bluuebunny/crossref_metadata_2025_split huggingface dataset:
Como sociedad, ¿estamos protegiendo a los niños?
Authors: Rincón Balaguera Monica Paola 
Published: September 2022

Se realiza un análisis desde la vulnerabilidad y desprotección de las víctimas de la pedofilia y de manera más tangencial sobre el trato inadecuado que se les proporciona a los victimarios. Para ello, se tienen en cuenta varias perspectivas, especialmente la jurídica. El fenómeno se estudió a través de un método cualitativo, donde los documentos y la observación fueron el dato de interés. La información –que se recolectó y sirvió de sustento– fue extraída de contextos donde se han experimentado situaciones de pedofilia. En Colombia, el problema del abuso sexual de menores ha tomado dimensiones inesperadas, siendo necesario replantear la política criminal, y todas aquellas políticas que resultan conexas para su prevención; la mayoría de estadísticas señalan que esta es una de las formas más graves de lesionar la integridad física, moral y psicológica de las víctimas. La pedofilia, considerada como delito, sancionada con penas que no cumplen con sus fines y no brindan protección a los menores de edad; permite realizar un reproche a la ineficacia e insuficiencia de la norma y la política criminal frente a este trastorno, en una sociedad donde la protección real y efectiva de los derechos de los niños se ha vuelto necesidad.
Epistemologies of fire: an approach from ancestral thoughts
Authors: Sánchez Riaño Federico , Mora Aura Isabel 
Published: September 2022

This article reveals an investigation carried out on the production of ancestral thoughts from the rituals of many native populations of America (Abya Yala) in what has been called by the authors “Epistemologies of fire”. Here their ways of production, search and transmission of knowledge are set which, from the ancestral, have been used by indigenous communities for the construction of a community, privileging how each being thinks of itself inside a world view and a cosmic intelligence1 that allows for bases to be laid to confront the idea of internal and external separation, that has been pursued by human beings since the western construction of the world.

Continuing with the idea elaborated by other authors of a pluriverse (a world where many worlds can fit), these epistemologies based in the recognition of diversity contribute as well to the construction of an academic polyphony that can recapture these native sciences to integrate their knowledge and the way of producing them to expand the perspectives in Social Sciences.

Continuing with the idea woven by other authors of a pluriverse (a world where many worlds fit), these epistemologies based on the recognition of diversity also contribute to the construction of an academic polyphony that can take up these native sciences to integrate their knowledge and way to produce them to broaden the perspectives in the Social Sciences.

An immersion work was developed using learning and description methodologies specific to the villages with which the work was carried out. This allowed us to carry out an exercise in careful listening to the spoken word of the elderly (knowledgeable grandparents) and participation in their rituals, which are understood as ancestral pedagogies.
Analisis Perbandingan Harga Saham, Volume Perdagangan, Dan Frekuensi Perdagangan Saham Sebelum Dan Sesudah Pengumuman Kasus Pertama Covid-19 di Indonesia (Event Study Pada Perusahaan Telekomunikasi Yang Terdaftar di BEI)
Authors: Sukma Fanny Dewi , Susandini Aprilina 
Published: September 2022

This study aims to find out and compare the stock price, trading volume, and frequency of trading shares of telecommunication companies before and after the announcement of the first case of Covid-19 in Indonesia. The population in this study are companies that included in the Telecommunication Sub-Sector listed at IDX. The samples in this study used purposive sampling, where only 14 companies met the criteria. In this study, the data used is 30 days before and after the announcement of the first case of Covid-19 i n Indonesia. The hypothesis test used is Wilcoxon Signed Rank Test.The result showed that: 1) there is a significant differences in the stock price and trading volume of telecommunications companies before and after the announcement of the first case of Covid-19, 2) there is no significant difference in the frequency of trading shares of telecommunications companies before and after the announcement of the first case of Covid-19.
TOPONIMI PENAMAAN JALAN DI KECAMATAN LASALEPA KABUPATEN MUNA
Authors: Halfian Wa Ode , Hariyati Hariyati , Masri Fina Amalia 
Published: September 2022

Penelitian ini dilatarbelakangi oleh banyaknya nama-nama jalan yang bermunculan di Kecamatan Lasalepa. Nama-nama tersebut sebagian terasa asing bahkan memilki makna yang unik dan lucu bagi masyarakat baik yang berada di daerah tersebut maupun dari luar daerah yang melewati jalan-jalan tersebut. Penamaan jalan-jalan tersebut tentunya tidak lepas dari latar belakang budaya masyarakat setempat. Oleh karena itu, Penelitian ini bertujuan untuk mendeskripsikan toponimi penamaan jalan yang ada di Kecamatan Lasalepa Kabupaten Muna. Teori yang digunakan dalam penelitian ini adalah teori semantik, antropolinguistik dan toponimi. Penelitian ini merupakan penelitian lapangan dangan menggunakan metode deskriptif kualitatif. Teknik pengumpulan data dalam penelitian ini adalah dengan menggunakan teknik wawancara, teknik catat, dan teknik rekam. Hasil penelitian ini menunjukkan bahwa Nama-nama jalan di Kecamatan Lasalepa sebagian besar tidak memiliki papan nama, namun masyarakatnya mampu mengetahui letak nama-nama jalan tersebut dengan baik, di mana mereka mampu menunjukkan arah dan lokasi dari nama-nama jalan tersebut tanpa adanya kekeliruan. Nama-nama jalan di Kecamatan Lasalepa Kabupaten Muna dilatarbelakangi oleh dua aspek penamaan, yaitu aspek perwujudan (Jalan Nambo, Jalan La Sari Muna, Jalan Wa Sandu-Sandu, Jalan Malaowaha, Jalan Tani, Jalan Bangunsari, dan Jalan Cendana) yang meliputi latar perairan dan Latar Permukaan Tanah atau Rupabumi (Geomorfologis), aspek kemasyarakatan (Jalan Kabuluha, Jalan Pogauha, Jalan Cumi-Cumi, Jalan Lamodandu, Jalan Laode Oha, dan Jalan La Rengku) yang meliputi kebiasaan masyarakat dan tokoh masyarakat. Sistem tanda dalam toponimi nama-nama jalan di Kecamatan Lasalepa Kabupaten Muna meliputi simbol, gagasan, dan acuan (referent). Di mana simbol dan gagasan memiliki hubungan yang bersifat langsung. Artinya simbol dan gagasan tersebut merupakan pasangan otomatis. Sedangkan hubungan antara acuan dan simbol bersifat tidak langsung.
LncRNA SNHG16 facilitates the liver metastasis of colorectal cancer by modulating circulating tumor cell epithelial-mesenchymal transition via a positive feedback loop with the YAP1/TEAD1 complex
Authors: Xiang Zhenxian , Huang Guoquan , Wu Haitao , He Qiuming , Yang Chaogang , Dou Rongzhang , Liu Qing , song jialing , Fang Yan , Wang Shuyi , xiong bin 
Published: September 2022

Abstract
Background: Circulating tumor cells (CTCs) are important precursors of colorectal cancer (CRC) metastasis. The epithelial-mesenchymal transition (EMT) process facilitates CTC invasion by allowing these cells to evade antimetastatic checkpoints to mediate distant metastasis. However, the molecular mechanism of CTC EMT remains largely unknown.
Results: Here, we studied the oncogenic long noncoding RNA (lncRNA) SNHG16, whose expression is correlated with advanced TNM stage, distant metastasis, and a poor prognosis in CRC patients. Furthermore, loss- and gain-of function revealed that SNHG16 promoted CRC proliferation, migration, invasion, EMT, mesenchymal-type CTC (MCTC) generation, and liver metastasis through YAP1. Mechanistically, SNHG16 could act as a miRNA sponge to sequester miR-195-5p on Ago2, thereby protecting YAP1 from repression. Moreover, YAP1 could combine with TEA domain transcription factor 1 (TEAD1) to form a YAP1/TEAD1 complex, which could in turn bind to the promoter of SNHG16 and regulate its transcription. Finally, we demonstrated that YAP1 significantly promoted tumor progression, and that SNHG16 rescued the effect of YAP1 on tumor progression.
Conclusion: Herein, we clarified a hitherto unexplored SNHG16-YAP1/TEAD1 positive feedback loop, which may be a candidate target for CRC treatment.
Diversified Substrate Implementation for the Design and Analysis of Microstrip Antenna for 5g Applications
Authors: M Ramya , G BalaMurugan , C Arunachalaperumal , S Suvitha 
Published: September 2022

Abstract
Now, wireless communication is in the 5G era. As the wireless communication technology grows rapidly, the devices are directly connected to the internet through wireless medium. This device requires high speed communications. In order to fulfill this requirement, researchers have to improve the bandwidth of transmitting and receiving antenna in the existing design. This paper gives the clear view of bandwidth enhancement by using Taconic TLX-9 substrate material of dielectric constant 2.5. With the help of CST Studio Suite Simulation Tool, a rectangular microstrip antenna was designed under the operating frequency of 3.5 GHz using three different substrate materials such as FR 4, Rogers RT 5870, and Taconic TLX-9. To improve the bandwidth, a proximity coupled feeding technique was used in this proposed model. An analysis was performed with this substrate material. This analysis concludes that the Taconic TLX-9 substrate material gives the bandwidth of 593.7 MHz at a return loss of -35dB. The maximum gain of 7.1dB was achieved under 3.5 GHz and also 6.823 was obtained under 3.5 GHz. The proposed antenna design can be used for 5G application (mid band). Further, the bandwidth, gain, directivity, return loss can be improved by introducing parasitic elements, arrays, SIW concepts etc.
Monitoring and prevention of urban fire based on Internet of Things (IoT) and NodeMCU
Authors: kuate Jean Marie fotso , Isaoura Bénite , Fotso Guy Phares Fotso , Nanfack Pélagie Flore Temgoua 
Published: September 2022

Abstract
Cloud computing has made it easier to access various forms of data and services through the Internet. coupling it to sensor networks makes it possible to significantly overcome the storage and computing performance limits of heterogeneous objects in the Internet of Things (IoT). In Cameroon, IoT is not yet very widespread. We use it here to monitor and prevent urban fires in real time, using a set of temperature, humidity, gas, flame and electrical power sensors that are integrated on NodeMCU, in view to detect fire starts and generate an alert. The data collected is stored and processed on ThingSpeak; a second analysis is carried out locally. After calibrating the sensors, we analyzed the data and carried out a correlation test to identify the most sensitive data for the alert system. The correlation coefficient of -0.721015 between temperature and humidity allowed us to maintain the system based on data quality.
Implementation of Energy-Efficient Auto Clustering Framework for Improving Quality of Service in IoT-enabled WSN Applications
Authors: P PARUTHI ILAM VAZHUTHI , S.P MANIKANDAN , A PRASANTH 
Published: September 2022

Abstract
In today’s world, emerging Internet of Things (IoT) technology have the most potential to extend the influence of the internet through IoT-enabled devices in futuristic fields such as smart healthcare, commercial, and industrial applications. Wireless Sensor Network (WSN) is utilized for sensing and communication processes over IoT-based applications. However, the battery energy of the sensor nodes is restricted in IoT-enabled WSN (IWSN) owing to its irreplaceable ability. Most of the existing clustering schemes lagged to mitigate the control packet overhead problem since it consumes extra energy for data computation, gathering, and forwarding tasks at any environmental conditions. In this paper, a novel Energy-Efficient Auto Clustering (EEAC) framework has been proposed to develop the effective IWSN model with enhanced quality of service. The EEAC framework comprises three phases such as zone formation, node classification, and auto clustering phases. The objective of the first phase is to significantly form the different zones by alleviating the hotspot problem. Subsequently, the fuzzy logic algorithm is employed in the second phase to classify the nodes as Master, Sub-Master, and member nodes. Finally, the third phase of the proposed framework will accomplish the auto clustering mechanism based on hop information received from the reported packet. The performance results evident that the proposed EEAC framework obtains a lesser energy consumption of 0.01J during dense network and the network lifetime is prolonged up to 48% when compared with existing state-of-the-art clustering models.
Vehicle detection on unstructured roads based on Transfer learning
Authors: Punagin Sahana , Iyer Nalini 
Published: September 2022

Abstract
Deep learning has seen tremendous progress in various fields. Autonomous Vehicle is one such field wherein the central branch of Computer Vision i.e Object detection serves as a key task. However, the performance of various algorithms depends on the scenarios where they are used. In this paper, an attempt is made to test the algorithms on unstructured roads with diverse data distributions. For this purpose, the single-stage network, YOLOv2 is demonstrated for vehicle detection on which transfer learning is applied. Along with the base model, the network uses Berkeley Deep Drive (BDD) dataset for knowledge transfer. Using BDD with YOLOv2 network, the model gives mAP of 72.4% and when the same model is tested in an unstructured environment using Indian Driving Dataset (IDD), it gives mAP of 56.76%.
Flexible MIMO Antennas for 5G Applications
Authors: kulkarni neeta premkumar , Bahadure Nilesh Bhaskarrao , Patil P. D. , Kulkarni Jayshri S. 
Published: September 2022

Abstract
5G is emerging as a next-generation technology which enhances capacity, provides very low latency, very high data rates, and good quality of service. For any 5G device to operate successfully, design and development of antenna plays very important role. Antenna should be compact in size, cost effective and should cover the desired 5G band with enhanced bandwidth, gain, and negligible radiation losses. The shrinking size of the futuristic and next-generation wireless devices will need miniaturized and tightly assembled antennas without affecting the performance. With the number of antennas increased in the MIMO system it will be difficult to meet the space constraint of next-generation devices. Also, with the innovation and ever-increasing demand for flexible electronic devices, there will be a need to design flexible antennas for such devices. Flexible antennas are having tremendous applications in Gateways and Routers, Wireless Access Points, High-speed HD streaming, Handheld Devices, Highcapacity MIMO networks for Public Transportation. This paper explains the concept of flexible antennas, the various types of substrates used for antenna fabrication. It also covers the various types of flexible MIMO antennas for 5G applications.
Primary User Spectrum Prediction Based on Supervised Model using Deep Radio
Authors: D sumithra sofia , A Shirly Edward 
Published: September 2022

Abstract
Sensing time plays an important role in Cognitive radio functionalities. The main approach of this paper is to predict the pattern of the primary user spectrum in order to reduce the battery power of the cognitive user in sensing the primary user spectrum continuously. We have developed a CNN-LSTN based model for predicting a traffic method with more accuracy. This method is relatively tested for different frequency bands of existing mobile operators using the deep radio.
A spatial beam property analyzer based on dispersive crystal diffraction for low-emittance X-ray light sources
Authors: Samadi Nazanin , shi Xianbo , Loch Cigdem Ozkan , Krempasky Juraj , Boege Michael , Chapman Dean , Stampanoni Marco 
Published: September 2022

Abstract
The advent of low-emittance synchrotron x-ray sources and free-electron lasers urges the development of novel diagnostic techniques for measuring and monitoring the spatial source properties, especially the source sizes. This work introduces an x-ray beam property analyzer based on a multi-crystal diffraction geometry, including a crystal-based monochromator and a Laue crystal in a dispersive setting to the monochromator. By measuring the flat beam and the transmitted beam profiles, the system can provide a simultaneous high-sensitivity characterization of the source size, divergence, position, and angle in the diffraction plane of the multi-crystal system. Detailed theoretical modeling predicts the system’s feasibility as a versatile characterization tool for monitoring the x-ray source and beam properties. The experimental validation was conducted at a bending magnet beamline at the Swiss Light Source by varying the machine parameters. A measurement sensitivity of less than 10% of a source size of around 12 μm is demonstrated. The proposed system offers a compact setup with simple x-ray optics and can also be utilized for monitoring the electron source.
Multi-source Information Fusion Based Attributed Heterogeneous Network Embedding
Authors: Zheng Susu , Guan Donghai , Yuan Weiwei 
Published: September 2022

Abstract
Attributed heterogeneous information network embedding is an emerging research topic in the field of network embedding. It can not only embed nodes with complex heterogeneous information into a low-dimensional space, but also preserve the rich attributed information of nodes. Existing works usually only use single-source information of node attributes or network structure, or simply use some shallow models to fuse multi-source information. These methods will lose the original network information and cannot make full use of the rich multi-source information in the attributed heterogeneous network, thus affecting the expression quality of the network embedding. To solve this problem, we propose a multi-source information fusion based attributed heterogeneous network embedding model (MAHE), which improves embedding performances through the deep fusion of heterogeneous structural information and node attribute information. The MAHE model first calculates the attribute similarity of nodes and the node structure similarity calculated by different meta-paths. Then the node attribute similarity matrix is weighted and fused with multiple heterogeneous similarity matrices to obtain multiple multi-source information similarity matrices. This aims to complement the attribute information with the semantic information of different meta-paths. The autoencoder is then used to learn the embeddings of nodes in each multi-source information similarity matrix. Finally, the attention mechanism is used to fuse these node embeddings to learn the importance of different multi-source embeddings.Experiments on three datasets show the superiority and effectiveness of the MAHE model.
Groundwater arsenic poisoning in a primary educational institution: health risks to school-going children
Authors: Rana Md. Sohel , Alam Md. Jahangir , Musa Md. Abu , Kumar Sazal , Rahman Md. Aminur 
Published: September 2022

Abstract
This study aimed to estimate arsenic (As) and iron (Fe) content in tubewell water (n = 58) in primary educational institutions and subsequently assess the health risks to school-going children. Results described that the As concentration ranged between 0.002 and 0.994 mg∙L-1 with an average value of 0.044 mg∙L-1; which exceeded the World Health Organization (WHO) provisional guideline value of 0.01 mg∙L-1. Similarly, the Fe content varied from 0.05 to 10 mg∙L-1 averaging to 2.84 mg∙L-1. Samples of 55.17 % contained a greater As concentration than 0.01 mg∙L-1 and 18.97% greater than Bangladesh drinking water quality (BDWQ) standardof 0.05 mg∙L-1, respectively. Meanwhile, 75.86 % of samples contained a higher Fe concentration than the maximum Bangladesh permissible limit of 1 mg∙L-1. Health risk assessment indicated that girls are more vulnerable than boys are. The average hazard quotients (HQs) for As intake through drinking water were 6.01 ± 17.85 and 7.41 ± 22.03 for boys and girls, respectively, implying non-carcinogenic health risks to both genders. The HQs for Fe intake were less than threshold value of 1 indicating no health issues may arise from Fe intake alone. However, consumption of As and Fe may trigger health risks to students as indicated by the hazard index (HI), which was higher than 1.The average cancer risk (CR) values for both boys (0.0027 ± 0.008) and girls (0.0033 ± 0.0099) exceeded the threshold limit of 10-6–10-4, suggesting a possibility of lifetime cancer risks to the school-going children. Consequently, school authorities should find alternative ways to ensure safe drinking water for school-going children to avoid possible cancer and non-cancer health risks through consumption of As-poisoning water.
Severe hypertriglyceridemia causing pseudo-acidosis: a case report
Authors: Gupta Sushan , Ojha Adarsha , Temitope Shodunke 
Published: September 2022

Abstract
Background: Pseudo hypobicarbonatemia is a rare phenomenon associated with spuriously low bicarbonate levels in the presence of elevated triglycerides (TG). TG's interfere with commonly used enzymatic assays in BMP, giving falsely low bicarbonate levels. It adds to the diagnostic dilemma and possible extensive workup to identify the cause. Previous case reports have used plasmapheresis in these settings. We report the successful use of insulin infusion in managing a case of pseudo-acidosis secondary to severely high TG levels.
Case presentation: Our patient was a 53-year-old female who presented with complaints of progressive fatigue. Her bicarbonate was 5 mmol/L on workup, anion gap was 30 mmol/L, with elevated TG levels. (5904 mg/dL). Arterial blood gas analysis showed normal pH (7.32) and normal calculated bicarbonate. (22.8mEq/L) Insulin infusion was started along with adding fenofibrate and atorvastatin. TG levels decreased progressively to 509 mg/dL with an associated normalization of bicarbonate levels and anion-gap acidosis on BMP. The patient was discharged on day 8 of her hospital stay.
Conclusion: Hyper TG can lead to pseudo hypobicarbonatemia, presenting as pseudo anion gap metabolic acidosis. It is essential to correlate the lab findings in the perspective of clinical findings to avoid over-testing and clinical misdiagnosis. In addition, these patients can be managed safely with insulin infusion in resource-limited settings.