Miracle-dz/UniFAR-FTUs huggingface dataset:
Exogenous applications of salicylic acid alleviate the damaging effects of heat stress in chili (Capsicum frutescens L.) through improved antioxidant defense system

Due to global climate change, heat stress is a critical environmental factor for adversely affecting plant growth and productivity. It induces changes in cellular machinery and antioxidant enzymes’ functions in plants. The role of phytohormones especially salicylic acid (SA) is well documented to alleviate the heat stress-induced adverse effects in plants. Here, we investigated the ameliorative role of SA in heat-stressed chili (Capsicum frutescens L.) plants. For this purpose, four-week-old chili plants of three local cultivars (Moro, Tilhari and Ren-02) pretreated with 1 mM and 2 mM SA were subjected to heat stress (42 oC) for 72 h. Our results revealed that heat stress significantly reduced plant height, shoot biomass, chlorophyll contents and relative water contents, while it increased membrane peroxidation and hydrogen peroxide in all three chili cultivars. However, foliar spray with both concentrations of SA (particularly 2 mM) showed prominent recovery effects in high temperature exposed chili cultivars (Moro and Ren-02) with significantly improved biomass production, photosynthetic pigments, relative water contents, and catalase and peroxidase activities compared to their respective controls. Moreover, the foliar spray of 2 mM SA significantly reduced hydrogen peroxide and malonaldehyde contents under the heat stress conditions. In conclusion, SA significantly improved heat tolerance of chili plants by decreasing oxidative stress via increasing antioxidant activity and membrane stability.
Generalization of the Ignorance Score: Continuous Ranked Version and Its Decomposition

AbstractThe Brier score (BS) and its generalizations to the multicategory ranked probability score (RPS) and to the continuous ranked probability score (CRPS) are the prominent verification measures for probabilistic forecasts. Particularly, their decompositions into measures quantifying the reliability, resolution, and uncertainty of the forecasts are attractive. Information theory sets up the natural framework for forecast verification. Recently, it has been shown that the BS is a second-order approximation of the information-based ignorance score (IGN), which also contains easily interpretable components and can also be generalized to a ranked version (RIGN). Here, the IGN, its generalizations, and decompositions are systematically discussed in analogy to the variants of the BS. Additionally, a continuous ranked IGN (CRIGN) is introduced in analogy to the CRPS. The applicability and usefulness of the conceptually appealing CRIGN are illustrated, together with an algorithm to evaluate its components rel.
Minimal positive realizations for discrete‐time systems with state time‐delays

Purpose – Aims to formulate and solve the minimal positive realization problem for discrete‐time linear single‐input, single‐output systems with many state time‐delays.Design/methodology/approach – A conceptual discussion and approach are taken.Findings – Sufficient conditions for the existence of positive realizations of a given proper rational function are established. A procedure for computation of minimal positive realizations is presented and illustrated by an example.Originality/value – Extends an earlier method for positive discrete‐time systems with many state time‐delays.
On Extension of Almost Periodic Functions

In this note, we shall prove an extension theorem of almost periodic functions on a topological semifield. For the concept of topological semifield, see 1 and 2. Let E be an arbitrary topological semifield, E. a complete topological semifield. We consider the set M of all bounded function f: E-E. For f, g e M, we define its distance by p(f, g)sub d(f(x), g(x))= sup f(X)-E xE where xt denotes the absolute value of x. As easily seen, p(f, g) satisfies the well known axioms on a metric. Then M is a metric space over a topological semifield E. E. is complete, so M is complete. Definition 1. A function f(x)(x e E) is called almost periodic, if it is continuous on E, and if for every neighborhood U0,, (in E) there exists a neighborhood U,+ (in E) containing at least one element y=y(s) for which the relation d(f(x/y), f(x))e U, for all x--U:,+ holds. " Such an element y(e) is called an e-period of the function f. Then every almost periodic function is bounded on the topological semifield and therefore belongs to the space M. Definition 2. A set K of a metric space X over a topological semifield is called e-net for the set M of the space, if for every element f e M there exists an element f, e K such that p(f, f) e U0q,. Proposition (Extension of Hausdorf[’s theorem). In order that a set M in a metric space X over a topological semifield be compact, it is necessary that for every >0 there exists a finite e-net for M. If the space X is complete, then the condition is also sufficient. Proof of necessity: We assume that M is compact. Let f be an arbitrary element of M. If p(f, fi)e U,, for all f e M, then a finite e-net exists. If, however, this is not the case, then there exists an element ft. e M such that p(fi, f) e Uo,,. If for every element f e M either p(f, f) e U,, or p(fi., f) e U,,, then we have found a finite e-net. If, however, this does not hold, then there exists an element f such that (A, f3) e U,,, (f, f3) e U0q,. Continuing this way, we obtain elements f,fi. , . ,f for which p(fi, f)e U, if i cj. There exist two possibilities. Either the
Digitalization in Knowledge Management Systems for Project and Operational Management in Software Development to Increase Efficiency

PT Snack Sehat is a manufacturing company that produces healthy snacks and beverages in Indonesia. Its IT division has a software department that manages all creation and maintenance of information system projects. Although the software department planned and monitored project development thoroughly during their work, 42% of projects were late in 2020. Those late projects' costs led to financial loss and kept rising through 2020-2021. Digitalization is how technologies affect several aspects of life, like social interactions, business operations, and how people work. Digitalization improved and sped up knowledge-sharing processes within the organization. Since knowledge sharing is done more frequently, the absorptive capacity will also be improved. This brings up the question of how to design a KM program with digital tools that will help PT Snack Sehat to increase its efficiency in project development and operation support. The primary data for this research was gathered from KM Assessment using APO KM Framework and focus group discussion with top and middle-level managers from PT Snack Sehat. To develop a KM program, the research will use Six Steps KM Processes, which consist of KM Project, KM Assessment, KM Planning, K-Development, KM Implementation, and KM Evaluation. The development steps will include defining the objectives of the KM program, answering questions related to the knowledge management components (people, process, and technology), determining the knowledge management strategy based on KM objectives, and setting the action plan to get ten commitments from top-level management. The results show several processes and methods that need to be added to the current KM: KM Orientation & Training, Shadowing, Sharing Knowledge Checklist, Lesson Learned Document, Document Validation, and Document Organization. The complete knowledge management process will also be mapped in a Knowledge Stock and Flow Diagram using SECI Matrix. Keywords: Project Development, Operational Management, Six Steps KM Processes, SECI Matrix, Digitalization, Absorptive Capacity, Efficiency
Weighted Matrix Decomposition for Small Surface Defect Detection

Detecting small defects against a complex surface is highly challenging but crucial to ensure product quality in industry sectors. However, in the detection performance of existing methods, there remains a huge gap in the localization and segmentation of small defects with limited sizes and extremely weak feature representation. To address the above issue, this paper presents a weighted matrix decomposition model (WMD) for small defect detection against a complex surface. Firstly, a weighted matrix is constructed based on texture characteristics of RGB channels in the defect image, which aims to improve contrast between defects and the background. Based on the sparse and low-rank characteristics of small defects, the weighted matrix is then decomposed into low-rank and sparse matrices corresponding to the redundant background and defect areas, respectively. Finally, an automatic threshold segmentation method is used to obtain the optimal threshold and accurately segment the defect areas and their edges in the sparse matrix. The experimental results show that the proposed model outperforms state-of-the-art methods under various quantitative evaluation metrics and has broad industrial application prospects.
Using Social Media Data to Monitor Natural Disaster: A Multi Dimension Convolutional Neural Network Approach with Word Embedding

Social media has a significant role in natural disaster management, namely as an early warning and monitoring when natural disasters occur. Artificial intelligence can maximize the use of natural disaster social media messages for natural disaster management. The artificial intelligence system will classify social media message texts into three categories: eyewitness, non-eyewitness and don't-know. Messages with the eyewitness category are essential because they can provide the time and location of natural disasters. A common problem in text classification research is that feature extraction techniques ignore word meanings, omit word order information and produce high-dimensional data. In this study, a feature extraction technique can maintain word order information and meaning by using three-word embedding techniques, namely word2vec, fastText, and Glove. The result is data with 1D, 2D, and 3D dimensions. This study also proposes a data formation technique with new features by combining data from all word embedding techniques. The classification model is made using three Convolutional Neural Network (CNN) techniques, namely 1D CNN, 2D CNN and 3D CNN. The best accuracy results in this study were in the case of earthquakes 78.33%, forest fires 81.97%, and floods 78.33%. The calculation of the average accuracy shows that the 2D and 3D v1 data formation techniques work better than other techniques. Other results show that the proposed technique produces better average accuracy.
Plane-Strain Propagation of a Fluid-Driven Crack in a Permeable Rock with Fracture Toughness

A solution to the problem of a plane-strain fluid-driven crack propagation in elastic permeable rock with resistance to fracture is presented. The fracture is driven by injection of an incompressible Newtonian fluid at a constant rate. The solution, restricted to the case of zero lag between the fluid front and the fracture tip, evolves from the early-time regime when the fluid flow takes place mostly inside the crack toward the large-time response when most of the injected fluid is leaking from the crack into the surrounding rock. This transition further depends on a time-invariant partitioning between the energy expanded to overcome the rock fracture toughness and the energy dissipated in the viscous fluid flow in the fracture. A numerical approach is used to compute the solution for the normalized crack length and crack opening and net-fluid pressure profiles as a function of two dimensionless parameters: the leak-off/storage evolution parameter and the toughness/viscosity number. Relation of this solution to the various available asymptotic solutions is discussed. Obtained mapping of the solution onto the problem parametric space has a potential to simplify the tasks of design, modeling, and data inversion for hydraulic fracturing treatments and laboratory experiments.
Leveraging the Lab: How Pre-Founding R&D Collaboration Influences the Internationalization Timing of Academic Spin-Offs

Research shows that early internationalization is more likely when founders have international and business-related experience. But what if experience was obtained in other ways? We study the scientist-founders of 149 academic spin-offs (ASOs), using cognition theory to argue for a curvilinear relationship between breadth of pre-founding R&D collaboration and internationalization timing. Our longitudinal study combines survey and patent data to show that increased breadth of collaboration with international scientists increases and then decreases the likelihood of early internationalization. The results are similar but less robust for collaboration with industry partners. Our findings suggest that studies on experience in new venture internationalization underestimate the role of R&D collaboration and the research-based heritage of many new firms.
Blood cholinesterase activities and oxidative stress status among farmworkers using pesticides in Duhok, KRG, Iraq

Background: The use of pesticides by farmworkers poses considerable health risks. This study was undertaken to examine plasma and erythrocyte cholinesterase activities, plasma oxidative biomarkers malondialdehyde (MDA), and total antioxidant status (TAS) among farmworkers using different pesticide products in Duhok, northern of Iraq. Methods: This is a case-control study conducted between November 2021 to July 2022 on 92 male farmworkers who were exposed to pesticides in comparison with 44 non-exposed male subjects (control). The availability and uses of pesticides were obtained from 19 agrochemical shops and the farmworkers exposed to pesticides. Demographic data of pesticide-exposed farmworkers and their practice of pesticide applications were recorded. Plasma and erythrocyte cholinesterase activities and plasma MDA and TAS levels were determined in both groups. Results: The farmworkers had a significant 10.0% increase in plasma MDA level, with no significant changes in blood cholinesterase activities or the TAS level. Odds and risk ratios of reduced plasma cholinesterase activity (20.0%) suggested an association of health risks in pesticide-exposed farmworkers. Most of the pesticide products (278) in use were insecticides (47.0%), which comprised mainly 26.0% pyrethroids and 3.0-7.0% anticholinesterase insecticides, among others. The majority of the farmworkers (51%) were merely aware of the general target use of the pesticide, and 75% had an exposure history of > 5 years. Pesticide application was mostly (50.0%) manual, and 54.0% used insufficient personal protection equipment; 32.0% ate and drank at work, 48.0% practiced disposal of empty pesticide containers by burning and/or burying them, whereas 25.0% dumped the containers indiscriminately, and 25% disposed them at garbage sites openly. Conclusion: The farmworkers, with only a marginal increase in oxidative stress biomarker MDA, did not suffer from significant reductions in blood cholinesterase activities, although odds and risk ratios of reduced plasma cholinesterase activity suggested a health risk. Implementation of a national program is needed to measure pre-exposure blood cholinesterase activities in farmworkers.
Particle Deposition Onto Rough Surfaces

Predictions for the number of particles depositing from fully developed turbulence onto a fully roughened kk-type surface are obtained from the results of large-eddy simulations for a ribbed-channel flow. Simulation data are found to provide only partial support for the “mass-sink hypothesis,” i.e., the notion that all particles entering a mass sink, a volume of fluid extending vertically from the deposition surface, are captured and eventually deposited. The equality of the number of particles entering the mass sink and the number of particles depositing is attained, and a qualitative agreement with the empirical model of Wood (1981, “A Simple Method for the Calculation of Turbulent Deposition to Smooth and Rough Surfaces ,” J. Aerosol Sci., 12(3), pp. 275–290) for the height of this mass sink is obtained. However, a significant proportion of particles escapes from the mass sink and the equality of numbers is attained only because many particles deposit onto rib surfaces above the mass sink, without first entering the mass sink.
Diagnosing fuel ρR and ρR asymmetries in cryogenic deuterium-tritium implosions using charged-particle spectrometry at OMEGA

Determining fuel areal density (ρR) in moderate-ρR (100–200 mg/cm2) cryogenic deuterium-tritium (DT) implosions is challenging as it requires new spectrometry techniques and analysis methods to be developed. In this paper, we describe a new method for analyzing the spectrum of knock-on deuterons (KO-Ds), elastically scattered by primary DT neutrons, from which a fuel ρR can be inferred for values up to ∼200 mg/cm2. This new analysis method, which uses Monte Carlo modeling of a cryogenic DT implosion, improves significantly the previous analysis method in two fundamental ways. First, it is not affected by significant spatial-yield variations, which degrade the diagnosis of the fuel ρR (spatial yield variations of about ±20% are typically observed), and second, it does not break down when the fuel ρR exceeds ∼70 mg/cm2.
X-ray emitting BL Lacertae objects located by the scanning modulation collimator experiment on HEAO 1

It is established that BL Lacertae objects constitute a class of X-ray emitter by precisely locating X-ray sources identified with Mrk 421, PKS 0548-322, PKS 2155-304, and 2A 1219+305. Irregular variations of the order of 1 mag, characteristic of BL Lacertae objects, are reported for the last two objects. The measurement of an extremely steep X-ray spectrum from Mrk 421, in contrast to previous flat X-ray spectra above 3 keV, suggests that different structural states of an accretion disk are being observed.
Bone Disease in Chronic Kidney Disease and Kidney Transplant

Chronic Kidney Disease–Mineral and Bone Disorder (CKD-MBD) comprises alterations in calcium, phosphorus, parathyroid hormone (PTH), Vitamin D, and fibroblast growth factor-23 (FGF-23) metabolism, abnormalities in bone turnover, mineralization, volume, linear growth or strength, and vascular calcification leading to an increase in bone fractures and vascular disease, which ultimately result in high morbidity and mortality. The bone component of CKD-MBD, referred to as renal osteodystrophy, starts early during the course of CKD as a result of the effects of progressive reduction in kidney function which modify the tight interaction between mineral, hormonal, and other biochemical mediators of cell function that ultimately lead to bone disease. In addition, other factors, such as osteoporosis not apparently dependent on the typical pathophysiologic abnormalities resulting from altered kidney function, may accompany the different varieties of renal osteodystrophy leading to an increment in the risk of bone fracture. After kidney transplantation, these bone alterations and others directly associated or not with changes in kidney function may persist, progress or transform into a different entity due to new pathogenetic mechanisms. With time, these alterations may improve or worsen depending to a large extent on the restoration of kidney function and correction of the metabolic abnormalities developed during the course of CKD. In this paper, we review the bone lesions that occur during both CKD progression and after kidney transplant and analyze the factors involved in their pathogenesis as a means to raise awareness of their complexity and interrelationship.
Therapeutic effects of Bombax ceiba flower aqueous extracts against loperamide-induced constipation in mice

Abstract Context Bombax ceiba Linnaeus (Bombacaceae) is known as silk cotton tree, the flowers of which are used in many medicinal applications. Objective To investigate the therapeutic effect of B. ceiba flower aqueous extracts (BCE) against loperamide-induced constipation and characterize the chemical composition of BCE. Materials and methods Sixty male Kunming mice were divided into control (saline), model (10 mg/kg loperamide + saline), phenolphthalein (10 mg/kg loperamide + 10 mg/kg phenolphthalein) and different dosage of BCE (10 mg/kg loperamide + 40, 80 and 160 mg/kg BCE, respectively) groups, and received intragastric administrations for eight days. Faecal water content, number of faeces, first black-stool defecation time and gastrointestinal transit rates were evaluated. Various biochemical and molecular biomarkers were assessed in blood and colon. UPLC-ESI-QTOF-MS/MS was used to tentatively identify the composition of the BCE. Results BCE treatment (160 mg/kg) could increase faecal water (15.75%), faeces number (11.65%), gastrointestinal transit rate (25.37%) and decrease first black-stool defecation time (24.04%). The BCE (80 mg/kg) increased the serum level of motilin (30.62%), gastrin (54.46%) and substance P (18.99%), and decreased somatostatin (19.47%). Additionally, the BCE (160 mg/kg) reduced the mucosal damage, restored colonic goblet cell function, down-regulated the protein expression of AQP3 (33.60%) and increased c-kit protein expression (11.63%). Twelve known compounds, including protocatechuic acid, chlorogenic acid and rutin, previously reported in B. ceiba, were identified in the BCE. Discussion and conclusions This study suggested that BCE is a promising agent for the treatment of constipation.
Population variability of vegetative organs of Dahurian larch in Eastern Transbaikalia

The available information on the morphological diversity and localization of the morphological forms of Dahurian larch (Larix gmelinii) in Siberia is currently insufficient. This research seeks to fill the knowledge gaps to some extent. The paper describes the population variability of vegetative organs of Larix gmelinii growing in Eastern Transbaikalia, Russia. The problem is approached by studying a complex of morphological characters of natural Larix gmelinii populations along the Transbaikalian rivers. Also, the habitat conditions of Dahurian larch coenopopulations were recorded for further analysis of the connection between the morphological characters and the habitat parameters. The study established the values of morphological characters and their variability limits and traced the localization patterns of the morphological forms of Dahurian larch in the river basins. Moreover, the morphological characters of larch vegetative organs were found to relate to the location and the habitat conditions of the coenopopulations. The research materials can be useful for correcting the larch seeding zones in Transbaikalia, establishing larch genetic reserves, and introducing new morphological forms into the selection for urban beautification and protective plantations. The study provides additional information on the morphological variability patterns of Larix gmelinii for the area of species in general. Keywords: Eastern Transbaikalia, Larix gmelinii, vegetative organs, population variability
Dizziness in a tertiary neurological department: A cross‐sectional study

Dizziness is a common and challenging symptom, which can be caused by different pathophysiological mechanisms and might affect a large number of population. However, up to now, there have been limited research on the characteristics of dizziness as the chief complaint in hospitalized patients in the Department of Neurology. Thus, the aim of this study was to investigate the hospitalized patients with dizziness as their chief complaint in the Department of Neurology.