Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterization of Sedimentary Anzali Sand for Static and Seismic Studies Purposes

Anzali as one of the populated coastal cities in the Northern Iran, contains a particular type of marine sand which is worth to be investigated for many engineering practices. This particular sand is mainly composed of saturated fine grains and is highly prone to liquefaction phenomenon during seismic events. Geotechnical zonation of the subterraneous layers show that most of sandy sedimentary soils found below the surface in this area is formed by relatively clean and fine sand. In this research, the geotechnical characteristics of Anzali sand have been studied. It is done based on three sources of information, i.e. field studies, static tests and physical modeling by dynamic tests. In this regard, the overall zonation of this area has been carried out and the extent of the sandy area has been investigated. Anzali sand has been characterized by making use of a number of soil samples obtained from various parts on which, index tests have been carried out. Furthermore, based on laboratory shear tests and information gathered from in situ tests, the shear strength parameters and the critical limits for Anzali sand have been classified. Finally, large scale physical model tests were conducted to show the dynamic behavior of the sand under cyclic and dynamic loads and also the development of the excess pore water pressure during dynamic loading that could cause the liquefaction initiation.
Design of a Linear Synchronous Reluctance Motor with Concentrated Windings

This paper concerns modeling, design optimization and experimental validation of a linear synchronous reluctance motor with concentrated windings. A synchronous reluctance motor is optimized using a multi-level, sequential Taguchi optimization method. Experimental validation of the models is performed on a secondary that is optimized to be used together with a primary of an existing iron core motor. The measured continuous force and power factor show a deviation with respect to the models of 6.3% and 2.4% respectively. The optimal design achieves a modeled force density of 0.17 N/cm3 and a force ripple of 36.3% for a current density of 7.7 ARMs/mm2•
Hybrid Convolutional-Transformer Neural Network for Driver Distraction Detection

Distracted driving causes a significant number of traffic accidents each year, making it a crucial area of research to monitor the driver’s state and prevent accidents. Although convolutional networks are widely used for detecting driver distraction, they face several issues, such as poor generalization ability, high model capacity, and response latency. To tackle these challenges, this paper introduces a nimble and low-latency algorithm named MViTCNet, which utilizes the MobileViT module for the identification of driver distraction while operating within constrained computational resources. The MViTCNet algorithm extracts local features and constructs an original feature map, which is fused with a global feature representation processed by a Transformer to capture finer details and obtain a larger receptive field. Additionally, the classic convolutional module MBConv is employed to reduce spatial redundancy, and downsampling is used to obtain low-resolution feature maps. By stacking multiple modules to learn more complex feature representations, the network structure increases in depth and width, resulting in a better fit for complex data distributions. Experiments on an embedded hardware platform show that MViTCNet achieves an acceptable trade-off, with an accuracy of 91.04% on the StateFarm dataset and 97.80% on the LDDB dataset at a latency of 28.9±5.3 milliseconds, outperforming existing methods.
Electrical Characterization of Ω-Gate Nanowire MOSFETs Down to Cryogenic Temperatures

This work presents the electrical characterization of Ω-gate SOI nanowire MOSFETs in the temperature range from 82 K to 330 K. Devices with different fin widths and channel lengths are compared. The comparison is performed using experimental data looking for some of the fundamental electrical parameters such as threshold voltage, inverse subthreshold slope, and carrier mobility over the temperature. For short-channel devices with L=40 nm an analysis of the mobility degradation coefficients over the temperature is performed.
Comparison of the Effect of the Number of Slots and Poles of Multi-Pole Aircraft Electric Machines on the Attraction of Stator Teeth to the Rotor

Multi-pole designs of electric machines have great prospects for use in electric aviation. The ratio of slots and poles has an extremely strong influence on the characteristics of electric machines. One of the effects is the attraction of the stator to the rotor, the magnitude of which can disrupt the stable operation of the electric machine. This paper presents a study of the influence of the number of slots and poles of multi-pole aircraft electric machines on the attraction of stator teeth to the rotor. 4 different designs are considered, numerical calculations are carried out and the force of interaction between the stator and the rotor is calculated. Comparison of the 4 designs and interaction forces between the stator and rotor shows that increasing the number of slots can have a significant impact on reducing the attractive forces between the stator and rotor.
Experimental Studies of Electrical and Vibrational Characteristics of Additive Aluminum Windings of a Synchronous Generator Based on Permanent Magnets with Carbon Nanotubes

Additive technologies have attracted attention in many industries, including the electrical industry. The geometric freedom of execution, as well as the discovery of new design approaches that additive manufacturing provides, can give a significant advantage to the specific characteristics of electric machines. This article presents the results of experimental testing of an additive winding made of aluminum alloy with carbon nanotubes, which are compared with similar additive windings. According to the study, the addition of carbon nanotubes leads to a deterioration in the sintering of the powder, as well as the appearance of a porous structure. Electrical measurements show the deterioration of the magnetic properties with the addition of carbon nanotubes. Mechanical vibration tests have shown a significant improvement in mechanical performance after the addition of carbon nanotubes.
Flight Information Access When Operating a Small Drone

Unmanned aerial vehicles (UAV) are becoming popular in both commerce and private usage. Drone accidents have become one of the major concerns of the public. Behaviors of unexperienced UAV pilots affects the navigation safety of the UAV. The purpose of this study was to investigate the frequency to access information required to operate the UAV and the performance of the participants who operated the UAV. We recruited 20 adults as human participant. These adults had no prior experience in operating an UAV. Upon receiving the training of UAV operation, the participants navigated an UAV for trials under three scenarios. We analyzed the frequency of checking the flight information on the monitor and the mission completion time. The results of the analysis of variance (ANOVA) indicated that sex was a significant factor affecting behaviors in examining the data on the displayer on the monitor during the trials. The participants who read the information on the monitor more often experienced less difficulty in the trials of the flights. Our results are helpful in the training of the UAV pilots and the design of human-machine system in UAV operation considering the safety of the system.
Solid-state 13C-NMR spectroscopic determination of side-chain mobilities in zirconium-based metal–organic frameworks

Abstract. Porous interpenetrated zirconium–organic frameworks (PIZOFs) are a class of Zr-based metal–organic frameworks (MOFs) which are composed of long, rod-like dicarboxylate linkers and Zr6O4(OH)4(O2C)12 nodes. Long oligoethylene glycol or aliphatic side chains are covalently attached to the linker molecules in the cases of PIZOF-10 and PIZOF-11, respectively. These side chains are supposedly highly mobile, thus mimicking a solvent environment. It is anticipated that such MOFs could be used as a solid catalyst – the MOF – with pore systems showing properties similar to a liquid reaction medium. To quantify the side-chain mobility, here we have applied different 1D and 2D NMR solid-state spectroscopic techniques like cross-polarization (CP) and dipolar-coupling chemical-shift correlation (DIPSHIFT) studies. The rather high 1H-13C CP efficiency observed for the CH2 groups of the side chains indicates that the long side chains are unexpectedly immobile or at least that their motions are strongly anisotropic. More detailed information about the mobility of the side chains was then obtained from DIPSHIFT experiments. Analytical expressions for elaborate data analysis are derived. These expressions are used to correlate order parameters and to slow motional rates with signals in indirect spectral dimensions, thus enabling the quantification of order parameters for the CH2 groups. The ends of the chains are rather mobile, whereas the carbon atoms close to the linker are more spatially restricted in mobility.
Meta-Heuristic Framework for Designing Filterless Horseshoe Networks with P2MP Transceivers

The deployment of point-to-multipoint (P2MP) transceivers in metro-aggregation networks requires meeting multiple design criteria. This article presents a constrained meta-heuristic optimization framework tailored for this task and demonstrates that P2MP transceivers enable cost savings compared to point-to-point (P2P) transceivers when considering both transceivers and amplifiers.
Generalized Zero-Shot Learning Fault Diagnosis for Bogies of High-speed Trains based on Improved Generative Adversarial Networks

In recent years, data-driven methods have developed rapidly in the realm of fault diagnosis, but in the face of engineering fault types without historical records, there are still problems such as inadequate learning of fault features and high misdiagnosis rate. To address the issue of limited generalization ability of fault diagnosis models owing to the lack of fault data types in high-speed train (HST) bogies, this paper proposes a generalized zero-shot learning (GZSL) fault diagnosis method for bogies based on generative adversarial networks. Firstly, the conditional Wassertein generative adversarial network using cosine distance (CCDWGAN) proposed in this paper is trained by known fault types, attributes and data. Then, all the possible unknown fault type data are generated by the trained CCDWGAN with attributes of unknown faults. Finally, the generated data of unknown fault types are trained together with known types fault data through a deep Residual Network (ResNet) to build a fault diagnosis model of bogies, and realize the GZSL fault diagnosis of unknown and known fault types. The experiments show that the GZSL based on adversarial generative network can effectively generate unknown fault types, and the fault diagnosis rate of the proposed framework can reach more than 95% for the known category and 70% for the unknown category, which provides a practical solution for the GZSL problem of train bogies fault.
Intensity map and structural damage, Parkfield, California earthquake of June 27, 1966

Abstract The isoseismal map indicates that the main shock of the Parkfield, California earthquake series on June 27, 1966 was felt over an area of approximately 20,000 square miles, and that the maximum Modified Mercalli scale intensity of VII was limited to a small area near the San Andreas fault zone in the vicinity of the Parkfield and Cholame. In this area an acceleration pulse of 0.5g was recorded. However, damage to homes, pipe lines, bridges and other structures was not severe.
Refractive Surgery Part 2: Complications and Recent Advances

While LASIK and PRK have been used for two decades, there have been few long-term studies on refractive surgery. This study examined the long-term outcomes of LASIK and PRK and analyzed the risks, benefits, and technological breakthroughs of these procedures. Rates and causes of patient satisfaction are discussed in detail. Alternative techniques such as small-incision lenticule extraction (SMILE) and surgical options for pres-byopia are also explored.
Time-Varying Properties of Stock Returns: An empirical Perspective

Properties of stock returns have always been an integral aspect in asset allocation and portfolio management. More specifically, the dynamic nature of stock returns, provides nuanced patterns that highlight the inherent complexity of financial markets. The aim of this study was to explore the time varying properties of stock returns in international markets. A GARCH and Chow Test was used for four financial markets from June 04, 2018, to June 04, 2023. The findings revealed that stock returns exhibit time-dependent behaviour, challenging traditional assumptions of constant parameters with distinct phases of volatility clustering, illustrated by periods of heightened market turbulence followed by relative calmness. Additionally, the study revealed a shift in structural breaks which provided valuable insights into the evolving relationships between stock returns. These findings have significant implications for investment strategies, risk management, and financial modelling as recognizing the evolving nature of stock returns allows for more robust portfolio construction and improved decision-making in an ever-changing financial landscape.
Productive Performance of Barki Sheep Fed Rations Containing Rymi Yeast

: Yeast products are widely utilized as feed additives for ruminant animals in Egypt and many parts of the world. So this work aimed to established the impact of adding Rumi yeast as feed additives in Barki sheep ration to study its effect on their productive performance, drinking water and economic efficiency. Twenty one of growing male Barki lambs aged 5-6 months with an average weights (27.200 ± 1.938 kg) were randomly divided into three equal groups and fed as group feeding for 84 days. The experimental rations were offered at 4% dry matter of live body weight, tested rations were divided in to 60% concentrate feed mixture (CFM) and 40% roughage (wheat straw). Rymi yeast (commercial product) was added to concentrate feed mixture (CFM) at 0, 1 and 2 grams per one kg CFM for R , R and R , respectively. The results showed that increasing level of 1 2 3 RY adding both total body weight gain and average daily gain were significantly (P<0.05) increased comparing to the control. All calculated feed conversion were insignificantly (P>0.05) improved. Relative economical efficiency was improved by 114.8 and 132.2% for R and R , respectively when assuming that the relative 2 3 economic efficiency of R equals 100. Values of feed cost (LE/ kg gain) was decreased from 32.53 to 30.91 and 1 29.84 LE for R , R and R , respectively. It can be concluded that adding Rumi yeast as feed additive in sheep 1 2 3 ration realized an improving in their performance, relative economic efficiency and decreased feed cost/ kg gain.
Business and Management Studies

In the current business context, workforce that are highly committed to their organizational is required. The workforce will work harder as to when they are committed to their organization and remain working rather than seek opportunities elsewhere. Many scholarly works had studied factors that can cause commitment issues at workplace. This work aims to elucidate intelligence as facet of organizational commitment. The contribution of this work lies in giving understanding on how emotional intelligence and spiritual intelligence may somewhat inspiring a deeper sense of organizational commitment from the lens of affective commitment, continuance commitment and normative commitment
Assessment of Youths Participation in Yam Minisett Technology in Ivo Local Government Area of Ebonyi State, Nigeria

This paper assessed youths participation in yam min isett technology in Ivo LGA of Ebonyi State. Multistage random sampling technique was used to select the communities, villages and youths involved in yam minisett technology. The sample size was one hundred and twenty (120) yam minisett farmers. Result showed that majority (73.34%) of the farmers had age range between 15 ‐ 30 years, 26.6% had farming experience of between 11 ‐ 15 years while 55.0% culminated on farm sizes ranging between 1.1 ‐ 3.0ha. The study also revealed that 80.0% of the youths pa rticipated fully in yam minisett technology organiz ed by the College. A correlation analysis showed that age, farming experience and farm size were strong determinants of youths participation in yam miniset t technology at 0.01% level, while household size i s significant at 0.05% level. It was recommended that married youths should be encouraged to participate in the project. The College should also intensify trai ning to make farming attractive. Finally, governmen t is advised to provide soft loans for the youths for ex pansion and growth in agricultural production.
EFFECT OF ECOLOGICAL MARKETING ON SURVIVAL OF SMALL AND MEDIUM ENTERPRISES IN ANAMBRA STATE, NIGERIA.

The state of small and medium-sized businesses (SMEs) is deteriorating, and the environment is irrational in a way that has led to many businesses, especially SMEs, collapsing early in their existence. In this study, the survival of SMEs in the state of Anambra was examined in relation to ecological marketing. Descriptive survey methodology was used in the study. All SMEs in Anambra State make up the study's population, and 384 people were chosen for the sample through the use of a purposive sampling technique. As a result, respondents were asked to complete a structured questionnaire. Data analysis techniques used included multiple regression analysis, exploratory factor analysis, and Pearson's correlation. Technology, sociocultural factors, and economic factors all had a positive and significant impact on the study's findings regarding the survival of SMEs. However, in Anambra State, political factors have a significant and detrimental impact on SMEs' ability to survive. In light of this, the study came to the conclusion that ecological marketing significantly affects SMEs' ability to survive in Anambra State, Nigeria. Additionally, it claimed that businesses are on the verge of extinction if they don't recognise and act quickly on the new trends and problems in their environment. However, this study recommended strengthening the regulatory framework as well as providing adequate infrastructure facilities for SMEs to survive in Nigeria.
Statin as A Cause Immune-Mediated Necrotizing Myopathy: Case Report and Narrative

Abstract Statin-induced immune-mediated necrotizing myopathy (IMNM) is an exceedingly rare complication of statin use, which should be suspected in the patient with elevated CPK levels, symmetric proximal muscle weakness and persistence of symptoms despite discontinuation of statin therapy. We presents the case of IMNM developed in patient without any personal or family history of au - toimmune pathology several month after he was started on ator - vastatin therapy. The case presentation includes history of difficult pathway to right diagnosis and description of successful immu - nosuppression therapy lead to clinical and laboratory recovery. In our narrative review we tried to accumulate the
Geospatial modelling of large wood supply to rivers: a state-of-the-1 art model comparison in Swiss mountain river catchments 2

18 Different models have been used in science and practice to identify instream large wood 19 (LW) sources and to estimate LW supply to rivers. This contribution reviews the existing models 20 proposed in the last 35 years and compares two of the most recent GIS-based models by applying 21 them to 40 catchments in Switzerland. Both models, which we call here empirical GIS approach 22 (EGA) and Fuzzy-Logic GIS approach (FGA), consider landslides, debris flows, bank erosion, 23 and mobilization of instream wood as recruitment processes and compute volumetric estimates 24 of LW supply based on three different scenarios of process frequency and magnitude. Despite 25 being developed following similar concepts and fed with similar input data, the results from the 26 two models differ markedly. In general, estimated supply wood volumes were larger in each of 27 the scenarios when computed with the FGA and lower with the EGA models. Landslides were 28 the dominant process identified by the EGA, whereas bank erosion was the predominant process 29 according to the FGA model. These differences are discussed and results compared to available 30 observations coming from a unique database. Regardless of the limitations of these models, they 31 proved extremely useful for hazard assessment, and the design of infrastructure and other 32 management strategies. 33
The upstream-downstream mechanism of North Atlantic and Mediterranean cyclones in semi-idealized simulations

Cyclogenesis in the Mediterranean typically follows an archetypal scenario with the intrusion of a potential vorticity (PV) streamer over the Mediterranean, which results from a preceding Rossby Wave breaking (RWB) upstream over the North Atlantic. The RWB is ampliﬁed by the presence of warm conveyor belts (WCBs) in at least one North Atlantic cyclone about 4 days prior to Mediterranean cyclogenesis. This scenario has been found in several case studies of intense Mediterranean cy-clones with a variety of different North Atlantic cyclone tracks and intensities, and different locations of PV streamers intruding 5 the Mediterranean. While four main events (namely North Atlantic cyclone, WCBs, RWB and the resulting PV streamers) are suggested to be necessary for Mediterranean cyclogenesis, they rarely occur in a spatially consistent, fully repetitive pattern. To more systematically study this link between the upstream North Atlantic cyclone dynamics and the Mediterranean cyclo-genesis, we perform a set of semi-idealized simulations over the Euro-Atlantic domain. For these simulations, we prescribe a constant climatological atmospheric state in the initial and boundary conditions. To trigger the downstream Mediterranean 10 cyclogenesis scenario, we perturb the climatological polar jet through the inversion of a positive upper-level PV anomaly. The amplitude of this perturbation determines the intensity of the triggered North Atlantic cyclone. This cyclone provokes RWB, the intrusion of a PV streamer over the Mediterranean, and the formation of a Mediterranean cyclone. Therefore, our results show a direct causality between the presence of a North Atlantic cyclone and the downstream intrusion of a PV streamer into the Mediterranean, which causes cyclogenesis about 4 days after perturbing the polar jet, which we refer to as the upstream-15 downstream mechanism of cyclogenesis. To investigate the sensitivity of this mechanism, we vary the position and amplitude of the upper-level PV anomaly. In all simulations, cyclogenesis occurs in the Mediterranean. Nevertheless, the evolution, track and intensity of the Mediterranean cyclones are sensitive to the dynamical structure and intensity of the intruding PV streamer, which itself is sensitive to the interaction of the upstream cyclone and the RWB. By applying different seasonal climatological atmospheric states as initial conditions we show that the seasonal cycle of Mediterranean cyclogenesis indeed depends on the 20 large-scale atmospheric circulation. In particular, we show that the Mediterranean cyclones in these semi-idealized simulations show characteristics that agree with the observed climatology of Mediterranean cyclones in the respective season.