Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of Just In Time Toward Corporate Performance: Mediating Role Of Total Quality Management

Industry in Indonesia faces challenges that are not easy. Companies are required to be able to increase their competitive advantage, both in the domestic and global markets. Companies are trying to implement various management systems, including management systems, including Just in Time (JIT) and Total Quality Management (TQM) in order to improve company performance. This study aims to: 1) determine and analyze the effect of just in time on total quality management. 2) determine and analyze the effect of total quality management on operational performance, 3) determine and analyze the effect of just in time on operational performance. The type of research is causal associative. The data used is primary data obtained through questionnaires were prepared with closed questions using a semantic differential scale. The number of samples used was 270 and the regression analysis used the AMOS computer program. The results state that just in time has a positive effect on total quality management. Total Quality management has a positive effect on operational performance. Just in time has a positive effect on operational performance, but the indirect effect on operational performance through total quality management becomes stronger.
The radial growth response of American beech (Fagus grandifolia) to small canopy gaps in a northern hardwood forest

POAGE, N. J. (Department of Forest Science, Oregon State University, Corvallis, OR 97331 5705) AND D. R. PEART (Department of Biological Sciences, Dartmouth College, Hanover, NH 03755). The radial growth response of American beech (Fagus grandifolia) to small canopy gaps in a northern hardwood forest. Bull. Torrey Bot. Club 120: 45-48. 1993. -American beech (Fagus grandifolia, Ehrh.) is the most shade tolerant of the canopy dominant tree species in the northern hardwood forest at Hubbard Brook, New Hampshire. Nevertheless, subcanopy beech trees responded significantly to small canopy gaps (28-103 m2) by increasing radial growth compared to shaded trees. Gap-edge canopy trees did not respond to canopy gaps. Radial growth was significantly and positively correlated with DBH for shaded subcanopy trees; this relationship was much weaker for subcanopy trees in gaps. That even the canopy dominant species with the most extreme shade tolerant strategy responds substantially to canopy gaps reinforces the view of the central role of gap formation in forest dynamics.
Understanding Chinese Postgraduates’ Silence in EFL Flipped Classroom

: Flipped classroom has been widely promoted in higher institutions while students were found to be silent in the offline classroom. Given the insufficient understanding of students’ silence among postgraduates in the Chinese educational context, this study aims to investigate their perceptions of silence in flipped classrooms and the reasons behind it. A qualitative study was conducted with data obtained from semi-structured interviews among 14 postgraduates who specialize in diverse English domains. The interview data revealed that students’ anxiety in speaking English, the teacher-lead learning atmosphere, and the influence of Confucian culture are the primary reasons for students’ silence when interacting with teachers and other students in the offline classroom. Implications for future study and suggestions to cope with the silence were provided in order to promote the effective integration of flipped classrooms and the learning environment in China.
Realidad aumentada (RA) en el contexto de usuarios finales geoposicionados

Resumen: Se describen los resultados del desarrollo de un framework para aplicaciones de Realidad Aumentada (RA), generando como resultado un demostrador tecnologico que facilita la administracion de contenidos y explotacion de catalogos virtuales aumentados. Se presentan los componentes del sistema, las aplicaciones resultantes y las pruebas de campo realizadas. Abstract: The results of the development of a framework for applications of Augmented Reality (AR ), generating as a result a technology demonstrator that provides content management and increased use of virtual catalogs are described . system components , the resulting applications and field tests are presented. Palabras Clave: computacion grafica, realidad aumentada, sistemas de catalogos, aumentacion para dispositivos moviles. Key Words: computer graphics, augmented reality, systems of catalogs, augmentation for mobile devices.
Role of Ethylene in the Regulation of Plant Developmental Processes

Ethylene, a gaseous phytohormone, is emerging as a central player in the intricate web of plant developmental processes from germination to senescence under optimal and stressed conditions. The presence of ethylene has been noted in different plant parts, including the stems, leaves, flowers, roots, seeds, and fruits. This review aims to provide a comprehensive overview of the regulatory impact of ethylene on pivotal plant developmental processes, such as cell division and elongation, senescence, abscission, fruit and flower development, root hair formation, chloroplast maturation, and photosynthesis. The review also encompasses ethylene biosynthesis and signaling: a snapshot of the regulatory mechanisms governing ethylene production. Understanding of the impact of ethylene’s regulatory functions on plant developmental processes has significant implications for agriculture, biotechnology, and our fundamental comprehension of plant biology. This review underscores the potential of ethylene to revolutionize plant development and crop management.
Does managerial overconfidence affect capital structure rebalancing for entrepreneurial firms?

PurposeThe behavioural theory adds a new paradigm of analysis with the assumptions of the decision maker’s cognitive biases and their repercussions on financing decisions. The aim of the study is to analyse the repercussions of these biases on the adjustment speed of firm’s capital structure toward the optimal level.Design/methodology/approachBased on a partial adjustment model, the study uses the Dynamic Panel Fractional estimator to analyse panel data from 4,990 Portuguese entrepreneurial firms.FindingsThe results show that the cognitive overconfidence bias impacts the entrepreneurial firm’s capital structure. In fact, the firms run by overconfident managers adjust more slowly than their counterparts. Furthermore, the findings suggest that entrepreneurial firms make relatively fast adjustments toward the optimal debt level and follow a hierarchical financing order in the funding process.Practical implicationsThe results of this paper are not only interesting to the academia, but also contain practical implications for corporate, institutional and business policy and governance. First, the paper introduces a new measure of cognitive bias in optimistic managers, which is useful for current and future academic research. Also, in practical terms, the findings of the paper reveal that when a company is contemplating hiring a manager, it should consider whether they need an optimistic or non-optimistic manager based on the company's present life cycle or situation.Originality/valueThe current analysis extends the existing literature. The study suggests that financial classical and behavioural paradigms should not be separated, which can provide evidence to help narrow the gap between these two major perspectives.
WOCE Pacific Ocean Radiocarbon Program

Fieldwork for the World Ocean Circulation Experiment (WOCE) radiocarbon program was recently completed. Ca. 9000 samples were collected for analysis using both conventional β-counting techniques and the newer AMS technique. The mean uncertainty for the β analyses is 3‰; for AMS analyses, ca. 4.5‰.
Global Warming and Future Food Production

A continuing challenge facing the ongoing growing world human populations is global food security. The most threatening environmental planetary problem is global warming. In this review I suggest that bread wheat, the major world staple food, needs genetic improvement to cope with its genetic impoverishment also due to the climate change predicament. The best hope to genetically improve bread wheat is to use the rich biotic and abiotic genetic resources of the wheat progenitor, wild emmer wheat, Triticum dicoccoides (TD), whose place of origin and highest genetic diversity is in northern Israel, the eastern Upper Galilee and Golan Heights. Remarkably, TD is affected both negatively and positively by global warming. Hence, it is imperative to conserve TD both in- situ, and ex- situ, in order to secure its genetic resources for future bread wheat improvement. This will in turn, secure future food production and prevent the predicament of a massive world hunger.
Identification of new criteria for differentiating between populations of Owenia fusiformis (Annelida Polychaeta) from different origins : rehabilitation of old species and erection of new species

*dentification de nouveaux criteres permettant la differentiation des populations d'Owenia fusiformis (Annelida Polychaeta) de differentes origines geographiques: rehabilitation d'especes anciennement decrites et definition de nouvelles especes. Ce travail est une contribution a l'etude de populations geographiquement distinctes d'Owenia fusiformis Delle Chiaje. Il definit de nouveaux criteres morphologiques bases sur l'observation, a l'aide du MEB, de la region anterieure (tentacules et thorax) et de la region abdominale (crochets et soies). Les resultats de cette description de specimens identifies tout d'abord comme Owenia fusiformis Delle Chiaje et provenant de 14 aires geographiques, ont ete compares avec le materiel de la zone type, en Mediterranee Occidentale, constituant le 15 e site. Une liste de plus de 40 caracteres, portant a la fois sur les structures dures et molles, a ete etablie. Il a ete possible 1) de confirmer l'existence de 3 especes deja decrites: O. collaris Hartman, 1955, O. johnsoni Blake, 2000; O. gomsoni Koh & Bhaud, 2001; 2) d'annoncer la description de deux nouvelles especes: O. polaris et O. borealis (Koh, Bhaud & Jirkov, 2003) pour la region septentrionale de l'Atlantique Nord; 3) de decrire dans le present travail deux nouvelles especes: Owenia petersenae a partir d'individus recoltes en Nouvelle-Zelande, et Owenia sp (Golfe Persique); 4) de proposer la rehabilitation de deux especes: O. brasiliensis Hansen, 1882 et O. assimilis (Sars, 1851) sous reserve d'une nouvelle description. La variabilite a ete testee entre differentes parties d'un seul tore, entre differents segments du corps, entre differents specimens de la meme zone d'origine (echelle locale), et a une echelle geographique regionale. Enfin, ces comparaisons basees sur 15 sources geographiques constituent une etude de la variabilite du genre a l'echelle mondiale.
A Novel Approach to Identify Sources of Errors in IMERG for GPM Ground Validation

AbstractThe comparison of satellite and high-quality, ground-based estimates of precipitation is an important means to assess the confidence in satellite-based algorithms and to provide a benchmark for their continued development and future improvement. To these ends, it is beneficial to identify sources of estimation uncertainty, thereby facilitating a precise understanding of the origins of the problem. This is especially true for new datasets such as the Integrated Multisatellite Retrievals for GPM (IMERG) product, which provides global precipitation gridded at a high resolution using measurements from different sources and techniques. Here, IMERG is evaluated against a dense network of gauges in the mid-Atlantic region of the United States. A novel approach is presented, leveraging ancillary variables in IMERG to attribute the errors to the individual instruments or techniques within the algorithm. As a whole, IMERG exhibits some misses and false alarms for rain detection, while its rain-rate estimate.
Profiling European citizen scientist: Evidence from Poland

This article investigates the profile of citizen scientists in Poland who actively participated in a project to inform the Polish government's strategic objectives for 2050. While citizen science, involving public collaboration in scientific research, has been extensively studied in various countries, a notable gap exists in understanding the characteristics of citizen scientists in Poland. Employing a methodology that integrates both qualitative and quantitative approaches, the study utilises a collaborative survey and online deliberations to gain insights into the profiles of Polish citizen scientists. The article's primary focus is on delineating the demographics of Polish citizen scientists and comparing them to the characteristics of their peers’ established profiles in other European countries. Intriguingly, our analysis reveals that the environment and green transition theme predominantly attracted male citizen scientists, deviating from prevailing literature that typically associates environmental citizen science with higher female involvement. Additionally, the key findings suggest a portrait of Polish citizen scientists as an older, educated cohort with a discernible concern for societal issues. The article emphasises the importance of these insights for shaping the landscape of citizen science in Poland and provides guidance for similar future initiatives.
Omadacycline for the Treatment of Severe Chlamydia psittaci Pneumonia Complicated with Guillain-Barre Syndrome

Background Chlamydia psittaci (C. psittaci) is a pathogen that is seldom implicated in community-acquired pneumonia and is rarely linked to severe pneumonia. Reports of severe C. psittaci pneumonia accompanied by Guillain-Barre syndrome (GBS) are scarce. Tetracyclines are the preferred therapeutic approach for psittacosis. Omadacycline, a novel tetracycline, demonstrates strong antibacterial efficacy against typical bacteria and atypical pathogens, including C. psittaci. However, its application in the treatment of psittacosis pneumonia remains constrained. Case Presentation A 77-year-old female patient was admitted to the hospital presenting with symptoms of fever, low back pain, and headache. The diagnosis of C. psittaci was established through the utilization of metagenomic next-generation sequencing (mNGS). Initial administration of moxifloxacin, meropenem, piperacillin-tazobactam, and doxycycline proved to be ineffective. Subsequent omadacycline leaded to the successful resolution of fever and dyspnea. However, after the endotracheal tube was removed, the patient experienced a rapid decline in symmetrical limb strength, leading to a diagnosis of GBS based on clinical manifestations, cerebrospinal fluid analysis, and electromyography. Following a 5-day course of immunoglobulin therapy and nutritional nerve treatment, the patient’s condition ameliorated, culminating in an uncomplicated discharge. Conclusion This case provides evidence supporting the potential use of omadacycline as a therapeutic option for the treatment of severe C. psittaci pneumonia. The utilization of mNGS technology is of paramount importance in the prompt identification of uncommon pathogens, including C. psittaci. Nevertheless, the occurrence of GBS should be taken into consideration when C. psittaci pneumonia is accompanied by symmetrical limb weakness. These findings have important implications for the diagnosis, treatment, and management of patients with C. psittaci pneumonia.
Stability Criteria for Impulsive Stochastic Functional Differential Systems With Distributed-Delay Dependent Impulsive Effects

In this short note, we consider time-varying stochastic functional differential systems with distributed-delay dependent impulsive effects. Such systems arise from a large number of applications, such as financial markets and population dynamics. By developing some inequality techniques and then combining stochastic analysis theory, Lyapunov approach, some stability criteria for such systems are established. The feature of the criteria shows that derivatives of the Razumikhin functions are allowed to be indefinite, and the restrictions with respect to the system parameters is very loose. Finally, we carry out two numerical experiments to show the usefulness and significance of the criteria.
Complete mitochondrial genome of the southern painted turtle (Chrysemys dorsalis, Testudines: Emydidae) in Korea

Abstract The complete mitochondrial genome of Chrysemys dorsalis in Korea was sequenced and characterized. The mitochondrial genome is 17,258 bp in length and the GC content is 39%. It is constituted of 37 genes, 13 protein-coding genes, 22 transfer RNA genes, 2 ribosomal RNA genes, and a noncoding region. Phylogenetic analysis reveals that C. dorsalis forms a monophyletic group with C. picta turtles but is distinctly separated from them, aligning with previous findings. In Korea, C. dorsalis forms a discrete clade, separate from both native and invasive turtle species. No evidence of genetic disturbance or intermingling is observed. This is the first case of a complete mitochondrial genome from C. dorsalis and provides crucial data for understanding C. dorsalis and managing invasive species effectively, emphasizing the need for continued mitochondrial genome data accumulation.
Towards Continuous Floating Invasive Plant Removal Using Unmanned Surface Vehicles and Computer Vision

Deficient domestic wastewater management, industrial waste, and floating debris are some leading factors that contribute to inland water pollution. The surplus of minerals and nutrients in overly contaminated zones can lead to the invasion of different invasive weeds. Lemnoideae, commonly known as duckweed, is a family of floating plants that has no leaves or stems and forms dense colonies with a fast growth rate. If not controlled, duckweed establishes a green layer on the surface and depletes fish and other organisms of oxygen and sunlight. In the last decades, duckweed blooms have become an expensive plague to remove in Lake Titicaca, causing significant biodiversity and economic losses. To address this issue, we propose the development of an unmanned surface vehicle (USV) to continuously monitor and collect duckweed. This device includes a steering angle estimation system (SAE) that combines a duckweed detector, a steering angle classifier, and a momentum-inspired module to determine continuously the orientation of the USV when it is inspecting a zone. We train and test our deep learning-based models with two novel datasets: first, a dataset for end-to-end steering angle classification collected synthetically using a bespoke simulator; and second, a dataset for duckweed detection. An experimental evaluation of the USV and SAE system is provided in virtual and outdoor environments.
Correlation between H. pylori infection and serum levels of inflammatory markers: A retrospective study

Infection with Helicobacter pylori (H. pylori) is a significant issue that affects gastrointestinal health on a global scale. It has been related to several severe side effects, including gastritis, peptic ulcers, and stomach cancer. Identifying reliable biomarkers for early detection and monitoring of H. pylori infections is crucial for improving patient outcomes. Our study aimed to analyze laboratory variables as potential biomarkers for detecting and evaluating H. pylori infections. To achieve this, we conducted retrospective research using information from 500 patients with and without H—pylori infection. C-reactive protein (CRP), interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-alpha), vitamin D3 levels, alanine transaminase (ALT), and aspartate transaminase (AST) were among the laboratory variables we gathered and examined. Descriptive statistics and correlation analyses were used in our study. The findings of our study imply that CRP and IL-6 levels show potential as markers of the inflammatory response brought on by H. pylori infection. Additionally, we found that vitamin D3 deficiency may influence how infected patients' immune systems react to this pathogen. However, none of the characteristics under research or the TNF-alpha levels we found were significantly correlated with H. pylori infection. The conclusions drawn from our study offer important information on potential biomarkers for identifying and keeping track of H. pylori infections. We can ultimately improve patient outcomes and lessen the burden of sickness this pathogen brings by enhancing the detection and evaluation of H. pylori infections. More research is required to confirm.
Pengaruh Corporate Environmental Performance dan Intellectual Capital terhadap Sustainability Reporting dengan Good Corporate Governance Sebagai Moderasi

The purpose of this study is to be able to react to that given by the company's environmental performance as well as intellectual capital to sustainability reporting with good corporate governance as moderation. The data used in this study comes from secondary data. Where the companies used in this study are companies that are categorized into the mining sector, other industries, consumer goods, infrastructure, utilities and transportation industries by the Indonesia Stock Exchange (IDX) during the 2017-2019 period. Sampling in this study using purposive sampling technique so that the number of companies used in this study were 42 companies. The data that has been collected is then tested using panel data regression analysis. The results obtained are based on data processing obtained by the company's environmental performance which has a significant positive effect on sustainability reporting, while intellectual capital does not have a significant positive effect on sustainability reporting. The research variables of good corporate governance do not moderate the influence of corporate environmental performance and intellectual capital on sustainability reporting.
Malware Classification Using Xgboost With Vote Based Backward Feature Elimination Technique

Malware is one of the most popular threats today, and it is rapidly becoming a significant threat to Internet security. Malware is computer code written by cyber criminals with the intent of causing extensive harm to data and infrastructure or gaining unauthorized access to a network. There are several methods are employed to detect the malware with signature based and behaviour based techniques. Several machine learning techniques are used for classification of malware files. The traditional techniques are not efficient to detect the malware. To efficiently classify the malware, we proposed the XGB with Vote based Backward Feature Elimination technique (XGB-VBFE) which selects the optimal features to build the model and classifies the files with higher accuracy. The performance of the proposed system is compared with other machine learning algorithms such as SVM and Random Forest and proved to be better in accuracy, precision and recall. The proposed XGB-VBFE classifies the files with the accuracy of 99.50%, precision 0.99 and recall 0.96.