Miracle-dz/UniFAR-FTUs huggingface dataset:
Clampeo tardío de cordón umbilical: saturación de oxígeno en recién nacidos

Introducción: el retraso del clampeo de cordón umbilical tiene como beneficios la reducción del número de transfusiones de sangre y de la incidencia de hemorragia intraventricular en recién nacidos prematuros, además de la prevención de la anemia infantil. El objetivo de este trabajo es determinar los efectos del clampeo tardío sobre la saturación de oxígeno capilar y valorar la presencia de complicaciones maternas y neonatales en las primeras horas de adaptación a la vida extrauterina. Material y método: en 19 neonatos en los que se realizó el pinzamiento de cordón al cese de latidos umbilicales, se demostró el pasaje de sangre mediante el control continuo de la variación de peso. El tiempo promedio de cese del latido del cordón umbilical fue 2’ 39" (± 2’ 27 “). Se controló de manera específica la saturación de oxígeno capilar, alcanzando 89% (± 4,6%), 94% (± 4,1%) y 96% (± 3,8%) a los 5, 10 y 15 minutos de vida respectivamente. La temperatura a los 10 minutos de vida fue de 36,6o ± 0,6oC. A las 48 horas de internación no se comprobó ictericia que requiriera fototerapia ni complicaciones cardiovasculares o respiratorias. Tampoco se comprobaron diferencias en los valores hematimétricos maternos, antes del parto y en el puerperio inmediato ni en el alumbramiento. Conclusiones: esperar el cese de latido de cordón umbilical no se asoció a complicaciones en las madres ni en la adaptación a la vida extrauterina de los recién nacidos en las primeras 48 horas de vida.
Differing Expression and Potential Immunological Role of C-Type Lectin Receptors of Two Different Chicken Breeds against Low Pathogenic H9N2 Avian Influenza Virus

Diverse immune responses in different chicken lines can result in varying clinical consequences following avian influenza virus (AIV) infection. We compared two widely used layer breeds, Lohmann Brown (LB) and Lohmann White (LW), to examine virus replication and immune responses against H9N2 AIV infection. The transcription profile in the spleen of H9N2-infected chickens was compared using a microarray. Confirmatory real-time RT-PCR was used to measure the expression of C-type lectin, OASL, and MX1 genes. Additionally, to investigate the role of chicken lectin receptors in vitro, two C-type lectin receptors (CLRs) were expressed in DF-1 cells, and the early growth of the H9N2 virus was evaluated. The LB chickens shed a lower amount of virus from the cloaca compared with the LW chickens. Different expression levels of C-type lectin-like genes were observed in the transcription profile, with no significant differences in OASL or MX gene expression. Real-time RT-PCR indicated a sharp decrease in C-type lectin levels in the spleen of H9N2-infected LW chickens. In vitro studies demonstrated that cells overexpressing CLR exhibited lower virus replication, while silencing of homeostatic CLR had no effect on AIV replication. This study demonstrated distinct immune responses to H9N2 avian influenza in LB and LW chickens, particularly with differences in C-type lectin expression, potentially leading to lower virus shedding in LB chickens.
Hydroponic production of selected flower and herb crops in red lava rock

“Hydroponic Production of Selected Flower and Herb Crops in Red Lava Rock” Victoria Elizabeth González-Lerma In terms of cost and availability, it is important that new materials are tested as a hydroponics soil-less media, especially in areas where traditional hydroponic media such as rockwool and perlite are not available or cost prohibitive. Red lava rock or “Tezontle” has potential as a media due to its physical characteristics and cost. However, limited experience has been gained with this material as a hydroponic media for crops outside of tomato, pepper, melon, and tomatillo. In an attempt to diversify hydroponic crop production systems in semi-arid regions of Mexico, red lava rock (tezontle)-based hydroponic systems were tested in three experiments designed to study the effect of watering regimens on the growth and development of four herbs (basil, thyme, rosemary, and mint) and one ornamental (sunflowers). In Experiment 1 plants were watered at 80%, 100% and 120% of container capacity. In Experiments 2 and 3 plants were irrigated applying the same amount of water at each irrigation but at five different treatment levels (every other day, once a day, two times a day alternated with one time the next day, two times in a day, and three times in a day). In general, the growth and performance of plants improved as the amount of irrigation water increased. In the three experiments, all plants suffered drought stress in treatments receiving the least irrigation and therefore also produced the lowest yields. However, each of the plant species included in this study showed different response patterns to irrigation amount and frequency. Thyme, despite its low yield in the low watering level (80%) in Experiment 1 and less frequent irrigation treatment (every other day irrigation) in Experiments 2 and 3, performed best in terms of marketable characteristics (width of stems and size of leaves), in these low water applications. In addition, thyme showed low yields in the treatments receiving the most irrigation suggesting that thyme can be grown with relatively low amounts of water at each application or less frequent water application than any of the other crops included in this study. In conclusion, basil, thyme, rosemary, sunflowers and mint can be successfully grown in a greenhouse tezontle-based hydroponic system with a low input of water. Although plants receiving the lowest irrigation showed low yields, they still showed acceptable marketable characteristics to be sold fresh or dried.
Robust Multi-Dimensional Time Series Forecasting.

Large-scale and high-dimensional time series data are widely generated in modern applications such as intelligent transportation and environmental monitoring. However, such data contains much noise, outliers, and missing values due to interference during measurement or transmission. Directly forecasting such types of data (i.e., anomalous data) can be extremely challenging. The traditional method to deal with anomalies is to cut out the time series with anomalous value entries or replace the data. Both methods may lose important knowledge from the original data. In this paper, we propose a multidimensional time series forecasting framework that can better handle anomalous values: the robust temporal nonnegative matrix factorization forecasting model (RTNMFFM) for multi-dimensional time series. RTNMFFM integrates the autoregressive regularizer into nonnegative matrix factorization (NMF) with the application of the L2,1 norm in NMF. This approach improves robustness and alleviates overfitting compared to standard methods. In addition, to improve the accuracy of model forecasts on severely missing data, we propose a periodic smoothing penalty that keeps the sparse time slices as close as possible to the time slice with high confidence. Finally, we train the model using the alternating gradient descent algorithm. Numerous experiments demonstrate that RTNMFFM provides better robustness and better prediction accuracy.
Diversifying Quranic revision methods using gamification-based teaching material for tahfiz education

This study discusses the development procedure of the global tahfiz game (GTG) as a teaching aid for the Quranic revision subject for tahfiz students based on the gamification concept. Comprehensive design and development research (DDR) was used as the research method. The analysis includes conceptual and material development, expert evaluation, testing, and the final product. The development of concepts and materials used in this gamification was based on the theoretical framework of mechanics, dynamics, and aesthetics (MDA), with the application of tahfiz education elements. To examine the ability of GTG prototype to tackle the users’ needs, we have conducted the usability analysis. The expert teacher's mean score for the trial run on this gamification was high at 4.85. The trial run score for student participants was also high (4.45). The result demonstrated that most of the constructs are perceived at a high level by respondents. Thus, this indicated the high usability of GTG to be used as a teaching aid for a Quranic revision subject. The gamification of Quranic tahfiz based on board games has been finalized through recommendations and improvements based on the evaluation. The study findings are expected to be useful for educational institutions or researchers in developing teaching materials using the MDA framework for gamification, particularly in the field of Islamic education.
B-DT Model: A Derivative Ensemble Method to Improve Performance of Intrusion Detection System

—In cyber security, system security must be prioritized. Therefore, to improve system security, a system device called an Intrusion Detection System (IDS) is needed. IDS is a system that can detect suspicious activity on a system or network. The constraint of IDS is many types of attacks appear now, making it difficult to detect them. Therefore, many IDS based on machine learning have been applied to overcome this constraint. And machine learning has been widely adopted to improve IDS performance. However, false detection occurs frequently. The problem raised in this study is the large number of false detections that still occur. The main objective of this study is to reduce the occurrence of false detection in IDS. Then, to achieve this objective, this paper proposes a model called the B-DT model. The Bagging-DT (B-DT) model combines the Bagging technique ensemble-base and Decision Tree (DT) classifier. The B-DT model was trained and evaluated on NSL-KDD and UNSW-NB15 datasets. The results showed that it can reduce false detection from 11,305 data to 243 data in the NSL-KDD dataset. Besides that, the B-DT model can reduce false detection from 2,504 data to 871 in the UNSW-NB15 dataset. In addition, model performance has increased in accuracy, precision, recall, f1-score, and kappa-score. Based on the results, the B-DT model’s performance can achieve an accuracy of 99.45% on the NSL-KDD dataset and 79.67% on the UNSW-NB15 dataset. This model can work well not only on binary-class data but also on multi-class labeled data. The statistical evaluation shows this model has increased significantly compared to other models. These results suggest that the proposed B-DT model can effectively enhance the performance of IDS and be a promising solution for practical applications.
Determinant Yield Spread Sukuk dan Obligasi Konvensional di Indonesia

Penelitian ini bertujuan untuk mempertegas perbedaan antara Sukuk dan Obligasi Konvensional melalui faktor yang mempengaruhi yield spread pada Sukuk dan Obligasi Konvensional. Peneliti menggunakan dua variabel utama dalam menganalisa perbedaan yield spread yaitu firm spresific dan kondisi makro ekonomi. Data yang digunakan adalah Sukuk dan Obligasi Konvensional pada periode 2015 – 2021 dengan jangka waktu jatuh tempo pada 3, 5 dan 7 Tahun dengan total 385 Obligasi Konvensional dan 80 Sukuk. Hasil Penelitian mengungkapkan pada Obligasi Konvensional, rasio kecukupan bunga berpengaruh secara signifikan terhadap selisih imbal hasil, sedangkan pada Sukuk rasio modal menjadi variabel yang signifikan mempengaruhi. Sukuk dan Oblagasi Konvensional juga dipengaruhi oleh kondisi makro ekonomi dengan variabel yang berbeda.
Refined geological history of the polyphase plutonometamorphic complex in the Thala Hills area (Enderby Land, East Antarctica) from zircon SHRIMP dating and implications for Neoproterozoic amalgamation of Gondwanaland

Abstract The Thala Hills area occupies a key position in Gondwanaland reconstructions near the India–Sri Lanka–Antarctica junction. We present U–Pb zircon isotopic age determinations from SHRIMP II obtained on four granite gneiss samples. Three high-temperature tectonomagmatic episodes may be distinguished in the study area at c. 980–970, c. 780–720 and c. 545–530 Ma. The c. 980–970 Ma event corresponds to the Rayner Structural Episode that affected East Antarctica, including the Sør Rondane Mountains to the west and Kemp Land to the east. The c. 780–720 Ma episode included two events at approximately 780 Ma (high-grade anatexis) and 720 Ma (syntectonic granitoid emplacement), and was roughly coeval with tectonomagmatic events in Dronning Maud Land of East Antarctica, as well as in other Gondwanaland regions, such as Madagascar, Sri Lanka and eastern Africa. The c. 780–720 Ma episode may be correlated with the East African Orogeny. These correlations argue for a similar geological evolution and conjugate position for Dronning Maud Land and Enderby Land despite a postulated Cambrian Lützow–Holm Bay suture separating them. The Cambrian (c. 545–530 Ma) episode was manifested by high-grade anatexis that confirms previously identified late Neoproterozoic–Cambrian tectonothermal activities in the study area. Supplementary material: Trace element compositions of zircons and whole-rock chemical compositions obtained by previous studies are available at https://doi.org/10.6084/m9.figshare. c.3738332
Relative change in stream discharge from a tropical watershed improves predictions of fecal bacteria in near-shore environments

ABSTRACT Statistical models poorly predict bacteria in near-shore environments of tropical islands due to inaccuracies in runoff and discharge characterization of storm events. Intense, short duration storms on small, steeply sloped watersheds produce high rates of runoff, resulting in rapid pulses of discharge that influence the physical and physiological conditions of the fate and transport of pathogens. As such, increasing rates of discharge are expected to have a different influence on sediment transport and pathogen load compared to decreasing rates of discharge. Regression modeling was used to examine the affect of antecedent streamflow on the interaction between environmental parameters and two fecal indicator bacteria, enterococci and Clostridium perfringens. Including the relative change in discharge incorporates a proximate representation of the energy available to transport particulates, improving predictions of near-shore water quality. Understanding factors that influence pathogen loads improves management of watersheds and protects public health.
High accuracy recognition of muscle fatigue based on sEMG multifractal and LSTM

A muscle fatigue identiﬁcation method that integrates the multifractal of sEMG with LSTM is proposed. The MFDMA method was introduced to analyze and extract non-linear properties of sEMG. The signiﬁcance of diﬀerences between the fatigue and non-fatigue states in terms of spectral width, Hurst index variation diﬀerence, and peak singularity index was determined using the t -test. A LSTM networks under the combined feature set comprising multiple fractals was built, and its recognition accuracy was 98.91%. The LSTM network model was found to be more accurate than other classiﬁcation methods in identifying muscle fatigue under the same feature set.
The silicon vertex detector of the Belle II experiment

In 2019 the Belle II experiment started data taking at the asymmetric SuperKEKB collider (KEK, Japan) operating at the Y(4S) resonance. Belle II will search for new physics beyond the standard model by collecting an integrated luminosity of 50 ab−1. The silicon vertex detector (SVD), consisting of four layers of double-sided silicon strip sensors, is one of the two vertex sub-detectors. The SVD extrapolates the tracks to the inner pixel detector (PXD) with enough precision to correctly identify hits in the PXD belonging to the track. In addition the SVD has standalone tracking capability and utilizes ionization to enhance particle identification in the low momentum region. The SVD is operating reliably and with high efficiency, despite exposure to the harsh beam background of the highest peak-luminosity collider ever built. High signal-to-noise ratio and hit efficiency have been measured, as well as the spatial resolution; all these quantities show excellent stability over time. Data-simulation agreement on cluster properties has recently been improved through a careful tuning of the simulation. The precise hit-time resolution can be exploited to reject out-of-time hits induced by beam background, which will make the SVD more robust against higher levels of background. During the first three years of running, radiation damage effects on strip noise, sensor currents and depletion voltage have been observed, as well as some coupling capacitor failure due to intense radiation bursts. None of these effects cause significant degradation in the detector performance.
Woman Entrepreneurship in High-Tech Sector: Sectoral and Spatial Differentiations in Ankara

In the recent years, the number of women starting and owning a business has increased dramatically and women entrepreneurs have begun to enter high technology sector near traditional ones. As the recent studies on the entrepreneurship focus especially on male entrepreneurs and as the women entrepreneurs are regarded as working generally in traditional sectors, the researches about women entrepreneurs in non-traditional high-tech sector carry great importance. Within this scope, the study examines the women entrepreneurs acting as the owner or partner of the firms in high-tech sector in Ankara. The sectoral and spatial differences of women owned high-tech firms are compared in technology development zones, which are found to be the agglomeration spaces of high-tech firms, and out of these zones. In the study, in-depth interviews realized with female entrepreneurs are evaluated in details under three parts: characteristics of entrepreneurs, firm quality and performance of the firm, and location choices of the firm. It is found out that high-tech sector forms a potential for woman entrepreneurship and it creates various opportunities for supporting woman entrepreneurs. ÖZ Yeni bir iş kuran ya da kendi işinin sahibi olan kadın girişimcilerin sayısı son yıllarda hızla artmaktadır. Kadın girişimciler artık sadece geleneksel sektörlere değil, ileri teknolojiyle ilgili sektörlere de giriş yapmaktadır. Girişimcilik üzerine yapılan çalışmaların daha çok erkek girişimciler üzerine odaklanması ve kadın girişimcilerin çoğunlukla geleneksel sektörlerde yer aldığının kabul edilmesi, geleneksel olmayan bir sektör olarak ileri teknoloji sektöründe kadın girişimciliğinin araştırılmasını önemli kılmaktadır. Çalışma kapsamında, Ankara’da ileri teknoloji sektöründe yer alan firma sahibi veya firma ortağı pozisyonundaki kadın girişimciler araştırılmaktadır. Araştırmada kadın girişimcilerin sahip olduğu ileri teknoloji firmaları, bu firmaların yığılma mekanları olarak görülen teknoloji geliştirme bölgeleri (TGB) ile bu bölgeler dışında kalan alanlarda, sektörel ve mekânsal farklılıklar açısından karşılaştırılmaktadır. Kadın girişimcilerle yapılan derinlemesine görüşmelerle; girişimci özellikleri, firmanın niteliği ve firma performansı, ve firmanın mekânsal yer seçimi detaylı olarak değerlendirilmektedir. Tüm bu özellikler açısından ileri teknoloji sektörünün, özellikle kadın girişimciliği desteklemeye açık bir potansiyel oluşturduğu ve sektörün kadın girişimcilere çeşitli imkanlar yarattığı ortaya konulmaktadır. Anahtar sözcükler: Ankara; ileri teknoloji; kadın girişimci; teknoloji geliştirme bölgesi.
Domain Adaptation Using Suitable Pseudo Labels for Speech Enhancement and Dereverberation

Speech enhancement and dereverberation approaches based on neural networks are designed to learn a transformation from noisy to clean speech using supervised learning. However, networks trained in this way may fail to effectively handle languages, types of noise, or acoustic environments that were not included in the training data. To tackle this issue, the present study centers around unsupervised domain adaptation, specifically addressing scenarios characterized by substantial domain gaps. In this scenario, we have noisy speech data from the new domain, but the corresponding clean speech data is unavailable. We propose an adaptation method based on domain-adversarial training followed by iterative self-training, where the estimated speech is used as pseudo labels, and the target samples are gradually introduced to the network based on their similarity to the source domain. The self-training also utilizes labeled samples from the source domain which are similar to the target domain. The experimental results show that our method effectively mitigates the domain mismatch between the training and test sets, thus outperforming the current baselines.
The Interplay of Health Behaviour within Social, Cultural, and Political Contexts: An Integrative Review

This integrative review examines the multifaceted interplay of health behaviour within social, cultural, and political frameworks, emphasising the transition from a reductionistic to a holistic paradigm in understanding health dynamics. Recognising health as more than the absence of disease, the paper underscores the significance of lifestyle factors in modern morbidity and mortality, advocating for health promotion strategies that include lifestyle modifications and legislative measures. Delving into systems research, it highlights the importance of socio-political and ecological factors in shaping health behaviours, exploring the evolution of the concept of a healthy lifestyle as a dynamic and interconnected phenomenon. The review further discusses the implications of social determinants, technological advances in gathering longitudinal health data, and the impact of social discrimination and interpersonal dynamics on health behaviours. Innovative research concepts integrating social and behavioural sciences, such as complex systems, social genomics, and epigenetics, are explored. The paper culminates by drawing parallels between the health behavioural approaches to HIV and COVID-19, illustrating the necessity of a multidisciplinary, multi-level approach to health behaviour research and policymaking. This comprehensive review emphasises the need for an integrated understanding of health behaviours, considering individual, community, and societal influences to inform effective health promotion and disease prevention strategies.