Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Climatic Characteristics of Water Vapor Transport Based on the Lagrangian Method: A Comparison between Meiyu in the Yangtze-Huaihe River Region and the Huaibei Rainy Season

Using an airflow trajectory model based on the Lagrangian method(HYSPLIT_4.9), combined with the massive gas block tracking method, the moisture transport characteristics of Meiyu in the Yangtze-Huaihe River region(YHMY) and Huaibei rainy season(HRS) are discussed and compared quantitatively in this study. The YHMY and HRS are shown to be two independent rainy seasons. The moisture in YHMY mainly comes from the Indian Ocean, the Pacific Ocean, and the Bay of Bengal–the South China Sea. Water vapor from the Indian Ocean accounts for more than 50% of the moisture in YHMY. For HRS, there is little difference between the Indian Ocean, the Pacific Ocean, the Bay of Bengal–the South China Sea, and the Eurasian continent. Compared to YHMY, the moisture from Indian Ocean decreases 20%, while the moisture from the Eurasian continent increases 19% during HRS. The water vapor from the Indian Ocean, the Pacific Ocean, and the Eurasian continent has a significant influence on the differences between YHMY and HRS in abnormal years. In wet YHMY years, the water vapor from Indian Ocean is 17% less than that in dry YHMY years, while the water vapor from Bay of Bengal–the South China Sea is 20% higher than in dry YHMY years. In wet HRS years, the moisture from the Indian Ocean is 19% higher than in dry HRS years.
EMPIRICAL ANALYSYS OF FINANCIAL INTERMEDIATION AND ECONOMIC GROWTH: THE CASE OF MACEDONIAN ECONOMY

The main goal of the paper is to examine the relationship between the financial sector and economic growth in the Republic of North Macedonia. The Macedonian economy has been facing slow development dynamics and low rates of economic growth for a long period of time. The reasons are certainly multidimensional and identifying them is quite complex. Hence, our task in the paper is to examine the impact of the financial sector on economic growth as one of the factors. First we provide a theoretical model for the analysis of the relationship between the financial sector and economic growth, while in the second part of the paper we use a methodology based on the single-country regression analysis to investigate the relationship between the financial sector measured through the lending activity of banks to private sector and economic growth measured as real GDP growth. Furthermore, we present a comparative analysis of the trend in the level of banking intermediation. The results of the analysis indicate that financial intermediation is a significant factor for the growth of the Macedonian economy through gross investments, which depicts that improving financial intermediation and reducing the interest rate will increase investments and encourage the growth of the Macedonian economy.
PENGEMBANGAN APLIKASI MANAJEMEN TUGAS DAN KINERJA KARYAWAN BERBASIS ANDROID ANDROID-BASED EMPLOYEE PERFORMANCE AND TASK MANAGEMENT APPLICATION DEVELOPMENT

Human resources are a determining factor for the survival of a company, both operating in the product and service sectors. One of the important human resources in a company or agency is employees. Based on the results of observations and interviews with several Unwaha employees, it is known that the administration system at Unwaha still needs improvement, including in terms of work reports, task management and time efficiency. Therefore it is necessary to do task management and employee performance to facilitate and increase employee productivity. The purpose of this research is to develop an application to make it easier for employees to accept assignments, do assignments, repair assignments, store data, and improve employee work time efficiency. This research was conducted from January to May 2021 at KH University. A. Wahab Hasbullah Jombang. The method used in this study is an experimental method with a quantitative approach. The system development model used is the Rapid Application Development (RAD) method. The results of the application development trial show that the application developed is in accordance with its function, namely making it easier for Unwaha employees to complete their tasks.
Rankwise Proportional Federated Learning

We introduce a new notion of fairness for federated learning called rankwise pro-portionality . In contrast to existing notions, we show that rankwise proportionality satisfies all of the following desiderata: it is guaranteed to exist for all learning paradigms including deep neural networks, it is robust to noise, and it is tunable to heterogeneity, i
Designing, Implementing, and Evaluating a Framework for Managing Concussions in Aotearoa New Zealand Secondary Schools: A Study Protocol

Adolescent concussions can potentially lead to cognitive and behavioural changes, affecting concentration and performance at school and in other activities. Although the Ministry of Education provides web-based guidelines for post-concussion student support, the implementation of these in the school setting is limited. Due to the complex school environment, a pragmatic methodology is needed to co-design implementation with relevant community stakeholders. We outline the protocol for designing and implementing a FRAmework for maNaging Concussions in New Zealand Secondary Schools (FRANCS) to support safe return to learn and activity for students. The framework draft was co-designed by school stakeholders and will be refined at organisational levels. We describe the theoretical underpinnings that informed the study design and outline the project phases. We use a systems thinking approach, Community Based Participatory Action Research
Dengue Viral RNA Levels in Peripheral Blood Mononuclear Cells are Associated with Disease Severity and Preexisting Dengue Immune Status

Background: Infection with dengue viruses (DENV) causes a wide range of manifestations from asymptomatic infection to a febrile illness called dengue fever (DF), to dengue hemorrhagic fever (DHF). The in vivo targets of DENV and the relation between the viral burden in these cells and disease severity are not known. Method: The levels of positive and negative strand viral RNA in peripheral blood monocytes, T/NK cells, and B cells and in plasma of DF and DHF cases were measured by quantitative RT-PCR. Results: Positive strand viral RNA was detected in monocytes, T/NK cells and B cells with the highest amounts found in B cells. Viral RNA levels in CD14+ cells and plasma were significantly higher in DHF compared to DF, and in cases with a secondary infection compared to those undergoing a primary infection. The distribution of viral RNA among cell subpopulations was similar in DF and DHF cases. Small amounts of negative strand RNA were found in a few cases only. The severity of plasma leakage correlated with viral RNA levels in plasma and in CD14+ cells. Conclusions: B cells were the principal cells containing DENV RNA in peripheral blood, but overall there was little active DENV RNA replication detectable in peripheral blood mononuclear cells (PBMC). Secondary infection and DHF were associated with higher viral burden in PBMC populations, especially CD14+ monocytes, suggesting that viral infection of these cells may be involved in disease pathogenesis. Citation: Srikiatkhachorn A, Wichit S, Gibbons RV, Green S, Libraty DH, et al. (2012) Dengue Viral RNA Levels in Peripheral Blood Mononuclear Cells Are Associated with Disease Severity and Preexisting Dengue Immune Status. PLoS ONE 7(12): e51335. doi:10.1371/journal.pone. 0051335 Editor: Heiman Frank Louis Wertheim, Oxford University, Viet Nam Received July 19, 2012; Accepted November 7, 2012; Published December 19, 2012 This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. Funding: This work was supported by National Institutes of Health Grant [NIH-P01AI34533] and the Military Infectious Disease Research Program. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing Interests: The authors have declared that no competing interests exist. * E-mail: anon.srikiatkhachorn@umassmed.edu
Design and Applications of Digital Differentiators Using Model Order Reduction Techniques

A model order reduction technique is employed to design novel digital differentiators. The new mapping technique from s domain to z domain conversion is investigated in this paper. The differentiators under consideration are second order one viz. Simpsons and Tick differentiators. The novel transfer functions obtained by the model order reduction technique can be used in many signal processing, Image processing applications. As an example, edge detection application is illustrated.
CNN Based Efficient Facial Emotion Recognition System for Children

An efficient and robust technique for facial expression analysis for the different human face image input is carried out. During the analysis with every dataset, it is analysed through the Convolution Neural network (CNN) method. In order to analyse the facial data in terms of emotions, at this stage of research it is considered with the three different emotions such as Happy, Sad and Anger. For the analysis of facial data for the very rarely occurring disorder autism disorder in the age group around 10 years termed as children age group. As an initial step of analysis of autism disorder emotion expressed through face is a significant symptom hence in the present research is carried out using the freely available Kaggle database to achieve the better accuracy and stability in the obtained results by the proposed technique of methodology. To show the proposed technique is better than the existing algorithms, two different database are considered and cross correlation among the database in terms of its efficiency are considered.
Structuring Strategy of Regional Technical Implementation Unit (UPTD) Regency

This study was conducted to explain the Strategy of Organizational Structuring Policies that have been implemented in Penajam Paser Utara Regency. This study aims to describe the strategy through the basis of Osborne and Gaebler's (2014) theory. This study takes a descriptive qualitative research design. Data collected were through interviews, observations, and documentation. The findings show that arrangement of Local Technical Unit in PPU Regency only had use three strategies involving Core, Customer and Control Strategies by both of Organizational through the institutional review, and institutional product and police by community. Meanwhile, the required strategy involved Core, Customer and Control, Consequence, and Culture Strategies. The UPTD organizational arrangement in Penajam Paser Utara Regency is carried out only with core strategy, control strategy, and customers strategy. In addition, there are five strategies needed by the East Kalimantan Provincial Organization Bureau and the Organization and Administration Division of Penajam Paser Utara Regency Distruct.
Fair Allocation in Hierarchies: A Compromise between Marginalism and Egalitarianism

This paper explores the fair allocation of economic surplus among individuals within hierarchical social structures, incorporating the seemingly conﬂicting principles of marginalism and egalitarianism. We formalize this situation as cooperative games with permission structures and introduce a novel class of allocation rules called egalitarian permission values , extending the traditional egalitarian Shapley values. Our main contribution lies in establishing an axiomatic foundation for this class of rules through a monotonicity axiom. Additionally, we provide a monotonicity-based foundation for the permission value as a special case. Our results also reveal that, in the presence of hierarchical structures, a monotonicity property alone is insuﬃcient to justify the adoption of linear allocation rules, which contrasts with the conventional ﬁndings in the literature
Collision Mitigation by Dolphin Ant Lion Optimizer Pre-Packet Scheduling Approach

A wireless sensor network (WSN) consists of distributed autonomous sensors deployed over a large geographical area. Wireless Sensor Networks (WSNs) are composed of large-scale sensors that are specifically assigned to do particular tasks, with a significant portion of these tasks involving reporting and monitoring activities. Nevertheless, because to the potential expansion of the network to several sensor nodes, the likelihood of collision is significantly increased. This research presents an innovative approach for conducting collision detection and mitigation in wireless sensor networks (WSN). The first step involves conducting a simulation of Wireless Sensor Networks (WSN), followed by the utilization of the Fractional Artificial Bee Colony (FABC) algorithm for the selection of cluster heads. In this context, the network-based parameter is derived by considering factors such as the Received Signal Strength Index (RSSI), priority level, delivery rate, and energy consumption. The Deep Recurrent Neural Network (DRNN) has been modified to suit the task of collision detection. The training of the deep recurrent neural network (DRNN) is conducted via the Lion Crow Search optimizer (LCSO). Following the completion of collision detection, the subsequent step involves the implementation of a collision mitigation process utilizing a pre-scheduling technique known as Dolphin Ant Lion Optimizer (Dolphin ALO). In this context, the evaluation of fitness encompasses many factors related to collision mitigation, including energy consumption, Sleep Index (SI), delivery rate, priority level, E-waste management, and E-save measures. The approach presented in this study demonstrated superior performance in terms of energy consumption, throughput, Packet Delivery Ratio (PDR), and collision detection rate. Specifically, it achieved the least energy consumption of 0.185, the greatest throughput of 0.815, the highest PDR of 0.815, and the highest collision detection rate of 0.930.
Hiligaynon Vocabulary Knowledge of Ilonggo Student Teachers

The Department of Education in the Philippines is implementing the K-12 curriculum, mandating native languages in classroom instruction from kindergarten to grade 3. However, teachers are not well-versed in the native language, particularly Hiligaynon, and are learning to use it as the language of instruction. A 2006 World Bank study found that children experience lower learning levels when their language is not used in school. UNESCO recommends prioritising mother tongue acquisition, recruiting teachers with cognitive proficiency in the first language, providing teacher training, and promoting policies that position parents as "first teachers. " Quantitative-descriptive research found that elementary teachers used 83% of the combination language, 6% of the mother tongue, and English was the least used. Hiligaynon vocabulary knowledge was highest in "Kinaandan Nga Panamyaw" and "Mga Numero", while English was the least used. Age, gender, high school, and elementary school did not significantly affect vocabulary knowledge.
The Integration of Business Model, Curriculum and Core Business Operation for Commerce Laboratory

Laboratories in vocational higher education have an important role in complementing the learning process for students to gain an optimum learning experience, especially in Vocational Colleges, where the quality of students is expected to possess skills and expertise that are applicable in the workplace. Laboratories in vocational higher education have many important roles in students' learning experiences, especially in the area where students are able to sharpen their practical skills by directly applying all the theories they have learned. This provides students with the opportunity to optimize and even master various skills relevant to their chosen field of study or profession. The optimization of student learning includes making laboratories function as real business entities, so that students can gain learning experiences in conditions that closely resemble those in the industry. One of the efforts to develop the potential of resources owned by a laboratory is to maximize the business potential of each laboratory, especially Commerce Laboratories. Integration between the business process and the learning process in commerce laboratories is necessary to ensure that both aspects run smoothly, rather than being misaligned. When the laboratory functions as a business entity, it can achieve maximum profit while simultaneously providing practical learning experiences to students.
Automatized Detection of Periodontal Bone Loss on Periapical Radiographs by Vision Transformer Networks

Several artificial intelligence-based models have been presented for the detection of periodontal bone loss (PBL), mostly using convolutional neural networks, which are the state of the art in deep learning. Given the emerging breakthrough of transformer networks in computer vision, we aimed to evaluate various models for automatized PBL detection. An image data set of 21,819 anonymized periapical radiographs from the upper/lower and anterior/posterior regions was assessed by calibrated dentists according to PBL. Five vision transformer networks (ViT-base/ViT-large from Google, BEiT-base/BEiT-large from Microsoft, DeiT-base from Facebook/Meta) were utilized and evaluated. Accuracy (ACC), sensitivity (SE), specificity (SP), positive/negative predictive value (PPV/NPV) and area under the ROC curve (AUC) were statistically determined. The overall diagnostic ACC and AUC values ranged from 83.4 to 85.2% and 0.899 to 0.918 for all evaluated transformer networks, respectively. Differences in diagnostic performance were evident for lower (ACC 94.1–96.7%; AUC 0.944–0.970) and upper anterior (86.7–90.2%; 0.948–0.958) and lower (85.6–87.2%; 0.913–0.937) and upper posterior teeth (78.1–81.0%; 0.851–0.875). In this study, only minor differences among the tested networks were detected for PBL detection. To increase the diagnostic performance and to support the clinical use of such networks, further optimisations with larger and manually annotated image data sets are needed.
Trend of Bronchial Hyperresponsiveness to Methacholine as a Cost Predictor of Mild-to-Moderate Asthma: A Twelve-Month Survey in Teenagers

Bronchial asthma is characterized by variable airflow obstruction, airway inflammation, and bronchial hyperresponsiveness (BHR) to non-specific stimuli. The role of underlying airway inflammation and of related long-lasting BHR has been suboptimally investigated in teenagers with mild-to-moderate asthma, as has the corresponding economic impact over time. The aim of the present study was to calculate the cost of mild-to-moderate atopic asthma in teenagers arising from their degree of persisting BHR over a twelve-month period. Methods: Patients aged 12–18 years with mild-to-moderate symptoms treated with fluticasone fumarate/vilanterol 92/22 mcg daily were retrospectively followed for 12 months. Usual spirometric parameters, BHR to methacholine (MCh), and resource consumption (visits, hospitalizations, systemic steroids and/or antibiotics courses, school days off) were assessed at recruitment (the index date) and after 6 and 12 months. Adherence to treatment was also calculated. The cost of asthma was calculated based on Italian tariffs and published papers. The trend over time in BHR and the association between response to MCh and total cost were investigated by using regression models adjusted for repeated measures. Results: 106 teenagers (53 males, age 15.9 ± 1.6 years) were investigated. The annual cost of asthma proved significantly related to the BHR trend: every increment of a factor 10 in the response to MCh was associated with a saving of EUR 184.90 (95% CI −305.89 to −63.90). BHR was progressively optimized after 6 and 12 months in relation to the patients’ compliance to treatment (≥70% of prescribed inhalation doses). Conclusions: the usual spirometric parameters are largely insufficient to reflect the effects of underlying persistent inflammation in milder forms of asthma in teenagers. In terms of clinical governance, the periodic assessment of non-specific BHR is the appropriate procedure from this point of view. Non-specific BHR proves a reliable procedure for predicting and monitoring the economic impact of mild-to-moderate asthma in teenagers over time.
Acuerdos de integración económica en Latinoamérica: efectos sobre los márgenes de comercio

This paper studies the effects of economic integration in Latin America on the margins of trade. The analysis is performed on eleven member countries of the Latin American Integration Association (LAIA). In order to do so, we use panel data for bilateral exports of goods from Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Mexico, Paraguay, Peru, Uruguay and Venezuela to a large group of trading partners over the period 1962-2005. We distinguish the effects of different levels of integration on trade margins; different “timing” (current period, short and long-term) and different sectors (primary goods and agricultural manufactures; industrial manufactures and mineral fuels, lubricants and related materials). Our results provide evidence about the benefits of regional integration. Despite appearing to have contributed most to boosting exports of goods that were already exported rather than to diversification, regional trade integration is in line with LAIA members’ development and industrialisation objectives, as trade margins have increased to a greater extent in industrial manufactures in the long term.
Examining the Impact of Supervisor and Co-Worker Incivility on Organizational Commitment Among Female Employees in Public Universities

Organizational commitment is an important factor for the success of any organization. However, incivility in the workplace can negatively impact employees' commitment to their organization. This study aims to examine the effect of supervisor and co-worker incivility on organizational commitment among female employees of public universities. A quantitative research method was employed in this study. Data was collected through a self-administered questionnaire from a sample of 200 female employees of public universities. The questionnaire included items on supervisor and co-worker incivility and organizational commitment. The data was analyzed using structural equational model. The results of the study showed that both supervisor and co-worker incivility had a negative effect on organizational commitment. Specifically, supervisor incivility had a stronger negative effect on organizational commitment than co-worker incivility. This study highlights the importance of addressing incivility in the workplace, particularly from supervisors, to promote organizational commitment among female employees of public universities. Organizations should implement strategies to prevent and address incivility, such as training programs for managers and employees on respectful communication and behavior, and clear policies on acceptable conduct in the workplace.