Miracle-dz/UniFAR-FTUs huggingface dataset:
Expression of the Tas1r3 and Pept1 genes in the digestive tract of wagyu cattle

Abstract Animals have precise recognition systems for amino acids and peptides that regulate their feeding behavior as well as metabolic responses. Because of their particular gastrointestinal structure, ruminants are expected to have unique mechanisms of amino acid regulation in the digestive tract. To better understand these mechanisms in the ruminant digestive tract, the expression of Tas1r3 and Pept1 was studied along the gastrointestinal tract of Japanese Black cattle through quantitative RT-PCR and immunohistochemistry. Tas1r3 mRNA was detected ubiquitously along the gastrointestinal tract, and the most predominant expression was observed in the reticulum. In addition, the presence of Tas1r3 receptor was confirmed in the rumen through immunohistochemistry. The expression level of Pept1 mRNA was higher in the forestomach (rumen, reticulum, and omasum) and small intestine (duodenum) than that in the tongue, and predominant expression was observed in the rumen. By contrast, a negligible amount of Pept1 mRNA was detected in the abomasum and large intestine. Further studies on the roles of Tas1r3 and Pept1 in the digestive tract, in particular, in the four components of the stomach, will help us to understand the mechanisms of amino acids regulation in ruminants and provide the basis for formulating cattle diets to improve the health and productivity of cattle.
Investigation of Gasoline Compression Ignition for Combustion Control

Future emission regulations for internal combustion engines require increasingly stringent reductions of engine-out emissions, especially NOx and particulate matter (PM), together with the continuous improvement of engine efficiency. In the current scenario, even though compression-ignited engines are still considered the most efficient and reliable technology for automotive applications, the use of diesel-like fuels has become a critical issue, since it is usually not compatible with the required emissions reduction. A large amount of research and experimentation is being carried out to investigate the combined use of compression-ignited engines and gasoline-like fuels, which proved to be very promising, especially in case the fuel is directly injected in the combustion chamber at high pressure. This work investigates the combustion process occurring in a light-duty compression-ignited engine while directly injecting only gasoline. A specific experimental setup has been designed to guarantee combustion stability over the whole operating range that is achieved controlling boost pressure and temperature together with all the injection parameters of the multijet pattern. The analysis of the experimental data clearly highlights how the variation of the control parameters affect the ignition process of small amounts of directly injected gasoline and the maximum achievable efficiency. In particular, the analysis of the sensitivity to the injection parameters allows identifying an ignition delay model and the key control parameters that might be varied to guarantee a robust control of combustion phasing within the cycle.
ANALIS STRATEGI KUALITAS PELAYANAN UNTUK PENINGKATAN RASA KEPUASAN KONSUMEN PADA PT GOJEK (Studi Kasus Pelayanan Go Food)

Penelitian ini dilaksanakan dengan tujuan (1) Untuk mengetahui pengaruh kualitas pelayanan secara signifikan terhadap kepuasan konsumen pada PT GO-JEKdan (2) Untuk mengetahui pengaruh yang signifikan kualitas pelayanan secara simultan terhadap kepuasan konsumen pada PT GO-JEK. Penelitian ini dilakukan dengan populasi dalam penelitian ini adalah konsumen yang memakai layanan Go Food, dengan sampel sebanyak 100 respondendan metode pengambilan sampel yang bersifat Accidental Sampling karenadi dalam penelitian ini responden ada ketika peneliti membagikankuesioner kepada masyarakat umum dan bersedia menjawab kuesioner. Maka hasil dari wawancara penelitian ini, penulis menemukan adanya, (1) Berdasarkan hasil penelitian, Pendapat responden antara lain: (a) Prediksi rata-rata skor dan persentase variabel Kualitas Pelayanan (X) maka nilai skor rata-rata yang dihasilkan sebesar 3,68, dan bila dikonsultasikan dengan skala penafsiran skor rata-rata jawaban respoden, maka angka sebesar itu berapa pada rentang 3,40-4,19 atau berada pada kriteria baik. (b) Prediksi rata-rata skor dan persentase variabel Kepuasan Pelayanan (Y) maka nilai skor rata-rata yang dihasilkan sebesar 3,79, dan bila dikonsultasikan dengan skala penafsiran skor rata-rata jawaban respoden, maka angka sebesar itu berapa pada rentang 3,40-4,19 atau berada pada kriteria baik. (2) Alat analisis yang digunakan analisis regresi liniersederhana, analisis koefisien korelasi, uji t, uji F dan koefisien determinasi (R2). Hasil analisis uji t yang diperoleh adalahNilai t hitung dari hasil pengolahan SPSS = 7,239 dan nilai probabilitas = 0,000. Nilai t hitung > t tabel atau 7,239 > 2,000 dan nilai probabilitas F tabel atau 52,404 > 3,96 dan nilai probabilitas < 0,05 atau 0,000 < 0,05 maka Ho ditolak dan Ha diterima. Dengan demikian ada pengaruh Kualitas Pelayanan secara simultan terhadap Kepuasan Konsumen. Untuk peneliti selanjutnya, disarankan untuk memasukkan variabel-variabel baru ke dalam model penelitian atau penelitian selanjutnya dilakukan pada sektor industri lainnya.
Phase separation of toxic dipeptide repeat proteins related to C9orf72 ALS/FTD

The expansion mutation in the C9orf72 gene is the most common known genetic cause for amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). This mutation can produce five dipeptide repeat proteins (DPRs), of which three are known to be toxic: poly-PR, poly-GR, and poly-GA. The toxicity of poly-GA is attributed to its aggregation in the cytoplasm, while for poly-PR and poly-GR several toxicity pathways have been proposed. The toxicity of the DPRs has been shown to depend on their length, but the underlying molecular mechanism of this length dependence is not well understood. To address this, a one-bead-per-amino-acid (1BPA) coarse-grained molecular dynamics model is used to study the single-molecule and phase separation properties of the DPRs. We find a strong dependence of the phase separation behavior on both DPR length and concentration, with longer DPRs having a higher propensity to phase separate and form condensed phases with higher concentrations. The critical lengths required for phase separation (25 for poly-PR and 50 for poly-GA) are comparable to the toxicity threshold limit of 30 repeats found for the expansion mutation in patient cells, suggesting that phase separation could play an important role in DPR toxicity.
The Discrepancies Between Individual-Set and Parent-Set Career Goals Scale: Development and Initial Validation

As there was no existing, psychometrically sound scale that directly assessed the discrepancies that young people experience between individual-set career goals and parent-set career goals, we developed and provided initial validation for a 15-item scale for use with young adults. In Study 1, items were developed, reviewed by experts, and administered to a sample of first year, undergraduate Indonesian students (N = 426, Mage = 18.42 years). We used exploratory factor analysis to reduce the number of items and assess the factor structure and used confirmatory factor analyses on a holdout sample to assess this underlying structure. We then provided evidence for construct validity. Recommendations for use in research and practice are discussed.
Prediction of Parkinson’s disease using Ensemble Machine Learning classification from acoustic analysis

Parkinson’s disease (PD) is a neurodegenerative disorder, which upon progression affects the movements. Tremors associated with Parkinson’s disease are the major symptoms to look out for in such cases. This generally results in breakdown of the neurons producing dopamine. Qualitative speech starts to decline as the disease progresses and the variability in the vocal cord vibration (also known as fundamental frequency) starts to occur. People with PD have shown to produce greater variability in frequency as compared to normal people. In our paper, we are focused on comparison of the voice measurement features of patient dataset to understand whether a patient is suffering from PD or not using Machine Learning classifiers. We have implemented Decision Trees, Logistic Regression and K-nearest neighbors as base classifiers and have compared their performance with Ensemble learning classifiers Bagging, Random Forest and Boosting. We have compared the accuracy (%) of the classifiers and discussed which one of them is more accurate at predicting the outcome of the disease. We also found out the most relevant features associated with the classification and ranked them based on feature importance. Our main aim here is the classification of healthy individuals from people suffering from PD by detection of dysphonia (difficulty in speaking due to declining health conditions).
Analysis of minimum face video duration and the effect of video compression to image-based non-contact heart rate monitoring system

Heart rate (HR) is one of important indicator for human physiological diagnosis, and camera can be used to detect it via photoplethysmograph (PPG) signal extraction. In doing so, number of sample images required to measure the HR signal, and quality of the images itself are important to yield an accurate reading. This paper tackles such an issue by analyzing the effect of sampling interval to HR reading in compressed and original video format, obtained in various ranging locations. Technically, important facial points from video stream were estimated by using cascade regression facial tracker. Based on the facial points, region of interest (ROI) was constructed where non-rigid movement is minimal. Next, PPG signal was extracted by calculating the average value of green pixel intensity from the ROI. Following that, illumination variation was separated from the signal via independent component analysis (ICA). The PPG signal was further processed using series of signal filtering techniques to exclude frequencies beyond range of interest prior estimate the HR. From the experiment it can be observed that sampling time of 2 seconds in uncompressed video shows promising HR within the range of 1 to 5 meters.
Real-time associations between discrimination and anxious and depressed mood among sexual and gender minorities: The moderating effects of lifetime victimization and identity concealment.

Background Sexual and gender minorities (SGM) experience higher rates of depression and anxiety, which are linked to higher rates of discrimination and victimization. SGM individuals may conceal their SGM identities to decrease discrimination and victimization exposure; however, these experiences still occur, and concealment itself is often associated with greater anxiety and depression. However, it remains unclear whether lifetime victimization and identity concealment moderate the effect of day-to-day discrimination, which we evaluated in the current study using ecological momentary assessment (EMA). Methods Fifty SGM participants (Mage=21.82, SD=4.70; 84% White) completed baseline assessment (e.g., concealment and lifetime victimization) followed by EMA of daily discrimination and anxious and depressed mood for 14 days. Results As hypothesized, daily discrimination predicted momentary increases in anxious and depressed mood, b = . 34, p < . 001. Notably, these effects were more pronounced among individuals who reported higher levels of identity concealment, b = . 25, p < . 001, and previous SGM-based victimization experiences (marginally), b = . 18, p = . 05. Main effects of cumulative lifetime victimization and identity concealment, measured at baseline, were associated with higher ratings of anxious and depressed mood over the two-week study. Discussion While identity concealment may reduce exposure to discrimination and victimization, we found that concealment and prior victimization predict heightened reactivity to daily discrimination experiences. Additional research is needed to further explicate real-time effects of minority stress exposure, and to develop interventions that may mitigate risk among SGM individuals with prior victimization exposure and higher levels of identity concealment in particular.
Autoimmune hemolytic anemia in children, 20 years experience of single center

Aim: Autoimmune hemolytic anemia (AIHA) is a rare disease in pediatrics, whose mortality rate was reported to be as high as 10%. AIHA can be primary or secondary to other diseases, Availability of new immunsupressive drugs like mycofenolate mofetil (MMF), has provided the opportunity to reduce long term steroid administration and mortality. In this study we aimed to represent AIHA patients of 20 years, from single centre and focus on the causes, treatment and outcomes. The secondary object was to represent outcomes of patients who received MMF. Material and Methods: This study was designed as a retrospective study. Patients aged three months to 18 years old with hemoglobin level less than 10 g/dl and positive DAT with signs of hemolysis were included in the study. Results: Twenty five AIHA patients (F/ M: 14/ 11) aged 6.2± 4.6 years old were followedup for a mean period of 5.3± 4.8 years. Primary AIHA was detected in 12 (48%) patients. Immune deficiency/ autoimmune lymphoproliferative syndrome was the prominent etiological factor in secondary AIHA. The other underlying diseases were systemic lupus erythematosus, malignancy, autoimmune hepatitis and infection. Eleven patients received MMF with a mean duration of 2.6± 1.6 years. Two of them had primary AIHA, the others had secondary disease. During the followup time, eight patients (75%) achieved remission with MMF. None of MMF users developed side effect. One but all patients with AIHA achieved remission. No death related to AIHA was recorde': recorded Conclusion: Understanding the biology of the disease and making accurate diagnosis is important to avoid harmful treatment and to consider targeted therapy. After the failure of first line therapy with steroids or as a steroidsparing agent, MMF seems to be an effective second-line maintanance immunosuppressive drug without significant side effects.
Molecular mechanisms for the regulation of the Il-10 gene in CD4 T cells : comparison of IL-10-Treg and CD25+Treg

This thesis outlines and provides direct evidence for transcription factor-mediated instructive regulation of the 11-10 gene in CD4 T cells. Firstly, I describe transcription factors that are differentially expressed in populations of IL-10-producing CD4 T cells. Genome-wide mRNA profiles (GeneChip) are used from six populations of CD4 T populations which represent both temporal and lineage-specific time-points within naive, effector and regulatory CD4 T cell populations. Secondly, validation experiments (qPCR) verified whether transcription factors isolated from the genome-wide profiling experiments (GeneChip) were quantitatively expressed in IL-10-producing populations. Thirdly, comparative genomics was used to analyze in silico the 11-10 locus for conserved putative transcription factor binding sites at potential regulatory regions. Selected transcription factors were retro-virally transduced into primary naive CD4 T cells and analyzed for their ability to induce IL-10 expression in a variety of differentiation conditions. Finally, the role of functionally validated transcription factors inducing IL-10 production was investigated at the molecular level, via their presence at specific locations at the 11-10 locus in vivo and in chromatin modifications. One example, GATA-3, shown here to be differentially expressed in IL-10-producing CD4 T cell populations, instructing modifications at the 11-10 locus and inducing IL-10 production in CD4 T cells. The second aim of this thesis was to investigate — at the transcription factor-level -- the comparison of two phenotypically different CD4 regulatory T cell populations (CD25+Treg and IL-10-Treg). On one hand, both CD4 T regulatory cell populations are similar in that they do not produce effector upon secondary stimuli, both are anergic, and both suppress CD4 T cell proliferation in vitro and in vivo (as shown by their ability to abrogate multiple autoimmune and allergic disease animal models). On the other hand, CD25+Treg are phenotypically described by their expression of the lineage-specific transcription factor, FoxP3, and IL-10- Treg do not express FoxP3. Therefore, the molecular mechanisms as to how IL-10- Treg do not express effector cytokines, are anergic and suppress CD4 T cell proliferation in vitro and in vivo without the expression of FoxP3 is investigated in this thesis. This thesis concludes by providing strong evidence that IL-10-Treg down-regulate key NF-kB and AP-1 family transcripts and inhibit NFAT transcriptional activity, thereby compensating for FoxP3 expression, which is necessary in natural occurring CD25+Treg.
Combining sources of side-channel information

A few papers relate that multi-channel consideration can be beneficial for side-channel analysis. However, all were conducted using classical attack techniques. In this work, we propose to explore a multi-channel approach thanks to machine/deep learning. We investigate two kinds of multi-channel combinations. Unlike previous works, we investigate the combination of EM emissions from different locations capturing data-dependent leakage information on the device. Additionally, we consider the combination of the classical leaking signals and a measure of mostly the ambient noise. The knowledge of the ambient noise (due to WiFi, GSM,. . .) may help to remove it from a noisy trace. To investigate these multi-channel approaches, we describe one option of how to extend a CNN architecture which takes as input multiple channels. Our results show that multi-channel networks are suitable for side-channel analysis. However, if one channel alone already contains enough exploitable information to reach high effectiveness, naturally, the multi-channel approach cannot improve the performance further.
Efficacy and safety of panchgavya GHRIT along with flunarizine in prophylaxis for migraine patients: a comparitive study

Background: Propranolol and flunarizine have proven to be useful tools in migraine prophylaxis. This trial aims the comparison of the efficacy of flunarizine, flunarizine and placebo and flunarizine and panchgavya ghrit in migraine prophylaxis. Methods: The present study was a prospective, randomized, open-label, blinded-endpoint trial. Patients with chronic migraine were randomized (1:1:1) to flunarizine and flunarizine and placebo and flunarizine and panchgavya ghrit in three treatment groups. The study was carried out in outdoor patients in the department of Psychiatry, T.S. Mishra Medical College and Hospital, Lucknow and K.G. M.U, Ayush Department, Lucknow after clearance from Institutional Ethical Committee. Data was analysed using SPSS software. Results: The prevalence of migraine was found to be higher in the age group greater than 30 years and females. Overall there was more reduction in CGI scores in flunarizine with panchgavya ghrit and the other two groups equally at the end of 4, 6 8 and 10 weeks. Decrease in MIDAS score was observed after the therapy. Clinical Global Impression rating scale employed revealed that to start with subjects scored 7 which stands for pathology interfering in many life functions which reduced drastically in Group C as compared to Group B and Group A in descending order. Pain scales namely VAS (visual analogue scale), NPRS (Numeric Pain Rating Scale), VRS (verbal rating scale) when employed denoted there was decreased migraine frequency, decreased perception of pain, less intake of abortive medication consumed by subjects implying there were reduction in number of migraine days and there was decrease in the abortive medications taken for the same. Group C scored better on pain scales followed by Group B and Group A. Lower proportion of individuals in group C had Behavioural Toxicity and Neurological Side effects as compared to Group A and B. Conclusions: Panch gavya ghrit when administered along with flunarizine was more efficacious and safe when compared with other two groups. However large multicentric RCTs of long duration and involving more number of subjects are required to ascertain these facts.
Aplicativo para coleta de dados de avaliação de públicos em museus

Este trabalho apresenta um aplicativo cuja finalidade e conhecer os publicos do Museu Câmara Cascudo (MCC), coletando dados relevantes para o museu sem fadigar os visitantes. O trabalho teve como apoio metodos e tecnicas de Design de Interacao e Design Centrado no Usuario, assim como conhecimentos das Tecnologias da Informacao. Os metodos empregados inicialmente foram pesquisa desk e entrevista para assim serem elaborados os requisitos do projeto. Em seguida, foram realizadas a concepcao da interacao, sua avaliacao formativa e sua revisao conforme os resultados desta avaliacao. Por ultimo, a interface do aplicativo foi planejada e representada num prototipo interativo de alta fidelidade para assim, ser submetida a um teste de usabilidade. Como resultado, tem-se o projeto de um aplicativo de coleta de dados de publicos atraves de um questionario eficiente com grande potencial de auxiliar o MCC a conhecer melhor seus publicos. Uma solucao digital possui vantagens em relacao a solucoes analogicas por ser de menor custo, maior flexibilidade, maior facilidade de atualizacao e de analise dos dados; o que possibilita uma melhor gestao do museu a curto, medio e longo prazo.