bluuebunny/crossref_metadata_2025 huggingface dataset:
The Deployment of Drones in Sending Drugs and Patient Blood Samples COVID-19
Authors: Anggraeni Sri , Maulidina Aulia , Dewi Mauseni Wantika , Rahmadianti Salma , Rizky Yulian Putri Chandra , Arinalhaq Zulfa Fathi , Usdiyana Dian , Nandiyanto Asep Bayu Dani , Al-Obaidi Abdulkareem Sh. Mahdi
Published: March 2021

At present, most countries all over the world are being hard hit by the COVID-19 pandemic and some even are being hit harder than others. This condition has caused widespread disruption of the economic, social, and educational systems in those countries.  Under these conditions, transportation systems also need to be considered. There are problems of distribution of drugs and kits of test equipment to areas far from large cities in the center of the corona pandemic due to access difficulty. Remote locations, being difficult to reach, make the distribution of drugs and equipment for rapid testing uneven so that the recovery rate of patients in the area has a low percentage. Meanwhile, it is essential to ensure the availability of drugs and rapid test equipment in every public health center in all directions of Indonesia. One possible solution is the use of drones to distribute these things to areas that are difficult to reach. This solution is expected to at least improve healing and reduce mortality for patients infected with COVID-19 in remote areas.
A Neural Network Aided Real-Time Hospital Recommendation System
Authors: Paranjay Om Adideva , Rajeshkumar V
Published: March 2021

Over the past few years, there have been an overwhelming number of healthcare providers, hospitals and clinics. In such a situation, finding the right hospital for the right ailment can be a considerable challenge. Inspired by this challenge, this work attempts to build a model that can automatically recommend hospitals based on user requirements. In the past there have been important works in physician recommendation.  Our proposed work aims to be more inclusive and provide an automated hospital recommendation system to patients based on neural networks driven classification. We suggest a model that considers several unique parameters, including geographical location. To optimize its usefulness, we design a system that recommends hospitals for general consultation, specialty hospitals, and in view of the pandemic, hospitals recommended for treatment of COVID-19. In this work, we adopt Neural Networks and undertake a comparative analysis between several different available supervised algorithms to identify one best suited neural architecture that can work best in the applied fields. Based on our results from the analysis, we train the selected neural network with context relevant data. In the image of the recommendation system, we develop a website that uses the trained neural network on its backend and displays the recommendation results in a manner interpretable by the end user. We highlight the process of choosing the right neural model for the backend of the website.  To facilitate the working of the website in real-time, we use real time databases hosted on Google Firebase and edge devices on hospital ends. Additionally, we suggest two hospital side data updation tools. These tools would ensure that hospitals can update the parameters which change quickly in the real world to their latest values so as to maintain the precision of the system. We test the website with test data and find that the website recommends hospitals with sufficient precision in the specified format. The model has been designed with the limited amount of data available in this field, but its performance and utility can be easily improved with better quality and more abundant data.
Real-time Forecasting of the COVID-19 Epidemic using the Richards Model in South Sulawesi, Indonesia
Authors: Zuhairoh Faihatuz , Rosadi Dedi
Published: March 2021

This paper discussed Real-time Forecasting of the COVID-19 Epidemic using daily cumulative cases of COVID-19 in South Sulawesi. Our aim is to make model for the growth of COVID-19 cases in South Sulawesi in the top 5 provinces with the largest COVID-19 cases in Indonesia and predict when this pandemic reaches the peak of spread and when it ends. This paper used the Richards model, which is an extension of a simple logistic growth model with additional scaling parameters. Data used in the paper as of June 24, 2020 were taken from the official website of the Indonesian government. Our results are that the maximum cumulative number of COVID-19 cases has reached 10,000 to 12,000 cases. The peak of the pandemic is estimated to occur from June to July 2020 while continuing to impose social restrictions. The condition in South Sulawesi shows a sloping curve around October 2020, which means that there are still additional cases but not significant. When entering November, the curve starts to flat which indicates the addition of very small cases until the pandemic ends. The results of the pandemic peak prediction are the same as the Indonesian data; what is different is the prediction of when the pandemic will end. In the best-case scenario, the current data will tend to slow down, with the COVID-19 pandemic in South Sulawesi expected to end in November 2020. Our modeling procedure can provide information about the ongoing COVID-19 pandemic in South Sulawesi that may facilitate real-time public health responses about future disease outbreaks.
ENGINEERING, GEOLOGICAL AND PETROGRAPHIC FEATURES OF ANTHROPOGENIC LAYERS IN THE TERRITORY OF SAMARA
Authors: VASILIEVA Daria I. , BARANOVA Margarita N. , MALTSEV Andrey Valentinovich , SOKOLOVA Svetlana Vladimirovna
Published: March 2021

The study of engineering and geological properties of anthropogenic deposits, widespread in the city of Samara. Their main properties have been identifi ed and a classifi cation based on the genetic principle has been developed. The results of a petrographic study of samples from cultural layers taken at an archaeological site are presented. Archaeological excavations were carried out on the territory of Khlebnaya Square, located in the oldest part of the city, in 2019. The object represents the cultural layers that were formed in the XVIII-XIX centuries at the site of the alleged location of the second Samara fortress. Petrographic studies of the samples were carried out under a binocular microscope at 8.75 times magnifi cation, in transmitt ed light of a polarizing microscope at 72 times magnifi cation and under a digital microscope (USB DIGITAL) at 10 times magnifi cation. It has been determined that the pebble fraction is represented by quartz ite and jasper fl int, the sandy and silty fractions are angular quartz fragments with an admixture of undecomposed organic remains. The organic cultural layers, which reach 7-8 m and more in the ancient part of the city, are especially powerful. Their presence is a limiting factor in modern urban construction.
Determinants of the Composite Stock Price Index (IHSG) on the Indonesia Stock Exchange
Authors: Fuad Fuad , Yuliadi Imamudin
Published: March 2021

The stock market is one of the essential components of Indonesia's economy. As the market's improvement is quite acceptable nowadays, some macro variables affect stock price volatility. Therefore, research on the determinant of the Indonesian composite index is required. This study aims to determine the effect of world oil prices and macroeconomic variables on the Composite Stock Price Index. The variables used in this study are inflation, exchange rates, interest rates, and world oil prices. This study uses secondary data and time series from January 2015 to December 2019 to obtain 60 monthly data. The method used to examine the data is the Partial Adjustment Model (PAM) method using Eviews 7 and performs assumption tests. Based on the analysis that has been carried out, the study results found that the inflation and exchange rate variables have a negative and significant effect on the Indonesian Composite Stock Price Index. The interest rate and world oil price variables positively and significantly affect the Indonesian Composite Stock Price Index
Economic Feasibility Analysis in Developing 5G Infrastructure and Locations in Indonesia
Authors: Aprilianto Yudha , Asrol Muhammad , E Gunawan Fergyanto
Published: March 2021

Indonesia is preparing advanced telecommunication services, 5G technology, to provide the best service for the internet users. The objective of the research is to find feasible regions in developing 5G technology in Indonesia. The regional selection was carried out by combining Analytical Hierarchy Process (AHP) and Composite Performance Index (CPI). Further, the economic feasibility of the selected locations was evaluated using NPV, IRR and PBP technique. The result found that the potential cities to develop the 5G technology in Indonesia were Jakarta, Surabaya, and Bandung. Economic feasibility evaluations showed that Jakarta and Bandung were the most feasible cities for the first 5G technology development in the future.
Structural, Magnetic, Optical Properties and Photocatalytic Activity of Nanocrystalline Cobalt Ferrite Prepared by Three Different Methods
Authors: Selima S. S. , Bayoumy W. A. , Khairy M. , Mousa M.A.
Published: March 2021

Cobalt ferrite (CoFe2O4) nanoparticles were synthesized through three different routes (chemical co-precipitation, ceramic, and sol-gel). The products were characterized by XRD, SEM, TEM, Raman spectroscopy, FTIR, photoluminescence (PL), BET, XPS, vibrating sample magnetometer (VSM). The X-ray analysis validates the spinel structure of the samples with particle sizes between 21 – 36 nm. XPS revealed the impact of the preparation route on cation distribution at the tetrahedral and octahedral sites in spinel ferrite lattice. All ferrite surfaces exhibit a mesoporous structure with a surface area between 25 – 99 m2/g. The results show that the prepared samples exhibit either ferromagnetic or super-paramagnetic behavior. The ferrite samples showed a photocatalytic performance under visible light. The present work demonstrates that each of the particle size and cation distribution is effective in controlling the structural, magnetic, and optical properties. The results obtained reveal that this kind of CoFe2O4 spinel ferrite nanoparticles has promising applications in magnetic designs and water treatment fields.
Role of tight junction-associated MARVEL protein marvelD3 in migration and Epithelial–Mesenchymal Transition of hepatocellular carcinoma
Authors: Li Yanmeng , Li Teng , Zhou Donghu , Wei Jia , Li Zhenkun , Li Xiaojin , Jia Siyu , Ouyang Qin , Qi Saiping , Chen Zhibin , Zhang Bei , Yu Jing , Jia Jidong , Xu Anjian , Huang Jian
Published: March 2021

BackgroundTight junction (TJ) imbalance is associated with hepatocellular carcinoma (HCC). MarvelD3, which contains a conserved MARVEL (MAL and related proteins for vesicle trafficking and membrane link) domain similarly to occludin and tricellulin, is a recently identified integral membrane protein that forms TJs. However, little is known about the possible roles of marvelD3 in epithelial–mesenchymal transition (EMT) and metastasis of HCC. We aimed to demonstrate the role of marvelD3 in inhibiting HCC EMT and migration and further explore the underlying molecular mechanisms.MethodsMarvlD3 expression was assessed in HCC and normal liver tissues. Changes in marvelD3 expression were analyzed during transforming growth factor β1 (TGF-β1) and snail/slug-induced EMT. MarvelD3 knockdown HCC cell lines were established using marvelD3-siRNA to analyze correlations between marvelD3 and EMT-related proteins. Tumor cell behaviors were analyzed in marvelD3 knockdown HCC cells. Associations between marvelD3 and genes in the nuclear factor (NF)-κB pathway were also analyzed.ResultsLoss of marvelD3 expression was significantly correlated with the occurrence and TNM stage of HCC. MarvelD3 was downregulated in HCC cells with TGF-β and snail/slug-induced EMT. Expression of marvelD3 protein was significantly associated with E-cadherin and vimentin in HCC cell lines. Knockdown of marvelD3 promoted tumor cell migration concomitant with activation of the NF-κB signaling pathway and increased matrix metallopeptidase 9 expression.ConclusionsOur study demonstrated that MarvelD3 inhibited EMT and migration of HCC cells via NF-κB signaling pathway. This suggests that marvelD3 is a novel potential biomarker for the treatment and prognosis of HCC.
Numerical Simulation of Hardfacing Remanufacturing for Large-Scale Damaged Grinding Roller
Authors: tian liang , Xing Shouhang , Liu Guojun , Luo Yu
Published: March 2021

The present study is directed to the temperature and residual stresses fields in the hardfacing remanufacturing for a large-scale grinding roller with damage. For this purpose, a numerical procedure for the hardfacing process based on thermal cycle curve method was established, and the effectiveness of the proposed procedure was verified by the measurements of a multi-pass welding experiment with V-groove butt joint. Considering the characteristics of the hardfacing process, a local model of bead-on-plate welding was used to check the heat source and extract the thermal cycle curve. The resulting thermal cycle curve was applied as a thermal load to the corresponding welding layer one by one. Based on the calculated material properties, the data files of the base metal (Grade:KmTBCr26) and the filling layers (Grade:ARCFCW9024) were re-developed to define the temperature-dependent physical and mechanical properties of the materials used in the hardfacing remanufacturing. The numerical simulation results reveal the changing trend and distribution of the temperature and residual stress fields during the hardfacing remanufacturing for the damaged grinding roller. The distribution of temperature and residual stress is very complicated due to the numerous welding layers in the hardfacing process. It is pointed out that with the increase of surfacing layers, the heat-affected zone of the grinding roller expands gradually, and the maximum tensile stress always appears at the position near the weld toe, which is prone to fatigue failure or interface peeling due to stress concentration.
Performance of rapid sand filter – single media to remove microplastics
Authors: Sembiring Emenda , Fajar Mutiara , Handajani Marisa
Published: March 2021

Microplastics (MPs) have been detected in drinking water and raw water sources. Therefore, it is important to know the performance of drinking water treatment process. The rapid sand filter (RSF) is one of the water treatments that can be an alternative treatment in removing MPs after several configuration processes (pre-sedimentation, coagulation-flocculation, and sedimentation). This study aims to determine the effectiveness of RSF to remove MPs. The artificial samples were made from plastics bags and tyre flakes, with sizes from 10 μm to more than 500 μm. Bentonite was added to represent turbidity in the water. The average removal efficiency of plastics flakes before entering the filter was 50.48% (using bentonite) and 47.78% (without bentonite). Overall, the removal efficiency for the tyre flakes was 90.72% (using bentonite) and 93.03% (without bentonite). The filtration used in this study was varied between 4 and 10 m/h. Removal efficiency using RSF for plastic flakes on which the Effective Size (ES) filter media 0.39 mm was 97.7% and on which ES 0.68 mm was 94.3%. Meanwhile, the removal efficiency of the tyre flakes for ES 0.39 mm were 90.6% and ES 0.68 mm was 85.2%. However, in this study, RSF mostly removed MPs particles greater than 200 μm in size.
Understanding Concerns, Sentiments, and Disparities Among Population Groups During the COVID-19 Pandemic Via Twitter Data Mining: Large-scale Cross-sectional Study (Preprint)
Authors: Zhang Chunyan , Xu Songhua , Li Zongfang , Hu Shunxu
Published: March 2021

BACKGROUND

Since the beginning of the COVID-19 pandemic in late 2019, its far-reaching impacts have been witnessed globally across all aspects of human life, such as health, economy, politics, and education. Such widely penetrating impacts cast significant and profound burdens on all population groups, incurring varied concerns and sentiments among them.

OBJECTIVE

This study aims to identify the concerns, sentiments, and disparities of various population groups during the COVID-19 pandemic through a cross-sectional study conducted via large-scale Twitter data mining infoveillance.

METHODS

This study consisted of three steps: first, tweets posted during the pandemic were collected and preprocessed on a large scale; second, the key population attributes, concerns, sentiments, and emotions were extracted via a collection of natural language processing procedures; third, multiple analyses were conducted to reveal concerns, sentiments, and disparities among population groups during the pandemic. Overall, this study implemented a quick, effective, and economical approach for analyzing population-level disparities during a public health event. The source code developed in this study was released for free public use at GitHub.

RESULTS

A total of 1,015,655 original English tweets posted from August 7 to 12, 2020, were acquired and analyzed to obtain the following results. Organizations were significantly more concerned about COVID-19 (odds ratio [OR] 3.48, 95% CI 3.39-3.58) and expressed more fear and depression emotions than individuals. Females were less concerned about COVID-19 (OR 0.73, 95% CI 0.71-0.75) and expressed less fear and depression emotions than males. Among all age groups (ie, ≤18, 19-29, 30-39, and ≥40 years of age), the attention ORs of COVID-19 fear and depression increased significantly with age. It is worth noting that not all females paid less attention to COVID-19 than males. In the age group of 40 years or older, females were more concerned than males, especially regarding the economic and education topics. In addition, males 40 years or older and 18 years or younger were the least positive. Lastly, in all sentiment analyses, the sentiment polarities regarding political topics were always the lowest among the five topics of concern across all population groups.

CONCLUSIONS

Through large-scale Twitter data mining, this study revealed that meaningful differences regarding concerns and sentiments about COVID-19-related topics existed among population groups during the study period. Therefore, specialized and varied attention and support are needed for different population groups. In addition, the efficient analysis method implemented by our publicly released code can be utilized to dynamically track the evolution of each population group during the pandemic or any other major event for better informed public health research and interventions.
Enfoque regional de manejo integrado del agua en la microcuenca El Pantano, Morelos, México
Authors: Jaramillo Monroy Fernando , Wehncke Elisabet Veronica , Flores Armillas Víctor Hugo , Pohle Morales Oscar Mario , López-Medellín Xavier
Published: March 2021

Este estudio combina análisis socio-históricos y funcionales, bajo una perspectiva regional, de una microcuenca hidrológica; intenta entender los patrones de uso pasados e identificar debilidades y fortalezas hacia un plan de manejo integral del territorio y el agua. El análisis reveló que, en términos del funcionamiento, esta microcuenca depende de un sistema de flujo regional y conexión a otras microcuencas adyacentes, y que las interrelaciones entre los componentes natural y social, así como los movimientos ciudadanos organizados fueron aspectos clave en el rescate de la microcuenca y en la creación de un programa de manejo dinámico adaptativo.
Rationalising Framing Effects: At Least One Task for Empirically Informed Philosophy
Authors: Fisher Sarah A.
Published: March 2021

Human judgements are affected by the words in which information is presented —or ‘framed’. According to the standard gloss, ‘framing effects’ reveal counter-normative reasoning, unduly affected by positive/negative language. One challenge to this view suggests that number expressions in alternative framing conditions are interpreted as denoting lower-bounded (minimum) quantities. However, it is unclear whether the resulting explanation is a rationalising one. I argue that a number expression should only be interpreted lower-boundedly if this is what it actually means. I survey how number expressions might be assigned lower-bounded meanings, due to their conventional semantics or pragmatic enrichment in context. I argue that deciding between these possibilities requires foundational philosophical input.
Confusing problem of green architecture and false green architecture in mena region
Authors:   Amirkabir university of technology (Tehran polytechnic), Norouzi Nima , Nasiri Zahra ,   Islamic Azad university
Published: March 2021

Achieving sustainable and environmentally friendly architecture is one of the main goals people have made to better life as the final model for their professional activities. Thus, moving towards greener architecture is considered the primary goal of the architecture of our time. The purpose of this study is to analyze architectural projects that have already been implemented in Middle Eastern countries in terms of their compatibility with the objective concepts of sustainability and the green standards they require. Therefore, for review and study, the purpose of this article is to discover the level of sustainability classification system such as LEED (Leadership in Energy and Environmental Design) that can be effective in classifying current architectural projects. Studies show three concepts for analyzing contemporary architecture: 1. green, 2. false green, and 3. energy-seller. Besides, these studies have shown that some projects, although attempting to convey sustainable architecture concepts in appearance, are not sustainable. In recent stages, this paper intends to evaluate the effectiveness of the LEED classification system. In evaluating the LEED classification system, the results show that the system’s purpose is more for planning purposes than objective design goals and practical tools for analyzing the architectural design process. The analysis based on this study shows that it is necessary to use design-based patterns to move false green architecture to green architecture.
Study of Basic Military Training on the Physical Fitness and Physical Self-Concept for Cadets
Authors: CHEN Kenny Wen Chyuan , CHIU Pin Kun , LIN I An , XU Ku Fu , HSU Mei Chich , LIANG Michael Tian Chong
Published: March 2021

LANGUAGE NOTE | Document text in English; abstract also in Chinese.

This study investigated the physiological and psychological aspects of first-year cadets who adopted a basic military training. We focused on the extent to which the Military physical fitness and the physical self-concept will be affected by a basic military training program. Military physical fitness included the score of BMI, pull-ups, 3000m endurance running and 1-min sit-up. Physical self-concept was assessed using the Marsh's Physical Self-Description Questionnaire (PSDQ), which was adapted to use in college students. PSDQ scale was assessed using a 6-point rating scale on which the subject estimated their physical characteristics. Testing was administered in a pre- and posttest fashion over 9 weeks (n=166). The collected data were analyzed by t-test. The study revealed that 1) Military physical fitness that including 3000m endurance running, 1-min sit-up and BMI are significant (p<.05), (2) total score of PSDQ assessment are non-significant (p>.05), (3) the health of PSDQ are significant (p<.05), (4) the physical activity of PSDQ are significant (p<.05). Results show that physical fitness and psychological measurement are really affected by basic military training program such that cadets have a more positive health and better body conditions due to basic military training.

本研究的主要目的在於研究軍校新生在經過入伍訓練後其生理與心理方面的變化。我們研究主要焦點在於入伍訓練課程能否影響軍方體適能和身體自我概念，而軍中體適能的項目包含：拉單槓、3000公尺耐力跑、一分鐘仰臥起坐，身體自我概念的評估則是將Marsh的身體自我描述問卷(PSDQ)改編成適合大專學生適用的量表。PSDQ的評估使用六點等級讓受試者來評估自己的身體特點。測試分別在9周入伍訓練的前後實施(共166人)。收集到的資料以成對樣本T考驗檢定。本研究的結果呈現(1)軍方體適能中的3000公尺耐力跑，一分鐘仰臥起坐和BMI皆有顯著的變化(p<.05) (2) PSDQ的總得分並未變化(p>.05) (3) PSDQ的健康分項得分有顯著差異(p<.05) (4) PSDQ的身體活動分項得分有顯著差異(p<.05)。結果顯示體適能和心理方面的測量確實受到入伍訓練的影響，所以軍校生會因為入伍訓練而有更積極正向的健康概念與較佳的身體狀況。
Conflictos socioambientales y territoriales en espacios rurales de la comuna de Putaendo (Chile)
Authors: Palmisano Tomás
Published: March 2021

Este artículo explora los conflictos que surgen en torno a la expansión de actividades primario exportadoras. A partir de un estudio de caso en la comuna de Putaendo (Región de Valparaíso, Chile) que combina técnicas cuantitativas y cualitativas, se analiza la dimensión territorial y la socioambiental de las disputas. Tras el análisis se concluye que el avance de la frontera extractiva activa diversas resistencias que, a pesar de su especificidad, están analíticamente imbricadas, como ocurre con las luchas campesinas en torno a los campos cordilleranos y la resistencia popular frente a la gran minería.
Improving Religious Literacy Through Islamic Religious Education Course Based On The Flipped Classroom
Authors: Nurpratiwi Suci , Effendi Muhamad Ridwan , Amaliyah Amaliyah
Published: March 2021

Religious literacy is essential because understanding religious doctrine is about the normative principle and how religion applies in a social context. Religious literacy can develop through the learning process. This study analyzes student religious literacy by learning Islamic Religious Education (IRE) based on the flipped classroom. The research method used is classroom action research through two cycles. The research subjects were students who took the general course of Islamic Religious Education. The results showed that applying flipped classrooms in Islamic Religious Education learning could increase student diversity in belief, practice dimensions, knowledge dimensions, and implementation dimensions. The implementation of Islamic learning based on flipped classroom can also improve student learning activities. Students pay attention to learning carefully, actively participate in discussions, actively ask questions, provide opinions, and perform assigned tasks. Besides that, the implementation of a flipped classroom can also improve student learning outcomes.Literasi keberagamaan penting dimiliki karena memahami ajaran agama bukan hanya sebatas pada doktrin normatifnya saja, melainkan juga pada bagaimana agama diterapkan dalam konteks sosial. Literasi keberagamaan dapat dikembangkan melalui proses pembelajaran. Penelitian ini bertujuan untuk menganalisis peningkatan literasi keberagamaan mahasiswa melalui pembelajaran Pendidikan Agama Islam berbasis flipped classroom. Metode penelitian yang digunakan adalah classroom action research dengan melalui dua siklus. Subyek penelitian adalah mahasiswa yang mengambil mata kuliah umum Pendidikan Agama Islam. Hasil penelitian menunjukkan bahwa penerapan flipped classroom dalam pembelajaran Pendidikan Agama Islam dapat meningkatkan literasi keberagamaan mahasiswa pada dimensi keyakinan, dimensi praktik, dimensi pengetahuan, dan dimensi pengamalan. Penerapan pembelajaran Pendidikan Agama Islam berbasis flipped classroom juga dapat meningkatkan aktivitas pembelajaran mahasiswa, mahasiswa memperhatikan pembelajaran secara seksama, aktif berpartisipasi dalam diskusi, aktif mengajukan pertanyaan dan memberikan pendapat, serta mengerjakan tugas-tugas yang telah diberikan. Di samping itu, penerapan flipped classroom juga dapat meningkatkan hasil belajar mahasiswa.
Constructing arbitrary Steane code single logical qubit fault-tolerant gates
Authors: Fowler Austin G.
Published: March 2021

We present a simple method for constructing optimal fault-tolerant approximations of arbitrary unitary gates using an arbitrary discrete universal gate set. The method presented is numerical and scales exponentially with the number of gates used in the approximation. However, for the specific case of arbitrary single-qubit gates and the fault-tolerant gates permitted by the concatenated 7-qubit Steane code, we find gate sequences sufficiently long and accurate to permit the fault-tolerant factoring of numbers thousands of bits long. A general scaling law of how rapidly these fault-tolerant approximations converge to arbitrary single-qubit gates is also determined.
Hamiltonian simulation using linear combinations of unitary operations
Authors: Childs Andrew M. , Wiebe Nathan
Published: March 2021

We present a new approach to simulating Hamiltonian dynamics based on implementing linear combinations of unitary operations rather than products of unitary operations. The resulting algorithm has superior performance to existing simulation algorithms based on product formulas and, most notably, scales better with the simulation error than any known Hamiltonian simulation technique. Our main tool is a general method to nearly deterministically implement linear combinations of nearby unitary operations, which we show is optimal among a large class of methods.
Probabilistic secret sharing through noise quantum channe
Authors: Adhikari Satyabrata , Chakrabarty Indranil , Agrawal Pankaj
Published: March 2021

In a realistic situation, the secret sharing of classical or quantum information will involve the transmission of this information through noisy channels. We consider a three qubit pure state. This state becomes a mixed-state when the qubits are distributed over noisy channels. We focus on a specific noisy channel, the phase-damping channel. We propose a protocol for secret sharing of classical information with this and related noisy channels. This protocol can also be thought of as cooperative superdense coding. We also discuss other noisy channels to examine the possibility of secret sharing of classical information.
Importation and Indigeneity: the Quartet in New Zealand Administrative Law
Authors: Knight Dean
Published: March 2021

No description supplied
Design and Construction of the Samuel De Champlain Bridge, Montreal, Canada
Authors: Nader Marwan , McGain Zac , Demirdjian Sevak , Rogerson Jeff , Mailhot Guy
Published: March 2021

The deteriorating condition and associated high maintenance costs of the existing Champlain Bridge prompted the accelerated need for its replacement. Part of the largest infrastructure project currently underway in North America, the Samuel De Champlain Bridge is a viaduct with a signature cable-stayed bridge. This life-line structure was designed to ensure 125 years of service life. The design-build team employed innovative pre- casting, modular segments, and non-traditional erection techniques and sequencing to meet the fast-track project schedule.
Hacia una nueva normalidad
Authors: Jasso Gaona Carlos Alberto
Published: March 2021

La necesidad de estudiar a distancia a raíz de la contingencia sanitaria provocada por el virus Covid-19 coloca como principal tema de interés,entre las figuras que integran el sistema educativo, al desarrollo de competencias socioemocionales. Por consiguiente, es importante realizaruna revisión hermenéutica crítica a la interpretación oficial que se da a la educación socioemocional desde dos ámbitos: el curricular y la intervención pedagógica; para indicar si la propuesta que ofrece la Secretaría de Educación Pública (SEP) es pertinente o si, por el contrario, los hacedores de política podrían realizar algunas adecuaciones en este respecto. Los resultados obtenidos a partir del razonamiento expuesto indican que es preciso hacerajustes en la formulación curricular, en relación con la eliminación de concepciones heterogéneas en la intervención pedagógica y la inclusión de una perspectiva de género, así como el fortalecimiento de la función evaluativa; por lo que los docentes deben ser capacitados en este respecto. Por esta razón, se concluye que los tomadores de decisiones deben impulsar políticas educativas que realmente otorguen el rol protagónico que requiere la educación socioemocional dentro del proceso de enseñanzaaprendizaje.
COVID-19 first lockdown as a window into language acquisition: associations between caregiver-child activities and vocabulary gains.
Authors: Kartushina Natalia , Mani Nivedita , AKTAN-ERCIYES ASLI , Alaslani Khadeejah , Aldrich Naomi J. , Almohammadi Alaa , Alroqi Haifa , Anderson Lucy , Andonova Elena , Aussems Suzanne , Babineau Mireille , Barokova Mihaela , Bergmann Christina , Cashon Cara H. , Custode Stephanie , de Carvalho Alex , Dimitrova Nevena , Dynak Agnieszka , Farah Rola , Fennell Christopher , Fievet Anne-Caroline , Frank Michael C. , Gavrilova Margarita , Gendler-Shalev Hila , Kong Shannon P , Golway Katherine Grace , Gonzalez-Gomez Nayeli , Haman Ewa , Hannon Erin , Havron Naomi , Hay Jessica , Hendriks Cielke , Horowitz-Kraus Tzipi , Kalashnikova Marina , Kanero Junko , Keller Christina , Krajewski Grzegorz , Laing Catherine , Lundwall Rebecca Allred , Łuniewska Magdalena , Muszyńska Karolina , Muñoz Luis Eduardo , Nave Karli M , Olesen Nonah M. , Perry Lynn K. , Rowland Caroline F , Santos Oliveira Daniela Cristina , Shinskey Jeanne L. , Veraksa Aleksander , Vincent Kolbie , Zivan Michal , Mayor Julien
Published: March 2021

The COVID-19 pandemic, and the resulting closure of daycare centers worldwide, led to unprecedented changes in children’s learning environments. This period of increased time at home with caregivers, with limited access to external sources (e.g., daycares) provides a unique opportunity to examine the associations between the caregiver-child activities and children’s language development. The vocabularies of 1742 children aged 8-36 months across 13 countries and 12 languages were evaluated at the beginning and end of the first lockdown period in their respective countries (from March to September 2020). Children who had less passive screen exposure and whose caregivers read more to them showed larger gains in vocabulary development during lockdown, after controlling for SES and other caregiver-child activities. Children also gained more words than expected (based on normative data) during lockdown; either caregivers were more aware of their child’s development, or vocabulary development benefited from intense caregiver-child interaction during lockdown or both. We discuss these results in the context of the extraordinary circumstances of the COVID-19 pandemic and highlight limitations of the study.
Painless Posterior Sampling: Bayesian Bootstrapped Correlation Coefficients
Authors: Rodriguez Josue E. , Williams Donald Ray
Published: March 2021

We propose the Bayesian bootstrap (BB) as a generic, simple, and accessible method for sampling from the posterior distribution of various correlation coefficients that are commonly used in the social-behavioral sciences. In a series of examples, we demonstrate how the BB can be used to estimate Pearson's, Spearman's, Gaussian rank, Kendall's tau, and polychoric correlations. We also describe an approach based on a region of practical equivalence to evaluate differences and null associations among the estimated correlations. Key advantages of the proposed methods are illustrated using two psychological datasets. In addition, we have implemented the methodology in the R package BBcor.
An Efficient Query Optimizer with Materialized Intermediate Views in Distributed and Cloud
Environment
Authors: Bachhav Archana , Kharat Vilas , Shelar Madhukar
Published: March 2021

In cloud computing environment hardware resources required for the execution of query using distributed relational database system are scaled up or scaled down
according to the query workload performance. Complex queries require large scale of resources in order to complete their execution efficiently. The large scale of resource
requirements can be reduced by minimizing query execution time that maximizes resource utilization and decreases payment overhead of customers. Complex queries or batch queries contain some common subexpressions. If these common subexpressions evaluated once and their results are cached, they can be used for execution of further queries. In this research, we have come up with an algorithm for query optimization, which aims at storing intermediate results of the queries and use these by-products for execution of future queries. Extensive experiments have been carried out with the help of simulation model to test the algorithm efficiency
Hemodynamic effects of the human aorta arch with different inflow rate waveforms from the ascending aorta inlet: A numerical study
Authors: Chen Ying , Yang Yunmei , Tan Wenchang , Fu Liqin , Deng Xiaoyan , Xing Yubin
Published: March 2021

BACKGROUND: Heart failure (HF) is a common disease globally. Ventricular assist devices (VADs) are widely used to treat HF. In contrast to the natural heart, different VADs generate different blood flow waves in the aorta. OBJECTIVE: To explore whether the different inflow rate waveforms from the ascending aorta generate far-reaching hemodynamic influences on the human aortic arch. METHODS: An aortic geometric model was reconstructed based on computed tomography data of a patient with HF. A total of five numerical simulations were conducted, including a case with the inflow rate waveforms from the ascending aorta with normal physiological conditions, two HF, and two with typical VAD support. The hemodynamic parameters, wall shear stress (WSS), oscillatory shear index (OSI), relative residence time (RRT), and the strength of the helical flow, were calculated. RESULTS: In contrast to the natural heart, numerical simulations showed that HF decreased WSS and induced higher OSI and RRT. Moreover, HF weakened helical flow strength. Pulsatile flow VADs that elevated the WSS, induced some helical flow, while continuous flow VADs could not. CONCLUSIONS: HF leads to an adverse hemodynamic environment by decreasing WSS and reducing the helical flow strength. Based upon hemodynamic effects, pulsatile flow VADs may be more advantageous than continuous flow VADs. Thus, pulsatile flow VADs may be a better option for patients with HF.
Proposal and validation of polyconvex strain-energy function for biological soft tissues
Authors: Funai Takashi , Kataoka Hiroyuki , Yokota Hideo , Suzuki Taka-aki
Published: March 2021

BACKGROUND: Mechanical simulations for biological tissues are effective technology for development of medical equipment, because it can be used to evaluate mechanical influences on the tissues. For such simulations, mechanical properties of biological tissues are required. For most biological soft tissues, stress tends to increase monotonically as strain increases. OBJECTIVE: Proposal of a strain-energy function that can guarantee monotonically increasing trend of biological soft tissue stress-strain relationships and applicability confirmation of the proposed function for biological soft tissues. METHOD: Based on convexity of invariants, a polyconvex strain-energy function that can reproduce monotonically increasing trend was derived. In addition, to confirm its applicability, curve-fitting of the function to stress-strain relationships of several biological soft tissues was performed. RESULTS: A function depending on the first invariant alone was derived. The derived function does not provide such inappropriate negative stress in the tensile region provided by several conventional strain-energy functions. CONCLUSIONS: The derived function can reproduce the monotonically increasing trend and is proposed as an appropriate function for biological soft tissues. In addition, as is well-known for functions depending the first invariant alone, uniaxial-compression and equibiaxial-tension of several biological soft tissues can be approximated by curve-fitting to uniaxial-tension alone using the proposed function.
Optimal control strategy of state feedback control for surface-mounted PMSM drives based on auto-tuning of seeker optimization algorithm
Authors: Cao Junhao , Sun Xiaodong , Tian Xiang
Published: March 2021

This paper focus on a state feedback controller (SFC)-based optimal control scheme for surface-mounted permanent-magnet synchronous motor (SPMSM) with auto-tuning of controller built on seeker optimization algorithm (SOA). First, based on the nonlinear state-space model of SPMSM, voltage feedforward compensation is used to design a linear SFC. Then in order to guarantee the steady performance in speed and current, integral models considering the errors of rotor speed and current response in d-axis are added in the state space model of SPMSM. Furthermore, by statically decoupling the load torque in the state equation, feedforward compensation is implemented on the load torque to improve the dynamic performance of the controller. The load torque is estimated by using disturbance observer with reasonable parameter selection. Then, with the consideration of the search capacity of seeker optimization algorithm (SOA), it is adopted to acquire matrix coefficient of the presented controller. Furthermore, in order to suppress the speed overshoot, a penalty term is introduced to the fitness index. The performance of the proposed method has been validated experimentally and compared with the conventional method under different conditions.
Establishment of an Efficient Primary Culture System for Human Hair Follicle Stem Cells Using the Rho-Associated Protein Kinase Inhibitor Y-27632
Authors: Wen Lihong , Miao Yong , Fan Zhexiang , Zhang Jiarui , Guo Yixuan , Dai Damao , Huang Junfei , Liu Zhen , Chen Ruosi , Hu Zhiqi
Published: March 2021

Background

Hair follicle tissue engineering is a promising strategy for treating hair loss. Human hair follicle stem cells (hHFSCs), which play a key role in the hair cycle, have potential applications in regenerative medicine. However, previous studies did not achieve efficient hHFSC expansion in vitro using feeder cells. Therefore, there is a need to develop an efficient primary culture system for the expansion and maintenance of hHFSCs.

Methods

The hHFSCs were obtained by two-step proteolytic digestion combined with microscopy. The cell culture dishes were coated with human fibronectin and inoculated with hHFSCs. The hHFSCs were harvested using a differential enrichment procedure. The effect of Rho-associated protein kinase (ROCK) inhibitor Y-27632, supplemented in keratinocyte serum-free medium (K-SFM), on adhesion, proliferation, and stemness of hHFSCs and the underlying molecular mechanisms were evaluated.

Results

The hHFSCs cultured in K-SFM, supplemented with Y-27632, exhibited enhanced adhesion and proliferation. Additionally, Y-27632 treatment maintained the stemness of hHFSCs and promoted the ability of hHFSCs to regenerate hair follicles in vivo. However, Y-27632-induced proliferation and stemness in hHFSCs were conditional and reversible. Furthermore, Y-27632 maintained propagation and stemness of hHFSCs through the ERK/MAPK pathway.

Conclusion

An efficient short-term culture system for primary hHFSCs was successfully established using human fibronectin and the ROCK inhibitor Y-27632, which promoted the proliferation, maintained the stemness of hHFSCs and promoted the ability to regenerate hair follicles in vivo. The xenofree culturing method used in this study provided a large number of high-quality seed cells, which have applications in hair follicle tissue engineering and stem cell therapy.
Myocardial Infarction: The Protective Role of MiRNAs in Myocardium Pathology
Authors: Wang Wei , Zheng Hao
Published: March 2021

Cardiovascular diseases have been regarded as the leading cause of death around the world, with myocardial infarction (MI) being the most severe form. MI leads to myocardial apoptosis, cardiomyocyte fibrosis, and cardiomyocyte hypertrophy, ultimately leading to heart failure, and death. Micro RNAs (miRNAs) participate in the genesis and progression of myocardial pathology after MI by playing an important regulatory role. This review aims to summarize all available knowledge on the role of miRNAs in the myocardial pathological process after MI to uncover potential major target pathways. In addition, the main therapeutic methods and their latest progress are also reviewed. miRNAs can regulate the main signaling pathways as well as pathological processes. Thus, they have the potential to induce therapeutic effects. Hence, the combination of miRNAs with recently developed exosome nanocomplexes may represent the future direction of therapeutics.
Dopamine in Auditory Nuclei and Lemniscal Projections is Poised to Influence Acoustic Integration in the Inferior Colliculus
Authors: Harris Sharonda , Afram Renee , Shimano Takashi , Fyk-Kolodziej Bozena , Walker Paul D. , Braun Rod D. , Holt Avril Genene
Published: March 2021

Dopamine (DA) modulates the activity of nuclei within the ascending and descending auditory pathway. Previous studies have identified neurons and fibers in the inferior colliculus (IC) which are positively labeled for tyrosine hydroxylase (TH), a key enzyme in the synthesis of dopamine. However, the origins of the tyrosine hydroxylase positive projections to the inferior colliculus have not been fully explored. The lateral lemniscus (LL) provides a robust inhibitory projection to the inferior colliculus and plays a role in the temporal processing of sound. In the present study, immunoreactivity for tyrosine hydroxylase was examined in animals with and without 6-hydroxydopamine (6-OHDA) lesions. Lesioning, with 6-OHDA placed in the inferior colliculus, led to a significant reduction in tyrosine hydroxylase immuno-positive labeling in the lateral lemniscus and inferior colliculus. Immunolabeling for dopamine beta-hydroxylase (DBH) and phenylethanolamine N-methyltransferase (PNMT), enzymes responsible for the synthesis of norepinephrine (NE) and epinephrine (E), respectively, were evaluated. Very little immunoreactivity for DBH and no immunoreactivity for PNMT was found within the cell bodies of the dorsal, intermediate, or ventral nucleus of the lateral lemniscus. The results indicate that catecholaminergic neurons of the lateral lemniscus are likely dopaminergic and not noradrenergic or adrenergic. Next, high-pressure liquid chromatography (HPLC) analysis was used to confirm that dopamine is present in the inferior colliculus and nuclei that send projections to the inferior colliculus, including the cochlear nucleus (CN), superior olivary complex (SOC), lateral lemniscus, and auditory cortex (AC). Finally, fluorogold, a retrograde tracer, was injected into the inferior colliculus of adult rats. Each subdivision of the lateral lemniscus contained fluorogold within the somata, with the dorsal nucleus of the lateral lemniscus showing the most robust projections to the inferior colliculus. Fluorogold-tyrosine hydroxylase colocalization within the lateral lemniscus was assessed. The dorsal and intermediate nuclei neurons exhibiting similar degrees of colocalization, while neurons of the ventral nucleus had significantly fewer colocalized fluorogold-tyrosine hydroxylase labeled neurons. These results suggest that several auditory nuclei that project to the inferior colliculus contain dopamine, dopaminergic neurons in the lateral lemniscus project to the inferior colliculus and that dopaminergic neurotransmission is poised to play a pivotal role in the function of the inferior colliculus.