Description Of Problem Research Articles

Pemahaman Kader Korps PMII Putri (KOPRI) Komisariat Universitas Islam Negeri Sumatera Utara Terhadap Feminisme

<p>This research uses a qualitative approach because it seeks to provide an in-depth description of the main problem of this study, namely the understanding of the KOPRI cadres of the UIN SU Medan commissariat towards feminism. While this type of research is philosophical research because the object studied is about the existence of feminism in student organizations. Thus this research is modeled on research on actual problems. The results of this study are: 1) Broadly speaking, the KOPRI cadre of the UINSU commissariat understands feminism as a collective work in which justice is spoken, and justice is the language of the world. So the variety of ideas in feminism does not mean that feminism contains utopian things and is full of fallacies. But as proof that women are able to formulate their ideas through their own experiences and can change the life of the world for the better. Thus, it can be concluded that the understanding of the KOPRI cadre of the UINSU commissariat is close to the understanding of moderate Islamic feminism. 2) The background of the formation of the understanding of KOPRI cadres of the UIN-SU Commissariat towards feminism begins with an awareness of their position and role as cadres, students, Muslims, and women. So that through this position they have accurate data related to feminism, while through this role they have the awareness to conduct a systemic empirical assessment of feminism, because feminism offers various analyses of the causes, perpetrators of women's oppression.</p><p><strong>Keywords</strong><strong>: </strong>Comprehension, KOPRI, Feminism.</p>

A tree search algorithm for uncertainty-considered consecutive discharging and loading operations between ship and offshore platform

This paper presents a combinatorial optimization problem for consecutive discharging and loading operations on a floating cargo-handling platform which is a new maritime technology for liquified natural gas redistribution. Because the discharging and loading process involves complex operations with stochastic and sequential nature, a Markov decision process model is formulated for the problem description with the objective of minimizing the ship turnaround time. Then, a tabu-based tree search algorithm allowing a look-ahead at future states is developed. Two sets of practical rules are proposed to control the local tree structure in terms of depth and breadth. The ship stability is also considered. A comprehensive analysis is conducted to determine the most suitable operation strategy for a specific platform design, followed by the analyses of the impacts of strategy parameters, ship size, operation uncertainties. The results show that a customized strategy that considers the dual-cycling operation outperforms other strategies.

The probabilistic mechanical-material modeling of complex non-homogeneous structures using the coupling of isogeometric boundary element method and reliability approach

Describing mechanical fields with precision in engineering analyses can be a challenging task. Analytical solutions fall short for real complex problems. The widespread use of numerical methods to overcome this obstacle has increased along with the advances in computational capacity. For instance, in geotechnical and composite materials problems, the use of a numerical approach becomes indispensable in several situations. For large volume-to-boundary ratio problems or for non-uniform fields evaluation, the boundary element method is a suitable tool. The method is based on the boundary discretization and on solutions to boundary integral equations. Thus, this article introduces the isogeometric boundary element method formulation and explores techniques for enhancing its physical problem descriptions, specially focusing in geotechnical issues and description of body forces. Two numerical examples are presented. Firstly, a multi-material dam, inspired by the real Itaipu dam section, is analyzed and the results are compared to the well-known ANSYS® FEM software. Furthermore, the article presents a tunnel case study in which a reliability assessment is conducted to account for the inherent uncertainties in the problem. This assessment is accomplished using the improved Hasofer, Lind, Rackwitz e Fiessler-first-order reliability method algorithm, which provides insight into the structural failure risk.

Religious Pluralism According to K.H. Abun Bunyamin in Tafsir Al-Ma'arif

The pluralism of religion in Indonesia has always been a significant topic of debate, given the diversity of this country, consisting of various ethnicities, cultures, and religions. Among the Islamic community, discussions regarding religious pluralism often become heated, with various arguments and evidence presented. One of the viewpoints that addresses religious pluralism is that of K.H. Abun Bunyamin, a prominent Islamic figure in the West Java region, as articulated in his book, Tafsir Al-Ma'arif. This research aims to understand Abun Bunyamin's perspective on religious pluralism in his work. The research method employed is a descriptive-analytical approach, involving problem description, in-depth analysis, and meticulous presentation of research findings. Data sources used include document analysis of Abun Bunyamin's writings and direct interviews with him. The research findings indicate that Abun Bunyamin vehemently rejects the idea of religious pluralism. His perspective is grounded in the interpretation of Surah Ali Imran, verse 85, in which he believes that religious pluralism is not only about recognizing the diversity of religions but also supporting the existence and diversity of these religions. Moreover, he opposes the view of proponents of religious pluralism who claim that all religions are true as long as they submit to God. Abun Bunyamin's perspective on religious pluralism is also influenced by his experiences and his position as the Chairman of the Indonesian Ulema Council (MUI) in Purwakarta Regency, as well as being a kiai who teaches the general public. This has made him more focused on strengthening faith and distancing himself from hatred towards individuals with different beliefs. Thus, this perspective reflects an effort to promote tolerance and harmony among religions in the diverse context of Indonesia.

Penile prosthesis in the medically complex patient: a narrative review.

Penile prosthesis surgery is considered a safe and effective treatment for patients with erectile dysfunction. Implantation in the medically complex patient can be a challenge. The benefits of treatment must outweigh the possible risks or complications. A description of possible problems and how to cope with them is given in this narrative review. Literature search was performed in January 2023 using different search prompts in PubMed. These articles, excluding non-English and non-full text articles, were listed by the two authors and afterwards, the most relevant ones were included. This article is divided into five important topics. We evaluated different comorbidities such as spinal cord injury, diabetes mellitus and cardiovascular disease, in which preoperative work-up and counseling is of significant importance. A detailed description of these comorbidities and how to handle these can be found in each section. In addition to the preoperative aspect in organ transplant patients, problems during surgery can arise, e.g., with the reservoir placement. Similarly, in patients with previous pelvic surgery, an ectopic reservoir placement can prevent possible complications. Preoperative diagnostics are crucial and prosthetic surgery should be done by an experienced high-volume surgeon with a diverse range of surgical techniques at his disposal.

Perencanaan Desain Parkir dan Jalan Akses Menuju Lokasi Wisata Baru di Kadirejo, Karanganom, Klaten

Geographically, Kadirejo village is located to the south of the Karanganom sub-district capital, which is still an integral part of the Klaten Regency area with a distance of 2 km from the sub-district capital and 7 km from the district capital, while from the provincial capital it is around 100 km. The Kadirejo village government has several parts of land that will have no access due to the closure of the Solo – Jogja toll road. To get around this, the Kadirejo Village Head wants to create a new tourist spot in the form of a Tiban market and fishing pond so that the village remains busy and increases the village's cash fund income through Bumdes. For this reason, the village head collaborated with academics to participate in planning the idea. The purpose of this community service is to help the community provide a brief description of partner problems and the goals of community service. The methods used are field surveys, data processing and reports. The final result is suggestions or recommendations regarding parking patterns and types of access roads to the tourist location in question. The recommended parking pattern is an island parking pattern with a type A fishbone shape (60° angle), and the road type is paving.

Strategy Analysis of Health Care Products Advertising for the Aged: Optimization Suggestions Based on Appeal Presentation and Advertising Elements

With the increase in the elderly population, the advertising strategy of healthcare products for older people needs to be systematically analyzed and optimized. Through literature review, this study adopted the advertisements targeting the elderly of three famous Chinese health products brands as cases, analyzing the typical strategies of current advertising practices based on the expression of appeals including rational and perceptual appealing and advertising elements related to social power, then offering suggestions on needs, advertising content and media mix. The results showed that as the basis of perceptual appeal, rational appealing contained product information and health problems. Product information focused on communication at the core benefit level, while the description of health problems promoted purchasing behavior through negative reinforcement. Perceptual appeal mostly adopted the framing of family affection with the appeal objects were simultaneously the elderly and their children. Advertising elements were related to legitimate, reward, and referent power, corresponding to the use of uniform image, incentive enticement and upward social comparison related to the idealized self-image of the elderly. Recommendations involved broadening the appealing technique corresponding to alternative types and higher levels of needs, attempting heuristics including humor and celebrity endorsements, and considering social media-related touching points. This study provided mechanism clarification and theoretical support for health communication and advertising practice.

Evaluation elements of regional balanced development of compulsory education combined with the deviation-maximisation approach

Abstract This paper constructs an algorithm-based evaluation model of compulsory education that combines the deviation maximization method to promote the balanced development of regional compulsory education. We determine if deviation maximization applies to evaluating the balanced development of compulsory education by analyzing its application scope. The evaluation objects are ranked when combined with the combination assignment method. The regional evaluation system for the balanced development of compulsory education uses the algorithm and evaluation problem description method. YaaHP software calculates each index’s final weight results to evaluate the balanced development of compulsory education. According to the results, the first-level indicators of evaluating balanced development of compulsory education have weights of 0.363799, 0.204804, 0.339897 and 0.091510, respectively. This study provides effective reference data for the development of compulsory regional education.

Information as a circular resource – facilitating information exchange to extend product-life

PurposeThis paper aims to study a circular economy business model that offers services with embedded information exchange capabilities to extend product life through maintenance and repair. Information exchange has been identified as a critical factor in advancing the principles of a circular economy, and this research was conducted to illustrate how information exchange can facilitate maintenance and repair.Design/methodology/approachThe study has a case study approach of collecting data through semi-structured interviews and questionnaires.FindingsInformation exchange on what and when to do something engages end-users in maintenance and facilitates learning. For repair, the problem description and possible solutions are information that must be exchanged. Both types of information exchange are facilitated by simple tech solutions relying on known and inexpensive technology (e.g. e-mail service, video call and text messaging).Research limitations/implicationsThe study contributes to the organisational development and knowledge management fields with novel insights on how information exchange and circular economy are related and can be facilitated.Practical implicationsThe study provides insights for companies looking for solutions on how to generate revenue from services and reduce resource consumption. The findings of the study suggest that the development of circular business models does not always require expensive high-tech solutions.Originality/valueTo the best of the authors’ knowledge, this study is unique as it is empirically based on insights into how information exchange can extend product life through the use of simple digital tools.

Construction of reflective thinking: A field independent student in numerical problems

In educational settings, reflective thinking is often overlooked, with an excessive emphasis on final answers, resulting in students needing more ability to evaluate and reconstruct their problem-solving processes. The ability for reflective thinking is required by students in solving problems, including numerical problems. This study uses a qualitative approach to focus on field-independent students' numerical problem-solving processes. The data collection technique begins by administering the Group Embedded Figures Test (GEFT), a valid and reliable numeracy problem instrument, and conducting in-depth interviews. Two students with similar initial mathematical abilities and field-independent cognitive styles were selected as research subjects. Findings reveal that these students face challenges such as lengthy problem descriptions and a lack of confidence but gradually develop strategies, emphasizing repeated problem analysis, concept interconnections, and error awareness. Researcher-provided scaffolding facilitates critical reflection, enabling the construction of new ideas. These results have practical implications for teachers, suggesting the need to design lessons that cater to diverse cognitive styles, providing more complex problems to field-independent students to enhance their problem-solving skills.

Weighted tardiness minimisation for unrelated machines with sequence-dependent and resource-constrained setups

Motivated by the need of quick job (re-)scheduling, we examine an elaborate scheduling environment under the objective of total weighted tardiness minimisation. The examined problem variant moves well beyond existing literature, as it considers unrelated machines, sequence-dependent and machine-dependent setup times, and a renewable resource constraint on the number of simultaneous setups. For this variant, we provide a relaxed MILP to calculate lower bounds, thus estimating a worst-case optimality gap. As a fast exact approach appears not plausible for instances of practical importance, we extend known (meta-)heuristics to deal with the problem at hand, coupling them with a Constraint Programming (CP) component – vital to guarantee the non-violation of the problem's constraints – which optimally allocates resources with respect to tardiness minimisation. The validity and versatility of employing different (meta-)heuristics exploiting a relaxed MILP as a quality measure are revealed by our extensive experimental study, which shows that the methods deployed have complementary strengths depending on the instance parameters. Since the problem description has been obtained from a textile manufacturer where jobs of diverse size arrive continuously under tight due dates, we also discuss the practical impact of our approach in terms of both tardiness decrease and broader managerial insights.

The Relationship between Learning Activities and Mathematical Problem-Solving Abilities in Elementary School

This research investigates the relationship between elementary school students' learning activities and mathematical problem-solving abilities. A quantitative functional correlation method was utilized with 52 fourth-grade students. Questionnaires were used to measure learning activities, while problem descriptions were used to assess mathematical problem-solving abilities. The IBM SPSS Statistics 22.0 application and the Spearman Rank method were used for data analysis. The study results indicate a positive relationship between learning activities and mathematical problem-solving abilities. The regression equation showed a proportional relationship, where higher learning activities resulted in better problem-solving abilities. The coefficient of determination indicated that 8.2% of the variance in problem-solving abilities could be attributed to learning activities. The t-test results demonstrated a significant relationship between learning activities and mathematical problem-solving abilities. Therefore, this study concludes that learning activities significantly impact the mathematical problem-solving abilities of fourth-grade elementary school students in Banjarwatu, Bogor Regency.

A Rare Case of HACEK Endocarditis in the Context of a Permanent Pacemaker

Introduction: Infective endocarditis (IE) is a serious medical condition that can lead to high morbidity and mortality rates. The prevalence of healthcare-associated IE is increasing due to the use of therapeutic devices, such as intravascular catheters and cardiac devices. The HACEK group of bacteria, are commonly found in human respiratory and genitourinary tracts, are low virulence and fastidious organisms that are associated with blood culture-negative endocarditis. Proper diagnosis requires a combination of clinical, microbiological, and imaging results. The following study presents a case of atypical device-associated IE caused by Haemophilus influenzae in a 56-year-old man with a permanent pacemaker. Methodology: description of a clinical problem, its diagnosis, management, and outcome, accompanied with a literature review. Conclusion: This study highlights the importance of considering the HACEK group of bacteria in culture-negative IE cases and the use of advanced imaging techniques in diagnosis to prevent further complications and improve patient outcomes.

Strategi Branding Usaha di Kalangan Pelaku UMKM

The abstract contains a brief description of the research problem and objectives, methods used, and research results. The pressure for writing abstracts is mainly on research results. Abstracts are written in Indonesian and English. Abstract typing is done single-spaced with narrower margins than the right and left margins of the main text. Key words need to be included to describe the problem domain being researched and the main terms that underlie the implementation of the research. Key words can be single words or combinations of words. Number of key words 3-5 words. These keywords are necessary for computerization. Searching for research titles and abstracts is made easier with these keywords.

Research on distributed scheduling of mechanical job shop based on hybrid differential evolution

Abstract The scheduling of mechanical job shops may be optimized, which is a significant approach to boosting production effectiveness. Based on the description of the job shop scheduling problem in this paper, a mathematical model is built with the objective function of minimizing the maximum completion time. The vector evaluation genetic algorithm, which samples the edge region, and the adaptation function, which completes the sampling of the core region, are both offered as improvements for the differential evolutionary algorithm focused on job shop scheduling. After the sampling has been encoded, the best scheduling solution is sought using a sequential differential strategy. The modified HEA-SDDE algorithm’s maximum completion time for the actual scheduling scenario of K’s job shop is decreased by 12.4%, and the posting rate of the best solution to the ideal solution reaches 0.516.

Description of Problem Solving Ability of Class X Students of Al-Azhar 10 Pontianak Islamic High School on Chemical Bonding Subject Material

This research was conducted to determine the problem solving ability of class X students of Al-Azhar 10 Pontianak Islamic High School on chemical bonding material. The type of research is descriptive qualitative problem solving ability. The research subjects were X IPA 1 class students of Al - Azhar 10 Pontianak Islamic High School totaling 21 people. Data collection tools include test questions designed based on problem-solving and interview guidelines developed based on problem-solving—data collection techniques using measurement techniques and direct communication techniques, namely written tests and unstructured interviews.The results of the problem solving ability data analysis were calculated using a problem solving ability assessment instrument and were presented as a whole based on the problem solving criteria instrument. The results of the analysis obtained students' problem solving ability on chemical bonding material, namely indicators of understanding the problem 49% (sufficient), making a plan 56% (sufficient), implementing a plan 63% (good), and checking back 70% (good) with an average percentage of 60% (sufficient). So it can be concluded that students' problem solving skills on chemical bonding material have an adequate predicate.

Proposal of a coupled DDA-SPH method incorporating a new contact algorithm for soil-structure interaction simulations in geotechnical hazards

Accurate description of soil-structure interaction problems in geotechnical hazards is challengeable. A coupled method is a potential approach to solve such problems. Discontinuous deformation method (DDA) can be used to describe structure behavior and smoothed particle hydrodynamics (SPH) suits well for capturing soil behavior; meanwhile, the coupled DDA-SPH method can simulate complex soil-structure interaction through a contact algorithm. In the original contact algorithm, a penalty method using the Mohr-Coulomb failure criterion is utilized to embody the interaction forces. However, five calculation parameters are involved and should be chosen carefully. Moreover, the energy dissipation cannot be considered quantitatively and suitably. To overcome these drawbacks, a new contact algorithm is proposed in this study. This new contact algorithm can consider the friction and energy dissipation at contacts between DDA blocks and SPH particles using two physical parameters (including the interface friction angle and coefficient of restitution). Several validation examples were carried out to investigate the performance of the newly coupled DDA-SPH method. The simulated results were compared with theoretical solutions or those obtained by other different numerical methods, which shows good agreements. This suggests that the newly coupled DDA-SPH method can be applied to conduct the soil-structure interaction simulations with ease.

Brazilian macroeconomic dynamics redux: Shocks, frictions, and unemployment in SAMBA model

This paper documents the recent changes in the structure and estimation procedures of the SAMBA model, providing a complete description of the decision problems that each economic agent faces, the first order conditions that solve those problems, and the new techniques employed to estimate the model. This updated version of the model incorporates new features, such as involuntary unemployment, imported goods in the consumption bundle and a new identified vector auto-regressive process for the rest of the world. Reflecting these changes, the set of observables was expanded to include, for instance, participation rates in the labor market and an exogenous measure of output gap. In face of increased complexity and the large number of observables, the model was estimated using Sequential Monte Carlo (SMC) methods, allowing for a smaller sensitivity to the choice of priors.

Automotive fault nowcasting with machine learning and natural language processing

Automated fault diagnosis can facilitate diagnostics assistance, speedier troubleshooting, and better-organised logistics. Currently, most AI-based prognostics and health management in the automotive industry ignore textual descriptions of the experienced problems or symptoms. With this study, however, we propose an ML-assisted workflow for automotive fault nowcasting that improves on current industry standards. We show that a multilingual pre-trained Transformer model can effectively classify the textual symptom claims from a large company with vehicle fleets, despite the task’s challenging nature due to the 38 languages and 1357 classes involved. Overall, we report an accuracy of more than 80% for high-frequency classes and above 60% for classes with reasonable minimum support, bringing novel evidence that automotive troubleshooting management can benefit from multilingual symptom text classification.

University students' digital spaces in online learning communities: Implications for understanding, protecting and maintaining privacy

AbstractIn addition to learning effectively and effectively in online learning communities (OLCs), students must be in a secure environment and privacy must be respected. The study aimed to identify privacy violations that university students encounter in OLCs, and identify recommendations and some strategies to implement to ensure privacy at the OLC. A qualitative research method was applied in the study. First, focus group interviews were conducted with a total of 108 students who participated actively in the OLC. After analysing the interview data, a privacy violations report (RPV‐OLC) was prepared at the OLC. According to the RPV‐OLC, a problem description for the Delphi technique was designed and 17 experts were identified for the interview. Delphi panels with experts were completed in 5 months. The content analysis process was used for the data obtained. Students said they encountered information sharing and access, access to information, system/course settings, resistance to negotiations, communication problems and lack of knowledge. On the other hand, experts suggest that different suggestions and strategies could be implemented to ensure privacy in the OLC, such as partial privacy, mutual trust, contextual privacy agreements, role‐based or anonymous identity use, and privacy education. The study focused on defining the concept of privacy and student privacy violations in online learning environments and providing solutions for educators, students and system administrators. Practitioner notesWhat is already known about this topic Digital learning environments pose a threat to the privacy of students. The fact that privacy violations in the OLC can trigger concerns among students has a negative impact on learning processes. There is high interest at the moment in how to plan the most effective teaching in online learning environments—but privacy is being neglected. What this paper adds This article explains the privacy violations university students encounter at the OLC. This document contains guidelines on how to mitigate and prevent privacy violations in OLC. The results of the study also provide suggestions for privacy protection at the OLC. Implications for practice and/or policy It is important that the instructors who participate in the OLC are informed about the necessary measures, rules, principles, activities and follow‐up measures to protect their personal privacy. If we can overcome students' concerns about privacy violations at the OLC, we can create more comfortable learning spaces. The aim of learning should not only be to peak performance; the most important responsibility of educators or system administrators is to preserve each student's private space, while at the same time achieving the best performance.