Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Bond Strength and Dimensional Accuracy of Soft Liner to Microwave Cured Denture Base Material

Today, soft liners are being widely used in dental practices by their application to the inner surfaces of the denture with hopes to evenly distribute any potential uneven forces, and to provide a cushion effect to the oral mucosa of the patient mouth. The aim of this study is to investigate the influence of (a) polymethylmethacrylate (PMMA) denture base material curing technique, (b) Molloplast B soft liner curing technique, and (c) PMMA surface treatment, on the “shear bond strength” (SBS) between the Molloplast B liner and PMMA. A total of 80 samples were used in this study to evaluate the SBS performance of microwave (Nature-Cryl, Acron Gc, Japan) and conventional water bath (Ivoclar triplex, Liechtenstein) curing techniques of PMMA, and to evaluate the curing technique of soft liner material Molloplast B (DETAX,GERMANY). Surface treatment of PMMA was performed for half of the samples using neodymium:yttrium aluminum-garnet Nd:YAG laser, and the other half of the samples were surface-treated using AL2O3 sandblasting method. The results showed that the highest mean value in conventional water bath-cured soft liner was 26.69 MPa, whereas the lowest mean value for microwave-cured soft liner was 15.22 MPa. No significant difference was observed between the SBS performance regarding the PMMA surface treatment and curing techniques. Conventional water bath curing technique for soft liner treatment improved the SBS performance. Regarding the PMMA curing technique, the conventional water bath achieved higher SBS, yet the difference was not statistically significant. Finally, surface treatment using laser improved the SBS compared to sandblasted method, but the improvement here was also statistically insignificant.
Satisfied with Online Learning Amidst COVID-19, but do you Intend to Continue Using it?

The success of online learning programs depends not only on students’ satisfaction, but also their intent to continue using it. This study is aimed at finding out if university students’ gender, study program, geographical location and internet connection have an effect on their online learning satisfaction and intention to continue using online learning in the future during the COVID-19 pandemic. Data collected from 608 students using simple random sampling from several campuses of Universiti Teknologi MARA Malaysia was analysed using frequency, crosstabulation, Chi-square test and multiple regression analysis methods. The findings revealed that six in every ten respondents are satisfied with their online learning, but the same amount of students do not intend to continue using online learning in the future. Female students, degree students, students from East Malaysia of Sabah and Sarawak, and students with good internet connection are satisfied with online learning. As for their intention to continue using online learning in the future, more male, diploma and West Malaysian students with average internet connection do not intend to do so in the future. Apart from that, online learning satisfaction is a significant predictor of students’ intention to continue with online learning in the future. Direction for future studies and practical implications of the study are also discussed.
Survey on psychotherapy chatbots

This survey aims to investigate, analyze, and compare the state‐of‐the‐art chatbots' feasibility and defects for psychotherapy. The survey points out a series of tasks necessary for future psychotherapy chatbots. We searched about 1200 related literature in public databases and selected five typical and state‐of‐the‐art psychotherapy chatbots. Most of the state‐of‐the‐art psychotherapy chatbots use retrieval‐based methods to generate dialogs. Some psychotherapy chatbots incorporate psychological theories, such as cognitive behavior therapy, to solve unique psychological problems. The assessments show that chatbots can preliminarily recognize specific kinds of negative emotions and give relatively appropriate responses. The randomized controlled trials prove that psychotherapy chatbots are useful for some people with a mental health condition. Compared with real psychologists, psychotherapy chatbots have some advantages, such as accessibility without the limitation on time or location. However, some critical technical obstacles limit the usage of psychotherapy chatbots. The limitations require a series of necessary tasks for more effective and safer psychotherapy chatbots, such as collecting standard, valid, real, and rich corpora. In conclusion, current psychotherapy chatbots can hardly replace human psychologists in the short term, but they can improve human psychologists' effectiveness and efficiency as an auxiliary tool.
Deep Learning Model for Determining Defects of Vision Inspection Machine Using Only a Few Samples

For the intelligent manufacturing field, after finishing the cutting process, a metal surface may have various defects such as scratches, residues, and dirt. However, the conventional method of determining defects has the disadvantages of being time-consuming and expensive. In addition, it is necessary to consider the cost of collecting samples and the labor cost when practically collecting samples from industries. Therefore, in this study, we optimized the determination of the defects of the production component by a deep learning (DL) model with a few samples and used an image sensor to take pictures of the specific area of the component. Meanwhile, an entropy calculation method is proposed to determine the most suitable kernel size of a convolution layer. We analyzed and established a deep learning model to determine whether the finished products of a vision inspection machine have defects using only a few samples. We compared the pros and cons of DarkNet-53, which is a convolutional neural network (CNN) that is 53 layers deep, and AlexNet, which is a deep CNN, with the DenseNet-201 model in the experiments. The obtained experimental results indicate that the proposed method can effectively increase the rate of recognition between defective and nondefective samples and reduce the training cost. The results of this paper may contribute to the development of a novel diagnostic technique and also be helpful for the intelligent manufacturing industry.
Effect of potassium humate and deproteinised Juice (DPJ) on seed germination and seedling growth of wheat and jowar.

A laboratory experiment were undertaken to study effect of potassium humate and deproteinised Juice (DPJ) of Lucerne and Fenugreek on seed germination and seedling growth of wheat (Triticum aestivum L.) cv. Lokvan and jowar (Sorghum vulgare L.) cv. Local. Seeds of wheat and jowar were treated with potassium humate (1.0%), either alone or in combination with deproteinised leaf juice (DPJ) of Lucerne and Fenugreek and water served as control. Seeds were then sown on moist blotter papers and percent seed germination (%) and seedling growth (root length and shoot length) of wheat and jower were recorded at the end of tenth day. Results obtained during this investigation clearly indicated that DPJ with potassium humate treated crop plants showed significant increase on seed germination and seedling growth of wheat and jowar than either potassium humate (1.0%), DPJ or control (untreated).
Multi-criteria evaluation model: an application of MRP parameterization

This paper presents a multi-criteria evaluation model applied to the parameterization of the MRP method. Existing optimization approaches that address this problem tend to adopt a means of simulation. A simulated solution is characterized by a pair (parameters, performance indicators). In the context of the evaluation of solutions, the work of Barth, Damand et al. (2003) propose a heuristic approach to extracting knowledge from a solution set. The approach is based on the definition of a multi-criteria solution comparison function. The objective of this paper is to present the detailed modeling of this comparison function. Ultimately, this result contributes to the formalization of a multicriteria optimization problem. A problem solving strategy is proposed.
PERSEPSI DAN MOTIVASI DIGITAL NOMAD BERWISATA DI DESA TIBUBENENG, CANGGU, KUTA UTARA

Bali as an international tourism destination has many tourist attractions, one of which is Canggu. In 2018 nomadlist.com released that Canggu was chosen as the best destination for digital nomads. A new tourist trend has emerged where tourists who work outside the office and complete their work using electronic media such as laptops and internet connections in a coworking space and conduct tourism activities called digital nomads. This research was conducted to determine the Perceptions and Motivations of Digital Nomad travelling in Tibubeneng Village, Canggu village, Badung Regency, Bali. This research was conducted by using questionnaires to digital nomad in several coworking spaces in Tibubeneng Village, Canggu, in addition to distributing questionnaires to the nomads conducted open observation and interviews with several nomads and coworking space staff to complete the data.The results showed that the majority of digital nomads visiting Tibubeneng Village, Canggu were from Australia and Europe, most of whom worked as entrepreneurs. The indicator on the perception that gets the highest score is hospitality from the digital nomad while the indicator that gets the lowest response is the road conditions to Tibubeneng Village, Canggu. On the motivation indicator, physical motivation gets the highest score from a digital nomad while the motivation with the lowest score is showing prestige.
Reparation policies in Colombia: Memory as a Repertoire

Colombia is one of the countries that has opted for a model of restorative justice to repair the victims of the armed conflict. To accomplish this, it has created a series of reparation laws which involve building scenarios to foster a call for remembrance (duty of memory) and in which the truth can be cleared up. The objective of this study is to provide a discourse analysis of how the notion of memory is constructed within the official reparation policies in Colombia. A discourse analysis of Law 975, Law 1408, and Law 1448 was carried out, using the logic of interpretive repertoires. As a result, it was possible to identify four repertoires: Institutional, Archival, Commemorative, and Reparative. The increasing globalization of reparation policies and the use of memory for the purpose of institutionalization that hinders the possibility of interpreting the past in another way, is discussed.
The experiences of veterans with mental health problems participating in an occupational therapy and resilience workshop intervention: an exploratory study

Introduction Occupational therapy has long had a strong presence in military mental healthcare. Today’s veterans have complex needs and can face challenges reintegrating into civilian life. This exploratory study investigated whether veterans receiving mental health treatment who participated in a bespoke occupational therapy and resilience workshop intervention improved their perceived participation in everyday life. Method An interpretivist hermeneutic phenomenological approach was used to explore veterans’ perspectives. Ten participants took part in two semistructured focus groups. Thematic analysis was used to identify and analyse patterns within the data. Findings Most participants developed occupational goals and started to make lifestyle changes; participants developed an appreciation of the value of occupation; participants developed insight into their recovery journeys; and value was placed on the ‘healing power’ of the group. Conclusion This exploratory study provides preliminary evidence to suggest occupational therapy was influential in helping participants understand the impact of occupation on health and start making lifestyle changes. Participants also reflected on their recovery journeys. The benefits of doing this within a group environment appear to have been particularly therapeutic. Original occupational therapy research in this specialism is sparse. This novel study provides insight that can further discussion and enhance understanding about what the profession can offer this client group.
FREQUENCY OF DAYTIME SLEEPINESS OF FACTORY WORKERS WORKING IN SHIFTS AND ITS EFFECT ON ANXIETY

Objective: This descriptive and cross-sectional study was conducted to examine the frequency of daytime sleepiness and its effects on anxiety in factory workers working in shifts. Methods: The population of the research consisted of 1052 workers working in two factories. The data were collected using the data collection form, Epworth Sleepiness Scale, and Beck Anxiety Inventory. Normally distributed data were presented as number, percentage, mean, and standard deviation. Independent samples t test and ANOVA were used in statistical analysis. Results: The mean Epworth Sleepiness Scale score of shift workers was 10.4 ± 4.2 and 42.8% had excessive daytime sleepiness. When the Epworth Sleepiness Scale scores and Beck Anxiety Inventory scores of the workers participating in the research were compared, it was determined that the daytime sleepiness levels of shift workers increased as anxiety risk increased, and the effect on vital characteristics was statistically significant (P < 0.05). Conclusion: Therefore, interventions, effective coping methods, and training strategies should be developed in order to improve the sleep quality, especially daytime sleep quality, and vital characteristics of shift workers.
Insights into the origin and magnitude of capture and handling-related stress in a coastal elasmobranch Carcharhinus limbatus

A suite of blood chemistry parameters (including acid–base indicators and plasma electrolytes) was serially measured in blacktip sharks (Carcharhinus limbatus), captured via rod-and-reel, to gain a more thorough understanding of the physiological stress response to recreational capture. Sharks were caught both from the shore and from fishing vessels and experienced varying degrees of air exposure during handling. While all captured sharks exhibited a metabolic acidosis during the fight on the line (increasing lactate and decreasing pH and bicarbonate), the observed acidosis was compounded by a respiratory component (increasing pCO2) in sharks removed from the water during handling. Vessel-caught sharks handled in the water exhibited significantly greater increases in lactate and glucose (0.73 ± 0.21 mmoll−1 min−1 and 0.81 ± 1.07 mg dl−1 min−1, respectively) than sharks handled out of water (0.21 ± 0.17 mmoll−1 min−1 and −0.32 ± 1.05 mg dl−1 min−1; p < 0.001 and p < 0.05, respectively). These findings provide insights into how differences in recreational capture methods and air exposure can mediate the origin and magnitude of capture-related stress and highlight the importance of considering both sampling time (time from capture to phlebotomy) and sampling location (in water vs. out) in studies conducted on capture-related stress.
Strongly adherent, smooth coatings of polypyrrole oxalate on iron

Black polypyrrole coatings on iron can be obtained through anodic electrodeposition from aqueous electrolytes containing the monomer and oxalic acid. The adherence strength of the layers is larger than 11.5 N mm -2 for 1 μm coatings. Surface roughness is found to be relatively low in comparison to other polypyrrole salts, even at thicker layers. The polymer films are essentially nonporous. A pronounced leveling action for the electrodeposition was found. Overcoating by cathodic or anodic electrodeposition of paint was demonstrated. The application of these polypyrrole coatings as corrosion inhibiting polymer interlayers, eventually substituting phosphatation, is proposed.
Face Identification Using LBP-Based Improved Directional Wavelet Transform

Face identification is the most active area of research in computer vision and biometric authentication. Various face identification methods are developed over the time, still, numerous facial appearances are needed to cope with such as facial expression, pose, and illumination variation. Moreover, faces captured in unrestrained situations also impose immense concern in designing effective face identification methods. It is desirable to extract robust local descriptive features to effectively characterize such facial variations both in unrestrained and restrained situations. This chapter discusses such a face identification method that incorporate a popular local descriptor such as local binary patterns (LBP) based on the improved directional wavelet transform (IDW) method to extract facial features. This designed method is applied to complex face databases such as CASIA-WebFace and LFW which consists of a large number of face images collected under an unrestrained environment with extreme facial variations in expression, pose, and illumination. Experiments and comparison with various methods which include not only the local descriptive methods but also local descriptive-based multiresolution analysis (MRA) based methods demonstrate the efficacy of the LBP-based IDWmethod.
Grevillea pieroniae Olde (Proteaceae: Grevilleoideae: Hakeinae), a rare new species in the Triloba Group from the Stirling Range, Western Australia, and a short history of the group.

Twenty-one Grevillea species currently comprise the Triloba Group sensu Flora of Australia, or Group 1 sensu The Grevillea Book. All species except the transcontinental species G. anethifolia R.Br. are distributed in south-west Western Australia. Grevillea pieroniae Olde, herein described, is currently treated as Grevillea sp. Stirling Range (D.J. McGillivray 3488 & A.S. George) by the Western Australian Herbarium. It has some affinity with Grevillea anethifolia through shared possession of similar truncate-conical to cylindrical pollen-presenters. Grevillea pieroniae is a rare species that is potentially threatened by Phytophthora cinnamomi, fire frequency, a drying climate, as well as feral and native herbivore-grazing, so requires careful assessment and ongoing monitoring. A short history of the Triloba Group is provided to give context to Grevillea pieroniae and as precursor to other related species soon to be recognised.
Influence of the Condition with and without External Support on the Strength of Hip Flexor in Supine in Subjects without Core Stabilization

Korea Purpose: This study was performed to investigate the influence of the condition with and without external support on the strength of hip flexor in supine position in subjects without core stabilization. Hip flexor muscles are very functional in the hip joint structures. Therefore, it is essential to evaluate the strength of hip flexor in a clinical and precise way. Methods: Twenty subjects participated in this study. The double bent leg-lower test was used to evaluate subjects without core stabilization. The strength of hip flexor muscles was evaluated in supine position, both with and without external support condition. The paired t-test was used to compare the strength of hip flexor muscles according to external support. The level of statistical significance was at α =0.05. The intra-rater reliability of the repeated measures of hip flexor strength was estimated by calculating the intra-class correlation coefficients (ICC). Results: In subjects without core stabilization, the strength of hip flexor in supine was greater with external support than that without external support (p<0.05). In addition, the intra-rater reliability with an ICC (3, 1) of the strength measurement of hip flexor with external support was higher than that without external support. Conclusion: In subjects without core stabilization, the condition with external support can contribute to the strength of hip flexor in supine position and the strength measurement of hip flexor should be considered with the condition with and without external
Kandungan Gingerol Dan Shogaol Dari Ekstrak Jahe Merah (Zingiber Officinale Roscoe) Dengan Metode Maserasi Bertingkat

Jahe merah (Zingiber officinale Roscoe) merupakan salah satu varietas jahe yang beredar luas di masyarakat. Sifat khas jahe merah adalah beraroma harum dan berasa pedas. Komponen utama pembentuk rasa pedas pada jahe merah ialah gingerol dan shogaol. Adapun tujuan penelitian ini dilakukan adalah untuk mengetahui kualitas ekstrak jahe merah berdasarkan SNI-06-1313-1998, golongan metabolit sekunder serta kandungan gingerol dan shogaol jahe merah. Metode yang digunakan untuk mendapatkan ekstrak jahe merah adalah dengan cara simplisia jahe dimaserasi bertingkat menggunakan pelarut n-heksan, etil asetat dan etanol. Penelitian diawali dengan uji kualitas ekstrak jahe merah dan fitokima. Uji fitokimia dilakukan untuk mengetahui golongan metabolit sekunder yang dimiliki jahe merah. Senyawa gingerol dan shogaol termasuk senyawa fenolik sehingga pada uji fitokimia ditandai dengan adanya reaksi positif pada golongan flavonoid, saponin dan tanin. Kadar gingerol dan shogaol pada masing-masing fraksi diuji dengan menggunakan kromatografi cair kinerja tinggi (KCKT). Hasil penelitian menunjukkan rendemen ekstrak jahe merah tertinggi sebesar 12,91% pada pelarut etanol. Hasil bilangan ester dari ekstrak heksana 11,56, ekstrak etil asetat 14,36 dan ekstrak etanol 13,20 sehingga kualitas minyak memenuhi syarat SNI 06-1312-1998 yaitu maks 15 mg KOH/g sedangkan untuk minyak lemak hasilnya negative. Pengujian fitokimia ekstrak jahe merah mengandung alkaloid, flavonoid, terpenoid, saponin dan tanin. Kandungan tertinggi 6-gingerol terdapat pada pelarut etil asetat sebesar 19,02 %, kandungan 8-gingerol tertinggi pada pelarut heksana sebesar 4,49 %, kandungan 10-gingerol tertinggi pada pelarut heksana sebesar 4,17 % dan kandungan 6-shogaol tertinggi pada pelarut heksana sebesar 4,71 %. Kata Kunci: Ekstrak jahe merah; heksana; etil asetat; etanol; KCKT; gingerol; Shogaol.
Controlling additive behavior to reveal an alternative morphology formation mechanism in polymer: Fullerene bulk-heterojunctions

One of the most employed morphology optimization methods to design better performing organic photovoltaic devices is ink formulation engineering with additives. In this work, by employing a suboptimal host solvent mixture and 1,8-diiodooctane (DIO) as a very optimal solvent for both components in poly-thieno[3,2b]thiophene-diketopyrrolopyrrole-co-thiophene (DPP-TT-T)-based bulk-heterojunctions (BHJ), an alternative, previously unknown mechanism of additive behavior on BHJ microstructure formation is presented. In situ characterization methods involving grazing incidence X-ray diffraction, white-light reflectometry, laser light scattering and photoluminescence during film drying reveal that the microstructure formation under the influence of DIO is led towards thermodynamic equilibrium during host solvent drying, and the kinetics of morphology formation (i.e. polymer crystallization, fullerene aggregation…) are controlled dominantly by the additive during its evaporation. Ex situ X-ray-based characterization methods, such as scanning transmission X-ray microspectroscopy (STXM) and resonant soft X-ray scattering (R-SoXS), additionally reveal that the microstructure of dried films favors smaller domain sizes with purer domains, smaller fullerene aggregates, bimodal polymer crystallization relative to the substrate and more face-on molecular orientation relative to the donor/acceptor interface, which at the end lead to better performing devices with power conversion efficiencies ranging from 1.25% to 4.68%.