Miracle-dz/UniFAR-FTUs huggingface dataset:
NaOH treated Kenaf/Glass hybrid composite: The effects of nanosilica on longitudinal and transverse tensile properties

Nanocomposite has been one of recent study interest among researcher, scientists, and students. With public consciousness about environment, there is a change in using environmental friendly’s materials. With the incorporation of nanotechnology, the strength of the composite shouldn’t be sacrificed because of the use of natural fibre. Kenaf has been studied extensively and has been one of the candidates to be used in composite and with hybridizing with glass fibre, The strength of the composite could be retained to be used widely. In this study, nanosilica was impregnated in hybrid kenaf and glass epoxy composite to and was tested for its longitudinal and transverse tensile properties. From this study, incorporation of nanosilica in hybrid kenaf and glass epoxy composite help to increase its tensile modulus up to 34.52%, and longitudinal tensile strength up to 13.64%.
A study of outcome after lateral internal anal sphincterotomy for anal fissure

Anal fissure is a common and painful condition which causes significant morbidity in the population. If conservative treatment fails or fissure recurs (frequently), a surgical treatment is indicated. Three surgical procedures are available. 1. Anal sphincter stretching (dilatation), 2. Lateral internal anal sphincterotomy, and 3. Anal advancement or rotation flap. Sphincter stretching has now become practically obsolete. A flap may be indicated in women who have had previous sphincter damage. Otherwise, lateral internal anal sphincterotomy is the surgical procedure of choice in most of the patients. The operative procedure may be performed by closed technique or open technique, and under local analgesia, caudal block, or general anaesthesia. We prefer open technique under general anaesthesia. A retrospective analysis of patients with anal fissure who underwent lateral internal anal sphincterotomy, was done in our hospital attached to a rural medical college. The period of study was one year. The patients were followed up for 06 months after the operation, and evaluated for relief of pain, incontinence of faeces or flatus or both, wound haematoma and wound infection. Pain was relieved, and the pain relief was maintained in majority of patients. Incontinence to flatus occurred in 30 (68.18%) patients. Incontinence to faeces, of a ‘minor degree’ though, occurred in 9 (20.45%) patients. Interestingly, none of the patients suffered from wound haematoma and infection. Also, none of the patients came back with recurrence during the study period of six months after the operation. Open lateral internal anal sphincterotomy is a safe procedure with excellent results.
Steering control based on model predictive control for obstacle avoidance of unmanned ground vehicle

In this paper, a strategy based on model predictive control consisting of path planning and path tracking is designed for obstacle avoidance steering control problem of the unmanned ground vehicle. The path planning controller can reconfigure a new obstacle avoidance reference path, where the constraint of the front-wheel-steering angle is transformed to formulate lateral acceleration constraint. The path tracking controller is designed to realize the accurate and fast following of the reconfigured path, and the control variable of tracking controller is steering angle. In this work, obstacles are divided into two categories: static and dynamic. When the decision-making system of the unmanned ground vehicle determines the existence of static obstacles, the obstacle avoidance path will be generated online by an optimal path reconfiguration based on direct collocation method. In the case of dynamic obstacles, receding horizon control is used for real-time path optimization. To decrease online computation burden and realize fast path tracking, the tracking controller is developed using the continuous-time model predictive control algorithm, where the extended state observer is combined to estimate the lumped disturbances for strengthening the robustness of the controller. Finally, simulations show the effectiveness of the proposed approach in comparison with nonlinear model predictive control, and the CarSim simulation is presented to further prove the feasibility of the proposed method.
Measuring, modelling, simulating, and predicting human tissue properties

Personalized simulation of human bodies is a long standing goal in many applications, ranging from animation to apparel. Even though personalized geometric models can now be easily acquired, physics-based simulation requires soft tissue properties and their distribution over the person’s body. Here we show that mechanical properties of the human body can be directly measured using a novel hand-held device. We describe a complete pipeline for measurement, modeling, parameter estimation, and simulation. The methods described here can be used to create personalized models of an individual human or of a population. Furthermore, we show how to predict soft tissue properties from widely available 3D geometric models of the human body. To train such a prediction model, we utilize a unique database of registered measurements of body shape and soft tissue properties, acquired from over 70 participants. We use a recently introduced convolutional neural network architecture adapted for 3D surfaces, and train the network to predict the distribution of tissue properties over the 3D human body surface. Once the network is trained, no specialized equipment is required, and soft tissue properties are predicted in minutes. The method can be used with commodity 3D scanners, and even with geometric models downloaded from Internet or created by artists. Our methods make realistic human body simulations available to a wide range of users and applications.
Has IFRS improved Accounting Quality in Indonesia? A Systematic Literature Review of 2010-2016

Research aims : International Financial Reporting Standard or IFRS has been promoted as globally-acceptable accounting standard. Previous studies indicate that in developed countries, in Europe for instance, IFRS implementation demonstrates a positive effect and tendency towards better accounting quality. This research aims to discover the effect of IFRS implementation in Indonesia through studying relevant journal articles published between 2010-2016. The present study provides an overview of how the standard is implemented in the country. Design/Methodology/Approach : Data were collected from 168 research published in the observed period by conducting a structured literature review. Research findings : The results show that research articles on the impact of IFRS in Indonesia is more dominant (53.66%) than that on implementation and issues (23.17%) and the development of IFRS convergence process (23.17%). Out of the 189 frequencies from sampled studies on the impact of IFRS convergence in Indonesia, the study of value relevant (25.39%) and earnings management (24.35%) is the most common method used in discussing the IFRS impact. In general, IFRS convergence has positive impact to the quality improvement of financial statements, as evidenced by the increased relevance of value, the quality of accounting information, the quality of profit, and the company's financial performance as well as the decreasing earnings management practices. Theoretical contribution/Originality : This research contributes to the development of knowledge about IFRS research and the impact of IFRS convergence in a developing country. Practitioner/Policy implication : The results of this study indicate the overall impact of IFRS in Indonesia that can be used as foundation for further research. This study can be used as a reference for future studies, to determine what topics have not been addressed in this study or what topics can be further investigated. Also, regulator can use my findings as a reference, for understanding the benefits of IFRS implementation in Indonesia and for making improvements in their policy and regulations. Research limitation/Implication : Some papers analysed in this paper come from the proceedings of Simposium Nasional Akuntansi (SNA). As proceedings may not be as rigorous as publication in the academic journal, SNA remains as the most prestigious accounting conference in Indonesia which invites high quality papers.
Biocidal Activity of Selected Preparations for Leather Protection

This research work involved the selection of biocides for the antimicrobial treatment of leathers. The scope of the research work covered microbiological tests of leather samples tanned utilising the same technology, with microbiological treatment made using 9 different preparations, as well as a test of leather without biostabilisation. Commercial biocides taken for inwestigation were as follows: NS 500 – an aqueous solution of nanosilver 500 ppm, ODH – tea tree oil, and OP – orange oil. Preparations prepared by diluting the purchased products were as follows: S27-22 – an aqueous solution containing silver chloride and titanium dioxide, SH 22-27 – an aqueous solution containing zinc pyrithione, ST 99-19 – an aqueous solution containing dimethyltetradecyl [3-(trimethoxysilyl)propyl]ammonium chloride, SU – an aqueous solution containing polyhexamethylene biguanide, and SGP – a saturated solution of aluminum potassium sulfate. Also a preparation was made by combining NS 500 M250 – 500 ppm nanosilver solution and a 250 ppm copper colloid. Evaluation of the effectiveness of biostabilisation of the leather samples and antimicrobial activity of the preparations used was carried out. Staphylococcus aureus and Escherichia coli bacteria and Candida albicans, Aspergillus brasiliensis and Trichophyton mentagrophytes fungi were used in the study. The assessment of microbial growth on samples was carried out according to Polish standards. Assessment of the resistance to bacteria and C. albicans yeast was made according to the PN-EN ISO 20645: 2006 standard – a method of diffusion on an agar plate. Assessment of the resistance to A. brasiliensis and T. mentagrophytes fungi was made according to the PN-EN ISO 14119: 2005 standard. Among the tested preparations to protect leathers against the effects of microorganisms, overall efficacy was obtained for SH 22-27, NS 500 M 250, SU and ODH.
Machine Learning for Soft Robotic Sensing and Control

Herein, the progress of machine learning methods in the field of soft robotics, specifically in the applications of sensing and control, is outlined. Data‐driven methods such as machine learning are especially suited to systems with governing functions that are unknown, impractical or impossible to represent analytically, or computationally intractable to integrate into real‐world solutions. Function approximation with careful formulation of the machine learning architecture enables the encoding of dynamic behavior and nonlinearities, with the added potential to address hysteresis and nonstationary behavior. Supervised learning and reinforcement learning in simulation and on a wide variety of physical robotic systems have shown promising results for the use of empirical data‐driven methods as a solution to contemporary soft robotics problems.
Value-based production planning in non-ferrous metal industries: Application in the copper industry

Abstract Production planners in the non-ferrous metal industry face an inherent combinatorial complexity of the metal production process within a fast-changing market environment. Herein, we study the benefit of an integrated optimization-based planning approach. We present the first value-based optimization approach for operational planning in the non-ferrous metal industry that yields high economic and technical benefits. We present a mixed-integer linear program for non-ferrous metal operational production planning that covers the complexity of material flows and the entire production process and is amenable for real-time application. We give insights into the practical implementation and evaluation of our modeling approach at a plant of Aurubis, a large European non-ferrous metal producer. Our results show that an optimization and value-based production planning approach provides significant benefits, including a 38% better planning solution in practice. In addition to economic benefits, we highlight the technical advantages that result from a detailed techno-economic representation of the entire production process.
Kearifan Lokal Komunitas Sebagai Modal Sosial alam Manajemen Bencana Alam

Penelitian ini bertujuan mengkaji kearifan lokal komunitas sebagai modal sosial dalam manajemen bencana alam untuk memperoleh gambaran secara utuh tentang makna substantif dari komunitas, kearifan lokal dan manajemen bencana alam. Metode penelitian yang digunakan yaitu metode deskriptif dengan pendekatan yang bersifat kualitatif. Terbentuknya komunitas tidak terlepas dari kebutuhan individu untuk berada dalam rasa aman dan memiliki mekanisme pertahanan ketika menghadapi situasi yang membahayakan. Komunitas mengembangkan suatu pengetahuan untuk memahami cara kerja alam, dan kemudian mengikutinya, serta berupaya menghindari apa yang dapat mengancam keselamatan. Kearifan lokal seharusnya dimaknai sebagai pengetahuan komunitas tentang keadaan setempat, atau kearifan setempat, yaitu pengetahuan yang menjawab situasi setempat, yang mana di tempat lain tidak ada. Suatu manajemen bencana alam perlu memperjelas kedudukan komunitas, serta memberi ruang gerak komunitas untuk menggunakan seluruh modal utama yang dimilikinya, yaitu diri (komunitas) dan kearifannya. This study aims to examine the local wisdom of the community as social capital in the management of natural disasters to obtain a full picture of the substantive meaning of the community, local wisdom and management of natural disasters. The research method used is descriptive method with a qualitative approach. The formation of a community is inseparable from the individual's need to be in a sense of security and to have a defense mechanism when facing a dangerous situation. The community develops a knowledge to understand how nature works, and then follows it, and seeks to avoid what can threaten safety. Local wisdom should be interpreted as community knowledge about local conditions, or local wisdom, namely knowledge that answers the local situation, which is not available elsewhere. A management of natural disasters needs to clarify the position of the community, and provide space for the community to use all the main capital they have, namely themselves (the community) and their wisdom.
"Help is finally here!" - Role of Tertiary Institutes in the Promotion of Philippine Mental Health Law (RA 11036)

To correct negative stigma and support mental health well-being, the Philippines enacted RA 11036 otherwise known as the Philippine Mental Health Law. Using exploratory qualitative method of research, this study mapped the perceived (a) source of mental health concerns, (b) hindrances in the promotion of mental health well-being and (c) activities to promote RA11036 in tertiary institutes. Participants of this study are 12 teachers and administrators which were identified using maximum variation sampling. Data were collected using one-on-one in-depth interview. Results revealed that there were six perceived sources of mental health issues in the institutes :self-acceptance, culture, financial status, technology, environment, and organizational crisis. Also, there were three hindrances in promoting the law: or unawareness, anxiety and inactivity of the implementers. Moreover, there were six perceived activities and solutions to support mental health law: peer counselling, trainings, social activities, religious activities, sharing of experiences and conduct of research.
Canola and Oat Forage Potential Evaluation in Four Early Planting Dates

Canola and oat forage potential may be affected by climatic conditions when sown early. The objective of this study was to evaluate the forage canola and oat potential in four early sowing dates (September 11 and 25; October 9 and 23) during the 2012-2013 and 2013-2014 cycles in Matamoros, Coahuila, Mexico. Growth cycle duration, chemical composition, dry matter (DM), crude protein (CP), and net energy for lactation (NEL) yields were determined. High temperatures and long photoperiods affected crops seeded on September 11, accelerating growth and reducing canola (26.6%-31.7%) and oat (15.8%) DM yields. As of September 25, canola cv IMC 205 reached DM yields (7746 kg ha-1-9276 kg ha-1) similar to those obtained by oat (8115 kg ha-1-9507 kg ha-1), while canola cv Hyola 401 obtained such yields only until October 23. Canola chemical composition was better than that found in oat, with higher CP, but lower acid detergent fiber (ADF) and neutral detergent fiber (NDF) contents. Canola equaled oat CP yields (972 kg ha-1-1215 kg ha-1) in the first sowing date, while in the other three other canola sowings reached higher yields (1193 kg ha-1-1889 kg ha-1). As for NEL yields, no difference was observed between both species. The best sowing date for canola is from September 25 on, with CP production advantages over oat.
Messanlage zur Untersuchung des Seebeck-Effektes in Polymermaterialien

Zusammenfassung Der nach dem Physiker Thomas Johann Seebeck benannte thermoelektrische Effekt ist für alle wesentlichen Metalle hinreichend gut erforscht und wird seit langem unter anderem zur Temperaturmessung mittels Thermoelementen genutzt. Weniger bekannt und erforscht ist dieser Effekt in polymeren Werkstoffen, die aber heute auch in der Sensorindustrie immer mehr an Einfluss gewinnen. Im vorliegenden Artikel wird eine Messanlage beschrieben, die speziell für die Untersuchung des Seebeck-Effektes in polymeren Messobjekten mit dem Ziel aufgebaut wurde, maßgeschneiderte Polymere für sensorische technische Anwendungen zu entwickeln, die den Seebeck-Effekt nutzen. Die besonderen Anforderungen an die Messanlage liegen dabei in der Realisierung konstanter genauer Temperaturquellen.
Fuzzy-Model-Based Output Feedback Steering Control in Autonomous Driving Subject to Actuator Constraints

In this article, the problem of steering control based on Takagi–Sugeno (T–S) fuzzy vehicle lateral dynamics is investigated for autonomous driving with nonlinearities, system uncertainties, and actuator constraints. During normal vehicle cruising, the vehicle velocity always changes due to the different road conditions and/or steering wheel maneuvers, and moreover, the vehicle dynamics is also significantly influenced by the tire/road forces under different road surface conditions, which brings many difficulties in steering controller design. By adopting fuzzy modeling techniques and varying look-ahead control strategy, an approach to the T–S fuzzy antiwindup output feedback controller design is proposed for the steering control in path tracking within T–S fuzzy-model-based analysis framework, where the actuator amplitude saturation and rate limit are simultaneously taken into consideration. Finally, valuation results with Carsim/MATLAB joint simulation are shown to demonstrate the effectiveness of the developed methods, and some comparison results in path tracking performance with fixed look-ahead distance control rule and the driver model controller embedded in Carsim are provided, which illustrate the advantages of the developed controller design method.
Applying Experiential Action Learning Pedagogy to an Intensive Course to Enhance Capacity to Conduct Community-Based Participatory Research

Community-based participatory research (CBPR) is widely recognized as an effective approach to understand and address health inequities. Opportunities for public health practitioners and researchers to engage jointly with community partners in intensive colearning processes can build capacity for CBPR. Using active learning approaches that engage diverse partners can enhance partnership development, competence, and equity. Examination of such pedagogical approaches can strengthen understanding of their contributions to the effectiveness of CBPR capacity-building programs. This article describes a weeklong intensive course carried out by the Detroit Urban Research Center as the foundation for a yearlong training program to build the capacity of community-academic partnership teams to engage in CBPR in their own communities. The in-person CBPR course was developed and implemented by expert academic and community instructors and used an experiential action learning model that integrated CBPR principles and processes. We describe the course content and application of our collaborative, experiential action learning model to course design; present results from participant evaluation of course effectiveness, CBPR competence, and equitable partnership development; and examine the contributions of the pedagogical approach to outcomes central to successful CBPR. The participatory, formative course evaluation used multiple methods that included closed- and open-ended questionnaires to assess instructional effectiveness, participant competence on 12 core components of CBPR, and course impact on partner relationships. Evaluation findings suggest that an experiential action learning approach with attention to colearning, collaboration among diverse instructors and participants, and an environment that fosters and models equitable and trusting relationships can be effective in building CBPR capacity.
Kemampuan Pemodelan Matematika Siswa SMP/MTs Melalui Model Pembelajaran Problem Based Learning (PBL)

Kemampuan pemodelan matematika sangat diperlukan dalam menyelesaikan masalah-masalah kontekstual. Ketika menyelesaikan masalah-masalah kontekstual siswa tidak dapat menyelesaikan masalah secara tuntas karena tidak memahami soal dan tidak dapat mengubah masalah ke dalam model matematika. Oleh karena itu diperlukannya proses belajar mengajar dengan menerapkan suatu model pembelajaran yang dapat meningkatkan kemampuan pemodelan matematika siswa yaitu dengan menerapkan model PBL. Penelitian ini bertujuan (1) Untuk mengetahui peningkatan kemampuan pemodelan matematika siswa SMP/MTs setelah diajarkan dengan model PBL. (2) Untuk mengetahui peningkatan kemampuan pemodelan siswa SMP/MTs yang diajarkan dengan menerapkan model PBL lebih tinggi daripada peningkatan kemampuan pemodelan matematika siswa yang diajarkan dengan non model PBL. Rancangan penelitian yang digunakan adalah penelitian eksperimen jenis Quasi Eksperimen dengan desain Non-Equivalent Control Grup. Populasi dalam penelitian ini adalah siswa kelas VIII MTs Lam Ujong. Pengambilan sampel dilakukan menggunakan teknik random sampling dengan kelas VIII4 sebagai kelas eksperimen dan kelas VIII3 sebagai kelas kontrol. Instrumen penelitian terdiri dari perangkat pembelajaran dan lembar tes. Teknik pengumpulan data yang digunakan adalah tes yang terdiri dari pre-test dan post-test. Hasil penelitian menunjukkan bahwa penerapan model PBL dapat meningkatkan kemampuan pemodelan matematika siswa SMP/MTs dan peningkatan kemampuan pemodelan matematika siswa SMP/MTs yang diajarkan dengan menggunakan model PBL lebih tinggi daripada peningkatan kemampuan pemodelan matematika siswa SMP/MTs yang diajarkan dengan non model PBL