bluuebunny/crossref_metadata_2025 huggingface dataset:
A Black Widow Optimization-Based Neuro-Fuzzy Model for Designing an Efficient Cluster Routing Protocol in a VANET Environment
Authors: Jyothi N  , Patil Rekha
Published: August 2022

Vehicular ad hoc networks (VANETs) are the form of mobile ad hoc network that offers comfort and protection to road consumers. Accident prevention and traffic safety are improved by using VANET. One of the challenging tasks is developing an efficient routing protocol due to the VANET characteristics including rapid topology changes, frequent link disconnection, and self-organizations. Clustering is an important strategy for solving these issues in the mobile environment. In this study, we have proposed an evolutionary Black Widow Optimization (BWO) based Neuro-Fuzzy Optimization (EBW-NFO) algorithm for a cluster routing protocol that considers mobility constraints, mistrust value parameters, and Quality of Service (QoS) requirements. During communications, the connectivity and stability are increased and the EBW-NFO algorithm offers a stable and reliable clustering protocol. The experiments are conducted using an NS2 simulator and the performance is verified using different performance metrics
Fuzzy Sematic Segmentation and Efficient Classification of Lung Cancer Multi-Dimensional Datasets
Authors: Dev Patil Prabhu , Patil Shantala Devi , Hulipalled Vishwanath R. , Patil Kiran
Published: August 2022

Lung cancer is one of the leading cause of cancer death around the world. Lung cancer has been the most common cancer worldwide since 1985, both in terms of incidence and mortality. Recognition and prediction of lung cancer at the earliest stage can be very useful to improve the survival rate of patients. Effective and early diagnosis of cancer is one the major challenging task for medical practitioners. In this research work, we propose a novel technique on lung MRI image based segmentation and classification is using fuzzy logic and deep learning. The proposed technique considers multi-dimensional medical dataset modeling and representation for effective diagnosis and prediction. A fuzzy based sematic segmentation with relevance to Region of Interest (RoI) extraction and append deep learning models to customized RoI selection under segmented patches. The multi-layer classification approach is viewed to be an effective and accurate diagnosis method for the prediction of disease at early stage.
Secure Energy-Efficient Load Balancing and Routing in Wireless Sensor Networks With Mediative Micro-ANN Fuzzy Logic
Authors: Kocharla Laxmaiah , Veeramallu B.
Published: August 2022

The security and life time of network are most import factors in wireless sensor networks (WSN). In this research work Mediative Micro ANN Fuzzy logic(MMAFL) has been proposed, along with load-balance routing algorithm. The designed method can increase WSN’s additional feature like securing packet from message capture and tampering attacks. The aim of the proposed routing algorithm is reduce the overall energy consumption and ensure fair use of node energy, so that lifetime of the network has been automatically increased. Experimentation of the proposed Mediative Micro ANN Fuzzy logic is implemented in MATLAB 2018b software and compared with the existing techniques to prove the effectiveness of the approach. The MMAFL model is most useful for medical, Mobile, and industrial applications for data transferring and network security. The performance measures like accuracy 97.45%, F measure 97.34%, overhead 11.10%, delay 8.96ms, throughput 90%, lifetime 27%, and packet-delivery ration 86.11% had been attained, which are most prominent compared to earlier models.
Research on System Risks of “Internet + Supply Chain Finance” Based on SNA, Dynamic Evolutionary Game, and Bayesian Learning Principle Simulation
Authors: Liu Ji Lu , Hu Ni , Zhang Cheng
Published: August 2022

Under the background of "Internet +", the supply chain financial model and process have undergone profound changes. Firstly, through the social network analysis, the correlation between the participants in the Internet + supply chain finance is directly visualized. Secondly, the dynamic risk evolution model of the system is constructed based on the different functions between the participants. Unstable solution and saddle points of the system be calculated ; on this basis, Bayesian learning principles are used to build an Internet + supply chain financial credit default risk simulation model, and the simulation model is encapsulated. Finally, a numerical example is used to verify the simulation model operation Convenience, efficiency and reliability.
Adaptive System to Improve the Acquisition of Educational Knowledge for Learners
Authors: Benkhalfallah Fateh , Bourougaa Salima
Published: August 2022

The digital age in which we live today is witnessing technological development and an information revolution in various fields. This technological development has been imposed on education and it has become important to recognise adaptive e-learning systems as one of the most interesting research areas in online distance education. This area of research allows developers to build a distinct learning environment that meets the needs of each learner separately, in order to adapt learning to their needs and characteristics. This paper aims to give an overview of state-of-the-art adaptive and intelligent e-learning systems by describing their features and architecture, as well as the actual implementations. the authors also highlight some prospects for future work by reviewing, discussing and analysing existing systems. In addition, the authors propose an overall architecture with the system components that will be used to run our mobile application.
Fostering the Learning Process in a Programming Course With a Chatbot
Authors: Malik Sohail Iqbal , Ashfaque Mohammed Waseem , Mathew Roy , Jabbar Jasiya , Al-Nuaimi Rim Salim , Alsideiri Abir
Published: August 2022

Novice programmers have to focus and learn different programming skills in programming 1 course at the same time. Therefore, they need more support to answer their queries related to the programming domain. This study developed and offered a chatbot in programming 1 course. The chatbot focuses on course details, fundamental programming concepts, and common programming errors. The perception of programming 1 students and instructors regarding the chatbot in programming education were collected through the survey and focus group respectively. The results of the students’ survey revealed that the chatbot supports students in learning programming and common programming errors in the course. The focus group participants agreed that the chatbot provides one-to-one teaching experience to novices. The chatbot serves as a virtual teaching assistant and promotes students-centered learning. The focus group participants also agreed that the chatbot approach provides additional support to students in their learning process of programming domain.
Moving Towards Less-Modeling Enablers of Responsible Consumption for Sustainable Consumption in an Emerging Economy
Authors: Jain Vijay Kumar , Verma Hemraj , Naithani Jayati , Agarwal Shipra
Published: August 2022

The natural resources on the planet are finite, but the depletion of resources is happening at a rate higher than they can be replenished and sustained. The hidden cost of such irresponsible consumption is very high and has already been felt by the present generation in the form of extinction of species and degradation of the environment. People often consume in excess of what is required. This calls for more rational and efficient consumption of products in order to reduce the burden on the resources. The extant literature on responsible consumption until now has been given less attention despite being of utmost importance. Therefore, the present study is aimed at identifying the enablers of responsible consumption and prioritizing them. This research adopts an interpretive structural modeling technique to identify and organize eleven enablers linked to responsible consumption.
The Contribution of COVID-19 Innovative Projects for Sustainable Development
Authors: Almeida Fernando
Published: August 2022

COVID-19 has brought new challenges to the achievement of the sustainable development goals as proposed by the United Nations in the 2030 Agenda. However, innovative projects developed by governments, private sector, and civil society present themselves as an opportunity to mitigate the effects of COVID-19 on sustainable development. This study uses the Observatory of Public Sector Innovation promoted by the Organization for Economic Co-operation and Development to explore how innovative projects address the 17 sustainable development goals. The Portuguese context is used to qualitatively characterize this phenomenon. The findings reveal that these projects also offer relevant contributions in areas such as public infrastructure support, health promotion, quality of education, and reduced inequalities.
The Pursuit of Less
Authors: Jain Vijay Kumar , Gupta Anu , Verma Hemraj , Kumar Pankaj
Published: August 2022

The earth's resources are being exhausted at an ever-increasing pace by humans. This is the outcome of an ever-increasing level of consumption per person multiplied by an ever-increasing global population. The demand for resources and the conditions needed to support it increases as the population grows. Therefore, increasing consumption and fast depletion of resources requires need for minimalism requires to learn how to optimize decision making in our new choice-packed world. The current study aims at identifying the drivers of minimalism and further prioritizing them. Lifestyle changes, modern aesthetics and reducing unessential’s have been emerged as most important drivers of minimalism. The finding of the study would help policymakers to frame strategies to encourage minimalism as a way of life This would further helps in reducing stress and anxiety, minimize excess consumption, global warming, thereby, preventing rapid resources depletion, environmental degradation, and minimize carbon footprint.
Innovation Effort in the Biotechnology Segment Applied to Plant Agribusiness
Authors: Silva de Almeida João Marcos , Rezende da Costa Priscila , Kniess Cláudia Terezinha , Porto Geciane Silveira , Pigola Angélica , Goncalves Marcelo Neves
Published: August 2022

Biotechnology applied to Plant Agribusiness (BPA) has become increasingly familiar. However, innovation effort determinants account for a gap that has yet to be fully investigated. Therefore, was examined the influence of technological cooperation and knowledge flow in the innovation efforts of countries. In methodological terms, 20,149 patents from the BPA sector were collected from the Derwent Clarivate database from 1998 to 2019. Regarding the main findings, it is worth highlighting the occurrence of greater innovation efforts in developed countries. However, from 2015 onwards, an increase in priority technologies was identified in developing countries, which then overtook developed countries in 2019. Finally, has been proven that technological cooperation has a positive effect on innovation efforts and that there is a tendency to generate new technologies with less reference to existing technological knowledge, perhaps as an avant-garde attempt to seek a competitive advantage, prioritizing new knowledge and, at the same time, technological distinction.
The Impact of Orientations on Sustainable Performance
Authors: Abdulaziz-Alhumaidan Humaidan Abdullah
Published: August 2022

This study has aimed to investigate the influence of managers’ orientation towards sustainability on corporate social responsibility (CSR) practices; besides, how those activities may affect social, economic and environmental sustainable performance. Moreover, it has explored the role of social responsible practices as a mediator across orientations and social, economic and ecological performance. Research data is collected by a survey and purposive technique has been adopted. Managers and owners of small and medium manufacturers (SMMs) were the sample. It has been found that moral orientations of managers have impacted CSR practices, and these activities have influenced environmental and societal sustainable performance, whereas economic sustainable performance is not being affected. Further, CSR practices have mediated owners’ orientations and sustainable performance dimensions excluding economic sustainable performance. The study has suggested that future research could investigate other sectors, and they may explore more variables.
An Early Predictive and Recovery Mechanism for Scheduled Outages in Service-Based Systems (SBS)
Authors: Goel Swati , Gupta Ratneshwer
Published: August 2022

Almost all businesses today use composite web services based on the set of web services working concurrently to attain a goal. Therefore, continuous availability of critical services in SOA is important as it is used by safety critical and business systems. This paper proposes an early predictive and recovery mechanism based on fault-tolerance for early prediction and recovery of scheduled outages (SO). The mechanism allows an efficient outage planning. Once an SO is predicted, the mechanism allows recovery mechanism to be applied according to the service criticality (SC). LMFTSO is comprised of other two models: scheduled outage learning model (SOLM) and fault tolerance learning model (FTLM). These two proposed models are used for learning SO in the context of SBS and FT mechanisms respectively. An explanation-based machine learning (EBL) is used. The proposed model is implemented using PROLOG. A case study of a SOA-based e-commerce has been taken for validation.
A Hybrid Harmony Search
Authors: Abarajithan Sivamathi , S.Vijayarani
Published: August 2022

High Utility Association Rule mining discovers high correlated products in the form of rules. Till date there was no existing algorithm for High Utility Association Rules in a multi-level database. This research work proposes a Hybrid Harmony Search - Antlion Optimization algorithm (HHSAO) to retrieve high utility association rules in multi-level transaction database. First the proposed algorithm implements Harmony Search Algorithm to remove less profitable transactions and then apply Antlion trapping behaviour of Antlion Optimization algorithm to recover the rules from reduced database.The performance of proposed algorithm was compared with adopted existing algorithms like GA, PSO, ACO, AMO, BSO, PeSO, HS and ALO. The experiment was carried out with six datasets. The experimental results prove that the HHSAO algorithm works better.
Technology Assessments and Effective Risk Management
Authors: Hoffmann Christian Hugo
Published: August 2022

It is a common misconception in risk management, from classical purely quantitative risk assessments as being coined in banking to qualitative approaches to evaluating new technologies such as AI, and hybrids like scenario techniques in the middle, that a certain toolkit and a specific set of methods serve as a panacea for all challenges risk managers may face. Given the lurking pitfalls in this area of risk management, the call for an avoidance strategy cannot be ignored. In this article, we outline six guidelines that should be followed on the way to more decision-making competency in risk management.
Self-Healing in Web Service-Based Systems Using QoS
Authors: Bouanaka Mohamed Ali , Hamaz Kamal , Tebib Assia , Sandeli Mohamed
Published: August 2022

Availability of components in online systems cannot be guaranteed due to the unstable nature of the web (updates, changes, etc.). A well-designed system must take this fact into account in order to ensure the availability of services which is a very difficult challenge due to the confidentiality and autonomy of each service component. An interesting solution for this is to tolerate these problems at the composite level by having a mechanism of recovery, called Self-healing. In this work, we proposed a solution that consists of implementing a formal approach, making it possible to model a business process (web service composition) by timed automata of the type daTA, while ensuring the quality of service taking into account the functional and non-functional needs of the system (in this case, the QoS represents the response time). The main objective of this project is to create a system that allows you to compare two web service compositions in pairs, to decide whether they are equivalent or not to ensure a perfect self-healing working system by the end.
Application of an Improved Clustering Algorithm of Neural Networks in Performance Appraisal Systems
Authors: Yi Yun
Published: August 2022

With the development of economic globalization, human resource competition has long become the key core of enterprise development and peer competition. Reasonably Formulating an enterprise’s employee performance appraisal management system and conducting standardized, fair, and just appraisal management are the basic requirements for the survival and development of an enterprise. This paper studies the application of an improved clustering algorithm based on neural network in an employee performance appraisal management system and explores its application value in the employee performance appraisal management system by using the improved ART2 clustering method that draws on leakage competition and Hebb rules. The experimental results of this paper show that the satisfaction of this system in the four aspects of integrated data management, system stability and convenience, and transparency in performance appraisal are all above 66%. This shows that this system has superior performance and good reference value.
Plants’ Steroidal Saponins - A Review on Its Pharmacology Properties and Analytical Techniques
Authors: Porte Sudha , Joshi Veenu , Shah Kamal , Chauhan Nagendra Singh
Published: August 2022

The plant is a rich repository of useful secondary metabolites with profound medicinal potential. Saponins, one type of bioactive compound, are amphitheatric glycosides with one and more hydrophilic sugar and hydrophobic steroidal and terpenoid part. The former is known as steroidal saponin, and the latter is called terpenoid saponins. Steroidal saponin is mostly distributed among monocotyledon families such as Asparagaceae, Amaryllidaceae, Dioscoreaceae, Smilacaceae, and Liliaceae. Even though it is unusual, it could also be detected to some extent by dicotyledonous angiosperms, such as Plantaginaceae, Zygophyllaceae, Fabaceae, Asteraceae, and Solanaceae. It exhibits diverse pharmacological ability including antimicrobic, anti-inflammatory, cAMP phosphodiesterase inhibitory, antiadipogenic, bactericide, cardioprotective, antitumor, antidiabetic, cytotoxic activity, antifungal, antiviral, antioxidant, and hepatoprotective. Steroidal saponin timosaponin AIII from Anemarrhena asphodeloides has been found to possess antitumor activity. Diosgenin, another steroidal sapogenin, has the potential of preventing neurological diseases by affecting different signaling pathways, increasing bone formation, and increasing antithrombotic activity. Spicatoside A from Liriope platyphylla possesses anti-inflammatory, antiasthma, and antiosteoclastogenic activities. TTB2 from Trillium tschonoskii exhibits anticancer potential. The cell cycle arrest and ROS-dependent autophagy are induced by polyphyllin I. These diverse biological activities of steroidal saponins are attributed to the variability of their structural features. Analysis of steroidal saponins in plant materials mainly utilizes classically and advances thin layer chromatography (TLC) on normal and reverses-phase (high-performance thin-layer chromatography, densitometric TLC), gas chromatography, LC, UPLC, ultra-high-performance liquid chromatography (HPLC), supercritical fluid chromatography, and HPLC coupled to ultraviolet detector and diode array detector. HPLC coupled with MS and Nuclear magnetic resonance is used for online identification of separated saponins. The present review aims to furnish a comprehensive account of the recent advances in analytical methods of determination and medicinal applications of steroidal saponins.
Preoperative incremental shuttle walk test for morbidity and mortality prediction in elective major colorectal surgery
Authors: Soumya C N , Thomas Mary , Ravindran Subha , Jagathnath Krishna K M
Published: August 2022

Background and Aims:

The incremental shuttle walk test (ISWT) is a simple reproducible and non-invasive test for assessing cardiopulmonary function. The maximum oxygen consumption is less than 10 ml/kg/min for ISWT distance of less than 250 m. This study aimed to evaluate the effectiveness of ISWT in predicting morbidity and mortality in elective colorectal oncosurgery and to find the correlation of ISWT with the Duke Activity Status Index (DASI), Borg dyspnoea score, and peak oxygen uptake (VO2 max).

Methods:

This prospective study involved 46 patients aged more than 60 years with American Society of Anesthesiologists physical status I and II undergoing elective colorectal surgery under general anaesthesia with an epidural block. ISWT was conducted preoperatively and patients were monitored for 30 days postoperatively. For a comparative analysis, patients were divided into two groups: group 1– who could walk 250 m and group 2 – could not walk 250m. Categorical data were evaluated using the Chi-square test, while continuous data were evaluated using the Student’s t-test. The strength of correlation was determined using Pearson’s correlation coefficient.

Results:

Postoperative complications (P = 0.001) and lengthy stay in hospital and intensive care unit (P = 0.001) were experienced by all patients who were unable to complete the ISWT distance of 250 m. ISWT distance of 250 m corresponds to a DASI score of 10.5, which is equivalent to a calculated VO2 max of 14.1ml/kg/min.

Conclusion:

The ISWT with a cutoff distance of 250 m is a reliable predictor of postoperative morbidity in patients undergoing colorectal oncosurgery.
Evaluation of Dimensionality and Reliability of the Autonomy over Smoking Scale among South Indian Smokers
Authors: Parimi Nalini , Bikkina Nalini , Bommireddy Vikramsimha , Chandu Viswa Chaitanya , Anupama Busi Ruth , Gowthami Madasu
Published: August 2022

Introduction:

In spite of the efforts being directed at reducing the tobacco use among public, it remains a significant concern facing India today. In the quest of providing tobacco cessation counseling, documentation of the tobacco dependence of the individuals is quintessential. This study aims to assess the psychometric properties of the autonomy over smoking scale (AUTOS) among patients seeking oral health care at a teaching dental institution in southern India.

Materials and Methods:

The study sample constituted 199 subjects who satisfied the eligibility criteria of self-reported current smoking and were willing to participate in the study. Participants’ age, gender, and years of smoking were documented along with their nicotine dependence by administration of Fagerstrom test for nicotine dependence (FTND) and AUTOS by a trained interviewer. The dimensionality of AUTOS was verified by confirmatory factor analysis using the Classical and Bayesian Instrument Development software program. Correlation analysis between FTND and AUTOS subscale scores was performed along with multiple linear regression analyses to identify the predictors for AUTOS subscale scores.

Results:

The symptom type-wise subscales of AUTOS and the overall scale demonstrated good internal consistency reliability (Cronbach alpha ≥0.758). Significant positive correlation was observed between age, years of smoking, FTND score, and all the AUTOS subscale scores. Linear regression analyses showed that the number of years for which the subject had been smoking was a significant predictor of all the three AUTOS subscale scores.

Conclusion:

AUTOS was observed to be a very useful tool with good internal consistency reliability that measures tobacco dependence in consistence with FTND among South Indian population, and while doing so, it captures the various forms of tobacco dependence in an independent manner.
The impact of inflammatory bowel diseases on the quality of life of Saudi pediatric patients
Authors: Alhadab Abdulhamid A. , AlMahamed Shaden N. , Hassan Ibrahim E. , Hammo Abdelhai H.
Published: August 2022

Background:

Inflammatory bowel disease (IBD) is a chronic gastrointestinal tract disorder characterized by periods of exacerbations and remissions that affect multiple aspects of a pediatric patient's quality of life. The purpose of this study is to describe the health-related quality of life of Saudi pediatric IBD patients and to determine the influencing factors which can affect it.

Methods:

This is a single center cross-sectional descriptive study, conducted between December 2019 and December 2021. Patients aged between 9 and 16 years diagnosed with IBD were included; IMPACT III quality of life questionnaire was used.

Results:

Thirty-eight patients participated in the study, 57.9 % being male, with a mean age of 12.48 ± 2.72 years, and 55.3 % of patients were diagnosed with Crohn's disease (CD). The most frequent medications were aminosalicylic acids derivatives, followed by immune-modulators and biologics. The IMPACT III quality of life questionnaire has shown lower scores in IBD patients in comparison to healthy control groups. Patients with active disease have lower total and sub-domain scores than patients with inactive disease. We found no correlation between health-related quality of life (HrQOL) and the number of medications used, disease duration, or gender.

Conclusions:

Pediatric IBD patients have significantly lower HrQOL scores than healthy children. Disease activity was found to be a predictor for poor HrQOL outcome.
Clinical and Polysomnographic Characterization of REM Sleep Behavior Disorder: Casuistic of a Portuguese Sleep Medicine Center
Authors: Saraiva Fernandes Catarina , S. Carvalho Inês , Brás Ana Catarina , M. Luzeiro Isabel
Published: August 2022

Introduction: REM sleep behavior disorder (RBD) is diagnosed by clinical history of abnormal and complex movements during sleep and by polysomnographic findings. Accordingly, RBD may occur isolated (iRBD) or, frequently, in association with neurodegenerative diseases, namely synucleinopathies generally preceding its onset. Thereby, our aim was to characterize the clinical and video-polysomnography (vPSG) features of patients diagnosed with iRBD and RBD plus Parkinson disease (RBDPD); analyze the symptoms and signs (motor and non-motor) that RBDPD patients presented before the diagnosis of PD, to realize if there is any predictive factor for phenoconversion.
 
Methods: Retrospective, observational and unicentric study. The study included all patients with a clinical diagnosis of RBD (isolated and associated with PD), according to the diagnostic criteria of DSM-5 and ICSD-3 and who underwent polysomnographic recording at the Sleep Medicine Center of a hospital. level III, between January 2008 and May 2021.
 
Results: A total of 48 patients were included and divided in iRBD (27 patients) and RBDPD (21 patients) groups. We proceeded to a clinical, demographic and vPSG characterization and comparison. In both groups, the majority of patients were male and the average age of RBD diagnosis was 64-65 years. In iRBD group, the most reported manifestation was violent sleep movements. In this group, we found five patients with subtle motor signs. In the RBDPD group, the majority had a previous diagnosis of RBD, on average, about six years before. The most common clinical feature was the presence of vivid dreams with violent content. In the iRBD group, the percentage of RSWA was higher in the subgroup of patients with subtle motor signs and other premotor symptoms, namely depression (34.2%), than in patients without any of those features (31.6%).
 
Conclusion: As we found, in the most of RBDDP group, RBD preceded the diagnosis of PD. Although it was not possible to obtain a correlation, as with clinical RBD, the percentage of RSWA should be considered a potential biomarker of phenocon-version in neurodegenerative disease. Early diagnosis of REM sleep anomalies, in a phase of subtil motor symptoms is essential and should be used as a biomarker to an earlier investigation, as DATscan, and therapeutic action.
Mucopolysaccharidosis Type I, Hematopoietic Cell Transplantation and Neurodevelopmental Profile: A Case Report
Authors: Inácio Rafael , Bandeira de Lima Cláudia , Baptista Manuela
Published: August 2022

Type I mucopolysaccharidosis is caused by an alpha-L-iduronidase deficit and has three phenotypic expressions. Hurler syndrome includes dysmorphias, hirsutism, hepatosplenomegaly, hydrocephalus, skeletal deformities, recurrent infections, heart abnormalities, and global developmental delay. Hematopoietic cell transplantation provides a continuous source of alpha-L-iduronidase throughout the body, including the central nervous system and, currently, appears to be the gold-standard therapy for this pathology. We present the case of a six-years-old child with the diagnosis of Hurler syndrome, submitted to hematopoietic cell transplantation and integrated in a structured support plan with special education, speech therapy and early home intervention, who presents a trend of convergence with the normality in all the development areas, except for locomotor skills and eye-hand coordination. These findings highlight the positive impact of the hematopoietic cell transplantation together with the early and structured intervention of a multidisciplinary team in the neurodevelopmental profile of children affected by Hurler syndrome.
Addressing to Challenges about Technique, Strategy and Equity
in Arithmetic Learning
Authors: Chandrashekar A C
Published: August 2022

Evaluation in academic organizations can be tailored to learners, preservice professionals, or
educators, as individuals or as representations of a class, and for a variety of objectives. One
of the primary goals of evaluation in math learning is to produce facts that may be utilized to
form a decision on or enhance arithmetic education. This generates problems about which
components of arithmetic proficiency must be tested, as much as when and why. Issues linked
to the evaluation method and the establishment of examinations that can properly measure
arithmetic ability in all of its intricacy, challenges associated to academic strategy and planning
dependent on evaluation information, in addition the inverse linkage with evaluation and
planning, and concerns linked to equity, like gender problems or the performance disparity of
majority and minority students are all covered in this review article. The report demonstrates
an understanding of the relationship among evaluation, educating, and understanding. There
are significant connections among the three main categories, which have an influence on
evaluation validity and necessitate the continuing evolution of evaluation procedures in
quantitative education.
MANAJEMEN REWARD DAN PUNISHMENT DALAM PENDIDIKAN ISLAM UNTUK MENINGKATKAN KEDISIPLINAN ANAK STUDI LITERATUR HADIST SHAHIH
Authors: Siregar Balo , Siregar Syahruddin
Published: August 2022

Penelitian ini  mengkaji tentang hadist Nabi Muhammad saw. yang berkaitan dengan reward dan punishment sebagai dasar-dasar pendidikan dalam hadist. Metode yang digunakan adalah metode deskriptif kualitatif dengan menganalisis hadist-hadist yang berkaitan dengan reward dan punishment. Hadist-hadist nabi menjadi data primer dan buku yang berkaitan dengan judul menjadi data skunder.Hasil yang didapat adalah Rasulullah saw. sering memberikan hadiah dan menjanjikan ujrah bagi sahabat yang melaksanakan ajaran agama dengan baik dan benar. Sebaliknya beliau juga sering menyampaikan hukuman bagi sahabat yang melanggar syariat Nabi Allah swt. Namun hukuman yang diberikan kepada anak-anak tidak boleh sampai menyakiti.
THE ROLE OF MOTIVATION IN REACHING THE GOALS OF STUDENTS PREPARING FOR UNIVERSITY EXAMS
Authors: GÜLSAR Zafer
Published: August 2022

Students preparing for the university entrance exam in Turkey have difficulties in getting into the programs they want to study. It is thought that this situation is caused by the insufficient academic skills of the students during their education as well as the lack of motivation. The aim of this study is to determine the level of success of students as a result of motivation studies by obtaining quantitative data. The study was carried out in a university preparation center serving in Ankara in January 2021. Quantitative research formed the method of this study. The effect of motivation on students who go to university preparation centers was investigated by applying a 40-question survey to randomly selected students. SPSS 22.0 statistical analysis program was used in the evaluation of the collected data. 17 of the questions asked in the questionnaire were considered suitable for evaluation and were examined by dividing them into 5 dimensions. Within the scope of the research, it was observed that the students who went to university preparation centers achieved their goals by providing their motivation as a result of institutional activities. It has been understood that it is important for the students who lack motivation and insufficient academic skills to be motivated and directed within a plan immediately. Increasing the motivation of the students by analyzing the parameters they were in was effective in reaching their goals. As a result, it has been determined that the students who go to university preparation centers have high levels of study motivation, motivation to reach the goal and general motivation. The validity of the idea presented; It has been shown that students who are preparing for the university exam will be motivated and can achieve the professions they want to do in the future as a result of their planned studies.
Treatment of Periprosthetic Knee Fractures with Plate and Screws and With Retrograde Intramedullary Nail: Indications, Limits and Medium-Term Follow-Up
Authors: Gurrieri Luca
Published: August 2022

Periprosthetic knee fracture occur most frequently around the distal femur and are frequently complicated due to poor bone quality and comorbidities. Surgical treatment is typically necessary and requires varied techniques of open fixation, intramedullary fixation, or revision arthroplasty, due to fracture classification. The aim of the study is to report the results obtained in the treatment of periprosthetic knee fractures, comparing the results of two surgical techniques, retrograde intramedullary nail and ORIF with plate and screws.

At our institute, a sample of 23 patients with periprosthetic knee fracture were surgically treated.

In detail, our patient cohort consisted of 13 women (56.52%) and 10 men (43.48%) with a mean age of 71.91 years (SD ± 12.05) whose mean follow-up was 19.14 months (SD ± 9.90). In terms of treatment, 7 of 23 patients (30.43%) were treated with retrograde Intramedullary Nail (IMN), 2 patients (8.70%) underwent to revision of the prosthesis and 14 patients (60.87%) were treated with plate and screws (ORIF). The clinical evaluation was performed using two different clinical scores as reference, the Lysholm score and the Sanders score.

The goal of treatment of periprosthetic knee fractures should be an early mobilization of the patient, in order to reduce the risk of prolonged immobilization, limiting surgical risks.

Intramedullary nailing reduces blood loss and provides for shorter surgical times. However, it does not allow an anatomical reduction of the fracture and it is not always possible to achieve, due to the conformation of the prosthetic box. The mean results obtained from the evaluation by Lysholm Score was 58.75 ± 10.46 in group treated with IMN and 63.60 ± 6,82 in the group treated with ORIF. Sanders Functional Evaluation Score was 63.60 ± 6,82 in group treated with IMN and 28.26 ± 6.01 in the groups treated with ORIF. The results obtained are similar to the literature. Student’s t-test showed no statistical significance (p-value >0.05). Fractures healed on average at 4 months. We observed a case of mobilization of the nail. Intramedullary nailing reduces blood loss and provides for shorter surgical times. However, it does not allow an anatomical reduction and it is not always possible to achieve, due to the conformation of the prosthetic box.

The ORIF with plate and screws allows an anatomical reduction of the fracture, but involves in greater risks. It appears, therefore, more suitable in relatively young subjects. The reduction and synthesis with MIPO technique appears a good compromise. However, it is not very effective in comminuted and multi-fragmentary fractures.
Penerapan Metode Field Trip untuk Meningkatkan Kemampuan Menulis Puisi pada Siswa Kelas IX H SMP Negeri 6 Watampone
Authors: Bansuhari Bansuhari
Published: August 2022

Tujuan penelitian ini adalah untuk meningkatkan: (1) kualitas proses pembelajaran menulis puisi siswa kelas IX H SMP Negeri 6 Watampone melalui penerapan metode field trip; dan (2) kualitas hasil pembelajaran menulis puisi siswa kelas IX H SMP Negeri 6 Watampone melalui penerapan metode field trip.

Penelitian ini berbentuk penelitian tindakan kelas. Objek penelitiannya adalah pembelajaran menulis puisi, sedangkan subjek penelitiannya adalah siswa kelas IX H SMP Negeri 6 Watampone sejumlah 24 siswa. Sumber data yang digunakan adalah dokumen, informan, dan tempat peristiwa. Teknik pengumpulan data yang digunakan adalah observasi, wawancara, dan angket. Penelitian ini dilaksanakan dalam dua siklus.

Berdasarkan hasil penelitian dapat disimpulkan bahwa: (1) penerapan metode field trip dapat meningkatkan kualitas proses pembelajaran menulis puisi siswa kelas IX H SMP Negeri 6 Watampone. Ini ditunjukkan dari persentase keaktifan dan kesungguhan siswa dalam menulis puisi yang mengalami peningkatan pada setiap siklusnya. Pada siklus I siswa yang aktif dan bersungguh-sungguh sebesar 62,96% meningkat menjadi 88,46% pada siklus II; dan (2) penerapan metode field trip dapat meningkatkan kualitas hasil pembelajaran menulis puisi siswa kelas IX H SMP Negeri 6 Watampone. Hal ini ditandai dengan meningkatnya persentase siswa yang telahmencapai nilai ketuntasan (≥63), yakni pada siklus I 37,5% nilai naik di siklus II menjadi 87,5%.
Penggunaan Bahasa Indonesia Anak SD yang Berdialek Jawa di Desa Bonto Tallasa dan Pengaruhnya Pada Ranah Afektif
Authors: Mastiah Mastiah
Published: August 2022

Jenis penelitian adalah penelitian deskriptif kualitatif yang bertujuan untuk memaparkan bentuk-bentuk penggunaan bahasa Indonesia anak SD yang berdialek Jawa di Desa Bonto Tallasa. Serta bagaimana penggunaan dialek tersebut berpengaruh pada ranah afektif. Populasi dalam penelitian adalah semua anak SD di Desa Bonto Tallasa dan pengambilan sampel penelitian menngunakan purposive sampling dengan kriteria tertentu. 

Setelah peneliti bertemu dengan responden yang sesuai kriteria, peneliti akan mencatat data diri responden. Selanjutnya akan dilihat penggunaan dialek Jawa responden menggunakan kosakata Swadesh sebagai instrumen yang berwujud kosakata. Setelah mendapatkan data kosakata responden kemudian dilakukan analisis hasil wawancara semi terstruktur. Hasil analisis wawancara semi terstruktur kemudian akan di deskripsikan dibagian pembahasan. Hasil analisis data menunjukan bentuk penggunaan bahasa Indonesia anak SD yang berdialek Jawa di Desa Bonto Tallasa adalah berupa perubahan fonetis dari fon vokal menjadi fon vokal yang lain, perubahan dari fon konsonan menjadi fon konsonan yang lain, penambahan fon vokal dan penambahan fon konsonan, dan penyederhanaan pengucapan kosakata.  Pennggunaan dialek Jawa juga berpengaruh pada aspek ranah afektif seperti pada minat, sikap, apresiasi, nilai, emosi, dan prasangka  responden pada bahasa Indonesia maupun bahasa Jawa
Campur Kode dalam Youtube Suhay Salim dan Kaitannya dengan Bahan Ajar Teks Iklan
Authors: Rizkita Ginis Illen Novif , Wirawati Denik
Published: August 2022

Bahasa merupakann satuan terpenting dalam sebuah komunikasi. Penggunaan campur kode dalam kehidupan sehari-hari sudah biasa dilakukan oleh masyarakat karena adanya kemampuan dwibahasa. Penelitian ini bertujuan untuk meneliti bentuk, makna dan kaitan campur kode dalam pembelajaran teks iklan. Penelitian ini merupakan jenis penelitian deskriptif kualitatif. Subjek dalam penelitian ini adalah youtube Suhay Salim. Objek penelitian ini adalah campur kode yang terjadi di dalam video Suhay Salim. Pengumpulan data dilakukan dengan metode simak kemudian catat. Analisis data penelitian ini menggunakan metode padan referensial. Hasil dari penelitian ini adalah (1) Bentuk campur kode berupa kata, frasa, kalimat, baster (2) Makna campur kode dalam video youtube Suhay Salim.
Efektivitas Pembelajaran Berbasis E-Learning dalam Peningkatan Keaktifan Belajar Siswa SMAN 8 Maros
Authors: Haliyana Haliyana
Published: August 2022

Penelitian ini termasuk kedalam jenis penelitian kualitatif yang bertujuan untuk mengetahui seberapa efektif proses pembelajaran berbasis e-learning dalam peningkatan keaktifan belajar siswa SMAN 8 Maros. Teknik yang digunakan dalam pengumpulan data yakni angket sebagai untuk memperoleh data primer dan wawancara serta dokumentasi untuk mendapatkan data penunjang. Hasil penelitian menunjukkan penerapan pembelajaran berbasis e-learning di SMAN 8 Maros berdasarkan indikator keaktifan belajar siswa yaitu kurang efektif. Hal ini ditunjukkan dari beberapa aspek yaitu perhatian siswa yang tidak mengalami peningkatan, kurangnya aktivitas pembelajaran yang meningkatkan kerja sama antar siswa maupun kelompok dalam proses pembelajaran berbasis e- learning, aspek kedisiplinan yang mengalami penurunan, sedangkan pada aspek mengemukakan gagasan pada siswa yang cenderung pemalu saat pembelajaran langsung, serta aspek metode dan pemanfaatan fasilitas pembelajaran kurang efektif karena hanya mengandalkan fasilitas media sosial seperti Whastapp.
Penggunaan Hiperbola dalam Novel Ayat-Ayat Cinta Karya Habiburrahman El Shirazy
Authors: Kasmawati Kasmawati
Published: August 2022

Tujuan penelitian ini adalah mendeskripsikan: bentuk  hiperbola; jenis gaya bahasa  hiperbola; dan efek penggunaan hiperbola yang terdapat dalam novel “Ayat-Ayat Cinta” Karya Habiburrahman El Shirazy terhadap pembaca. Metode yang digunakan dalam pengumpulan data adalah metode simak  dengan teknik wawancara dan teknik catat yaitu teknik pengumpulan data yang dilakukan dengan cara wawancara dan mencatat secara teliti objek yang diamati. Berdasarkan analisis data yang telah dilakukan, didapatkan penggunaan gaya bahasa hiperbola dalam novel “ Ayat-Ayat Cinta” Karya Habiburrahman El- Shirazy yang berbentuk kata dan frasa. Jenis hiperbola yang digunakan dalam novel tersebut adalah gaya bahasa hiperbola kuantitatif dan gaya bahasa hiperbola kualitatif. Adapun efek dari penggunaan gaya bahasa tersebut bagi pembaca adalah memberikan efek estetik; memberi efek yang kuat bagi pembaca; membuat pembaca ikut terlibat dalam cerita yang disajikan; memunculkan rasa ingin tahu yang dalam bagi pembaca; membuat pembaca tertarik dengan novel tersebut.
Komposisi Linguistik dalam Kisah Malleleang Raunna La Oro Kelling pada Epos La Galigo
Authors: Saleh Nur Kamila , Saleh Firman , Yusuf Rudy , Agussalim Andi , Ibrahim Ibrahim
Published: August 2022

Penelitian ini bertujuan untuk Menganalisis corak komposisi Data dan cerita dalam setiap penyampaian cerita Malleleang Raunna La Oro Kelling di tengah khalayak Masyarakat Bugis di Kabupaten Wajo. Penelitian ini menggunakan metode deskriptif kualitatif. Metode pengumpulan data yang digunakan dalam penelitian ini adalah Studi Pustaka, Wawancara, dan Pengamatan. Dalam pengelolaan data, penulis menggunakan pendekatan kualitatif. Pendekatan ini menggambarkan langsung masalah penelitian tentang komposisi dalam konteks Spesifik Penyampaian La Galigo. Berdasarkan hasil penelitian dan pembahasan yang telah dilakukan, maka dapat disimpulkan bahwa terdapat dua bentuk komposisi bahasa dalam naskah La Galigo Episode Malleleang Raunna La Worokelling, yakni bentuk majemuk yang unsur pertamanya menjadi pusat atau diterangkan oleh unsur penjelas atau menerangkan dan bentuk majemuk yang unsur-unsurnya tidak saling menerangkan, tetapi hanya berupa rangkaian yang sejajar atau kopulatif. Makna komposisi bahasa dalam naskah tidak bergantung dengan makna unsur yang membentuknya. Hal itu dikarenakan komposisi itu membentuk makna baru yang tidak sama dengan makna aslinya. Bentuk yang timbul dari proses komposisi bahasa Bugis dalam naskah La Galigo Episode Malleleang Raunna La Worokelling di Kabupaten Wajo ada lima, yaitu komposisi membentuk benda, komposisi membentuk kerja, komposisi membentuk sifat, komposisi membentuk keterangan, dan komposisi membentuk persona.
Energy Substitution Effect in Major Energy Consumption Sectors of Pakistan: Translog Cost Function
Authors: Nazir Sidra , Mahmood Nasir , Hameed Gulnaz
Published: August 2022

There is inadequate works available in the case of Pakistan that have tested the rebound effect due to energy use and its impacts on the environment, so in this study, comparative analysis of energy substitution effect on Pakistan’ three major energy consumption sectors industrial, transport and electricity sector has done, by using the translog cost function in time series data framework. And finally, the main aim is to give the Policy suggestion for different implications like energy and output, to the government of Pakistan doing the aggregate. From the analysis, it has been concluded that there are diseconomies of scale in each sector of the economy of Pakistan, as the elasticity of cost concerning output is greater than one. All energy and non-energy inputs are substitutes for each other but labor is needed more than any other input sectoral wise as it is cheaper and easily available in Pakistan. From the results, in the industrial sector capital intensive production has preferred to increase the use of energy. The rebound effect in Pakistan is negative, which means there is super conservation or have less use of energy. This could be due to the high price of energy inputs and underdevelopment, disinvestment so less profit and income generation, and technological progress leads to less use of resources.
The Effect of Participation in Budgeting, Utilization of Information Technology, and Budget Revision on the Effectiveness of Surabaya Government OPD Budget Management
Authors: Fitriandini Dinda , Widajantie Tituk Diah
Published: August 2022

This study aims to examine (1) the effect of budgetary participation on budget effectiveness, (2) the effect of the use of information technology on the effectiveness of budget management, (3) the effect of budget revisions on the effectiveness of budget management. The endogenous variable used is the effectiveness of budget management. This study used a sample of Surabaya City Regional Apparatus Organizations, namely 21 Surabaya City Offices. The method used to collect data was purposive sampling method, by distributing questionnaires. Data analysis techniques used Partial Least Square (PLS) with SmartPLS 3.0 software. The results of this study indicate that (1) budget participation has an effect on the effectiveness of budget management, (2) the use of information technology has no effect on the effectiveness of budget management, (3) budget revision has an effect on the effectiveness of budget management.