bluuebunny/crossref_metadata_2025 huggingface dataset:
Gut Microbiome Features of Chinese Patients Newly Diagnosed with Alzheimer’s Disease or Mild Cognitive Impairment
Authors: Guo Mingyan , Peng Jun , Huang Xiaoyan , Xiao Lingjun , Huang Fenyan , Zuo Zhiyi
Published: January 2021

Background: Patients with Alzheimer’s disease (AD) have gut microbiome alterations compared with healthy controls. However, previous studies often assess AD patients who have been on medications or other interventions for the disease. Also, simultaneous determination of gut microbiome in patients with mild cognitive impairment (MCI) or AD in a study is rare. Objective: To determine whether there was a gut microbiome alteration in patients newly diagnosed with AD or MCI and whether the degree of gut microbiome alteration was more severe in patients with AD than patients with MCI. Methods: Fecal samples of 18 patients with AD, 20 patients with MCI, and 18 age-matched healthy controls were collected in the morning for 16S ribosomal RNA sequencing. No patient had medications or interventions for AD or MCI before the samples were collected. Results: Although there was no difference in the microbial α-diversity among the three groups, patients with AD or MCI had increased β-diversity compared with healthy controls. Patients with AD had decreased Bacteroides, Lachnospira, and Ruminiclostridium_9 and increased Prevotella at the genus level compared with healthy controls. The changing direction of these genera in patients with MCI was the same as patients with AD. However, Lachnospira was the only genus whose abundance in patients with MCI was statistically significantly lower than healthy controls. Bacteroides, Lachnospira, and Ruminiclostridium_9 were positively associated with better cognitive functions whereas Prevotella was on the contrary when subjects of all three groups were considered. The negative correlation of Prevotella with cognitive functions remained among patients with MCI. Conclusion: Patients newly diagnosed with AD or MCI have gut dysbiosis that includes the decrease of potentially protective microbiome, such as Bacteroides, and the increase of microbiome that can promote inflammation, such as Prevotella. Our results support a novel idea that the degree of gut dysbiosis is worsened with the disease stage from MCI to AD.
Design of coordination contract for quality control-based supply chain under consumer balking behavior with fuzzy environment
Authors: Lan Chongfeng
Published: January 2021

Considering the ubiquity of consumer balking behavior (CBB) in real-life economics and the importance of product quality control (QC) to supply chain (SC) competitiveness, this paper explores the SC coordination under both the QC and the CBB. Specifically, the consumer’s loss aversion behavior was illustrated at a fixed balking probability, and the SC models were created for centralized and decentralized decision-making modes. After that, the optimal strategies for the retailer and the manufacturer were identified, and the comparative static analysis was adopted to explore the effects of the CBB and QC on the optimal decision-making of the SC. The research results show that the QC-based SC under the CBB cannot be coordinated by wholesale price contract alone, but can be coordinated perfectly by this contract when the retailer shares the quality effort and the manufacturer shares the oversupply cost and analyzed through the fuzzy environment with the formulation. This finding sheds new light on the theory and application of wholesale price contract in SC coordination. Finally, the parameter sensitivity analysis was performed on balking probability and product qualification rate (PQR) through numerical experiments, which further discloses the impacts of the CBB and product QC on the optimal decision-making and profit of the SC.
Regional differences and the contributory factors based on tourism economy in river delta of yangtze of China using fuzzy analytic hierarchy process
Authors: Jia Yufang
Published: January 2021

China’s tourism industry has made remarkable achievements since reframing and beginning, but the imbalanced expansion of regional tourism has become increasingly severe. This paper involves the analysis of combining index analysis and factor analysis and employs SPSS software to make a quantitative analysis on the differences and the contributory factors of the tourism economy in Yangtze River Delta in China from 2006 to 2016. The results have demonstrated that there exists an imbalance in the development of tourism economy in the Yangtze River Delta, and that there is a significant spatial difference with a yearly trend of decrease. Besides, a major gap lies among the comprehensive development level of tourism economy of the cities in the Yangtze River Delta. In this paper, Fuzzy analytic hierarchy process is used for making decision based analysis process for tourism economy. The comprehensive development level of tourism economy in Shanghai, Suzhou and Nanjing is much higher than that in other cities. Tourism resources endowment, tourism reception facilities and the development level of regional economy are important contributory factors of the regional differences of economy based on tourism in river delta of Yangtze, and there exists an extremely obvious positive correlation.
A study on the classification of vegetation point cloud based on random forest in the straw checkerboard barriers area
Authors: Sun Tiebo , Liu Jinhao , Kan Jiangming , Sui Tingting
Published: January 2021

Aiming at the problem of automatic classification of point cloud in the investigation of vegetation resources in the straw checkerboard barriers region, an improved random forest point cloud classification algorithm was proposed. According to the problems of decision tree redundancy and absolute majority voting in the existing random forest algorithm, first the similarity of the decision tree was calculated based on the tree edit distance, further clustered reduction based on the maximum and minimum distance algorithm, and then introduced classification accuracy of decision tree to construct weight matrix to implement weighted voting at the voting stage. Before random forest classification, based on the characteristics of point cloud data, a total of 20 point cloud single-point features and multi-point statistical features were selected to participate in point cloud classification, based on the point cloud data spatial distribution characteristics, three different scales for selecting point cloud neighborhoods were set based on the point cloud density, point cloud classification feature sets at different scales were constructed, optimizing important features of point cloud to participate in point cloud classification calculation after variable importance scored. The experimental results showed that the point cloud classification based on the optimized random forest algorithm in this paper achieved a total classification accuracy of 94.15% in dataset 1 acquired by lidar, the overall accuracy of classification on dataset 2 obtained by dense matching reaches 92.03%, both were higher than the unoptimized random forest algorithm and MRF, SVM point cloud classification method, and dimensionality reduction through feature optimization can greatly improve the efficiency of the algorithm.
Intelligent crack damage detection system in shield tunnel using combination of retinanet and optimal adaptive selection
Authors: Gao Xin Wen , Li ShuaiQing , Jin Bang Yang , Hu Min , Ding Wei
Published: January 2021

With the large-scale construction of urban subways, the detection of tunnel cracks becomes particularly important. Due to the complexity of the tunnel environment, it is difficult for traditional tunnel crack detection algorithms to detect and segment such cracks quickly and accurately. The article presents an optimal adaptive selection model (RetinaNet-AOS) based on deep learning RetinaNet for semantic segmentation on tunnel crack images quickly and accurately. The algorithm uses the ROI merge mask to obtain a minimum detection area of the crack in the field of view. A scorer is designed to measure the effect of ROI region segmentation to achieve optimal results, and further optimized with a multi-dimensional classifier. The algorithm is compared with the standard detection based on RetinaNet algorithm with an optimal adaptive selection based on RetinaNet algorithm for different crack types. The results show that our crack detection algorithm not only addresses interference due to mash cracks, slender cracks, and water stains but also the false detection rate decreases from 25.5–35.5% to about 3.6%. Meanwhile, the experimental results focus on the execution time to be calculated on the algorithm, FCN, PSPNet, UNet. The algorithm gives better performance in terms of time complexity.
Deep autoencoder-based community detection in complex networks with particle swarm optimization and continuation algorithms
Authors: Al-Andoli Mohammed , Cheah Wooi Ping , Tan Shing Chiang
Published: January 2021

Detecting communities is an important multidisciplinary research discipline and is considered vital to understand the structure of complex networks. Deep autoencoders have been successfully proposed to solve the problem of community detection. However, existing models in the literature are trained based on gradient descent optimization with the backpropagation algorithm, which is known to converge to local minima and prove inefficient, especially in big data scenarios. To tackle these drawbacks, this work proposed a novel deep autoencoder with Particle Swarm Optimization (PSO) and continuation algorithms to reveal community structures in complex networks. The PSO and continuation algorithms were utilized to avoid the local minimum and premature convergence, and to reduce overall training execution time. Two objective functions were also employed in the proposed model: minimizing the cost function of the autoencoder, and maximizing the modularity function, which refers to the quality of the detected communities. This work also proposed other methods to work in the absence of continuation, and to enable premature convergence. Extensive empirical experiments on 11 publically-available real-world datasets demonstrated that the proposed method is effective and promising for deriving communities in complex networks, as well as outperforming state-of-the-art deep learning community detection algorithms.
Multiperiod portfolio selection models under uncertain measure and with multiple criteria
Authors: Zhai Jia , Zheng Haitao , Bai Manying , Jiang Yunyun
Published: January 2021

This paper explores a multiperiod portfolio optimization problem under uncertain measure involving background risk, liquidity constraints and V-shaped transaction costs. Unlike traditional studies, we establish multiperiod mean-variance portfolio optimization models with multiple criteria in which security returns, background asset returns and turnover rates are assumed to be uncertain variables that can be estimated by experienced experts. When the returns of the securities and background assets follow normal uncertainty distributions, we use the deterministic forms of the multiperiod portfolio optimization model. The uncertain multiperiod portfolio selection models are practical but complicated. Therefore, the models are solved by employing a genetic algorithm. The uncertain multiperiod model with multiple criteria is compared with an uncertain multiperiod model without background risk and an uncertain multiperiod model without liquidity constraint respectively, we discuss how background risk and liquidity affect optimal terminal wealth. Finally, we give two numerical examples to demonstrate the effectiveness of the proposed approach and models.
Map-matching approach based on link factor and hidden Markov model
Authors: Zhang Haiyan , Luo Yonglong , Yu Qingying , Zheng Xiaoyao , Li Xuejing
Published: January 2021

An accurate map matching is an essential but difficult step in mapping raw float car trajectories onto a digital road network. This task is challenging because of the unavoidable positioning errors of GPS devices and the complexity of the road network structure. Aiming to address these problems, in this study, we focus on three improvements over the existing hidden Markov model: (i) The direction feature between the current and historical points is used for calculating the observation probability; (ii) With regard to the reachable cost between the current road section and the destination, we overcome the shortcoming of feature rarefaction when calculating the transition probability with low sampling rates; (iii) The directional similarity shows a good performance in complex intersection environments. The experimental results verify that the proposed algorithm can reduce the error rate in intersection matching and is suitable for GPS devices with low sampling rates.
An intent recognition model supporting the spoken expression mixed with Chinese and English
Authors: Hu Miao , Peng Junjie , Zhang Wenqiang , Hu Jingxiang , Qi Lizhe , Zhang Huanxiang
Published: January 2021

Intent recognition is one of the most essential foundations as well as a very challenging task for language understanding, especially for spoken language. As spoken text is short, and lack of full context. Moreover, it may mix multi-language forms. These non-standard spoken expressions further lead to the shortage of text information. In consideration that sparse text information seriously affects the effect of intention understanding, a multi-feature fusion-based intent recognition model for the bilingual phenomenon mixed with Chinese and English is proposed. Combining word2vec and multilingual wordNets with the same synset_id (synonym set id), the model can mask the differences between different languages. Meanwhile, it can enrich the information representation of the spoken text by fusing the word intention features with the context-dependent features represented by transformer as well as the word frequency features. To verify the correctness and effectiveness of the model, extensive experiments were conducted on a real online logistics customer service platform and SMP2018-ECDT dataset. The results show that our model is superior to other models. And it improves the accuracy of intent recognition in logistics data by 20% compared with that of transformer.
Combined Knockout of Lrrk2 and Rab29 Does Not Result in Behavioral Abnormalities in vivo
Authors: Mazza Melissa Conti , Nguyen Victoria , Beilina Alexandra , Karakoleva Ema , Coyle Michael , Ding Jinhui , Bishop Christopher , Cookson Mark R.
Published: January 2021

Background: Coding mutations in the LRRK2 gene, encoding for a large protein kinase, have been shown to cause familial Parkinson’s disease (PD). The immediate biological consequence of LRRK2 mutations is to increase kinase activity, suggesting that inhibition of this enzyme might be useful therapeutically to slow disease progression. Genome-wide association studies have identified the chromosomal loci around LRRK2 and one of its proposed substrates, RAB29, as contributors towards the lifetime risk of sporadic PD. Objective: Considering the evidence for interactions between LRRK2 and RAB29 on the genetic and protein levels, we set out to determine whether there are any consequences on brain function with aging after deletion of both genes. Methods: We generated a double knockout mouse model and performed a battery of motor and non-motor behavioral tests. We then investigated postmortem assays to determine the presence of PD-like pathology, including nigral dopamine cell count, astrogliosis, microgliosis, and striatal monoamine content. Results: Behaviorally, we noted only that 18–24-month Rab29-/- and double (Lrrk2-/-/Rab29-/-) knockout mice had diminished locomotor behavior in open field compared to wildtype mice. However, no genotype differences were seen in the outcomes that represented PD-like pathology. Conclusion: These results suggest that depletion of both LRRK2 and RAB29 is tolerated, at least in mice, and support that this pathway might be able to be safely targeted for therapeutics in humans.
Body-Worn Sensors for Remote Monitoring of Parkinson’s Disease Motor Symptoms: Vision, State of the Art, and Challenges Ahead
Authors: Del Din Silvia , Kirk Cameron , Yarnall Alison J. , Rochester Lynn , Hausdorff Jeffrey M.
Published: January 2021

The increasing prevalence of neurodegenerative conditions such as Parkinson’s disease (PD) and related mobility issues places a serious burden on healthcare systems. The COVID-19 pandemic has reinforced the urgent need for better tools to manage chronic conditions remotely, as regular access to clinics may be problematic. Digital health technology in the form of remote monitoring with body-worn sensors offers significant opportunities for transforming research and revolutionizing the clinical management of PD. Significant efforts are being invested in the development and validation of digital outcomes to support diagnosis and track motor and mobility impairments “off-line”. Imagine being able to remotely assess your patient, understand how well they are functioning, evaluate the impact of any recent medication/intervention, and identify the need for urgent follow-up before overt, irreparable change takes place? This could offer new pragmatic solutions for personalized care and clinical research. So the question remains: how close are we to achieving this? Here, we describe the state-of-the-art based on representative papers published between 2017 and 2020. We focus on remote (i.e., real-world, daily-living) monitoring of PD using body-worn sensors (e.g., accelerometers, inertial measurement units) for assessing motor symptoms and their complications. Despite the tremendous potential, existing challenges exist (e.g., validity, regulatory) that are preventing the widespread clinical adoption of body-worn sensors as a digital outcome. We propose a roadmap with clear recommendations for addressing these challenges and future directions to bring us closer to the implementation and widespread adoption of this important way of improving the clinical care, evaluation, and monitoring of PD.
Development & validation of the Greek version of the adult food security survey module
Authors: Michalis Athanassios , Panagiotakos Demosthenes B. , Costarelli Vassiliki
Published: January 2021

BACKGROUND:

Food insecurity seems to be positively correlated with increased risk of malnutrition and poor health.

OBJECTIVE:

The purpose of the study was to develop and validate the Greek version of Adult Food Security Survey Module (AFSSM).

METHODS:

The AFSSM was translated to the Greek language forward and backward twice and subsequently was administered to 94 healthy adult individuals living in Greece. The participants had to complete the tool twice, within a period of 15 days. Fifty of the above participants also took part in a specifically designed structured interview, designed to assess food insecurity, for comparison purposes with the tested tool. Socioeconomic and anthropometric characteristics were also assessed.

RESULTS:

There was a significant positive correlation between the Greek AFSSM (AFSSM-Gr) and the results of the specifically designed structured interview, assessing food insecurity ( r = 0.376, p <  0.01). The Cronbach’s alpha coefficient of reliability for the Greek AFSSM was good (α= 0.763). There was also a significant negative correlation between the age of the participants and the score of the AFSSM-Gr ( r = –0.307, p <  0.01).

CONCLUSIONS:

The AFSSM-Gr can be considered as a useful tool for assessing Food Insecurity.
Hypercholesterolemia as a dominant factor of central obesity among adult patients at Bojong Gede Public Health Center, Bogor Regency, Indonesia
Authors: Natalia Latif Benedicta , Sartika Ratu Ayu Dewi , Widiartha Fani
Published: January 2021

The prevalence of central obesity has been increasing rapidly in recent decades. Central obesity, measured by waist circumference, is the most dangerous type of obesity since it is closely related to chronic diseases, metabolic complications, and high COVID-19 infection rates. The objective of this study was to identify the dominant factor of central obesity among the adult population. The study used secondary data from a 2017 cross-sectional study conducted at Bojong Gede Public Health Center, Bogor Regency, Indonesia. A total of 85 men and women aged 25–64 years old were selected through purposive sampling and included in the analysis. The association between risk factors and central obesity were measured through chi-square bivariate analysis and multiple logistic regression multivariate analysis using IBM SPSS application version 22. The prevalence of central obesity was 70.6%. The results showed that sex (women), total blood cholesterol level (hypercholesterolemia), energy, protein, fat, and carbohydrate intake (>110%personal nutritional needs) were significantly associated with central obesity ( p-value <  0.05). Hypercholesterolemia was the most dominant risk factor for central obesity ( p-value = 0.032; OR = 4.21; 95%CI = 1.131–15.667) adjusted for confounders.
Dietary n-9, n-6 and n-3 fatty acids modulate the oxidative stress in brain and liver of mice. Effect of trans fatty acids supplementation
Authors: Lavandera Jimena Verónica , Reus Verónica , Saín Juliana , Bernal Claudio Adrian , González Marcela Aida
Published: January 2021

BACKGROUND:

Arachidonic (20:4n-6) and docosahexaenoic (22:6n-3) acids interaction affects brain structure and function. Unsaturated fatty acids (UFAs) generate oxygenated lipid-derived eicosanoids which modulate the inflammatory response. The presence of trans fatty acids (TFA) in neuronal membranes can favor to generation of pro-oxidant metabolites.

OBJECTIVE:

This study evaluated the effect of supplementation with TFA to diets containing different proportions of FA, on the oxidative stress (OS) generation and the inflammatory response in mice brain and liver.

METHODS:

CF1 mice were fed diets (16 weeks) with olive (O), corn (C) or rapeseed (R) oils. OS parameters and gene expression of some key liver and brain enzymes involved in OS production were evaluated.

RESULTS:

In brain and liver, lipoperoxidation was increased and catalase activity was decreased in C. In brain, glutathione was diminished by supplementation with TFA in all diets and histological sections showed lymphocytes in O and C. In liver, decreased amount of lipid vacuoles and increased of cyclooxygenase-1 (COX-1) and PPARγ mRNA levels were observed in R and Rt. IL-1b and IL-6 in serum were augmented in O and Ot.

CONCLUSIONS:

Rapeseed oil could have protective effects on the development of OS and inflammation, while TFA supplementation did not showed marked effects on these parameters.
EFFECTIVENESS IN HUMANS OF AN ANTIVIRAL DRUG BASED ON CHOLINERGIC AGONISTS WITH SPECIFIC DESIGN AND ROUTE OF ADMINISTRATION AGAINST COVID-19 SYMPTOMS IN A GROUP OF INFECTED PATIENTS VS. CONTROL GROUP
Authors: Angulo Orlando , Restrepo Hector Fabio , León Higuera José Gabriel , Leon Garcia Mario , Mendive Fernando , Politi Matteo
Published: January 2021

Objective

To establish the therapeutic action of a nicotinic cholinergic agonist agent  (CA) composition in the symptoms in a group of human patients infected with SARS-CoV-2 vs. control group.

Methods

Basic Odds Ratio study (95% confidence interval) in 20 patients for intervention group and 15 patients for the control group. The evaluation in the groups was carried out during 15 days assessing the improvement or worsening of each symptom daily.

Results:

Cough, (OR = 0.5), Dyspnea (OR = 0.38), Muscle fatigue (OR = 0.69), Ageusia (OR = 0.27), Anosmia (OR = 0.21) General malaise (OR = 0.62), are less than 1 converting the use of the cholinergic agent in a protective and therapeutic factor showing therefore improvement of these symptoms, after its use, compared to the control group.

Conclusions:

The positive results obtained on the symptoms caused by COVID-19 using cholinergic agonists molecules by delivering a cholinergic agent (CA) composition with special oral and nasal route of administration and specific pharmacological design against COVID-19 in humans infected by SARS-CoV-2 versus the control group, endorse preliminary the nicotinic hypothesis on SARS-CoV-2 and the therapeutic potential of the use of these molecules. Larger multicentrical trials in humans are encouraged.
Reporte de la situación del crédito en Colombia - Diciembre de 2020
Authors:   Departamento de Estabilidad Financiera
Published: January 2021

Este reporte presenta los resultados de la Encuesta trimestral sobre la situación del crédito en Colombia, en la que participan los intermediarios financieros que realizan operaciones de crédito, como bancos, compañías de financiamiento (CFC) y cooperativas financieras (cooperativas). El objetivo de este informe es analizar la percepción que tienen las entidades sobre la oferta, la demanda y el acceso al crédito, los cambios en las políticas de asignación en el corto plazo y las expectativas que tienen los intermediarios financieros para el próximo trimestre. Además de presentar el comportamiento de las modificaciones y reestructuraciones de los créditos. El presente documento está compuesto por cinco secciones. La primera analiza el panorama general de la situación del crédito, centrándose en las percepciones que tienen los EC con respecto a su demanda y oferta. La segunda se enfoca en la situación sectorial. En la tercera sección se analizan en detalle los cambios en la oferta y las políticas de asignación de nuevos créditos. La cuarta presenta los principales resultados sobre modificaciones y reestructuración de préstamos. Finalmente, en la quinta sección se incluyen algunos comentarios generales que resumen la situación actual del crédito en Colombia.
PEMBERDAYAAN IBU-IBU PERUMAHAN DALAM PENGOLAHAN DAN PELUANG USAHA PUPUK KOMPOS PADA BANK SAMPAH SRI REJEKI
Authors: . Indawati , Anggraini Anggun , . Lindawati , Hanah Siti , Putri Wulandarai Cahyani
Published: January 2021

Tujuan dari Kegiatan Pengabdian Kepada Masyarakat adalah untuk melaksanakan salah satu Tri Dharma Perguruan Tinggi. Selain itu diharapkan dengan pengabdian kepada masyarakat tersebut keberadaan perguruan tinggi dapat memberikan kontribusi besar kepada pengembangan dan penerapan keilmuan kepada masyarakat.Kegiatandalampelaksanaanpengabdiankepadamasyarakatinidengan temapemberdayaan ibi-ibu perumahan dalam pengolahan dan peluang usaha pupuk kompos pada bank sampah sri rejeki..KegiatanpengabdianyangdilakukanolehdosenProdiS1Akuntansi UniversitasPamulangpadatanggal21 sampai dengan 23 Juni2020disambutbaikolehPara Ibu-ibu perumakasn dan pengurus Bank Sampah.Denganmenggunakanmetodepenyuluhandanpelatihansecara daringdenganmenggunakanaplikasiZoomMeeting,kegiataninisangatefektif dalambentukwaktudanpenerimaanmateri.Denganpenyuluhan dan pelatihan meraka merespon dengan baik terutama peserta merekapun sangat senang terutapa pada saat penyampaian materi mengenai pembuatan pupuk kompos walaupun bagi mereka ada yang baru pertama kali menggunaka Zoom Meeting intinya mereka sangat antusias dalam penyuluhan yang lakukan oleh para Dosen Unpam.Target luaran padaprogram ini adalah publikasi berbagi hasil darikegiatan inisecaranasionalagardapatdimanfaatkansebagailiteraturdalambidangnya sepertiartikelpadamediamasacetak/elektronik,danpeningkatanmutu keberadaan mitra.Kegiataninidiharapkandapatmemberikaninspirasidanmotivasibagi paradosen/penelitiselanjutnyayangakanmelakukankegiatanyangsama/sejenis danberkelanjutan,ilmuyangdiberikandapatbermanfaatbagimasyarakat, a
KIAT MANAJEMEN KEUANGAN DALAM MENGHADAPI KRISIS ATAU SITUASI YANG TIDAK TERDUGA SEPERTI PADA MASA PANDEMI COVID-19
Authors: Dumilah Ratna , . Munarsih , Indra Welly , Suwarno Ernawati , Putren Irenne
Published: January 2021

Tujuan dari Kegiatan Pengabdian Kepada Masyarakat adalah untuk melaksanakan salah satu Tri Dharma Perguruan Tinggi. Selain itu adalah untuk meningkatkan keterampilan berfikir para remaja di Rumah Pintar dalam kiat manajemen keuangan dalam menghadapi krisis atau situasi yang tidak terduga seperti pada masa pandemi Covid-19.. Metode dalam pelaksanaan kegiatan pengabdian kepada masyarakat yang digunakan adalah curah pendapat dan diskusi. Teknik dalam pelaksanaan kegiatan pengabdian kepada masyarakat yang digunakan adalah kerja kelompok dengan jumlah peserta 15 (lima belas) orang remaja peserta didik di Rumah Pintar Kota Tangerang Selatan. Adapun luaran dari kegiatan pengabdian kepada masyarakat ini berupa publikasi artikel pada media massa cetak dan online dan satu artikel ilmiah yang dipublikasikan melalui Jurnal Lokabmas PKM Universitas Pamulang, serta peningkatan pengetahuan, pemahaman dan keterampilan para remaja peserta didik di Rumah Pintar Tangerang Selatan tentang kiat manajemen keuangan dalam menghadapi krisis atau situasi yang tidak terduga seperti pada masa pandemi Covid- 19.
DA’WAH IN THE QUR’AN (THEMATIC TAFSIR)
Authors: Nirwana Andri
Published: January 2021

Submission of good information to others is a human dedication to the universe. All human beings created have a vision and mission of life, namely devotion to the Creator by doing good for all nature and everything, depending on the profession and the role of each. The problem in this article is that De Jure all Muslims are obliged to improve this nature with da'wah, but De Facto found very few Muslims who preach according to their respective professional roles and find a lot of challenges in delivering da'wah so as to make Muslims less concerned about da'wah efforts in this universe. Against this problem, researchers used the Hermeunetic method that focused on the text language of the Qur'an and its interpretation to increase the motivation of Muslims in carrying out da'wah activities according to their respective professions for the good of the world. The results of this study were found in the Qur'an to find a lot of motivation for preachers to gain success in their missionary endeavors in the world and in the hereafter. The benefits of the results of this study are to provide motivation for preachers to always be istiqamah in carrying out their da'wah efforts, for the glory of Islam on this earth.
MARTIAL ART AUGMENTED REALITY BOOK (ARBOOK) SEBAGAI MEDIA PEMBELAJARAN SENI BELADIRI NUSANTARA PENCAK SILAT
Authors: Sucipto Adi , Adrian Qadli Jafar , Kencono Muhammad Agie
Published: January 2021

Pencak silat is one of the archipelago cultures that must be preserved. Many people want to learn silat. Fighters need a good memory in practicing, to remember every silat movement. This must be done repeatedly to understand. For independent study, the only media available are manual books and no teaching aids. This causes the fighter to experience difficulties. Based on these problems, a medium is needed as a prop that can help fighters remember silat movements. To solve this problem, this research will make a learning media using augmented reality-based silat movement guide book (ARBook). This learning media serves as a guide to basic silat movements in the form of Android-based 3D animation visualization, with the aim of being a martial arts props. This makes this method better than the conventional manual method. Based on the results of alpha testing using a black box. So from these data, it can be seen that the 3D AR pencak silat motion application runs and in accordance with the specified functionality are included in the feasible category. In Beta testing that uses the acceptance method, 86% of respondents agree that the AR 3D Silat Motion Application is very useful, then 87% of respondents agree that it is easy to use, then 84% of respondents agree that the animated content is presented, and 79% of respondents are interested in using the Motion Application AR 3D Silat. Suppose calculated to have an average value of 84%. So it can be concluded that the value of 84% is included in the "Very Appropriate" category. Broadly speaking, Alpha and Beta testing shows that this application is considered very feasible and usable.
Demanda, producción y circulación de bienes agropecuarios en la región Río de la Plata (siglo XVIII) : balance y perspectivas de investigación.
Authors: Biangardi Nicolás
Published: January 2021

Durante los últimos treinta años se han realizado numerosas investigaciones que permiten brindar un panorama completo de la producción agropecuaria que existía en las campañas rioplatenses durante el siglo XVIII. De estos trabajos surge la imagen de una producción agropecuaria diversificada, llevada a cabo por unidades de distinto tamaño y enfocada al abastecimiento de alimentos para el mercado interno, representado especialmente por las ciudades portuarias. Sin embargo, estudios recientes han destacado la importancia de la producción de cueros para la exportación, revelando la existencia de un segmento diferente de la economía agraria, cuya unidad productiva era la vaquería corambrera y no la estancia de rodeo. Investigar la producción de cueros para la exportación requiere la utilización de nuevas fuentes y una nueva estrategia metodológica. Una de las vías posibles es el estudio de la circulación de los bienes pecuarios al interior de la región. Al respecto se presentan los resultados obtenidos para los flujos que confluían en Montevideo en las últimas dos décadas del siglo XVIII y se analizan las perspectivas de investigación para otros períodos y circuitos dentro la región, como los que se orientaban hacia la ciudad de Buenos Aires.
“Mompox : el Síndico Procurador, Francisco de la Bárcena Posada, pide sanción para los desmanes de los bogas, que hacen el tráfico fluvial del Magdalena, de Honda a la nominada villa, tocando en Zaragoza, Cáceres y otros puertos. Años de 1805”
Authors: Vanegas Beltrán Muriel , Vargas Hernández Adineth
Published: January 2021

Los bogas eran una grupo de trabajadores ligados a la historia del río Magdalena y sus afluentes. Este río era la arteria fluvial que vinculaba al mundo andino con los puertos del Caribe neogranadino y colombiano, y al mundo exterior con los mercados andinos. Objeto de la literatura, 4 de cuadros de costumbres, de crónicas de viajeros nacionales y extranjeros, de noticias de periódicos y de informes oficiales, tanto del período colonial como del siglo XIX, durante varios siglos el boga fue ese otro, el sujeto-objeto de las primeras relaciones que entablaron funcionarios, intelectuales y miembros de las elites con el mundo y las sociedades fluviales de los ríos y caños que comunicaban al interior andino con los puertos del Caribe neogranadino y a los extranjeros que se movilizaban por esos ríos con destino al interior del país. Y exceptuando a uno que otro viajero (por ejemplo el socialista utópico francés Elysee Reclus) las imágenes que se construyeron sobre sus labores y sus comportamientos para nada favorecen a los bogas, a tal punto, que, hasta hace pocos años, en Barranquilla, principal puerto fluvial sobre el río Magdalena y epicentro de la navegación fluvial (tanto impelida por fuerza humana como por máquinas de vapor), era usual que para calificar a una persona por sus malos hábitos (vocabulario, además, formas en la mesa, etc.) se le dijera, “pareces un boga”. El término fue cayendo en desuso, hasta el punto que el padre Pedro María Revollo no lo incluyó en su diccionario de Costeñismos Colombianos, publicado en 1940.
SIMULASI METODE BACK PROPAGATION DALAM ANALISIS HASIL PENGARUH BIJI KARET SUBSTITUSI AGREGAT KASAR TERHADAP KUAT TEKAN BETON
Authors: Firdausa Fadhila , Marpaung Raja , Artini Sri Rezki
Published: January 2021

Biji karet merupakan salah satu limbah alam yang jumlahnya sangat banyak di Sumatera Selatan.Oleh karena itu diperlukan proses pengolahan limbah biji karet agar dapat mempunyai nilai guna dan nilai ekonomi. Back propagation merupakan salah satu metode dalam penggunaan jaringan syaraf tiruan.  Data yang dihasilkan berdasarkan data yang telah diinputkan dengan target capaian sebagai data output. Data input yang digunakan didapat dari hasil pengujian laboratorium kuat tekan beton dengan substitusi biji karet pada agregat kasar sebesar 5%, 10%, 15% dan 20% selama umur beton 7 hari, 14 hari dan 28 hari. Hasil pengujian laboratorium menunjukkan hasil bahwa semakin besar komposisi penggunaan biji karet maka kuat tekan beton semakin menurun. Campuran biji karet 5% memiliki hasil kuat tekan terbesar sebesar 19,33 Mpa. Hasil kuat tekan beton yang didapat dari hasil pengujian kemudian digunakan sebagai data input pada proses training dengan metode back propagation. Simulasi metode back propagation mampu memprediksi hasil pengujian dengan eror terkecil sebesar 3,5 % dan eror terbesar 47%. Metode back propagation dinilai mampu memprediksi hasil kuat tekan beton karena eror untuk prediksi kurang dari 50%. Hal ini dikarenakan data input yang dimasukkan sangat sedikit. Oleh karena itu diperlukan penelitian lanjutan untuk mendapatkan hasil yang maksimal.
About Local Rules of Law of Modern Russian Legislation
Authors: Vladimir Valentinovich Kozhevnikov
Published: January 2021

This scientific article is devoted to the problems of local norms of modern Russian law: its features, necessity and classification. Attention is drawn to those local rules of law that must necessarily be in enterprises. It is noted that the scope of the former is not limited only to the scope of labor law.
Anion Binding Studies of Urea and Thiourea Functionalized Molecular Clefts
Authors: Manna Utsab , Portis Bobby , Egboluche Tochukwu K. , Nafis Muhammad , Hossain Md. Alamgir
Published: January 2021

Two rationally designed 4-nitrophenyl-based molecular clefts functionalized with thiourea (L1) and urea (L2) have been synthesized and studied for a variety of anions by UV-Vis and colorimetric techniques in DMSO. Results from the binding studies suggest that both L1 and L2 bind halides showing the order: fluoride > chloride > bromide > iodide; and oxoanions showing the order: dihydrogen phosphate > hydrogen sulfate > nitrate > perchlorate. Each receptor has been shown to form a 1:1 complex with an anion via hydrogen bonding interactions, displaying distinct color change for fluoride and dihydrogen phosphate in solution. As compared to the urea-based receptor L2, the thiourea-based receptor L1 exhibits stronger affinity for anions due the presence of more acidic thiourea functional groups.
Oral Microbiome Analysis in Prospective Genome Cohort Studies of the Tohoku Medical Megabank Project
Authors: Saito Sakae , Aoki Yuichi , Tamahara Toru , Goto Maki , Matsui Hiroyuki , Kawashima Junko , Danjoh Inaho , Hozawa Atsushi , Kuriyama Shinichi , Suzuki Yoichi , Fuse Nobuo , Kure Shigeo , Yamashita Riu , Tanabe Osamu , Minegishi Naoko , Kinoshita Kengo , Tsuboi Akito , Shimizu Ritsuko , Yamamoto Masayuki
Published: January 2021

A baseline oral microbiome study of the Tohoku Medical Megabank Organization (TMM) was planned to characterize the profile of the oral microbiome in the Japanese population. The study also aimed to clarify risk factors for multifactorial diseases by integrated analysis of the oral microbiome and host genome/omics information. From 2013 to 2016, we collected three types of oral biospecimens, saliva, supragingival plaque, and tongue swab, from a total of 25,101 participants who had a dental examination in TMM. In this study, we used two independent cohorts; the Community-Based Cohort and Birth and Three-Generation Cohort as discovery and validation cohorts, respectively, and we selected participants examined by a single dentist. We found through the 16S ribosomal RNA gene sequencing analysis of 834 participants of the Community-Based Cohort Study that there are differences in the microbial composition and community structure between saliva and plaque. The species diversities in both saliva and plaque were increased in correlation with the severity of periodontal disease. These results were nicely reproduced in the analysis of 455 participants of the Birth and Three-Generation Cohort Study. In addition, strong positive and negative associations of microbial taxa in both plaque and saliva with periodontitis-associated biofilm formation were detected by co-occurrence network analysis. The classes Actinobacteria and Bacilli, including oral health-associated bacterial species, showed a positive correlation in saliva. These results revealed differences in microbial composition and community structure between saliva and plaque and a correlation between microbial species and the severity of periodontal disease. We expect that the large database of the oral microbiome in the TMM biobank will help in the discovery of novel targets for the treatment and prevention of oral diseases, as well as for the discovery of therapeutic and/or preventive targets of systemic diseases.
Algorithmic Accountability in Context. Socio-Technical Perspectives on Structural Causal Models
Authors: Poechhacker Nikolaus , Kacianka Severin
Published: January 2021

The increasing use of automated decision making (ADM) and machine learning sparked an ongoing discussion about algorithmic accountability. Within computer science, a new form of producing accountability has been discussed recently: causality as an expression of algorithmic accountability, formalized using structural causal models (SCMs). However, causality itself is a concept that needs further exploration. Therefore, in this contribution we confront ideas of SCMs with insights from social theory, more explicitly pragmatism, and argue that formal expressions of causality must always be seen in the context of the social system in which they are applied. This results in the formulation of further research questions and directions.
Measuring Global Signals in the Potential Gradient at High Latitude Sites
Authors: Tacza José , Nicoll Keri A. , Macotela Edith L. , Kubicki Marek , Odzimek Anna , Manninen Jyrki
Published: January 2021

Previous research has shown that the study of the global electrical circuit can be relevant to climate change studies, and this can be done through measurements of the potential gradient near the surface in fair weather conditions. However, potential gradient measurements can be highly variable due to different local effects (e.g., pollution, convective processes). In order to try to minimize these effects, potential gradient measurements can be performed at remote locations where anthropogenic influences are small. In this work we present potential gradient measurements from five stations at high latitudes in the Southern and Northern Hemisphere. This is the first description of new datasets from Halley, Antarctica; and Sodankyla, Finland. The effect of the polar cap ionospheric potential can be significant at some polar stations and detailed analysis performed here demonstrates a negligible effect on the surface potential gradient at Halley and Sodankyla. New criteria for determination of fair weather conditions at snow covered sites is also reported, demonstrating that wind speeds as low as 3 m/s can loft snow particles, and that the fetch of the measurement site is an important factor in determining this threshold wind speed. Daily and seasonal analysis of the potential gradient in fair weather conditions shows great agreement with the “universal” Carnegie curve of the global electric circuit, particularly at Halley. This demonstrates that high latitude sites, at which the magnetic and solar influences can be present, can also provide globally representative measurement sites for study of the global electric circuit.
Hydroclimate Variability Influenced Social Interaction in the Prehistoric American Southwest
Authors: Gauthier Nicolas
Published: January 2021

When droughts and floods struck ancient agrarian societies, complex networks of exchange and interaction channeled resources into affected settlements and migrant flows away from them. Did these networks evolve in part to connect populations living in differing climate regimes? Here, I examine this relationship with a long-term archaeological case study in the pre-Hispanic North American Southwest, analyzing 4.3 million artifacts from a 250-year period at nearly 500 archaeological sites. I use these artifacts to estimate how the flow of social information changed over time, and to measure how the intensity of social interaction between sites varied as a function of distance and several regional drought patterns. Social interaction decayed with distance, but ties between sites in differing oceanic and continental climate regimes were often stronger than expected by distance alone. Accounting for these different regional drivers of local climate variability will be crucial for understanding the social impacts of droughts and floods in the past and present.
Quantitative Analysis of the Debris Flow Societal Risk to People Inside Buildings at Different Times: A Case Study of Luomo Village, Sichuan, Southwest China
Authors: Wei Li , Hu Kaiheng , Liu Jin
Published: January 2021

Debris flows, which cause massive economic losses and tragic losses of life every year, represent serious threats to settlements in mountainous areas. Most deaths caused by debris flows in China occur in buildings, and the death toll is strongly dependent on the time people spend indoors. However, the role of time spent indoors in the quantitative analysis of debris flow risk has been studied only scarcely. We chose Luomo village in Sichuan atop a debris flow alluvial fan to study the influence of the temporal variation in the presence of people inside buildings on the societal risk. Two types of days (holidays vs. workdays) and two diurnal periods (daytime vs. nighttime) were considered in our risk evaluation model. A questionnaire survey was conducted for each family in the village, and the probability of the temporal impact of a debris flow on every household was calculated based on the average amount of time each member spent in the house. The debris flow hazard was simulated with FLO-2D to obtain the debris flow intensity and run-out map with return periods of 2, 10, 50, and 100 years. The risk to buildings and societal risk to residents were calculated quantitatively based on the probabilities of debris flow occurrence, the probability of the spatial impact, and the vulnerabilities of buildings and people. The results indicated that societal risk on holidays is always higher than that on weekdays, and societal risk at night is also much higher than that in the daytime, suggesting that the risk to life on holidays and at night is an important consideration. The proposed method permits us to obtain estimates of the probable economic losses and societal risk to people by debris flows in rural settlements and provides a basis for decision-making in the planning of mitigation countermeasures.