Miracle-dz/UniFAR-FTUs huggingface dataset:
The Role of Emotional Intelligence in Leadership in the context of Portuguese Public Administration: the case of a Military Organization

The interest it the subject of Emotional Intelligence has been growing over the past few years, forcing an extension of its scope to many social and organizational sectors, including the command functions of police forces. However, the literature on the use of Emotional Intelligence in leadership roles, especially in the military context, is still very scarce.That said, this article has the general objective of analyzing the impact of Emotional Intelligence on Leadership. To this end, a Case Study was carried out at the Military Organization, where questionnaire inquiries were implemented, listening to 53 Officers and Sergeants Commanders of Detachment.Through the results obtained it is possible to verify that Emotional Intelligence influences the performance of the Officers and Sergeants Commanders of Detachment as leaders. Bearing this in mind and the general objective of the present article in account, it is possible to state that Emotional Intelligence has a great impact on Leadership.
The mediation effect of firm performance on the association between Two-tier Independent Boards and Green Innovation Practices: evidence from Indonesia

Purpose: This research examines the role of firm performance in the effect of a two-tier independent board on green innovation practices.Design/methodology/approach: This study employs a simple mediation model-4 using the Hayes Process approach to OLS regression with the R package. The dataset uses a total 518 public companies listed on the Indonesia Stock Exchange for 2017 to 2019, having 1,554 firm-year observations. Findings: The study revealed, based on the two-tier system, the role of a composite independent board on firm performance and green innovation is positive and significant. However, individual results for both independent commissaries and directors in terms of firm performance and green innovation practices are not significant. This result implies that a composite of independent boards is essential to reduce and mitigate the failure of corporate governance.Research limitations/implications: This research only applied a sample of companies from one country which adopted two-tier system. Future research might apply as a comparative analysis of those countries group with two-tier system versus countries group with one-tier system.Practical implications: First, companies need to enhance the knowledge and expertise of both independent directors and independent commissaries to improve their roles. Second, it is important to provide support for the campaign and incentives for green innovation practices. Third, insight drawn from this study leads to the latest regulation from the Financial Services Authority (as the representative of the Indonesian government), whereby independent directors are no longer mandatory for publicly listed companies starting in December 2021 and must be evaluated because the composite independent board is an effective tool to execute green projects and to accelerate the SDG agenda in 2030.Social Implications: The social implication of this study is companies’ awareness to produce more eco-based products, which are expected by stakeholders, can be actualized. Also, public perception shows companies with green products have better performance.Originality/value: This research is the first study examining the mediating role of firm performance on the effect of a two-tier independent board on green innovation practices. Second, this study introduces the latest methodology for the simple mediation model using a Hayes-based approach in the field of accounting with an open-source software R package.
Demography and Inequality: The Effect of Tax Composition

This paper investigates how aging societies lead to worsen distribution of income through tax composition measured by ratio of direct taxes to indirect taxes. The rationale follows: due to the political power of working age population emanating from majority of their share in the population, in a median voter model, they manage to shift the tax burden on aged population in an aging society through increasing direct taxes more than indirect taxes. This results in elevating income inequality in society. To estimate our hypothesis, we apply panel data using time and country fixed effects. Based on sample covering 110 countries from 1990-2020 and applying different inequality measures and robustness check, the empirical evidence considerably supports this hypothesis. The results hold firmly across the OECD and non-OECD countries together with strong and weak democracies.
A Proper Way to Install Trapezoidal Flumes for Measurements in Furrow Irrigation Systems

Accurate measurements of hydraulic characteristics of flow are needed for design and evaluation of irrigation systems. For measuring flow, flumes are commonly used. is in order to obtain accurate readings for flow measurement, flumes should not be submerged and the upstream flow should not be affected by the downstream flow. This study investigates a proper way to install trapezoidal flumes that can be applied in many ways to measure in flow and outflow discharge in furrow irrigation systems. During sixty field operations, it was discovered that the flume has to be installed at least four centimeters above the bottom of furrow, in addition to the alignment on each side. This is essential for proper functioning of the flume under the conditions of free flow. , Measurements made showed that if flume was held four centimeters above the bottom, the percentage of submergence in different depths of water, had met the standard rate (lower than 70% submergence), and hence the percentage of the error in flow measurement was reduced. In order to ensure the free flow in the trapezoidal flume, the large number of field operations showed that the entrance of the flume, which is used to analyze the inflow, has to be installed at a height of four centimeters or more above the bottom of furrow, with the condition that its entrance borders are strengthened. The exit of the flume should also be firmly fixed on the bottom of furrow in order not to impede the passage of flow, with the condition that beneath the flume the furrow bottom should be made deeper in order to create free flow. These recommendations are important, especially in furrow irrigation systems.
Particulate Matter Suppression and Heat Stress Relief in a Cage-free Hen House

Abstract. Compared to conventional cage production system, cage-free (CF) hen housing offers hens more space and opportunities to exercise their natural behaviors (e.g., perching, dust bathing, and foraging). However, CF housing poses many inherent environmental challenges, among which are high levels of particulate matter (PM). Spraying liquid agent (e.g., 125 mL m -2 per cm litter depth) has been shown to effectively mitigate the generation of PM by 60%-70% from CF henhouse litter in our previous lab-scale tests. The objectives of this study were to verify the lab-study findings of PM reduction with liquid spray on a commercial CF farm and to evaluate the cooling effect of liquid spray on hens in hot weather. This study was conducted with a commercial aviary CF house (50,000 laying hens) in Iowa during winter of 2017-2018 and summer of 2018. A water sprinkling system was installed in half of the experimental henhouse in the length direction (treatment section), whereas the other half of the henhouse served as the control. Results show that the PM emission was reduced by 37%-51%. Adjusting spray dosage according to litter depth is necessary for maintaining a certain reduction efficiency. Litter moisture content of the treatment sections was 9%-14% higher relative to the control, but NH 3 concentrations in treatment and control were similar. For the summer cooling, sprinkled hens had up to 7 o C lower body surface temperature than non-sprinkled one immediately after a 20-sec or 30 mL m -2 water spray. The sprinkled hens were still 5 o C cooler than the non-sprinkled ones 3 min after spray. The cooling effect for some birds lasted for about 10 min, but most would dry out soon under the testing conditions (temperature of 35 o C and relative humidity of 32%).
Impact of AI-Powered Technology on Religious Practices and Ethics: The Road Ahead

This article addresses the time lag problem with which human beings catch up with the speed with which technology in general and artificial intelligence (AI) in particular advance. The purpose of this exploratory research is to examine the impact of AI on religious practices and ethics, exploring the ways in which AI influences religious practices as well as the manner by which religious institutions may respond to ethical concerns and other challenges. This study will answer the following questions: Considering the ethical implications: 1) What are the potential positive benefits and 2) negative impacts of the use of technology, AI, and mobile apps on religious practices? 3) What are some ethical considerations? 4) What are the tasks ahead to promote ethical standards in the use of AI in religious practices? As there are ethical issues involved, religious institutions can play an active role in promoting ethical practices in the use of AI in religious practices. Keywords: artificial intelligence, ethics, religious practices, mobile apps, technology
Trajectory Clustering Approaches for Location Aware Services

Modern Geographic Information Systems (GIS) can handle dynamically moving objects. It is becoming possible to record data about the movement of people and objects at a large scale. Location Aware Service (LAS) is service as the application of which the service and information provided is determined by the user location. In this study, we consider the trajectory data to identify the important location for services. Clustering algorithms for these trajectory objects provide new and helpful information, e.g. location aware services, traffic jam detection and identifying the interest place. Trajectory data contains uncertain positional information. In this paper, DBSCAN, k-means and Fuzzy C Mean clustering approach for trajectory data is implemented and tested and in real dataset. The results are reported in this study.
Systems of care for ambulatory management of decompensated heart failure

Heart failure (HF) represents a worldwide health burden and the annual per patient cost to treat HF in the US is estimated at $24,383, with most of this expense driven by HF related hospitalizations. Decompensated HF is a leading cause for hospital admissions and is associated with an increased risk of subsequent morbidity and mortality. Many hospital admissions for decompensated HF are considered preventable with timely recognition and effective intervention.Systems of care that include interventions to facilitate early recognition, timely and appropriate intervention, intensification of care, and optimization to prevent recurrence can help successfully manage decompensated HF in the ambulatory setting and avoid hospitalization.
Effect of eight weeks land and sand based plyometric training on selected physical and physiological variables

The purpose of the study was to analyze the effect of eight weeks land based and sand based plyometric training on selected physical and physiological variables among inter collegiate level sportspersons pursuing their graduation under Kuvempu University. Subjects for the study were thirty (30) intercollegiate level sportspersons pursuing their graduation in Shivamogga. Their age ranged between 20 to 25 years. Purposive random sampling was observed in order to ascertain minimum levels of fitness of the sportspersons. Fifteen students each were placed randomly into plyometric training groups namely Land (N=15) and Sand (N=15) surfaces. In order to examine the efficacy of plyometric training on different surfaces following tests were conducted on all the subjects under the study. The subjects underwent these tests twice during the course of study i.e pre-test and post-test. The variables selected for the study were speed, dynamic strength, lower body explosiveness, agility, body composition and resting heart rate. Suitable standard tests were selected for assessing attributes. Paired sample ‘t’ test was used as a statistical technique apart from descriptive statistics. Within the limitations of the present investigation it is concluded that the speed aspect of physical fitness can be significantly enhanced through sand based plyometric training as compared to land based plyometric training.
What Is life? Rethinking Biology in Light of Fundamental Parameters

Defining life is an arduous task that has puzzled philosophers and scientists for centuries. Yet biology suffers from a lack of clear definition, putting biologists in a paradoxical situation where one can describe at the atomic level complex objects that remain globally poorly defined. One could assume that such descriptions make it possible to perfectly characterize living systems. However, many cases of misinterpretation put this assumption into perspective. In this article, we focus on critical parameters such as time, water, entropy, space, quantum properties, and electrostatic potential to redefine the nature of living matter, with special emphasis on biological coding. Where does the DNA double helix come from, why cannot the reproduction of living organisms occur without mutations, what are the limitations of the genetic code, and why do not all proteins have a stable three-dimensional structure? There are so many questions that cannot be resolved without considering the aforementioned parameters. Indeed, (i) time and space constrain many biological mechanisms and impose drastic solutions on living beings (enzymes, transporters); (ii) water controls the fidelity of DNA replication and the structure/disorder balance of proteins; (iii) entropy is the driving force of many enzymatic reactions and molecular interactions; (iv) quantum mechanisms explain why a molecule as simple as hydrocyanic acid (HCN) foreshadows the helical structure of DNA, how DNA is stabilized, why mutations occur, and how the Earth magnetic field can influence the migration of birds; (v) electrostatic potential controls epigenetic mechanisms, lipid raft functions, and virus infections. We consider that raising awareness of these basic parameters is critical for better understanding what life is, and how it handles order and chaos through a combination of genetic and epigenetic mechanisms. Thus, we propose to incorporate these parameters into the definition of life.
PENGEMBANGAN DADIH SEBAGAI PANGAN FUNGSIONAL PROBIOTIK ASLI SUMATERA BARAT

Dadih merupakan salah satu jenis susu fermentasi tradisional asli Sumatera Barat dan berpotensi dikembangkan sebagai salah satu pangan fungsional sumber probiotik. Dadih dibuat dari susu kerbau, namun penggunaan susu kerbau sebagai bahan baku dadih perlu dipertimbangkan seiring makin menurunnya populasi kerbau di Indonesia. Untuk itu, perlu dicari bahan baku alternatif penggantinya, antara lain susu sapi yang dimodifikasi melalui penguapan. Proses fermentasi secara alamiah dalam produksi dadih melibatkan berbagai jenis mikroba yang berasal dari alam. Kendala dalam fermentasi alamiah adalah sulit mengatur kondisi proses untuk menghasilkan dadih yang kualitasnya konsisten. Introduksi bakteri asam laktat probiotik sebagai starter serta penggunaan bahan tambahan pangan seperti enzim proteolitik, carboxymethyl celullose, gum arab, agar-agar, dan jeli dapat menghasilkan dadih yang bernilai fungsional probiotik, bermutu, dan berdaya saing. Berdasarkan manfaatnya sebagai bahan pangan fungsional asli Sumatera Barat, maka teknologi produksi dadih perlu diperbaiki untuk meningkatkan mutu produk serta nilai ekonomi dan peran sosiokulturnya.
A journey into the regulatory secrets of the de novo purine nucleotide biosynthesis

De novo purine nucleotide biosynthesis (DNPNB) consists of sequential reactions that are majorly conserved in living organisms. Several regulation events take place to maintain physiological concentrations of adenylate and guanylate nucleotides in cells and to fine-tune the production of purine nucleotides in response to changing cellular demands. Recent years have seen a renewed interest in the DNPNB enzymes, with some being highlighted as promising targets for therapeutic molecules. Herein, a review of two newly revealed modes of regulation of the DNPNB pathway has been carried out: i) the unprecedent allosteric regulation of one of the limiting enzymes of the pathway named inosine 5′-monophosphate dehydrogenase (IMPDH), and ii) the supramolecular assembly of DNPNB enzymes. Moreover, recent advances that revealed the therapeutic potential of DNPNB enzymes in bacteria could open the road for the pharmacological development of novel antibiotics.
Oxytocin Enhances Time-Dependent Responses in the Aggressive Zebrafish (Danio rerio)

Autism spectrum disorder (ASD) has become one of the most well-known disorders encountered since early childhood among people. Nowadays, the main concerns are its high prevalence and the lack of proper therapeutic interventions. In this way, the necessity of using animal models that can mimic some of the spectrum symptoms, besides deepening the mechanisms of occurrence, is undeniable. Oxytocin (OT) is often mentioned and linked to producing social domain improvements. The goal of the present study was to determine if different time exposures to OT can trigger distinct behavioral responses in zebrafish, potentially offering insights into autism therapy. To accomplish this goal, zebrafish were exposed to the same dose of OT (33.2 ng/mL OT) for one week but with different time frames, such as: continuous exposure for seven days, fifteen minutes per day for seven days, and every two days for the same amount of time. The behavior of the fish was recorded using the EthoVision XT 11.5 software, and each trial lasted four minutes. Specific parameters for locomotor activity and aggressive behavior were measured. Overall, zebrafish exposure to OT generated several improvements in locomotor activity and aggressive behavior. Moreover, the differences in the exposure period indicated that time is an important factor, showing that continuous exposure to OT was linked with better performance than exposure to the hormone every two days. At the same time, the most variable results were observed in the case of fish exposed every day to OT. Exposure to OT could lead to certain improvements in zebrafish behavior that can be time-sensitive. Nevertheless, further work is needed in order to investigate the mechanisms of action of OT in an ASD context.
A new method of failure analysis

The present paper develops a new failure analysis method under plane strain conditions considering a generalized linear yield criterion. The yield criterion and the stress equilibrium equations constitute a hyperbolic system of equations. It is shown that two auxiliary variables satisfy the equation of telegraphy. Simple analytical relationships connect these variables and the radii of curvature of the characteristic curves. The calculated radii of curvature allow for the corresponding characteristic net to be constructed. Then, the stress field is determined using another set of analytical relationships. Thus, a numerical procedure is only necessary for solving the equation of telegraphy. This equation can be integrated by the method of Riemann. In particular, Green’s function is the Bessel function of zero order. A simple example illustrates the general method.
Utilizing Artificial Intelligence for Text Segmentation from Images

The paper presents a deep learning-based approach for text segmentation from images, utilizing a combination of a Fully Convolutional Network (FCN) and a Recurrent Neural Network (RNN). The algorithm achieves high accuracy in identifying and separating text regions from non-text regions, performing well with diverse text styles, fonts, backgrounds
Active Learning-DETR: Cost-Effective Object Detection for Kitchen Waste

Object detection in kitchen waste faces numerous challenges, including a variety of target categories, significant morphological variations, and complex backgrounds, coupled with the scarcity of targeted datasets, resulting in limited research in this area. In response to these challenges, we integrate insights from real-world industrial scenarios of kitchen waste sorting and create, for the first time, a dataset comprising eight categories specifically designed for kitchen waste object detection. Furthermore, we initiate the integration of active learning (AL) methods into the object detection transformer (DETR) network, proposing the AL-DETR model—a high-precision detection model tailored for scenarios with limited samples. To overcome the drawback of DETR, which relies on a large amount of annotated data for training, we employ an AL strategy, annotating challenging samples with high uncertainty selected from a pool of unlabeled data, and integrating them back into the training set to enhance the model’s learning capability. AL-DETR also models non-local visual correlations between labeled and unlabeled samples, comparing differences in detection categories to identify relevant unlabeled samples. Additionally, we establish a robotic sorting platform with an end-effector integrating gripping and suction functionalities, accompanied by the development of visual detection and robot control software. The experimental results indicate that, in the dataset constructed for this study, which primarily focuses on detecting large objects, our approach achieves a minimum improvement of 9.23% compared to other methods, reaching state-of-the-art (SOTA) performance. Additionally, our method surpasses other AL approaches using the entire annotated dataset by more than 1.01% in mAP when the original dataset’s annotation data is only 82.5%. In practical testing, the sorting platform successfully accomplishes efficient detection and sorting of kitchen waste.
Modelling Land Surface Temperature from Satellite Data and Trigger by Land Use Land Cover Dynamics using Remote Sensing and GIS Technology, in Debra Tabor District, Ethiopia

Rapid changes in the land use/land cover (LULC) of a region have become a major environmental concern in recent times. This has led to unsustainable development with the reduction of green spaces and also changes in local climate. Land surface temperatures(LST) is important in global climate studies, in estimating radiation budgets in heat balance studies and as a control for climate models. The main goal of this paper is to quantify and examine the changes in the Land use/land cover and consequent changes in land surface temperature. Land surface temperature is strongly influenced by the ability of the surface to emit radiation, i.e. surface emissivity. This research was undertaken to analyze the potential of multispectral satellite data to retrieve or estimating land surface temperature over Debre Tabor District, from 1999 to 2014. LANDSAT-5 TM (Landsat Thematic Mapper) and LANDSAT-7 ETM+ (Landsat Enhanced Thematic Mapper) satellite images data of Debre Tabor district acquired on October 23, 1999, October 23, 2006 and November 3, 2014 were selected and used to this research for LULC classification. The thermal infrared bands of the Landsat data were used to retrieve land surface temperature. Supervised classification using Maximum Like Hood Classifier (MLC) was carryout for land use land cover classification and analysis. The result showed that the land use/land cover change was an important driver for Land Surface Temperature increase. Land Surface Temperature of the study area also increased by 0.2714 0 c and urban land, cultivated land, bare land has increased its coverage, the reaming shrub land and forest land decreased its coverage within 15-year period interval. The result was shows that impact of land use/land cover on Land Surface Temperature is high. Overall, remote sensing and geographic information system technologies were effective approaches for monitoring and analyzing the changes in Land use land cover and consequent changes in land surface temperature. Keywords : - LULC, LST, GIS, Remote sensing, MLC.