Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of Different Pruning Dates on The Growth And Fruit Yield of Falsa (Grevia asiatica L)

Introduction: There are many factors that have an effect on the quality and production of Falsa. Among those, pruning is taken into consideration a major issue answerable for production. Methods: The experiment was carried out on the Wayaro farm Uthal during the 2019–2020 growing season to examine the impact of various pruning dates on the yield and quality of Falsa (Grevia asiatica L). c.v Mera. Four treatments were included T1 (100 percent pruning the 15th of October, T2 (2nd pruning the 30th of October), T3 (3rd pruning the 15th of November) and T4 (30th of November) with four replications of the randomized complete block design (RCBD). Results: The results showed that T4 has a significant impact on the pre- and post-harvest parameters in Falsa, including days to sprout (9.45 days), days to flower (21.65 days), days to fruit setting (12.37 days), and yield of fruit plant (16.12 kg), while T1 has a minimal impact on these parameters (13.85 days), days to flower (33.51 days), days to fruit setting (14.19 days), and yield of fruit (12.78 kg). When compared to T1, T2 and T3 improved yield/plant and decreased days to blooming and days to sprout, but they were not significantly different from one another. Conclusion: The current study's conclusion is that orchard pruning management is extremely important for tree development and yield. Overall findings indicated that time of pruning is the most crucial aspect for Falsa plant development and optimal fruit yield
The Future of Work and Teleworking: A Conceptual Study of Employee Preferences, Managerial Strategies, and RTO Mandates

This conceptual paper examines how personality, mediated by cognitive processes as described by Ajzen’s (1991) Theory of Planned Behavior (TPB), influences employees’ attitudes toward tele-working. Research suggests that superior outcomes and attitudes associate with teleworking, but such research is one-dimensional because nomological relationships that associate attitudes and teleworking do not include cognitive components that research has long demonstrated predict atti-tudes. The current study constructs a richer, more predictive model that uses the TPB to explore, in greater depth, how employees’ attitudes associate with teleworking from home versus working in an office. The study uses a five-factor model to assess how individuals view teleworking based on traits that best classify personalities, offering managers greater understanding of the forces that shape employees’ work preferences.
Solitons and giants in matrix model

We present a method for solving BPS equations obtained in the collective‐field approach to matrix models. The method enables us to find BPS solutions and quantum excitations around these solutions in the one‐matrix model. These semiclassical solutions correspond to giant gravitons described by matrix models obtained in the framework of AdS/CFT correspondence.
Algorithmic means of ensuring network security and websites: trends, models, future cases

The purpose of the study is to establish probable trends in the development of algorithmic means of network security and the protection of web resources in the future. The research methods used in this publication are a bibliometric analysis of 500 relevant publications, which allowed us to establish probable trends in the future development of the subject field. The study found that currently the most likely algorithmic means of network security and website protection that will be intensively developed in the future are blockchain technologies (to protect inter-resource contact), deep and machine learning (to analyze and detect attacks and digital anomalies), artificial intelligence and neural networks (to develop complex security algorithms), and predictive analysis (to prevent possible attacks and malicious data injections). At the same time, technological development makes it possible to identify alternative security tools, including quantum and post-quantum cryptography (which is possible due to the development of quantum computing), augmented reality (which is the next iteration of the development of the interface between machine-human interaction), biometric identification (which is the next iteration of authentication and recognition systems) and DevSecOps (which is a promising technology for the production of digital tools and systems that have a relatively lower level of vulnerability to known digital threats). The correlative impact of Industry 4.0 technologies and solutions on the studied aspects of the security sector of the World Wide Web has been established. The growth of the network of devices requires the improvement of security algorithms in the paradigm of Industry 4.0 technologies, which will allow more effective detection and prevention of cyberattacks and protection of user data.
Search for a diffuse neutrino emission from the Milky-Way with the ANTARES experiment.

A search for a Galactic diffuse neutrino emission with the latest ANTARES data set is presented. Several models, like the KRA 𝛾 or CRINGE predict the neutrino flux produced from the interaction of cosmic rays with atomic and molecular gas in the Milky-Way. The latest ANTARES data samples (track-like and shower-like events induced by different neutrino interactions) are used to test these models via a maximum likelihood ratio method
The Relationship between Economic Growth and Fisheries Production in Türkiye

There is a lack of understanding of the fisheries production impact on the national economy, as the contribution of the industry to the Turkish economy has not been adequately reflected in the official Gross Domestic Product (GDP) statistics and economic research. Therefore, this paper aims to reveal the industry`s contribution to Türkiye's economic growth. We analysed the effect of fisheries production on economic growth by employing the Auto Regressive Distributed Lag (ARDL) model from 1990-2019. The results showed a positive relationship between fisheries production and economic growth in the long-term. We hope this paper will support the policy-makers and development agencies in their efforts to reshape the industry in Türkiye towards an increased role in economic development in a sustainable manner.
Proof Mining for Nonlinear Operator Theory:Four Case Studies on Accretive Operators, the Cauchy Problem and Nonexpansive Semigroups

We present the first applications of proof mining to the theory of partial differential equations as well as to set-valued operators in Banach spaces, in particular to abstract Cauchy problems generated by set-valued nonlinear operators that fulfill certain accretivity conditions. In relation to (various versions of) uniform accretivity we introduce a new notion of modulus of accretivity. A central result is an extraction of effective bounds on the convergence of the solution of the Cauchy problem to the zero of the operator that generates it. We also provide an example of an application for a specific partial differential equation. For such operators as well as for operators fulfilling the so-called $\phi$-expansivity property, again in general real Banach spaces, we give computable rates of convergence of their resolvents to their zeros. We give two applications of proof mining to nonlinear nonexpansive semigroups, analysing two completely different proofs of essentially the same statement and obtaining completely different bounds. More specifically we obtain effective bounds for the computation of the approximate common fixed points of one-parameter nonexpansive semigroups on a subset of a Banach space and (for a convex subset) we give corollaries on their asymptotic regularity with respect to Krasnoselskii's and Kuhfittig's iteration schemata. The bounds obtained in all the above works are all not only effective, but also highly uniform and of low complexity. We finally include a short comment on a different perspective of a (potential) proof-theoretic application to partial differential equations, namely a reverse mathematical study of a proof for the existence of a weak solution of the Navier-Stokes equations motivating future work.
Electrodeposition of zinc-nickel alloys from ethylene glycol-based electrolytes in presence of additives for corrosion protection

In the present work the electrodeposition of zinc-nickel alloys with 15-20 wt. % nickel from non-aqueous solutions based on ethylene glycol is investigated. Potentiostatic deposition conditions are used, which are found to offer optimal coating quality and superior control over composition. In addition, ammonium chloride is evaluated as additive to partially suppress zinc incorporation into the deposit and to enhance layer quality. Layers composition, surface morphology of the deposits and their anticorrosive properties are investigated. The electrochemical characteristics of the Zn-Ni electrolytes are studied using cyclic voltammetry measurements. From the phase composition point view, X-ray diffraction results confirm that a metastable γ phase is present in the as deposited Zn-Ni alloys with nickel content 16-18 wt. %. Corrosion tests show that the barrier behaviour against corrosion of Zn-Ni films electrodeposited from the NH4Cl containing bath is superior in comparison to layers plated from an additive-free bath. The use of the additive enlarges the grains and provides a compact surface structure, which upskills the anticorrosive behaviour of the deposit.
Airfoil performance degradation by coupling effects of supercooled raindrop icing and heavy rainfall

Icing and rainfall are the two critical meteorological factors that threaten the aircraft flight safety. A number of previous studies have shown their individual influences on aircraft aerodynamics; however, to date no studies on their coupling effects exist. In this paper, a numerical study is conducted to focus on the aerodynamic performance of a NACA 23012 airfoil exposed to heavy rain in the presence of an ice accretion by supercooled raindrop on the leading edge. An Eulerian–Lagrangian two-phase flow approach developed for rain simulation in our previous work is adopted here with some improvement in the turbulence model. A series of new phenomena about the aerodynamic performance and wake characteristics under the coupling effects of ice accretion and rainfall are found and discussed. These results do not seem to have been published previously and should be of significance to the aircraft industry for improved aircraft design and pilot training.
Comparison between the Effects of Acute Physical and Psychosocial Stress on Feedback-Based Learning

Stress modulates feedback-based learning, a process that has been implicated in declining mental function in aging and mental disorders. While acute physical and psychosocial stressors have been used interchangeably in studies on feedback-based learning, the two types of stressors involve distinct physiological and psychological processes. Whether the two types of stressors differentially influence feedback processing remains unclear. The present study compared the effects of physical and psychosocial stressors on feedback-based learning. Ninety-six subjects (Mage = 19.11 years; 50 female) completed either a cold pressor task (CPT) or mental arithmetic task (MAT), as the physical or psychosocial stressor, while electrocardiography and blood pressure were measured to assess cardiovascular stress reactivity (CVR). Self-ratings on the emotional valence of the stressors were also obtained. A probabilistic learning task was given prior to and after the stressors. Accuracy in selecting positive (Go accuracy) and avoiding negative stimuli (No-go accuracy) were recorded as learning outcomes. Repeated measures ANOVA and multiple regressions were used to compare the effects of two stressors and examine the effects of CVR and valence on the learning outcomes. The results showed that although the effects of CPT and MAT on feedback processing were not different, CVR and valence influenced Go and No-go accuracy, respectively. The results suggest that stress-modulated feedback-based learning involves multiple pathways and underscore the link between CVR and reward sensitivity. The findings have clinical implications and may contribute to a better understanding of human behavioral systems.
Hopf magnetic curves in the anti-de Sitter space ℍ31

We consider the anti-de Sitter space and the hyperbolic Hopf fibration . Using their description in terms of paraquaternions, we study the magnetic curves of the hyperbolic Hopf vector field. A complete classification is obtained for light-like magnetic curves, showing in particular the existence of periodic examples, and emphasizing their relationship with the hyperbolic Hopf fibration. Finally, we give a new interpretation of magnetic curves in using some techniques of Lie groups and Lie algebras.
Modified planar Luneburg lens millimetre-wave antenna for wide-angle beam scan having feed locations on a straight line

This study presents the design and characterisation of a modified planar Luneburg lens antenna operating at 30 GHz. A parallel plate lens structure with varying separation between the metal plates realises the required variation of phase velocity of the guided TE mode in the device. The focal points for different beam radiation directions are all placed on a straight line, thus simplifying the mechanical setup for steered beam and multi-beam systems. A planar slotline radiator excites the TE mode in the parallel plate structure. An optimisation process leads to best compromise between large directivity, large maximum scan angle and small side-lobes. As a result, measurements show that by moving the feed radiator on a straight line over ±40 mm, the beam maximum can be steered over more than ±35° with a gain drop of <3 dB. While scanning the beam from broadside direction towards ±35° scan angle, the worst-case side-lobe level deteriorates from 15 dB to about 10.5 dB. The proposed antenna shows peak directivity of 15.2 dBi and a large simulated power efficiency of 95%.
Spatial Differentiation Characteristics and Evaluation of Cu and Cd in Paddy Soil around a Copper Smelter

To accurately evaluate the distribution and bioavailability of potentially toxic elements (PTEs) such as Cu and Cd in farmlands near a copper smelter, we determined the total concentrations (Cu-T and Cd-T), various speciation concentrations of Cu and Cd and physicochemical properties of 18 paddy soil (or colloid) samples in Guixi town, Jiangxi province, China. The results showed that the concentrations of Cu-T and Cd-T in the soil around the smelter far exceeded the standard limits. Specifically, Cu ranged from 97.47 to 1294.63 mg·kg−1, with a coefficient of variation (CV) of 0.95; Cd ranged from 0.14 to 9.06 mg·kg−1, and the CV was 1.68. Furthermore, the pollution of PTEs continued to accumulate, posing a significant risk to the environment and human health. The findings from the analysis of soil and colloid indicated that the distribution characteristics of Cu and Cd speciations did not align with the total concentrations. The highest pollution points were found to be shifted to the residual fraction of Cu, organic fraction, and crystalline iron oxide fraction of Cd in soil. The dominant fraction of Cu in colloid was the amorphous iron oxide fraction, whereas Cd was the crystalline iron oxide fraction. The assessment of Cu and Cd migration (MR) revealed that Cd posed a greater ecological risk. Further examination of the properties of iron oxides in soil and colloid revealed that they played a crucial role in the migration and transformation of soil PTEs.
THE INFLUENCE OF BRAND EXPERIENCE AND BRAND PERSONALITY ON BRAND LOYALTY THROUGH BRAND LOVE

This research investigates the direct effect of brand experience and brand personality on brand love. It determines the immediate impact of brand experience, brand personality, and brand love on brand loyalty, as well as the indirect influence of brand experience and brand personality on brand loyalty through brand love for Avoskin skincare. This study used the path analysis method, and data collection was done using a questionnaire distributed online using google forms. The questionnaires collected are 160 respondents using the purposive sampling method as the sample collecting technique. From the results of the study, it was found that brand experience and brand personality have a positive effect on brand love. Brand experience and brand love positively affect brand loyalty, while brand personality does not affect brand loyalty. Brand experience and brand personality have a positive impact on brand loyalty through brand love. Therefore, Avoskin needs to increase brand experience and brand love because consumers who have positive experiences and high love for the brand can make repeat purchases and have a high level of loyalty to the brand.
Physiological mechanism of melatonin attenuating to osmotic stress tolerance in soybean seedlings

Drought is one of the most significant abiotic stress threatening to crop production worldwide. Soybean is a major legume crop with immense economic significance, but its production is highly dependent on optimum rainfall or abundant irrigation. As the global climate changes, it is more important to find solutions to make plants more resilient to drought. The prime aimed of the study is to investigate the effect of melatonin on drought tolerance in soybean and its potential mechanisms. Soybean seedlings were treated with 20% polyethylene glycol 6000 (PEG 6000) and subjected to osmotic stress (14 days) with or without 100 μM melatonin treatment. Our results revealed that melatonin supplementation significantly mitigated PEG-induced growth retardation and increased water absorption ability. Foliar application of melatonin also increased gas exchange and the chlorophyll fluorescence attributes by the mitigation of the osmotic-induced reduction of the reaction activity of photosystems I and II, net photosynthetic rate (Pn), stomatal conductance (Gs), transpiration rate (Tr), electron transport activity, and photosynthetic efficiency. In addition, PEG-induced elevated production of reactive oxygen species (ROS) and malondialdehyde (MDA) content were significantly reversed by melatonin treatment. Equally important, melatonin boosted the antioxidant activities of soybean plants. Moreover, osmotic stress substantially increased abscisic acid (ABA) accumulation in roots and leaves, while melatonin-received plant leaves accumulated less ABA but roots content higher ABA. Similarly, melatonin significantly suppressed ABA biosynthesis and signaling gene expression in soybean exposed to drought stress. Furthermore, osmotic stress significantly suppressed plasmalemma (GmPIPs) and tonoplast aquaporin (GmTIPs) genes expression, and their transcript abundance was up-regulated by melatonin co-addition. Taken together, our results indicated that melatonin potentially improves drought tolerance of soybean through the regulation of ABA and aquaporin gene expression, increasing photosynthetic efficiency as well as enhancing water uptake efficiency.
An Evaluation of X.509 Certificate Revocation and Related Privacy Issues in the Web PKI Ecosystem

Supporting users to transact with websites securely in a privacy-preserving manner has become more challenging than ever in the web ecosystem based on public key infrastructures. While establishing TLS (Transport Layer Security) secure channels to web servers, the X.509 certificates are typically used for server authentication. Such certificates must be correctly validated by the clients upon use. This paper discusses first the X.509 certificate format and the main entities (like standardization bodies, browser vendors, and organizations) involved in the definition, management, and processing of X.509 certificates. Subsequently, we concentrate on certificate revocation status checking (part of certificate validation) and the related privacy aspects. Through experiments, we show that some common web browsers still incorrectly or incompletely perform certificate revocation (status) checking, mainly for the non Extended Validation (non-EV) certificates, although the certificates contain useful extensions, and the web browsers implement partly this task. To this aim, we analyzed first the certificates in the Alexa Top 1 Million (Top1M) list containing the most widely accessed websites in August 2021. Then, we exploited a local testbed to assess common browsers’ behaviour while checking the revocation status of EV and non-EV certificates. For non-EV certificates, the soft-fail approach was typically encountered, meaning the web browsers established TLS connections with the web server even if the revocation data was not available. For the EV certificates, the browsers implemented stricter controls. We discuss privacy issues related to certificate status checking, outlining that the so-called OCSP stapling mechanism may respond better to client latency and user privacy concerns. Finally, we analyze the adoption of the OCSP stapling mechanism and the support for Google’s Certificate Transparency project in the Majestic Top1M list of website certificates in 2022. This work bridges the gap between X.509 standards/guidelines and real-world applications’ behaviour in applying recommendations while handling certificates.
Heating Drinking Water in Cold Season Improves Growth Performance via Enhancing Antioxidant Capacity and Rumen Fermentation Function of Beef Cattle

The research aimed to investigate the suitable drinking water temperature in winter and its effect on the growth performance, antioxidant capacity, and rumen fermentation function of beef cattle. A total of 40 beef cattle (640 ± 19.2 kg) were randomly divided into five treatments with eight cattle in each treatment raised in one pen according to initial body weight. Each treatment differed only in the temperature of drinking water, including the room-temperature water and four different heat water groups named RTW, HW_1, HW_2, HW_3, and HW_4. The measured water temperatures were 4.39 ± 2.546 °C, 10.6 ± 1.29 °C, 18.6 ± 1.52 °C, 26.3 ± 1.70 °C, and 32.5 ± 2.62 °C, respectively. The average daily gain (ADG) showed a significant linear increase during d 0 to 60 and a quadratic increase during d 31 to 60 with rising water temperature (p < 0.05), and the highest ADG of 1.1911 kg/d was calculated at a water temperature of 23.98 °C (R2 = 0.898). The average rectal temperature on d 30 (p = 0.01) and neutral detergent fiber digestibility (p < 0.01) increased linearly with increasing water temperature. Additionally, HW_2 reduced serum triiodothyronine, thyroxine, and malondialdehyde (p < 0.05), and increased serum total antioxidant capacity (p < 0.05) compared with RTW. Compared with HW_2, RTW had unfavorable effects on ruminal propionate, total volatile fatty acids, and cellulase concentrations (p < 0.05), and lower relative mRNA expression levels of claudin-4 (p < 0.01), occludin (p = 0.02), and zonula occludens-1 (p = 0.01) in the ruminal epithelium. Furthermore, RTW had a higher abundance of Prevotella (p = 0.04), Succinivibrionaceae_UCG-002 (p = 0.03), and Lachnospiraceae_UCG-004 (p = 0.03), and a lower abundance of Bifidobacteriaceae (p < 0.01) and Marinilabiliaceae (p = 0.05) in rumen compared to HW_2. Taken together, heated drinking water in cold climates could positively impact the growth performance, nutrient digestibility, antioxidant capacity, and rumen fermentation function of beef cattle. The optimal water temperature for maximizing ADG was calculated to be 23.98 °C under our conditions. Ruminal propionate and its producing bacteria including Prevotella, Succinivibrionaceae, and Lachnospiraceae might be important regulators of rumen fermentation of beef cattle drinking RTW under cold conditions.