bluuebunny/crossref_metadata_2025 huggingface dataset:
A survey on t-core partitions
Authors: Cho Hyunsoo , Kim Byungchan , Nam Hayan , Sohn Jaebum
Published: January 2022

$t$-core partitions have played important roles in the theory of partitions and related areas. In this survey, we briefly summarize interesting and important results on $t$-cores from classical results like how to obtain a generating function to recent results like simultaneous cores. Since there have been numerous studies on $t$-cores, it is infeasible to survey all the interesting results. Thus, we mainly focus on the roles of $t$-cores in number theoretic aspects of partition theory. This includes the modularity of $t$-core partition generating functions, the existence of $t$-core partitions, asymptotic formulas and arithmetic properties of $t$-core partitions, and combinatorial and number theoretic aspects of simultaneous core partitions. We also explain some applications of $t$-core partitions, which include relations between core partitions and self-conjugate core partitions, a $t$-core crank explaining Ramanujan's partition congruences, and relations with class numbers.
Quantum q-series identities
Authors: Lovejoy Jeremy
Published: January 2022

As analytic statements, classical $q$-series identities are equalities between power series for $|q|<1$. This paper concerns a different kind of identity, which we call a quantum $q$-series identity. By a quantum $q$-series identity we mean an identity which does not hold as an equality between power series inside the unit disk in the classical sense, but does hold on a dense subset of the boundary -- namely, at roots of unity. Prototypical examples were given over thirty years ago by Cohen and more recently by Bryson-Ono-Pitman-Rhoades and Folsom-Ki-Vu-Yang. We show how these and numerous other quantum $q$-series identities can all be easily deduced from one simple classical $q$-series transformation. We then use other results from the theory of $q$-hypergeometric series to find many more such identities. Some of these involve Ramanujan's false theta functions and/or mock theta functions.
Truncated Series with Nonnegative Coefficients from the Jacobi Triple Product
Authors: Wang Liuquan
Published: January 2022

Andrews and Merca investigated a truncated version of Euler's pentagonal number theorem and showed that the coefficients of the truncated series are nonnegative. They also considered the truncated series arising from Jacobi's triple product identity, and they conjectured that its coefficients are nonnegative. This conjecture was posed by Guo and Zeng independently and confirmed by Mao and Yee using different approaches. In this paper, we provide a new combinatorial proof of their nonnegativity result related to Euler's pentagonal number theorem. Meanwhile, we find an analogous result for a truncated series arising from Jacobi's triple product identity in a different manner.
Similar Pair-free Partial Label Metric Learning
Authors: Li Houjie , Yang Min , Zhou Yu , Zheng Ruirui , Liu Wenpeng , He Jianjun
Published: January 2022

Partial label learning is a new weak- ly supervised learning framework. In this frame- work, the real category label of a training sample is usually concealed in a set of candidate labels, which will lead to lower accuracy of learning al- gorithms compared with traditional strong super- vised cases. Recently, it has been found that met- ric learning technology can be used to improve the accuracy of partial label learning algorithm- s. However, because it is difficult to ascertain similar pairs from training samples, at present there are few metric learning algorithms for par- tial label learning framework. In view of this, this paper proposes a similar pair-free partial la- bel metric learning algorithm. The main idea of the algorithm is to define two probability distri- butions on the training samples, i.e., the proba- bility distribution determined by the distance of sample pairs and the probability distribution de- termined by the similarity of candidate label set of sample pairs, and then the metric matrix is ob- tained via minimizing the KL divergence of the two probability distributions. The experimental results on several real-world partial label dataset- s show that the proposed algorithm can improve the accuracy of k-nearest neighbor partial label learning algorithm (PL-KNN) better than the ex- isting partial label metric learning algorithms, up to 8 percentage points.
A Connection Access Mechanism of Distributed Network based on Block Chain
Authors: Zhou Xianfei , Cheng Hongfang , Chen Fulong
Published: January 2022

Cross-border payment optimization technology based on block chain has become a hot spot in the industry. The traditional method mainly includes the block feature detection method, the fuzzy access method, the adaptive scheduling method, which perform related feature extraction and quantitative regression analysis on the collected distributed network connection access data, and combine the fuzzy clustering method to optimize the data access design, and realize the group detection and identification of data in the block chain. However, the traditional method has a large computational overhead for distributed network connection access, and the packet detection capability is not good. This paper constructs a statistical sequence model of adaptive connection access data to extract the descriptive statistical features of the distributed network block chain adaptive connection access data similarity. The performance of the strategy retrieval efficiency in the experiment is tested based on the strategy management method. The experiment performs matching query tests on the test sets of different query sizes. The different parameters for error rate and search delay test are set to evaluate the impact of different parameters on retrieval performance. The calculation method of single delay is the total delay or the total number of matches. The optimization effect is mainly measured by the retrieval delay of the strategy in the strategy management contract; the smaller the delay, the higher the execution efficiency, and the better the retrieval optimization effect.
A Data Sharing and Integration Technology for Heterogeneous Databases
Authors: Zhu Yongjie , Li Youcheng
Published: January 2022

For a long time, there are a large number of heterogeneous databases on the network, and their heterogeneity is manifested in many aspects. With the development of enterprise informatization and e-government, the system database of each department constitutes a real heterogeneous database framework with its independence and autonomy in the network system of many different functional departments. This paper will design information sharing between heterogeneous databases of network database system of many similar functional departments by using XML data model. The solution of data sharing between heterogeneous databases can accelerate the integration of information systems with departments and businesses as the core among enterprises, form a broader and more efficient organic whole, improve the speed of business processing, broaden business coverage, and strengthen cooperation and exchange among enterprises. In addition, heterogeneous database sharing can avoid the waste of data resources caused by the heterogeneity of database, and promote the availability rate of data resources. Due to the advantages of XML data model, the system has good scalability.
Demand Forecast on the Orchard Cold Chain Logistics in Hunan Province Based on Cognitive Neuroscience
Authors: Fu Ying , Zeng Xiangpeng , Li Yihua , Wen Yiming , Wen Xiaowei
Published: January 2022

How to scientifically and effectively predict the cold chain logistics demand and provide basis for decision making has always been the focus of forestry and orchard logistics research. From the learning environment of neurons, cognitive neuroscience provides a new perspective for forecasting the demand for cold chain logistics. This paper uses the cognitive neuroscience theory to construct a BP neural network model containing two hidden layers to predict the cold chain logistics demand of the forestry and orchard industry in Hunan province in 2017-2021. Suggestions are then given from the aspects of cold chain logistics construction, transportation infrastructure construction, government policy, enterprise and industry according to the prediction results, thus, providing a theoretical basis for the planning of the cold chain logistics system of Hunan province in a certain period of time, as well as references for the development of cold chain logistics in other parts of the country.
Partial Label Learning Based on Fully Connected Deep Neural Network
Authors: Li Houjie , Wu Lei , He Jianjun , Zheng Ruirui , Zhou Yu , Qiao Shuang
Published: January 2022

The ambiguity of training samples in the partial label learning framework makes it difficult for us to develop learning algorithms and most of the existing algorithms are proposed based on the traditional shallow machine learn- ing models, such as decision tree, support vector machine, and Gaussian process model. Deep neu- ral networks have demonstrated excellent perfor- mance in many application fields, but currently it is rarely used for partial label learning frame- work. This study proposes a new partial label learning algorithm based on a fully connected deep neural network, in which the relationship between the candidate labels and the ground- truth label of each training sample is established by defining three new loss functions, and a regu- larization term is added to prevent overfitting. The experimental results on the controlled U- CI datasets and real-world partial label datasets reveal that the proposed algorithm can achieve higher classification accuracy than the state-of- the-art partial label learning algorithms.
Design of Intelligent Voice Acquisition System Based on Cloud Resource Scheduling Model
Authors: Cui Zhiwu , Zhou Ke , Chen Jian
Published: January 2022

The existing acquisition system has the problem of imperfect communication link, which leads to the weak signal receiving strength of the system. This paper designs an intelligent voice acquisition system based on cloud resource scheduling model. Hardware: select S3C6410 as hardware platform, optimize audio access port, connect IIS serial bus and other components; Software part: extract the frequency agility characteristics of intelligent voice signal, predict the future sample value, establish the communication link with cloud resource scheduling model, obtain the communication rate information, code and generate digital voice data, set the transmission function of intelligent acquisition system with overlay algorithm. Experimental results: the average signal receiving strength of the designed system and the other two intelligent voice intelligent acquisition systems is 106.40 dBm, 91.33 dBm and 90.23 dBm, which proves that the intelligent acquisition system integrated with cloud resource scheduling model has higher use value.
A CNN-ABiGRU method for Gearbox Fault Diagnosis
Authors: Zheng Xiaoyang , Ye Zeyu , Wu Jinliang
Published: January 2022

As a key part of modern industrial machinery, there has been a lot of fault diagnosis methods for gearbox. However, traditional fault diagnosis methods suffer from dependence on prior knowledge. This paper proposed an end-to-end method based on convolutional neural network (CNN), Bidirectional gated recurrent unit (BiGRU), and Attention Mechanism. Among them, the application of BiGRU not only made perfect use of the time sequence of signal, but also saved computing resources more than the same type of networks because of the low amount of calculation. In order to verify the effectiveness and generalization performance of the proposed method, experiments are carried out on two datasets, and the accuracy is calculated by the ten-fold crossvalidation. Compared with the existing fault diagnosis methods, the experimental results show that the proposed model has higher accuracy.
Bearing Intelligent Fault Diagnosis Based on Convolutional Neural Networks
Authors: An Jing , An Peng
Published: January 2022

The traditional intelligent identification method requires a complex feature extraction process and much diagnosis experience, considering the characteristics of one dimension of bearing vibration signals, a new method of intelligent fault diagnosis based on 1-dimensional convolutional neural network is presented. This method automatically extracts features from frequency domain signals and avoids artificial feature selection and feature extraction. The proposed method is validated on bearing benchmark datasets, these datasets are collected in different fault location, different health conditions and different operating conditions. The result shows that the proposed method can not only adaptively obtain representative fault features from the datasets, but also achieve higher diagnosis accuracy than the existing methods.
Intrusion Detection Based on Generative Adversarial Network of Reinforcement Learning Strategy for Wireless Sensor Networks
Authors: Tu Jun , Ogola Willies , Xu Dehong , Xie Wei
Published: January 2022

Due to the wireless nature of wireless sensor networks (WSN), the network can be deployed in most of the unattended environment, which makes the networks more vulnerable for attackers who may listen to the traffic and inject their own nodes in the sensor network. In our work, we research on a novel machine learning algorithm on intrusion detection based on reinforcement learning (RL) strategy using generative adversarial network (GAN) for WSN which can automatically detect intrusion or malicious attacks into the network. We combine Actor-Critic Algorithm in RL with GAN in a simulated WSN. The GAN is employed as part of RL environment to generate fake data with possible attacks, which is similar to the real data generated by the sensor networks. Its main aim is to confuse the adversarial network into differentiating between the real and fake data with possible attacks. The results that is from the experiments are based on environment of GAN and Network Simulator 3 (NS3) illustrate that Actor-Critic&GAN algorithm enhances security of the simulated WSN by protecting the networks data against adversaries and improves on the accuracy of the detection.
Evaluation of faculty inter-variability OSCE grade scoring on overall student performance in a laboratory course
Authors: Weaver Salome Bwayo , Daftary Monika , Wingate La'Marcus , Turner Malaika
Published: January 2022

Introduction: Objective structured clinical examinations (OSCEs) are considered the gold standard for evaluating pharmacy students’ clinical skills due to their reliability and validity.  Aim: The purpose of this study was to determine whether faculty inter-variability in OSCE grading had a significant impact on a student’s overall performance.  Methods: A retrospective analysis was conducted using data from two cohorts of third-year pharmacy students. Descriptive statistics, simple linear regression, and multivariate linear regression analyses were conducted.  Results: There were 120 students that participated in the OSCE with a mean score of 66.7%.    Higher scores in the Integrated Therapeutics (IT) 2 lecture series and the IT 2 lab course corresponded to better OSCE scores.  Out of 17 evaluators, six were found to rate students significantly lower and one was found to rate students significantly higher in comparison to a reference evaluator who evaluated students closest to the overall mean.  Conclusion: It is likely that standardised grading, and possibly additional training, may be needed to ensure a fair and appropriate evaluation of OSCE performance.
Multi-inquiry hybrid e-learning: Instructor-learner experiences
Authors: Oji Valerie , Dillion Katherine , Weaver Salome
Published: January 2022

Background: Hybrid teaching methodologies involve the purposeful combination of traditional teaching with technology advances. Despite some challenges, they have gained popularity recently, especially during the coronavirus pandemic. This study evaluated hybrid e-learning with multiple inquiries involving students’ receptiveness, preferences, behaviours and instructor observations. Method: The methodology involved a mixed-method approach with a qualitative observational case study, surveys and interviews for problem-based learning alternatives to traditional lectures. Instruction included: 1) Assigned primary literature reading with study questions to be completed before class; 2) Out-of-class online video-clips with visual, practical application (i.e. lithium and non-lithium induced tremor assessment) and online discussion in CANVAS Learning Management System; 3) Start-of-class quiz in ExamSoft, in-class team-based application questions with instructor-led discussion; 4) Out-of-class team final exam review assignment in CANVAS. Results: Qualitative themes were student engagement, flexibility, preferences, academic and non-academic stressors, etiquette, and defining responsibility for academic success. The majority of students preferred primary literature review, video clips, followed by online CANVAS discussions. Written assignments were the least desirable. Conclusion: These experiences are useful for qualitative evaluation of teaching and learning methods.
Nation-state and Islamic Government Theoretical and Factual studies
Authors: Muhammad Ikram ul Haq  , Dr. Aqeel Ahmed
Published: January 2022

The concept of nation state presented by the West at its core is the idea of humanism. In which man was given a central position and freed from the concept of God. Denied everything that was not observed. Therefore, man expelled religion in all matters of life. The logical consequence of which was that the head of human unity was scattered. The slogan of nationalism was used to unite man in the struggle for unity. Which eventually manifested itself in the formation of nation-states the western colonial powers ruled the world in the form of the United Nations change the way of life in the Western World and especially in Muslim society. Which has a profound effect on the Islamic system of government. Islam envisioned divine sovereignty in the system of government. Today the Muslim rulers have forgotten it, and the Western system considered its survival in democracy. The article explains what the core concern of the nation state and Islamic Government is and whether it is based on its own ideas in modern times has been considered.
Integrating the multimedia approach in modern educational technologies
Authors:   Konstantin Preslavsky University of Shumen, Ginchev Nikolay , Kordov Krasimir
Published: January 2022

This article reflects the positive effect of integrating multimedia learning content in students’ education. Multimedia lessons are developed and presented, that increase students' interest in the learning material and increase their knowledge and competencies.
The possibilities of own blocks in the scratch educational environment
Authors:   Konstantin Preslavsky University of Shumen, Harizanov Krasimir
Published: January 2022

In the present study, the main possibilities of own block in Scratch block environment are considered. An example implementation is proposed, which can be used in the curriculum of the discipline "Computer Modeling and Information Technology". Some peculiarities related to the application of own blocks in the creation of animations, algorithms and educational projects in the Scratch block environment are presented.
Practical guidelines in accounting or how commercial books were "kept" in the early XX century
Authors:   Konstantin Preslavsky University of Shumen, Stoyanova Slavena
Published: January 2022

As a reflection of the economic reality, accounting, through its specific methods, provides an opportunity to obtain information about the condition and movement of specific objects, an integral part of the property of the enterprise. The information received from the accounting, serves as a basis for outlining guidelines for the development of the economically separate reporting unit. This study presents the importance of accounting manuals. It is considered that through them the accounting activity is presented, described, substantiated and explained.
Production of Energy from Water Flow Output in Fish Tank
Authors: Muniandy Sivasambu  , Nik Aziz bin Nik Ali
Published: January 2022

Nowadays, the world is confronting the increasing energy demand, reduction of emissions and security of energy supply. The high energy demand leads to a severe problem, and we need to reduce the usage of non-renewable energy to avoid adverse climate change. Thus, renewable energy is an important role obtained from the natural environment and can be replenished naturally from those sources without environmental degradation. Water energy is one of the most promising renewable energy sources today, especially in the aquaculture industry. Hydropower played a vital role in producing large scale power and electricity. This study was set up to determine the electrical energy output depending on the different sizes and shapes of tanks. It is also to measure the water flow rate based on different size and shape tanks. Besides, the Pelton type of water turbine generator micro-hydroelectric DC 12V output was used in this experiment. Two types of tanks (rectangular and circular) with three different sizes (0.5 ton, 1.0 ton and 2.0 ton) were tested to measure high value of output energy (V) and flow rate (m3/s) by using clear water and wastewater. The result significantly shows that the circular tank had a higher water flow rate and output energy than the rectangular tank due to higher gravitational force, where the outlet placed in the middle and edge of the tank, respectively. The finding of this study benefits the aquaculture industry, where it introduced an alternative and cheaper method of reusing wastewater, reducing the cost maintenances and enhancing the profit of the business.
Estrategias de atención simultánea y diferenciada en las instituciones educativas multigrado rural
Authors: Benites Guevara Julio
Published: January 2022

El presente artículo describe la importancia del uso de las Estrategias de atención simultánea y diferenciada en las Instituciones Educativas con aulas multigrado de la zona rural, como una alternativa al logro de aprendizajes significativos y de calidad promoviendo la autonomía en los estudiantes a partir de un trabajo colaborativo y cooperativo en los espacios educativos. Uno de los objetivos de la Ley General de Educación reconoce a los estudiantes como persona, sujeto de derecho y responsabilidades, aceptando sus diferencias, sus múltiples posibilidades de participar y aportar con protagonismo creciente en los procesos sociales de la educación y comunidad; valorar la diversidad y la experiencia sociocultural, afectiva y espiritual, enriqueciéndola con el conocimiento de la cultura universal y la realidad multiétnica, plurilingüe y multicultural del país; es por ello que se debe implementar estrategias de atención diversificada, en función de los ritmos y niveles de aprendizaje, la pluriculturalidad lingüística y cultural, que enriquezcan el proceso educativo, fortaleciendo relaciones de cooperación y corresponsabilidad entre escuela, familia y comunidad para mejorar la educación y la calidad de vida de los estudiantes; lo cual constituye un reto para los docentes, el evitar la fragmentación de la enseñanza, atendiendo a los estudiantes según sus propias necesidades y características.

Se realizó una revisión documental sobre el funcionamiento de las aulas multigrado en la escuela rural, destacando los beneficios del planteamiento de estas estrategias que fortalecen y hacen posible las relaciones interpersonales, así como facilitan la integración de los espacios y su organización, potenciando una educación y atención más individualizada que beneficie los procesos afectivos y cognitivos.
Passenger Capacity and Safety: Investigating the Likelihood of COVID-19 Transmission in Public Transport Modes within Makurdi Metropolis
Authors: Adeke Paul T. , Gbagir Kwaghgba , Tyogo Manasseh
Published: January 2022

Following its outbreak in the Wuhan region of China, the spread of Corona Virus (COVID-19) across the world has threatened national and local authorities or policy makers and transport experts due to its effects on human mobility. This study investigated the transmissibility of COVID-19 among passengers in transit using public transport modes in Makurdi metropolis. Analytical simulation using stochastic search method called Genetic Algorithm (GA) technique was used to simulate the transmissibility of the infectious disease within enclosed spaces of transport modes based on layouts and capacities. The sum of arithmetic sequence was used as the objective function of individual arrivals in each mode, it was minimised to obtain optimum safe capacity. Capacities of public transport modes were subdivided into; Normal, Above Normal and Below Normal (50% of Normal). Findings of the experiments indicated that optimum safe capacity of minibuses, taxies, tricycles and motorcycles used in Makurdi metropolis were at 8, 3, 2 and 1 person respectively. This occurred at 50% capacity which agreed with findings of previous studies. An efficient and sustainable public transport policy framework was designed for policy makers and transport experts to help achieve safe travel and healthier living in Makurdi metropolis during the COVID-19 era. Keywords— COVID-19 transmission, Makurdi Metropolis, Modal Split, Mode capacity, Passenger Safety, Public Transport.
Monetary Policy between Mexico, United States of America, and Canada
Authors: Valencia Alberto Merced Castro
Published: January 2022

This article examines the evolution of the monetary policy of the economies that make up the North American Free Trade Agreement ( NAFTA ), for the period 1980-2015. Based on an empirical analysis, which includes the scrutiny of stylized facts of the monetary variables of Canada, the United States and Mexico, causality tests Granger quality and error correction models ( VEC ), it is concluded that, in parallel to the trade integration process of these countries, the monetary side of NAFTA exhibits divergences and convergences that imply an asymmetric integration of the economy Mexican with the United States and, to a lesser extent, with Canada.
Experiencias obtenidas con la certificación google educator level 1
Authors: Angel Félix Molina , Reducindo Yamel Mendoza , Hilario Valentin Alvarez , Bernal Iván Gallardo
Published: January 2022

En el presente trabajo se promueve que los estudiantes y profesores de cualquier carrera universitaria de la Universidad Autónoma de Guerrero presenten y aprueben la Certificación de Google Educator Level 1, para asegurar el uso y aplicación correcta de las tecnologías informáticas y de comunicación utilizadas en el aula digital. Aquí se describen las funciones principales de las herramientas que abarca este programa y la experiencia adquirida en la realización del examen para lograr la certificación de este nivel.
Factores que motivan a las mujeres en puerperio inmediato a rechazar los métodos anticonceptivos en un hospital de Veracruz México
Authors: Ovando Román Vázquez , Lavariega Guadalupe De la Rosa , Mora Gloria López , Cordero Ernestina Méndez , Hernández Gloria Enriqueta Reyes , Martínez Jorge Arturo Alvarado , Gutiérrez Francisco Jonathan Ramírez , Alarcón Cristhián Raúl Ochoa
Published: January 2022

Introducción: Los métodos anticonceptivos son la mejor herramienta para tener el control de la salud sexual y reproductiva porque previenen embarazos no deseados, así como infecciones de transmisión sexual, por lo tanto, el rechazo a estos podría representar posibles problemas sexuales y reproductivos para la mujer. Objetivo: Determinar cuáles son los factores que motivan a las mujeres en puerperio inmediato del servicio de Ginecología y Obstetricia de un Hospital de Veracruz a rechazar los métodos anticonceptivos. Método: Estudio cuantitativo, descriptivo de corte transversal. Resultado: La religión más frecuente de las pacientes es el catolicismo y la mayor incidencia de rechazo de estas mujeres hacia los métodos anticonceptivos fue por motivo de temor a los efectos secundarios. Conclusión: Se debe garantizar la información oportuna y científica hacia las mujeres en edad reproductiva.
Gambaran Pola Asuh Ibu dengan Balita Stunting dan Tidak Stunting di Kelurahan Tengah, Kecamatan Kramat Jati, DKI Jakarta
Authors: Aisyah Hira Fitriani
Published: January 2022

Latar Belakang. Wilayah Jakarta Timur menduduki posisi lokasi fokus stunting, salah satunya di Kelurahan Tengah. Berdasarkan pengolahan data awal, diketahui prevalensi stunting pada enam posyandu di dua RW terpilih mencapai angka 25,9%.Tujuan. Mengetahui perbandingan pola asuh balita stunting dan tidak stunting di Kelurahan Tengah, Kecamatan Kramat Jati Metode. Penelitian kualitatif dengan pendekatan studi kasus melalui wawancara mendalam secara daring. Sampel dipilih secara purposive sampling sesuai kriteria inklusi dan eksklusi dengan 12 informan utama yang memiliki balita stunting dan tidak stunting usia 24-59 bulan, serta informan kunci terdiri dari, Tenaga Pelaksana Gizi dan kader posyandu.Hasil. Hasil penelitian terhadap informan utama dengan balita stunting menunjukkan bahwa sebagian besar ibu tidak memberikan ASI Eksklusif kepada anaknya, memberikan makan dengan frekuensi yang kurang, variasi makanan tidak beragam karena anak banyak diberikan jajanan. Selain itu, ibu dengan anak stunting juga mendapatkan dukungan psikososial yang rendah serta rendahnya partisipasi ke Posyandu.Kesimpulan. Terdapat perbedaan antara pola asuh ibu dengan balita stunting dan ibu dengan balita tidak stunting. ABSTRACTBackground. East Jakarta region has become the primary location of stunting, one of which is Tengah Village. Based on the weighing and preliminary data, the prevalence of stunting in 6 Posyandu in the two selected RWs reached 25.9%. Objective to find out the comparison of parenting patterns of stunting toddlers and non-stunting toddlers in Tengah Urban-Village, Kramat Jati Sub-District Method. This research is qualitative, with a case-study approach and collected through in-depth online interviews. The sample was selected by purposive sampling, based on the inclusion and exclusion criteria which 12 main informants had stunting and not stunting toddlers aged 24-59 months and key informants consisting of Nutrition Workers in the Puskesmas Tengah and Posyandu cadres. Results. The research results on key informants with stunting toddlers show that most mothers didn’t give exclusive breastfeeding to their children, provide food with less frequency, food variations are not varied because children are given a lot of snacks. Mothers with stunting toddlers also experienced low psychosocial support and low participation in Posyandu.Conclusion. There is a difference between mothers with stunting toddlers' parenting patterns and mothers with non-stunting toddlers.
Analisis Kebijakan Pembatasan Sosial Berskala Besar (PSBB) dalam Penanggulangan dan Pencegahan COVID-19 di Kota Depok
Authors: Labetubun Julia Christy , Rachmawati Anggun , Fitria Febby Zuriani , Mukaromah Yayu , Rachmadiah Yudith , Pratomo Hadi
Published: January 2022

Latar Belakang. COVID-19 masuk di Indonesia pertama kali di Kota Depok, pada tanggal 2 Maret 2020. Penyebaran masif mengharuskan negara-negara terindikasi memberlakukan kebijakan ketat. Kebijakan yang diberlakukan Indonesia adalah Pembatasan Sosial Berskala Besar (PSBB). Dinyatakan sebagai zona merah, Kota Depok melalui Keputusan Gubernur Jawa Barat No.443/Kep.221-Hukham/2020 menetapkan pemberlakuan PSBB dimulai tanggal 15 April 2020.Tujuan. untuk mengindentifikasi dan menganalisa pelaksanaan kebijakan PSBB di Kota Depok serta merumuskan rekomendasi strategis kebijakan pelaksanaan PSBB Metode.Menggunakan media content analysis sebagai metode pengumpulan data kebijakan PSBB di Kota Depok, kemudianmenganalisisnya menggunakan pendekatan segitiga kebijakan dan teknik analisis SWOTHasil. Terdapat 23 Kebijakan Pemerintah Kota dalam menanggulangi COVID-19 di Kota Depok. enam Diantaranya terkait pelaksanaan PSBB dan duaperaturan terkait sanksi bagi pelanggar PSBB. PSBB diaplikasikan dalam empat tahapan perpanjangan dan satu tahap lanjutan menuju PSBB Proporsional.Kesimpulan. Tahap perpanjangan Kebijakan PSBB berhasil mengubah status Kota Depok menjadi zona kuning dengan nilai Rt = 0,54 pada tanggal 8 Juni 2020 sehingga siap melaksanakan PSBB Proporsional.ABSTRACTBackground. COVID-19 entered Indonesia first in Depok City on 2ndMarch 2020. Massive spread requires infected countries to enact strict policies. The policy chosen by Indonesia is a Large-Scale Social Restrictions Policy (PSBB). Declared as a red zone, Depok City, through the West Java Governor Decree No.443/2020, stipulates the implementation of PSBB on 15th April 2020. Objective. to identify and analyze the implementation of PSBB policies in Depok City and formulate strategic recommendations for PSBB implementation policiesMethod.The method used media content analysis to collect PSBB policy data in Depok City, then analyzing it using a policy triangle approach and SWOT analysis techniques.Results.There are 23 Local Government Policies to tackle COVID-19 in Depok City. Six of them implemented the PSBB and two regulations relating to the sanction for PSBB violators. The PSBB was applied in 4 stages of extension and 1 stage to continue the Proportional PSBB.Conclusion.The extension stages of PSBB policy have successfully changed to be the yellow zone with Rt = 0,54 on 8th June 2020. Therefore, Depok City is ready to implement Proportional PSBB.
Advokasi Penerapan Kawasan Tanpa Rokok di Sekolah
Authors: Ulfa Annisa Sayyidatul , Damayanti Rita
Published: January 2022

Latar Belakang. Jumlah perokok pasif di Indonesia mencapai 75% atau 96,9 juta orang. Sebanyak 66,2% pelajar terpapar rokok di ruang publik tertutup. Kementerian Pendidikan dan Kebudayaan telah menerbitkan Permendikbud 64/2015 tentang Kawasan Tanpa Rokok (KTR) di Lingkungan Sekolah. Masih perlu optimalisasi pelaksanaan KTR di sekolah.Tujuan. untuk melihat bagaimana peran siswa dalam proses advokasi dalam mengimplementasikan KTR di sekolahMetode. Penelitian ini merupakan penelitian deskriptif kualitatif dengan desain studi kasus yang dilakukan di suatu SMP di Kabupaten Bogor. Terdapat 7 informan yang terlibat. Teknik pengumpulan data yang digunakan adalah Focus Group Discussion (FGD) dan wawancara mendalam dengan melihat proses advokasi menggunakan Kerangka Advokasi “A”.Hasil. Siswa berperan sebagai pelaksana KTR di sekolah dengan mengadvokasi guru untuk menjadi fasilitator siswa, pimpinan sekolah sebagai pembuat kebijakan, dan pedagang toko di sekitar sekolah. Siswa mengidentifikasi permasalahan yang dirasakan, merumuskan strategi, menganalisis target dan melakukan advokasi. Kesepakatan yang terbentuk diantaranya pelaksanaan KTR sesuai kemampuan dan kondisi sekolah, pemasangan plang KTR, menjalankan satgas KTR, sosialisasi bahaya merokok dan advokasi kepada warung di sekitar sekolah untuk menurunkan spanduk iklan rokok.Kesimpulan. Siswa bisa menjadi agen perubahan untuk implementasi KTR di sekolah dengan adanya fasilitasi dan dukungan dari guru dan kepala sekolah. ABSTRACTBackground. Passive smokers in Indonesia reaches 75% or 96.9 million people. 66.2% students are exposed to cigarette in closed public spaces. Ministry of Education and Culture issued Permendikbud 64/2015 concerning KTR in the School Environment. implementation of KTR in schools still need optimization.Objective to see how the role of students in the advocacy process in implementing schools as smoke-free areas.Method. This research is a qualitative descriptive research with case study design conducted in a Junior High School of Bogor Regency. There were 7 informants. The data collection technique used Focus Group Discussion (FGD) and in-depth interviews by looking at the advocacy process using the "A" Advocacy Framework. Results. Students act as implementers of KTR in schools by advocating teachers to become student facilitators, school leaders as policy makers, and shop traders around the school. Students identify perceived problems, formulate strategies, analyze targets and conduct advocacy. The agreement formed include implementation of KTR according to the school’s ability and condition, installing KTR signs, applying KTR task-force and advocating stalls around schools to put down cigarette advertising bannersConclusion. Students can become agents of change for the implementation of KTR in schools with facilitation and support from teachers and principals.
Sikap Orang Tua dan Siswa Terhadap Penerapan Protokol Kesehatan 5M pada Pembukaan Sekolah Tatap Muka di Masa Pandemi COVID-19
Authors: Evi Ai , Surtimanah Tuti , Mardotilah Mila
Published: January 2022

Latar Belakang.COVID-19 menjadi pandemi global, kasus baru COVID-19 masih terus bertambah dan memengaruhi segala bidang kehidupan termasuk sekolah harus dilakukan secara daring. Ada keinginan membuka sekolah tatap muka langsung, untuk itu perlu diketahui sikap siswa dan orang tua terkait penerapan protokol kesehatan sebagai masukan untuk kebijakan. Tujuan.identifikasi sikap orang tua dan siswa terhadap penerapan protokol kesehatan 5M pada pembukaan sekolah tatap muka dimasa pandemi COVID-19.Metode.Menggunakan disain penelitian deskriptif komparatif dengan pendekatan cross sectional. Populasi siswa dan orang tua siswa Madrasah Aliyah 384 orang dengan sampel purposif 160 orang. Pengumpulan data dilakukan melalui kuesioner yang dikemas menggunakan Google form.Hasil. Sebanyak 86,3% orang tua dan 82,5% siswa bersikap positif (mendukung) penerapan protokol kesehatan 5M.  Tidak adanya signifikan (p-value=0,469) antara sikap orang tua dan siswa. Sebagian besar orang tua (88,8%) dan siswa (90%) menyatakan tidak ada hambatan dalam penerapan protokol kesehatan 5M.Kesimpulan. Orang tua dan siswa sama-sama bersikap positif (mendukung) penerapan protokol kesehatan 5M pada pembukaan sekolah tatap muka di masa pandemic COVID-19. Orang tua diharapkan mendorong dan memfasilitasi siswa menerapkan 5M secara konsisten, sekolah mempersiapkan pengaturan pelaksanaan dan penyediaan sarana pendukung penerapan 5M.  ABSTRACTBackground.COVID-19 is a global pandemic. New cases of COVID-19 continue to grow and affect all areas of life, including schools thatmust be conducted online. There is a desire to open a face-to-face school; therefore, it is necessary to know the attitudes of students and parents regarding the implementation of health protocols as input for the policy. Objective.identify parents' and students' attitudes towards applying the 5M health protocol at the opening of face-to-face schools during the COVID-19 pandemic.Method.used comparative descriptive research design with a cross-sectional approach. The population of parents and students are 384 people, with a purposive sample of 160 people. The data was collected using questionnaires packaged in Google forms. Results.86.3% of parents and 82.5% of students supported the implementation of the 5M. There was no significant difference (p-value=0.469) between parents' and students' attitudes. Most parents (88.8%) and students (90%) stated no obstacles in implementing the 5M health protocol.Conclusion: Parents and students positively support implementing the 5M health protocol at the opening of face-to-face schools during the COVID-19 pandemic. Parents should encourage and facilitate students to apply 5M consistently, schools prepare implementation arrangements and provide supporting facilities for implementing 5M
SEVERE MITRAL REGURGITATION AFTER PMBV? COMPARISON BETWEEN INOUE AND MULTI-TRACK TECHNIQUES
Authors: Farooq Faiza , Ammar Ali , Balouch Iram Jehan , Mir Ayaz , Muhammad Atif Sher , Haq Syed Alishan ul , Saghir Tahir , Ashraf Tariq , Sial Jawaid Akbar , Khan Naveed Ullah
Published: January 2022

Objectives: To compare the frequency of severe mitral regurgitation after percutaneous mitral balloon valvuloplasty (PMBV) via Inoue balloon and multi-track balloon technique in our population.
Methodology: In this retrospective observational study which was conducted at a tertiary care cardiac center of Karachi, Pakistan between 2015 and 2020 on Hospital registry of PMBV patients. Data were categorized in to two groups, Inoue balloon or multi-track balloon technique. Post procedure echocardiographic and catheterization parameters and in-hospital outcomes and complications, including severe MR, were compared between two groups.
Results: Out of 470 PMBV procedures, 286 (60.9%) were performed with multi-track and 184 (39.1%) with Inoue balloon. Improvement in mitral value area was significantly higher with multi-track as compared to Inoue balloon (0.66±0.31 cm2 vs. 0.56±0.29 cm2; p<0.001). Severe MR was not significant, 3.5% (10/286) vs. 4.3% (8/184); p=0.639 for multi-track and Inoue balloon. One patient in Inoue balloon group and two patients in multi-track group required emergency valve surgery. Stroke was observed in two patients of multi-track group and two patients from the same group developed tamponade. No in-hospital mortality was observed.
Conclusion: Post-procedure severe MR is a significant and frequent complication. Rate of post procedure severe MR are similar for PMBV via Inoue balloon and multi-track balloon. Both methods are equally effective with equal success rate.
HIGH SALT INTAKE IMPLICATIONS AS RISK FACTOR FOR HYPERTENSION AND COMPARISON OF THREE SALT ESTIMATION METHODS- FINDINGS FROM ISLAMABAD, PAKISTAN
Authors: Saqib Muhammad Arif Nadeem , Rafique Ibrar , Ansar Muhammad , Rahat Tayyaba
Published: January 2022

Objectives: The study was designed to estimate daily salt intake, its discretionary use in healthy individuals and to validate three common methods for salt estimation in Pakistani population.
Methodology: Information on demography and discretionary salt use was collected from healthy adults (>18 years) along with a blood sample, spot and 24 hour urine samples. Sodium, chloride, potassium levels and serum creatinine were measured using standard methods. For daily salt estimation, three common methods i.e. INTERSALT, Tanaka and Kawasaki were validated for their applicability in local settings.
Results: Overall 24 h sodium excretion was 158 mmol/l indicating intake of 8.64 (±4.43) grams salt per day which was significantly associated with male gender (p. <0.004) and adding salt during cooking (p. <0.0001). Most (73%) of the participants know about hazardous effects of high salt intake, however, only 25% consider important to lower salt intake. None of three methods i.e. INTERSALT (bias: -19.64; CCC -0.79), Tanaka (bias: 167.35; CCC -0.37) and Kawasaki (bias: -42.49, CCC -0.79) showed any agreement between measured and estimated 24 hour sodium.
Conclusion: Daily intake of salt was high which increases the risk for hypertension. Comparison of methods for estimation revealed that none of the three methods could be used for estimating daily intake of salt in local settings of Pakistan.
THE ROLE OF DIGOXIN IN THE SUCCESSFUL TERMINATION OF A RESISTANT MATERNAL ATYPICAL AV NODAL REENTRY TACHYCARDIA
Authors: Ali Naheed Feroz , Qazi Saba Salim , Ahmed Intisar , Tamiz Muhammad Ahmed , Ali Asfandiar , Hameed Amir
Published: January 2022

Here, we describe the case of a patient during her gestational period with resistant tachycardia that failed front line treatment options and was treated using an older agent.
Factors Influencing Consumer Brand Choice Service Tailoring Shop in Thailand, Focusing on Ermenegildo Zegna, Brioni and Local Brand
Authors:   PhD, Johnson Graduate School of Management. Cornell University, United States of America MBA, Tepper School of Business,Camegie Mellon University, United States of America, Wongsunopparat Sumas
Published: January 2022

The study compares foreign and local brands, focusing on Ermenegildo Zegna, Brioni, and local brands, in order to uncover the elements that impact customers' brand choice decisions in Thailand. The study looked at the elements that influence a customer's decision to buy a custom-made suit, in order to figure out what the most important component is. Understanding how Marketing Mixed affects customer happiness and purchase decisions is especially important. The second goal is to investigate how brand equity affects sales, with a particular focus on customer brand preferences and market expansion. The author chose the survey approach for this study, which is a quantitative research. Data was collected at random online through 346 legitimate questionnaires, and data was analyzed using cross tabulation and multinomial logistic regression. The study's findings show that all of the investigated factors, including product, price, location, promotion, brand equity, and customer purchase behavior determinants, have a positive impact on tailoring's customer brand choice decision in Thailand, with some specifications of each factor being found to be significant. Finally, when comparing these three brands, certain results are noteworthy.
Socio-Economic Challenges Affecting Construction Women Labourers (WCLs) in The Nigerian Construction Sector (NCS)
Authors:   Department of Quantity Surveying, Federal University of Technology, Akure, Ondo State, Nigeria, Najim Saka,
Published: January 2022

Women constitute about half of the population of Nigeria and thus a critical mass in the human capital of the country. They make significant contributions to social and economic development of the society, yet they are never appreciated nor supported by public or private institutions. Recently there have been a growing number of women in construction labour work in the Nigerian Construction Sector (NCS) - an area hitherto exclusively preserved of the male folks. This study investigates aspects of social and economic conditions of women construction labourers (WCLs) in Ondo State Southwest Nigeria. Convenience and Snowball sampling were used to sample 101 WCLs. Simple descriptive statistics was used to analyze the data. The result indicates that most WCLs are low in education and skills hence they mostly participate in supportive roles that are energetic. The WCLs are exposed to multiple risks due to poor Health, Safety and Environment (HSE), welfare and social protection of Nigerian Construction Contractors (NCCs) in the informal construction sub sector of the NCS. The study recommends for the improvement and enforcement of HSE standards, welfare package and training in the NCS.
Mechanism Effect Corporate Governance and Characteristics Company on Disclosure Intellectual Capital on Registered Pharmaceutical Companies on the Indonesia Stock Exchange
Authors:   Accounting Study Program, Faculty of Business, Law & Social Sciences, Muhammadiyah University Sidoarjo, Hariyanto Wiwit
Published: January 2022

The purpose of this study was to analyze the effect of the mechanism corporate governance and company characteristics to disclosure intellectual capital in pharmaceutical companies listed on the Indonesia Stock Exchange in 2015-2020. The population of this study were pharmaceutical companies listed on the Indonesia Stock Exchange in 2015-2020. The sample in this study was 6 pharmaceutical companies which were determined through purposive sampling. This study analyzes the company's annual report using the method content analysis. Data analysis was carried out by classical assumption test, hypothesis testing and multiple regression analysis methods. The results of this study indicate that the size of the board of commissioners, the number of meetings of the board of commissioners, and profitability have an effect partially or simultaneously on disclosure. intellectual capital. Meanwhile, independent commissioners, audit committees, number of audit committee meetings, company size, and leverage has no partial or simultaneous effect on disclosure intellectual capital.