average household income. The research uses socioeconomic data from the California State Geoportal (CA.gov) and fire severity zones from ArcGIS Hub. Statistical methods, such as ordinary least squares (OLS) regression and correlation analysis, were applied using ArcGIS Pro software from the Environmental Systems Research Institute. This study confirms earlier findings that there is no correlation between population density and wildfire severity. This conclusion is based on a more detailed analysis that moves from the county level to the census tract level. Additionally, we found no connection between socioeconomic status and fire severity, though we did observe a clear link between socioeconomic status and the likelihood of fires starting. Both OLS and correlation analysis supported these results. However, a hot-spot analysis showed that areas with the lowest-income households are also the regions with the most severe wildfires. This suggests a concerning relationship between lower-income communities and increased vulnerability to wildfires. The findings emphasize the need for targeted interventions and a fair distribution of resources to address the socioeconomic inequalities that contribute to wildfire risk.
A Pilot Project to Promote Research Competency in Medical Students Through Journal Clubs: Mixed Methods Study
Authors: Karabacak Mert , Ozcan Zeynep , Ozkara Burak Berksu , Furkan Zeynep Sude , Bisdas Sotirios
Published: October 2024

Background

Undergraduate medical students often lack hands-on research experience and fundamental scientific research skills, limiting their exposure to the practical aspects of scientific investigation. The Cerrahpasa Neuroscience Society introduced a program to address this deficiency and facilitate student-led research.

Objective

The primary goal of this initiative was to enhance medical students’ research output by enabling them to generate and publish peer-reviewed papers within the framework of this pilot project. The project aimed to provide an accessible, global model for research training through structured journal clubs, mentorship from experienced peers, and resource access.

Methods

In January 2022, a total of 30 volunteer students from various Turkish medical schools participated in this course-based undergraduate research experience program. Students self-organized into 2 groups according to their preferred study type: original research or systematic review. Two final-year students with prior research experience led the project, developing training modules using selected materials. The project was implemented entirely online, with participants completing training modules before using their newly acquired theoretical knowledge to perform assigned tasks.

Results

Based on student feedback, the project timeline was adjusted to allow for greater flexibility in meeting deadlines. Despite these adjustments, participants successfully completed their tasks, applying the theoretical knowledge they had gained to their respective assignments. As of April 2024, the initiative has culminated in 3 published papers and 3 more under peer review. The project has also seen an increase in student interest in further involvement and self-paced learning.

Conclusions

This initiative leverages globally accessible resources for research training, effectively fostering research competency among participants. It has successfully demonstrated the potential for undergraduates to contribute to medical research output and paved the way for a self-sustaining, student-led research program. Despite some logistical challenges, the project provided valuable insights for future implementations, showcasing the potential for students to engage in meaningful, publishable research.