Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of the Passive Stabilizer Bar on the Vehicle’s Stability

The phenomenon of vehicle rollover usually occurs when the driver suddenly steers at high speed. The centrifugal force will appear and cause the vehicle’s body to tilt. To overcome this situation, the solution of using the stabilizer bar is proposed. The passive stabilizer bar has a simple structure, low cost, and long service life. As a result, it is now a standard on most vehicles. This paper has established a dynamic model to describe a vehicle’s oscillation. As a result of the study, the maximum roll angle of the vehicle was reduced from 9.0° to 8.2° when the stabilizer bar was used. Besides, the minimum value of the vertical force at the wheel reached 485(N) and 1162(N), respectively, corresponding to the two survey cases. The movement trajectory of the vehicle when using the stabilizer bar does not have a big difference compared to the case when the vehicle does not use the stabilizer bar. So, the vehicle’s stability and safety can be effectively improved. This is the basis for further developing complex stable bar patterns in the future.
Polyrod antennas

The polyrod, a new form of microwave endfire antenna, is described. This consists of a properly shaped dielectric rod protruding from a metal waveguide. For applications requiring moderate gain, it possesses desirable electrical and mechanical properties. It is useful as a unit antenna in broadside arrays on account of its low crosstalk into adjacent polyrods. This paper describes work done from 1941 to 1944 at the Bell Telephone Laboratories, Holmdel, N. J. Important individual contributions are acknowledged in some of the footnotes. A report of this development has been withheld from earlier publication for reasons of military security.
Semi-Supervised Building Footprint Generation With Feature and Output Consistency Training

Accurate and reliable building footprint maps are vital to urban planning and monitoring, and most existing approaches fall back on convolutional neural networks (CNNs) for building footprint generation. However, one limitation of these methods is that they require strong supervisory information from massive annotated samples for network learning. State-of-the-art semi-supervised semantic segmentation networks with consistency training can help deal with this issue by leveraging a large amount of unlabeled data, which encourages the consistency of model output on data perturbation. Considering that rich information is also encoded in feature maps, we propose to integrate the consistency of both features and outputs in the end-to-end network training of unlabeled samples, enabling to impose additional constraints. Prior semi-supervised semantic segmentation networks have established cluster assumption, in which the decision boundary should lie in the vicinity of low sample density. In this work, we observe that for building footprint generation, low-density regions are more apparent at the intermediate feature representations within the encoder than the encoder’s input or output. Therefore, we propose an instruction to assign the perturbation to the intermediate feature representations within the encoder, which considers the spatial resolution of input remote sensing imagery and the mean size of individual buildings in the study area. The proposed method is evaluated on three datasets with different resolutions: Planet dataset (3 m/pixel), Massachusetts dataset (1 m/pixel), and Inria dataset (0.3 m/pixel). Experimental results show that the proposed approach can well extract more complete building structures and alleviate omission errors.
Developing organizational citizenship behaviour: organizational climate and leader-member exchange effects

Supervisory behaviour has influenced a better working climate, which has led to the employees' desire to achieve a favourable outcome for the business involved. If the leaders do not contribute constructive behaviour, the staff may desire a poor outcome. Banks were chosen because they participate in a high-quality endeavour to build leader-member exchange relationships among workers. By examining employees' citizenship behaviour, the findings of this study could be used to improve the quality of leader-member exchange and the work environment. An effective organizational climate must incorporate the leader-member exchange strategy to improve employees' working environments, leaders-followers relationships, and employees' citizenship behaviour. The importance of this study is to determine that organizational climate is a visible value that has been in existent within the employee's behaviour and action. This study aims to assess the mediating role of the organizational climate on the relationship between leader-member exchanges on organizational citizenship behaviour. Reviewing underpinning theories based on underlying concepts, theoretical background, current definitions, and various types of collaborative writing gathered from the educational setting resulted in a theoretical framework. The quantitative and purposive sampling methods have been used to achieve the research questions and hypothesis. Samples were taken that amounted to 384 respondents in the commercial banks, Kuala Lumpur, Malaysia. Descriptive statistics analysed the variables, correlation and Structural Equation Modelling (SEM) using IBM Statistical Package for Social Sciences (SPSS) and SMART PLS 3. Findings of this study reveal that organizational climate has a positive relationship with significant levels on the leader-member exchange and organizational citizenship behaviour. This study suggests that it be pursued further in the Asian and Western contexts due to the development of organizational citizenship behaviour. Because it is fundamental for many organizations to develop their company profile to achieve good changes so that human resource management is strategized in the hiring and retaining system for highly committed employees to organizations.
New Transmission-line Unit Cells for Building Transformation Electromagnetics Devices

Transformation electromagnetics requires anisotropic metamaterials which work for multiple polarizations. These can be very difficult to realize using currently existing metamaterials. In this paper, two new metamaterial unit cells are introduced. One which can implement an anisotropic medium with a full tensor and another which supports two-polarizations. These unit cells can be quite useful for implementing various devices designed using transformation electromagnetics.
Efficacy of different Fungicide against Alternaria solani Caused Early Blight Disease of Tomato under in vitro Condition

Tomato (Solanum lycopersicum L.) is one of the most popular vegetable crops. It is affected by several diseases among them early blight caused by Alternaria solani is most destructive foliar diseases of tomato, the present study was conducted to evaluate in vitro efficacy of different fungicides with four different concentrations (250, 500, 750 &1000 ppm). Among them highest percent inhibition was found in Propiconazole (90.19%) at 1000 ppm concentration after 120 hrs followed by Tebuconazole ( 86.52%), Mancozeb ( 80.63%) and Captan + Hexaconazole (79.40%) against A. solani. and Moderately growth was found in Hexaconazole (78.17%), Thiram (76.64%) Captan (74.73%) and Carbendazim ( 65.54%). Lowest percent inhibition was observed in Copper oxychloride (42.65%) against control (65.30mm).
SUVREMENE NEURORADIOLOŠKE METODE PRIKAZA INTRAAKSIJALNIH TUMORA MOZGA

Primarni tumori mozga predstavljaju aproksimativno 2% od ukupnog broja tumora s godišnjom incidencijom 6-7/100.000 stanovnika u Europi. Najčešći su u dobi 45-70 godina života. U dječjoj dobi čine do 25% od ukupnog broja tumora. Incidencija intraaksijalnih tumora mozga je 2-3/100.000 od kojih su najčešći gliomi, koji čine oko 50% svih gliomskih tumora. Višeslojna kompjuterizirana tomografija (MSCT) prva je dijagnostička metoda izbora kada postoji sumnja na tumor mozga radi njezine široke dostupnosti i kratkog vremena trajanja snimanja. Superiorna je u mogućnosti prikaza intratumorskih kalcifikata kao i destrukcije okolnog koštanog tkiva. Sukladno recentnoj klasifikaciji tumora centralnog nervnog sustava (CNS), karakteristike i stupanj malignosti tumora izravno su povezane s molekularnom biologijom tumorskog tkiva. Stoga je magnetna rezonancija (MR) neuroradiološka metoda izbora u suvremenoj dijagnostici intraaksijalnih tumora mozga koja se koristi upotrebom standardnih i naprednih tehnika snimanja. Mogućnost visoke tkivne diferencijacije i prostorne rezolucije komparativna je prednost MR pretrage, čija je uloga pouzdana dijagnostika i klasifikacija tumora. Uređaji visoke rezolucije poput 3 Tesla MR uređaja, omogućavaju detaljnu analizu tumora, točnu lokalizaciju, identifikaciju granica i anatomskih odnosa tumora s okolnim strukturama, uključujući prikaz vaskulariziranosti tumora i prekida integriteta krvno-moždane barijere, te nazočnost nekroze tumorskog tkiva, intratumorskog krvarenja i intrakranijskog kompresijskog učinka. U novije se vrijeme posebno ističe uloga metaboličkih i funkcijskih dijagnostičkih pretraga poput MR spektroskopije, MR perfuzije,diffusion- weighted imaging (DWI) i diffusion tensor imaging (DTI) koje su sve više zastupljene u prosudbi stupnja malignosti tumorskog tkiva. Navedene neuroradiološke dijagnostičke metode predstavljaju značajan doprinos u planiranju neurokirurškog i onkološkog liječenja i prognozi tumorske bolesti.
Investigations on Dielectric Performance Characteristics of Natural Ester based Nano-Fluids for Power Transformer Applications

Liquid insulation for high voltage transformer applications based on natural esters derived from abundantly available vegetable oils are becoming popular in recent times. Since these natural ester based oils have environmental advantages and superior thermal performance, electrical utilities are slowly replacing the conventional mineral oils with natural ester based vegetable oils. FR3 oil, which is a soya based natural ester oil with superior dielectric and thermal characteristics, is becoming popular as an alternate insulating medium for high voltage transformers. With recent developments in nanotechnology field, it is possible to enhance the dielectric performance characteristics of natural ester based oils, which is a major constraint for high voltage transformer applications. However few research reports are only available in the area of nanofluids based on natural esters for high voltage insulation applications. In depth analysis and collection of large data base of insulation performance of natural ester based vegetable oils is important to improve the confidence level over nano-fluids based on natural esters. Considering these facts, in the present work, dielectric properties such as breakdown strength, capacitance, tan delta, relative permittivity and volume resistivity of nano-SiO2 modified FR3 oil are investigated at different %wt filler concentrations. From the results, it is observed that the dielectric performance of FR3 oil is significantly improved with the addition of nano-SiO2 filler. Since in recent times FR3 oil is commercially used in many transformers, these results will be useful for enhancing the dielectric strength of high voltage transformers.
Photocatalytic Behavior of Supported Copper Double Salt: The Role of Graphene Oxide

The design of a photocatalyst that may work efficiently with sunlight is a fundamental concern to fight against environmental pollution and electrochemical hydrogen storage devices. In this work, it has been found that the green microwave-assisted decoration of graphene by copper double salt (DS) enhances visible sunlight photocatalysis efficiency. Nanohybrids of graphene oxide decorated with Cu(I) and Cu(II) oxides and copper hydroxy nitrate double salt were selected as photocatalysts for the degradation of rhodamine B in aqueous solution to study the effect of the graphene oxide support. The photodegradation process followed a pseudo–first-order kinetics for the bare catalysts, but the supported catalysts were best fitted to the Langmuir-Hinshelwood model. Supported systems were more efficient in terms of turnover and apparent rate constants. Diffuse reflectance spectroscopy with the use of Kubelka-Munk function allowed to measure bandgap energies. It was found that the absorption edge was reduced about 30% for the supported systems.
Low-Profile and Wideband Circularly Polarized Magneto-Electric Dipole Antenna Excited by a Cross Slot

In this article, we present the design of a low-profile circularly polarized (CP) magneto-electric (ME) dipole antenna with enhanced CP bandwidth properties. The ME dipole antenna is excited by a simple microstrip line aperture-coupled feeding structure. The coupling aperture is composed of two crossed slots of unequal lengths to realize CP operation. Four identical inverted <inline-formula> <tex-math notation="LaTeX">$L$ </tex-math></inline-formula>-shaped parasitic elements, each consisting of a horizontal patch and a vertical metallic plate, are vertically positioned around the ME dipole. It was found that such parasitic elements can remarkably improve the 3 dB axial ratio (AR) bandwidth while retaining the wide impedance bandwidth. A prototype with a low profile of only <inline-formula> <tex-math notation="LaTeX">$0.134\lambda _{L}$ </tex-math></inline-formula> (<inline-formula> <tex-math notation="LaTeX">$\lambda _{L}$ </tex-math></inline-formula> is the wavelength in free space at the lowest operating frequency) is fabricated and tested to verify the proposed design. The experimental results show that the prototype has an overlapping impedance bandwidth (<inline-formula> <tex-math notation="LaTeX">$|S_{11}| \leq -10$ </tex-math></inline-formula> dB) and a 3 dB AR bandwidth of 3.16–5.36 GHz (51.35%) with a maximum broadside left-handed CP gain of 9.75 dBic. Additionally, nearly identical radiation patterns on two principle cutting planes are obtained over the operating band.
Phosphatidylethanol (PEth) for Monitoring Sobriety in Liver Transplant Candidates: Preliminary Results of Differences Between Alcohol-Related and Non-Alcohol-Related Cirrhosis Candidates

Background Monitoring sobriety is mandatory for liver transplant (LT) candidates with alcohol-related cirrhosis in Germany. Prior to listing, abstinence of 6 months is required. However, little is known about biomarker performance in alcohol-related cirrhosis. Routine testing of ethyl glucuronide in urine (uEtG) or hair (hEtG) is prone to manipulation or is unfeasible in anuria. Phosphatidylethanol (PEth) in dried-blood spots is a promising alternative. We compared PEth with routine parameters and self-reports in alcohol-related and non-alcohol-related cirrhosis at our transplant center. Material/Methods All patients received self-report questionnaires (AUDIT & TLFB). Blood, urine and hair samples, as well as PEth dried-blood spots were drawn at baseline. In addition, survival analyses were conducted. Results Out of 66 patients, 53 were listed for LT and 13 were candidates not listed so far. An alcohol-use disorder was found in 25 patients. Positive results for uEtG, hEtG, and PEth were found in 5/65, 9/65, and 34/66 cases, respectively. PEth positivity was found in 52% of patients with alcohol-related cirrhosis, while 53% of patients with other liver diseases were positive. While uEtG, hEtG, and TLFB correlated with higher PEth values, active waiting list status was significantly correlated with negative PEth values. During the mean follow-up of 41.15 months, 23 patients were transplanted (34.9%). None of the biomarkers significantly predicted survival. Conclusions PEth can importantly assist abstinence monitoring in LT candidates due to its high validity and objectivity. The high percentage of patients with alcohol consumption in the non-alcoholic liver disease cohort underscores the importance of testing all transplant candidates.
Navigation Map-Based Artificial Intelligence

A biologically inspired cognitive architecture is described which uses navigation maps (i.e., spatial locations of objects) as its main data elements. The navigation maps are also used to represent higher-level concepts as well as to direct operations to perform on other navigation maps. Incoming sensory information is mapped to local sensory navigation maps which then are in turn matched with the closest multisensory maps, and then mapped onto a best-matched multisensory navigation map. Enhancements of the biologically inspired feedback pathways allow the intermediate results of operations performed on the best-matched multisensory navigation map to be fed back, temporarily stored, and re-processed in the next cognitive cycle. This allows the exploration and generation of cause-and-effect behavior. In the re-processing of these intermediate results, navigation maps can, by core analogical mechanisms, lead to other navigation maps which offer an improved solution to many routine problems the architecture is exposed to. Given that the architecture is brain-inspired, analogical processing may also form a key mechanism in the human brain, consistent with psychological evidence. Similarly, for conventional artificial intelligence systems, analogical processing as a core mechanism may possibly allow enhanced performance.
The impact of dietary protein content and lighting programme on breast meat yield in broiler chickens

Effects of the interaction between lighting programme and dietary protein content on broiler performance and meat yield were investigated. The hypothesis was that low breast meat yield from birds managed under short day lengths could be improved by increasing dietary protein content. The treatments consisted of four lighting programmes and four dietary protein levels. They were applied to sexed broilers from one day old to 35 days old. Eight light-tight rooms each contained eight pens with 50 birds, sexes separate, in each pen. Each feed x sex treatment was replicated twice in each room, with the four lighting treatments also being replicated twice. Multiple regression analysis was used to measure responses to the three factors. There was no significant interaction between dietary protein content and lighting programme in feed intake, feed conversion efficiency, bodyweight gain, carcass chemical composition and breast meat yield. Breast meat yield was linearly related to the number of hours of light, the highest yield occurring on the longest day length. Food intake was the same on the shortest day length and the longest, yet breast meat yield was greater on the 23-hour light programme. The decreased breast meat yield in broilers given short day lengths was therefore not the consequence of a shortage of dietary protein, and this hypothesis therefore had to be rejected.
FCN Network-Based Weed and Crop Segmentation for IoT-Aided Agriculture Applications

The main purpose of the work is to evaluate the deep machine learning algorithms used for the distinction between weeds and crop plants using the open database of images of the carrot garden. Precision farming methods are highly prevalent in the agricultural environment and can embed intelligent methods in drones and ground vehicles for real-time operation. In this work, the accuracy of the weed and crop segment is analyzed using two different frameworks of deep learning for the semantic segment: the fully convolutional network and the ResNet. An open database with images of 40 plants and weeds was used for the case study. The results show a global accuracy of more than 90% in the verification package for both structures. In the second experiment, new FCN networks were trained to evaluate the impact of these processes on different image preprocessing and separation performance by different training/testing rates of the dataset.
Implant ślimakowy z perspektywy osób dorosłych z głuchotą postlingwalną – badanie jakościowe

Introduction: Cochlear implantation is a very effective treatment method in cases of deafness acquired postlingually, i.e., after gaining the language system. Aim: This study aims to identify the motivation for having a cochlear implant (CI) and the positive and negative aspects of that electronic hearing device from the perspective of its adult users, who have lost hearing postlingually. Material and methods: The study involved postlingually deaf adults with one or two CI’s. Participants received questionnaires by post. The response rate was 39%, which means that 90 persons responded (including 49 women and 41 men), aged 24 to 80 years ( M = 57.5; SD = 12.8). Study participants responded (retrospectively) to three questions included in the questionnaire concerning their reasoning for cochlear implantation and the positive and negative sides of that device. Responses underwent qualitative analysis using the Content Analysis method. Results: It came out, concerning the motivation of the CI decision, that most replies referred to „loss of hearing” (15%), „wanting to hear” (15%), and „social sphere” (14%) that encompasses relationships and communication with others in everyday life, in family and social life. Among the positive sides of CI, most often indicated was the ability to „receive sounds from the environment and hearing speech” (25%), then „understanding speech and communicating” (16%), and being able to participate in social relationships (15%). There were also many replies referring to the improvement of the quality of life (10%) and psychological functioning (10%). Nearly three-fourths of study participants could see no negative sides of CI (71.5%); others most frequently point out technical and organization limitations (23%), medical (8%), and limits of auditory perception, that is, difficulties with understanding speech and communicating in noise and difficult listening conditions (8%). Conclusions: The results confirm the importance of cochlear implant(s) in the lives of postlingually deaf CI users, especially in terms of the auditory perception of speech and environmental sounds, communication with other people, and social relationships. However, it should be noted that in the group of people who lost hearing after having acquired speech and language, there are significant differences in perception of positive and negative sides of a cochlear implant and motivations underlying the decision about having cochlear implantation.
Study on User Tags in Weibo

Weibo allows users to add text tags in their profiles, which are descriptive to one's personality and interests. The tag information can be very useful to user profiling in applications such as personalized recommendation, expert finding and social influence measuring. This paper first studies the characteristics of users' tagging behavior and content of the tags based on large-scale data. By adopting topic model on users' Weibo posts, it finds that the more tags two users have in common, the more similar their Weibo posts are and vice versa. It also finds that the users with connections to each other have more similar tags and Weibo posts. Based on this observation, this study uses tags and Weibo posts to predict user connections separately on real-world data. The experimental results show that the tag-based approach is significantly better than the approach based on Weibo posts, thus validating the effectiveness of user tags in describing user interests.