Miracle-dz/UniFAR-FTUs huggingface dataset:
Blockchain-Enabled IoT for Rural Healthcare: Hybrid-Channel Communication with Digital Twinning

Internet of Things (IoT) and blockchains are enabling technologies for modern healthcare applications, offering the improved monitoring of patient health and higher data integrity guarantees. However, in rural settings, communication reliability can pose a challenge that constrains real-time data usage. Additionally, the limited computation and communication resources of IoT sensors also means that they may not participate directly in blockchain transactions, reducing trust. This paper proposes a solution to these challenges, enabling the use of blockchain-based IoT healthcare devices in low-bandwidth rural areas. This integrated system, named hybrid channel healthcare chain (HC2), uses two communication channels: short-range communication for device authorisation and bulk data transfer, and long-range the radio for light-weight monitoring and event notifications. Both channels leverage the same cryptographic identity information, and through the use of a cloud-based digital twin, the IoT device is able to sign its own transactions, without disclosing the key to said twin. Patient data are encrypted end to end between the IoT device and data store, with the blockchain providing a reliable record of the data lifecycle. We contribute a model, analytic evaluation and proof of concept for the HC2 system that demonstrates its suitability for the stated scenarios by reducing the number of long-range radio packets needed by 87× compared to a conventional approach.
Dampak Aplikasi Border Plant Pada Sistem Budi Daya Mentimun (Cucumis sativus L.) Terhadap Interaksi dengan Serangga Penyerbuk dan Kualitas Buah yang Dihasilkan

AbstrakPenelitian yang bertujuan untuk melihat dampak aplikasi border plant (bunga kenikir, Cosmos suphureus) pada proses penyerbukan pada tanaman produksi (dengan tanaman mentimun sebagai model) oleh serangga liar maupun serangga domestikasi telah dilakukan. Pada penelitian ini dilakukan pengamatan terhadap aktivitas dari serangga penyerbuk dalam bentuk jumlah kunjungan per bunga (Visitation Rate, (VR)) dan waktu yang dihabiskan pada bunga (Flower Handling Time, (FHT)) serta dampak dari aktivitas tersebut terhadap kualitas dari buah yang ditentukan berdasarkan panjang, diameter, dan bobot buah yang dihasilkan. Hasil pengamatan menunjukkan bahwa serangga penyerbuk yang mengunjungi bunga mentimun pada sistem border plant adalah Tetragonula laeviceps, Apis cerana, Xylocopa confusa, dan Xylocopa latipes sedangkan pada perlakuan non-border plant (kontrol) adalah Tetragonula laeviceps dan Apis cerana. Aktivitas serangga pada sistem border plant adalah VR dari T. laeviceps, A. cerana, X. confusa, dan X. latipes berturut-turut adalah 29,75%; 13%; 6,25%; dan 9,5% serta (2) FHT adalah 0,39; 12,09; 0,20; dan 0,19 detik. Sementara itu, nilai VR pada perlakuan non-border plant bagi A. cerana dan T. laeviceps adalah 13,5% dan 4% dengan nilai FHT sebesar 0,14 dan 0,92 detik. Kualitas terbaik buah mentimun terdapat pada kelompok perlakuan border plant dengan panjang buah 18,3 cm, diameter 36,9 cm, dan bobot 171,9 gram sedangkan kualitas buah terendah diperoleh pada perlakuan non-border plant dengan panjang buah 10,2 cm, diameter 29,2 cm dan bobot 77,6 g.AbstractThis study was conducted to investigate the impact of using border plant (Cosmos suphureus) on the interaction between crop (cucumber, Cucumis sativus) and pollinating insects, either wild or domesticated. The observation was conducted on the activities of the pollinating insects in term of number of visitation per flower (Visitation Rate (VH)) and times spend in flower (Flower Handling Time (FHT)) and the quality of the harvested products (length, diameter, and weight). The pollinating insects found at area with application of border plant consisted of Tetragonula laeviceps, Apis cerana, Xylocopa confusa, and Xylocopa latipes, while insects found at area without border plant were Tetragonula laeviceps and Apis cerana. The insect activity of T. laeviceps, A. cerana, X. confusa, and X. latipes for observation of (1) VR were 29.75%, 13%, 6.25%, and 9.5%, respectively and (2) FHT were 0.39 s, 12.09 s, 0.20 s, and 0.19 s, respectively. On the other hand, VR of A. cerana and T. laeviceps at non-border treatment area were 13.5% and 4%, respectively, and the FHT were 0.14 s and 0.92 s, respectively. The highest quality of cucumber produced was found at area with border plant treatment with fruit length of 18.3 cm, diameter of 36.9 cm, and weight of 171.9 grams. Meanwhile, the lowest fruit quality was obtained in the non-border plant treatment with fruit length of 10.2 cm, diameter of 29.2 cm and weight of 77.6 grams.
Fault Estimation and Tolerant Control of a Class of Nonlinear Systems and Its Application in High-Speed Trains

This brief investigates the problem of fault estimation and tolerant control for a class of large-scale systems composed of multiple subsystems of second-order nonlinear dynamics. In particular, there is no growth rate condition on system nonlinearities or bounded constraints on faults or their derivatives. Technically, a novel representation of a fault based on its structural information is used for the problem formulation, which facilitates the design of a distributed fault estimation observer (DFEO) with the fault estimation error globally asymptotically approaching zero. Based on the observer, a distributed fault tolerance controller (DFTC) can be designed for asymptotical reference trajectory tracking. The overall observer and controller design scheme are applied to high-speed trains in the presence of actuator faults, which illustrates the effectiveness of the scheme in a practical application.
Genetic relationships between weight loss in early lactation and daily milk production throughout the lactation in Holstein cows.

After calving, high-yielding dairy cows mobilize body reserves for energy, sometimes to the detriment of health and fertility. This study aimed to estimate the genetic correlation between body weight loss until nadir and daily milk production (MY24) in first- (L1) and second-lactation (L2) Holstein cows. The data set included 859,020 MY24 records and 570,651 daily raw body weight (BWr) phenotypes from 3,989 L1 cows, and 665,361 MY24 records and 449,449 BWr phenotypes from 3,060 L2 cows, recorded on 36 French commercial farms equipped with milking robots that included an automatic weighing platform. To avoid any bias due to change in digestive content, BWr was adjusted for variations in feed intake, estimated from milk production and BWr. Adjusted body weight was denoted BW. The genetic parameters of BW and MY24 in L1 and L2 cows were estimated using a 4-trait random regression model. In this model, the random effects were fitted by second-order Legendre polynomials on a weekly basis from wk 1 to 44. Nadir of BW was found to be earlier than reported in the literature, at 29 d in milk, and BW loss from calving to nadir was also lower than generally assumed, close to 29 kg. To estimate genetic correlations between body weight loss and production, we defined BWL5 as the loss of weight between wk 1 and 5 after calving. Genetic correlations between BWL5 and MY24 ranged from -0.26 to 0.05 in L1 and from -0.11 to 0.10 in L2, according to days in milk. These moderate to low values suggest that it may be possible to select for milk production without increasing early body mobilization.
The reason why sediment transport in a Newtonian fluid behaves analogous to sliding friction

The old idea of Bagnold to describe sediment transport in Newtonian fluids by a constant friction coefficient $\mu_b$ at the bed surface has been an essential ingredient of many historical and modern theoretical attempts to derive predictions for the sediment transport rate. Here, using approximations validated through direct numerical simulations of sediment transport in Newtonian fluids, we analytically derive $\mu_b\approx\mathrm{const}$ from microscopic Newtonian dynamics, linking the origin of friction to energy conversion processes during low-angle particle-bed impacts.
Generalized Invariance Principles for Stochastic Dynamical Systems and Their Applications

Investigating long-term behaviors of stochastic dynamical systems often requires to establish criteria that are able to describe delicate dynamics of the considered systems. In this article, we develop generalized invariance principles for continuous-time stochastic dynamical systems. Particularly, in a sense of probability one and by the developed semimartingale convergence theorem, we not only establish a local invariance principle, but also provide a generalized global invariance principle that allows the sign of the diffusion operator to be positive in some bounded region. We further provide an estimation for the time when a trajectory, initiating outside a particular bounded set, eventually enters it. Finally, we use several representative examples, including stochastic oscillating dynamics, to illustrate the practical usefulness of our analytical criteria in deciphering the stabilization or/and the synchronization dynamics of stochastic systems.
MSGNN-DTA: Multi-Scale Topological Feature Fusion Based on Graph Neural Networks for Drug–Target Binding Affinity Prediction

The accurate prediction of drug–target binding affinity (DTA) is an essential step in drug discovery and drug repositioning. Although deep learning methods have been widely adopted for DTA prediction, the complexity of extracting drug and target protein features hampers the accuracy of these predictions. In this study, we propose a novel model for DTA prediction named MSGNN-DTA, which leverages a fused multi-scale topological feature approach based on graph neural networks (GNNs). To address the challenge of accurately extracting drug and target protein features, we introduce a gated skip-connection mechanism during the feature learning process to fuse multi-scale topological features, resulting in information-rich representations of drugs and proteins. Our approach constructs drug atom graphs, motif graphs, and weighted protein graphs to fully extract topological information and provide a comprehensive understanding of underlying molecular interactions from multiple perspectives. Experimental results on two benchmark datasets demonstrate that MSGNN-DTA outperforms the state-of-the-art models in all evaluation metrics, showcasing the effectiveness of the proposed approach. Moreover, the study conducts a case study based on already FDA-approved drugs in the DrugBank dataset to highlight the potential of the MSGNN-DTA framework in identifying drug candidates for specific targets, which could accelerate the process of virtual screening and drug repositioning.
Boosting Ultrafast Trans‐Cis Photoisomerization and Intersystem Crossing in Nanocrystals of Double‐Bond Photoswitching Molecules

Double‐bond photoswitching molecules typically can undergo trans→cis photoisomerization, but their photoisomerization mechanisms in the solid state have been rarely reported. Herein, the excited‐state evolutions of trans‐azobenzene (AB), trans‐stilbene (TS), and N‐benzylideneaniline (NBA) are studied to unveil the relationship between the double‐bond photoswitching molecules and the photoisomerization kinetics in the solution phase and in nanocrystal suspensions (NCS). The photoisomerization rate of NBA is the fastest among these three molecules in the solution phase due to its most apparent single‐bond feature of the central double bond in the S1 state. The free space ordered crystal configuration boosts the photoisomerization rates of AB and TS in NCS to be faster than that of the solution phase because the hindrance of the wrapping solvent is eliminated in the crystals. In contrast, when NBA is prepared into NCS, it becomes distorted into a nonplanar structure because of the asymmetrical C‐H···π interactions, resulting in NBA having a large spin‐orbital coupling (SOC) value which opens the intersystem crossing channel to generate the triplet state instead of undergoing photoisomerization in solution. Therefore, this work reveals that the crystal configuration and the molecular structure may critically determine the photophysical properties of photoswitching materials.
The Impact of the Board of Directors' Characteristics and Ownership Structure on the Sustainable Development Disclosure in the Banks Listed on the Amman Stock Exchange

Purpose: This study tries to comprehend how corporate governance (CG) affects disclosures on economic, social, and environmental sustainability. Theoretical framework: Recent literature has reported that CG has significant impact on disclosures on economic, social, and environmental sustainability. However, there is still much to investigate and learn about CG in sustainability process. Design/methodology/approach: For the time period spanning 2015 to 2021, information about study variables was gathered from thirteen (13) banks listed on the Amman Stock Exchange (ASE) through annual reports and quantitative approach. Findings: Study findings showed that CG components improve sustainability disclosures in general. The study results indicated that, a large board with a female director and a Corporate Social Responsibility Committee (CSRC) is better able to audit and control management choices related to sustainability issues (whether they be economic, environmental, or social) and produces better sustainability disclosure. Research, Practical and Social implications: This study is proposed to help bank managers understand the real impact of corporate governance practices on sustainability, especially economic, environmental and social indicators of sustainability and how to improve and develop them. Originality/value: Through quantitative and qualitative analysis, this study contributes methodologically and empirically to the literature on corporate governance and sustainability reporting in emerging and developing economies.
Research on 1100kV GIS Bus Thermal Network Model with Spring Contacts

Based on the principle of thermoelectric analogy, the thermal network topology of the coaxial bus of the Gas Insulated equipment (GIS) and the GIS bus with multiple spring contacts was established, and the thermal network simulation model of the 1100kV GIS bus was further established. The temperature appreciation of each detection position under the test condition was obtained by calculation, and the calculation time was about 10s. The real prototype was built and the temperature rise test was carried out. The simulation and test results show that the maximum relative error of spring contact temperature rise is 2.70%, that of conductor temperature rise is 7.58%, and that of shell temperature rise is 3.80%, which proves the rationality of the method and the accuracy of the results.
Recent Advances in the Surgical Management of Thyroid Cancer

A growing incidence of differentiated thyroid cancer (DTC) has been reported in most developed countries, corresponding mainly to incidentally discovered small papillary thyroid carcinomas. Given the excellent prognosis of most patients with DTC, optimal therapeutic management, minimizing complications, and preserving patient quality of life are essential. Thyroid surgery has a central role in both the diagnosis, staging, and treatment of patients with DTC. Thyroid surgery should be integrated into the global and multidisciplinary management of patients with DTC. However, the optimal surgical management of DTC patients is still controversial. In this review article, we discuss the recent advances and current debates in DTC surgery, including preoperative molecular testing, risk stratification, the extent of thyroid surgery, innovative surgical tools, and new surgical approaches.
Dansgaard–Oeschger events in climate models: review and baseline Marine Isotope Stage 3 (MIS3) protocol

Abstract. Dansgaard–Oeschger (D–O) events, millennial-scale climate oscillations between stadial and interstadial conditions (of up to 10–15 ∘C in amplitude at high northern latitudes), occurred throughout the Marine Isotope Stage 3 (MIS3; 27.8–59.4 ka) period. The climate modelling community up to now has not been able to answer the question of whether our climate models are too stable to simulate D–O events. To address this, this paper lays the ground-work for a MIS3 D–O protocol for general circulation models which are used in the International Panel for Climate Change (IPCC) assessments. We review the following: D–O terminology, community progress on simulating D–O events in these IPCC-class models (processes and published examples), and evidence about the boundary conditions under which D–O events occur. We find that no model exhibits D–O-like behaviour under pre-industrial conditions. Some, but not all, models exhibit D–O-like oscillations under MIS3 and/or full glacial conditions. Greenhouse gases and ice sheet configurations are crucial. However most models have not run simulations of long enough duration to be sure which models show D–O-like behaviour, under either MIS3 or full glacial states. We propose a MIS3 baseline protocol at 34 ka, which features low obliquity values, medium to low MIS3 greenhouse gas values, and the intermediate ice sheet configuration, which our review suggests are most conducive to D–O-like behaviour in models. We also provide a protocol for a second freshwater (Heinrich-event-preconditioned) experiment, since previous work suggests that this variant may be helpful in preconditioning a state in models which is conducive to D–O events. This review provides modelling groups investigating MIS3 D–O oscillations with a common framework, which is aimed at (1) maximising the chance of the occurrence of D–O-like events in the simulations, (2) allowing more precise model–data evaluation, and (3) providing an adequate central point for modellers to explore model stability.
Towards a Framework for Intelligent Urban Traffic Routing

Intelligent traffic routing is one of the key techniques that can be used to optimise traffic, especially in urban areas. Deliberative reasoning techniques such as Automated Planning have shown their potential since they can take a global and longer-term perspective on the traffic situations. Such techniques have to be embedded in a urban traffic control framework such that they can generate and assign routes to the vehicles on the fly while considering the current traffic situation in the area. This paper presents an ongoing work on a framework that, in a nutshell, integrates an automated planning component, responsible for intelligent traffic routing, in the well known SUMO simulator in order to evaluate and study its impact in realistic traffic settings. In particular, the framework has to simplify the representation of the road network provided by SUMO, translate it into PDDL, a language for describing planning problems, and then interpret plans and fed them in form of vehicle routes into SUMO.
Unlocking the Benefits of Outbound Incentive Travel: A Comprehensive Review Study

Purpose The objective of this research was to contribute to the literature on incentive travel programs and provide a foundation for future research in this area. To highlight the social implications of outbound incentive travel programs, including their potential impact on employee well-being, customer relationships, tourism, economic development, and the environment. Theoretical Framework A framework for knowledge generation and theory development in incentive travel is attempted through the literature review. Design/ Method / approach A chronological analysis of the literature on incentive travel and event tourism is the focal point of this study. With reference to seminal contributions, key terms and concepts are underlined. Journals, publications, and research pertaining to this topic have been reviewed using content analysis. Each article was subjected to a series of content analyses, where the type of content, nature of the research, theme and sub-theme, publication year, type of journals, area or city focus, type of data and analysis tool used, respondent and author profile were all taken into consideration. A total of 45 papers were categorized according to the year they were published and then analyzed using the descriptive analysis approach. Findings The findings of the study are likely to provide a comprehensive understanding of outbound incentive travel programs and their potential benefits and challenges, and offer practical guidance for organizations looking to implement these programs in a responsible and effective manner. Research, Practical & Social implications The study may identify gaps in the existing literature on outbound incentive travel programs, highlighting areas for future research and exploration. Originality/ value the study has the potential to contribute to both academic research and practical applications related to outbound incentive travel programs, and may have broader implications for organizational culture, values, and social responsibility.
UPAYA MENINGKATKAN E-SATISFACTION MELALUI E-TRUST DAN E-SERVICE QUALITY PADA PENGGUNA SHOPEE KOTA BANDUNG

Perkembangan internet saat ini semakin pesat memberikan perubahan besar kepada gaya hidup online masyarakat, hal ini juga berdampak kepada perkembangan e-commerce. C2C merupakan jenis e-commerce yang paling diminati, Shopee merupakan e-commerce yang termasuk jenis C2C. Berdasarkan Data Ketidakpuasan Aplikasi Online Shop, Shopee masih mendapatkan penilaian yang termasuk tinggi pada tingkat ketidakpuasan, sehingga perlu untuk memperhatikan aspek kepuasan konsumen, kepuasan konsumen dalam konteks e-commerce dikenal dengan e-satisfaction. Ada beberapa faktor yang bisa mempengaruhi e-satisfaction yaitu e-trust dan e-service quality. Tujuan dari penelitian ini untuk mengetahui seberapa besar pengaruh e-trust dan e-service quality terhadap e-satisfaction secara parsial maupun simultan. Metode yang digunakan dalam penelitian ini adalah metode penelitian kuantitatif berbentuk survei, dan pengumpulan data diperoleh dari penyebaran kuesioner kepada pengguna e-commerce C2C Shopee dengan jumlah sampel sebanyak 100 responden di Kota Bandung dengan menggunakan rumus RaoPurba dengan pengukuran skala likert. Hasil penelitian menunjukkan e-trust berpengaruh positif dan signifikan terhadap e-satisfaction, e-service quality berpangaruh positif dan signifikan terhadap e-satisfaction. e-trust dan e-service quality secara simultan berpangaruh positif dan signifikan terhadap e-satisfaction, maka e-trust dan e-service quality terbukti dapat menjadi upaya untuk meningkatkan tingkat e-satisfaction.
Countermeasures for Improving Online Teaching Effect in Chinese Colleges and Universities during the Epidemic Period

During the epidemic period, colleges and universities in China have launched online teaching practices. Online teaching can break through geographical restrictions, with flexible class times and locations, and students can watch it repeatedly after class, which is an important advantage compared with traditional classroom teaching. However, in teaching practice, the teaching effect of online teaching is not very good. Through literature research and interviews with teachers and students, it is found that the inconsistent and imperfect functions of online teaching platforms, the poor autonomy and self-discipline of students’ online learning, and the low online teaching ability of teachers are important factors that affect the effect of online teaching. Based on this, corresponding countermeasures from the perspectives of colleges, students and teachers are proposed to help the development of online teaching in the future and improve the effect of online teaching: First, to strengthen the support of colleges and universities for teaching platforms and course resources, and accelerate the construction of a stable and efficient unified online teaching platform. The second is to strengthen the guidance of students to enhance their autonomy and self-discipline in online learning. The third is to improve teachers’ online teaching level and information technology literacy to ensure the quality of online teaching.