Miracle-dz/UniFAR-FTUs huggingface dataset:
Signatures of planets in circumstellar debris disks

Main sequence stars are commonly surrounded by debris disks, composed of cold dust continuously replenished by a reservoir of undetected dust-producing planetesimals. In the outer Solar System, Kuiper Belt (KB) objects produce dust by mutual or interstellar grain collisions. The orbital evolution of KB dust has been numerically modeled. Its equi­ librium radial density distribution can be accurately estimated even though there are inherent uncertainties in the prediction of structure, owing to the chaotic dy­ namics of dust orbital evolution imposed by resonant gravitational perturbations of the planets. The particle size distribution of dust is greatly changed from the distribution at production, as a result of radiation forces and the perturbations of the planets. The contribution of KB dust to the population of interplanetary dust particles collected at Earth may be as low as a few percent. Gravitational scattering by giant planets creates an outflow of large grains. We quantify the characteristics of this large-particle outflow in diff"erent planetary architectures, discuss its implications for exo-planetary debris disks, and for the interpretation of in-situ dust detection experiments in space probes traveling in the outer Solar System. These outflows may contribute to the clearing of circumstellar debris in planetary systems, affecting the particle size distribution of their local ISM. In anticipation of future observations of unresolved debris disks with Spitzer, we are interested in studying how the structure carved by planets affects the shape of the disk's spectral energy distribution (SED), and consequently if the SED can be used to infer the presence of planets. We numerically calculate the
Asymptotic Theory for GARCH-in-mean Models

The GARCH-in-mean process is an important extension of the standard GARCH (generalized autoregressive conditional heteroscedastic) process and it has wide applications in economics and finance. The parameter estimation of GARCH type models usually involves the quasi-maximum likelihood (QML) technique as it produces consistent and asymptotically Gaussian distributed estimators under certain regularity conditions. For a pure GARCH model, such conditions were already found with asymptotic properties of its QML estimator well understood. However, when it comes to GARCH-in-mean models those properties are still largely unknown. The focus of this work is to establish a set of conditions under which the QML estimator of GARCH-in-mean models will have the desired asymptotic properties. Some general Markov model tools are applied to derive the result.
New Possibilities in the Therapeutic Approach to Alzheimer’s Disease

Despite the fact that Alzheimer’s disease (AD) is the most common cause of dementia, after many years of research regarding this disease, there is no casual treatment. Regardless of the serious public health threat it poses, only five medical treatments for Alzheimer’s disease have been authorized, and they only control symptoms rather than changing the course of the disease. Numerous clinical trials of single-agent therapy did not slow the development of disease or improve symptoms when compared to placebo. Evidence indicates that the pathological alterations linked to AD start many years earlier than a manifestation of the disease. In this pre-clinical period before the neurodegenerative process is established, pharmaceutical therapy might prove invaluable. Although recent findings from the testing of drugs such as aducanumab are encouraging, they should nevertheless be interpreted cautiously. Such medications may be able to delay the onset of dementia, significantly lowering the prevalence of the disease, but are still a long way from having a clinically effective disease-modifying therapy.
Pengaruh Profitabilitas, Likuiditas, dan Leverage Terhadap Pengungkapan Corporate Social Responsibility (Studi Empiris pada Perusahaan yang Terdaftar di Indeks SRI KEHATI Tahun 2014-2018)

CSR disclosure in an annual report or a separate report is a tool for management to communicate with stakeholders regarding information on corporate social responsibility that has been implemented. The purpose. of this research is to examine. the effect of profitability, liquidity, and leverage, simultaneously and partially on CSR disclosure. The . population of this study. are companies . listed in the SRI KEHATI stock index in. 2014-2018. The sampling. technique used was. purposive. sampling . method and the research sample was obtained as many as 22 companies. The data used is . secondary data in annual . reports. The. analytical method . used is. multiple linear regression. analysis . with SPSS 25 software. The results show that . profitability, liquidity, and . leverage simultaneously influence CSR disclosure. Partially, profitability and liquidity have no effect on CSR. disclosure. Meanwhile, leverage . has a partial effect on CSR . disclosure.
On sequences of positive integers having no $p$ terms in arithmetic progression

We use topological ideas to show that, assuming the conjecture of Erd\"(o)s on subsets of positive integers having no $p$ terms in arithmetic progression (A. P.), there must exist a subset $M_p$ of positive integers with no $p$ terms in A. P. with the property that among all such subsets, $M_p$ maximizes the sum of the reciprocals of its elements.
Conversational Voice Assistants and a Case Study of Long-Term Users: A Human Information Behaviours Perspective

ABSTRACT This paper describes the human information behaviours of long-time users of voice assistants or chatbot software that focuses on voice interaction to retrieve information, and which operate on technologies that use artificial intelligence to understand and act upon the information requests of the user through a conversational interface. The paper reports on a case study based on 10 interviews with adult participants who have used voice assistants in their homes for at least six months. Interviews were semi-structured and focused on connecting to the users’ and their family’s experiences of using voice assistants in their daily lives. Insights from our findings focus on two areas, how the humanness of voice assistants and their perceived personality affect information retrieval, and secondly, the difficulties in transitioning from text-based information seeking to speech-based interactions. This paper makes a case for expanding human information behaviour studies to include interactive conversational information retrieval devices such as voice assistants.
Effects of waiting time between trials and water temperature on cognitive functions, body temperature and body weight in rats in Morris water maze

The Morris water maze (MWM) is a widely used test among neurobiologists to measure spatial memory. The implementation of this test carries the risk of hypothermia periods in animals. The level of hypothermia may affect age-related memory processes as a significant factor. The occurrence of hypothermia throughout the MWM protocol should be better understood as hypothermia may impair memory performance. Ensuring the standardization of the experiments and minimizing side effects require a detailed examination of the hypothermia-related processes. Our study aims to replicate and extend the data of previous studies in terms of determining the possible species-specific variations and provide data for reorganizing the time intervals. In this study, rats (Wistar Hannover) were used and grouped according to the differences in the inter-trial interval (ITI) (30-s and 13-min) and water temperatures (20 °C and 24 °C). The effects of ITI and water temperature on probe performance were analysed statistically (mixed two-way ANOVA). Results showed that the 13 minute waiting group of animals performed statistically better in the MWM probe phase compared to the 30 second waiting group. The prolongation of ITI between the tests was found to have a positive impact on the memory performance. Longer ITI should be preferred instead of the frequently used 30-60 second test intervals. Thus, animals will be exposed to less stress and more reliable results can be obtained, also possible side effects of hypothermia can be minimized while performing the MWM test.
Dynamic learning from neural network‐based control for sampled‐data strict‐feedback nonlinear systems

This article focuses on the dynamic learning and control problem for a class of nonlinear sampled‐data systems in strict‐feedback form. To achieve learning of unknown system dynamics in closed‐loop control, two obstacles need to be overcome: the inherent noncausal problem in the backstepping design of discrete‐time nonlinear systems, and the exponential stability of the sampling closed‐loop error system. First, a novel command filtered adaptive neural control is developed to achieve closed‐loop stability and the convergence of output tracking error based on Lyapunov theory, the noncausal problem is overcome by utilizing the command filter technique, and the n$$ n $$ ‐step delay is avoided in the recursive process. Second, by combining a state transformation method, the closed‐loop error system is divided into n$$ n $$ perturbed linear time‐varying (LTV) subsystems. Based on the convergence of the tracking errors, the partial persistent excitation (PE) condition of the radial basis function network is verified and established recursively. By extending the exponential stability result of a class of discrete‐time LTV systems, the convergence of the estimated weights to their optimal values is guaranteed with the PE condition. Subsequently, locally accurate approximation/learning of the unknown closed‐loop sampled dynamics can be obtained and stored in the form of constant neural networks. Finally, by reutilizing the acquired knowledge, a learning‐based control scheme for the sampled‐data system is further proposed to pursue improved control performance. Simulation studies are performed to illustrate the validity of the proposed scheme.
Efficient design and decoding of the rate-compatible low-density parity-check codes

With superior performance and manageable decoding complexity, Low-density Parity-check Code (LDPC) codes have been intensively studied and play a significant role in practical communication systems. Generally speaking, for practical communication systems, there are three important issues for the LDPC codes' application. Firstly, most real time communication systems require low decoding latency and power consumption, which calls for low complexity decoding scheme without sacrificing performance. Secondly, since the throughput performance of incremental redundancy (IR) hybrid automatic-repeat-request (HARQ) mechanism depends on the performance of rate-compatible (RC) codes, especially high rate codes, efficiently constructing RC LDPC codes is of great importance to practical communication systems. Thirdly, in some application, it is hard to avoid short cycles, especially cycles of length 4 in the LDPC code graph, which degrade the sum product decoding performance of the LDPC code. Therefore, low complexity decoding strategy, the design of good rate-compatible codes, and girth 4 problem are still challenging for the LDPC code study. In this thesis, we first consider the efficient design of RC LDPC codes by puncturing and splitting a LDPC code matrix. Specifically, we propose a novel criterion to rank candidate puncturing and splitting patterns according to their estimated performance so that good RC LDPC codes can be obtained. Efficient cost functions are devised to compare the expected performance of candidate patterns and to sort out good ones. The proposed scheme has a big advantage in reducing decoding complexity without sacrificing performance. With comparable (even better) decoding performance, the proposed RC LDPC codes are always excelled at lower decoding latency and nearly 25% hardware complexity saving can be obtained. We also consider the universal girth 4 problem in a LDPC code graph. A novel mismatched decoding is presented to overcome the performance degradation resulting from cycles of length 4. Specifically, a mismatched decoding graph is derived by introducing invisible nodes in appropriate positions of the original girth 4 graph, so that the message dependency within the cycles can be meliorated and the sum product decoding performance can be improved. An efficient placing algorithm is provided to find an appropriate mismatched graph so that the mismatched decoding can be optimized in terms of error performance and decoding convergence. Nearly 1dB gain is obtained in the target example by applying the proposed placing algorithm. In addition, some important extensions of mismatched decoding will be presented as well: 1) efficient ranking algorithms are introduced for the puncturing problem, with an aim to provide good rate compatible codes based on effective mismatched decoding; 2) a low complexity decoder is proposed for gaining lower decoding latency and low complexity by selecting the decoding matrix. Numerical simulations demonstrate the superiority of the proposed algorithms and verify the…
Comparative and Phylogenetic Analysis of Complete Chloroplast Genomes in Leymus (Triticodae, Poaceae)

Leymus is a perennial genus that belongs to the tribe Triticeae (Poaceae) which has an adaptive capacity to ecological conditions and strong resistance to cold, drought, and salinity. Most Leymus species are fine herbs that can be used for agriculture, conservation, and landscaping. Due to confusion taxonomy within genera, the complete chloroplast (cp) genome of 13 Leymus species was sequenced, assembled, and compared with those of three other previously published Leymus species (Leymus condensatus, Leymus angustus, and Leymus mollis) to clarify the issue. Overall, the whole cp genome size ranged between 135,057 (L. condensatus) and 136,906 bp (Leymus coreanus) and showed a typical quadripartite structure. All studied species had 129 genes, including 83 protein-coding genes, 38 transfer RNAs, and 8 ribosomal RNAs. In total, 800 tandem repeats and 707 SSR loci were detected, most of which were distributed in the large single-copy region, followed by the inverted repeat (IR) and small single-copy regions. The sequence identity of all sequences was highly similar, especially concerning the protein-coding and IR regions; in particular, the protein-coding regions were significantly similar to those in the IR regions, regardless of small sequence differences in the whole cp genome. Moreover, the coding regions were more conserved than the non-coding regions. Comparisons of the IR boundaries showed that IR contraction and expansion events were reflected in different locations of rpl22, rps19, ndhH, and psbA genes. The close phylogenetic relationship of Leymus and Psathyrostachys indicated that Psathyrostachys possibly is the donor of the Ns genome sequence identified in Leymus. Altogether, the complete cp genome sequence of Leymus will lay a solid foundation for future population genetics and phylogeography studies, as well as for the analysis of the evolution of economically valuable plants.
Patients’ Experiences of Care With or Without the Support of an Interactive App During Neoadjuvant Chemotherapy for Breast Cancer: Interview Study

Background Neoadjuvant chemotherapy (NACT) is often recommended for patients with breast cancer with more aggressive tumor characteristics. As with all chemotherapies, they can cause substantially disturbing symptoms. Most patients receive their treatment as outpatients, which means that they must take responsibility for self-care and management of symptoms at home for a long period. Patients with breast cancer undergoing chemotherapy may not receive sufficient support for management of treatment-related symptoms. For patients undergoing NACT, it has been concluded that information and supportive needs are not always met. In our previous study, the use of mobile health to support patients with breast cancer undergoing NACT reduced symptoms during treatment with the support of an interactive app. Therefore, it is important to investigate how patients experience their care and explore any specific contribution that the app may have brought in care. Objective This study aims to explore patients’ experiences of care with or without the support of an interactive app during NACT for breast cancer. Methods This qualitative study was part of a larger randomized controlled trial and included 40 individual face-to-face interviews conducted with patients in both intervention and control groups after the end of NACT. The interviews were audio recorded, and the data were analyzed inductively using thematic analysis. Results No major differences in experience of care were observed between the groups. A total of 4 overarching themes emerged. In the first theme, The health care context, patients described care as assessible, although sometimes there was a lack of time and continuity with nurses. In the second theme, Being a recipient of care, it emerged that the patients experienced a warm and positive atmosphere at the clinics. In the third theme, Taking an active role as a patient, patients described being active in searching for information and various ways of participation in their own care. In the fourth theme, The value of the app, patients who had used the app experienced it as a complementary source of information, creating a sense of security. Using the app provided patients with the support of being contacted by a nurse if needed, enabled self-care, and facilitated the planning of daily activities. Conclusions Overall, patients’ experiences of care were similar and mostly positive. However, for patients using the app, it provided additional support for information and self-care and enhanced participation in their own care. The easy access to a nurse gave patients a sense of security. The findings suggest integrating an interactive app as a complement to standard care to support patients with breast cancer during treatment. International Registered Report Identifier (IRRID) RR2-DOI: 10.1186/s12885-017-3450-y
COMITÊS DE AUDITORIA: ANÁLISE BIBLIOMÉTRICA DA PRODUÇÃO CIENTÍFICA EM PERIÓDICOS NACIONAIS NAS ÁREAS DE CONTABILIDADE E ADMINISTRAÇÃO

O objetivo geral deste trabalho foi analisar o perfil da produção científica nacional voltada à temática dos comitês de auditoria nos principais periódicos de contabilidade e administração do Brasil. As pesquisas destinadas à essa temática buscam compreender os efeitos das características dos comitês de auditoria na governança corporativa e como ela tem contribuído para maior fidedignidade de todo o processo que envolve a divulgação das informações financeiras. Assim, foi realizada uma análise por meio de indicadores bibliométricos em publicações de 29 periódicos de contabilidade e administração. Foram identificadas 59 publicações sobre o tema, tendo como principais o aumento nos artigos publicados com esse tema ao longo dos últimos cinco anos (2017-2021), com destaque para a Revista de Contabilidade Finanças da USP com 8 publicações. Também se identificou maior predominância de publicações em coautoria, com objetivos de pesquisa descritiva, de natureza quantitativa e baseadas em análises de documentos, bem como maior incidência de referências de artigos internacionais.
Antimicrobial and Digestive Effects of Yucca schidigera Extracts Related to Production and Environment Implications of Ruminant and Non-Ruminant Animals: A Review

Plant extracts have been used over time in traditional medicine, mainly for their antimicrobial activity as well as for their medicinal effects. Plant-derived products contain secondary metabolites that prevent pathogenic microbial growth similar to conventional medicines. These secondary metabolites can enhance animal health and production in a more natural or organic manner and may contribute to the reduction in the use of pharmacological drugs in animal feed, which is of great concern for emerging microbial resistance. Plant secondary metabolites can be cost effective, while improving the production efficiency of ruminants, non-ruminants, and aquatic food animals. Among the plant-derived products is the Yucca schidigera extract (YSE), containing steroidal saponins as their main active component. YSE has multiple biological effects, including inhibition of some pathogenic bacteria, protozoa, and nematodes. YSE is used to control odor and ammonia and consistently enhance poultry production by enhancing intestinal health and function. In pigs, results are as yet inconclusive. In ruminants, YSE works against protozoa, has selective action against bacteria, and reduces the archaea populations; all these effects are reflected in the reduction in emissions of polluting gases, mainly methane, although the effects are not observed in all feeding conditions. These effects of YSE are discussed in this review. YSE has potential as a natural feed additive for sustainable animal production while contributing to the mitigation of contaminant gas emissions.
Persepsi Mahasiswa Baru yang Mengalami Kesurupan Terkait Stres Akademik

Pendahuluan: trans disosiatif atau kesurupan rentan terjadi pada mahasiswa baru. Hal ini dikaitkan dengan kemampuan mahasiswa baru dalam menghadapi stress akademik. Tujuan: penelitian ini bertujuan untuk mengeksplorasi persepsi mahasiswa baru yang mengalami kejadian kesurupan yang dikaitkan dengan stress. Metode: penelitian kualitatif ini berupa metode deskriptif. Teknik pengambilan sampel dalam penelitian ini adalah teknik purposive sampling. Partisipan dalam penelitian ini adalah mahasiswa baru semester satu dan mahasiswa yang mengalami kesurupan massal. teknik pengambilan data menggunakan in-depth interview. Hasil: dalam penelitian ditemukan lima tema utama, yaitu respon psikologi dan mekanisme koping mahasiswa baru yang mengalami kesurupan dalam beradaptasi dengan lingkungan baru. Persepsi mahasiswa yang mengalami kesurupan yang sejalan dengan sikap dan keadaan emosional dalam menghadapi stress. Dampak stressor yang tidak teratasi pada mahasiswa yang mengalami kesurupan massal. Sistem dukungan yang dibutuhkan mahasiswa yang mengalami kesurupan untuk mengatasi stres, serta proses terjadinya kesurupan. Kesimpulan: faktor stres dan respon terhadap stress, serta, keyakinan dan keturunan dianggap sebagai pemicu terjadinya kesurupan pada mahasiswa baru. Penelitian ini sebagai gambaran persepsi mahasiswa terhadap kejadian kesurupan. Perlu dilakukan penelitian lebih lanjut untuk mengetahui factor penyebabnya secara lebih dalam.
Updates in the Epidemiology of Fatty Liver and its Consequences in Saudi Arabia: A Review

The occurrence of non-alcoholic fatty liver disease has exponentially increased worldwide. A considerable majority of cases advance to non-Alcoholic Steatohepatitis in the nonexistence of therapeutic measures, which increases morbidity and death. Because the initial phases of the illness are frequently clinically unapparent, the identification of non-alcoholic fatty liver disease frequently rests on biochemical and radiographic studies. Concentrated life modifications that result in weight loss are the mainstay of the disease's management. Therapeutic treatments that could be additional to lifestyle changes once essential for case managing comprise insulin sensitizers, antioxidants, incretin-based pharmaceuticals, cholesterol depressing mediators, weight reduction therapies, bariatric surgery, and liver transplantation. For non-alcoholic fatty liver disease to be managed more effectively and lessen its worldwide impact, research must be conducted continuously.