Miracle-dz/UniFAR-FTUs huggingface dataset:
Seismic Anisotropy at the Hikurangi Subduction Margin

To determine the stress state in the southern North Island of New Zealand, we use shear wave splitting analysis to measure seismic anisotropy and infer the orientation of the maximum horizontal stress directions (Shmax) in the crust. We use data recorded by 44 temporary seismometers deployed as part of the Seismic Array Hikurangi Experiment, and from six permanent stations from the national GeoNet network. Using 425 local earthquake events recorded across the 50 stations we made 13,807 measurements of the two splitting parameters, φ (fast direction) and δt (delay time). These measurements are compared to SHmax directions obtained from previous focal mechanism studies (SfocalHmax), and stresses due to the weight of topography (SgravHmax). Generally there is good agreement between the alignment of SfocalHmax, SgravHmax, and the mean φ measured at each station. We also ﬁnd a∼ 90◦ change in the trend of φ in the Wairarapa region for stations across the Wairarapa Fault trace. Based on the variation of φ, we divide the study region into three regions (West, Basin, and East), whose bounds approximately coincide with the Wairarapa and Dry Creek faults. We ﬁnd the average φ of the West region average agrees with previous anisotropy studies, which were undertaken within the bounds of the West region on the Tararua array. Also, we use our delay time measurements to estimate a 3.7±1.2% strength of anisotropy in the overriding Australian Plate, which agrees with the 4% crustal anisotropy measured previously. There is close alignment of the region average φ of the West and East regions, which also agrees with the deep splitting measurements previously obtained. There is no signiﬁcant diﬀerence between the mean φ and Sgravhmax for the West and Basin regions; however, we ﬁnd a diﬀerence of 31± 19.5◦ for the East region. We argue that this diﬀerence is due to tectonic loading stresses being suﬃciently large in the East region to cause the total stress ﬁeld to deviate from the gravitational stress ﬁeld.
Customer’s PIE for experiencescape design

Since the evolution of the experience economy, businesses in all sectors have attempted to progress their offerings toward staging memorable experiences, enhancing the offerings’ value and sustaining competitiveness. Although scholars have paid greater attention to experiencescape research, a few attempted to conceptualise it, and the others were mostly context- or case-based research in particular fields. There has been scarce research for a non-context-based memorable experiencescape design framework that would benefit businesses at large. Designing memorable experiences is challenging and actually must be aligned with an internal procedure that, according to neuroscience, customers employ to take ownership of the proposed experiences. Therefore, this paper presents a non-context-based experiencescape design framework (Customer’s PIE) in which customer information associated with brain function – customer perception channels (P), customer involvement capability (I), and memorable experience (E) – has been integrated. The results from a case study in designing learning experiencescape illustrate that the framework successfully scaffolds memorable learning experiences in customers’ minds, evidenced by customers’ reflections and positive feedback.
Impaired face symmetry detection under alcohol, but no ‘beer goggles’ effect

Background: The ‘beer goggles’ phenomenon describes sexual attraction to individuals when alcohol intoxicated whom we would not desire when sober. One possible explanation of the effect is that alcohol impairs the detection of facial asymmetry, thus lowering the drinker’s threshold for physical attraction. Aims: We therefore tested the hypotheses that higher breath alcohol drinkers would award more generous ratings of attractiveness to asymmetrical faces, and be poorer at discriminating bilateral facial asymmetry than less intoxicated counterparts. Methods: Ninety-nine male and female bar patrons rated 18 individual faces for attractiveness and symmetry. Each type of rating was given twice, once per face with an enhanced asymmetry and once again for each face in its natural form. Participants then judged which of two same-face versions (one normal, the other perfectly symmetrised) was more attractive and, in the final task, more symmetrical. Results: Alcohol had no influence on attractiveness judgements but higher blood alcohol concentrations were associated with higher symmetry ratings. Furthermore, as predicted, heavily intoxicated individuals were less able to distinguish natural from perfectly symmetrised face versions than more sober drinkers. Conclusions: Findings therefore suggest alcohol impairs face asymmetry detection, but it seems that this perceptual distortion does not contribute to the ‘beer goggles’ phenomenon.
Deep learning algorithms and their relevance: A review

Nowadays, the most revolutionary area in computer science is deep learning algorithms and models. This paper discusses deep learning and various supervised, unsupervised, and reinforcement learning models. An overview of Artificial neural network(ANN), Convolutional neural network(CNN), Recurrent neural network (RNN), Long short-term memory(LSTM), Self-organizing maps(SOM), Restricted Boltzmann machine(RBM), Deep Belief Network (DBN), Generative adversarial network(GAN), autoencoders, long short-term memory(LSTM), Gated Recurrent Unit(GRU) and Bidirectional-LSTM is provided. Various deep-learning application areas are also discussed. The most trending Chat GPT, which can understand natural language and respond to needs in various ways, uses supervised and reinforcement learning techniques. Additionally, the limitations of deep learning are discussed. This paper provides a snapshot of deep learning.
El potencial riesgo digestivo de los nanomateriales

Objetivos: Evaluar el riesgo a la salud pública, particularmente respecto a trastornos gastrointestinales, que implica la exposicióncotidianadelapoblaciónalos nanomateriales como aditivos empleados en la industria alimentaria y/o como contaminantes derivados del uso de materia prima contaminada con nanopartículas originadas por la degradación de residuos plásticos. En esta revisión se recopilan los puntos más relevantes de las investigaciones nanotoxicológicas disponibles acerca del efecto de las nanopartículas de óxido de zinc, un aditivo comúnmente utilizado en la industria alimentaria, y de las nanopartículas de tereftalato de polietileno, uno de los principales componentes de los residuos plásticos. Métodos: Extraer las publicaciones más recientes y relevantes acerca de los riesgos por ingestión de ambos tipos de nanomateriales encontrados en alimentos y bebidas, utilizando un reconocido motor de búsqueda. Resultados: En el aparato digestivo, los nanomateriales cambiarán sus propiedades fisicoquímicas y estarán en constante interacción con las células intestinales, las cuáles son capaces de internalizarlos por vías endocíticas. Además, los nanomateriales interactúan con la microbiota, ocasionando un desbalance en la flora intestinal y cambios en la composición de la mucosa. En conjunto, esta serie de eventos desencadenará respuestas celulares de estrés oxidativo. Conclusiones: El área de evaluación nanotoxicológica abordada en esta revisión es un enfoque emergente de los efectos tóxicos de la materia en tamaño nanométrico que pone de manifiesto los posibles efectos a corto, mediano y largo plazo de los nanomateriales y cuyo progreso contribuirá a esclarecer cómo prevenir y tratar patologías gastrointestinales asociadas.
Collaborative Sharing Intelijen Ancaman Pada Komunitas Csirt Dalam Memperkuat Keamanan Siber Nasional

Sistem keamanan siber dalam beberapa tahun terakhir berkembang dan terlembaga, hal ini dikarenakan faktor keamanan siber telah menjadi perhatian penting, terutama pemerintah Indonesia. Pemerintah melalui BSSN telah banyak me-launching CSIRT (Computer Security Incident Response Team). CSIRT merupakan Tim Tanggap Insiden yang memberikan layanan untuk melindungi sistem atas insiden siber. Meskipun demikian, fenomena insiden siber yang menimpa sektor pemerintah tetap masif. Di sisi lain, lanskap keamanan siber dalam tiga tahun terakhir menunjukkan bahwa kemampuan ancaman siber meningkat signifikan, dan jumlahnya semakin banyak, puluhan varian malware muncul setiap bulan. Oleh karena itu, lembaga dan organisasi tidak cukup dengan melakukan pemantauan dan respon insiden yang bersifat reaktif, namun harus mengubah strategi dengan menggabungkan langkah-langkah keamanan preventif dengan intelijen ancaman. Pengembangan kemampuan Intelijen Ancaman Siber (CTI) dinilai sangat efektif untuk meningkatkan postur keamanan siber. Saat ini program CTI ada di BSSN. Namun, distribusi informasi masih bersifat satu arah, dari BSSN ke CSIRT lembaga. Penelitian ini menggunakan pendekatan kualitatif dengan teknik menggunakan studi kajian pustaka dari penelitian sebelumnya observasi. Hasil penelitian ini menunjukkan terdapat trend ancaman siber semakin tinggi dalam dua tahun terakhir. Beberapa insiden mengalami ekskalasi ancaman pada informasi vital nasional. Oleh karena itu intelijen ancaman siber sektor pemerintah harus dikerjakan bersama-sama oleh komunitas CSIRT. Di akhir, penelitian ini mengusulkan model collaborative sharing CTI yang melibatkan seluruh CSIRT pada masing-masing sektor untuk meningkatkan keamanan nasional.
Source (or Part of the following Source): Type Article Title Brain Responses Strongly Correlate with Weibull Image Statistics When Processing Natural Images Author(s) Introduction

Copyright It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content licence (like Creative Commons). UvA-DARE is a service provided by the library of the University of Amsterdam (http://dare.uva.nl) Brain responses strongly correlate with Weibull image statistics when processing natural images The visual appearance of natural scenes is governed by a surprisingly simple hidden structure. The distributions of contrast values in natural images generally follow a Weibull distribution, with beta and gamma as free parameters. Beta and gamma seem to structure the space of natural images in an ecologically meaningful way, in particular with respect to the fragmentation and texture similarity within an image. Since it is often assumed that the brain exploits structural regularities in natural image statistics to efficiently encode and analyze visual input, we here ask ourselves whether the brain approximates the beta and gamma values underlying the contrast distributions of natural images. We present a model that shows that beta and gamma can be easily estimated from the outputs of X-cells and Y-cells. In addition, we covaried the EEG responses of subjects viewing natural images with the beta and gamma values of those images. We show that beta and gamma explain up to 71% of the variance of the early ERP signal, substantially outperforming other tested contrast measurements. This suggests that the brain is strongly tuned to the image's beta and gamma values, potentially providing the visual system with an efficient way to rapidly classify incoming images on the basis of omnipresent low-level natural image statistics. strongly correlate with Weibull image statistics when processing natural images.
The impact of economic crisis on R&D convergence in Romania

Research and development (R&D) is an important driver of productivity, competitiveness and economic growth, both nationally and regionally. In Romania all national development strategies acknowledged R&D as a priority sector, but the territorial component of the national innovation system is still underdeveloped. Moreover, research and development activity might be among the factors accountable for the increasing regional economic disparities, as the territorial distribution of its potential and performance is extremely unbalanced, the capital region (Bucharest-Ilfov) concentrating over half of R&D endowment. Romania is still lacking a strong regional R&D policy to address such disparities and the recent economic crisis brought about new hardships on the Romanian innovation system. Following a significant rise in research and development funding prior to the crisis, R&D intensity declined from 0.58 % in 2008 la 0.38 % in 2014, placing Romania at the bottom of European Union hierarchy. The convergence of the regional R&D and innovation system is as an essential component of successful regional development because, on the one hand, it provides a key asset to improve local economic competitiveness and, on the other hand, facilitates cohesion in the social sector. In this context our paper explored the convergence patterns of R&D in Romania over 1995-2014 and several subperiods, with a focus on the recent economic crisis, applying the 'sigma' and "beta" convergence methods, as introduced by Barro and Sala-i-Martin (1995). We used county level (NUTS3) data provided by the National Institute of Statistics. The diagnostics for spatial dependence have been performed, but Moran's I test for errors could not reject spatial randomness (on all time spans considered), therefore classic OLS model has been applied as the best fit for our data. We found a discontinuous sigma convergence trend, with some temporary periods of divergence that disrupted the convergence process, and conditional beta convergence over 1995-2014. When exploring the relevant subperiods of this time span, the results indicated absolute (unconditional) beta convergence until 2008, but no evidence of either convergence or divergence afterwards. The annual average speed of convergence declined from 6.97% over 1995-2000 to 2.65% over 2000-2008. Sigma convergence has been also reversed during the crisis, but seems to have resumed in the last couple of years. Our findings clearly show the disruptive impact of the economic crisis on the convergence path, from the perspective of both sigma and beta technique. The persistence of high R&D regional inequalities and low convergence calls for adequate policies, able to stimulate the regional innovation potential and underpin faster development of the Romanian regional research and innovation system.
The development of infostructure maturity model for application in disaster management

Disaster management aims to reduce the impact of disaster by having a good management of resources and responsibilities in providing better coordination and collaboration. Organizations involved in disaster need to be able to measure its competency and capabilities in ensuring the right response is given during disaster. Successful disaster management relies heavily on right information to be used at the right time by the right agencies. Based on the concept of continuous process improvement and the Capability Maturity Model (CMM), in this paper, an infostructure maturity model is constructed. This paper highlights the constructs of infostructure that will be applied to disaster management, and later to propose a suitable measurement using the concept of maturity model. It can be used to assess the infostructure components of information, systems and technologies. The research also aims to serves as a foundation to produce a complete infostructure maturity model for application in the disaster management area.
Palliative care for infants with life-limiting conditions: integrative review

Background Infants with life-limiting conditions are a heterogeneous population. Palliative care for infants is delivered in a diverse range of healthcare settings and by interdisciplinary primary healthcare teams, which may not involve specialist palliative care service consultation. Objective To synthesise the literature for how palliative care is delivered for infants aged less than 12 months with life-limiting conditions. Methods An integrative review design. MEDLINE, CINAHL, ProQuest, Cochrane, Joanna Briggs Institute and EMBASE were searched for research published in English language, from 2010 to 2022, and peer reviewed. Critical appraisal was completed for 26 patient case series, 9 qualitative, 5 cross-sectional and 1 quality improvement study. Data analysis involved deductive content analysis and narrative approach to summarise the synthesised results. Results 37 articles met the eligibility for inclusion. Two models of palliative care delivery were examined, demonstrating differences in care received and experiences of families and health professionals. Health professionals reported lack of palliative care education, challenges for delivering palliative care in intensive care settings and barriers to advance care planning including prognostic uncertainty and transitioning to end-of-life care. Families reported positive experiences with specialist palliative care services and challenges engaging in advance care planning discussions. Conclusion There are complex issues surrounding the provision of palliative care for infants. Optimal palliative care should encompass a collaborative and coordinated approach between the primary healthcare teams and specialist palliative care services and prioritisation of palliative care education for nurses and physicians involved in providing palliative care to infants.
Inovasi Pelayanan Publik pada Pemerintah Daerah di Indonesia

Inovasi selama ini populer dilakukan di dunia industri dan jasa milik swasta. Saat ini inovasi sudah banyak dilakukan oleh sektor publik. Namun, masih sedikit kajian yang membahas inovasi sektor publik yang sudah dilakukan oleh pemerintah daerah provinsi, kabupaten dan kota. Oleh karena itu, artikel ini berusaha menjawab pertanyaan bagaimana tipologi inovasi pemda di Indonesia? bagaimana kategori inovasi yang dilakukan? bagaimana sebaran pemda yang sudah melakukan inovasi? Riset ini menggunakan metode kualitatif dengan melakukan analisis data sekunder. Teknik analisis data yang digunakan memiliki empat tahap yaitu pengumpulan data, reduksi data, penyajian data dan langkah terakhir adalah penarikan kesimpulan. Hasil analisa data inovasi yang dilakukan sektor publik termasuk pemda sejak tahun 2014 sampai dengan 2022 menunjukkan bahwa jumlah inovasi yang dilakukan terus berkembang pesat. Tipologi inovasi yang dianalisa dalam studi ini menunjukkan bahwa empat besar tipe inovasi yang dilakukan pemda adalah proses teknologi, inovasi sosial, pelayanan baru dan administrasi. Kategori inovasi yang terbanyak dilakukan adalah di bidang kesehatan, administrasi, tata kelola pemerintahan, pendidikan, pemberdayaan masyarakat, pertumbuhan ekonomi dan kesempatan kerja. Sebaran inovasi yang diterapkan pemerintah provinsi terlihat dalam bentuk peta yang didominasi oleh provinsi-provinsi di Pulau Jawa kecuali Banten. Untuk pemerataan implementasi inovasi diawali dari pemahaman yang sama tentang pentingnya inovasi. Selain itu, adanya kemauan politik dari pimpinan daerah untuk meningkatkan pelayanan publiknya sangat penting.
ON THE GEOGRAPHICAL DISTRIBUTION AND THE MAMMALIAN FAUNA OF ZHEJIANG PROVINCE

Eighty-six species and two subspecies of mammals have been recorded in Zhejiang province. They belong to 10 orders and 29 families. Among the more abundant mammals are Rodentia, Chiroptera and Carnivora. Twenty species are considered as new records there. In the mammalian fauna the Oriental species are dominant, and the Palaearctic species are less. Both numbers of species compared about 4 : 1 . Based on the distribution of the mammals and the geographic conditions, the province may be divided into five zoogeographical regions, namely: ( 1 ) the northern plain region, ( 2 ) the eastern hill region, ( 3 ) the western hill-mountain region, ( 4 ) the southern mountain region and ( 5 ) the island region. Most mammals inhabit in the western and southern mountains, but less common in the island region. From north to south, the faunal composition is characterized by a proportional decrease of the Palaearctic elements with a corresponding increas of the Oriental elements.
Corporate Social Responsibility in the Digital Age: Navigating Ethics and Reputation Management

This research paper delves into the evolving landscape of Corporate Social Responsibility (CSR) in the Digital Age, scrutinizing its profound implications for ethical practices and reputation management. As businesses increasingly harness digital technologies to connect with stakeholders, understanding the interplay between CSR, ethics, and reputation becomes paramount. The primary objectives of this study are to examine how the digital environment has reshaped CSR strategies, assess the ethical challenges posed by these transformations, and explore their repercussions on organizational reputation
T he Journal of Multidisciplinary Research (TJMDR)

Data transmission has become an important issue in today's telecommunications world. In order to get the best results in sending and receiving data via optical cable, there are various ways to improve the performance of such systems . In this paper, the simulation program (optsystem) was used to design a communication system for data transmission over a fiber optic to compare the performances of the Return to the Zero (RZ) as well as Non Return to the Zero (NRZ) for different distances. The data was sent over distances ranging from 5 km to 50 km, with an increase of 5 km for each measurement. And recording the values of both Q. factor and (BER), as well as recording ayediagram figures for each case in order to compare to get the best performance for each distance used.
Plant nutrient losses by soil erosion and mass movement after wildfire

ABSTRACT: Annual sediment yields increased as much as 180 times above pre-fire levels after wildfire destroyed all vegetation on three forested watersheds in the Entiat Experimental Forest in the eastern Cascade Range of Washington. Sediment was transported in debris torrents, in suspension, and as bedload. Suspended sediment concentration correlated well with turbidity. Total N losses by erosion processes increased from a pre-fire average of 0.004 kg/ha/yr to 0.16 kg/ha/yr. Available P losses increased from 0.001 kg/ha/yr before the fire to 0.014 kg/ha/yr. The combined erosion loss of Ca, Mg, K, and Na increased from an average of 1.98 kg/ha/yr before the fire to 54.3 kg/ha/yr. Greatest nutrient losses occurred with mass soil movements (debris torrents). Material deposited in alluvial fans represented losses of 13.5 kg/ha of total N, 3.4 kg/ha available P, and 3,850 kg/ha of Ca, Mg, K, and Na combined. An unmeasured but certainly large quantity of soil and rock entered the river during the debris flows. Nutrient losses on eroded soil, although greater than solution losses, were insignificant to site productivity and stability compared with the physical effects of channel scouring associated with greater runoff, higher peak flows, and debris torrents following fire.