Geriatric Interprofessional Education: In-Person Simulation

Our in-person geriatric interprofessional training model is layered with scaffolds of active learning, tabletop team meeting simulation, assessment of older adult community members at risk for falls, and reflective feedback. The first step addresses knowledge acquisition via online didactic content. The second step reinforces the knowledge gained in the online didactics through in-person posters and interactive skills practice, followed by a profession-specific huddle to communicate patient assessment findings. The third step is an interprofessional team meeting simulation based on a case study of a complex geriatric patient. The fourth step is performing a supervised assessment on an older adult. The assessment incorporates the assessment tools practiced during the poster/skills session and team skills learned in the didactics and simulation. This is followed by the design of an interprofessional team-developed patient-centered plan of care. The event ends with a reflective debrief focused on interprofessional collaborative competencies.

Planning Cervical Deformity Surgery Including DJK Prevention Strategies

Distal junctional kyphosis (DJK) is a major concern following cervical deformity (CD) correction, leading to failed realignment and revision surgery. In this chapter, we describe our approach to the treatment of cervical deformity and the steps taken to minimize the risk of DJK post-operatively by tailoring the construction to the individual patient. In this chapter, we describe our approach to the treatment of cervical deformity and the steps taken to minimize the risk of DJK post-operatively by tailoring the construction to the individual patient. First we focus on characterization of the baseline deformity. Secondly, we assess our patients clinically. Thirdly, we simulate the correction with the use of novel in-construct measurements. The fourth step is to develop a DJK prevention strategy tailored to the individual. The last step is to perform surgery and check correction during the operation.

A Contactless Visitor Access Monitoring System

This project presents a contactless visitor access monitoring in small premises which implemented deep learning model in face recognition, develop the graphical user interface (GUI) for new visitor registration and visitor identification. Five stages of monitoring process are designed in the contactless visitor access monitoring (CVAM) GUI, the first step is to give instructions to the admin user regarding the monitoring process, the second step is to perform face recognition, the third step is to scan the body temperature, the fourth step is to perform mask detection on the visitor, and the final stage is to record visitor access time. Another visitor registration (VisReg) GUI is designed to register new visitors into the system. In VisReg, admin user is required to pre-process face images with MTCNN technique and generate new classifier with a ResNet pre-trained model. The contactless visitor access monitoring process is demonstrated. The face recognition gives an accuracy of 82%, while the mask detection gives an accuracy of 95% when tested with the validation dataset. It can be concluded that the visitor monitoring process can be carried out in a contactless way to eliminate the close contact between the security officers, receptionist, and visitors.

Identification of 3,4-Dihydro-2H,6H-pyrimido[1,2-c][1,3]benzothiazin-6-imine Derivatives as Novel Selective Inhibitors of Plasmodium falciparum Dihydroorotate Dehydrogenase

Plasmodium falciparum’s resistance to available antimalarial drugs highlights the need for the development of novel drugs. Pyrimidine de novo biosynthesis is a validated drug target for the prevention and treatment of malaria infection. P. falciparum dihydroorotate dehydrogenase (PfDHODH) catalyzes the oxidation of dihydroorotate to orotate and utilize ubiquinone as an electron acceptor in the fourth step of pyrimidine de novo biosynthesis. PfDHODH is targeted by the inhibitor DSM265, which binds to a hydrophobic pocket located at the N-terminus where ubiquinone binds, which is known to be structurally divergent from the mammalian orthologue. In this study, we screened 40,400 compounds from the Kyoto University chemical library against recombinant PfDHODH. These studies led to the identification of 3,4-dihydro-2H,6H-pyrimido[1,2-c][1,3]benzothiazin-6-imine and its derivatives as a new class of PfDHODH inhibitor. Moreover, the hit compounds identified in this study are selective for PfDHODH without inhibition of the human enzymes. Finally, this new scaffold of PfDHODH inhibitors showed growth inhibition activity against P. falciparum 3D7 with low toxicity to three human cell lines, providing a new starting point for antimalarial drug development.

A Dispatching-Fuzzy AHP-TOPSIS Model for Scheduling Flexible Job-Shop Systems in Industry 4.0 Context

Scheduling flexible job-shop systems (FJSS) has become a major challenge for different smart factories due to the high complexity involved in NP-hard problems and the constant need to satisfy customers in real time. A key aspect to be addressed in this particular aim is the adoption of a multi-criteria approach incorporating the current dynamics of smart FJSS. Thus, this paper proposes an integrated and enhanced method of a dispatching algorithm based on fuzzy AHP (FAHP) and TOPSIS. Initially, the two first steps of the dispatching algorithm (identification of eligible operations and machine selection) were implemented. The FAHP and TOPSIS methods were then integrated to underpin the multi-criteria operation selection process. In particular, FAHP was used to calculate the criteria weights under uncertainty, and TOPSIS was later applied to rank the eligible operations. As the fourth step of dispatching the algorithm, the operation with the highest priority was scheduled together with its initial and final time. A case study from the smart apparel industry was employed to validate the effectiveness of the proposed approach. The results evidenced that our approach outperformed the current company’s scheduling method by a median lateness of 3.86 days while prioritizing high-throughput products for earlier delivery.

Multi-Hazard Susceptibility Assessment: Case Study – Municipality of Štrpce (Southern Serbia)

The Municipality of Štrpce (Southern Serbia) is an area located within the Šar Mountain National Park, and due to its great ecological importance, it was necessary to analyze the terrain susceptibility to the occurrence of natural hazards. The main goal of this research is to determine the locations that are most susceptible to natural hazards (earthquakes, erosion, torrential flooding, snow avalanches and forest fires) on the territory of the municipality of Štrpce. By utilizing the geographic information systems (GIS), the first step was to analyze seismic hazard for a 475-year return period (VII-VIII MCS for the observed area). The second step was to determine the intensity of erosion and total sediment production using erosion potential model (EPM). The mean erosion coefficient is quantified to 0.34, and the total sediment production is 131.795 m3/year. The third step was the analysis potential of torrential floods using the Flash Flood Potential Index (FFPI). This method indicated that 43.33% of the municipality is highly susceptible, and 18.86% is very highly susceptible to torrential floods. The Avalanches Potential Index (AVAPI) method was used for the fourth step which involved determining the area prone to the occurrence and movement of avalanches. It was determined that 9.1 km2 of the municipality area is susceptible to this type of hazard. The fifth step included the analysis of the terrain susceptibility to the occurrence of forest fires. More than half of the municipal area (52.4%) is highly susceptible, and 8.5% is very highly susceptible to forest fires. Following the five criteria analysis, weight coefficients were assigned for each of the analyzed parameters using the analytical hierarchy process (AHP), giving the result of the total susceptibility of the territory of Štrpce to natural hazards. Results indicated that over 45% of the municipality is highly or very highly prone to various natural hazards. This paper presents a significant step towards better understanding and more adequate management and mitigation of natural hazards not only in the investigated area, but on regional and national levels as well.

DHODH and cancer: promising prospects to be explored

Human dihydroorotate dehydrogenase (DHODH) is a flavin-dependent mitochondrial enzyme catalyzing the fourth step in the de novo pyrimidine synthesis pathway. It is originally a target for the treatment of the non-neoplastic diseases involving in rheumatoid arthritis and multiple sclerosis, and is re-emerging as a validated therapeutic target for cancer therapy. In this review, we mainly unravel the biological function of DHODH in tumor progression, including its crucial role in de novo pyrimidine synthesis and mitochondrial respiratory chain in cancer cells. Moreover, various DHODH inhibitors developing in the past decades are also been displayed, and the specific mechanism between DHODH and its additional effects are illustrated. Collectively, we detailly discuss the association between DHODH and tumors in recent years here, and believe it will provide significant evidences and potential strategies for utilizing DHODH as a potential target in preclinical and clinical cancer therapies.

Automated seizure diagnosis system based on feature extraction and channel selection using EEG signals

Seizure is an abnormal electrical activity of the brain. Neurologists can diagnose the seizure using several methods such as neurological examination, blood tests, computerized tomography (CT), magnetic resonance imaging (MRI) and electroencephalogram (EEG). Medical data, such as the EEG signal, usually includes a number of features and attributes that do not contains important information. This paper proposes an automatic seizure classification system based on extracting the most significant EEG features for seizure diagnosis. The proposed algorithm consists of five steps. The first step is the channel selection to minimize dimensionality by selecting the most affected channels using the variance parameter. The second step is the feature extraction to extract the most relevant features, 11 features, from the selected channels. The third step is to average the 11 features extracted from each channel. Next, the fourth step is the classification of the average features using the classification step. Finally, cross-validation and testing the proposed algorithm by dividing the dataset into training and testing sets. This paper presents a comparative study of seven classifiers. These classifiers were tested using two different methods: random case testing and continuous case testing. In the random case process, the KNN classifier had greater precision, specificity, positive predictability than the other classifiers. Still, the ensemble classifier had a higher sensitivity and a lower miss-rate (2.3%) than the other classifiers. For the continuous case test method, the ensemble classifier had higher metric parameters than the other classifiers. In addition, the ensemble classifier was able to detect all seizure cases without any mistake.

Internalisasi Nilai-Nilai Kepemimpinan Islam dalam Organisasi Santri Pesantren (Penelitian di Pesantren Ibnu Siena Mulia Cikoneng Kabupaten Ciamis)

This study aims: (1) To find out how to plan the internalization of leadership values ​​through the Islamic Boarding School Ibnu Siena Mulia (OSPIS) santri organization. (2) To find out how the implementation of the internalization of leadership values ​​through the Islamic boarding school santri Ibnu Siena Mulia organization. (3) To find out how the results of the internalization of leadership values ​​through the Pesantren Ibnu Siena Mulia santri organization. This research is a qualitative field research. Data collection was carried out by using interview, observation and documentation techniques. The data analysis technique used is descriptive analysis. The results of this study indicate that: 1) Planning the internalization of leadership values ​​in the OSPIS Ibnu Siena Mulia Islamic Boarding School is carried out in 4 steps. The first step is the formation of the committee, the second step is the reporting of the old OSPIS committee, the third step is the election of the new OSPIS chairman, and the fourth step is the formation of the new OSPIS structure. 2) The internalization of leadership values ​​in the Ibnu Siena Mulia Islamic Boarding School OSPIS is carried out through the division of divisions with their respective main duties and functions. The internalization of leadership values ​​is carried out in five forms, namely lectures, education, uswah hasanah, training and the environment. 3) Internalization of leadership values ​​in the Ibnu Siena Mulia Islamic Boarding School OSPIS can be felt by the board and boarding school with the formation of an attitude of trust, responsibility, social spirit and good role models.

PROCEDURES IN STRUCTURING VERBAL SENTENCES IN TEACHING AND LEARNING MALAY-ARABIC TRANSLATION COURSE

This paper discusses the procedures used in teaching and learning Malay-Arabic translation courses for students of Bachelor of Arabic Studies with Education.This procedure is designed to facilitate the problem of students in structuring Arabic sentences based on the correct method of translation. Referring to the natural translation theory by Nida and Taber that prioritizes message delivery despite changes to the original text. This method was introduced as an alternative to students to construct Arabic sentences when translating according to the procedure that has been designed systematically for teaching and learning (T&L). This procedure is divided into five steps. The first step is understanding the text through intensive reading. Next, in the second step is finding the meaning of difficult phrases by using dictionary and discussion. The third step, which is the main basis of the procedure is breaking the paragraphs of text into short sentences based on verb phrases. The fourth step is categorizing each sentence into the Arabic syntax structure for verb phrases. The fifth step is compiling and building a draft sentence which is translated directly through the translation text based on the steps above. The outcome of using this procedure increases the quality of Malay-Arabic translation and making it more understandable as students apply the structure of a correct Arabic sentence. This procedure will be used as an alternative for students in practising scientific translation in accordance with translation procedures.