bluuebunny/crossref_metadata_2025 huggingface dataset:
Association Between Metformin and Alzheimer’s Disease: A Systematic Review and Meta-Analysis of Clinical Observational Studies
Authors: Luo Anling , Ning Pingping , Lu Haitao , Huang Hongyan , Shen Qiuyan , Zhang Dan , Xu Fang , Yang Li , Xu Yanming
Published: June 2022

Background:

As one of the widely used drugs for the management of type 2 diabetes mellites (T2DM), metformin is increasingly believed to delay cognitive deterioration and therapeutically for Alzheimer’s disease (AD) patients especially those with T2DM. However, studies of the potential neuroprotective effects of metformin in AD patients have reported contradictory results.

Objective:

This study aimed to evaluate the association between metformin and the risk of developing AD.

Methods:

We systematically searched the PubMed, EMBASE, Web of Science, Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov databases to identify clinical observational studies on the relationship between AD risk and metformin use published before December 20, 2021. Two investigators independently screened records, extracted data, and assessed the quality of the studies. Pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were calculated using random-effect models.

Results:

After screening a total of 1,670 records, we included 10 studies involving 229,110 participants. The meta-analysis showed no significant association between AD incidence and metformin exposure (OR 1.17, 95% CI 0.88–1.56, p = 0.291). However, subgroup analysis showed that among Asians, the risk of AD was significantly higher among metformin users than those who did not (OR 1.71, 95% CI 1.24–2.37, p = 0.001).

Conclusion:

The available evidence does not support the idea that metformin reduces risk of AD, and it may, in fact, increase the risk in Asians. Further well-designed randomized controlled trials are required to understand the role played by metformin and other antidiabetic drugs in the prevention of AD and other neurodegenerative diseases.
Phosphatidylethanolamine Binding Protein 1 (PEBP1) in Alzheimer’s Disease: ELISA Development and Clinical Validation
Authors: Wojdała Anna Lidia , Chiasserini Davide , Bellomo Giovanni , Paciotti Silvia , Gaetani Lorenzo , Paoletti Federico Paolini , Parnetti Lucilla
Published: June 2022

Background:

Phosphatidylethanolamine binding protein 1 (PEBP1) is a multifunctional protein, mainly known for its specific binding of phosphatidylethanolamine and the ability to suppress the Raf1-MAPK pathway. Its potential role as an Alzheimer’s disease (AD) biomarker has been proposed in several studies. However, evaluation of its discriminative value in clinical cohorts is missing.

Objective:

We aimed to develop a new immunoassay for the measurement of PEBP1 in cerebrospinal fluid (CSF) and assess the possible role of this protein as AD biomarker.

Methods:

We developed a sandwich enzyme-linked immunosorbent assay (ELISA) for detection of PEBP1 in CSF and performed a technical and a clinical validation on two well-characterized cohorts. The first cohort included 14 mild cognitive impairment due to AD (MCI-AD) and 11 other neurological diseases (OND) patients. The second, larger cohort, included 25 MCI-AD, 29 AD dementia (AD-dem), and 21 OND patients.

Results:

PEBP1 is highly sensitive to pre-analytical conditions, especially to prolonged storage at room temperature or 4°C. Analysis of the first cohort showed a trend of an increase of PEBP1 level in MCI-AD patients versus OND subjects. Analysis of the second cohort did not show significant differences among diagnostic groups. Weak, positive correlation was found between CSF PEBP1 and t-tau, p-tau, and Aβ40 in the AD-dem group.

Conclusion:

A novel ELISA for the detection of PEBP1 in CSF was developed. Further research is needed to assess the potential of PEBP1 in AD diagnostics. The observed dependence of the PEBP1 signal on operating procedures encourages its potential application as CSF quality control.
Implications of Liver Enzymes in the Pathogenesis of Alzheimer’s Disease
Authors: Han Sang-Won , Park Young Ho , Jang Eun Sun , Nho Kwangsik , Kim SangYun
Published: June 2022

To investigate an association of serum liver enzymes with Alzheimer’s disease (AD) diagnosis and cognitive performance, we performed logistic and linear regression analyses in 781 patients with AD and 405 cognitively normal subjects. We found that alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels had significant positive associations with cognitive performance and were significantly decreased in AD patients. The alkaline phosphatase level and AST to ALT ratio were significantly negatively associated with cognitive performance and were significantly increased in AD patients. This suggests that these liver enzymes might be implicated in the pathogenesis of AD.
3-Hydroxyacyl-CoA and Alcohol Dehydrogenase Activities of Mitochondrial Type 10 17β-Hydroxysteroid Dehydrogenase in Neurodegeneration Study
Authors: He Xue-Ying , Dobkin Carl , Brown W.Ted , Yang Song-Yu
Published: June 2022

Background:

Mitochondrial 17β-hydroxysteroid dehydrogenase type 10 (17β-HSD10) is necessary for brain cognitive function, but its studies were confounded by reports of Aβ-peptide binding alcohol dehydrogenase (ABAD), formerly endoplasmic reticulum-associated Aβ-peptide binding protein (ERAB), for two decades so long as ABAD serves as the alternative term of 17β-HSD10.

Objective:

To determine whether those ABAD reports are true or false, even if they were published in prestigious journals.

Methods:

6xHis-tagged 17β-HSD10 was prepared and characterized by well-established experimental procedures.

Results:

The N-terminal 6xHis tag did not significantly interfere with the dehydrogenase activities of 17β-HSD10, but the kinetic constants of its 3-hydroxyacyl-CoA dehydrogenase activity are drastically distinct from those of ABAD, and it was not involved in ketone body metabolism as previously reported for ABAD. Furthermore, it was impossible to measure its generalized alcohol dehydrogenase activities underlying the concept of ABAD because the experimental procedures described in ABAD reports violated basic chemical and/or biochemical principles. More incredibly, both authors and journals had not yet agreed to make any corrigenda of ABAD reports.

Conclusion:

Brain 17β-HSD10 plays a key role in neurosteroid metabolism and further studies in this area may lead to potential treatments of neurodegeneration including AD.
Directed-System-Call-Graph Feature for IoT Botnet Detection
Authors: Dung Ngo Q. , Viet Le H.
Published: June 2022

Nowadays, the number and types of IoT devices are increasing rapidly, which leads to an expansion in the attack surface of this kind of device. Besides, the number of Botnet malware on IoT devices also grows with a lot of new variants. This context leads to an urgent demand for an effective solution in detecting new variants of IoT Botnet malware. There have been many studies focusing on IoT Botnet malware detection using static and dynamic analysis. In particular, the combination of the dynamic method with machine learning has shown outstanding advantages to detect IoT Botnet variants. However, the preprocessing of behavioral data originated from malware is still complicated, and the number of input vector dimensions of the machine learning model is still huge. In addition, these models also consume a lot of resources and have limited detection capabilities. Besides, dynamic analysis studies based on system calls mostly use call frequency characteristics and have not effectively exploited IoT Botnet malware’s life cycle characteristics. In this paper, we propose the Directed System Call Graph (DSCG) feature to sequentially structure the system calls. This DSCG graph will be vectorized and used as an input for building a malware analysis model based on popular machine learning classifiers such as KNN, SVM, Decision Tree, etc. Experiments on the datasets demonstrate that the features extracted from this graph have low complexity but still ensure high accuracy in detecting IoT Botnets, especially with newly emerged IoT Botnet families. The proposed model was evaluated with ACC = 98.01 % , TPR = 97.93 % , FPR = 1.5 % , AUC = 0.9961 on a dataset of 5023 IoT Botnets and 3888 benign samples.
RETRACTED: An improvised follicle polycystic ovarian detection using AKF from a sequence of given ultrasound images
Authors: Srinivas Kachibhotla , Phani Kumar Ch. Raghavendra
Published: June 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
q-Rung orthopair fuzzy soft aggregation operators based on Dombi t-norm and t-conorm with their applications in decision making
Authors: Hussain Azmat , Mahmood Tahir , Ali Muhammad Irfan , Iampan Aiyared
Published: June 2022

Recently, some improvement has been made in the dominant notion of fuzzy set that is Yager investigated the generalized concept of fuzzy set, Intuitionistic fuzzy set (IFS) and Pythagorean fuzzy set (PFS) and called it q-rung orthopair fuzzy (q-ROF) set (q-ROFS). The aim of this manuscript is to present the concept of q-ROF soft (q-ROFSt) set (q-ROFStS) based on the Dombi operations. Since Dombi operational parameter possess natural flexibility with the resilience of variability. Some new operational laws are defined based on hybrid study of soft sets and q-ROFS. The advantage of Dombi operational parameter is very important to express the experts’ attitude in decision making. In this paper, we present q-ROFSt Dombi average (q-ROFSt DA) aggregation operators including q-ROFSt Dombi weighted average (q-ROFSt DWA), q-ROFSt Dombi ordered weighted average (q-ROFSt DOWA) and q-ROFSt Dombi hybrid average (q-ROFSt DHA) operators. Moreover, we investigate q-ROFSt Dombi geometric (q-ROFSt DG) aggregation operators including q-ROFSt Dombi weighted geometric (q-ROFSt DWG), q-ROFSt Dombi ordered weighted geometric (q-ROFSt DOWG), and q-ROFSt Dombi hybrid geometric (q-ROFSt DHG) operators. The basic properties of these operators are presented with detail such us Idempotency, Boundedness, Monotonicity, Shift invariance, and Homogeneity. Thus from the analysis and advantages of proposed model, it is clear that the investigated q-ROFSt DWA operator is the generalized form of IF St DWA, PFSt DWA and q-ROFDWA operators. Similarly, the investigated q-ROFSt DWG operator is the generalized form of IF St DWG, PFSt DWG and q-ROFDWG operators. By applying the develop approach, this manuscript contains the technique and algorithm for multicriteria decision making (MCDM). Further a numerical example is developed to illustrate the flexibility and applicability of the developed operators.
RETRACTED: Intrusion aware data transmission framework in wireless sensor network
Authors: Prabhu T.N. , Karuppasamy K.
Published: June 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Optimized multivariate grey forecasting model for predicting electricity consumption: A China study
Authors: Zhao Zhen-Yu , Ma Xu
Published: June 2022

The power industry has significantly contributed to the prosperity of the national economy, and accurate prediction can reflect the development trend of the power system and power market. The short-term electricity consumption of a country exhibits both annual growth certainty and random change uncertainty, which can be suitably considered with the grey forecasting model. Regarding the short-term trends of electricity consumption in China, this study established an optimized multivariate grey forecasting model with variable background values (OGM(1, N) model) to forecast the electricity consumption level in China. The established model could be converted into the GM(1, N) model and different variant models by adjusting the model parameters. With Beijing, Tianjin and Shanghai as examples, the OGM(1, N) model is compared to the GM(1, N) model and its variant model. The excellent prediction results confirm the feasibility of the proposed model. Then, the proposed model is applied to study China’s electricity consumption. The research results indicated that the OGM(1, N) model attains an extraordinarily high precision in the prediction of electricity consumption and can provide a practical reference for accurate electricity consumption prediction.
RETRACTED: Attention-based multi-modal fusion sarcasm detection
Authors: Liu Jing , Tian Shengwei , Yu Long , Long Jun , zhou Tiejun , Wang Bo
Published: June 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
AmandaSystem: A new framework for static and dynamic Android malware analysis
Authors: Tang Jianfei , Zhao Hui
Published: June 2022

The focus of a large amount of research on malware detection is currently working on proposing and improving neural network structures, but with the constant updates of Android, the proposed detection methods are more like a race against time. Through the analysis of these methods, we found that the basic processes of these detection methods are roughly the same, and these methods rely on professional reverse engineering tools for malware analysis and feature extraction. These tools generally have problems such as high time-space cost consumption, difficulty in achieving concurrent analysis of a large number of Apk, and the output results are not convenient for feature extraction. Is it possible to propose a general malware detection process implementation platform that optimizes each process of existing malware detection methods while being able to efficiently extract various features on malware datasets with a large number of APK? To solve this problem, we propose an automated platform, AmandaSystem, that highly integrates the various processes of deep learning-based malware detection methods. At the same time, the problem of over privilege due to the openness of Android system and thus the problem of excessive privileges has always required the accurate construction of mapping relationships between privileges and API calls, while the current methods based on function call graphs suffer from inefficiency and low accuracy. To solve this problem, we propose a new bottom-up static analysis method based on AmandaSystem to achieve an efficient and complete tool for mapping relationships between Android permissions and API calls, PerApTool. Finally, we conducted tests on three publicly available malware datasets, CICMalAnal2017, CIC-AAGM2017, and CIC-InvesAndMal2019, to evaluate the performance of AmandaSystem in terms of time efficiency of APK parsing, space occupancy, and comprehensiveness of extracted features, respectively, compared with existing methods were compared.
A hybrid deep learning technique based integrated multi-model data fusion for forensic investigation
Authors: Senthil P. , Selvakumar S.
Published: June 2022

Digital evidence is an integral part of any trial. Data is critical facts, encrypted information that requires explanation in order to gain meaning and knowledge. The current process of digital forensic research cannot effectively address the various aspects of a complex infrastructure. Therefore, digital forensics requires the optimal processing of a complex infrastructure that differs from the current process and structure. For a long time, digital forensic research has been utilized to discuss these issues. In this research, we offer a forensic investigation hybrid deep learning approach based on integrated multi-model data fusion (HDL-DFI). First, we concentrate on digital evidence collection and management systems, which can be achieved by an integrated data fusion model with the help of an improved brain storm optimization (IBSO) algorithm. Here, we consider several multimedia data’s for evidence purposes, i.e. text, image, speech, physiological signals, and video. Then, we introduce a recurrent multiplicative neuron with a deep neural network (RM-DNN) for data de-duplication in evidence collection, which avoids repeated and redundant data. After that, we design a multistage dynamic neural network (MDNN) for sentimental analysis to decide what type of crime has transpired and classify the action on it. Finally, the accuracy, precision, recall, F1-score, G-mean, and area under the curve of our proposed HDL-DFI model implemented with the standard benchmark database and its fallouts are compared to current state-of-the-art replicas (AUC). The results of our experiments show that the computation time of the proposed model HDL-DFI is 20% and 25% lower than the previous model’s for uploading familiar and unfamiliar files, 22% and 29% lower for authentication generation, 23% and 31% lower for the index service test scenario, and 24.097% and 32.02% lower for familiarity checking.
Decomposing rural-urban preterm birth variations in Tanzania
Authors: Ndifwa Nelson , Mukyanuzi Elevatus , Lameck Tolo
Published: June 2022

This study aimed at decomposing sources of rural-urban preterm birth variations in Tanzania. It used cross-sectional secondary data from the 2015/16 Tanzania Demographic and Health Survey. The study determined the extent to which rural-urban preterm birth variations are attributed to socio-economic characteristics (endowments) variations. The study employed binary logistic regression and multivariate Oaxaca blinder decomposition method, and findings reveal that, in urban areas, low parity, women anemia, high birth interval, women being employed and women BMI were statistically significant associated with low preterm births. Moreover, findings also show that domestic severe violence was statistically significantly associated with a high prevalence of preterm births. Furthermore, the findings showed that if the distribution in factor endowments including parity, anemia and birth interval were the same in both rural and urban areas preterm birth caused by the mentioned factors would drop in rural by 491.7%, 13.8% and 9% respectively. Therefore the study recommends tailoring the policies that empower women accessibility of resources and opportunities and creates awareness to women’s health issues which directly affect preterm births so as to reduce the problem.
Assistive technologies as an ODeL strategy in promoting support for students with disabilities
Authors: Ditlhale Tumelo W. , Johnson Lineo R.
Published: June 2022

BACKGROUND:

Students studying in the higher education system face multiple challenges, such as meeting the minimum requirements for enrolling in a programme, securing tuition fees and adapting to new teaching and learning styles, whilst also coping with minimal support. The challenges are more profound for students with disabilities (SWDs) who must progress and emerge triumphantly as graduates, despite their unique and special needs.

OBJECTIVE:

By relating the personal experiences of SWDs, this article examines the different types of support they need as they commence their studies in higher education institutions, as well as throughout their journeys.

METHODS:

The study adopted a qualitative multiple case study research design in which the approaches of public and private high schools in handling SWDs were compared with the experiences of SWDs at a higher education open distance e-learning institution.

RESULTS:

The findings revealed that the use and availability of assistive technology devices were more pronounced at the school level than at the ODeL institution. The SWDs expressed their frustrations and reported more struggles with their studies at the ODeL institution than they had experienced at school level.

CONCLUSION:

The SWDs in the study provided some potential improvements that could be implemented by ODeL institutions in addressing their needs and in providing support, whilst also emulating the best practices implemented at high school level.
Developing an analysis tool to identify potentials for mobile, time-flexible work in production: Results from the MofAPro research project
Authors: Peschl Anika , Altun Ufuk , Conrad Ralph W.
Published: June 2022

BACKGROUND: Mobile, time-flexible work provides advantages for companies and employees. However, those opportunities have so far been used primarily in the administrative sector. OBJECTIVE: In a joint practice-oriented project, the possibilities for flexibilization in the production sector are being investigated. Therefore, practical aids of action are to be developed. In this paper the procedure and first results are shown. METHODS: To obtain initial indications of the opportunities and limitations of mobile, time-flexible work in the production sector, interviews were conducted with employees of the company project partners. An analysis tool was developed based on the results of the interviews. The development follows an iterative process of practice testing and discussion rounds with the project partners. RESULTS: The preliminary analyses show that small and medium-sized companies (SME) need a practical tool for identifying flexibilization potentials in the production sector. In addition, it has been shown that there are several factors that determine or promote the possibilities of mobile, time-flexible work in the production sector. Those factors are considered in the analysis tool. The structure, contents and application of the analysis tool are presented in this paper. CONCLUSION: The presented procedure and analysis tool provide valuable implications for practice. It shows practical ways of analyzing flexibilization potentials of companies and individual jobs. This provides a basis for discussions between the employer and employees, works councils, and applicants for the occupation of job positions in the production sector.
Estimation of radiation dose and establishment of local diagnostic reference levels for computed tomography of head in pediatric population
Authors: Priyanka  , Kadavigere Rajagopal , Sukumar Suresh
Published: June 2022

BACKGROUND: Pediatric population is more sensitive to the effects of radiation than adults. Establishing diagnostic reference level (DRL) is an efficient dose optimization technique implemented by many countries for reducing radiation dose during Computed Tomography (CT) examinations. OBJECTIVES: To estimate radiation dose and establish a new local diagnostic reference level for CT head examination in the pediatric population. MATERIALS AND METHODS: We prospectively recruited 143 pediatric patients referred for CT head examination with age ranging from 0–5 years old. All patients had undergone CT head examination using the standard pediatric head protocol. Volumetric CT dose index (CTDIvol) and dose length product (DLP) were recorded. The effective dose was first calculated. Then, 75th percentile of dose indices was calculated to establish DRLs. RESULTS: DRLs in terms of CTDIvol and DLP are 23.84 mGy, 555.99 mGy.cm for patients <1 years old and 28.65 mGy, 794.99 mGy.cm for patients from 1–5 years old, respectively. Mean effective doses for <1 years old patients and 1–5 years old patients are 2.91 mSv and 2.78 mSv respectively. CONCLUSION: The study concludes that DRL in terms of CTDIvol is lower but DRL in terms of DLP and the effective dose is higher compared to a few other studies which necessitate the need for dose optimization.
Genesis and Issues of Using Latest Technologies and Artificial Intelligence in Criminalistics, Forensic Expert Activity and Pre-Trial Investigation
Authors: Ukhno Oleksandr
Published: June 2022

The genesis of development and ways to improve theoretical and applied areas of criminalistics, forensic expertology and criminal procedure for solving forensic, procedural, organizational and other issues of implementation and use of science and technology in pre-trial investigation and trial of criminal offenses in various historical offenses in Ukraine. Special attention is paid to the scientific approach to the selection, implementation, use of computers, telecommunications, digital and other modern technologies and networks, artificial intelligence and advances in science and technology in forensics, expertise and pretrial investigation. The scientific positions of individual scientists and representatives of domestic and foreign scientific schools on these issues were studied and analyzed (inparticular, on the discussion, coverage and legislative consolidation in the legal and procedural mechanisms of selection, implementation and use of these technologies). The author’s vision is expressed and the scientific position on the raised problem questions and ways of their decision is formulated.

The aim is to analyze the historical development and current state of forensic, procedural and organizational issues of selection, licensing, use, adaptation of modern information, digital, telecommunications, computer and other technologies (including artificial intelligence) in forensics, expertise and pre-trial investigation, as well as the regulatory framework governing certain issues in this area.
Informe especial de estabilidad financiera: riesgo de crédito - Primer semestre de 2022
Authors:   Departamento de Estabilidad Financiera
Published: June 2022

Monitorear el riesgo de crédito es fundamental para preservar la estabilidad del sistema financiero. Este informe presenta, para cada modalidad de cartera, un análisis de las condiciones de crédito y de los principales indicadores de riesgo.
Intensitas Mengakses Online Shopping Instagram Dengan Perilaku Konsumtif
Authors: Denok Wigati  , Windy Chintya Dewi  , Nur Fanti Indah Sari
Published: June 2022

The purpose of this Inferential research was to test the significance of the correlation between the Intensity of Accessing online Shopping and Consumptive Behavior. The  population of this study were 56 career women.  The sampling technique used is Simple Random Sampling. The data collection method used the online shopping intensity and consumption behavior scales. Test the hypothesis using Rho Spearman. The results of Rho Spearman's analysis between the variables Of Intensity of Accessing Online Shopping and Consumptive Behavior produced a rho = 0.691 correlation coefficient with Sig.or p = 0.000 (p< 0.01), meaning that there is a very significant positive correlation between the intensity of accessing online shoping and consumptive behavior. This means that the increasing intensity of access to online purchases with high consumption behavior among career women. So, the hypothesis in this study is accepted.
Intensitas Pengguna Media Sosial Dengan Gaya Hidup Hedonisme Ibu – Ibu Muda
Authors: Miftahul Aula Sa'adah  , Najminnur Hasanatun Nida
Published: June 2022

The purpose of this study is to find out if there is a link between the intensity of social media users and the lifestyle of hedonism among young mothers. Sampling method was taken as many as 50 subjects from young mothers aged 20-35 engaged with social media platform. This study used two scales, the intensity scale of social media users with 46 items and the hedonism lifestyle scale with 52 items. Testing the validity of measuring instruments using the SPSS application. Test reliability used is Cronbach's Alpha, resulted coefficient of the hedonism lifestyle scale 0.891 and the intensity scale of social media users revealed 0.970. This study tested with Correlation Spearman Rho. Hypothesis Test obtained a correlation coefficient with p Significant correlation = 0.012 ( < 0.05) . This shows that there is a positive correlation between the Intensity of social media users (young mothers) and the lifestyle of Hedonism.
Partai Politik dan Pemilu yang Demokratis
Authors: Muhsin
Published: June 2022

ABSTRAK

Sesuai dengan ketentuan Pasal 22E Undang-Undang Dasar Negara Republik Indonesia Tahun 1945, bahwa Pemilihan Umum untuk memilih Presiden dan Wakil Presiden, Anggota Dewan Perwakilan Rakyat, Anggota Dewan Perwakilan Daerah, serta anggota Dewan Perwakilan Rakyat Daerah diselenggarakan berlandaskan asas langsung, umum, bebas, rahasia, jujur, dan adil setiaplima tahun sekali. Penyelenggaraan pemilu yang demokratis menjadi syarat penting dalam pembentukan kepemimpinan sebuah negara.

Salah satu wujud dalam keterlibatan masyarakat dalam proses politik adalah melalui pemilihan umum (pemilu).Permasalahan yang dibahas dalam penelitian ini adalah sebagai berikut: Bagaimana Fungsi Partai Politik dalam Pemilu yang demokrasi ? dan Apakah dampak partai politik dalam demokrasi di Indonesia ?.

Jenis penelitian yang dilakukan adalah penelitian yuridis normatif yaitu pendekatan yang menggunakan konsep legis positivis yang menyatakan bahwa hukum adalah identik dengan norma-norma tertulis yang dibuat dan diundangkan oleh lembaga-lembaga atau pejabat berwenang.

Kesimpulan Latar belakang Fungsi partai politik pertama, sebagai sarana komunikasi politik, Kedua, sebagai sarana bagi proses yang melaluinya seseorang memperoleh sikap dan orientasi terhadap fenomena fenomena politik dan untuk menciptakan citra (image) bahwa ia memperjuangkan kepentingan umum. Ketiga, segai sarana rekrutmen politik, Keempat, adalah sebagai saraa pengatur konflik, maka partai politik dengan simbol partai yang aspiratif dan mampu mengatasinya Implikasi positif adalah suatu bentuk akibat yang memberikan dampak kemajuan, kelancaran bagi pelaksanaan pemilu. Dan juga Implikasi Negatif : Hal seperti inilah yang sering menimbulkan ekses negatif, yaitu konflik antara wilayah pusat dan daerah, partai sering sekali tidak mampu mengkoordinir atau mengelola massanya untuk berkampanye secara tertib dan aman.
Standing Waves in Discrete Klein-Gordon Type Equations with Saturable Nonlinearities
Authors:   Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University, Bak S.
Published: June 2022

Стаття присвячена вивченню дискретних рівнянь типу Клей-на-Ґордона, які описують динаміку нескінченних ланцюгів ліній-но зв’язаних нелінійних осциляторів. Такі рівняння представля-ють собою нескінченні системи звичайних диференціальних рів-нянь. Вивчаються такого типу рівняння із насичуваними неліній-ностями. Для таких рівнянь одержано результати про існування розв’язків у вигляді стоячих хвиль. Після підстановки в дану сис-тему анзаца у вигляді стоячої хвилі одержуться система алгебраї-чних рівнянь для амплітуди стоячої хвилі. Вивчаються два види розв’язків: періодичні (з періодом k) і локалізовані (збігаються до нуля на нескінченності). Дані рівняння мають варіаційну структу-ру. Тому показано, що k-періодичні і локалізовані розв’язки мож-на побудуватияк критичні точки двох деяких функціоналів у від-повідних просторах двохсторонніх послідовностей. Далі розгля-нуто многовиди Нехарі для відповідних варіаційних задач. Ці многовиди містять нетривіальні критичні точки даних функціона-лів. Показано, що многовиди Нехарі непорожні і замкнені підм-ноговиди відповідних просторів двохсторонніх послідовностей. Крім того, розглянуто відповідні задачі мінімізації даних функці-оналів. Показано, що на многовиді Нехарі для першого функціо-налу відповідна задача мінімізації запевних умов має розв’язок. А отже, за цих умов вихідне рівняння має нетривіальні k-періодичні розв’язки. У випадку локалізованих розв’язків довести, що відпо-відна задача мінімізації має розв’язок на відповідному многовиді Нехарі складно. Тому у цьому випадку використано метод періо-дичних апроксимацій, тобто критичні точки функціоналу, який відповідає локалізованим розв’язкам, будуються за допомогою граничного переходу (при періоді kпрямуючому до нескінченно-сті) в критичних точках функціоналу, який відповідає k-періодич-ним розв’язкам. Одержані локалізовані розв’язки і є розв’язками відповідної задачі мінімізації.
Correlación entre Ideación Suicida y Adicción a Internet en Estudiantes Universitarios de Ciencias Computacionales
Authors: Raygoza Castañeda María , Haro Mota Viviana Jaqueline , Rodríguez Flores Javier Octavio , Arévalo Mercado Carlos Argelio
Published: June 2022

En el 2016 en México se presentó una tasa de 5.1 suicidios por cada 100,000 habitantes. Aguascalientes se encuentra en el 3er lugar a nivel nacional con 9.6 suicidios por cada 100, 000 habitantes. El objetivo de esta investigación fue el de identificar si el uso patológico de internet (PIU) es un factor de riesgo de suicidio en los jóvenes universitarios de la Universidad Autónoma de Aguascalientes. Se realizaron dos encuestas por invitación directa aleatoria, basadas en la Escala de Ideación suicida de Beck y el Internet Adiction Test, a 102 estudiantes. Se encontró que el 69.61% de los encuestados tiene el control completo sobre el uso de internet, el 28.43% tiene problemas frecuentes con el uso de internet y en el 1.96% existe adicción a internet y causa problemas significativos. Notablemente, se encontró que existe una correlación baja pero estadísticamente significativa entre la ideación suicida y la adicción a internet.

In 2016 in Mexico, there was a rate of 5.1 suicides per 100,000 inhabitants. Aguascalientes is ranked 3rd place nationwide with 9.6 suicides per 100, 000 inhabitants. The main objective of this research was to identify if the pathological use of the Internet (PIU) is a risk factor for suicide in undergraduate students of the Autonomous University of Aguascalientes. Two surveys were conducted and applied by random direct invitation to 102 students, based on the Beck Suicide Ideation Scale and Internet Addiction Test. It was found that 69.61% of the participants have complete control over the use of the internet, 28.43% have frequent problems with the use of the internet and in 1.96% there is internet addiction and it is causing significant problems. Notably, a low but statistically significant correlation was found between suicide ideation and Internet addiction.
Un enfoque del reconocimiento de patrones de marcha en pacientes con Huntington y Ataxias Hereditarias usando datos de acelerómetros del iPhone
Authors: Beltrán-Naturi Elías , Acosta-Escalante Francisco D. , Catherine Boll Marie , Hernández Nolasco José Adán
Published: June 2022

Las enfermedades de Huntington y Ataxias hereditarias afectan las habilidades motoras de manera progresiva conforme avanza la enfermedad; lo que implica alteraciones en los patrones de marcha y como consecuencia la pérdida del equilibrio y la falta de coordinación en el desplazamiento. Diversas investigaciones se han desarrollado enfocados en el reconocimiento de los patrones de la marcha en estas enfermedades; sin embargo, solo se ha alcanzado un 78.78% de precisión. En este trabajo se propone un método para el reconocimiento de la marcha usando datos de sensores de movimiento capturados con el Iphone colocados en los tobillos de los pacientes. Se implementan diversos algoritmos selectores de atributos para extraer 320 subconjuntos de datos; los algoritmos CfsSubsetEval & LinearForwardSelection permiten obtener las características más presentativas de los grupos. La combinación de los algoritmos RandomCommittee & ExtraTree alcanza una precisión de 87.99%, lo que representa una mejora del 9.21%.

Huntington's disease and hereditary ataxias affect motor skills progressively as the disease progresses; which implies alterations in the walking patterns and as a consequence the loss of balance and the lack of coordination in the movement. Various investigations have been carried out focused on the recognition of gait patterns in these diseases; however, only 78.78% accuracy has been achieved. In this work, a method for gait recognition is proposed using data from motion sensors captured with the iPhone placed on the ankles of the patients. Various attribute selector algorithms are implemented to extract 320 subsets of data; The CfsSubsetEval & LinearForwardSelection algorithms allow you to obtain the most representative characteristics of the groups. The combination of the RandomCommittee & ExtraTree algorithms achieves an accuracy of 87.99%, representing an improvement of 9.21%.
De la Presencialidad a la Virtualidad y su Impacto en el Desempeño Docente: Un Panorama desde la Percepción de los Estudiantes
Authors: Benítez Cortés R.P. , Aguilar Navarrete P. , Camacho González M.F.Y. , Torres Covarrubias V.J.
Published: June 2022

En el presente trabajo se expone el resultado de una evaluación del desempeño docente de los profesores de la Licenciatura en Sistemas Computacionales (LSC) de la Universidad Autónoma de Nayarit. La evaluación docente en el aula es un proceso sistematizado que en la LSC se realiza al final de cada semestre, pero a partir de la pandemia del SARS-CoV-2, los profesores migraron forzosamente su práctica docente a un contexto virtual apoyado con las TIC, lo que implicó un cambio drástico en sus labores cotidianas. En el presente estudio se expone cómo los profesores cambiaron sus estrategias para el ofrecimiento de sus cursos y el impacto que esto tuvo desde la percepción de los estudiantes a partir de una evaluación del desempeño docente.

This paper sets out the result of an evaluation of the teaching performance of the professors of the Bachelor's Degree in Computational Systems (LSC) of the Autonomous University of Nayarit. Teacher evaluation in the classroom is a systematized process that in the LSC takes place at the end of each semester, but from the SARS-CoV-2 pandemic, teachers forcibly migrated their teaching practice to a virtual context supported by ICT, which involved a drastic change in their daily work. This study sets out how teachers changed their strategies for offering their courses and the impact this had from student perception from a teacher performance assessment.
STUDI KASUS: PENTINGNYA ASUHAN KEBIDANAN KOMPREHENSIF UNTUK MENCEGAH DAN MENGATASI BENDUNGAN ASI PADA IBU POSTPARTUM
Authors: Laisouw Meilany , Malawat Ratna
Published: June 2022

Breast engorgement is one of the problems that often occurs during puerperium. Many factors can affect the occurrence of breast engorgement, including the lack of breastfeeding intensity, no breast care during pregnancy, abnormalities in the nipples and the lack of knowledge of the mother. Breast engorgement will greatly affect the fulfillment of the babies needs for breastmilk which is the only best food for them to help their growth and development. This case study describes how the occurrence of breast engorgement and the efforts to deal with it in Mrs. S, a 22-years-old primipara. The efforts to handle breast engorgement in this case were carried out by teaching the Mrs. S and her family how to care for breast and nipples, how to breastfeed properly, and providing education to increase her knowledge. The midwifery care provided can help Mrs. S to overcome breast engorgement and breastfeed her baby normally. Midwifery care related to preparation for breastfeeding needs to be carried out from pregnancy to postpartum period comprehensively. Thus, mothers can prevent and overcome breastfeeding problems independently so that exclusive breastfeeding for six months can be achieved.
STUDI KASUS: PAKET EDUKASI “BREAST” UNTUK PENANGANAN MASALAH LAKTASI
Authors: Lestaluhu Viqy
Published: June 2022

Breastfeeding is a government program that must be carried out by mothers after giving birth until the baby aged six months old and even up to two years, because breastfeeding has many benefits, especially for the mother and baby. However, it is undeniable that the fact among the community shows that breastfeeding is actually not easy, many mothers fail in the breastfeeding process and this can affect the health of the mother and baby. The largest average decrease in maintaining breastfeeding occurred in the first week postpartum. Knowledge and correct understanding of breast milk also plays an important role in this regard. Both knowledge about the advantages and benefits of breastfeeding, how to overcome the obstacles faced during breastfeeding, as well as the correct breastfeeding technique. This case study describes the application of the “BREAST” education package to Mrs. A. 6 hours postpartum with complaints of lack of milk production. One of the midwifery care for breastfeeding mothers is to implement the "BREAST" education package which stands for B = body position, R = response, E = emotion, A = anatomy, S = suckling and T = time. Health education can increase knowledge and skills so that they can overcome lactation problems and optimize the health of mothers and babies.
Metastatik Yumuşak Doku Sarkomlarında Trabektedin Kullanımının Retrospektif Değerlendirilmesi: Tek Merkez Deneyimi
Authors: CANER Burcu , OYUCU ORHAN Sibel , ASAN Büşra , OCAK Birol , ŞAHİN Ahmet Bilgehan , DELİGÖNÜL Adem , ÇUBUKÇU Erdem , EVRENSEL Türkkan
Published: June 2022

etkilerinin değerlendirilmesi amaçlanmıştır. Sarkom tanısıyla trabektedin tedavisi alan 16 hastanın dosyaları retrospektif olarak tarandı. Hastaların demografik özellikleri, tedavi süreleri, tedavi yanıtları, ilaç yan etkileri kaydedildi. 16 hastanın 9’u erkek (%56,2), 7’si kadındı (%43,7). Trabektedin için medyan progresyonsuz sağkalım (progression-free survival, PFS) 2,9 ay, genel sağkalım (overall survival, OS) 6,7 ay saptandı. Sağkalım üzerine etkili olan tek faktör trabektedin tedavi sırası olarak belirlendi. Trabektedini 2. ya da 3.sıra tedavi olarak alan hastalar daha iyi PFS süresine (medyan PFS 10,3 aya karşı 1,6 ay, %95 GA: 0-21.9, p= 0.003) ve OS süresine (medyan 26,7 ay’a karşı 5,7 ay, %95 GA: 16.9-36.5, p= 0.003) sahipti. Sarkom çalışmalarında objektif yanıt değerlendirme kriteri olarak kullanılan büyüme modülasyon indeksi (growth modulation index, GMI) değeri 1,33’ün üzerinde olan hastaların PFS ve OS süreleri istatiksel anlamlı olarak daha iyiydi (medyan PFS 19,8 ay, p=0.002; medyan OS 26,7 ay, p=0.047). Tüm hastalarda yan etki gözlendi, grad 3/4 yan etkiler hematolojik yan etkiler %62,5 ve alanin aminotransferaz (ALT)/ aspartat aminotransferaz (AST) artışı %50 sıklıkta oldu. Çalışmada saptanan PFS, OS, yanıt oranları ve yan etkiler diğer çalışmalar ile benzer saptanmış, trabektedini 2.ve 3.sıra tedavi olarak alan hastaların ilaçtan daha fazla fayda gördüğü belirlenmiştir.
Proposta de implementação de recrutamento e seleção estruturados para diminuição da rotatividade: estudo de caso na empresa Oliva Pinto Logística LTDA
Authors: Barreto Loiana Rodrigues , Oliveira Victor Jocean da Silva , Silva Wallid da , Rodrigues Yara Thais Nogueira , Roberto José Carlos Alves , Almeida Victor da Silva
Published: June 2022

O presente artigo teve como propósito realizar um estudo de caso na empresa Oliva Pinto LTDA, empresa de grande porte, localizada em Manaus-AM, que atua no ramo de logística. A pesquisa surgiu de um estudo de caso das áreas funcionais da empresa por intermédio do diagnóstico organizacional, no qual constatou-se a área de recursos humanos como a mais crítica da empresa. Dessa forma, para fundamentar o objeto de estudo, criou-se a seguinte pergunta problema: quais estratégias de recrutamento e seleção podem ser implementadas na empresa Oliva Pinto Logística LTDA a fim de que haja diminuição dos índices de rotatividade de pessoas? O objetivo geral visa propor a estruturação de um processo eficaz de recrutamento e seleção (R&S) para diminuição da rotatividade na empresa. A metodologia aplicada, quanto à natureza, apresenta caráter aplicado e qualitativo, quanto aos fins, deu-se por meio de pesquisa exploratória e explicativa, e quanto aos meios, foram utilizados pesquisa de campo, o estudo de caso, bem como a pesquisa bibliográfica. A ferramenta intervencionista escolhida foi a 5W2H, que foi utilizada para propor um conjunto de seis ações interventivas que visam estruturar os processos de recrutamento e seleção na empresa estudada. Como resultados, propôs-se: estabelecer um padrão para processo de R&S e treinar os responsáveis por este processo; implementar uma plataforma digital para R&S; criar etapas de seleção dentro da plataforma digital; desenvolver relatórios de acompanhamento dos candidatos; realizar entrevistas on-line com os candidatos selecionados; criar um processo de onboarding estruturado. Espera-se, com a aplicação das ações interventivas, reestruturar os processos de R&S, a fim de obter uma maior assertividade, alcançar a diminuição expressiva ou até a eliminação de grandes índices de rotatividade, manter os novos colaboradores engajados, de forma que estes busquem o melhor desempenho dentro da organização.
Photochemical Insights on Intramolecular Dye-Sensitized Free-Radical Processes with a Quinoline Antenna
Authors: Impellizzeri Stefania
Published: June 2022

Under mild ultraviolet illumination, a quinoline dye acts as a molecular ‘antenna’ to promote the reactivity of chemically coupled TEMPO toward H abstraction to form the corresponding N-hydroxylamine. The hydrogen can also be abstracted from a polymer matrix (R), and subsequent linkage of the dye-nitroxide to the polymer skeleton can occur. In all cases, the intramolecular quenching pathway is suppressed and the fluorescence of the quinoline dye is restored.
COVİD 19 SALGINI DÖNEMİNDE BORSA İSTANBUL’DA İŞLEM GÖREN İLAÇ FİRMALARININ FİNANSAL PERFORMANSLARININ ANALİZİ
Authors: AKGÜN Ali , AHMADZADA Akbar
Published: June 2022

Bu çalışmanın amacı Covid 19 salgını döneminde Borsa İstanbul’da işlem gören ilaç firmalarının finansal performanslarının karşılaştırılarak analiz edilmesidir. Çalışmada Borsa İstanbul’da işlem gören 7 ilaç firmasının 2019,2020 ve 2021 yıllarına ait yıllık finansal performans kriterleri dikkate alınmıştır. Performans kriterleri belirlenirken incelenen literatür çerçevesinde likidite, varlıkların etkin kullanımı, finansal yapı ve karlılık oranlarından oluşan 8 finansal oran belirlenmiştir. Yıllık finansal durum tablolarından hesaplanan finansal performans kriterleri önce Entropi yöntemi ile ağırlıklandırılmış ve bu ağırlıklandırma ile TOPSIS yöntemi kullanılarak yıllık finansal performans sıralamaları elde edilmiştir. Elde edilen bulgulara göre 2019 yılında SELEC, 2020 yılında RTALB ve 2021 yılında yine SELEC şirketleri en iyi finansal performans gösteren şirketler olurken her üç yılda da en düşük finansal performans gösteren şirket MPARK olarak tespit edilmiştir. Covid 19 salgını döneminde finansal performansı yükselen şirketin ise RTALB olduğu belirlenmiştir.
UZAKTAN EĞİTİM YOLUYLA MUHASEBE EĞİTİMİNDE BİREYSEL YENİLİKÇİLİK, ÖZ YETERLİLİK VE ÖZ MOTİVASYONUN MEMNUNİYETE ETKİSİ
Authors: ATABAY İsmail
Published: June 2022

Covid-19 pandemi sürecinden önce yükseköğretimdeki muhasebe eğitimi genellikle geleneksel yöntemlerle yürütülmekteydi. Ancak, pandemi süreci yükseköğretimin hemen hemen tüm alanlarında olduğu gibi, muhasebe eğitiminin de uzaktan eğitim yoluyla yapılmasını zorunlu kıldı. Pandemi sona erse bile pandemiden önceki duruma dönüşün mümkün olamayacağı yönünde görüşler dikkate alındığında, bu süreç muhasebe eğitimi açısından belki de uzun vadeli değişimin bir başlangıcı olabilir. Bu nedenle, uzaktan eğitimde memnuniyete etki eden faktörleri belirlemek son derece önemlidir.

Bu çalışma, uzaktan eğitim yoluyla muhasebe eğitimi alan öğrencilerin bireysel yenilikçilik, öz yeterlilik ve öz motivasyonlarının memnuniyetleri üzerindeki etkisini belirlemeye yöneliktir. Bu amaçla en az bir dönem uzaktan eğitim yoluyla muhasebe eğitimi almış 393 üniversite öğrencisi ile yapılan anket sonuçları SPSS 25.0 ve AMOS 23 paket programları ile analiz edilmiştir. Araştırma sonucunda bireysel yenilikçilik boyutlarından değişime direnç ve değişime açıklığın, öz yeterliliğin ve öz motivasyonun uzaktan eğitim memnuniyetinin önemli yordayıcısı oldukları tespit edilmiştir.