bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALYZING THE FACTORS THAT INFLUENCE ACHIEVEMENT OF EXCLUSIVE BREASTFEEDING AMONGST INFANT AGE 7-12 MONTHS IN THE COMMUNITY HEALTH CENTER CIPONDOH KOTA TANGERANG 2019
Authors: Hakim Amelia Nurul , Hakim Amelia Nurul
Published: January 2022

ABSTRACT Background: Exclusive breastfeeding is a concrete effort to obtain a good growth and development for a baby, because breast milk contains all the essential nutrients needed for baby's growth and contains antibodies (colostrum) for the baby's immune system. Based on data sourced from the Directorate General, data obtained for coverage of breastfeeding  in 2015 in Indonesia amounted to 55.7%. Data from the health profile of Kota Tangerang in 2015 amounted to 67.36%, still not reaching the target of 80%. Research Purposes: Analyzing factors that related to the success of exclusive breastfeeding in an infants aged 7 - 12 months in Cipondoh Health Center, Tangerang City. Research Methods: This research uses descriptive quantitative method with cross sectional approach.  Hypothesis testing used chi-square, odds ratio (OR) and multivariate logistic regression analysis. Subjects of all breastfeeding mothers with infants aged 7-12 months who met the inclusion and exclusion criteria, the sample size was 90 respondents with an accidental sampling technique. Result:  Analysis of factors that have a statistically significant relationship with the success of exclusive breastfeeding is mother’s knowledge (p =0.016; OR=17,172; 95%CI; 1,704-173,000). Meanwhile, the relationship between factors of initiation of early breastfeeding, age, education, employment, parity, husband's support, health personnel support and the attitude of mothers with the success of exclusive breastfeeding is not statistically significant. Conclusions and Suggestions: Promotive efforts need to be done on mothers before pregnancy and families about the importance of breast milk. The targets of counseling are health workers, health cadres and the community.
BENEFITS OF STEEPING BLACK TEA AS A NEGATIVE CONTRAST MEDIUM ON CT UROGRAPHY EXAMINATION
Authors: Yudha Sagita
Published: January 2022

The use of water as a contrast medium requires large amounts of water to fill the lumen of the Urinary Tractus and more water is reabsorbed by the body than is secreted into urine. Steeping Black tea contains Caffeine which is able to increase blood flow in the kidneys thus inhibiting the process of absorption of Na, Ca and Mg causing stimulation of the kidneys to increase the amount of urine production. The purpose of this study is to prove that drinking black tea can increase urine production as a negative contrast medium to see differences in the distension and density of the Urinary Tract on CT Urography examination. This type of research uses True Experimental with Pretest-Posttest Control Group Design research design. Patients selected by Simple Random Sampling. Analysis: Paired t test and Independent t test. The results of the study of the use of 600 ml steeping Black Tea as a negative contrast medium on CT Urography examination did not show the difference in mean difference between the left renal Pelvis p value 0.956, Left UVJ 0.640, Right UVJ 0.935 while on the right renal Pelvis p value 0.001 showed differences in mean difference between the left renal Pelvis p value 0.956, Left UVJ 0.640, Right UVJ 0.935 while on the right renal Pelvis p value 0.001 intervention and control group. Hasil pengukuran p value  densitas Vesika urinaria sebesar 0,678. Conclusion: Black tea can be used as a negative contrast medium on CT Urographic examination but when compared with mineral water it does not show a significant difference.
Clinical powers of Aminoacyl tRNA Synthetase Complex Interacting Multifunctional Protein 1 (AIMP1) for head-neck squamous cell carcinoma
Authors: Li Yixue , Liu Hengrui
Published: January 2022

BACKGROUND: Head and neck squamous cell carcinoma (HNSC) is one of the most common cancer types in the world. The study in molecular markers for HNSC prognosis is of great significance. We hypothesized that Aminoacyl tRNA Synthetase Complex Interacting Multifunctional Protein 1 (AIMP1), a gene that encodes a cytokine, is a critical biomarker for HNSC. METHODS: We acquired clinical data, mRNA expression data, protein staining data, and single-cell expression data of HNSC from open databases and evaluated the clinical prognostic value of AIMP1, and explored the potential roles of AIMP1 in HNSC biology and tumor immune microenvironment. RESULTS: AIMP1 was overexpressed in HNSC compared to normal tissues. Higher AIMP1 expression was associated with a worse survival rate. A survival nomogram was constructed for HNSC patients. One thousand two hundred and eighty-one genes were identified as positively associated with AIMP1 and enriched in proliferation-related terminologies, while 303 genes were identified as negatively associated with AIMP1 and enriched in terminologies related to skin development and immune cell regulation. AIMP1 was positively correlated with stemness, cell cycle, and DNA repair, and negatively correlated with angiogenesis, quiescence, metastasis, hypoxia, inflammation, EMT, DNA damage, and invasion in single cells. AIMP1 was expressed higher in malignant cells than immune cells and there was no difference in AIMP1 expression among immune cell types. AIMP1 high group had a lower immune score, stroma score, and microenvironment score. CONCLUSION: AIMP1 is a potential diagnostic and prognostic biomarker for HNSC patients and can potentially affect the proliferation and tumor immune microenvironment of HNSC cells. This study provided a novel molecular marker for the improvement of clinical HNSC treatment.
Temporal link prediction in directed networks based on self-attention mechanism
Authors: Li Jinsong , Peng Jianhua , Liu Shuxin , Weng Lintianran , Li Cong
Published: January 2022

The development of graph neural networks (GCN) makes it possible to learn structural features from evolving complex networks. Even though a wide range of realistic networks are directed ones, few existing works investigated the properties of directed and temporal networks. In this paper, we address the problem of temporal link prediction in directed networks and propose a deep learning model based on GCN and self-attention mechanism, namely TSAM. The proposed model adopts an autoencoder architecture, which utilizes graph attentional layers to capture the structural feature of neighborhood nodes, as well as a set of graph convolutional layers to capture motif features. A graph recurrent unit layer with self-attention is utilized to learn temporal variations in the snapshot sequence. We run comparative experiments on four realistic networks to validate the effectiveness of TSAM. Experimental results show that TSAM outperforms most benchmarks under two evaluation metrics.
ComIM: A community-based algorithm for influence maximization under the weighted cascade model on social networks
Authors: Qiu Liqing , Yang Zhongqi , Zhu Shiwei , Tian Xiangbo , Liu Shuqi
Published: January 2022

Influence maximization (IM) is a problem of selecting k nodes from social networks to make the expected number of the active node maximum. Recently, with the popularity of Internet technology, more and more researchers have paid attention to this problem. However, the existing influence maximization algorithms with high accuracy are usually difficult to be applied to the large-scale social network. To solve this problem the paper proposes a new algorithm, called community-based influence maximization (ComIM). Its core idea is “divide and conquer”. In detail, this algorithm first utilizes the Louvain algorithm to divide the large-scale networks into some small-scale networks. Afterwards, the algorithm utilizes the one-hop diffusion value (ODV) and two-hop diffusion value (TDV) functions to calculate the influence of a node and select nodes on these small-scale networks, which can improve the accuracy of our proposed algorithm. By using the above methods, the paper proposes a community influence-estimating method called CDV, which can improve the efficiency of the algorithm. Experimental results on six real-world datasets demonstrate that our proposed algorithm outperforms all comparison algorithms when comprehensively considering the accuracy and efficiency.
Particle swarm optimization pattern recognition neural network for transmission lines faults classification
Authors: Zhang Liang , Zhao Zhengang , Zhang Dacheng , Luo Chuan , Li Chuan
Published: January 2022

The operating conditions of the transmission lines can be assessed through the information measured by the smart meters in the power supply bureau. Accurate classification of transmission line faults can be helpful to improve the maintenance strategy of smart grids. This paper analyzes the mechanism of the voltage loss and the phase fault of the transmission line by using the operation data collected by the smart meters from three power supply bureaus (named Bureau A, B and C), where the faults are labeled by expert systems. In this work, a novel Particle Swarm Optimization Pattern Recognition Neural Network (PSO-PRNN) classifier is built to accurately categorize the faults and its classification performance is compared with the ones of traditional K-Nearest Neighbor (KNN), Decision Tree (DT), PSO-KNN and PSO-DT classifiers. The results show that the classification accuracy of PSO-PRNN outperforms traditional classifiers when being applied to the data collected from all three bureaus. In the A power supply bureau are 83.0%, 88.7%, 82.0%, 86.9% and 96.1%, and the classification accuracy rates are 55.7%, 68.7%, 56.6%, 68.7% and 82.5%, when used to process the data of the bureau B. The classification accuracy is 57.1%, 66.4%, 57.2%, 69.0% and 82.1%, when processing the data of bureau C. The results show that the PSO-PRNN classifier is superior to the others in terms of accuracy and applicability.
Variations in upper limb and trunk muscles activation during isometric exercises with or without exertion of control
Authors: Murofushi Koji , Yamaguchi Daisuke , Hirohata Kenji , Furuya Hidetaka , Mitomo Sho
Published: January 2022

BACKGROUND: Muscle activation during isometric contraction can be changed using an external-focus instruction method. OBJECTIVE: To explore and compare the activity of eight upper limb and trunk muscles during isometric chest squeeze exercises, performed in the same posture with and without the exertion of control to avoid crushing an object. METHODS: Muscle activation by an isometric chest squeeze with 45∘ shoulder abduction and forearm pronation was examined. Isometric chest squeeze exercises were performed while holding objects with maximum pressure, and with exerted control to avoid crushing the object Muscle activation was measured by surface electromyography. RESULTS: During the exercises performed while exerting control to avoid crushing the object the lower trapezius (p< 0.001) and latissimus dorsi (p= 0.03) showed significantly higher activity. During the exercises performed without control, the upper trapezius, serratus anterior, and pectoralis major showed significantly higher activity (p= 0.016, p< 0.001, p< 0.001, respectively). CONCLUSIONS: This novel isometric exercise can increase the scapular muscles in the intermediate range of the glenohumeral joint. Therefore, it may assist in improving sport performance, in preventing injuries and in rehabilitation following musculoskeletal injuries.
Alzheimer’s Disease Variant Portal: A Catalog of Genetic Findings for Alzheimer’s Disease
Authors: Kuksa Pavel P. , Liu Chia-Lun , Fu Wei , Qu Liming , Zhao Yi , Katanic Zivadin , Clark Kaylyn , Kuzma Amanda B. , Ho Pei-Chuan , Tzeng Kai-Teh , Valladares Otto , Chou Shin-Yi , Naj Adam C. , Schellenberg Gerard D. , Wang Li-San , Leung Yuk Yee
Published: January 2022

Background: Recent Alzheimer’s disease (AD) genetics findings from genome-wide association studies (GWAS) span progressively larger and more diverse populations and outcomes. Currently, there is no up-to-date resource providing harmonized and searchable information on all AD genetic associations found by GWAS, nor linking the reported genetic variants and genes with functional and genomic annotations. Objective: Create an integrated/harmonized, and literature-derived collection of population-specific AD genetic associations. Methods: We developed the Alzheimer’s Disease Variant Portal (ADVP), an extensive collection of associations curated from >200 GWAS publications from Alzheimer’s Disease Genetics Consortium and other consortia. Genetic associations were systematically extracted, harmonized, and annotated from both the genome-wide significant and suggestive loci reported in these publications. To ensure consistent representation of AD genetic findings, all the extracted genetic association information was harmonized across specifically designed publication, variant, and association categories. Results: ADVP V1.0 (February 2021) catalogs 6,990 associations related to disease-risk, expression quantitative traits, endophenotypes, or neuropathology. This extensive harmonization effort led to a catalog containing >900 loci, >1,800 variants, >80 cohorts, and 8 populations. Besides, ADVP provides investigators with a seamless integration of genomic and publicly available functional annotations across multiple databases per harmonized variant and gene records, thus facilitating further understanding and analyses of these genetics findings. Conclusion: ADVP is a valuable resource for investigators to quickly and systematically explore high-confidence AD genetic findings and provides insights into population-specific AD genetic architecture. ADVP is continually maintained and enhanced by NIAGADS and is freely accessible at https://advp.niagads.org.
Knowledge, Attitudes, and Perceptions Toward Dementia Among Middle-Aged Singapore Residents
Authors: Siddiqui Fatima , Nistala Kameswara Rishi Yeshayahu , Quek Chrystie Wan Ning , Leong Victoria Shi Ying , Tan Amarinda Ying Shan , Tan Christopher Yu En , Hilal Saima
Published: January 2022

Background: Dementia is the decline in cognitive function sufficient to impair one’s accustomed functioning. Countries with aging populations, such as Singapore, face rising rates of dementia. Dementia patients and their caregivers endure great financial and emotional stress. With the broad aim of minimizing these stresses, this study provides a cross-sectional view of the knowledge, attitudes, and perceptions (KAP) towards dementia in middle-aged Singaporean residents. Objective: We aim to examine 1) the associations between demographic correlates and KAP; and 2) the effect of dementia knowledge on attitudes and perceptions towards dementia. Methods: An online anonymous cross-sectional questionnaire was administered to Singaporeans and Permanent Residents aged 45 to 65 years old in English, Mandarin, and Malay. Knowledge was evaluated across three domains: symptoms, risk factors, and management. Total and domain scores were dichotomized as good or poor knowledge using median cut-offs. Attitudes/perceptions across six domains were evaluated on Likert scales, and responses to each question were dichotomized into positive or negative attitudes/perceptions. Results: From 1,733 responses, 1,209 valid complete responses were accepted (mean age±SD 54.8±5.12 years old, females = 69.6%). Lower socioeconomic status was associated with poorer knowledge and greater barriers to risk-mitigating lifestyle modifications. Lack of personal experience with dementia and poor knowledge were also associated with erroneous attitudes/perceptions. Conclusion: Socioeconomic status and personal experience affect KAP towards dementia. Policy and education campaigns to address KAP towards dementia should account for baseline differences across demographics, for greater improvements in dementia incidence and support.
Medial Temporal Atrophy in Posterior Cortical Atrophy and Its Relationship to the Cingulate Island Sign
Authors: Josephs Kennedy A. , Pham Nha Trang Thu , Graff-Radford Jonathan , Machulda Mary M. , Lowe Val J. , Whitwell Jennifer L.
Published: January 2022

Background: It has been hypothesized that medial temporal sparing may be related to preserved posterior cingulate metabolism and the cingulate island sign (CIS) on [18F]fluorodeoxyglucose (FDG) PET in posterior cortical atrophy (PCA). Objective: To assess the severity of medial temporal atrophy in PCA and determine whether the presence of a CIS is related to medial temporal sparing. Methods: Fifty-five PCA patients underwent MRI and FDG-PET. The degree and symmetry of medial temporal atrophy on MRI was visually assessed using a five-point scale for both hemispheres. Visual assessments of FDG-PET coded the presence/absence of a CIS and whether the CIS was symmetric or asymmetric. Hippocampal volumes and a quantitative CIS were also measured. Results: Medial temporal atrophy was most commonly mild or moderate, was symmetric in 55% of patients, and when asymmetric was most commonly worse on the right (76%). Older age and worse memory performance were associated with greater medial temporal atrophy. The CIS was observed in 44% of the PCA patients and was asymmetric in 50% of these. The patients with a CIS showed greater medial temporal asymmetry, but did not show lower medial temporal atrophy scores, compared to those without a CIS. Hippocampal volumes were not associated with quantitative CIS. Conclusion: Mild medial temporal atrophy is a common finding in PCA and is associated with memory impairment. However, medial temporal sparing was not related to the presence of a CIS in PCA.
Repetitive Transcranial Magnetic Stimulation Improves Brain-Derived Neurotrophic Factor and Cholinergic Signaling in the 3xTgAD Mouse Model of Alzheimer’s Disease
Authors: McNerney M. Windy , Heath Alesha , Narayanan Sindhu K. , Yesavage Jerome
Published: January 2022

Background: Alzheimer’s disease (AD) is a debilitating disorder involving the loss of plasticity and cholinergic neurons in the cortex. Pharmaceutical treatments are limited in their efficacy, but brain stimulation is emerging as a treatment for diseases of cognition. More research is needed to determine the biochemical mechanisms and treatment efficacy of this technique. Objective: We aimed to determine if forebrain repetitive transcranial magnetic stimulation can improve cortical BDNF gene expression and cholinergic signaling in the 3xTgAD mouse model of AD. Methods: Both B6 wild type mice and 3xTgAD mice aged 12 months were given daily treatment sessions for 14 days or twice weekly for 6 weeks. Following treatment, brain tissue was extracted for immunological stains for plaque load, as well as biochemical analysis for BDNF gene expression and cholinergic signaling via acetylcholinesterase and choline acetyltransferase ELISA assays. Results: For the 3xTgAD mice, both 14 days and 6 weeks treatment regimens resulted in an increase in BDNF gene expression relative to sham treatment, with a larger increase in the 6-week group. Acetylcholinesterase activity also increased for both treatments in 3xTgAD mice. The B6 mice only had an increase in BDNF gene expression for the 6-week group. Conclusion: Brain stimulation is a possible non-invasive and nonpharmaceutical treatment option for AD as it improves both plasticity markers and cholinergic signaling in an AD mouse model.
Association Between Plasma L-Carnitine and Cognitive Impairment in Patients with Acute Ischemic Stroke
Authors: Che Bizhong , Chen Haichang , Wang Aili , Peng Hao , Bu Xiaoqing , Zhang Jintao , Ju Zhong , Xu Tan , He Jiang , Zhong Chongke , Zhang Yonghong
Published: January 2022

Background: L-carnitine has been shown to exert neuroprotective effects on cerebral ischemia, mainly by improving mitochondrial function and reducing inflammation. L-carnitine supplementation has also been promoted to enhance cognitive function. However, the relationship between L-carnitine and cognitive impairment after ischemic stroke has seldom been studied. Objective: We aimed to evaluate the association between plasma L-carnitine and poststroke cognitive impairment. Methods: The study sample population was drawn from the China Antihypertensive Trial in Acute Ischemic Stroke. Plasma L-carnitine were measured at baseline in 617 patients with ischemic stroke using ultrahigh-performance liquid chromatography-tandem mass spectrometry. Cognitive function was evaluated using the Montreal Cognitive Assessment at 3-month follow-up after ischemic stroke. Results: Plasma L-carnitine were inversely associated with cognitive impairment at 3 months after ischemic stroke, and the adjusted odds ratio (95% CI) for the highest versus lowest quartiles of L-carnitine was 0.60 (0.37, 0.98; p for trend = 0.04). Each 1-SD increase in log-transformed L-carnitine concentration was significantly associated with a 15% (95% CI: 1%, 29%) reduction in the risk of cognitive impairment after stroke. The addition of L-carnitine to the model including conventional risk factors significantly improved the risk reclassification for cognitive impairment (net reclassification improvement: 17.9%, integrated discrimination improvement: 0.8%; both p < 0.05). Furthermore, joint effects of L-carnitine and inflammation markers were observed, and patients with higher L-carnitine and a lower inflammatory status simultaneously had the lowest risk of poststroke cognitive impairment. Conclusion: The present study provided prospective evidence on the inverse association between plasma L-carnitine and cognitive impairment after ischemic stroke.
Enhancing Clinical Visibility of Hearing Loss in Cognitive Decline
Authors: Reed Marilyn , Freedman Morris , Mark Fraser Amy E. , Bromwich Matthew , Santiago Anna Theresa , Gallucci Christina Elizabeth , Frank Andrew
Published: January 2022

Background: Hearing loss is the largest potentially modifiable risk factor for dementia and is highly prevalent among older adults, yet it goes largely unreported, unidentified, and untreated, at great cost to health and quality of life. Hearing screening is a proven cost-effective solution to overcome delays in its identification and management yet is not typically recommended by physicians for older adults. Objective: To demonstrate the feasibility and value of hearing screening for older adults at risk for dementia in order to enhance physicians’ awareness of hearing loss and improve access to timely hearing care. Methods: Patients referred to two academic medical clinics for memory disorders were offered hearing screening as part of clinic protocol. Patients with hearing loss were recruited to the study if they consented to a post-appointment telephone interview and chart review. Memory Clinic physicians were surveyed about the usefulness of the screening information and referral of patients with hearing loss to audiology. Results: Hearing loss was reliably detected in Memory Clinic patients with both in-office and online screening tools. Physicians reported that screening enhanced their awareness of hearing loss and increased the referral rate to audiology. Conclusion: Hearing screening in Memory Clinic patients is a useful component of clinic protocol that facilitates timely access to management and addresses an important risk factor for dementia.
End-to-end driving model based on deep learning and attention mechanism
Authors: Zhu Wuqiang , Lu Yang , Zhang Yongliang , Wei Xing , Wei Zhen
Published: January 2022

End-to-end deep learning has gained considerable interests in autonomous driving vehicles. End-to-end autonomous driving uses the deep convolutional neural network to establish input-to-output mapping. However, existing end-to-end driving models only predict steering angle with front-facing camera data and poorly extract spatial-temporal information. Based on deep learning and attention mechanism, we propose an end-to-end driving model which combines the multi-stream attention module with the multi-stream network. As a multimodal multitask model, the proposed end-to-end driving model not only fully extracts spatial-temporal information from multimodality, but also adopts the multitask learning method with hard parameter sharing to predict the steering angle and speed. Furthermore, the proposed multi-stream attention module predicts the attention weights of streams based on the multimodal feature fusion, which encourages the proposed end-to-end driving model to pay attention to streams that positively impact the prediction result. We demonstrate the efficiency of the proposed driving model on the public Udacity dataset compared to existing models. Experimental results show that the proposed driving model has better performances than other existing methods.
Research on hydraulic motor control system based on fuzzy neural network combing sliding mode control and time delay estimation
Authors: Shi Yucai , Li Weiqing , Lu Pengfei , Chen Fuxu , Qi Xiaochen , Xiong Changxin
Published: January 2022

The precise motion control of a hydraulic motor system has some problems due to uncertain disturbance, complex nonlinear dynamics. Traditional methods are difficult to obtain the desired control performance. In this paper, a new fuzzy neural network (FNN) combined with terminal sling mode control (TSMC) and time delay estimation (TDE) is proposed. FNN is used to adjust the parameter of TSMC to reduce the time for the system to reach the equilibrium point and chatting. To increase the accuracy of the system, TDE is used to compensate the error caused by uncertain disturbance. This controller was simulated in Amesim and Simulink, and the results showed that the control scheme proposed in this paper has the smallest angular displacement error, angular velocity error and variance than other control schemes, such as PID and sliding mode control (SMC). Furthermore, the designed controller was implemented on a drill pipe automatic handling manipulator, and its control performance was verified.
Dynamic programming approach for fuzzy linear programming problems FLPs and its application to optimal resource allocation problems in education system
Authors: Khan Izaz Ullah , Aftab Muhammad
Published: January 2022

This research is about the development of a dynamic programming model for solving fuzzy linear programming problems. Initially, fuzzy dynamic linear programming model FDLP is developed. This research revises the established dynamic programming model for solving linear programming problems in a crisp environment. The mentioned approach is upgraded to address the problem in an uncertain environment. Dynamic programming model can either be passing forward or backward. In the proposed approach backward dynamic programming approach is adopted to address the problem. It is then followed by implementing the proposed method on the education system of Pakistan. The education system of Pakistan comprises of the Primary, Middle, Secondary, and Tertiary education stages. The problem is to maximize the efficiency of the education system while achieving the targets with minimum usage of the constrained resources. Likewise the model tries to maximize the enrollment in the Primary, Middle, Secondary and Tertiary educational categories, subject to the total available resources in a fuzzy uncertain environment. The solution proposes that the enrollment can be increased by an amount 9997130, by increasing the enrollment in the Middle and Tertiary educational categories. Thus the proposed method contributes to increase the objective function value by 30%. Moreover, the proposed solutions violate none of the constraints. In other words, the problem of resources allocation in education system is efficiently managed to increase efficiency while remaining in the available constrained resources. The motivation behind using the dynamic programming methodology is that it always possesses a numerical solution, unlike the other approaches having no solution at certain times. The proposed fuzzy model takes into account uncertainty in the linear programming modeling process and is more robust, flexible and practicable.
Interaction power Heronian mean aggregation operators for multiple attribute decision making with T-spherical fuzzy information
Authors: Wang Haolun , Zhang Faming
Published: January 2022

The interaction operation laws (IOLs) between membership functions can effectively avoid the emergence of counterintuitive situations. The power average (PA) operator can eliminate the negative effect of extremely or improperly assessments on the decision results. The Heronian mean (HM) operator is capable of examining the interrelationship between the two attributes. To synthesize the powers of the IOLs, PA and HM operators in this paper, the PA and HM operators are extended to process T-spherical fuzzy evaluation information perfectly based on the IOLs, and the T-spherical fuzzy interaction power Heronian mean (T-SFIPHM) operator and its weighted form are proposed. We further present some properties of these proposed AOs and discuss several special cases. Moreover, a novel method to T-spherical fuzzy multiple attribute decision making (MADM) problems applying the proposed AO is developed. Lastly, we present a numerical example to validate its feasibility and reasonableness, and the superiority of the developed method is further illustrated by sensitivity analysis of parameters and comparison with existing methods. The results show that proposed AOs not only can capture the interactivity among membership degree (MD), abstinence degree (AD) and non-membership degree (NMD) of T-spherical fuzzy numbers (T-SFNs), bust also ensure the overall balance of variable values in the process of information fusion and realize the interrelationship between attribute variables, so the decision results can be closer to reality and more reliable.
Study on the smart grid vulnerability index based on the moment-generating function and distortion function
Authors: Zhang Feng , Luo Xiaoying , Li Fengling , Li Yun , Li Yanbin , Zhang Pengyu
Published: January 2022

Although smart grids are characterized by self-healing, economy, high efficiency, and security, many hidden dangers exist in the development of smart grids due to a gradually expanding power grid and the continuous access of new energy to the power grid. Therefore, the development of smart grids, especially their reliability, security, and vulnerability, warrants further investigation. In this study, the vulnerability of smart grids is identified, and the vulnerability elements of smart grids are selected. Based on relevant theories, such as credibility and the combination of the credibility-based moment-generating function and the distortion function, a calculation model and framework of the vulnerability index of a smart grid are constructed. An empirical analysis is also conducted. This study provides a scientific basis for analyzing the vulnerability of smart grids and suggesting reasonable preventive measures and auxiliary decision-making information for relevant planning, design, and operation personnel, which contributes to the sustainable and healthy development of smart grids.
An improved firefly algorithm with distance-guided selection strategy and its application
Authors: Li Jie , Song Li , Cao Lianglin
Published: January 2022

In this paper, to reduce the redundant attractions and incorrect directions of firefly algorithm (FA), a distance-guided selection approach (DSFA) is proposed, which consists of a distance-guided mechanism and selection strategy. Where the designed distance-guided mechanism reduces the attractions and plays as a classifier for global search and local search, the suggested selection strategy can avoid local search falling into traps, thereby increasing the probability of correct direction. With the good cooperation of these two approaches, DSFA obtains a good balance of exploration and exploitation. To confirm the performance of the proposed algorithm, excessive experiments are conducted on CEC2013 benchmark functions, large-scale optimization problems CEC2008, and software defect prediction (SDP). In the comparison with the 5 advanced FA variants, DSFA provides the optimal solutions to most CEC2013 problems. Besides, when facing the problems of class imbalance and the dimensional explosion of datasets, DSFA greatly improves the performance of machine learning classifiers employed by SDP. It can be concluded that DSFA is an effective method for global continuous optimization problems.
Network attack classification using LSTM with XGBoost feature selection
Authors: Poornima R. , Elangovan Mohanraj , Nagarajan G.
Published: January 2022

The evolving new and modern technologies raise the risks in the network which will be affected by several attacks and thus give rise to developing efficient network attack detection and classification methods. Here in this article for predicting and classifying the network attacks, the LSTM neural network with XGBoost is suggested in which the NSL-KDD dataset was utilized to train the LSTM in the study. In the beginning, the unnecessary data and the noisy data will be eliminated using the dataset and the feature subset with the most compelling features will be selected using the feature selection. By utilizing the essential data, the proposed system will be trained and the training parameter values will be modified for maximizing the functionality of the proposed system. Then, the result of the proposed system will be evaluated with some of the existing machine learning and deep learning algorithms such as SVM, LR, RF, DNN, and CNN with the performance metrics like Accuracy, F1 score, Recall, and Precision. It was found that the proposed model outperforms better than the other algorithms as this model is trained with the most important features and due to this, the training time and overfitting of the learning model was reduced thereby increasing the model effectiveness
Honesty aware congestion concerned secured edge disjoint multi path routing with fuzzy rule descriptors
Authors: Mohankumar B. , Karuppasamy K.
Published: January 2022

Congestion and security plays a most important key role in the wireless sensor network. In our previous work, energy balances routing is ensured by introducing the Energy Balancing and Optimal Routing Based Secured Data Transmission (EBORDT). But in this research work, congestion and security is not focused. This will lead to increased data loss rate along with entire network collision. These issues are focused and resolved in the proposed research work by introducing the method namely Honest aware Congestion concerned Secured Edge Disjoint Multipath Routing (HC-SEDMR) Scheme. In this work cluster head selection is done using hybridized simulated annealing with fuzzy rule descriptors. Base on these selected cluster head, clustering is done using Normalized optimal clustering algorithm. After clustering Energy and Edge disjoint aware optimal routing is done using Congestion and Collision aware Edge Disjoint multipath routing. Here secured routing is ensured by choosing honest nodes for the forwarding process. This is done by using honest forwarding node selection method. The performance analysis of the research work is done in the NS2 simulation environment from which it is proved that the proposed method attains better performance than the existing methodology.
An ergonomic evaluation of workers in the winding section of the pump manufacturing industry
Authors: Ashok P. , Madhan Mohan G. , Manojkumar S.
Published: January 2022

BACKGROUND: Work-related musculoskeletal disorders (WMSDs) are prevalent and have an impact across occupations. However, there are very few studies that document the prevalence of WMSDs in the pump industry. In manufacturing industries, the common issue for WMSDs and physiological stress among the workers is caused by poor working posture. OBJECTIVE: To investigate the occupational risks at the winding station in the pump manufacturing industry. In addition, this study examined the influence of work-study on mitigating occupational risks. METHODS: Workers who were involved in circular coil winding and insulation testing were considered for the study. Awkward postures adopted while performing these tasks cause fatigue, injuries and WMSDs. Tasks were evaluated as per the National Institute for Occupational Safety and Health (NIOSH) standards. A work-study was conducted to better understand the workflow. Virtual ergonomic postural evaluation (Rapid Upper Limb Assessment, RULA) was used to identify the occupational risks. RESULTS: Time taken for making circular windings and insulation testing (7.5 Hp submersible motor) was found to be 4.04 minutes and 0.95 minutes, respectively. A CAD model was used for ergonomic evaluation in the virtual environment. The RULA final score of 2 and 3 is attributed to coil winding and insulation testing. CONCLUSION: For further studies, the whole pump manufacturing process should be taken into account. The ergonomic tools used in this study will considerably reduce the occupation risks at the winding station in the pump manufacturing industry.
Balance de carga metodológico. Análisis en el primer nivel de Técnico Universitario en Administración, Universidad Autónoma de Chile, sede Temuco
Authors:   , Saavedra Lucero José Luis , Barrientos González Cristian , Rojos Torres Jorge Osvaldo , Oyarzún Gutiérrez Alfredo , Donaire Herrera Luis Edmundo
Published: January 2022

La gestión docente en el marco de las comunidades académicas permite diseñar estrategias pedagógicas globales, integradas y colaborativas entre docentes. En este contexto, el balancear la carga académica de los estudiantes facilitará el logro de los resultados de aprendizaje. El objetivo es determinar un balance de carga académico equilibrado a nivel de cohorte, caracterizado por la diversidad de metodologías de enseñanza aprendizaje aplicadas por los docentes del nivel. A partir de un diagnóstico de los estudiantes de la cohorte 2018, de la carrera de Técnico Universitario en Administración de la Universidad Autónoma de Chile, sede Temuco, se aplicó una herramienta innovadora para la orientación del proceso de enseñanza aprendizaje que permita planificar el balance de carga académica de los estudiantes. El procedimiento permite evaluar las metodologías utilizadas por los docentes y la carga metodológica instalada según la organización docente, con el fin de orientar la utilización de metodologías activo participativas que permitan romper con la monotonía de las actividades en el aula, para aliviar y facilitar la carga de trabajo y evaluaciones de los estudiantes en el tránsito del aprendizaje, orientando los esfuerzos a la generación de las competencias contempladas en el perfil de egreso de la carrera.
Prevención del suicidio consejos para docentes
Authors: Figueroa Saavedra Carla
Published: January 2022

Video para docentes con recomendación a considerar en la prevención del suicidio
MENCIPTAKAN UMKM HANDAL MELALUI TERTIB LAPORAN KEUANGAN
Authors: Putri Wulandari Cahyani , Lindawati Lindawati , Anggraini Anggun , Hanah Siti , Indawati Indawati
Published: January 2022

PKM ini berlokasi di Vicma Kitchen yang merupakan salah satu usaha UMKM yang didirikan oleh seorang ibu rumah tangga, bergerak dibidang pembuatan makanan beku/ frozen food didaerah Tangerang. Setelah melalui pengamatan oleh tim PKM diketahui bahwa ibu Vita selaku penggiat UMKM ini, merasa kesulitan untuk membuatan pencatatan keuangan sederhana. Berdasarkan pengamatan langsung terhadap pelaku usaha skala mikro dan kecil belum sepenuhnya bahkan sama sekali belum memanfaatkan Aplikasi keuangan berbasis teknologi untuk kemudahan usahanya. Tujuan yang dicapai pada program pengabdian masyarakat adalah meningkatkan pemahaman membuat laporan keuangan yang handal untuk menjalankan bisnis ibu Vita, memberikan pemahaman akuntansi dasar dan cara membuat laporan keuangan sederhana mulai dari pengklasifikasian/pemilahan transaksi dengan memisahkan catatan per transaksi sesuai dengan pengeluaran dan pemasukan bagi bisnisnya, meningkatkan pengetahuan dalam memanfaatkan teknologi/Aplikasi pembukuan untuk memudahkan mencatat keuangan vicma kitchen, melalui aplikasi buku kas yang dapat di download gratis pada ponsel android. Solusi yang ditawarkan dalam pengabdian masyarakat ini adalah Melakukan evaluasi terhadap pencatatan transaksi yang selama ini diterapkan. Memberikan sosialisasi pelatihan mengenai penggunaan Aplikasi Akuntansi Usaha Mikro Kecil (UMK) berbasis Android yaitu Buku Kas. Hasil pengabdian ini diharapkan dapat meningkatnya kualitas pembuatan laporan keuangan dan meningkatnya kemampuan pemanfaatan Aplikasi Akuntansi Usaha Mikro Kecil (UMK) berbasis Android yaitu Buku Kas. Kegiatan pengabdian yang dilakukan oleh dosen Prodi S1 Akuntansi Universitas Pamulang pada tanggal 9 April sampai dengan 4 Mei 2021 disambut baik oleh ibu Vita sebagai penggiat UMKM Frozen Food-Vicma Kitchen. Dengan menggunakan metode penyuluhan dan pelatihan secara daring dengan menggunakan aplikasi Zoom Meeting, kegiatan ini sangat efektif dalam bentuk waktu dan penerimaan materi. Dengan penyuluhan dan pelatihan meraka merespon dengan baik terutama peserta merekapun sangat senang terutapa pada saat praktek penggunaan aplikasi Buku Kas. Target luaran pada program ini adalah publikasi berbagi hasil dari kegiatan ini secara nasional agar dapat dimanfaatkan sebagai literatur dalam bidangnya seperti artikel pada media masa cetak/elektronik, dan peningkatan mutu keberadaan mitra. Kegiatan ini diharapkan dapat memberikan inspirasi dan motivasi bagi para dosen/peneliti selanjutnya yang akan melakukan kegiatan yang sama/sejenis dan berkelanjutan, ilmu yang diberikan dapat bermanfaat bagi masyarakat, akademisi dan penulis selanjutnya. Kata kunci: UMKM, Laporan Keuangan, SIA-Buku Kas
PEMANFAATAN BOTOL PLASTIK BEKAS SEBAGAI MEDIA TANAMAN SAYUR HIDROPONIK UNTUK MENINGKATKAN PRODUKTIVITAS DAN MENGHASILKAN NILAI JUAL SERTA MENAMBAH INCOME DI MASYARAKAT
Authors: Ambarita Dinar , Monica Mona , Sembiring Annisa Mayang Arista , Savitri Maulidya Dwi
Published: January 2022

Seiring berjalannya waktu masalah volume sampah yang semakin meningkat perlu ditanganidengan bijak agar pencemaran lingkungan bisa dihindari, terutama sampah anorganik berupabotol plastik. Hal inilah yang mendasari kegiatan Pengabdian Mahasiswa/i Kepada Masyarakat(PmKM) yang dilakukan oleh Mahasiswa/i Universitas Pamulang mengenai Sosialisasipemanfaatan botol plastik bekas sebagai media tanaman sayur hidroponik untuk meningkatkanproduktivitas dan menghasilkan nilai jual serta menambah income masyarakat.Pemanfaatkan botol bekas sebagai media tanaman hidroponik adalah cara yang cukup efektifuntuk membangkitkan minat dan kesadaran masyarakat tentang pentingnya mengelola limbahbotol plastik. Dengan pemanfaatan botol bekas tersebut nantinya selain mengurangi sampahplastik juga dapat menciptakan nilai jual, dimana tanaman yang di budidayakan melaluihidroponik botol bekas tersebut selain dapat di konsumsi sendiri juga dapat di jadikan peluangusaha yang nantinya akan menambah income di masyarakat. Budidaya tanaman sayur di eramoderen ini dapat menjadi salah satu kegiatan untuk mengisi waktu luang dengan hal positif ditengah pandemic Covid-19.Metode kegiatan yang dilakukan pada pelatihan ini menggunakan Ceramah, diskusi dan praktiklangsung tentang cara budidaya hidorponik dengan botol bekas. Dari hasil kegiatan pelatihantersebut menunjukan bahwa masyarakat mitra khususnya ibu-ibu PKK sangat antusias tentangpemanfaatan botol bekas sebagai media tanam sayuran hidroponik karna ini merupakan hal baruyang mereka temui.Kata Kunci : hidroponik, botol plastik bekas, income
MEMBANGUN AFTER SALES YANG BAIK UNTUK MENINGKATKAN KUALITAS PELAYANAN PADA BENGKEL NAWILIS CABANG PARUNG BOGOR
Authors: Agrasadya Agrasadya , Sunarto Sunarto , Kencana Putri Nilam , Apriansyah Muger , Irawati Laila
Published: January 2022

Tujuan dari kegiatan pengabdian kepada masyarakat di Bengkel Nawilis CabangParung Bogor ini untuk memberikan pengetahuan dan wawasan tentang bagaimanamelaksanakan pelatihan terhadap karyawan dan bagaimana meningkatkan pemberian reward danpunishment bagi karyawan serta meningkatkan motivasi karyawan dalam belerja.Metode pelaksanaan pengabdian ini dilakukan dalam beberapa kegiatan yaitu tahapsurvei yaitu sosialisasi dilakukan dengan menyusun berbagai hal yang akan disampaikan padasaat kegiatan pengabdian yang akan dilakukan yang meliputi: penyusunan materi yang akandiberikan, penyusunan jadwal pemberian materi, pembagian tugas tim pengabdian dan survei kelokasi pengabdian. Tahap sosialisasi yaitu sebelum kegiatan pengabdian dilaksanakan terlebihdahulu dilakukan tahap sosialisasi yaitu melakukan silaturahmi dengan kepala sekolah,menyampaikan maksud dan tujuan pengabdian ini. Pada tahap ini juga dilakukan jalinankerjasama dan menentukan jadwal kegiatan pengabdian. Tim pelaksana kegiatan pengabdianpada masyarakat adalah dosen Fakultas Ekonomi dan Bisnis jurusan manajemen sebanyak 5orang. Tim pengabdian memberikan pelatihan dalam bentuk materi dan praktek dalammenghadapi permasalahan yang ada.Hasil pengabdian masyarakat yang diperoleh adalah bertambahnya pengetahuan bagiPara Peserta (karyawan) di Bengkel Nawilis Cabang Parung Bogor agar mereka terlatihmeningkatkan kualitas pelayanannya serta motivasinya semakin meningkat dalam upayamemperbaiki skill mereka. Ilmu yang diperoleh pada Pengabdian Masyarakat kali ini diharapkanmampu memberikan semangat baru bagi kita dalam menyampaikan materi dan motivasi sertaberkontribusi bagi generasi muda, baik dilingkungan dunia usaha, kampus dan keluarga.Kata Kunci: Pelatihan, Pelayanan, After Sales
PENYAMPAIAN ASPEK KRITIK SOSIAL ORANG-ORANG BIASA KARYA ANDREA HIRATA (KAJIAN SOSIOLOGI SASTRA)
Authors: Oktaviana Ansani Intan
Published: January 2022

Tujuan penelitian ini adalah untuk (1) memaparkan kritik sosial pada novel Orang-Orang Biasa karya Andrea Hirata dan (2) memaparkan bentuk penyampaian kritik sosial pada novel Orang-Orang Biasa karya Andrea Hirata. Subjek penelitian adalah novel Orang-orang Biasa karya Andrea Hirata. Metode penelitian yang digunaka, yaitu metode deskriptif kualitatif. Penelitian difokuskan pada penyampaian masalah yang berkaitan dengan pengaruh isu-isu kelas sosial. Permasalahan tersebut kemudian dikaji dengan teori pendekatan sosiologi sastra. Data diperoleh dengan cara teknik pustaka, baca dan catat. Data dianalisis dengan teknik analisis deskriptif kualitatif. Berdasarkan hasil analisis data yang peneliti kumpulkan dan analisa, diperoleh: (1) empat aspek kritik sosial dominan, yaitu (a) kritik sosial ekonomi yang tidak merata dan tidak adil pada masyarakat miskin; (b) kritik sosial pendidikan terhadap warga miskin tidak sesuai harapan yang mana menurunkan tingkat motivasi untuk belajar; (c) kritik sosial kekuasaan meliputi masalah tindak pembulian dan penyalahgunaan kekuasaan untuk kepuasan pribadi; dan (d) kritik sosial moral meliputi tindak terpuji maupun tercela yang berlaku di masyarakat umum; dan (2) bentuk penyampaian kritik sosial secara langsung (eksplisit) yang disampaikan oleh para tokoh melalui tindak aksi maupun dialog dalam novel, mampu dipahami dengan mudah oleh pembaca awam; dan bentuk penyampaian tidak langsung (implisit) yang memerlukan tingkat pemahaman lebih untuk dapat mengungkap maksud utama pengarang. Peneliti menganalisis makna-makna atau amanat tersirat dalam novel, dan kemudian merelevansikan penemuan tersebut dengan kehidupan nyata.Kata Kunci: Kritik Sosial, Aspek Sosial, Sosiologi Sastra, Bentuk Penyampaian Kritik Sosial