Miracle-dz/UniFAR-FTUs huggingface dataset:
SPECIES COMPOSITION OF BIRDS IN OIL PALM AREAS, NORTHERN SARAWAK, BORNEO, MALAYSIA

Birds play an important role in the ecosystem. However, the species composition of birds in oil palm areas and their roles in balancing the ecosystem are still minimally understood. Hence, this study was carried out to investigate them. A study on bird species composition using the point count method in oil palm areas was conducted at three oil palm estates located in Northern Sarawak, Malaysia. A total of 72 bird species belonging to 30 families including one vulnerable and six near-threatened species have been recorded from 123 points. Bird species richness was the highest in Sebungan and Sabaju Estates and the lowest in Taniku Estate. Twenty-six out of 72 species of birds were common to these three different oil palm estates. Seven species consisting of Oriental Magpie Robin, Long-tailed Parakeet, Yellow-vented Bulbul, Greater Coucal, White-breasted Waterhen, Spotted Dove, and Malaysian Pied Fantail were the dominant species recorded in all estates. Ardeidae, Cuculidae, Nectariidae and Cisticolidae were the most diverse bird families in oil palm areas. Knowledge of bird species composition in oil palm areas could provide a better understanding of their importance towards bioindicator species to the ecosystem and the conservation actions to be taken.
H/V technique for site response analysis. Synthesis of data from various surveys

H/V techniques are very attractive tools for estimating local site effect characteristics. They consist in computing the spectral ratio between the horizontal and the vertical components of a signal. For the receiver function, or RF method, the signal is an earthquake. whereas it is composed of ambient noise for the NN method. The classical transfer function method, called SR here, is based on the spectral ratio of an earthquake recording between one site and a reference. The aim of this paper is to collect experimental results (44 sites) and compare values worthy of note obtained from the H/V and the SR techniques. For several typical sites, we first illustrate that, when a clear peak arises on an SR curve, it also exists, at the same frequency for RF or NN curves. But there is no correlation between the two kinds of curves except for the low frequency part (below the first peak) where a fuzzy relationship seems to exist. Finally,we show that NN and RF techniques determine, very accurately, the fundamental frequency of alluvial sites, below which there is no amplification. In most cases, they also provide a lower bound (in amplitude) and bandwidth (in frequency) estimates for peak amplification.
The presence of confirmation bias in the recycling habits of individuals in Indonesia resulted in the occurrence of motivated reasoning

The complexity of Indonesia's waste problem can be attributed to the lack of awareness among the general public regarding the potential repercussions of garbage. Another element that contributes to the issue is the increasing standard of living within the community. However, there is a lack of agreement on waste management practises and a lack of community engagement in maintaining cleanliness and effective trash disposal. The data utilized in this study were collected by several methods, including direct observation, semi-structured interviews, review of secondary material, and a combination of qualitative and quantitative approaches. There are numerous factors that contribute to the unreasonable behaviour exhibited by respondents. The decision-making process and behavioural patterns of individuals are significantly influenced by various internal elements, particularly those of a psychological nature. The research showed that highly significant number of respondents have adequate knowledge regarding waste separation and the notion of what they should do for environmentally sound village, but 64% still burn their garbage and 76% not separating it. Various individual variables and psychological situations, such as confirmation bias, might contribute to environmentally unfriendly behaviour, despite individuals possessing adequate knowledge. Even the presence of appropriate trash disposal options may have limited impact on altering their behaviour. The subsequent topic of discussion pertains to the presence of biassed behaviour, which can significantly influence individuals' decision-making processes, particularly in relation to activities such as burning waste. While individuals may possess a cognitive awareness and express their thoughts explicitly in this regard, it is often the case that their motivations unconsciously shape their judgements, often without their own realisation. For instance, individuals who refute the degradation of their surroundings sometimes remain unaware of how their inclination towards maintaining a clean home or backyard bias their evaluation of the available in-formation they already gain. Based on the findings of the research, it can be observed that a significant proportion of individuals residing in Bendungan Village engage in the practise of waste disposal.
Crack Detection of Brown Rice Kernel Based on Optimized ResNet-18 Network

The occurrence of cracks in brown rice kernels has a substantial impact on grain quality. The timely and accurate detection of rice grains with cracks is crucial for enhancing the overall quality and flavor of processed rice. In this study, we developed an optical observation platform and optimized the original ResNet-18 neural network structure to improve the detection and classification of grain cracks. We established image datasets for japonica and indica rice varieties, and employed image augmentation and model migration techniques during training. In addition, we compared the performance of the optimized model with DenseNet-121 and GoogLeNet. The results demonstrate a notable enhancement in crack detection accuracy for japonica, reaching 96%, which is a 3.67% improvement over the original model. Furthermore, we achieved a substantial reduction in average training time, reduced by 58.66%. For indica rice, after model optimization and migration, the accuracy reached 96.67%. It’s important to note that the optimized model has limitations and is not suitable for mixed datasets with limited training data. This technology offers the capability to accurately identify and detect cracks in brown rice kernels under visible light conditions, presenting a promising solution for enhancing grain quality during processing.
AIEC-RSC: AI and Edge Collaboration Empowered Reliable Service Computing for High-Speed Mobile Businesses

With the rapid development of high-speed assistant driving and smart inspections, the edge network is required to provide quick and reliable service to avoid large service response delays and frequent re-transmissions caused by interruption. However, the reasonable service component caching, efficient edge collaboration and reliable cross-domain computation offloading are still key problems to be solved. Thus, we consider an AI and mobile edge computing (MEC) integrated service framework, which is highly reliable for high-speed mobile businesses, and we divide the service process into component caching phase and task offloading phase. In the first phase, we novelly define the edge collaborative service domain (ECSD) which allows multiple edge nodes to collaboratively share resources from a global perspective and design a user behavior aware service component pre-caching method to increase resource utilization. In the second phase, based on the formed ECSDs and cached service components, we present an AI-empowered cross-domain computation task offloading mechanism including task partition and backup to enhance the reliable service capability of edge networks. Simulation results verify that the proposed mechanism can jointly optimize the allocation of caching, computation, and communication resources, while improving the service response speed and resource utility of edge networks.
Application of Pulsed Green Laser Activation to Top-Tier MOSFET Fabrication for Monolithic 3-D Integration

Monolithic 3-D (M3D) integration has been spotlighted as an approach to overcome the limitation of classical scaling in integrated circuits (IC). However, the fabrication of the top-tier devices in M3D is challenging because of the limited maximum thermal budget during the integration process. In this work, a nanosecond annealing process using a pulsed green laser is introduced to fabricate the top-tier devices and minimize the thermal influence on the bottom-tier devices. With green laser, the average temperature gradient along the vertical direction within top-tier devices was reduced as much as 26%, compared to excimer laser. The pulsed green laser annealing effectively activated the dopant to form the source/drain of top-tier devices, which showed lower contact resistance (<inline-formula> <tex-math notation="LaTeX">${R}_{c}$ </tex-math></inline-formula>) by around 38% compared to the case of rapid thermal annealing (RTA) process. Furthermore, the nanosecond green laser annealing achieved a lower equivalent oxide thickness (EOT) and 63% reduction of interface trap density (<inline-formula> <tex-math notation="LaTeX">${D}_{\text {it}}$ </tex-math></inline-formula>) of high-<inline-formula> <tex-math notation="LaTeX">${K}$ </tex-math></inline-formula> gate dielectric in the top-tier MOS devices, leading to smaller subthreshold swing (SS) and enhanced effective mobility up to 13% and 29%, respectively, compared to the use of RTA.
Therapeutic Application of Honey Against Ige-Mediated Type 1 Hypersensitivity Reactions: A Systematic Review

In contemporary times, the use of traditional remedies is still evident. One of the primary items foremost emphasized today is honey. Aside from its natural sweetener capacity, modern science highlights its potential therapeutic capabilities, including anti-inflammatory and immunoregulatory properties in different Type I Hypersensitivity conditions. This systematic review analyzed nine credible experimental studies to objectify different types of honey and its application and effect in different Type I Hypersensitivity clinical manifestations. The abundance of evidence granting IgE mediated disorders which includes Allergic Asthma, Vernal Keratoconjunctivitis, Allergic Fungal Rhinosinusitis, Allergic Rhinitis, and Atopic Dermatitis in both preclinical and clinical analysis revealed honey to be a contributing factor in suppressing different clinical manifestations of the associated conditions. The systematic review can evaluate and categorize the potential therapeutic capabilities of honey in different IgE-mediated Type I Hypersensitivity Reactions, thus, enabling a comprehended integration towards assisting the application within the clinical setting.
Implicaciones éticas del neuromarketing

Neuromarketing has emerged as a new resource for improving the marketing strategies of companies. That great potential implies new risks and ethical problems to challenge. Its techniques and its possible scope have been discussed extensively academically, but it has not yet been developed a significant consensus in defining limits and establishing ethical guidelines that should govern this practice.
Brassinosteroid Signaling Pathways: Insights into Plant Responses under Abiotic Stress

With the growing global population, abiotic factors have emerged as a formidable threat to agricultural food production. If left unaddressed, these stress factors might reduce food yields by up to 25% by 2050. Plants utilize natural mechanisms, such as reactive oxygen species scavenging, to mitigate the adverse impacts of abiotic stressors. Diverse plants exhibit unique adaptations to abiotic stresses, which are regulated by phytohormones at various levels. Brassinosteroids (BRs) play a crucial role in controlling essential physiological processes in plants, including seed germination, xylem differentiation, and reproduction. The BR cascade serves as the mechanism through which plants respond to environmental stimuli, including drought and extreme temperatures. Despite two decades of research, the complex signaling of BRs under different stress conditions is still being elucidated. Manipulating BR signaling, biosynthesis, or perception holds promise for enhancing crop resilience. This review explores the role of BRs in signaling cascades and summarizes their substantial contribution to plants’ ability to withstand abiotic stresses.
Efficacy of catheter‐based drug delivery in a hybrid in vitro model of cardiac microvascular obstruction with porcine microthrombi

Abstract Microvascular obstruction (MVO) often occurs in ST‐elevation myocardial infarction (STEMI) patients after percutaneous coronary intervention (PCI). Diagnosis and treatment of MVO lack appropriate and established procedures. This study focused on two major points by using an in vitro multiscale flow model, which comprised an aortic root model with physiological blood flow and a microfluidic model of the microcirculation with vessel diameters down to 50 μm. First, the influence of porcine microthrombi (MT), injected into the fluidic microchip, on perfusion was investigated. We found that only 43% of all injected MT were fully occlusive. Second, it could also be shown that the maximal concentration of a dye (representing therapeutic agent) during intracoronary infusion could be increased on average by 58%, when proximally occluding the coronary artery by a balloon during drug infusion. The obtained results and insights enhance the understanding of perfusion in MVO‐affected microcirculation and could lead to improved treatment methods for MVO patients.
Multi-hypergraph Neural Network with Fusion of Location Information for Session-based Recommendation

—Session recommendation is a technology that processes data referring to the user-anonymous session behavior analysis. This technique has a wide range of applications in e-commerce, videos, social networks, and other fields and it is a hot topic in current recommendation system research. Multi-hypergraph neural network with fusion of location information for session-based recommendation (MHGNN-LI) captures multi-dimensional interest features in the session through the multi-hypergraph representation and combines different contrastive learning methods to alleviate the problem of data sparsity. It also considers the dependence order of the recommended items to improve the recommendation effect. Concerning the methodology of work, the model first constructs a session hypergraph to obtain the interest features of multiple items in the session. Secondly, it decouples the interest features into global and local features within the session, and then it integrates the item features with location information into the local interest features. Finally, it introduces a line graph at the feature level between the different sessions and maximizes the mutual information between sessions and within them, through contrastive learning, to enhance the expression ability of session data. As for the validation, comparative experiments, with related models on two public datasets, Tmall and Diginetica, show that the MHGNN-LI model has improved on P@10 and MRR@10 by, at least, 15.47% and 20.51%, as well as 9.77% and 12.37% on the Tmall and Diginetica datasets, respectively.
From Wine Production to Wine Tourism Experience: the Case of Anatolia, Turkey

Wine tourism was virtually unknown in Turkey until the beginning of the 2000's. Over the last five years there has been a growing interest in wine tourism at wine regions and among the wine lovers and wine producers. Already famous for its antiquities, including many of civilization's most important archaeological sites, the addition of an ancient tradition of wine making enhances Turkey's appeal as an international tourism destination. To better define the Turkish wine industry, it is necessary to consider the characteristics of wine areas in Anatolia, identified by its labels, the amount of quality wine produced, the amount of wineries and the total vine extension. This paper examines the wine regions, development of wine tourism, wine tourism and wine routes in Turkey. Turkish wine production highlights a predominant role played by the Aegean and Thrace regions. Different wine routes seemed to appear with the objective of promoting wine regions, and of offering other options to the traditional sun tourism in the Aegean coast. This paper also emphasizes how the wine regions and wine tourism can be promoted throughout the creation of thematic itineraries that ensures the quality tourism experiences in Turkey and determines the issues on the creation of wine tourism destination image.
Securing Android In-app Billing Service against Automated Attacks

In-app Billing service in Android enables the application developers sell digital content from inside the applications. To enhancing security of these applications, there have been presented security guidelines and various security techniques. However, recent automated attacks on every application in a device make the user of the device to get valuable content without paying for them. In this paper we present a novel approach to secure Android In-app Billing service against such automated attacks by detecting these attacks. Before completing the purchase, our approach performs a test to check whether there is an attempt to bypass a legitimate payment process. It is simple so as to be applied easily, and it effectively detects attacks by testing the signature verification process. With this approach, known automated attacks could be detected successfully.
Exploration on the Role and Mechanism of Chronic Inflammation on Polycystic Ovary Syndrome Based on Blood-Water Homoeopathy in Chinese Medicine

: Polycystic ovary syndrome (PCOS), as a common gynaecological disease, has a variety of clinical manifestations and a lingering course. Modern medicine believes that chronic low-grade inflammation is involved in the development of PCOS, and the abnormal coagulation/fibrinolytic function of PCOS patients will aggravate and prolong the development of the disease. Chinese medicine believes that the basic pathogenesis of this disease lies in kidney deficiency, with qi, phlegm, and stasis as pathological products, which is the same as the pathogenesis analysed by modern medicine, and corresponds to the idea of treating blood and water together. Therefore, it is of great significance to summarize and elucidate the pathogenic mechanism of PCOS in both Chinese and Western medicine, and combine it with the theory of "if the blood is not favourable, then the water will be water" for the development of subsequent related research and clinical treatment. Therefore, summarising and elucidating the pathomechanisms of PCOS in Chinese and Western medicine, combined with the theory of "if the blood is not favourable, then the water will become water", is of great significance to the subsequent research and development of clinical treatment.
Multiscale Salient Alignment Learning for Remote-Sensing Image–Text Retrieval

Remote-sensing image–text (RSIT) retrieval involves the use of either textual descriptions or remote-sensing images (RSI) as queries to retrieve relevant RSIs or corresponding text descriptions. Many traditional cross-modal RSIT retrieval methods tend to overlook the importance of capturing salient information and establishing the prior similarity between RSIs and texts, leading to a decline in cross-modal retrieval performance. In this article, we address these challenges by introducing a novel approach known as multiscale salient image-guided text alignment (MSITA). This approach is designed to learn salient information by aligning text with images for effective cross-modal RSIT retrieval. The MSITA approach first incorporates a multiscale fusion module and a salient learning module to facilitate the extraction of salient information. In addition, it introduces an image-guided text alignment (IGTA) mechanism that uses image information to guide the alignment of texts, enabling the effective capture of fine-grained correspondences between RSI regions and textual descriptions. In addition to these components, a novel loss function is devised to enhance the similarity across different modalities and reinforce the prior similarity between RSIs and texts. Extensive experiments conducted on four widely adopted RSIT datasets affirm that the MSITA approach significantly enhances cross-modal RSIT retrieval performance in comparison to other state-of-the-art methods.
Measuring the mobility parameters of tree-length forwarding systems using GPS technology in the Southern Italy forestry.

The introduction of modern forwarders to Apennines forest operations must account for the traditional forwarding units used by local logging contractors. They generally use the same machine for extraction and intermediate off-road transportation on mountain trails, inaccessible to heavy road vehicles. Conventional forwarders are not designed for fast transportation on trail and cannot replace conventional. This research set up a long-term follow-up study to determine the use pattern of three conventional tractor-trailer units (Forwarder, forestry trailer and articulated truck). The goal of this study was to gauge the potential of these machines. In particular, the study determined for both machine types: monthly usage, incidence of travelling time over total time, distance covered and travel speed. The null hypothesis was that use pattern, average travel distance and speed distribution did not differ between traditional tractor and trailer units and high-speed forwarders. For this purpose, Global Positioning System/Global System for Mobile Communications data loggers were installed for continuous real-time collection of the main work data, including position, status, speed and fuel consumption. The study showed that new forwarders could actually travel at a speed higher than 24 km h, and they performed both extraction and intermediate transportation. They were capable of independent relocation, which made them suitable for small-scale forestry. Both machine types were used intensively, but the annual usage of forwarders was almost twice as large as that of tractor-trailer units. Furthermore, forwarders had a 27% higher hourly productivity and a 50% higher fuel consumption per hour, compared with tractor-trailer units.
Spatial Distribution of Different Forms of Phosphorus in Surface Sediments from Swan Lake Lagoon

Surface sediments were collected from Rongcheng Swan Lagoon, a natural lagoon in Shandong Peninsula, to study the concentrations and spatial distribution of total phosphorus(P), different forms of inorganic and organic P. In addition, the bio-availability of sediment P in different areas of the lake was defined, and the correlations between different forms of P and alkaline phosphatase(APA) were also analyzed. The results indicated that total P concentrations in sediments ranged from 236.9 mg kg-1to 689.7 mg kg-1. Concentrations of inorganic P were higher than that of organic P in most sites, and calcium-bound P was the main form of inorganic P. The contents range of organic P was 40.57~198.7 mg kg-1, furthermore the sum of moderately labile P and nonlabile P accounted for over90% of the total organic P. Correlation analysis suggested that organic P was significantly correlated with inorganic P,Fe/Al-P and total P. APA showed significant correlations with total P, Fe/Al-P, and organic P(P 0.01). There were large differences in spatial distribution of total P and different forms of P in the sediments from Swan Lagoon. In the northwest and northeast areas, the concentrations of Fe/Al-P, Olsen-P and labile organic P were very high, which suggested that sediment P in these areas had great bio-availability.