bluuebunny/crossref_metadata_2025 huggingface dataset:
AIFormer: Adaptive Interaction Transformer for 3D Point Cloud Understanding
Authors: Chu Xutao , Zhao Shengjie , Dai Hongwei
Published: November 2024

Recently, significant advancements have been made in 3D point cloud analysis by leveraging transformer architecture in 3D space. However, it remains challenging to effectively implement local and global learning within irregular and sparse structures of 3D point clouds. This paper presents the Adaptive Interaction Transformer (AIFormer), a novel hierarchical transformer architecture designed to enhance 3D point cloud analysis by fusing local and global features through the adaptive interaction of features. Specifically, AIFormer mainly consists of several stacked AIFormer Blocks. Each AIFormer module employs the Local Relation Aggregation Module and the Global Context Aggregation Module, respectively, to extract local details of relationships within the reference point and long-range dependencies between reference points. Then, the local and global features are fused using the Adaptive Interaction Module for adaptive interaction to optimize the point representation. Additionally, the AIFormer Block further designs geometric relation functions and contextual relative semantic encoding to enhance local and global feature extraction capabilities, respectively. Extensive experiments on three popular 3D point cloud datasets verify that AIFormer achieves state-of-the-art or comparable performances. Our comprehensive ablation study further validates the effectiveness and soundness of the AIFormer design.
The Combination Application of FY-4 Satellite Products on Typhoon Saola Forecast on the Sea
Authors: Yang Chun , Shi Bingying , Min Jinzhong
Published: November 2024

Satellite data play an irreplaceable role in global observation data systems. Effective comprehensive application of satellite products will inevitably improve numerical weather prediction. FengYun-4 (FY-4) series satellites can provide not only radiance data but also retrieval data with high temporal and spatial resolutions. To evaluate the potential benefits of the combination application of FY-4 Advanced Geostationary Radiance Imager (AGRI) products on Typhoon Saola analysis and forecast, two group of experiments are set up with the Weather Research and Forecasting model (WRF). Compared with the benchmark experiment, whose sea surface temperature (SST) is from the National Centers for Environmental Prediction (NCEP) reanalysis data, the SST replacement experiments with FY-4 A/B SST products significantly improve the track and precipitation forecast, especially with the FY-4B SST product. Based on the above results, AGRI clear-sky and all-sky assimilations with FY-4B SST are implemented with a self-constructed AGRI assimilation module. The results show that the AGRI all-sky assimilation experiment can obtain better analyses and forecasts. Furthermore, it is proven that the combination application of AGRI radiance and SST products is beneficial for typhoon prediction.
SeFi-CD: A Semantic First Change Detection Paradigm That Can Detect Any Change You Want
Authors: Zhao Ling , Huang Zhenyang , Wang Yipeng , Peng Chengli , Gan Jun , Li Haifeng , Hu Chao
Published: November 2024

The existing change detection (CD) methods can be summarized as the visual-first change detection (ViFi-CD) paradigm, which first extracts change features from visual differences and then assigns them specific semantic information. However, CD is essentially dependent on change regions of interest (CRoIs), meaning that the CD results are directly determined by the semantics changes in interest, making its primary image factor semantic of interest rather than visual. The ViFi-CD paradigm can only assign specific semantics of interest to specific change features extracted from visual differences, leading to the inevitable omission of potential CRoIs and the inability to adapt to different CRoI CD tasks. In other words, changes in other CRoIs cannot be detected by the ViFi-CD method without retraining the model or significantly modifying the method. This paper introduces a new CD paradigm, the semantic-first CD (SeFi-CD) paradigm. The core idea of SeFi-CD is to first perceive the dynamic semantics of interest and then visually search for change features related to the semantics. Based on the SeFi-CD paradigm, we designed Anything You Want Change Detection (AUWCD). Experiments on public datasets demonstrate that the AUWCD outperforms the current state-of-the-art CD methods, achieving an average F1 score 5.01% higher than that of these advanced supervised baselines on the SECOND dataset, with a maximum increase of 13.17%. The proposed SeFi-CD offers a novel CD perspective and approach.
Monitoring Aeolian Erosion from Surface Coal Mines in the Mongolian Gobi Using InSAR Time Series Analysis
Authors: Kim Jungrack , Amgalan Bayasgalan , Bulkhbai Amanjol
Published: November 2024

Surface mining in the southeastern Gobi Desert has significant environmental impacts, primarily due to the creation of large coal piles that are highly susceptible to aeolian processes. Using spaceborne remote sensing and numerical simulations, we investigated erosional processes and their environmental impacts. Our primary tool was Interferometric Synthetic Aperture Radar (InSAR) data from Sentinel-1 imagery collected between 2017 and 2022. We analyzed these data using phase angle information from the Small Baseline InSAR time series framework. The time series analyses revealed intensive aeolian erosion in the coal piles, represented as thin deformation patterns along the potential pathways of aerodynamic transportation. Further analysis of multispectral data, combined with correlations between wind patterns and trajectory simulations, highlighted the detrimental impact of coal dust on the surrounding environment and the mechanism of aeolian erosion. The lack of mitigation measures, such as water spray, appeared to exacerbate erosion and dust generation. This study demonstrates the feasibility of using publicly available remote sensing data to monitor coal mining activities and their environmental hazards. Our findings contribute to a better understanding of coal dust generation processes in surface mining operations as well as the aeolian erosion mechanism in desert environments.
An Objective Assessment of Neuromotor Control Using a Smartphone App After Repeated Subconcussive Blast Exposure
Authors: Howard Charlend K. , Yamada Masahiro , Dovel Marcia , Leverett Rie , Hill Alexander , Manlapaz Kenneth A. , Keyser David O. , Hernandez Rene S. , Rowe Sheilah S. , Carr Walter S. , Roy Michael J. , Rhea Christopher K.
Published: November 2024

Subconcussive blast exposure has been shown to alter neurological functioning. However, the extent to which neurological dysfunction persists after blast exposure is unknown. This longitudinal study examined the potential short- and long-term effects of repeated subconcussive blast exposure on neuromotor performance from heavy weapons training in military personnel. A total of 214 participants were assessed; 137 were exposed to repeated subconcussive blasts and 77 were not exposed to blasts (controls). Participants completed a short stepping-in-place task while an Android smartphone app placed on their thigh recorded movement kinematics. We showed acute suppression of neuromotor variability 6 h after subconcussive blast exposure, followed by a rebound to levels not different from baseline at the 72 h, 2-week, and 3-month post-tests. It is postulated that this suppression of neuromotor variability results from a reduction in the functional degrees of freedom from the subconcussive neurological insult. It is important to note that this change in behavior is short-lived, with a return to pre-blast exposure movement kinematics within 72 h.
Molecularly Imprinted Ratiometric Fluorescent Sensors for Analysis of Pharmaceuticals and Biomarkers
Authors: Yan Jingyi , Liu Siwu , Sun Dani , Peng Siyuan , Ming Yongfei , Ostovan Abbas , Song Zhihua , You Jinmao , Li Jinhua , Fan Huaying
Published: November 2024

Currently, analyzing pharmaceuticals and biomarkers is crucial for ensuring medication safety and protecting life and health, and there is an urgent need to develop new and efficient analytical techniques in view of the limitations of traditional analytical methods. Molecularly imprinted ratiometric fluorescent (MI-RFL) sensors have received increasing attention in the field of analytical detection due to their high selectivity, sensitivity and anti-interference ability, short response time, and visualization. This review summarizes the recent advances of MI-RFL sensors in the field of pharmaceuticals and biomarkers detection. Firstly, the fluorescence sources and working mechanisms of MI-RFL sensors are briefly introduced. On this basis, new techniques and strategies for preparing molecularly imprinted polymers, such as dummy template imprinting, nanoimprinting, multi-template imprinting, and stimulus-responsive imprinting strategies, are presented. Then, dual- and triple-emission types of fluorescent sensors are introduced. Subsequently, specific applications of MI-RFL sensors in pharmaceutical analysis and biomarkers detection are highlighted. In addition, innovative applications of MI-RFL sensors in point-of-care testing are discussed in-depth. Finally, the challenges of MI-RFL sensors for analysis of pharmaceuticals and biomarkers are proposed, and the research outlook and development trends of MI-RFL sensors are prospected.
A Comprehensive Evaluation of Iris Segmentation on Benchmarking Datasets
Authors: Sumi Mst Rumana , Das Priyanka , Hossain Afzal , Dey Soumyabrata , Schuckers Stephanie
Published: November 2024

Iris is one of the most widely used biometric modalities because of its uniqueness, high matching performance, and inherently secure nature. Iris segmentation is an essential preliminary step for iris-based biometric authentication. The authentication accuracy is directly connected with the iris segmentation accuracy. In the last few years, deep-learning-based iris segmentation methodologies have increasingly been adopted because of their ability to handle challenging segmentation tasks and their advantages over traditional segmentation techniques. However, the biggest challenge to the biometric community is the scarcity of open-source resources for adoption for application and reproducibility. This review provides a comprehensive examination of available open-source iris segmentation resources, including datasets, algorithms, and tools. In the process, we designed three U-Net and U-Net++ architecture-influenced segmentation algorithms as standard benchmarks, trained them on a large composite dataset (>45K samples), and created 1K manually segmented ground truth masks. Overall, eleven state-of-the-art algorithms were benchmarked against five datasets encompassing multiple sensors, environmental conditions, demography, and illumination. This assessment highlights the strengths, limitations, and practical implications of each method and identifies gaps that future studies should address to improve segmentation accuracy and robustness. To foster future research, all resources developed during this work would be made publicly available.
A Cross-Attention-Based Class Alignment Network for Cross-Subject EEG Classification in a Heterogeneous Space
Authors: Ma Sufan , Zhang Dongxiao
Published: November 2024

Background: Domain adaptation (DA) techniques have emerged as a pivotal strategy in addressing the challenges of cross-subject classification. However, traditional DA methods are inherently limited by the assumption of a homogeneous space, requiring that the source and target domains share identical feature dimensions and label sets, which is often impractical in real-world applications. Therefore, effectively addressing the challenge of EEG classification under heterogeneous spaces has emerged as a crucial research topic. Methods: We present a comprehensive framework that addresses the challenges of heterogeneous spaces by implementing a cross-domain class alignment strategy. We innovatively construct a cross-encoder to effectively capture the intricate dependencies between data across domains. We also introduce a tailored class discriminator accompanied by a corresponding loss function. By optimizing the loss function, we facilitate the aggregation of features with corresponding classes between the source and target domains, while ensuring that features from non-corresponding classes are dispersed. Results: Extensive experiments were conducted on two publicly available EEG datasets. Compared to advanced methods that combine label alignment with transfer learning, our method demonstrated superior performance across five heterogeneous space scenarios. Notably, in four heterogeneous label space scenarios, our method outperformed the advanced methods by an average of 7.8%. Moreover, in complex scenarios involving both heterogeneous label spaces and heterogeneous feature spaces, our method outperformed the state-of-the-art methods by an average of 4.1%. Conclusions: This paper presents an efficient model for cross-subject EEG classification under heterogeneous spaces, which significantly addresses the challenges of EEG classification within heterogeneous spaces, thereby opening up new perspectives and avenues for research in related fields.
Towards the Development of an Optical Biosensor for the Detection of Human Blood for Forensic Analysis
Authors: Costanzo Hayley , den Hartog Maxine , Gooch James , Frascione Nunzianda
Published: November 2024

Blood is a common biological fluid in forensic investigations, offering significant evidential value. Currently employed presumptive blood tests often lack specificity and are sample destructive, which can compromise downstream analysis. Within this study, the development of an optical biosensor for detecting human red blood cells (RBCs) has been explored to address such limitations. Aptamer-based biosensors, termed aptasensors, offer a promising alternative due to their high specificity and affinity for target analytes. Aptamers are short, single-stranded DNA or RNA sequences that form stable three-dimensional structures, allowing them to bind to specific targets selectively. A nanoflare design has been employed within this work, consisting of a quenching gold nanoparticle (AuNP), DNA aptamer sequences, and complementary fluorophore-labelled flares operating through a fluorescence resonance energy transfer (FRET) mechanism. In the presence of RBCs, the aptamer–flare complex is disrupted, restoring fluorescence and indicating the presence of blood. Two aptamers, N1 and BB1, with a demonstrated binding affinity to RBCs, were selected for inclusion within the nanoflare. This study aimed to optimise three features of the design: aptamer conjugation to AuNPs, aptamer hybridisation to complementary flares, and flare displacement in the presence of RBCs. Fluorescence restoration was achieved with both the N1 and BB1 nanoflares, demonstrating the potential for a functional biosensor to be utilised within the forensic workflow. It is hoped that introducing such an aptasensor could enhance the forensic workflow. This aptasensor could replace current tests with a specific and sensitive reagent that can be used for real-time detection, improving the standard of forensic blood analysis.
A Review of Visual Estimation Research on Live Pig Weight
Authors: Wang Zhaoyang , Li Qifeng , Yu Qinyang , Qian Wentai , Gao Ronghua , Wang Rong , Wu Tonghui , Li Xuwen
Published: November 2024

The weight of live pigs is directly related to their health, nutrition management, disease prevention and control, and the overall economic benefits to livestock enterprises. Direct weighing can induce stress responses in pigs, leading to decreased productivity. Therefore, modern livestock industries are increasingly turning to non-contact techniques for estimating pig weight, such as automated monitoring systems based on computer vision. These technologies provide continuous, real-time weight-monitoring data without disrupting the pigs’ normal activities or causing stress, thereby enhancing breeding efficiency and management levels. Two methods of pig weight estimation based on image and point cloud data are comprehensively analyzed in this paper. We first analyze the advantages and disadvantages of the two methods and then discuss the main problems and challenges in the field of pig weight estimation technology. Finally, we predict the key research areas and development directions in the future.
Cyber Sex Crimes Targeting Children and Adolescents in South Korea: Incidents and Legal Challenges
Authors: Jang Yujin , Suh Youngmeen
Published: November 2024

This review paper addresses the growing and increasingly sophisticated issue of cyber sexual crimes targeting children and adolescents. It explores specific examples of various sexual offenses, analyzes the limitations of current legal frameworks, and offers practical recommendations for prevention. As one of the world’s most advanced digital societies, South Korea has witnessed a significant rise in such crimes. These incidents are classified into clear criminal acts, tactics used to lure minors, and occurrences within virtual environments, all of which should be integral to educational programs for children and parents. This study also examines the UK’s Online Safety Act, recognized as a leading model in combating online sexual offenses, and highlights the deficiencies in South Korean law. Given that these crimes often extend into the offline world, exploit vulnerable groups with increasing subtlety, and are challenging for individuals to counteract alone, there is a critical need for specialized education for minors, metaverse training for parents, and the enhancement of both legal measures and international cooperation in this area.
Actions That Build Peace from the Voices of Teachers Affected by the Armed Conflict in Colombia
Authors: Aristizábal Luz Adriana , Ávila Adriana Inés
Published: November 2024

For decades, the armed conflict in Colombia has profoundly impacted across various domains, causing psychosocial, economic, environmental, political, and moral damages throughout the country. One of the most affected sectors has been education, which involves all stakeholders within the educational system, particularly teachers who have directly or indirectly experienced this violence. This article, stemming from research on the resignification of armed conflict and peacebuilding, focuses on how teachers have transformed these impacts into educational actions that contribute to peacebuilding. We analysed the experiences and reflections of 412 participating teachers on-site in five conflict-affected zones in Colombia. Four main categories emerged: (1) psychosocial actions, (2) responsible teaching practices, (3) pedagogical actions, and (4) discussion and reflection spaces. These findings reveal insights not only about the actions that foster peace through school activities but also those within homes and, importantly, the work on oneself. While these actions may not be adopted by all teachers and do not guarantee immunity against future violent events, we believe this analysis could greatly benefit humanity. It prepares us to prevent and confront various forms of aggression, while also assisting in reframing everyday events that could nurture a vulnerable society suffering in silence.
Exploring the Multiplication of Resonant Modes in Off-Center-Driven Chladni Plates from Maximum Entropy States
Authors: Lin Song-Qing , Hsu Yu-Hsin , Su Kuan-Wei , Liang Hsing-Chih , Chen Yung-Fu
Published: November 2024

In this study, the resonant characteristics of the off-center-driven Chladni plates were systematically investigated for the square and equilateral triangle shapes. Experimental results reveal that the number of the resonant modes is considerably increased for the plates under the off-center-driving in comparison to the on-center-driving. The Green’s functions derived from the nonhomogeneous Helmholtz equation are exploited to numerically analyze the information entropy distribution and the resonant nodal-line patterns. The experimental resonant modes are clearly confirmed to be in good agreement with the maximum entropy states in the Green’s functions. Furthermore, the information entropy distribution of the Green’s functions can be used to reveal that more eigenmodes can be triggered in the plate under the off-center-driving than the on-center-driving. By using the multiplication of the resonant modes in the off-center-driving, the dispersion relation between the experimental frequency and the theoretical wave number can be deduced with more accuracy. It is found that the deduced dispersion relations agree quite well with the Kirchhoff–Love plate theory.
The “Simultaneous Development of Quantity and Quality”: Research on the Impact of the Digital Economy in Enabling Manufacturing Innovation
Authors: Xiao Wenxue , Fan Decheng
Published: November 2024

The digital economy is the future direction of global development, and its innovation-driven effect has become the focus of scholars. This study takes China’s Shanghai and Shenzhen A-share listed manufacturing enterprises from 2012 to 2022 as research samples and uses a text-analysis method to measure the comprehensive index of the regional digital economy. Based on the dual dimensions of quantity and quality, we empirically test the actual impact of the digital economy on manufacturing innovation. The results show the following: (1) The internal components of the digital economy include data elements, digital technology, and digital infrastructure, which have a significant role in promoting manufacturing innovation. (2) There are significant differences in the release of digital economy innovation dividends among enterprises with different growth stages, property rights, and technology endowments. (3) From the macro-regional level, the rational allocation of R&D personnel and R&D funds is an effective way for the digital economy to enable manufacturing innovation. In addition, from the micro-enterprise level, factor-combination and information-optimization effects are also effective ways for the digital economy to drive manufacturing innovation. (4) Further, the impact of the digital economy on manufacturing innovation is nonlinear, with changes in internal composition. This study helps to break through the obstacles of the digital economy to achieve innovation empowerment and provides a theoretical reference for the manufacturing industry to continue to spur innovation vitality.
The Treatment Outcomes of Tuberculosis Patients at Adare General Hospital, Southern Ethiopia (A Five-Year Retrospective Study)
Authors: Tsegaye Bizunesh , Bedewi Zufan , Asnake Solomon
Published: November 2024

Ethiopia is among the countries most heavily affected by tuberculosis, where it is the leading cause of morbidity, the third cause of hospital admission and the second cause of death. To improve tuberculosis management and control, the early detection of cases, effective treatment and the persistent evaluation of treatment outcomes are vital issues that should be taken into consideration. This study was designed to determine the treatment outcomes and associated risk factors among TB patients registered at Adare General Hospital in Southern Ethiopia. A five-year retrospective study was conducted by reviewing the files of the TB patients registered from September 2013 to August 2017. The data were coded, cleaned, entered and analyzed using SPSS version 20 statistical software. Bivariate and multivariable logistic regression with odds ratios (OR) along with a 95% confidence interval was computed and interpreted. A p-value < 0.05 was declared as statistically significant. Among the 1122 cases, 620 (55.3%) were male, 748 (66.7%) were from urban areas, 319 (28.4%) were smear positive, 352 (31.4%) were smear negative and 451 (40.2%) were extra-pulmonary patients. Among the treated patients, 284 were declared cured, 753 completed their treatment, 29 were defaulters, 3 failed to follow up, and 53 died. The overall treatment success rate was 92.4%. The TB patients from urban areas (AOR = 1.44, 95% CI: 0.28, 0.67), and the HIV-negative TB patients (AOR = 5.48, 95% CI; 3.474, 8.64) were significantly associated with successful treatment outcomes. The treatment success rates of tuberculosis at Adare General Hospital were comparable to the national health facility-level coverage, but they should be maintained and strengthened further to attain tuberculosis-related national and millennium goals.
Systematic Review on Influenza Burden in Emerging Markets in 2018–2023—An Evidence Update to Guide Influenza Vaccination Recommendations
Authors: Kyaw Moe H. , Chen Sophie Bozhi , Wu Shishi , Foo Chee Yoong , Welch Verna , Boikos Constantina , Jagun Oladayo
Published: November 2024

Background: Influenza is a contagious respiratory illness responsible for seasonal epidemics and with potential to cause pandemics. The decline in influenza-related studies published since 2018 resulted in data gaps, particularly in emerging markets. Methods: This systematic review searched for studies in six databases and gray literature sources to define the clinical burden of influenza and influenza-like illness (ILIs) and their associated sequelae among humans across emerging markets. Eligible studies were published in English, Spanish, or Chinese between January 2018 and September 2023 and conducted in Asia, the Middle East, Africa, and Latin America. Results: In total, 256 articles were included, mostly on lab-confirmed influenza infections (n = 218). Incidences of lab-confirmed influenza cases in Asia (range 540–1279 cases/100,000 persons) and Sub-Saharan Africa (range 34,100–47,800 cases/100,000 persons) were higher compared to Latin America (range 0.7–112 cases/100,000 persons) and the Middle East and North Africa (range 0.1–10 cases/100,000 persons). Proportions of lab-confirmed influenza cases and influenza-associated outcomes (i.e., hospitalization, ICU admission and death) varied widely across regions. Temporal variation in influenza trend was observed before and during the COVID-19 pandemic. Conclusions: In conclusion, influenza causes significant disease burden in emerging markets. Robust large real-world studies using a similar methodology are needed to have more accurate estimates and compare studies within age groups and regions. Continuous monitoring of influenza epidemiology is important to inform vaccine programs in emerging markets with heavy influenza disease burden.
الولاء الوظيفي، والرضا الوظيفي ونوايا ترك الوظيفة: دراسة عن الممرضين والممرضات اللبنانيين
Authors: بلوط حسن إبراهيم
Published: November 2024

على الرغم من الأخذ بعين الاعتبار تزايد اهتمام الباحثين بدراسة الولاء الوظيفي والمتغيرات المرتبطة به في البيئة الغربية وغير الغربية، فإن الباحثين لم يتناولوا تطبيق نظريات العلوم السلوكية الغربية في بيئة عمل المؤسسات اللبنانية. وقد تناولت هذه الدراسة عينة شملت 180 ممرضا وممرضة، وكشفت أن النظريات الغربية التي ربطت بين متغيرات الارتباط الوظيفي، والولاء الوظيفي، والرضا الوظيفي والنية بترك الوظيفة تنطبق على العاملين اللبنانيين. وبينت الدراسة أن ارتباط الممرضين والممرضات بوظائفهم له تأثير إيجابي على رضاهم وولائهم الوظيفي، وأن الارتباط والرضا الوظيفي يؤثران إيجاباً على ولائهم الوظيفيـ كذلك بينت الدراسة أن الرضا والولاء الوظيفي يقللان من نوايا هؤلاء لترك وظائفهم.
أثر تقديم الخدمات الاستشارية لعملاء تدقيق الحسابات على أتعاب تدقيق الحسابات في الكويت
Authors: الهرشاني مشاري عبيد
Published: November 2024

يهدف هذا البحث إلى دراسة تقديم الخدمات الاستشارية (غير تدقيق الحسابات) من قبل مكاتب تدقيق الحسابات لعملاء تدقيق الحسابات، وأثر تقديم مثل هذه الخدمات على أتعاب تدقيق الحسابات في دولة الكويت. ولقد أجريت هذه الدراسة باستخدام عينة من المنشآت التي تمت مراجعتها من قبل مكاتب تدقيق حسابات في الكويت، ولقد أظهرت نتائج البحث أن حجم المنشأة الخاضعة للتدقيق، ودرجة سيولتها، وربحيتها من العوامل المؤثرة في تحديد أتعاب تدقيق الحسابات في الكويت، كما أظهرت النتائج التي توصلت إليها الدراسة بأن هناك علاقة طردية بين تقديم الخدمات الاستشارية (غير تدقيق الحسابات) وبين أتعاب تدقيق الحسابات.
إدارة سلسلة الإمداد: رؤية لدور ومساهمة المحاسبة الإدارية
Authors: أحمد ميرغني نمر
Published: November 2024

أبرز النمو المتسارع والاستخدام المتزايد لعلاقات الشراكة والتضامن بين المنظمات خلال العقدين الأخيرين تحديات جديدة للمحاسبة الإدارية. وتتمثل إحدى هذه التحديات في إيجاد الآليات وإعداد المعلومات لتنسيق وإدارة النشاطات بين المنظمات عبر سلسلة الإمداد. وتهدف هذه الدراسة إلى مراجعة السبل التي تصدت بها المحاسبة الإدارية للتطورات في علاقات سلسلة الإمداد، ومدى مساهمة المحاسبة والمحاسبين في الإدارة الفعالة لسلسة الإمداد. كذلك تشمل الدراسة استعراض للأدوار الحالية والمستقبلية للمحاسبين الإداريين في هذا الإطار، بالإضافة إلى نماذج من الممارسات العملية التي تتضمن بعض الممارسات المحاسبية والتي بدأت بالظهور نتيجة لتطبيق نظام إدارة سلسلة الموارد وبعض أشكال الشراكة الإستراتيجية بإحدى المنشآت السعودية.
تطبيق إستراتيجية الزخم الاستثمارية في سوق عمّان للأوراق المالية؛ وأثرها في كفاءة السوق، والأرباح غير العادية
Authors: العتيبي محمود حسني , عناسوة محمد سلامة , حمدان علام محمد
Published: November 2024

تهدف هذه الدراسة إلى فحص فرضية استمرارية اتجاه العوائد، التي تبنى عليها إستراتيجية الزخم الاستثمارية (Momentum Investment Strategy MIS) التي لم يسبق تطبيقها في سوق عمّان للأوراق المالية؛ من أجل تحقيق أرباح غير عادية للمستثمرين. كما تهدف الدراسة إلى تقديم منهجية جديدة لفحص كفاءة سوق عمّان للأوراق المالية على المستوى الضعيف، وفقاً لمنهجية Jegadeesh & Titman (1993). تكوَنت عينة الدراسة من تسع وأربعين شركة مدرجة في سوق عمّان للأوراق المالية، من الشركات التي لم تدمج، ولم تخرج من السوق خلال الفترة الممتدة من عام 1987 حتى عام 2005. خلصت الدراسة إلى إمكانية تحقيق أرباح غير عادية من خلال اتباع إستراتيجية الزخم الاستثمارية، التي كانت ناجحة في مجموعة من الفترات دون غيرها، كذلك توصلت الدراسة إلى أن سوق عمّان للأوراق المالية ليست كفئاً على المستوى الضعيف، وأن العوائد غير العادية لا تتأثر باختلاف المخاطرة النظامية، وهي ليست ناتجة بسبب التباين التسلسلي للعوائد، أو التباين التسلسلي للبواقي، وإنما كان مصدرها اختلاف السلوك المالي للمستثمرين، وردة فعلهم التي هي أقل مما يجب. وقد بينت الدراسة أيضاً أن هذه الإستراتيجية استمرت لمدة سنة في سوق عمّان للأوراق المالية، بينما استمرت لمدة ثلاث سنوات في أسواق الولايات المتحدة الأمريكية. وقد أوصت الدراسة بضرورة تشجيع المستثمرين على تطبيق إستراتيجية الزخم في سوق عمّان للأوراق المالية خلال مدة عام; وهو ما يساعدهم في تحقيق أرباح غير عادية، وكذلك أوصت الدراسة بعدم الاعتماد على أنموذج تسعير الأصول الرأسمالية (Capital Asset Pricing Model CAPM) لتسعير الأصول الرأسمالية في سوق عمّان للأوراق المالية، كما أوصت بإجراء مزيد من الدراسة حول هذه الإستراتيجية.
The Scriniodinium crystallinum dinoflagellate cyst zone in the Middle–Upper Oxfordian, Upper Jurassic, Ilimananngip Nunaa (Milne Land), East Greenland
Authors: Piasecki Stefan
Published: November 2024

The biostratigraphy of the Jurassic in East Greenland is historically based on macroscopic fossils. Stratigraphy based on palynomorphs (spores, pollen and dinoflagellate cysts) has progressed more slowly and sporadically. The Scriniodinium crystallinum dinoflagellate cyst Zone is identified in middle – upper Oxfordian strata of Ilimananngip Nunaa (Milne Land), central East Greenland. The lower boundary is defined by the last occurrence of Trichodinium scarburghense in the Cardioceras tenuiserratum ammonite Zone. The upper boundary is defined by the last occurrence of S. crystallinum in the uppermost Amoeboceras rosenkrantzi ammonite Zone. However, the subzonal division of the S. crystallinum Zone recorded in North-West Europe is not identified in Greenland. Eighteen characteristic dinoflagellate cyst events are considered stratigraphically significant and useful in East Greenland. Fifteen of these events provide an informal, detailed stratigraphical subdivision of the S. crystallinum Zone into 10 subunits. Identification of the zone is an addition to the previously defined upper Bathonian – middle Oxfordian zonation, where the uppermost palynostratigraphical event was recorded to be the last occurrence of T. scarburghense. With this study, the correlation of dinoflagellate cyst and ammonite stratigraphy in the lower and middle Oxfordian is slightly modified. The S. crystallinum Zone documented here, in combination with the zonation used for the stratigraphy of the Blokelv-1, Rødryggen-1 and Brorson Halvø-1 cores of the Upper Jurassic to Lower Cretaceous, completes the dinoflagellate cyst stratigraphy of the marine Jurassic in East Greenland. Together with previous studies of spores and pollen in less marine units, the first complete palynological Jurassic stratigraphy is thus established for the Jurassic succession in East Greenland.
Алгоритми оптимального вибору варіантів для одного спеціального класу задач
Authors: Стецюк Петро Іванович , Вакуленко Дмитро Вікторович , Семикопна Тетяна Вікторівна
Published: November 2024

Сформульовано та обґрунтовано три моделі математичного програмування для знаходження оптимальних за вартістю (лінійний критерій) та зваженістю (квадратичний критерій) результативних реабілітаційних програм. Результативність програми визначається переходом від більших початкових до менших кінцевих значень параметрів стану пацієнта внаслідок впливу вибраних варіантів реалізації програми. Перша модель (для знаходження мінімальної за сумарною вартістю кількості варіантів реалізації програми) сформульована задачею цілочислового нелінійного програмування та еквівалентною їй задачею цілочислового лінійного програмування. Друга модель (для знаходження мінімальної за зваженістю кількості варіантів) представлена задачею цілочислового квадратичного програмування. Третя (для знаходження мінімальної за зваженістю програми, вартість якої не перевищує задану вартість програми) сформульована задачею цілочислового квадратичного програмування. Алгоритмічні властивості побудованих моделей проілюстровано на прикладі задачі знаходження оптимальних за кількістю інтервенцій реабілітаційних програм, виконання яких координують фахівці мультидисциплінарної команди. Наведено розрахунки для модельного прикладу, де реабілітаційна програма пацієнта проводиться чотирма фахівцями мультидисциплінарної команди за трьома кодами Міжнародної класифікації функціонування, обмежень життєдіяльності та здоров’я.
Optimization of the integro-differential hyperbolic model
Authors: Anikushyn Andrii , Bondar Olena , Hranishak Khrystyna , Lyashko Victor
Published: November 2024

We consider a model of processes in viscoelastic media. The force arising inside the body may depend not only on the current values but also on the entire time history of the motion (for example, polymers, emulsions, and suspensions exhibit memory properties). Such processes often lead to the necessity of studying hyperbolic integro-differential equations with Volterra integral term. The main goal is to prove the existence and uniqueness of generalized solutions to the corresponding initial-boundary value problem, as well as to investigate the existence of optimal control for systems described by these models. The main results are obtained using the method of a priori inequalities in negative norms. In particular, we justify inequalities in negative norms for the integro-differential operator in certain functional spaces. The work begins with a short description of relevant results with similar formulations and referencing works with physical justification of the model. Afterwards, we describe the problem statement, constraints on equation parameters, and functional spaces used for the investigation. Below are the main results, in particular definitions of generalized solutions and properties on the well-posed of the initial-boundary value problem as well as the existence of optimal control. Control is carried out through the right-hand side of the equation using a certain special operator. It is possible to examine specific examples of such control operators (illustrating various control mechanisms) and the corresponding control spaces. By utilizing proven inequalities and relying on general results of S.I. Lyashko from the theory of a priori inequalities in negative norms, we establish sufficient conditions for the existence of optimal control. In particular, we impose the restrictions on the admissible set of controls and the quality criterion.
Stochastic differential formula and solution of control problem
Authors: Dziubenko Karen
Published: November 2024

Exact solution of finite-dimensional linear stochastic differential system with control is derived. Its uniqueness up to stochastic modification is proved. In order to achieve this, detailed grounding of existence for stochastic integral over a process with orthogonal increments is provided. Particularly, density of step-functions set in the set of all integrable functions is proved. Integration by parts formula for stochastic integral is derived. Analogue of Fubini theorem is proved in the case, when one measure is linear and another one is a random orthogonal measure. Stochastic differential formula for finite-dimensional integral functional is established. Formulation of Ito’s stochastic differential formula and its comparison with the result is presented. The solution formula for controlled linear stochastic differential system was conditionally used in applied sciences. Its rigorous proof provides the necessary background for further research.
Racism in the Chronicles of Doctor Moacyr Scliar
Authors: Faria Diniz Lemuel de , Marques Márcia Gomes , Rozza Soraia Geraldo , de Oliveira Leticia Silva , Nunes Bianca Nantes
Published: November 2024

The attention in this article falls on an expressive niche of Moacyr Scliar’s literature –the chronicles. Expanding the proposal that the writer made use of his experiences to compose his works, it is highlighted that the media, and among them cinema, are the target of the writer’s attention, they appear as a theme in his chronicles and appear in them as an intertext and intermidiatic reference. It is identified that his performance as a chronicler is marked by the logic of the press, with publications in newspapers and books. After mapping the phases attributed to his literature, there is a thematic association between medicine and cinema in his chronicles,in which cinema and film works appear as a compositional resource, as a motive or setting, to exemplify complex issues or to illustrate reflections in a concrete way about racism.
Imaging Modalities for Preoperative Staging of Rectal Cancer in Developing Countries: A Comparative Study of F-FDG PET/CT and MRI
Authors: Gandhi Nishita , Nanjegowda Soundarya Barani , Shirzada Shahpoor A. , Bansal Harsh
Published: November 2024

Rectal cancer represents a significant health care challenge globally, demanding accurate pre-operative staging to guide therapeutic interventions and prognostic estimations.This study aims to compare the efficacy and use of F-FDGPET/CT and MRI in preoperative staging of rectal cancer in developing countries such as india. Using a cross-sectional study design, a total of 70 patients diagnosed with rectal cancer were prospectively enrolled and equally divided Into group A and group B. For group A f- fdg PET/CT and for group B MRI was conducted. The primary outcome measures were accuracy, sensitivity, and specificity of each imaging modalityin detecting local tumor extent (T stage), lymph nodeinvolvement (N stage), and distant metastasis (M stage). Histopathological biopsy was taken for each patient and considered as reference standard. Data were analyzed using descriptive statistics and diagnostic accuracy measures.Results showed that both F-FDG PET/CT (71.4%) and MRI(75..5%) had high accuracy in T staging, with comparablesen sitivity (F -FDG PET/CT - 59.6%, MRI - 72.0%) and specificity ( F -FDG- 94.8% , MRI - 82.2%). MRI showed higher sensitivity ( 78.6%) in detecting lymph node involvement than F-FDG PET/CT (72.2%) .F-FDG PET/xCT demonstrated higher sensitivity in detecting distant metastasis compared to MRI. Conclusion: F-FDG PET/CT and MRI are comparable for preoperative staging of rectal cancer, with their own limitations and benifits . MRI provides detailed information about the local tissue involvement, and presence of lymph node metastases where as F-FDG PET/CT is more helpful in detecting distant metastases. But as MRI is more readily available and is more cost effective than F-FDG PET/CT in developing countries such as india, it should be used as the imaging modality of choice for pre - operative staging of rectal cancer.
ENRIQUECIMIENTO CARBÓNICO EN PLÁNTULAS DE TOMATE PARA INCREMENTAR EL NÚMERO DE FLORES Y FRUTOS POR PLANTA
Authors: Mejía-Bentancourt Francisca de los Á , Sánchez-Del Castillo Felipe , Moreno-Pérez Esa´´ú del C , Colinas-León María T.B
Published: November 2024

El tomate (Solanum lycopersicum L.) es la hortaliza más cultivada bajo invernadero. El objetivo del presente estudio fue favorecer la fotosíntesis de plántulas de tomate mediante enriquecimiento carbónico en esta etapa, que conduzca potencialmente a un mejor crecimiento y posteriormente a una mayor producción de flores y frutos por planta podada al tercer racimo. Se probaron tres niveles de bióxido de carbono (CO2) en plántulas de tomate aplicados de los 15 a los 35 días después de la siembra (dds). Las plántulas, crecidas en charolas de 60 cavidades, fueron acomodadas al interior de una cámara de crecimiento de 1 m3 de volumen. Para adicionar CO2 se utilizaron velas encendidas para lograr las siguientes concentraciones en ppm: ambiente natural al interior de la cámara (T1: 420-460), una vela (T2: 500-700), dos velas (T3: 700-1000) y el testigo fuera de la cámara y sin vela (T4: 317-402). El diseño usado fue bloques completos al azar con cuatro repeticiones. A los 30 dds se midieron variables fisiológicas, y a los 35 días altura, diámetro de tallo, área foliar y peso seco de las plántulas. El trasplante se hizo a los 35 dds a una densidad de ocho plantas m-2. Posteriormente, se midieron variables de rendimiento y sus componentes. Los resultados indicaron que con los tratamientos T2 y T3 las plántulas tuvieron mayor altura, área foliar y peso seco con respecto al testigo, y con el tratamiento T2 las plantas produjeron cuatro flores y cuatro frutos más que el testigo, asociado con una mayor tasa de asimilación de CO2 y conductancia estomática en las hojas. Se concluye que el enriquecimiento carbónico en plántulas de tomate favorece la fotosíntesis, y con ello se producen plántulas con calidad al trasplante y más flores y frutos por planta.
DETERMINACIÓN DE LOS PARÁMETROS CINÉTICOS Y ESTEQUIOMÉTRICOS DE CRECIMIENTO DEL FITOPATÓGENO Ralstonia solanacearum RsJ0314
Authors: Mendoza-Porcayo José L , De la Cruz-Alistac Elizabeht , Cedillo-Bahena Julio , Treviño-Quintanilla Luis , Hernández-Romano Jesús , Chávez-Béjar María I
Published: November 2024

Ralstonia solanacearum es una bacteria fitopatógena que provoca marchitez bacteriana en plantas de importancia económica en varias regiones de América. En este estudio se reporta por primera vez la caracterización cinética de la cepa RsJ0314 de R. solanacearum aislada en México la cual pertenece al filotipo II. Se evaluaron tres fuentes de carbono que se pueden encontrar en el xilema de la planta de tomate (Solanum lycopersicum). La velocidad específica de crecimiento y el tiempo de duplicación en glucosa fue 1.9 y 1.8 veces mayor que en sacarosa, mientras que la bacteria no creció en maltosa ni fructosa. Este estudio contribuye al conocimiento de los parámetros cinéticos de crecimiento de R. solanacearum, y constituye información necesaria para el desarrollo de aplicaciones biotecnológicas que ayuden al control biológico de esta bacteria. Además, este estudio será la base para comparar el crecimiento con otras cepas de esta especie aisladas en México o en otras partes del continente americano.
Evaluation of the Pandemic Normalization Process in Pediatric Surgery Operations: Tertiary Center Experience
Authors: Manduz Yavuz Büşra , İnal Düriye Gül , İnce İçten Ezgi , Yavuz Onur , Hancı Volkan , Olguner Çimen Gülben
Published: November 2024

Objectives: The aim of this study was to evaluate pandemicinormalization process in pediatric surgery operations.
Methods: This was a retrospective study conducted at a tertiary center. In our study, 917 individuals were included. It was defined as the period between June 2020, when normalization was announced after the first wave of the Coronavirusidisease-19 (COVID-19) pandemic in our country, and November 2020, when the second wave of measures began [Group 1 (n=393,42.7%)]. One year later was defined as the second period [Group 2 (n=525, 57.3%)], corresponding to the same time period (June 2021-November 2021).
Results: The median age of Group 1 was 5 years and Group 2 was 6 years (p <0.001). Emergency surgery was more common in Group 2 (31.1% vs 35.4%). General anesthesia is the most commonly perfomed anesthesia method in both groups (98.5% vs 97.3%). Abdominal operations were the most common in both groups (48% vs 49%). While the rate of laparoscopic surgery was 62% in Group 1, it was 62.1% in Group 2. A statistically significant difference was detected in preoperative COVID-19 polymeraseichain reaction (PCR) test examination Group 2 and postoperative COVID-19 PCR test examination Group 1. Lymphocyte and C-reactive protein (CRP) serum markers were similar between groups. There was no difference between the need for intensive care unit/postanesthesia care unit and mortality rates.
Conclusion: Although the number of pediatric surgical operations decreased during the normalization period, a successful process was managed in terms of the quality and results of the cases.
Medienhandeln, Medienkompetenz und Medienbildung aus handlungstheoretischer Sicht
Authors: Tulodziecki Gerhard
Published: November 2024

Handlungstheoretische Erwägungen basieren in der Medienpädagogik häufig auf Ansätzen zum kommunikativen Handeln. Ausgehend von deren Kritik lassen sich verschiedene Kriterien nennen, denen medienpädagogisch-handlungstheoretische Grundlagen entsprechen sollten. Solche Grundlagen werden in dem Beitrag mit Bezug auf Beispiele vorgestellt und diskutiert. Die Grundlagen erlauben eine differenzierte Diagnose des Medienhandelns und geben vielfältige Anregungen für medienpädagogische Einflussnahmen. (DIPF/Orig.)
Religionspädagogische Überlegungen zu einer werteorientierten Medienbildung in der Schule
Authors: Balceris Michael
Published: November 2024

Die Entwicklungen im Bereich Künstlicher Intelligenz (KI) stellen Schule und Unterricht vor große Herausforderungen, eröffnen gleichzeitig aber auch Chancen für ein Lernen über Medien sowie (medien)ethische Reflexionen. Ausgehend von einer handlungs- und entwicklungsorientierten Medienbildung wird aufgezeigt, welchen Beitrag eine religionspädagogische Perspektive zu einer werteorientierten Medienbildung im Kontext von Schule leisten kann und welche didaktischen Implikationen sich daraus für den (Religions-) Unterricht ergeben. (DIPF/Orig.)
Implikationen von Künstlicher Intelligenz für die Aus- und Fortbildung von Lehrpersonen
Authors: Aufenanger Stefan , Nicolas Michael
Published: November 2024

Die Entwicklungen im Bereich von Künstlicher Intelligenz fordern Schule, Elternhaus und Lehrkräftebildung auf verschiedenen Ebenen heraus. In einer Videokonferenz wurden unterschiedliche Perspektiven auf das Thema eingenommen und Erfahrungen ausgetauscht. Beispiele aus Schul- und Hochschulalltag konkretisieren den Einzug von KI in Bildungssettings. (DIPF/Orig.)