Miracle-dz/UniFAR-FTUs huggingface dataset:
Piezotronics enabled artificial intelligence systems

Artificial intelligence (AI) technologies are accelerating the rapid innovations of multifunctional micro/nanosystems for boosting significant applications in flexible electronics, human healthcare, advanced robotics, autonomous control, and human–machine interfaces. III-nitride semiconductors, e.g. GaN, AlN, InN, and their alloys, exhibit superior device characteristics in high-performance opto-/electronics, due to the unique polarization effects in the non-central-symmetric crystal. Piezotronics, coupled with piezoelectric polarization and semiconductor properties, can provide a novel approach for controlling charge carrier transport across the interfacial Schottky barrier or p–n junction in these piezoelectric semiconductors. It means constructing a direct, real-time, seamless interaction between human/machine and environment, which indicates great potential in emerging AI systems. In this article, we review the research progress of piezotronics on III-nitride semiconductors, summarize the fundamental theory of piezotronics, illustrate flexible device process, present emerging piezotronic intelligent GaN-based devices, and provide innovative supports for building adaptive and interactive AI systems.
Synthesis of Medium‐Sized 2,ω‐cis‐Disubstituted Cyclic Ethers by Reductive Cyclization of Hydroxy Ketones

The synthesis of 7-, 8- and 9-membered cyclic ethers isolaurepan, lauthisan and obtusan was achieved through the cis-stereoselective TMSOTf/Et3SiH promoted reductive cyclization of the corresponding saturated hydroxy ketones, available in three steps from commercial starting materials: oxirane opening with lithium acetylide, Rh-catalyzed conjugate addition of the terminal alkynes to the corresponding unsaturated ketones and triple bond hydrogenation.
Optimization of 5G Networks for Smart Logistics

Industry 4.0 is generalizing the use of wireless connectivity in manufacturing and logistics. Specifically, in Smart Logistics, novel Industry 4.0 technologies are used to enable agile supply chains, with reduced management, energy and storage costs. Cellular networks allow connectivity throughout all the scenarios where logistics processes take place, each having their own challenges. This paper explores such scenarios and challenges, and proposes 5G technology as a global unified connectivity solution. Moreover, this paper proposes a system for exploiting the application-specific optimization capabilities of 5G networks to better cater for the needs of Smart Logistics. An application traffic modeling process is proposed, along with a proactive approach to network optimization that can improve the Quality of Service and reduce connectivity costs.
Dynamic Characteristics of Approach Spike Jump Tasks in Male Volleyball Players

The approach running spike-jump (RSJ) is a crucial technique in the sport of volleyball. Two types of RSJs are commonly used for the volleyball spike attack: (1) RSJ with one leg (RSJ-1L) and (2) RSJ with two legs (RSJ-2L). The purposes of the current study were to compare the kinematic and kinetic differences between the RSJ-1L and RSJ-2L. Ten male college volleyball players performed spike jumps by striking a stationary ball at maximal jump height. Data were collected by six infrared Qualisys motion-capture cameras (180 Hz), two AMTI force platforms (1800 Hz), and recorded by Qualisys Track Manager software. The RSJ-1L demonstrated the faster three-step approach running velocity, greater vertical GRF, and ankle, knee, and hip joint moment, but less jump height, shorter last step length and push-off time, smaller knee and hip joint flexion angles at the initial foot-contact, and knee range of motion compared to the RSJ-2L. The current study contributed to the understanding of biomechanical differences of the volleyball spike jumps and can be used to adapt to the volleyball training.
Bark Residues Recovery of Juglans Regia. L For the Dyeing of Wool Fabrics : Development of Microwave-assisted Extraction and Dyeing Processes

ABSTRACT Large quantities of plant waste are rejected daily in our universe. Consequently, several researchers have proposed various ways to enhance them. One of these possible routes is recovery as a natural dye for textile use. This study aims to explore the possibility of recovering the Juglans Regia. L barks residues in natural dyeing. Hence, the extraction of a bio-dye was carried out by microwave, several parameters were studied, namely: the microwave power, the pH, and the duration. The total phenolic compounds, flavonoids, condensed and hydrolyzable tannins contents were estimated each time. Then, the colored extracts were used for dyeing wool fabrics. The Dyeing quality resulted was estimated by calculating the colorimetric coordinates (L*, a*, b*) and the color strength (K/S). Good results were obtained, with brown shades and a color strength (K/S) close to 15 was reached. The dyeing fastnesses were also checked, acceptable fastnesses to washing, rubbing and to light were obtained. Finally, the dyed and undyed wool samples were characterized by spectral Infrared analysis and a proposal of possible dyeing mechanisms was suggested.
The MADMAX data set for visual‐inertial rover navigation on Mars

Planetary rovers increasingly rely on vision‐based components for autonomous navigation and mapping. Developing and testing these components requires representative optical conditions, which can be achieved by either field testing at planetary analog sites on Earth or using prerecorded data sets from such locations. However, the availability of representative data is scarce and field testing in planetary analog sites requires a substantial financial investment and logistical overhead, and it entails the risk of damaging complex robotic systems. To address these issues, we use our compact human‐portable DLR Sensor Unit for Planetary Exploration Rovers (SUPER) in the Moroccan desert to show resource‐efficient field testing and make the resulting Morocco‐Acquired data set of Mars‐Analog eXploration (MADMAX) publicly accessible. The data set consists of 36 different navigation experiments, captured at eight Mars analog sites of widely varying environmental conditions. Its longest trajectory covers 1.5 km and the combined trajectory length is 9.2 km. The data set contains time‐stamped recordings from monochrome stereo cameras, a color camera, omnidirectional cameras in stereo configuration, and from an inertial measurement unit. Additionally, we provide the ground truth in position and orientation together with the associated uncertainties, obtained by a real‐time kinematic‐based algorithm that fuses the global navigation satellite system data of two body antennas. Finally, we run two state‐of‐the‐art navigation algorithms, ORB‐SLAM2 and VINS‐mono, on our data to evaluate their accuracy and to provide a baseline, which can be used as a performance reference of accuracy and robustness for other navigation algorithms. The data set can be accessed at https://rmc.dlr. de/morocco2018.
Protect ya grandma! The effects of students’ epistemic beliefs and prosocial values on COVID-19 vaccination intentions

Tom Rosman12⋅ Kathrin Adler34 ⋅ Luisa Barbian34 ⋅ Vanessa Blume34 ⋅ Benno Burczeck34 Vivien Cordes34 ⋅ Dilara Derman34 ⋅ Susanne Dertli34 ⋅ Hannah Glas34 ⋅ Virginia Heinen34 Stefan Kenst34 ⋅ Marie Khosroschahli34 ⋅ Laura Kittel34 ⋅ Corinna Kraus34 ⋅ Alica Linden34 Anastasia Mironova34 ⋅ Lena Olinger34 ⋅ Fatbardh Rastelica34 ⋅ Theresia Sauter34 ⋅ Vera Schnurr 34 Elisabeth Schwab34 ⋅ Yves Vieyra34 ⋅ Andreas Zidak34 ⋅ Ivana Zidarova34
PRIMING DATIVE CLITICS IN SPOKEN SPANISH AS A SECOND AND HERITAGE LANGUAGE

Abstract Spanish monolingual speakers often produce recipient (Pedro le da un lápiz a María) and nonrecipient constructions (Antonio le lava la camiseta a Carmen) doubled by a dative clitic. Second language speakers and heritage speakers usually avoid clitics. This study examined whether structural priming could effectively increase the production of clitics in monolingual speakers (N = 23), L2 speakers (N = 28), and heritage speakers (N = 24). Participants completed a baseline study that measured the use of clitics in a picture description task, followed by a priming treatment, an immediate posttest, and a posttest a week later. Results showed that priming increased clitic production for all groups, and that the increase was still significant a week later in L2 speakers and heritage speakers. These findings support the view that structural priming may implicate implicit language learning and considers its pedagogical implications.
Are polarized courts dangerous for litigation? Evidence from French labor courts

Abstract France relies on unionized judges to assess labor cases in court. The economic literature advocates that judges pertaining to the more belligerent unions alter judicial equilibrium, foster lower settlements, avoid trials, and intensify a professional judge's interventions. This paper intends to test whether such speculations are accurate. The empirical evidence provided here suggests that such fears are not grounded. Using a database on French employment courts, between 2012 and 2016, we show that judges from the most adversarial trade unions foster conciliation and reduce the number of dropped legal cases. The lack of statistically significant impact of unions on the judicial institution's dysfunctions is evident: the labor judiciary's alleged polarization does not drive the rate of appeals and the number of professional judges' intervention. Finally, the judicial malfunctions appear to be driven by institutional distortions and local socio-economic conditions.
Experimental and numerical study of intermittent drying of rough rice in a combined FIR-dryer

Abstract Moisture variation and fissure formation of rice kernels during multi-stage intermittent drying (MSID) were simulated and analyzed based on the experimental data obtained in a laboratory-scale infrared-assisted vibratory bed dryer. The variations of drying parameters included far-infrared radiation (FIR) intensity (0, 1000 and 2000 W m−2), inlet drying air temperature (30, 40 and 50 °C), drying duration (15, 30 and 40 min), and tempering ratio (0, 2, 4 and 6). Two-dimensional moisture distribution within individual kernel was predicted. Drying rate, percentage of the cracked kernel (PCK), and specific energy consumption (SEC) were also determined, experimentally. By assessing PCK and SEC and simulation results, it was found that the magnitude of 10% d.b. mm−1 was considered as an index for the critical value for moisture content gradient (MCG) to achieve the suitable drying and tempering duration. It was further recommended that the intermittent drying duration at each stage should be selected in such a way that the MCG value does not exceed the critical level and the shortest possible tempering duration should be chosen in a manner that at least 40% of critical level of MCG be eliminated. The suitable treatment for intermittent drying was selected at FIR intensity of 1000 W m−2, inlet air temperature in 40 °C, drying duration in 30 min, and tempering ratio in 4.
Occupancy and diet of the Indian desert fox Vulpes vulpes pusilla in a Prosopis juliflora invaded semi-arid grassland

Encroachment by woody invasive plants has been recognized as a major driver of structural change in grasslands ecosystems. The impact of invasive plant-mediated changes on mammalian species from higher trophic levels is relatively less understood. This study aims to understand the impact of woody encroachment on the ecology of a relatively understudied mesopredator, the Indian desert fox Vulpes v. pusilla in a semi-arid saline grassland ecosystem in Western India. We examined the site occupancy of the Indian desert fox at the landscape level, and den site selection at the micro-habitat scale. We also examined the diet of desert foxes during winter and summer season. We found that at the landscape level the desert fox selects more open Suaeda saline habitats over dense invasive Prosopis juliflora dominated habitats. At the scale of the den, proximity to water and vegetation cover were the main drivers of den site selection. Similar to other arid zone foxes, insects, plant materials and small mammals were the main components of the diet of Indian desert fox. Given its selection of open habitats, invasive shrub encroachment is likely to result in a loss of habitat as well as resources for this species, potentially impacting on the conservation status of this already range-restricted species in India.
Modeling Small UAV Micro-Doppler Signature Using Millimeter-Wave FMCW Radar

With the increase in small unmanned aerial vehicle (UAV) applications in several technology areas, detection and small UAVs classification have become of interest. To cope with small radar cross-sections (RCSs), slow-flying speeds, and low flying altitudes, the micro-Doppler signature provides some of the most distinctive information to identify and classify targets in many radar systems. In this paper, we introduce an effective model for the micro-Doppler effect that is suitable for frequency-modulated continuous-wave (FMCW) radar applications, and exploit it to investigate UAV signatures. The latter depends on the number of UAV motors, which are considered vibrational sources, and their rotation speed. To demonstrate the reliability of the proposed model, it is used to build simulated FMCW radar images, which are compared with experimental data acquired by a 77 GHz FMCW multiple-input multiple-output (MIMO) cost-effective automotive radar platform. The experimental results confirm the model’s ability to estimate the class of the UAV, namely its number of motors, in different operative scenarios. In addition, the experimental results show that the motors rotation speed does not imprint a significant signature on the classification of the UAV; thus, the estimation of the number of motors represents the only viable parameter for small UAV classification using the micro-Doppler effect.
The Influence of Port Tugs on Improving the Navigational Safety of the Port

Port tugs are an important element in port activity and navigational safety issues. Port tugs ensure the safety of big ships while they are entering, manoeuvring, mooring and unmooring, and are of huge importance during other port operations. At the same time, optimizing the number of port tugs and tug bollard pull is also important from a port navigational safety and economic point of view. Calculation and evaluation methods of the optimal request for tugs bollard pull, in particular, port operations, are very important in order to guarantee the navigational safety of the port and ships during the main ship operations in the port. This article provides the number of requested port tugs and bollard pull calculation and evaluation methods on the basis of forces and moments acting on ships. On the basis of real ship voyages and manoeuvring at ports data as well as high accuracy simulators, theoretical methods were used, which were followed by our conclusions and recommendations, which can be used by port harbour masters and tug companies. Modern tugs have become an important element and integral part of modern port navigational safety. Such modern port tugs are also used for navigational safety and other important port functions and activities, such as fire protection and search and rescue operations. The optimal number and capacity evaluation of port tugs depending on port capacity and conditions are studied in this article.
Research on coupled vibrations of driveshaft–rear axle system based on nonlinear hybrid model

The transmission shaft–rear axle system is consisted of universal joint, hypoid gear pair, tapered roller bearing, and half shaft. In this article, as a combination of system dynamics and structure dynamics, a hybrid dynamic model of the bending–torsional–shaft vibration of the driveshaft main reducer was established to study its noise vibration harshness performance. Through dynamic frequency sweep analysis, it is found that the natural frequency of torsional vibration of the system is 53.96 Hz. Getting the natural frequency of the torsional vibration of the systems being 57 Hz by the bench tests and Adams simulations. The correctness of the nonlinear hybrid model of the driveshaft–rear axle system is proved. This research will be beneficial to the design, monitoring, and fault detection of the automobile transmission system.
Disease mapping of biomarkers for breast cancer in Tehran using spatial joint model: A Bayesian perspective

Abstract Breast cancer is one of the most important medical concerns that women face today. There are some biomarkers for detection of this cancer. Modeling these biomarkers, finding important factors that are associated with them and estimating the spatial pattern in disease risk across the areal units by disease mapping are the main foci of many studies. In this article, three binary biomarkers (the presence of estrogen receptors, the presence of progesterone receptors, and the absence of human epidermal growth factor receptor-2) are considered simultaneously for disease mapping of breast cancer. The association of these three biomarkers and spatial effects on them are jointly considered by using a convolution model. The proposed approach is applied to disease mapping of biomarkers of breast cancer in Tehran.
A study of user’s m-wallet usage behavior: The role of long-term orientation and perceived value

Abstract Understanding which factors are important to consumers when deciding to use a mobile wallet and how these factors influence users’ commitment and recommendation is important because the demand for cashless transactions has increased worldwide in recent years, especially developing countries like Vietnam. This study develops a research model and tests hypotheses related to the antecendents (personal innovativeness, perceived risk, perceived ease of use and long-term orientation) and the outcomes (commitment and recommendation) of perceived value. The technology acceptance model (TAM), the diffusion of innovation theory (DOI), the theory of perceived risk (TPB) and the perceived value model (PERVAL) were used to build the research model. With a sample of 320 consumers using mobile wallets in Vietnam, a Structural Equation Model (SEM) was used to test the hypotheses. The findings show that personal innovativeness, perceived risk, perceived ease of use and long-term orientation are the factors that significantly influence the perceived value of mobile wallet users. Also, the findings show that perceived value has positive impacts on user’s commitment and recommendation to use a m-wallet. The study supports m-wallet service providers to understand how to increase mobile wallet user’s commitment and recommendation to others.
Strategies to Combat Antimicrobial Resistance from Farm to Table

ABSTRACT Antimicrobial resistance is a growing problem globally due to the overuse of antimicrobials in agriculture, food processing, food safety, and medical fields and becoming an increasing concern of resistant microbes. This review briefly explores the use of antimicrobial, the emergence of – antimicrobial resistance, and the spreading of resistance vertically and horizontally. The focus of this article is on human practices from farm to table contributing to the growing concern of antimicrobial resistance (AMR). It also discusses various monitoring programs currently in place, and the economic burden and mortality caused by antimicrobial resistance. Finally, the review proposes possible approaches to overcome the problem, such as reducing the use of antimicrobial and developing natural methods of handing food safety initiative and treating resistant pathogens (e.g. probiotics). The main findings showed that use of antibiotics in various field from crop cultivation to processing and preservation inducing the resistance to these bacteria in the USA and developing countries. Induced resistant genes are gradually spreading in a multidirectional way to the microbiome. This can only be mitigated by restrictive measures and litigation on the unnecessary use of antibiotics. Also, the use of organic/bio-control agents to prevent microbes should be encouraged and popularized.
Cross-modal semantic correlation learning by Bi-CNN network

Cross modal retrieval can retrieve images through a text query and vice versa. In recent years, cross modal retrieval has attracted extensive attention. The purpose of most now available cross modal retrieval methods is to ﬁnd a common subspace and maximize the different modal correlation. To generate speciﬁc representations consistent with cross modal tasks, this paper proposes a novel cross modal retrieval framework, which integrates feature learning and latent space embedding. In detail, we proposed a deep CNN and a shallow CNN to extract the feature of the samples. The deep CNN is used to extract the representation of images, and the shallow CNN uses a multi-dimensional kernel to extract multi-level semantic representation of text. Meanwhile, we enhance the semantic manifold by constructing cross modal ranking and within-modal discriminant loss to improve the division of semantic representation. Moreover, the most representative samples are selected by using online sampling strategy, so that the approach can be implemented on a large-scale data. This approach not only increases the discriminative ability among different categories, but also maximizes the relativity between different modalities. Experiments on three real word datasets show that the proposed method is superior to the popular methods.
Challenges in Nigeria’s education sector and the migration of Nigerian postgraduate students to South African universities

Abstract Education remains the weapon for upward stratification, social and economic development of any nation but the Nigerian government has not shown enough commitment to the educational sector. The manifestation could be seen in the shrinking government funding on education, decaying and lack of infrastructure in Nigeria’s universities which have led to demoralization of the academia. A major consequence of this is the frustration experienced by postgraduate students who are pursuing higher education and having to spend longer period than expected record time. This frustration in pursuing higher educational qualification often leads to stunted career progression. This has led to an alternative decision to migrate in search of higher education abroad. Consequently, in recent times, Nigerian postgraduate students have migrated more than ever before to South African Universities that are believed to have modern facilities for training and ensuring completion of programmes in record time. This study employed the use of structured questionnaire to investigate the determinants of this form of migration. Among other findings, this study found that the decision to migrate and pursue postgraduate student abroad is informed by the demoralization and frustration suffered in attaining postgraduate education in Nigeria. The study also found that many Nigerian postgraduate migrant students that desired to stay back in South Africa after the programme were discouraged from doing so because of the frequent hostilities between the bulging South African youths. Their hostility is associated with the shrinking capacity of the host government (South Africa) to create new jobs for them. In addition, the belief of the agitating South African youth that the migrant postgraduates are responsible for their unemployed status, by taking up their jobs especially in those areas where required skills among the South African are lacking further gingers hostilities. This study, therefore, suggests among others that the home country should increase budgetary allocation to improve the education sector as well as monitor such allocation to ensure that it is prudently utilized. It is also recommended that institutional processes and procedures to monitor and evaluate postgraduate studies in Nigerian universities be institutionalized.