Miracle-dz/UniFAR-FTUs huggingface dataset:
Defoliation and water leaf potential effects on oenological properties of Merlot (Vitis vinifera L.) grape must

This research was carried out to determine the effects of leaf water potential and defoliation treatments on the oenological properties of grape must. Merlot/41B graft combination grapevines were cultivated in Chateau Kalpak vineyards in Tekirdağ, Şarköy. The trial was carried out for two consecutive years in the vineyard in the vegetation periods of 2019–2020 and 2020–2021. Leaf water potential treatments were S0 (Control = no irrigation), S1 (–0.3/–0.5 MPa), S2 (–0.5/–0.7 MPa) and S3 (<–0.7 MPa) and defoliation treatments were implemented as; Control(C), Full Window(FW), Right Window(RW) and Left Window (LW). As a result, the S2 (–0.5 MPa and –0.7 MPa) stress level resulted in more balanced responses, as seen in the combination of years in terms of both primary and secondary metabolites. The RW defoliation treatment may cause higher primary and secondary metabolite values in all criteria.
Morphological Evaluation of Supramolecular Soft Materials Obtained through Co-Assembly Processes

Low-molecular-weight gelators (LMWGs) are compounds with an intrinsic tendency to self-assemble forming various supramolecular architectures via non-covalent interactions. Considering that the development of supramolecular assemblies through the synergy of molecules is not entirely understood at the molecular level, this study introduced a Fmoc-short peptide and four Fmoc-amino acids as building blocks for the self-assembly/co-assembly process. Hence, we investigated the formation of supramolecular gels starting from the molecular aggregation following two triggering approaches: solvent/co-solvent method and pH switch. The complex morphological analysis (POM, AFM, and STEM) offered an insight into the spontaneous formation of well-ordered nanoaggregates. Briefly, POM and AFM images demonstrated that self-assembled gels present various morphologies like dendrimer, spherulite, and vesicle, whereas all co-assembled supramolecular systems exhibit fibrillar morphologies as a result of the interaction between co-partners of each system. STEM study has confirmed that the molecules interact and join together, finally forming a fibrous network, an aspect seen in both self-assembled and co-assembled gels. XRD allowed the determination of the molecular arrangement. The study emphasized that the Fmoc motif protected the amino groups and facilitated gelation through additional π-π interactions.
Functional types sensitivity to climate change in Sierra Norte of Oaxaca, Mexico

Temperature raise and changes in precipitation expected under climate change scenarios will impact on species distribution at regional al global level; although in Mexico few studies of plant species vulnerability exist. The objectives of this study were: a) to determine plant functional types of plants based on life forms; b) to determine biogeography distribution and actual climate and altitude gradients and, c) to define vulnerability of plant functional types under climate change scenarios in Sierra Norte of Oaxaca (SNO). Potential response of functional groups was based on an ensemble of eight general circulation models with four emissions scenarios at global scale and, a Japanese model of *Departamento de Geografia Fisica, Instituto de Geografia, Universidad Nacional Autonoma de Mexico, Circuito Exterior, Ciudad Universitaria, 04510, Coyoacan, Mexico, D. F. E-mail: lgalicia@igg.unam. mx **Centro Interdisciplinario de Investigacion para el Desarrollo Integral (CIIDIR), Unidad Oaxaca, Hornos No. 1003, Col. Noche Buena, Santa Cruz Xoxocotlan, Oaxaca, Mexico.
Uncertainty in land allocation decisions for Vancouver Island : an application of fuzzy multiple objective programming

An increasing amount of weight is placed on non-timber values when management or allocation plans for woodlands are considered. In addition, the public is becoming more involved in the planning process. Both trends are evident on Vancouver Island, particularly in the recently completed work of the Commission on Resources and Environment (CORE), a multiple interest group process. A great deal of uncertainty is associated with decision-making situations of this type, due both to the complexity of the problem and the necessity to reconcile conflicting and poorly defined objectives. This study explored the use of fuzzy set theory as a tool for incorporating uncertainty into models used to inform decision-making processes. Two types of uncertainty were considered; vagueness in the identification and ranking of objectives and imprecision in the specification of problem parameters. Fuzzy set theory was used to construct a fuzzy multiple objective linear program (FMOLP) to capture the vagueness of objectives for the land-use allocation problem on Vancouver Island. This model was then extended through the use of possibility theory to a fuzzy possibilistic multiple objective linear program (FPMOLP), allowing consideration of the problem with imprecise parameters. Results were compared to those from a more traditional goal programming approach. Results from the FMOLP provided a better solution than did the goal programming approach when measured by the criteria of the degree of satisfaction of the problem's objectives. The FMOLP provided a higher degree of satisfaction to the majority of objectives considered, and yielded an allocation scheme where more of the land base was in multiple use and protected areas than did the goal program. Results from the FPMOLP were interpreted as a sensitivity analysis of the model with respect to uncertainty of parameter specification. It was demonstrated that the solution was sensitive to the level of parameter uncertainty considere. The methodology employed allowed only for general insights into this problem, proving a poor tool for this type of analysis.
Generation of Advanced ERS and Envisat Interferometric SAR Products Using the Stable Point Network Technique

The advanced differential interferometric SAR techniques (A-DINSAR), based on time series of SAR images, are powerful geodetic tools for land deformation monitoring. This paper, which is focused on a particular A-DINSAR technique, named Stable Point Network, concisely outlines its characteristics and describes its products: average deformation maps, deformation time series, and the maps of the residual topographic error used to precisely geocode the A-DINSAR products. Furthermore, it illustrates the performance of the technique on a test area located in Barcelona, Spain. From this experiment, interesting features are highlighted: the capability to cover wide areas and at the same time measuring thin infrastructures, such as the main dike of the port; the good agreement between the deformation velocities and the reference values coming from leveling campaigns; the high sensitivity of the A-DINSAR estimations, which can measure millimeter-level periodical deformations due to thermal dilation, and the precise geocoding of the A-DINSAR products.
Multisource data selection for lithologic classification with artificial neural networks

Mapping the geological lithology in remote regions is a difficult and costly endeavour. Multisource image data such as electro-optical reflectance and microwave backscatter combined with geophysical image data such as gravity, magnetic, gamma ray spectrometry, offer the potential to construct lithologic maps without extensive field surveys. Neural networks are a useful tool for classifying image data, since they bypass the statistical assumptions required by traditional multivariate discriminant functions, and they are much simpler to setup than expert systems. However, the performance of neural networks can vary significantly between individual classes. In this work we examined the effects of the different input image data on network performance. We found that the geophysical data, particularly radiation measurements, which provides subsurface information, were essential for accurate mapping of lithology. Mid-infrared reflectance was the most relevant of the remote sensing measurements. We also found tha.
Homogeneous and Heterogeneous Optimization for Unsupervised Cross-Modality Person Reidentification in Visual Internet of Things

Cross-modality visible-infrared person reidentification (VI-ReID) has attracted widespread concern due to its scalability in 24-h video surveillance of the Visual Internet of Things (VIoT). Driven by enough annotated training data, supervised VI-ReID has achieved superior performance. However, annotating a large amount of cross-modality data is extremely time-consuming, which limits its employment in real-world scenarios. Existing several works neglect the image-level discrepancy and could not obtain reliable feature-level heterogeneous correlation. In this article, we propose a novel homogeneous and heterogeneous optimization with modality style adaptation (HHO) mechanism to eliminate intramodality and intermodality discrepancies without any label information for unsupervised VI-ReID. Specifically, we present the modality style adaptation strategy to transfer unlabeled cross-modality pedestrian styles, which not only increases the image diversity but also bridges the intermodality gap. Meanwhile, we employ the clustering algorithm to generate pseudo labels for each modality. The homogeneous feature optimization is developed to extract intramodality pedestrian features. Furthermore, we propose heterogeneous feature optimization to eliminate the intermodality discrepancy. To this end, a heterogeneous feature search (HFS) module is designed to mine reliable cross-modality signals for each identity. These reliable heterogeneous features are constrained to generate the compact feature distribution, while different identities are forced to be separated. The HHO are seamlessly integrated to learn cross-modality robust features. Abundant experiments prove the superiority of HHO, which gains superior performance.
Minimization of Energy and Service Latency Computation Offloading using Neural Network in 5G NOMA System

— The future Internet of Things (IoT) era is anticipated to support computation-intensive and time-critical applications using edge computing for mobile (MEC), which is regarded as promising technique. However, the transmitting uplink performance will be highly impacted by the hostile wireless channel, the low bandwidth, and the low transmission power of IoT devices. Using edge computing for mobile (MEC) to offload tasks becomes a crucial technology to reduce service latency for computation-intensive applications and reduce the computational workloads of mobile devices. Under the restrictions of computation latency and cloud computing capacity, our goal is to reduce the overall energy consumption of all users, including transmission energy and local computation energy. In this article, the Deep Q Network Algorithm (DQNA) to deal with the data rates with respect to the user base in different time slots of 5G NOMA network. The DQNA is optimized by considering more number of cell structures like 2, 4, 6 and 8. Therefore, the DQNA provides the optimal distribution of power among all 3 users in the 5G network, which gives the increased data rates. The existing various power distribution algorithms like frequent pattern (FP), weighted least squares mean error weighted least squares mean error (WLSME), and Random Power and Maximal Power allocation are used to justify the proposed DQNA technique. The proposed technique which gives 81.6% more the data rates when increased the cell structure to 8. Thus 25% more in comparison to other algorithms like FP, WLSME Random Power and Maximal Power allocation
Selective Laser-Assisted Direct Synthesis of MoS2 for Graphene/MoS2 Schottky Junction

Implementing a heterostructure by vertically stacking two-dimensional semiconductors is necessary for responding to various requirements in the future of semiconductor technology. However, the chemical-vapor deposition method, which is an existing two-dimensional (2D) material-processing method, inevitably causes heat damage to surrounding materials essential for functionality because of its high synthesis temperature. Therefore, the heterojunction of a 2D material that directly synthesized MoS2 on graphene using a laser-based photothermal reaction at room temperature was studied. The key to the photothermal-reaction mechanism is the difference in the photothermal absorption coefficients of the materials. The device in which graphene and MoS2 were vertically stacked using a laser-based photothermal reaction demonstrated its potential application as a photodetector that responds to light and its stability against cycling. The laser-based photothermal-reaction method for 2D materials will be further applied to various fields, such as transparent display electrodes, photodetectors, and solar cells, in the future.
BioMORF: A Soft Robotic Skin to Increase Biomorphism and Enable Nonverbal Communication

In this work, we introduce a biomorphic soft robotic skin for a hexapod robot platform and a Central Pattern Generator (CPG) based neural controller to generate respiratory-like motions on the skin. The design enables visio-haptic nonverbal communication between humans and robots and improves the robot’s aesthetics by enhancing its biomorphic qualities. We investigated if the soft robotic skin could increase user ratings of the robot’s warmth (RoSAS) and reported trust levels during interaction (MDMT). Contrary to our expectations and earlier findings, we did not find any increase in neither warmth nor trust from adding the soft robotic part. Furthermore, comments received from study participants indicate that trust in the robot is influenced by multiple factors, including appearance, movements, haptic qualities, and contextual factors. Based on our results, we propose directions for further research on pneumatically actuated soft robotic skins as means for nonverbal communication in human-robot interaction.
APPLICATION OF INDIGENOUS MICROORGANISMS (IMOS) ON POULTRY FLOOR (SOIL) AND ANALYSIS OF MINERALS I N THE POULTRY IMOS TREATED SOIL

Different concentration of IMOs,Orinted Herbal Nutrient(OHN),Fermented Plant Juice(FPJ) Fish Amino Acids(FAA) and Lactic Acid Bacteria (LAB) were applied to test poultry soil and not applied to control poultry soil.Test poultry soil smoother than control soil, chicks were tereated as well as in both test and control soil floor. Estimation of minerals of Natural farming IMOs treated poultry test soil sample and control soil floor samples were assessd. Resulting increasing Organic Carbo n, pH, Electric Conductivity (EC), Phosphorus Contant and Zink, dicreasing of Potassium(K) contant (estimated with spectrophotometer) in test poultry soil sample. The resulting values are furnished in table1,2,3 and 4. In conclusion, indigenous microorganisms are increasing soil minerals increased in test poultry soil samples than control soil sample, decreasing the pollution or chicks fecal matter respectively.
MAKING IT REAL: WHAT RISK MANAGERS SHOULD KNOW ABOUT COMMUNITY ENGAGEMENT

The "decide-announce-defend" approach to decision-making offers few meaningful opportunities for engagement in decision processes and communities and individuals frequently feel isolated from decisions. Correspondingly, many practitioners believe science is misunderstood by communities and that messages on risk are susceptible to distortion or misrepresentation. Many voices have called for more inclusive approaches to the analysis and management of risk. Here, we draw on theoretical and practical insights from the fields of risk communication, community engagement and contaminated land management, to explore some of the unique issues involved in communicating risk issues to lay audiences, and to identify principles for engaging communities in contaminated land risk management.
The perceived environmental and socio-economic impacts of feral pigs (Sus scrofa): a re-examination of their perceived pest status, and management implications

Feral pigs (Sus scrofa) are declared as a major vertebrate pest in the Wet Tropics World Heritage Area (WTWHA) of North Queensland, Australia. However, stakeholders' perceptions of their effects did not necessarily match their reported pest status. Almost unanimously, the environmental costs of pigs were considered to be significant because most stakeholders believed that pigs diminished the values that they attached to the rainforest. Nonetheless, those public 'values' which pigs damaged, did not match the experts' or scientific perspectives on 'values' of the WTWHA. The socio-economic impacts of pigs had greatest perceptive variation among stakeholder groups, particularly among the local agriculture and tourism industries; and local residents. This was because feral pigs were valued either both as a resource and a pest, or neither a resource nor a pest. The main perceived costs associated with feral pigs were environmental, thus occurring in rainforest-dominant national parks. This resulted in feral pig management being seen as the responsibility of the government. Moreover, many stakeholders perceived that there was a lack of government action within national parks, and therefore, they were dissatisfied with the current management of feral pigs. Management plays a crucial role in reducing the conflicts between stakeholders and feral pigs, and the methods used to control the animal need to be socially acceptable and cost-effective. Most stakeholders preferred trapping, compared to fencing, hunting and poisoning, because it entailed socio-economic benefits, and was perceived to be humane and target specific. Poisoning (1080) was the least favoured method mainly owing to its perceived lack of target specificity. Levels of social acceptability of the methods, however, varied considerably with social factors such as the type of stakeholder group and their socio-demographics, as well as cognitive factors such as perceptions of the severity of the problems associated with feral pigs. Cost-effectiveness of the methods also varied, and trapping appeared to be the most cost-effective; however, simple reduction in numbers of pigs did not necessarily correspond to damage reduction; thus, cost-effectiveness based on population reduction was not an effective decision making tool in management. Feral pig management faces challenges in optimising socially acceptable and cost-effective control while accommodating various values of pigs held by different stakeholder groups.
Potential Implications of miRNAs in the Pathogenesis, Diagnosis, and Therapeutics of Alzheimer’s Disease

Alzheimer’s disease (AD) is a complex multifactorial disorder that poses a substantial burden on patients, caregivers, and society. Considering the increased aging population and life expectancy, the incidence of AD will continue to rise in the following decades. However, the molecular pathogenesis of AD remains controversial, superior blood-based biomarker candidates for early diagnosis are still lacking, and effective therapeutics to halt or slow disease progression are urgently needed. As powerful genetic regulators, microRNAs (miRNAs) are receiving increasing attention due to their implications in the initiation, development, and theranostics of various diseases, including AD. In this review, we summarize miRNAs that directly target microtubule-associated protein tau (MAPT), amyloid precursor protein (APP), and β-site APP-cleaving enzyme 1 (BACE1) transcripts and regulate the alternative splicing of tau and APP. We also discuss related kinases, such as glycogen synthase kinase (GSK)-3β, cyclin-dependent kinase 5 (CDK5), and death-associated protein kinase 1 (DAPK1), as well as apolipoprotein E, that are directly targeted by miRNAs to control tau phosphorylation and amyloidogenic APP processing leading to Aβ pathologies. Moreover, there is evidence of miRNA-mediated modulation of inflammation. Furthermore, circulating miRNAs in the serum or plasma of AD patients as noninvasive biomarkers with diagnostic potential are reviewed. In addition, miRNA-based therapeutics optimized with nanocarriers or exosomes as potential options for AD treatment are discussed.
Limited convergence in the postcranium of aquatic Crocodylomorpha

Thalattosuchia (Early Jurassic to Early Cretaceous) and Dyrosauridea (Late Cretaceous to Early Eocene) are crocodylomorph archosaurs which diversified in fluvial and marine environments and endured extinction events (i.e. Jurassic–Cretaceous boundary for Thalattosuchia; Cretaceous–Palaeogene for Dyrosauridea). Their postcrania remain globally undervalued in anatomical descriptions and diagnoses, shrouding the locomotive adaptations that possibly underpinned their radiations and longevity. We thoroughly surveyed the postcranial morphology of Dyrosauridea and Thalattosuchia, recreated their girdles in three‐dimensions using tens of high‐precisions 3D scans, and analysed their shape using geometric morphometrics. Dyrosauridea and Thalattosuchia have clearly distinct postcrania, even when found within similar environments, suggesting the existence of clade‐specific features limiting the strength of evolutionary convergence. Moreover, the range of postcranial morphologies evolved by dyrosaurids and thalattosuchians is large compared to extant crocodylians, making the latter unsatisfactory functional analogues for every group of extinct crocodylomorphs. Our work reveals the previously unsuspected potential of postcranial anatomy as an abundant source of phylogenetic and taxonomic characters to assess the relationships within Crocodylomorpha. Incorporation of postcranial anatomy therefore appears crucial to fully assess the ecology, disparity, and relationships of crocodylomorphs.
3. RARE EARTH ELEMENT CONSTRAINTS ON THE ORIGIN OF AMPHIBOLE IN GABBROIC ROCKS FROM SITE 894, HESS DEEP1

The origin of amphibole in a sequence of gabbronoritic rocks recovered at Ocean Drilling Program Site 894 was evaluated on the basis of textural and geochemical criteria. Major element compositions indicate that all the amphibole is metamorphic whereas textural relations suggest that amphibole formed either by magmatic or metamorphic processes. The rare earth element (REE) content of amphibole, clinopyroxene, apatite, and zircon were determined by ion microprobe to assess these interpretations. Amphibole shows broad range in REE concentrations (up to 1,000 times chondritic values) with (La/Sm)N ratios from 0.1 to 1.4. There is no systematic relationship between REE content and textural type. The origin of amphibole with REE contents less than or equal to clinopyroxene cannot be distinguished by compositional criteria. By contrast, the REE content of all other amphibole can only be explained by magmatic processes. Calculated melts in equilibrium with igneous amphibole indicate that amphibole crystallized from melts with progressively higher REE contents; in some samples melts evolved without significant fractionation of the REEs whereas in other samples melts became light-REE-enriched. An increase in the total abundance of the REE melts is consistent with the crystallization of Plagioclase, clinopyroxene, and orthopyroxene from progressively more evolved melt. The light-REE-enriched melts may have been influenced by the crystallization of accessory phases or by interaction with exsolved magmatic fluids. These results indicate that there was a continuum between magmatic and hydrothermal processes and that groundmass amphibole records a complex history of crystallizati on from a melt and its exsolved magmatic fluids, followed by interaction with seawater-derived hydrothermal fluids.