Miracle-dz/UniFAR-FTUs huggingface dataset:
Smoking Cigarettes and Consuming Alcohol in Patients with Psoriasis

Introduction: Psoriasis is a chronic disease. Research shows the emergence of harmful habits such as cigarette smoking and alcohol consumption in people with psoriasis. Aim: The aim of this study was to determine the frequency of habits, cigarette smoking and alcohol consumption in patients with psoriasis, sexual distribution, and the relationship of habits with the severity of the disease. Methods: The prospective study included 129 subjects with psoriasis, of which 67 or 51,94% were women and 62 or 48,06% were men. Results: The frequency of cigarette smoking was 41,09%, alcohol consumption 24,80%. The gender distribution of cigarette smoking was: 35,82% of women and 46,77% of men smoked cigarettes. The gender distribution of alcohol consumption is: women 5,97% and men 45,16%. The severity of psoriasis, that is PASI score and cigarette smoking were statistically significantly related (r=0,63), and PASI score and alcohol consumption were not statistically significantly related (r=0,32). Conclusion: Cigarette smoking and alcohol consumption are present in psoriasis sufferers, cigarette smoking is associated with disease severity, and alcohol consumption is not. It takes knowledge of the habits of people with psoriasis and a multidisciplinary approach to get rid of harmful habits.
The Opinions of Typically Developed Peers in the Preschool Period on Individual Differences and Social Acceptance for the Children with Special Needs

Bu arastirmada okul oncesi donemde kaynastirma ortamlarinda bulunan tipik gelisim gosteren akranlarin ozel gereksinimi olan cocuklara yonelik bireysel farkliliklara ve sosyal kabule yonelik goruslerinin ve deneyimlerinin incelenmesi amaclanmistir. Arastirmada nitel arastirma yontemlerinden fenomenoloji deseni kullanilmistir. Calismaya iki anaokulunda egitime devam eden 5-6 yas araliginda 13 tipik gelisim gosteren cocuk katilmistir. Calismada hikâyelestirilmis ve parmak kukla gosterimi ile sunulan yari yapilandirilmis gorusme teknigi ve sinif ici gozlem yolu ile veri toplanmistir. Elde edilen verilerin analizinde NVivo programindan yararlanilarak icerik analizi yapilmistir. Akranlarla yapilan gorusme sonuclarina gore akranlar; ozel gereksinimi olan cocuklara yonelik duygulari ile ilgili olarak siklikla uzuntu, kaygi, kizginlik, yalnizlik, caresizlik gibi empatik duygularini dile getirmislerdir. Ayrica akranlarin ozel gereksinimi olan cocuklara yonelik duyarli olma, yardim etme, hosgoru duyma gibi olumlu tutumlarinin yani sira problem davranis sergileme, dusuk beklenti icinde olma, alay etme gibi olumsuz tutumlarinin oldugu da ortaya cikmistir. Sinif ici yapilan gozlemlerde de problem davranislardan dolayi olumsuz akran tutumlarin on plana ciktigi dikkat cekmistir. Akran kabulu acisindan arastirma sonuclari incelendiginde ise ilk gorusmede akranlardan sadece biri kabul, dordu hem kabul hem ret, sekizi ise reddettigini belirtmistir. Bununla beraber teyit edici gorusmelerde ise akranlardan bes tanesi kabul, iki tanesi hem kabul hem ret, alti tanesi ise reddettigini ifade etmistir.
Music generation and human voice conversion based on LSTM

Music is closely related to human life and is an important way for people to express their feelings in life. Deep neural networks have played a significant role in the field of music processing. There are many different neural network models to implement deep learning for audio processing. For general neural networks, there are problems such as complex operation and slow computing speed. In this paper, we introduce Long Short-Term Memory (LSTM), which is a circulating neural network, to realize end-to-end training. The network structure is simple and can generate better audio sequences after the training model. After music generation, human voice conversion is important for music understanding and inserting lyrics to pure music. We propose the audio segmentation technology for segmenting the fixed length of the human voice. Different notes are classified through piano music without considering the scale and are correlated with the different human voices we get. Finally, through the transformation, we can express the generated piano music through the output of the human voice. Experimental results demonstrate that the proposed scheme can successfully obtain a human voice from pure piano Music generated by LSTM.
GEOTRACES inter-calibration of the stable silicon isotope composition of dissolved silicic acid in seawater

The first inter-calibration study of the stable silicon isotope composition of dissolved silicic acid in seawater, δ30Si(OH)4, is presented as a contribution to the international GEOTRACES program. Eleven laboratories from seven countries analyzed two seawater samples from the north Pacific subtropical gyre (Station ALOHA) collected at 300 m and at 1000 m water depth. Sampling depths were chosen to obtain samples with a relatively low (9 μmol L-1, 300 m) and a relatively high (113 μmol L-1, 1000 m) silicic acid concentration as sample preparation differs for low- and high- concentration samples. Data for the 1000m water sample were not normally distributed so the median is used to represent the central tendency for the two samples. Median δ30Si(OH)4 values of +1.66 ‰ for the low-concentration sample and +1.25 ‰ for the high-concentration sample were obtained. Agreement among laboratories is overall considered very good; however, small but statistically significant differences among the mean isotope values obtained by different laboratories were detected likely reflecting interlaboratory differences in chemical preparation including pre-concentration and purification methods together with different volumes of seawater volume analyzed, and the use of different mass spectrometers including the Neptune MC-ICP-MS (Thermo Fisher™, Germany), the Nu Plasma MC-ICP-MS (Nu Instruments™, Wrexham, UK), and the Finnigan™ (now Thermo Fisher™, Germany) MAT 252 IRMS. Future studies analyzing δ30Si(OH)4 in seawater should also analyze and report values for these same two reference waters in order to facilitate comparison of data generated among and within laboratories over time.
In Your Face(t)—Personality Traits Interact With Prototypical Personality Faces in Economic Decision Making

In everyday life, assumptions about our peers' as well as our own personality shape social interactions. We investigated whether self-rated personality and inferences drawn from partners' faces influence economic decisions. Participants (N = 285) played the trust game in the role of the trustor as well as the ultimatum game in the role of the proposer and interacted with trustees and receivers represented by prototypical personality faces. Participants also evaluated both their own traits and the personality of the faces. In the trust game, trustees represented by faces rated higher on agreeableness yielded higher transferred amounts. This effect was more pronounced for trustors low on dispositional trust, whereas trustors high on dispositional trust did not relate their decisions to the faces. Trustees represented by faces rated higher on conscientiousness yielded higher transferred amounts only for trustors high on dispositional anxiety. In the ultimatum game, receivers represented by faces rated higher on conscientiousness yielded lower offers only for proposers high on dispositional assertiveness. These results extend previous findings on the inferences drawn from facial features and the influence of personality on decision making. They highlight the importance of considering the personality of both interaction partner, as well as potential interactions of players' traits.
DESIGN OF A DUAL-BAND 12-ELEMENT MIMO ANTENNA ARRAY FOR 5G MOBILE APPLICATIONS

This article presents a dual-band 12-element antenna system based on slot antennas for fifthgeneration (5G) of mobile communication. The basic structure of each antenna element is composed of a T-shaped slot. The antenna array is designed to operate at LTE 42 and LTE 43 bands ranging from 3400–3600 MHz and 3600–3800 MHz, respectively. The impact on the antenna parameters due to the user’s hand is also explored. The isolation between antenna elements is better than 14.8 dB with a total efficiency of more than 74%. A small envelope correlation coefficient less than 0.05 and the channel capacity of 61.9 bps/Hz make the proposed array a viable solution for 5G smartphones.
Silicon Anode Materials for Next Generation Lithium-Ion Batteries

Lithium Ion Batteries (LIBs) are a promising green energy storage system with application toward portable electronic devices, electronic vehicles (EVs) and smart grid energy storage. High energy density is one of the most important advantages for LIB, however, improvements toward performance measures, such as energy density, power and rate capability, cycling life, safety and cost, need to meet the different requirements for various applications. It is well known that battery performance is highly dependent on the type of electrode material that is employed. Currently most LIBs are predominantly fabricated using graphite as an anode material. Therefore, finding a qualified candidate of anode material to replace graphite is the key to achieve a higher energy density of LIB. Silicon is a hopeful candidate for use as an anode material due to its super-high specific capacity (4200 mAh/g). However, this material suffers from severe volume change during the lithiation/delithiation process, thereby limiting its practical application in LIB. In this thesis, three sections of work were made for the practical application of Si anode in LIB. The first section was to develop a novel method to synthesis nanostructured Si anode materials, which is easy to handle, low cost and environmental friendly. The second section is focused on electrode optimization based on an engineering point of view, including electrode mass loading and density, binder selection and optimized cycle mode. The last section pertains to the development of electrolyte, which can further improve battery performance. A better Si-based electrode is presented LIB after this study.
Development of the “interactivelab” platform for network analysis in soccer

- Aims: To introduce a platform called “InteractiveLab” (ILab) for collecting and analyzing ball passing networks during soccer games. Methods: The software was organized to collect data through a mobile interface and touch screen and simultaneously access that data from a remote database, allowing the automated acquisition, storage, and processing of data during games through an application from the web. The analysis is based on the concept of social networks, characterized by the interaction of players through passing exchanges. Results: This descriptive study presents the construction architecture and functioning of the developed software. It also presents the results of intra-and inter-rater reliability and a comparison with the manual collection method. Data were extracted and viewed according to the attacking unit classifications, with the following four outcomes: (a) interception, (b) lost ball, (c) incompletion, and (d) completion. This classification allows for the configuration of the data for a more precise analysis. Some limitations were highlighted, as well as future projections for the improvement of applications and analysis of the interactions network in the context of soccer. Conclusion: It is concluded that the InteractiveLab platform is a viable and beneficial tool that offers new possibilities for analysing performance in soccer. Moreover, given the lack of solutions that work similarly, this product also has market potential.
Dual-Channel Capsule Generation Adversarial Network for Hyperspectral Image Classification

Deep learning-based methods have demonstrated significant breakthroughs in the application of hyperspectral image (HSI) classification. However, some challenging issues still exist, such as the overfitting problem caused by the limitation of training size with high-dimensional feature and the efficiency of spectral–spatial (SS) exploitation. Therefore, to efficiently model the relative position of samples within the generative adversarial network (GAN) setting, we proposed a dual-channel SS fusion capsule generative adversarial network (DcCapsGAN) for HSI classification. Dual channels (1-D-CapsGAN and 2-D-CapsGAN) are constructed by integrating the capsule network (CapsNet) with GAN for eliminating the mode collapse and gradient disappearance problem caused by traditional GAN. Meanwhile, octave convolution and multiscale convolution are integrated into the proposed model for further reducing the parameters of the CapsNet and extracting multiscale features. To further boost the classification performance, the SS channel fusion model is constructed to composite and switch the feature information of different channels, thereby facilitating the accuracy and robustness of the whole classification performance. Three commonly used HSI data sets are utilized to investigate the performance of the proposed DcCapsGAN model, and the performance of the experiment demonstrates that the proposed model can efficiently improve the classification accuracy and performance.
Research on the Ethicalized Effect of Martial Arts Elements on the Violence Aesthetics in Chinese Films

Violence aesthetics in films is the integration of violence and film art, and beautification of violence images is an important means of designing films with violence aesthetics. Films with violence aesthetics provide the audience with a way to appreciate the beauty of violence, which is sought after by a large number of audiences in China and abroad. Meanwhile, it also arouses scholars' thinking on the negative effects. That is, as a kind of violent media, audiences' long-term or short-term exposure to a large amount of violent contents in films will increase the probability of committing aggressive behaviors and cause social problems. By analyzing and comparing the compatibility between the characteristics and functions of martial arts elements in Chinese films with violence aesthetics and the information ethicalization theory, this paper utilizes the ethicalized characteristics of martial arts elements to add them to the design of violence scenes in such films. It is hoped that the negative impact of films with violence aesthetics on the audience's psychology can be reduced appropriately, so as to provide reference for the design of violence scenes in these films in the future.
Gamification as a Didactic Strategy for the Physical Education of Pre-School Students

In the last decade, gamification has become one of the teaching-learning strategies that has received the most attention in the world of education. This new tool uses the elements of the games to design experiences that attract the attention of students, increase their interest and motivation, and improve their learning results. Nevertheless, despite the potential of gamification, teachers are faced with the difficulty of fusing curricular elements with gamable elements to achieve an effective educational experience adapted to the curricular level of students. For this reason, the present chapter aims to design a didactic proposal of gamification destined to work with contents of physical education in the pre-school stage. This chapter shows that gamification can be used in the field of early childhood education without the need to use a large amount of educational resources, if teachers have knowledge about the process to be followed to adapt the curriculum.
A Wideband CMOS On-Chip Terahertz Frequency Detector With Slow Wave Structure

This letter presents a wideband on-chip frequency detector implemented in a 65-nm CMOS technology. The frequency detector is composed of a fish bone like transmission line and a series of distributed power detectors with a parallel-to-serial readout circuit. A slow wave structure is employed in the transmission line for improved area efficiency. The frequency is extracted from the waveform profile of the standing wave formed along the transmission line, which is obtained by the local power levels of the wave measured by the detectors. The extracted frequencies showed a good agreement with the injected signal frequency for a measured frequency range of 120–360 GHz. The chip size is $400\times 180\,\,\mu \text{m}^{2}$ excluding probing pads.
Adolescents and substance abuse: the effects of substance abuse on parents and siblings

ABSTRACT This study aimed to describe the adverse effects that adolescent substance abuse has on the levels of care giving and well-being of families. The researchers used a qualitative case study design which focused on an issue of concern (such as adolescent substance abuse) and thus selected one case to elucidate the issue, i.e., a single case study. The case would be the family members of substance abusing adolescents in Mitchells Plain, a township in Cape Town, as an exemplar for the study. Purposive sampling was used to select 12 participants, seven parents (mothers) and five siblings. Individual semi-structured interviews were utilized for data collection through the use of interview schedules. The data were analysed in the form of qualitative thematic analysis where four themes emerged, which focused on the various effects (for example, financial, physical, emotional, and distrust) on family well-being resulting from living with a substance-abusing adolescent.
A Multi‐Gradient Targeting Drug Delivery System Based on RGD‐l‐TRAIL‐Labeled Magnetic Microbubbles for Cancer Theranostics

The accurately and efficiently targeted delivery of therapeutic/diagnostic agents into tumor areas in a controllable fashion remains a big challenge. Here, a novel cancer targeting magnetic microbubble is elaborately fabricated. First, the γ‐Fe2O3 magnetic iron oxide nanoparticles are optimized to chemically conjugate on the surface of polymer microbubbles. Then, arginine‐glycine‐aspartic acid‐l‐tumor necrosis factor‐related apoptosis‐inducing ligand (RGD‐l‐TRAIL), antitumor targeting fusion protein, is precisely conjugated with magnetic nanoparticles of microbubbles to construct RGD molecularly targeted magnetic microbubble, which is defined as RGD‐l‐TRAIL@MMBs. Such RGD‐l‐TRAIL@MMBs is endowed with the multigradient cascade targeting ability following by magnetic targeting, RGD, as well as enhanced permeability and retention effect regulated targeting to result in high cancerous tissue targeting efficiency. Due to the highly specific accumulation of RGD‐l‐TRAIL@MMBs in the tumor, the accurate diagnostic information of tumor can be obtained by dual ultrasound and magnetic resonance imaging. After imaging, the TRAIL molecules as anticancer agent also get right into the cancer cells by nanoparticle‐ and RGD‐mediated endocytosis to effectively induce the tumor cell apoptosis. Therefore, RGD‐l‐TRAIL conjugated magnetic microbubbles could be developed as a molecularly targeted multimodality imaging delivery system with the addition of chemotherapeutic cargoes to improve cancer diagnosis and therapy.
Determinants of the Effectiveness of Internal Shariah Audit: Evidence from Islamic Banks in Bangladesh

The concept of Shariah-based internal audit has received increasing attention from researchers in recent times especially since Islamic financial institutions have been developing in several Asian countries like Bangladesh. To avoid financial irregularities and to maintain Shariah-based financial transactions, an effective Shariah-based internal audit system is extremely important for Islamic financial institutions such as Islamic banks. Hence, the objective of this study is to determine the factors that influence the effectiveness of the Shariah-based audit system. Study data has been gathered from Shariah auditors, members of the Shariah board and audit committee of six private Islamic banks in Dhaka, Bangladesh. A total of 210 survey questionnaires were sent and finally 136 responses were retained, indicating a final sample size of n=136, with a survey feedback rate of 65%. The study adopted a quantitative measure and collected only primary data, followed by convenience sampling. SPSS has been used to run necessary statistical interpretation. Results reveal that auditor’s work autonomy, level of competency, and work performance significantly impact the Shariah-based internal audit effectiveness. The study findings can be adopted as guidelines to improve the overall effectiveness of the Shariah-based internal audit system in Islamic financial institutions.
Supramolecular engineering polyesters: endgroup functionalization of glycol modified PET with ureidopyrimidinone

The benefits of supramolecular polymers include recyclability, self-healing, and processability. While the effect of the supramolecular ureidopyrimidinone (UPy) endgroup has been investigated on many low-performing, aliphatic polymers, the effect of the UPy group has not been broadly investigated with higher performance materials. High molecular weight engineering plastics have excellent mechanical properties, but they can be difficult to process. By end-functionalizing low molecular weight engineering polymers with a supramolecular moiety, issues involving processability could be overcome while maintaining robust mechanical properties. Herein, the structure–property relationships of end-functionalized glycol-modified poly(ethylene terephthalate) (PETG) of various molecular weights were investigated using the quadruple hydrogen bonding UPy group and various linkers. By taking advantage of the unique thermal properties of PETG, this system serves as the first example of a supramolecular engineering polymer with enhanced thermal and mechanical properties that also shows improved melt viscosity at temperatures suitable for safe, non-degradative processing.
3D Virtual Learning Environment for Acquisition of Cultural Competence

As educational systems emphasize and experiment with forms of online and remote learning, it is increasingly important to investigate the cultural competence of instructional designers. This chapter addresses the experiences of instructional designers in a 3D virtual learning environment designed for development of cultural competence. Design-based research (DBR) and user experience (UX) methodologies were employed to explore experience of six instructional designers in 3D virtual environment. A taxonomy of experience (ToE) established by Coxon guided qualitative data collection and analysis. Through examples and data, the chapter emphasizes the necessity for instructional designers to keep in mind the challenge of cultural diversity in the backgrounds of students and their own, and bring guidelines and principles into culturally sensitive and responsive instructional design processes. The authors recommend four future research directions, including cross-cultural instructional designer competencies along with research into cultural personas, avatars, and guest-host relations.