bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep Learning Model for Protein Disease Classification
Authors: Mostafa Farida Alaaeldin , Afify Yasmine Mohamed , Ismail Rasha Mohamed , Badr Nagwa Lotfy 
Published: November 2021

Background:
Protein sequence analysis helps in the prediction of protein functions. As the
number of proteins increases, it gives the bioinformaticians a challenge to analyze and study the similarity
between them. Most of the existing protein analysis methods use Support Vector Machine. Deep
learning did not receive much attention regarding protein analysis as it is noted that little work focused
on studying the protein diseases classification.

Objective:
The contribution of this paper is to present a deep learning approach that classifies protein
diseases based on protein descriptors.

Methods:
Different protein descriptors are used and decomposed into modified feature descriptors.
Uniquely, we introduce using the Convolutional Neural Network model to learn and classify protein
diseases. The modified feature descriptors are fed to the Convolutional Neural Network model on a dataset
of 1563 protein sequences classified into 3 different disease classes: AIDS, Tumor suppressor, and
Proto-oncogene.

Results:
The usage of the modified feature descriptors shows a significant increase in the performance
of the Convolutional Neural Network model over Support Vector Machine using different kernel functions.
One modified feature descriptor improved by 19.8%, 27.9%, 17.6%, 21.5%, 17.3%, and 22% for
evaluation metrics: Area Under the Curve, Matthews Correlation Coefficient, Accuracy, F1-score, Recall,
and Precision, respectively.

Conclusion:
Results show that the prediction of the proposed CNN model trained by modified feature
descriptors significantly surpasses that of Support Vector Machine model.
Naturally Occurring O-Heterocycles as Anticancer Agents
Authors: Avula Satya Kumar , Das Biswanath , Csuk Rene , Al-Harrasi Ahmed 
Published: November 2021

Abstract:
Cancer is a leading cause of death worldwide. Proper efficient drugs are required to treat this deadly disease.
Natural products have long been a vital source of anticancer agents and they have generated various “lead compounds”
suitable for drug developments. With the recent advancement of chemical synthesis and bioevaluation techniques,
these lead compounds of natural origins have been utilized for the production of useful anticancer drugs. Among the
naturally occurring bioactive compounds, various O-heterocycles have been evaluated as remarkable cancer therapeutic
agents. These compounds generally possess unique structures and novel mechanisms of action.
In the present review article, some selected O-heterocycles as promoting anticancer agents have been discussed in
brief. Various natural sources and chemistry, as well as bioactivities of these compounds, have been described. The
development of improved analogues of these compounds through synthetic modifications and efficient bioevaluation,
along with proper studies on structure-activity relationship and mechanism of actions, has been mentioned. The article
has demonstrated the recent relevance of naturally occurring O-heterocyclic compounds in the current anticancer drug
discovery and development scenario.
Regulation of Cell Death Mechanisms by Melatonin: Implications in Cancer Therapy
Authors: Liu Yanqing , Musa Ahmed Eleojo , Wang Zicheng 
Published: November 2021

Abstract:
Cancer therapy is based on the killing of cancer cells using various therapeutic agents, such as radiation,
chemotherapy or targeted therapy drugs, and immunotherapy. Cancer cells may undergo apoptosis, mitotic catastrophe,
necrosis, autophagy, mitophagy, senescence, etc., depending on the therapeutic modality and nature of cancer cells.
Mutations in some critical genes, such as p53 and phosphatase and tensin homolog (PTEN) tumor suppressor genes,
are associated with immune escape of cancer cells and tumor progression. Furthermore, the overexpression of some
genes. such as phosphatidylinositol-3-kinase (PI3K), nuclear factor of Kappa B (NF-κB), cyclooxygenase-2 (COX-2)
and mammalian target of rapamycin (mTOR), is associated with the resistance of cancer cells to various types of cell
death. Melatonin is known as a circadian regulator hormone that has several anti-cancer properties. It has the ability to
activate tumor suppressor genes and attenuate the expression of survival genes in cancer cells. Modulation of cell death
or survival genes that have been disrupted or overexpressed in cancer cells can improve cancer therapy. In this review,
we explain the potential of melatonin in regulating various mechanisms of cancer cell death.
Phenomenology in Gerontology: From Philosophy to Method
Authors: Hamedanchi Arya , Zanjari Nasibeh , Khankeh Hamid Reza , Momtaz Yadollah Abolfathi 
Published: November 2021

Background:
Ageing is a complex phenomenon, which can vastly influence
different dimensions of life. One of the main concerns in gerontology is
to understand how older adults experience ageing and its associated conditions.
The aim of this study was to determine the role of phenomenology as a qualitative
method in gerontology research.

Methods:
In this review study, we summarized the key concepts in gerontology,
reviewed the philosophy and methodology of phenomenology, presented both descriptive
and interpretive phenomenological methods, and highlighted the areas
which can be explored in ageing by phenomenology. We also presented some examples
for studying the lived experiences of older adults using phenomenological
methods.

Results:
People experience noticeable changes in their body, emotions and social
relations as they grow old. The biopsychosocial aspects of ageing are discussed
in gerontology as a growing interdisciplinary science. Phenomenology allows the
researchers to obtain a deep understanding of older adults ׳ lived experiences and
it can connect the investigators of this discipline to the inner world of ageing
adults.

Conclusion:
Based on the findings, it can be concluded that ageing is an important
experience in life, and phenomenological reflection on the lived experiences
of older adults can play a crucial role in increasing our knowledge about ageing.
RESILIENCIA URBANA; APRENDER A HABITAR CON LAS AMENAZAS DE LA NATURALEZA La Experiencia del Terremoto y Tsunami de 2010 en las Costas del Bío Bío.
Authors: Baeriswyl Rada Sergio 
Published: November 2021

Chile ha sido recientemente asolado por catástrofes naturales de gran magnitud, que han tenido como denominador común a las ciudades. Estos eventos naturales han dejado una huella de enorme destrucción, pero ante todo han desnudado una realidad urbana del país, que incomoda y de la cual incluso nos debiéramos sentir avergonzados. En efecto, la destrucción de las ciudades costeras por el tsunami del 27 de febrero de 2010, o el incendio en los cerros de Valparaíso de abril de 2014, son la evidencia alarmante de una política pública mal enfocada, o bien, de la ausencia absoluta de ella, en todo lo referente a planificación urbana y gestión de riesgos. Es muy difícil comprender que un país como Chile, con una historia tan larga de catástrofes naturales, no haya forjado una cultura de la planificación urbana en coherencia con esta condición de nuestro territorio. Tenemos una gran experiencia en procesos de reconstrucción, pero pareciera que no hemos sido capaces de transformar éstas -con sus errores y aciertos- en aprendizajes, en métodos, en estrategias o políticas públicas con un enfoque urbano, capaz de entregarles a las ciudades mejores condiciones para sobrellevar las amenazas de la naturaleza. Esto debiera ser una de las principales preocupaciones de la planificación urbana en Chile, ya que la vulnerabilidad de las ciudades pone en juego lo más básico del bienestar y calidad de vida de las personas, cual es, la seguridad de sus vidas y de su patrimonio.
Parque fluvial en quebrada San Francisco, Valparaíso
Authors: Bidart Santander Camila 
Published: November 2021

La ciudad de Valparaíso presenta una serie de cuencas hidrográficas que emergen a partir de las altas pendientes de sus cerros en dirección al Océano Pacífico, y cuya morfología es capaz de brindar servicios eco-sistémicos. En particular, el sistema de cuencas generado a partir de la quebrada San Francisco resulta de especial interés, ya que actúa como un corredor biológico, teniendo así el potencial de preservar la biodiversidad local. Considerando estos atributos, y a raíz del descubrimiento de un sistema de recolección de aguas lluvias abandonado que tenía como fin encauzar las aguas de éste y de otros sistemas hidrográficos de la ciudad, se propone la construcción de un parque fluvial que enlaza la naciente de la cuenca San Francisco con su desembocadura en el barrio puerto. Este proyecto busca por un lado poner en valor el sistema de cuencas hidrográficas de la ciudad, y dar cuenta de sus propiedades ecológicas. Así también, se desea potenciar este hallazgo arqueológico, parte del patrimonio histórico de la ciudad, acogiendo el flujo natural de agua que dio origen a su construcción.
PERFORMANCE ANALYSIS OF OPTICAL SPHERICAL WAVE IN BIOLOGICAL TISSUE
Authors: ALTAY ARPALİ Serap 
Published: November 2021

In this study, bit error rate (BER) of optical spherical wave is investigated to analyze the performance of spherical wave through in soft tissue. Within this scope, average BERs (&lt;BER&gt;) of optical spherical wave are extensively examined depends on the different tissue and turbulence parameters that are random changes in the refractive index of the soft tissue, the tissue length from source to receiver, and the outer scale of the tissue turbulence. It is observed from the outputs that the (&lt;BER&gt;) increases with increasing value of outer scales, tissue lengths and random changes in the refractive index of the soft tissue. Also we investigated (&lt;BER&gt;) values of the optical spherical wave for the different values of the one half of the quantified slope in the range of power-law scaling. It is found that smaller &lt;BER&gt;s of the spherical wave are obtained for decreasing values of one half of the quantified slope in the range of power-law scaling.
FPGAs in The Cloud
Authors: Leeser Miriam , Handagala Suranga , Zink Michael 
Published: November 2021

As cloud computing grows, the types of computational hardware available
in the cloud are diversifying. Field Programmable Gate Arrays (FPGAs)
are a relatively new addition to high-performance computing in the
cloud, with the ability to accelerate a range of different applications,
and the flexibility to offer different cloud computing models. A new and
growing configuration is to have the FPGAs directly connected to the
network and thus reduce the latency in delivering data to processing
elements. We survey the state-of-the-art in FPGAs in the cloud and
present the Open Cloud Testbed (OCT), a testbed for research and
experimentation into new cloud platforms, which includes
network-attached FPGAs in the cloud.
Analisis Spasial pada Model Perekonomian Sumatera Bagian Selatan
Authors: Ciptawaty Ukhti 
Published: November 2021

This study tries to use the Spatial concept by analyzing the observed spatial patterns and spatial autocorrelation, as well as evaluating the spatial modeling of each region in 60 districts/cities in five Southern Sumatra Provinces. This research used Geoda. Geoda will then provide a spatial description of the condition of the percentage of GRDP presented in the Moran I statistics, LISA and LISA Clusterd Map in 2015-2019.
The results of this study are expected to show the spatial relationship of GRDP between 60 regencies/cities in five provinces in Sumbagsel and be able to indicate how the spatial relationship is in the clustered pattern of regions with the same characteristics. Furthermore, the LISA Cluster map is expected to describe the grouping of GRDP in 11 regions. The SAR model was chosen to analyze cases of spatial linkage. This study will further provide an economic analysis of how the percentage of the population and GRDP influence, In addition, this study will examine how the influence of the Development Index and poverty on GRDP. Therefore, this research will be one of the studies that has the latest updates because it uses two approaches; spatial approach and economic approach presented in the results of the discussion and discussion.
The Notion of Power and Liberalism Evolution
Authors: Matveychev Oleg A. 
Published: November 2021

The author of the article makes the attempt to explain the evolution of liberalism and even broader, of human history not through the evolution of the notion of freedom, that became the philosophic mainstream already at the time of Hegel and was convenient for liberalism itself, but on the basis of the notion of power analysis that is interpreted by the liberals as opposite to freedom. Proceeding from the linguistic and political history data, the author demonstrates the multi-components character of the notion of power that is interpreted as: 1) some intriguing and “charming” authority ensuring harmony and order; 2) the source of legal violence; 3) the promise of advantages that leads to voluntary assuming certain responsibilities; 4) dependence on the source of want satisfaction; 5) passion, irrational dependence. The present notion of power structure is coherent to the Varna system specific for Indo-European nations; each Varna has its own, specific only for it, understanding of power. In various epochs and in various societies we find a specific governing notion of power. So, in Russia since ancient times the worldview of Kshatriyas prevailed and it still determines to a large extent its civilizational specifics. The classic western liberalism was characterized by the Vaishyas ideology dominance, i.e. the bourgeois class; on the contrary modern liberalism, libertarianism share the world view of the “classless society” of the Dalits (“gone astray”), whose dominance deprives the world of controllability and destructs all vertical hierarchy. The way out of the universal crisis is possible only on the basis of new historical grounds that will become, according to Heidegger, “the new beginning of history”.
Optimalisasi Peran Perempuan Dalam Berwirausaha Melalui Pelatihan Literasi Keuangan Pada UMKM Produk Kerajinan Rajutan
Authors: Tasman Abel , Megawati Megawati , Maulana Arief 
Published: November 2021

Dalam keluarga, laki-laki sebagai suami adalah tulang punggung yang menafkahi keluarga dengan didukung oleh peran perempuan sebagai istri apabila dia bekerja. Perempuan yang tidak bekerja tetapi ingin mendukung perekonimian keluarga akan berwirausaha dengan harapan mendapatkan tambahan penghasilan untuk meningkatkan kesejahteraan keluarga. Kelompok Perempuan Pengrajin Rajutan Ayang adalah kelompok pengrajin perempuan yang menghasilkan kerajinan rajutan berupa dompet, tas pesta, tas kerja, tempat botol minum dan gantungan kunci. Usaha yang didirikan oleh kelompok pengrajin kerajinan rajutan Ayang ini termasuk usaha mikro. Usaha ini berlokasi di Korong Balai Usang, Nagari Sintuk, Kec. Sintuk Toboh Gadang, Kab. Padang Pariaman.Sebagai perempuan yang berwirausaha, harapan dari kelompok mitra adalah tercapainya kesejahteraan keluarga dengan peran mereka sebagai pendukung perekonomian keluarga. Akan tetapi kesejahteraan itu belum tercapai dengan berbagai keluhan dari kelompok mitra. Hal ini berarti peran perempuan sebagai wirausaha yang diharapkan dapat mendukung perekonomian keluarga belum optimal. Hal ini disebabkan oleh beberapa hal. Pertama, pengetahuan kelompok mitra dalam mengelola keuangan keluarga masih terbatas. Kelompok mitra belum membuat anggaran dan belanja rumah tangga, sehingga dalam praktiknya tidak disesuaikan dengan income. Kedua, kelompok mitra belum ada membuat pembukuan usaha secara sederhana seperti laporan keuangan sederhana dan neraca, sehingga kemajuan dan perkembangan usaha tidak dapat diukur. Ketiga, kelompok mitra belum dapat menentukan harga pokok dan harga jual produk kerajinan sesuai dengan prinsip akuntansi. Keempat, kelompok mitra belum mengenal pemasaran secara online, sehingga pangsa pasar produk kerajinan terbatas, mengakibatkan omzet penjualan rendah. Kelima, kurangnya inovasi dalam hal motif dan disain produk kerajinan rajutan. Metode pelaksanaan Program Kemitraan Masyarakat untuk mencari solusi atas permasalahan yang dihadali oleh kelompok mitra ini adalah melalui ceramah, diskusi, dan simulasi untuk pengelolaan keuangan keluarga, keuangan usaha, penentuan harga pokok danharga jualserta media promosi online. Demonstrasi dan praktikum digunakan untuk pembuatan produk kerajinan rajutan yang inovatif dan kreatif.Kegiatan pengabdian kepada masyarakat ini telah dilaksanakan pada tanggal 18 September 2020 mulai pukul 07.30 sampai selesai. Jumlah peserta yang hadir adalah 20 orang. Setelah kegiatan dilaksanakan, melalui penyebaran kuisioner kepada peserta, dapat diketahui bahwa telah terjadi peningkatan pemahaman dan pengetahuan peserta tentang literasi keuangan, pemasaran online, penghitungan harga pokok produk dan inovasi motif. Dengan diterapkannnya pengetahuan yang diperoleh selama kegiatan ini, diharapkan akan tercapainya optimalisasi peran perampuan wirausaha ini dalam mendukung perekonomian keluarga. Kata kunci: Literasi keuangan; pemasaran online; harga pokok; inovasi motif
Analisis Sensitivitas Respon Mahasiswa Terhadap Perluasan Merek Shampo Lifebuoy
Authors: Nuramalia Indri , Effendi Z Mawardi 
Published: November 2021

The purpose of this study was to determine the level of sensitivity of students to brand expansion of Lifebuoy shampoo at the State University of Padang and to find out the direction of the response of UNP students to brand expansion of Lifebuoy shampoo. This type of research is a survey with a descriptive approach. The population of this research is the students of Padang State University (UNP). The sample in this study was based on the Chocran formula as many as 100 respondents who were selected using the Non-Probability sampling method and purposive sampling technique. Using primary data obtained through distributing questionnaires to UNP students with certain criteria. The method used is the analysis of the direction of the consumer's response by calculating the strength of the response and stimuli as well as the sensitivity analysis of the response. The results showed that (1) The sensitivity of the response of UNP students from bar soap to lifebuoy shampoo was 2.41. because the size of this sensitivity is greater than 1, the sensitivity is considered a sensitive measure. (2) the response strength of UNP students from Lifebuoy bath soap to Lifebuoy brand shampoo is negative 157. Keywords : brand extension, sensitivity, direction of response
PROTOTIPE APLIKASI ENGLISH LEARNING FOR TOUR GUIDE GUNA MENINGKATKAN KEMAMPUAN BAHASA INGGRIS PEMANDU WISATA DI PULAU KARIMUNJAWA BERBASIS ANDROID
Authors: Zahro Fatimatul , Salsabiela Adiva , Hidayah Nurul , Muzid Syafiul 
Published: November 2021

Kepulauan Karimunjawa merupakan wilayah yang kaya akan Obyek dan Daya Tarik Wisata(ODTW). Keindahan aamnya mampu menarik minat banyak wisatawan lokal maupunmanca negara. Jumlah pemandu wisata kususnya untuk wisatawan lokal maupun mancanegara di Pulau Karimunjawa masih terbatas. Hal ini dikarenakan beberapa faktor, salah satunya adalah kurangnya kemampuan berbahasa Inggris para pemandu wisata. Selain itu pemandu wisata atau masyarakat yang ingin belajar bahasa Inggris harus keluar dari pulau untuk menemukan tempat kursus dan membutuhkan banyak waktu untuk belajar sehingga mereka harus meninggalkan kegiatan harian mereka. Kemampuan bahasa Inggris di dunia kepariwisataan sangat diperlukan oleh karena itu diperlukan inovasi salah satunya yaitu Aplikasi English Learning for Tour Guide(EL-Guide) yang dapat membantu para pemandu wisata untuk meningkatkan kemampuan bahasa Inggris mereka. Inovasi ini masih berupa prototipe aplikasi. Meskipun masih berupa prototipe tapi inovasi ini disusun disesuaikan dengan kebutuhan pemandu wisata. Kedepannya diharapkan prototipe aplikasi ini dapat direalisasikan menjadi produk yang dapat memberikan manfaat kepada masyarkat luas.
Assessing the burden of dengue among household members in Alaminos, Laguna, the Philippines: a prospective cohort study
Authors: Capeding Maria Rosario , de Boer Melanie , Damaso Silvia , Guignard Adrienne 
Published: November 2021

AbstractBackgroundThe incidence of dengue is increasing rapidly and is a challenging health issue in the Philippines. Epidemiological data are largely based on a passive-surveillance reporting system, which leads to substantial under-reporting of cases.ObjectivesTo estimate dengue infection and disease incidence prospectively at the community level in an endemic area of the Philippines using an active surveillance strategy.MethodsWe implemented active surveillance in the highly endemic community of Alaminos, Laguna. The study consisted of a 1-year follow-up with 2 visits scheduled at the start and end of the study, as well as regular active surveillance in between and unscheduled visits for suspected cases. Blood samples were collected and analyzed to detect dengue during the first scheduled visit and all unscheduled visits, and clinical examination was performed at all visits (registered at clinicaltrials.gov NCT02766088).ResultsWe enrolled 500 participants, aged from 6 months to 50 years; 76.2% were found positive for immunoglobulin G (95% confidence interval [CI], 71.9–80.0), with 92.0% among those aged 9–17 years. Active (weekly) surveillance identified 4 virologically confirmed cases of dengue (incidence proportion 0.8; 95% CI 0.3–2.1); all in participants aged ≤14 years.ConclusionsRoutine surveillance programs such as sentinel sites are needed to characterize the entire clinical spectrum of symptomatic dengue, disease incidence, and transmission in the community.
Classification of Open-End Investment Funds Using Artificial Neural Networks. The Case of Polish Equity Funds
Authors: Perez Katarzyna , Szczyt Małgorzata 
Published: November 2021

Abstract
In this study we utilise artificial neural networks to classify equity investment funds according to two fundamental risk measures—standard deviation and beta ratio—and to investigate the fund characteristics essential to this classification. Based on a sample of 4,645 monthly observations on 37 equity funds from the largest fund families registered in Poland from December 1995 to March 2018, we allocated funds to one of the classes generated using Multilayer Perceptron (MLP) and Radial Basis Function (RBF). The results of the study confirm the legitimacy of using machine learning as a tool for classifying equity investment funds, though standard deviation turned out to be a better classifier than the beta ratio. In addition to the level of investment risk, the fund classification can be supported by the fund distribution channel, the fund name, age, and size, as well as the current economic situation. We find historical returns (apart from the last-month return) and the net cash flows of the fund to be insignificant for the fund classification.