Miracle-dz/UniFAR-FTUs huggingface dataset:
Consensus in first order nonlinear heterogeneous multi-agent systems with event-based sliding mode control

ABSTRACT This article is aimed at solving leader-following consensus problem with an event-based sliding mode controller. The proposed control technique is partitioned into two parts – a finite time consensus problem and an event-based control mechanism. Leader-following heterogeneous multi-agents of first order having inherent nonlinear dynamics have been analysed to demonstrate efficacy and robustness of the proposed controller. In the first part, states of the follower agents have been attempted to be kept in consistence with those of the virtual leader using sliding mode control. In the second part, an event-based implementation of the control law has been incorporated to minimise the computational load on, and energy expenditure of the computational device equipped with the agents, while ensuring that the desired closed-loop performance of the system is not compromised. The advantage of using such a scheme, i.e. an event-based sliding mode controller, lies in the robustness capabilities of sliding mode controller and reduced computational expense of event-based mechanism. Numerical simulations and mathematical foundations ascertain the effectuality of the controller proposed herein.
A significant loop of lake sedimentation state links catchment eco‐surroundings and lake biogenic regime shifts

As an important destination for upstream materials and element accumulation, lake sediments hold a multitude of contextual information about climatic changes and anthropogenic disturbances. However, understanding the lake sedimentation state to link catchment pressures and biogenic regime shifts remains challenging. To address this, research was conducted on the lake sedimentation state, including the dynamics, catchment drivers, effects on biogenic regimes, and responses to typical historical events using nine sediment cores from Dongting Lake, China, a typical global priority ecoregion. Three transitions of lake sedimentation state were distinguished over the century (1937, 1968, and 1993), whereby hydrologic dynamics and land‐use changes in the watershed were the direct drivers with relative contributions of 16.30% and 14.56%, respectively. Lake sedimentation state and organic matter inputs not only preceded sediment biogenic elements at the shift time but also exhibited nonlinear trigger effects on biogenic element contents (R2 = 0.47, p < 0.01), which promoted an increase in sediment biogenic element burial rates. Rate of change analysis indicated that intensive human activities altered the relationship between the sedimentation state and biogenic regime shift, thus revealing the response to anthropogenic events in the catchment. Pathways quantified by the partial least squares path model established the link between watershed attributes and lake biogenic properties via the lake sedimentation state. Our findings revealed a cascading linkage among catchment eco‐surroundings, lake sedimentation states, and biogenic regime shifts. The research further provided insights into driver‐response relationships in lake‐catchment systems.
Marie Poussepin’s Influence on Nursing from Her Vocation of Service and Charity

Abstract Objective: This work sought to describe the influence of Marie Poussepin on Nursing from her vocation of service and charity. Method: Historical-hermeneutic study with participation by 15 Dominican Sisters of Charity in the Presentation of the Blessed Virgin from the city of Manizales and Bogotá, Colombia, who answered semi-structured interviews. The information was gathered and recontextualized via the open and axial coding system through ATLAS.ti9 software. During the interpretation procedure, copying, intensive reading, note taking, analysis, first epigraph of the report, coding, grouping, and determination of categories was made, conducting information triangulation with existing evidence. Results: Three categories emerged: Responding to the call of Jesus through service to the community; Under the legacy of charity, respect for life and the dignity of human beings, and Caring for life as a foundation of nursing. The second category formulated the description that integrates the course of life and objectives of the institutions where the nuns interviewed work. Conclusion: The legacy by Marie Poussepin to nursing care has been manifested since the foundation of the work, influencing the disciplinary work through the vocational commitment of those who make up the congregation, imprinting a character of service and respect for others, in response to the love of God.
A Centralized IOT-Based Process Cycle Time Monitoring System for Line Balancing Study

This study proposes a Centralized IoT-based Process Cycle Time Monitoring System (CTMS) to improve the efficiency and accuracy of line balancing studies in a production line with a conveyor system. The traditional approach of measuring cycle time, typically done by manual observation and recording, can be prone to errors due to human factors such as fatigue or inaccuracies in manual recording. The proposed CTMS utilizes a combination of cutting-edge technologies such as a cloud database, android application, LABVIEW GUI, analogue infrared (IR) sensors, and appropriate controllers to improve the reliability of cycle time measurements. The system continuously monitors the production line and provides real-time data on cycle time, downtime, and other relevant metrics, allowing production engineers to quickly identify bottlenecks and areas for improvement. The results of the study demonstrate the potential of the CTMS to be applied and expanded to actual production lines with conveyor systems, providing a valuable tool for production engineers to develop strategies to reduce cycle time and ensure it is kept in check. The proposed CTMS is expected to have a positive impact on the efficiency and profitability of the production line by reducing downtime and increasing productivity.
From uniqueness to uniformity?

About the book: It is increasingly recognised that EU development cooperation policy has failed to meet its stated aims. In this book Arts and Dickson ask the obvious and important question: if the policy doesn’t work, why bother with it? The authors assess why EU development policy has become largely ineffective, citing among the external causal factors the liberalisation of trade, and the growing influence of US and international actors such as the World Bank and the International Monetary Fund upon EU policy. It also considers contributing factors within the EU such as the enlargement of its membership and the resulting shifts in priorities. It is this analysis of internal and external factors affecting the decline of EU development policy that makes this study both innovative and unique. It brings together an impressive range of contributors from different disciplines resulting in a thorough and intelligent assessment of the debate.
Impact of Big Data on Supply Chain Performance through Demand Forecasting

By enabling more precise demand forecasting, the use of big data has changed the field of supply chain management. Companies may more accurately predict customer demand by gathering and analyzing enormous amounts of data from many sources, including customer behaviors and market trends, and then adjusting their production and inventory levels accordingly. By ensuring that goods and services are accessible when and where they are required, this improves customer happiness in addition to the efficiency and cost-effectiveness of the supply chain. The data collected from both primary and secondary sources to achieve the research objectives. The data collected from hospitality industry and evaluated through SmartPLS software to investigate the hypothesized model. An online survey through a questionnaire was the data collection tools used for attaining data. A survey analysis was conducted on the individuals employed to the supply chain departments. In addition, the findings revealed a positive significant of big data on supply chain performance through demand forecasting. Overall, the impact of big data on supply chain performance through demand forecasting is significant and continues to drive innovation and improvement in the hospitality sector.
Molecular and phenotypic characterization of Colletotrichum plurivorum and Colletotrichum musae causing banana anthracnose disease in the Central Province of Sri Lanka

Most of the commercial banana cultivars in Sri Lanka are susceptible to anthracnose disease. Colletotrichum musae has been known as the causal agent of banana anthracnose for decades and the pathogen has been identified using morphological characteristics. Molecular analyses based on multigene phylogenetics are now standard protocols to identify Colletotrichum species. The present study was aimed at identifying Colletotrichum species causing banana anthracnose by molecular and phenotypic characterization. Thirty-seven isolates were obtained from ripened bananas showing anthracnose symptoms, collected from different locations in the Central Province of Sri Lanka. Of them, 36 were preliminarily identified as Colletotrichum based on conidial morphology. The remaining isolate did not sporulate during the entire study period. Ten isolates taken for molecular studies consisted of eight with orange/white arial mycelia and orange conidial masses, one with a white to greyish colony and blackish clusters of ascomata, and one with a white to faint pink colour colony. DNA extracted from each isolate was subjected to multi-gene DNA sequence analysis using ITS, TUB, GAPDH and GS loci. Based on phylogenetic analyses, eight isolates were identified as Colletotrichum musae, and the other two as C. plurivorum and C. siamense. The vegetative morphology of C. plurivorum differed considerably from C. musae and C. siamense. Slight differences in colony morphology were observed among the C. musae isolates. Freshly harvested healthy bananas were artificially inoculated with isolates of C. musae or C. plurivorum and produced typical anthracnose lesions within a week. The Colletotrichum siamense isolate failed to develop anthracnose symptoms. This is the first report of C. plurivorum causing banana anthracnose.
FEM modeling of solidly mounted film bulk acoustic resonator and gas sensor using PIB-sensitive layer

Abstract. The application of a film bulk acoustic resonator (FBAR) as a gas sensor is presented here. Zinc Oxide is used as a piezoelectric (PZE) material for the resonator and a Bragg reflector is made of Molybdenum and Silicon dioxide in proposed Solidly Mounted FBAR. The structure offers a high quality factor of 1209 at the resonance and shows a coupling coefficient of 7.51% for the 0.7-μm-thick PZE layer. To make it capable of working as a gas sensor, an additional sensitive layer for adsorption is used. A 0.51-μm-thin film of polymer-sensitive layer (polyisobutylene, PIB) is used on the top electrode. The adsorption of CH2Cl2 (dichloromethane, DCM) prompts the change in density of the PIB layer, which causes the change in resonance frequency of the FBAR. The simulation results have shown the sensitivity of 450 Hz/ppm for gas sensing for the above-mentioned structure. The sensitivity of the sensor depends on the characteristic frequencies of the device, which are further the function of the thickness of the resonating structure. No involvement of a harsh etching process in fabrication, in addition to immense sensitivity and quality factor, makes this sensor relevant for DCM sensing.
Streak recognition for a three-dimensional volumetric particle tracking velocimetry system. Discussion

A three-dimensional volumetric particle tracking velocimetry (VPTV) system is introduced for characterizing the full-scale velocity field of a three-dimensional domain. A streak recognition algorithm has been developed for this VPTV system to automatically detect the particle streaks in the image coordinate system with the extraction of their complete parameters, such as length, location, and angle. More than 90% of seeding particle streaks are identified and located with the coordinates of their endpoints in the image. A powerfulpattern recognition techniquēHough transform-is used to develop a unique crossover streak recognition algorithm. This streak recognition algorithm increases the image processing efficiency by avoiding visual inspection of the crossover streaks. It makes characterization of complicated flow fields, involving large amounts of image processing by the VPTV system, feasible. After integrating the streak recognition into the VPTV system, a full-scale, five-row section mockup of a Boeing 767-300 aircraft cabin is measured.
Face-to-Display Workforce: Forfeiting Pay Cuts in Favour of Flexibility

The coronavirus pandemic has highlighted the urgency of addressing flexibility in the workplace. Many employees are still undecided about whether to stay in their office premises or to work from home, as well as about the effect of their choice on income. In other words, would their flexibility in selecting their workplaces affect it? How would they react, if it is accompanied by a pay cut? Is working from home without any cuts the dream of employees? Our paper analyses the opinions of e-employees in three countries: Austria, the Czech Republic and Slovakia. Six hundred face-to-display employees participated in our research. The quantitative study was conducted with the aim of analysing their responses, examining who would like to benefit from flexibility accompanied with his/her reduced salary and what that would mean for the future. The data indicate that Austrian e-employees are much more open to salary cuts than those in the Czech Republic and Slovakia. The results also show that a higher age correlates positively with employees’ readiness to accept pay cuts. Similarly, the smaller the cut, the higher the readiness to accept it. The gender comparison shows that Czech and Slovak male breadwinners agree statistically more frequently ready to accept a reduction of their wages than women of the same nationality do. Received: 24 January 2023 / Accepted: 16 May 2023 / Published: 5 July 2023
Value of Serum Albumin Level in Assessment of Severity of Acute Bronchiolitis Assessed by Modified Tal Score

Background: Acute bronchiolitis is the inflammation of the bronchioles, which is most typically caused by a virus and is common in children under the age of two. The aim of this study was to evaluate if serum albumin levels on admission are associated with severity of illness in infants with Acute bronchiolitis according to their Modified Tal score. Methods: This single-center, case control observational study included 50 infants with acute bronchiolitis and 50 healthy infants as a control group. All cases were subjected to full history taking, complete clinical examination, modified Tal score and laboratory investigations as complete blood count, arterial blood gases, C reactive protein and serum albumin level. Results: Bronchiolitis group included 26 females and 24 males; their mean age was 7.5±4.8 months. There was no statistical difference between cases and control regarding their age, sex, gestational age, nutritional history or age of weaning. Most cases (42%) had mild disease, 38% of cases had moderate disease and 20% of cases had severe disease. Bronchiolitis group had statistically higher serum albumin compared to control group. Cases with severe bronchiolitis had statistically lower albumin level compared with moderate and mild cases. Serum albumin could detect cases with acute bronchiolitis from controls; AUC was 0.724 (CI: 0.626-0.822), p<0.001 and detect severe cases with acute bronchiolitis; AUC was 1, p<0.001. Conclusion: Serum albumin levels can be an objective, inexpensive and widely available biomarker to use in conjunction with the current clinical scores to diagnose and to assess severity of the disease
Age-Related Decline in Cervical Proprioception and Its Correlation with Functional Mobility and Limits of Stability Assessed Using Computerized Posturography: A Cross-Sectional Study Comparing Older (65+ Years) and Younger Adults

Cervical proprioception and its implications on postural stability are crucial in older adults. Understanding their relationship is important in understanding and preventing falls in older adults. This research aims to evaluate the proprioceptive, functional mobility, and limits of stability (LOS) variables among two age groups: individuals aged 65 and above and those below 65. A secondary goal of the study is to analyze the relationship between cervical proprioception, functional mobility, and the LOS. Methods: In this cross-sectional study, 100 participants each were included in the older and younger groups. Researchers employed the target reposition technique to assess cervical proprioception and measured the joint position error (JPE) in degrees. Functional mobility was estimated using the Berg balance scale (BBS) and timed up-and-go test (TUG). In addition, dynamic posturography was utilized to evaluate variables related to the LOS, including reaction time, maximum excursion, and directional control. Results: The magnitudes of the mean cervical JPE are larger (p < 0.001), and functional mobility (p < 0.001) and the LOS (p < 0.001) are impaired in older individuals compared to the younger ones. The cervical proprioception is significantly associated with functional mobility (p < 0.001), and the LOS (p < 0.001). Conclusion: In older adults aged above 65 years, cervical proprioception, functional mobility, and the LOS are impaired. Older adults with greater cervical JPE had more impaired functional mobility and LOS parameters. When evaluating or treating older adults with problems with their balance or falls, these factors should be considered.
The relationship between the Madden–Julian Oscillation and the North Atlantic Oscillation

In this study, the relationship between the Madden–Julian Oscillation (MJO) and the North Atlantic Oscillation (NAO) is investigated by analysing NAO events both when the MJO is active and inactive. The European Centre for Medium‐Range Weather Forecasts Re‐Analysis (ERA‐Interim) dataset is used, for the years 1979–2006 and the months December–February.
Herbal Plant Farming Development Strategy

The demand for herbal plants has increased significantlyin the last few years, especially during the covid 19pandemic. People believe that herbal products have savorsto maintain body immunity. The purpose of this study wasto analyze internal factors (strengths and weaknesses) andexternal factors (opportunities and threats), formulatepolicies, and identify priority strategies that can be appliedby farmers in developing herbal farming. This researchhad conducted in Pace Village, Silo District, JemberRegency, from August to November 2021. The analysisused internal and external factors analysis, SWOT matrix,and QSPM analysis to determine priority strategies. Theinternal and external factor analysis showed that herbalplant farming was in Region V with defend and maintainposition. Based on the SWOT matrix, eight strategies hadearned to develop a herbal business. Based on the QSPManalysis, the key strategy was to increase farmers'knowledge regarding the prospects and marketing ofherbal plants, with a total value of 8.365
A prospective study of 15 cases of fifth metacarpal neck fractures treated by antegrade single blunt-tip k wire: Surgical technique, clinico-radiological outcome

Introduction: Metacarpal fractures are among the most commonly treated upper extremity injuries in adults, and represent about 10% of all fractures. In this study we described a technique with antegrade pre bent blunt tip k wire fixation for 5 th metacarpal neck fracture in 15 patients with good functional outcome. Methods: Our study was conducted Between January 2016 and June 2017. In our study 15patients with fifth metacarpal neck fracture underwent surgical treatment with antegrade blunt tip k wire. A single blunt tip k wire with suitable diameter was used in 15 cases of fifth metacarpal neck fractures with dorsal angulation over 30°. An entry point was taken at the ulnar-dorsal base of the 5th metacarpal. The k wire was inserted in an antegrade approach. The k-wire was usually removed at about 4 weeks postoperatively after clinic radiological signs of union. Results: At final follow up, all fractures proceeded to bony union. The mean total active motion (TAM) was 263°. Mean preop neck shaft angle is 54.2 (n=15), mean post op neckshaft angle is 9.4. mean dash score 2.7 was observed. At 6 months follow up, all 15 patients had an excellent to good results and able to continue their routine work daily without any difficulty Conclusions: Antegrade intramedullary technique with pre-bent blunt-tip k wire is preferred as this method is technically simple, cost effective, less invasive, less perioperative complications, reproducible with excellent to good functional outcomes.
Risk Stratification for Herpes Simplex Virus Pneumonia Using Elastic Net Penalized Cox Proportional Hazard Algorithm with Enhanced Explainability

Herpes simplex virus (HSV) pneumonia is a serious and often fatal respiratory tract infection that occurs in immunocompromised individuals. The early detection of accurate risk stratification is essential in identifying patients who are at high risk of mortality and may benefit from more aggressive treatment. In this study, we developed and validated a risk stratification model for HSV bronchopneumonia using an elastic net penalized Cox proportional hazard algorithm. We analyzed data from a cohort of 104 critically ill patients with HSV bronchopneumonia identified in Chang Gung Memorial Hospital, Linkou, Taiwan: one of the largest tertiary medical centers in the world. A total of 109 predictors, both clinical and laboratory, were identified in this process to develop a risk stratification model that could accurately predict mortality in patients with HSV bronchopneumonia. This model was able to differentiate the risk of death and predict mortality in patients with HSV bronchopneumonia compared to the APACHE II score in the early stage of ICU admissions. Both hazard ratio coefficient and selection frequency were used as the metrics to enhance the explainability of the informative predictors. Our findings suggest that the elastic net penalized Cox proportional hazard algorithm is a promising tool for risk stratification in patients with HSV bronchopneumonia and could be useful in identifying those at high risk of mortality.
Citra Merek, Kualitas Produk, Promosi, Kualitas Pelayanan dan Kepuasan Konsumen

This writing aims to analyze and examine the effect of brand image, product quality, promotion and service quality on consumer satisfaction of telurgulungku in fun street Adam Malik. This type of research uses quantitative research methods with descriptive and associative approaches. The data model analysis used is multiple linear regression. The results showed that brand image, product quality, promotion and service quality had a significant effect on customer satisfaction partially or simultaneously. The brand image that is formed by my telurgulungku will well affect consumer satisfaction and in making Telurgulungku products pay attention to the quality of the product produced by providing an identity or characteristics compared to similar products on the market to consumers in terms of texture, taste, distinctive legit aroma and hygienic packaging. which guarantees the safety and cleanliness of the product when consumed by consumers. One of the ways to promote Telurgulungku is carried out by means of direct selling or a method of selling certain goods and services to consumers by face-to-face outside fixed shop locations by the marketing network. This shows that the influence of brand image, product quality, promotion and service quality is still effective in its use in world marketing in the present era.