Miracle-dz/UniFAR-FTUs huggingface dataset:
Functional genomics of Crassulacean acid metabolism in the monocot biomass feedstock crop Agave sisalana

Certain Crassulacean acid metabolism (CAM) crops have been recognised as having great potential for the production of renewable biomass for bioenergy production from seasonally dry lands. The work described in this thesis sought to investigate the functional genomics of CAM development and light/ dark regulation in the obligate CAM species Agave sisalana. Semi-quantitative RT-PCR analysis was employed to study the regulation of CAM genes in leaf tissues. The transcript levels of the CAM genes phosphoenolpyruvate carboxylase (AsPPC) and pyruvate orthophosphate dikinase (AsPPDK) were highest in the mature tip, lower in the young, expanding base, and very low to undetectable in the most basal white tissue of the youngest fully expanded leaf from ~3-month-old plants. The PEPC kinase gene (AsPPCK) did not show a clear pattern of differential regulation of its transcript level between the leaf tip and base. CO2 exchange measurements, immuno-blotting of known CAM proteins and malate measurements further confirmed CAM induction in the leaf tip. Furthermore, this is the first report of a circadian rhythm of CO2 fixation in a monocot CAM species. The phosphorylated form of PEPC was only detected in the leaf tip in the dark. Sucrose was highest in the leaf tip, and showed strong light/ dark regulation and clear evidence for circadian clock control. A putative sucrose metabolism-related gene, cell wall invertase (As_cwINV), exhibited strong light/ dark regulation and a robust circadian rhythm in the leaf tip. De novo transcriptome assembly using Illumina RNA-sequencing data totalling ~90 Gbp was generated from light and dark samples of the white basal, pale green basal, and dark green tip sections of the youngest fully expanded leaf sampled in the light (2 h before dusk) and dark (2 h before dawn). Differential expression analysis identified novel CAM-induced transcription factor genes AsNAC (c566713_g1), AsWRKY (c571790_g2), and AsPLATZ (c541787_g1), which exhibited a robust pattern of both light/ dark regulation and circadian clock control, which was established using Q-RT-PCR analysis. Overall, this study provides a high quality whole transcriptome assembly and quantitative analysis resource underpinning future functional genomics studies of CAM in A. sisalana. The CAM-induced and circadian clock controlled transcription factors identified in this study could also be investigated further through generating stable transgenic RNA interference lines or other approaches to determine their functions. This study has also proposed a novel CAM pathway showing leaf development and light/ dark regulation of CAM genes, including the fructan metabolism pathway, thereby providing a better understanding of how fructan might be synthesised and accumulated and turned over to supply part of the PEP required for nocturnal CO2 fixation, in addition to the utilisation of sucrose by CAM in the A. sisalana leaf.
Prediksi Harga Saham Dengan Menggunakan Jaringan Syaraf Tiruan

Salah satu sektor keuangan di Indonesia adalah sektor Pasar Modal yang memperjual-belikan saham-saham perusahaan publik. Dewasa ini investasi di Pasar Modal mulai digemari oleh masyarakat, namun demikian banyak masyarakat awam yang belum memahami analisis fundamental maupun teknikal untuk pengambilan keputusan pembelian atau penjualan saham. Tujuan penelitian ini memberikan alternatif analisis saham menggunakan Jaringan Syaraf Tiruan. Algoritma yang digunakan dalam penelitian ini menggunakan back propagation. Penelitian ini menunjukan bahwa menggunakan Jaringan Syaraf Tiruan mampu memprediksi harga saham dengan rata-rata tingkat error sebesar 3.38%. Dengan demikian penggunaan Jaringan Syaraf Tiruan untuk mempediksi harga saham dapat dijadikan alternatif dalam pengambilan keputusan pembelian atau penjualan saham
Ovarian follicular dynamics in 2 to 3 months old Nelore calves (Bos taurus indicus)

This study aimed to evaluate reproductive physiology aspects in 2 to 3 months old Nelore (Bos taurus indicus) calves. Follicular dynamics was monitored daily by ultrasound in ten calves during 18 consecutive days. Calves younger than 2.25 months old (n = 4) had maximum follicle diameters ≤2.5 mm, so only the other animals (n = 6) continued to be monitored by ultrasound. The mean maximum diameter of the ovaries was 13.6 ± 0.6 mm, which had 31.4 ± 3.45 visible follicles. A successive anovulatory follicular wave-like pattern was identified when each wave showed a dominant follicle, including a variable number of other follicles smaller in size (subordinate follicles), during the observational period. Three consecutive follicular growth waves were detected per animal, during this time interval, when 50% of the animals (n = 3) showed two waves and the other half (n = 3) had three waves. The first day of detection of the dominant follicle, retrospectively identified at a diameter of 2 mm, was defined as the day of wave emergence on each wave (day zero). Considering the grouped data, the follicular wave length was 9.2 ± 2.0 days and the correlated dominant follicle began its regression at 6.33 ± 1.63 days after the day of its emergence. The dominant follicles had a growth rate of 0.23 ± 0.06 mm/day and reached the maximum diameter of 3.03 ± 0.17 mm. Despite the smaller ovarian and follicle diameters in 2 to 3 months old Nelore calves (Bos taurus indicus) compared to studies in post pubertal females; the follicular wave-like pattern and the number of recruited follicles were similar to the reported in Zebu females in reproductive activity. These data can characterize an early critical moment on the reproductive development of these animals
Effects of sex steroid hormones on the neurovascular unit in the mouse hypothalamus

Functional integrity of the blood-brain barrier (BBB) is compromised in many neurological and metabolic pathologies. Cerebral blood vessels are target tissue for sex steroid hormones but the relative contribution of these endocrine effectors and their receptors in the BBB integrity are still unclear. Effects of gonadal hormones on the mouse neurovascular unit were studied, focusing on the hypothalamic medial preoptic area, a highly sensitive brain area to gonadal steroid hormones. BBB permeability increased in both gonactectomized male and female, is associated with tight junction disorganization and lower expression of tight junction proteins, glial activation, and up-regulation of inflammatory molecules in male. Testosterone supplementation restores the BBB impermeability, tight junction integrity, and almost completely abrogated the inflammatory features. Androgen and estrogen receptor may be involved in testosterone-induced regulation of the formation and maintenance of tight junction in males. Studying the involvement of these receptors using a trans-genic mice line selectively lacking neural AR in the CNS, highlighted the negative effect of this dele-tion on the BBB and TJ integrity. To complete, ex vivo slices of male mouse hypothalamus allowed to assess short-term molecular mechanisms of testosterone on the BBB structure and function.These data raise questions about the potential deleterious effects of endocrine disruptors on the BBB integrity and the occurrence of neurological and metabolic diseases.
The Relation of Body Temperature and Vaginal Cytology Examination in Time Artificial Insemination Rate Fat-tailed Sheep (Ovis Aries) in The District Sidoarjo East Java

Ewes fertility is one aspect that needs to maximum level. Reproductive performance in sheep livestock in Indonesia has become one of the main determinants of reproductive success. This study has been carried out of the body temperature measurement and sampling of vaginal cytology of 60 fat-tailed sheep before artificial insemination in Sidoarjo East Java. Body temperature measurement is done in the rectum of reported ewes in heat and artificial insemination requested can be determined by observing the condition of the vulva of ewes such as the presence or absence of mucus through the vagina, vulva swollen and reddened vulva mucosa. vaginal cytology sampling with a cotton swab inserted into the vulva ± 15cm of ewes that reported in heat then interpreted by a microscope. The result showed that ewe’s body temperature in 39.1 o C-39.2 o C has a significant correlation with vaginal cytology type on oestrous phase. Keyword: Ewes, body temperature, vaginal cytology, the district Sidoarjo East Java
MemTorch: A Simulation Framework for Deep Memristive Cross-Bar Architectures

Memristive devices arranged in cross-bar architectures have shown great promise to facilitate the acceleration and improve the power efficiency of Deep Learning (DL) systems for deployment in resource-constrained platforms, such as the Internet-of-Things (IoT) edge devices. These cross-bar architectures can be used to implement various in-memory computing operations, such as Multiply-Accumulate (MAC) and convolution, which are used extensively in Deep Neural Networks (DNNs) and Convolutional Neural Networks (CNNs). Currently, there is a lack of an open source, general, high-level simulation platform that can fully integrate any behavioral or experimental memristive device model into cross-bar architectures. This paper presents such a framework named MemTorch, which integrates directly with the well-known PyTorch Machine Learning (ML) library. To demonstrate an example practical use of MemTorch, we use it to simulate the performance degradation that non-ideal devices introduce to a typical Memristive DNN (MDNN) implementing VGG-16 for CIFAR-10. Our open source1 MemTorch framework can be used by circuit and system designers to conveniently build customized large-scale simulation platforms, as a preliminary step before circuit-level realization.
Measuring prevailing practices of healthcare professional on electronic health record through the lens of Iraq

Paper based approach to clinical documentation such as handwritten notes among health care providers are cause of errors in medical field. Therefore, health record system needs to be replaced with electronic health record (EHR). Many health professionals in developing countries specifically in Iraq refuse to use the systems implemented for their benefits due to many reasons. Thus, the use of electronic services is important for successful electronic health implementations. Therefore, this study is intended to identify the main factors affecting the intention of use of the electronic health record in Iraq. Health professional staff who work in the main hospital in Dhi-Qar is chosen because this province is the first local province that implemented many electronic projects. The present study examined use of user acceptance of technology, based on the Technology Acceptance Model (TAM). Moreover, the quantitative method approach for data collection using survey from staff who work in the main hospital in Dhi-Qar. Data was analyzed using Structural Equation Modeling using AMOS. The results indicated significant relationship between Ease of Use, Usefulness, Usefulness, Attitude, and Intention of use of EHR. These finding have implementation for decision makers in Iraq government to improve future implementation of e-health services.
Experimental investigation on solar flat plate collector using alumina nanofluid with tube inserts

ABSTRACT The heat transfer and friction characteristics of thermosyphon solar flat plate collector using Al 2 O 3 /water nanofluid as working fluid with helical twist insert and its impacts are analysed. Thermal behaviour, heat augmentation and pressure drop characteristics of the modified collector are compared with those of conventional riser tube collector. Alumina nanofluid of 0.1%, 0.3% and 0.5% volume concentrations are used in riser tube of the solar flat plate collector which has helical twist with rod as insert. Correlations for heat augmentation and friction factor in terms of performance parameters like Nusselt number, Prandtl number and fluid concentrations showed acceptable deviations. The convective heat transfer coefficient varies directly with the volume concentration of Al2O3 nanoparticles in base fluid, conversely increasing the fluid concentration increase the density of the nanofluid leading to increase in pressure drop and friction. Results favour to modified nanofluid collector in terms of thermal performance, higher heat removal rate from absorber plate in solar flat plate collector.
Automatic mode-matching of a Fabry-Pérot cavity with a single photodiode and spatial light modulation

Conventional cavity alignment sensing uses multi-element photodiodes to sense the matching of a laser beam to the mode of a cavity. We present a new approach that uses a single-element photodiode combined with deformable mirrors to modulate orthogonal codes across distinct spatial regions of the laser wavefront. By decoding the photodiode signal it is possible to map the mode mismatch and produce error signals for feedback to the mirrors to optimize the coupling of the laser to the cavity. We characterise this sensing and control system experimentally and demonstrate closed-loop enhancement of cavity alignment and mode matching.
A 3D Reconstruction Method Using Multisensor Fusion in Large-Scale Indoor Scenes

RGBD camera-based VSLAM (Visual Simultaneous Localization and Mapping) algorithm is usually applied to assist robots with real-time mapping. However, due to the limited measuring principle, accuracy, and distance of the equipped camera, this algorithm has typical disadvantages in the large and dynamic scenes with complex lightings, such as poor mapping accuracy, easy loss of robot position, and much cost on computing resources. Regarding these issues, this paper proposes a new method of 3D interior construction, which combines laser radar and an RGBD camera. Meanwhile, it is developed based on the Cartographer laser SLAM algorithm. The proposed method mainly takes two steps. The first step is to do the 3D reconstruction using the Cartographer algorithm and RGBD camera. It firstly applies the Cartographer algorithm to calculate the pose of the RGBD camera and to generate a submap. Then, a real-time 3D point cloud generated by using the RGBD camera is inserted into the submap, and the real-time interior construction is finished. The second step is to improve Cartographer loop-closure quality by the visual loop-closure for the sake of correcting the generated map. Compared with traditional methods in large-scale indoor scenes, the proposed algorithm in this paper shows higher precision, faster speed, and stronger robustness in such contexts, especially with complex light and dynamic objects, respectively.
Face Aging on Realistic Photo in Cross-Dataset Implementation

Face aging or age progression is a prediction on how a person looks at the future. Face aging image-to-image translation is a process of translating an image of young people to their older version or vice versa. The need for a paired training dataset to train the generative adversarial networks (GANs) is a major problem with face aging image-to-image translation. Nowadays, there is a method where an unpaired training dataset can be used to do an image-to-image translation. CycleGANs is a GANs extended methods where there is no need for paired training dataset to train the CycleGANs. From the result, it shows that CycleGANs can do face aging image-to-image translation without using the paired training dataset.
Diabetes mellitus and male infertility

Infertility is prevalent in about 10%-25% of couples in their reproductive age, analogous to 60-80 million infertile couples globally. Of these infertility cases, 10%-30% are exclusively attributed to a problem of the male. Several diseases have been implicated as contributors to deteriorating male fertility and diabetes mellitus (DM) is included. DM, a chronic non-communicable disease, has been considered as one of the most appreciable health threats, as it affects 9% (422 million) of the world’s population as of 2014. It is characterised by hyperglycaemia, which can result from the inability of the pancreatic β-cells to secrete insulin or from the target tissue becoming insensitive to insulin. DM has been reported to influence male reproductive function through diverse pathways and mechanisms. The adverse effects of reactive oxygen species and successive development of oxidative stress that occur due to DM have been investigated and implicated by several studies. The products of non-enzymatic glycosylation are reported to be widely distributed in the reproductive tract of diabetic men. Additionally, DM has been implicated to impair the processes of male sexual acts. Data reported in this review were extracted from PubMed, Google Scholar, Science Direct and Scopus with diabetes and male infertility as the key search words. In light of the aforementioned, the aim of this review is to provide brief background information on DM as well highlight and explain the likely mechanisms of male fertility which DM impacts.
Artificial Intelligence for Securing IoT Services in Edge Computing: A Survey

With the explosive growth of data generated by the Internet of Things (IoT) devices, the traditional cloud computing model by transferring all data to the cloud for processing has gradually failed to meet the real-time requirement of IoT services due to high network latency. Edge computing (EC) as a new computing paradigm shifts the data processing from the cloud to the edge nodes (ENs), greatly improving the Quality of Service (QoS) for those IoT applications with low-latency requirements. However, compared to other endpoint devices such as smartphones or computers, distributed ENs are more vulnerable to attacks for restricted computing resources and storage. In the context that security and privacy preservation have become urgent issues for EC, great progress in artificial intelligence (AI) opens many possible windows to address the security challenges. The powerful learning ability of AI enables the system to identify malicious attacks more accurately and efficiently. Meanwhile, to a certain extent, transferring model parameters instead of raw data avoids privacy leakage. In this paper, a comprehensive survey of the contribution of AI to the IoT security in EC is presented. First, the research status and some basic definitions are introduced. Next, the IoT service framework with EC is discussed. The survey of privacy preservation and blockchain for edge-enabled IoT services with AI is then presented. In the end, the open issues and challenges on the application of AI in IoT services based on EC are discussed.
Fangchinoline attenuates cardiac dysfunction in rats with endotoxemia via the inhibition of ERK1/2 and NF-κB p65 phosphorylation

Background Cardiac dysfunction is a complication commonly encountered by patients with endotoxemia. Fangchinoline (Fan) is a natural bisbenzylisoquinoline alkaloid. This study aimed to investigate the cardioprotective effect of Fan against lipopolysaccharide (LPS)-induced acute cardiac dysfunction. Methods Rats were administered with Baicalin (100 mg/kg) and Fan (30 or 60 mg/kg) via intraperitoneal injection (i.p.) for 3 days, followed by LPS treatment (10 mg/kg, i.p.). The rats were randomly grouped (n=10): the control group, the LPS group, the LPS + Baicalin group, the LPS + Fan groups. Echocardiography and hematoxylin and eosin (HE) staining were performed to detect cardiac dysfunction. Cardiac function were also determined by quantitative reverse transcription-polymerase chain reaction (qRT-PCR), ELISA, and western blot, respectively. The protective mechanisms of Fan were analyzed by western blot and qRT-PCR. Results LPS induced the depression of cardiac function, myocardial inflammation, and apoptosis. These changes were associated with decreased GRP78 and GADD34, increased C/EBP-homologous protein (CHOP) and cleaved caspase-12. Fan significantly reduced the release of inflammatory cytokines such as monocyte chemotactic protein-1 (MCP-1), tumor necrosis factor-α (TNF-α), interleukin (IL)-1β, IL-18, and IL-6. Furthermore, Fan treatment increased superoxide dismutase (SOD) and decreased malondialdehyde (MDA. Notably, Fan inhibited myocardial apoptosis following ER stress in the LPS-induced rat model and stimulated phosphorylation activation of ERK1/2 and NF-κB p65 proteins. Conclusions Fan deficiency alleviated LPS-induced endotoxemia in rats. Therefore, Fan may be a new therapeutic approach for the treatment of cardiac dysfunction.
Exacerbated nitrogen limitation ends transient stimulation of grassland productivity by increased precipitation

Given that plant growth is often water-limited in grasslands, it has been proposed that projected increases in precipitation could increase plant productivity and carbon sequestration. However, the existing evidence for this hypothesis comes primarily from observational studies along natural precipitation gradients or from short-term manipulative experiments. It remains unclear whether long-term increased precipitation persistently stimulates grassland productivity. In the world's largest remaining temperate grassland, we found that experimentally increased precipitation enhanced net primary production, soil-available nitrogen and foliar nitrogen concentrations during the first six years, but it ceased to do so in the following four years, unless nitrogen was simultaneously added with water. The 15N enrichment of plant and soil nitrogen pools in later years indicates increased nitrogen losses, which exacerbated nitrogen limitation and ended the stimulation of productivity by increased precipitation. Changes in species abundance might have contributed little to the changes in water treatment effects. Our study demonstrates that the long-term response of grassland ecosystems to increased precipitation will be mediated by nitrogen availability. Our results also point to a shift from co-limitation by water and nitrogen early to perhaps limitation by nitrogen only later in this temperate grassland, highlighting significant variations in the type of resource limitation induced by climate change.
Energy-Based Prognosis of the Remaining Useful Life of the Coating Segments in Hot Rolling Mill

The field of prognostic maintenance aims at predicting the remaining time for a system or component to continue being used under the desired performance. This time is usually named as Remaining Useful Life (RUL). The current study proposes a novel approach for the RUL estimation of coating segments placed on a hot rolling mill machine. A prediction method was developed, providing real-time updates of the RUL prediction during the rolling milling process. The proposed approach performs energy analysis on measurements of segment surface temperatures and hydraulic forces. It uses nonparametric statistical processes to update the predictions, within a prediction horizon/window, indicating the number of remaining products to be processed. To assess the probability of failure within the defined prediction window, Maximum Likelihood Estimation is used. The proposed methodology was implemented in a software prototype in the MATLAB environment and tested in an industrial use case coming from a steel parts manufacturer, facilitating testing and validation of the suggested approach. Real-world data were acquired from the operational machine, while the validation results support that the proposed methodology demonstrates reasonable performance and robustness against product type variations.