Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancing a mobile application with contextual information delivery using proximity beacon: a preliminary study at a tourist destination

cell phones has developed from simply messaging and calling to multimedia related capacities, video gaming, productivity tools, and travel guides. This present paper proposes a development of mobile application in order to enhance and attract tourists to visit the tourism destinations. In this study, the technologies used are geofence and proximity beacon which can be placed at any attractive points programmed to deliver information when tourists are in proximity ranges of the beacon transmission signal. In addition, the information will be automatically pushed and displayed in the application. This study was conducted at Melaka Zoo, Malaysia. This paper reviews related articles on contextual awareness, location-based services, proximity beacon, geofence, mobile cloud computing, and tourism industry in Section 2.
Multimodal sentimental analysis for social media applications: A comprehensive review

The analysis of sentiments is essential in identifying and classifying opinions regarding a source material that is, a product or service. The analysis of these sentiments finds a variety of applications like product reviews, opinion polls, movie reviews on YouTube, news video analysis, and health care applications including stress and depression analysis. The traditional approach of sentiment analysis which is based on text involves the collection of large textual data and different algorithms to extract the sentiment information from it. But multimodal sentimental analysis provides methods to carry out opinion analysis based on the combination of video, audio, and text which goes a way beyond the conventional text‐based sentimental analysis in understanding human behaviors. The remarkable increase in the use of social media provides a large collection of multimodal data that reflects the user's sentiment on certain aspects. This multimodal sentimental analysis approach helps in classifying the polarity (positive, negative, and neutral) of the individual sentiments. Our work aims to present a survey of recent developments in analyzing the multimodal sentiments (involving text, audio, and video/image) which involve human–machine interaction and challenges involved in analyzing them. A detailed survey on sentimental dataset, feature extraction algorithms, data fusion methods, and efficiency of different classification techniques are presented in this work.
Mental Health Status among Hospitalized Patients with COVID-19 in Iran

Objective: The recent escalated numbers of subjected COVID-19 patients and mortality rates have alerted the general population and authorities to its effects not only on physical health but also on different aspects of the society such as mental health. This study assesses the general mental health and immediate psychological impacts in hospitalized patients with COVID-19. Method: In this cross-sectional study, 88 patients from two tertiary hospitals in Tehran agreed to complete the surveys. The Impact of Event Scale-Revised (IES-R) and 12 item General Health questionnaire (GHQ-12) were used to evaluate mental health and impact of disease. Epidemiological and sociodemographic information entailing underlying diseases was assess by a researcher-made questionnaire. Results: We found that the psychological impact of the current pandemic is mild to moderate. During the initial phase of the pandemic, the intellectual engagements, inducing post event stress is not yet entirely developed. However, patients had a moderate to high probability of psychiatric morbidity with 63.6% and 28.4%, respectively. Conclusion: The effect of such viral pandemic on mental health is inevitable. As we conducted the study in the dire times of the outbreak, patients showed a high probability of psychiatric morbidity. On the other hand, since the study was done in the initial phase of the epidemic, we detected mild effects of the epidemic on PTSD in COVID-19 patients. Furthermore, several psychosocial protective programs should be implicated to address the mental complications.
Reptile and Amphibian Diversity and Abundance in an Urban Landscape: Impacts of Fragmentation and the Conservation Value of Small Patches

Urbanization is a major contributor to habitat loss and fragmentation and is considered a global threat to biodiversity. We studied reptile and amphibian species diversity and abundance in a highly fragmented landscape adjacent to the second largest metropolitan area in the United States. Habitat patches in our study area were made up of remnant native vegetation surrounded by roads, housing, and other urban development. Species richness and diversity were positively associated with patch size, but patch age was not significantly associated with community characteristics. Four relatively common species were not detected in the small patches, indicating the possibility they had been extirpated by the time monitoring began, and six rarer species were not detected or detected only once in these patches. Although the patch size effect on species diversity was strong, we found that several of the small habitat patches had similar diversity to large patches, indicating potential value of these small habitat patches in protecting species as “microreserves. ” In addition, one lizard species was found to be significantly more abundant in the smaller patches. To determine if abundance changed over time, we compared capture rates for four common lizards at the same sites ten years later. For three of the four species, abundance decreased over that period, specifically in the small patches. Although our long-term monitoring has confirmed that the full suite of herpetofauna is currently preserved in the study area overall, declines even in the common species over time hint at the potential severity of the threat of urbanization to rare species.
The moderating role of board gender diversity between power-based corporate governance and tax aggressiveness

The purpose of this study is to explore the moderating effect of board gender diversity on the relationship between power-based corporate governance (CEO power and concentrated ownership) and tax aggressiveness. The sample of this study is based on 2,071 firm-year observations over the period 2010 to 2018. We employed two-step GMM estimations to account for endogeneity and other statistical biases. The results show that CEO power increases the likelihood of tax aggressiveness while the link between the large controlling shareholders and tax-avoidance activities is not statistically significant. Lastly, the findings suggest that powerful CEOs manipulate female directors to promote tax aggressiveness behavior.
Spice modelling of a tri-state memristor and analysis of its series and parallel characteristics

Memristors are passive non ‐ linear circuit components with memory characteristics, and have been recognized as the fourth basic circuit component, along with resistors, capacitors, and inductors. It has been nearly half a century since the conceptualisation of the memristor, and related research has mainly focussed on the two aspects of binary and continuous memristors. However, compared with these two types of memristors, tri ‐ state and multi ‐ state memristors have greater data density per device, with rich dynamics and great potential in logic and chaotic circuit applications. Moreover, previous studies show that the series ‐ parallel connection of memristor generates more diverse circuit behaviours and increased capacity over a single memristor. However, most of this research is based on mathematical analysis, and lack behavioural circuit simulations or experimental validation. Here, the tri ‐ state memristor is proposed and the mathematic and equivalent Spice models of the tri ‐ state memristor is shown. Furthermore, the circuit characteristics are studied with a complete characterisation of its series ‐ parallel behaviours of the tri ‐ state memristor. Simulations are performed with LTSpice, and the results verify the theoretical analysis, which provides a strong experimental basis for the study of combinational memristive circuits.
Human disturbances increase vigilance levels in sika deer (Cervus nippon): A preliminary observation by camera-trapping

Many deer species exhibit typical vigilance behavior as an anti-predator response to human disturbances. However, vigilance behavior in sika deer (Cervus nippon) has not previously been assessed. I explored whether human disturbances increase vigilance in sika deer by comparing their behaviors in two areas with different levels of human activity using camera-trapping techniques. The deer spent a significantly higher proportion of time exhibiting vigilance behavior in the site with higher levels of human activity, supporting my initial hypothesis. In addition, their vigilance increased in winter, possibly due to hunting by humans. How to cite this article: Tsunoda H. 2021. Human disturbances increase vigilance levels in sika deer (Cervus nippon): A preliminary observation by camera-trapping // Russian J. Theriol. Vol.20. No.1. P.59–69. doi: 10.15298/rusjtheriol.20. 1.07.
Development of Import-Based Exports in Turkey: The ARDL Approach

Turkey adopted an export-dependent growth strategy after the 1980 liberalization. In later years, with the impact of this strategy, Turkey's export structure and performance became a subject of investigation. Thus, when the export structure is evaluated, dependence of the export oriented industries on capital goods, intermediate goods, and energy is remarkable. Therefore, in this study, the development of import-based exports in Turkey between 1996:1 and 2018:4 was tested by the ARDL bound test method. As a result of the analyses, the effect of intermediate goods, capital goods, and energy imports, which have a higher amount of imports than other imported goods in the short and long term in Turkey, is noteworthy. Hence, the study is important and different from other studies in that it verifies the Turkey’s industrial structure tending towards the assembly industry since its recent export structure has shown an import-oriented development and the share of imports of intermediate goods in its exports is high.
Sensitivity Towards Sociocultural Plagiarism in the Context of Varied Discipline among College Students

Article Information ABSTRACT Received: December 29, 2020 Revised: February 02, 2021 Accepted: February 15, 2021 Online: May 30, 2021 Socio-cultural plagiarism provides an understanding of the social values and attitudes among students in academic writing. Based on the rules and regulations of any academic institution, adequate awareness of different forms of plagiarism, citation techniques, paraphrasing, and other instances of copyright infringement should be tailored to any type of violation against conduct and discipline, particularly in cheating. A descriptive-comparative approach uses this study to measure the level of sensitivity among students towards socio-cultural plagiarism in terms of awareness, attitude, socio-cultural beliefs, and perception. Applying Slovin's formula, the respondents were identified using a simple random sampling technique. The results revealed that the level of sensitivity among students towards socio-cultural plagiarism is low. It is also revealed that there is no significant difference in the level of sensitivity among students towards socio-cultural plagiarism when respondents are grouped according to discipline. Therefore, as the basis for an intervention program, ethical standards of writing and the tools or technology to detect plagiarized output of the students are crucial elements towards the institution's academic standards.
Molecular Tests for Risk-Stratifying Cytologically Indeterminate Thyroid Nodules: An Overview of Commercially Available Testing Platforms in the United States

The past decade has witnessed significant advances in the application of molecular diagnostics for the pre-operative risk-stratification of cytologically indeterminate thyroid nodules. The tests that are currently marketed in the United States for this purpose combine aspects of tumor genotyping with gene and/or microRNA expression profiling. This review compares the general methodology and clinical validation studies for the three tests currently offered in the United States: ThyroSeq v3, Afirma GSC and Xpression Atlas, and ThyGeNEXT/ThyraMIR.
A Survey of Multipath TCP Scheduling Schemes: Open Challenges and Potential Enablers

Today, mobile devices like smartphones are supported with various wireless radio interfaces including cellular (3G/4G/LTE) and Wi-Fi (IEEE 802.11) [42]. The legacy devices can only communicate with only one interface. The Transmission Control Protocol, or TCP, has a limitation inability to change connection settings without breaking the connection. In this paper, we explain how multi-path TCP (MPTCP) protocol has been proposed to solve TCP single-interface limitation and provides a huge improvement on application performance by using multiple paths transparently (auto path changing). We discuss the last mile, which is the final networking segment that carried all network traffic. Indeed, the available bandwidth in last-mile link can effectively harm the network throughput as it limits the amount of transmitted data. We found that the quality of the last mile networks significantly determines the reliability and quality of the carrying network. We believe MPTCP can provide a convenient solution for the last mile problem. We provide a holistic view of the challenges and potential enablers in details.
Contribution of meteor flux in the occurrence of sporadic-E (Es) layers over the Arabian Peninsula

Abstract. A sporadic-E (Es) layer is generally associated with a thin-layered structure present in the lower ionosphere, mostly consisting of metallic ions. This metallic ion layer is formed when meteors burn in the upper atmosphere, resulting in the deposition of free metal atoms and ions. Many studies have attributed the presence of the Es layer to the metallic ion layer, specifically when the layer is observed during the nighttime. Using data from a network of meteor monitoring towers and a collocated digital ionosonde radar near the Arabian Peninsula, in this paper, we report our observations of Es layer occurrences together with the meteor count. The trend of monthly averages of Es layer intensity shows a maximum in late spring and early summer months and a minimum in winter months, whereas the meteor counts were highest in winter months and lowest in spring and early summer months. This shows that the presence of the Es layer and the meteor counts have no correlation in time, both diurnally and seasonally. This leads us to conclude that the presence of meteors is not the main cause of the presence of the Es layer over the Arabian Peninsula.
Research on Experimental Condition of Analyzing Total Nitrogen of Water by Ultraviolet Spectrophotometric Method

One of the main reasons of eutrophication is that the total nitrogen content surpasses limitation value.It is very important to determine water body's total nitrogen content accurately.In the process of analyzing water samples by alkaline K2S2O8 oxidation-UV-spectrophotometric method,the selections of experimental conditions and parameters to determine the accuracy and reliability of the experimental result was proposed.In this paper,appropriate experimental conditions and parameters were suggested through contrast tests and experimental data.The experimental results showed that,on the base of standard method,more accurate standard curve and results could be obtained if the heating time of potassium supersulphate oxidation was prolonged to 45 minutes and cooling 2～3 hours after heating.In addition,while analyzing water samples,the total nitrogen content should be in range of 20～80 μg.
Penggunaan Metode Multilayer Perceptron Pada Prediksi Indeks Saham LQ45

Melakukan prakiraan harga saham merupakan aksi analisis yang dibutuhkan sebagai langkah awal untuk mengambil keputusan dalam menentukan waktu yang tepat untuk melakukan transaksi jual-beli saham yang ada di lantai bursa. Jumlah data yang digunakan sebanyak 511 hari dalam periode 31 Mei 2018-29 Mei 2020. Penelitian ini bertujuan untuk memperkirakan harga dari tiga emiten saham yang masuk ke dalam LQ45 secara harian, yakni ASII (PT Astra International, Tbk.), KLBF (PT Kalbe Farma, Tbk.), dan TLKM (PT Telekomunikasi Indonesia, Tbk.).
One Health EJP - RaDAR model inventory: a user-friendly tool for annotating and exchanging models

The lack of a harmonized model exchange formats among modelling tools impedes communication between researchers, since the exchange and usage of existing models in various software environments can be very difficult. The RaDAR model inventory aims to provide a platform to exchange models among professionals utilizing the Food Safety Knowledge Exchange (FSKX) Format (de Alba Aparicio et al. 2018) as a harmonized model exchange format. FSKX defines a framework that encodes all relevant data, metadata, and model scripts in an exchangeable file format. However, the creation of such a file can be a time-consuming and difficult process. To increase the usage of the FSK standard, we developed the RaDAR model inventory web application that targets the process of creating an FSKX file for the end user. Our inventory aims to be a user-friendly tool that allows users to create, read, edit, write, execute and compile FSKX files within the web browser. The possibility of sharing models with the public or a specific group of people facilitates collaboration and the exchange of information. Since the RaDAR model inventory is based on the open-source technology of Project Jupyter (Granger and Perez 2021), it can support nearly all relevant programming languages executed within a reproducible cloud-computing environment. The intuitive nature of the RaDAR model along with its wide range of features reduce the threshold for contribution to a harmonized model exchange format and eases collaboration. The RaDAR model inventory can be accessed at http://ejp-radar.eu.
Understanding perceptions of contemporary antisemitism among Orthodox Jews in London

ABSTRACT Communal statistics and media reports reflect that there has been a resurgence of antisemitism. This paper explores whether this evidenced rise of antisemitism is effecting the Jewish community, in particular the Orthodox Jewish community. It elucidates the perceptions of Orthodox Jews in North London about the scale and significance of antisemitism. The study, which was informed by sociological framework, employed a qualitative approach using 28 semi-structured interviews and 5 focus groups. This article is important because it explores whether the perceptions of antisemitism were accentuated among this prime target group. This paper will first consider the shift in the manifestation of antisemitism which has been noted by Orthodox Jews. Second, this paper will consider the various contributory factors which influenced the framing of those varied perceptions.
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey

Deep Reinforcement Learning (DRL) has the potential to surpass human-level control in sequential decision-making problems. Evolution Strategies (ESs) have different characteristics than DRL, yet they are promoted as a scalable alternative. To get insights into their strengths and weaknesses, in this paper, we put the two approaches side by side. After presenting the fundamental concepts and algorithms for each of the two approaches, they are compared from the perspectives of scalability, exploration, adaptation to dynamic environments, and multi-agent learning. Then, the paper discusses hybrid algorithms, combining aspects of both DRL and ESs, and how they attempt to capitalize on the benefits of both techniques. Lastly, both approaches are compared based on the set of applications they support, showing their potential for tackling real-world problems.This paper aims to present an overview of how DRL and ESs can be used, either independently or in unison, to solve specific learning tasks. It is intended to guide researchers to select which method suits them best and provides a bird's eye view of the overall literature in the field. Further, we also provide application scenarios and open challenges.
Petrogenesis Intrusi Granitoid Langkup di Desa Rantau Kermas dan Sekitarnya, Kecamatan Jangkat, Kabupaten Merangin, Provinsi Jambi

Granitoid Langkup tersingkap baik di Desa Rantau Kermas, dikarenakan keberadaannya tepat tersingkap di bagian Perbukitan Barisan yang merupakan jalur busur magmatik Sunda-Banda berumur Miosen Akhir-Pliosen. Penelitian karakteristik mineralogi Granitoid Langkup menjadi penting dan menarik untuk dapat menjelaskan pembentukan batuan, dengan menggunakan analisis petrografi sehingga hasilnya dapat memberikan gambaran mengenai tipe Granitoid yang terdapat di Formasi Langkup, hubungan antara kegiatan magmatisme, serta keberadaan sumberdaya mineral dan energi. Pada metode penelitian tahap awal dilakukan pengamatan Citra Model Elevasi Digital (DEM) dengan menggunakan perangkat lunak Arcgis 10.5. 1 format UTM dengan skala peta 1:25.000. Tahap selanjutnya berupa survey di lapangan dengan pengamatan geomorfologi, pengamatan singkapan, pengukuran struktur geologi, dan stratigrafi terukur. Untuk mengetahui karakteristik batuan, serta tipe Granitod dilakukan analisis petrografi pada sampel batuan dengan klasifikasi batuan beku IUGS. Magma yang mengandung unsur gas dan bersifat bergerak (mobile) dengan temperatur tinggi dan tekanan yang tinggi bergerak menuju tekanan yang lebih rendah. Pergerakan magma yang menerobos naik dipengaruhi oleh pengangkatan dan struktur geologi berupa sesar yang menyebabkan terbentuknya intrusi batuan. Pada saat magma naik menginjeksi batuan samping terjadi proses silisifikasi yang mengakibatkan peningkatan derajat keasaman magma membentuk batuan granit. Pengelompokan tipe granitoid berdasarkan asal usul pembentukkan granit, granitoid di daerah penelitian termasuk granitoid tipe-I, yaitu granitoid yang terbentuk dari diferensiasi batuan beku. Hal ini dibuktikan dengan adanya mineral penciri seperti kehadiran hornblenda dan biotit. Batuan granit yang berada pada daerah penelitian dapat diinterpretasikan terbentuk pada lingkungan tektonik zona konvergen yakni pada zona tepian benua aktif (Active Continental Margin).
A Simple Method for the Synthesis of High Surface Area Mesoporous Carbon Monolith via Soft Template Technique

The aim of this work was the synthesis and characterization of a mesoporous carbon monolith (MC). The MC was prepared using the soft template method. Resorcinol and formaldehyde were used as the carbon precursor and triblock copolymer Pluronic F127 as the templating agent under acidic conditions. Several techniques were used to characterize the synthesized material such as Scanning Electron Microscopy (SEM), Brunauer-Emmett-Teller nitrogen sorption measurements (BET), Powder X-Ray Diffraction (PXRD), Fourier Transform Infrared spectroscopy (FTIR), and Thermogravimetric Analysis (TGA). The work characterized the changes due to the decomposition of the template during the carbonization process to form the pores in the carbon material. The result confirmed that the mesoporous monolithic carbon prepared had a high surface area and a narrow pore size in the mesometer range.