Miracle-dz/UniFAR-FTUs huggingface dataset:
Advances in perinatal medicine and neonatal intensive care have increased the survival rate of premature infants, and the incidence of respiratory distress syndrome (RDS) and bronchopulmonary dysplasia (BPD). A total of 80,000 cases

Deficiency of surfactant proteins (SPs) is the main cause of respiratory distress syndrome (RDS) and chronic lung diseases. Our previous study demonstrated that miR‐431 was differentially expressed between infants with RDS and infants without RDS using microarray analysis. However, the potential role of miR‐431 in the development of lung function is still unknown. In the present study, the morphological characteristics of lung tissues and the expression levels of miR‐431 were examined at three time points of rat lung development [gestational days 19 and 21 (E19, and E21) and postnatal day (P3)]. The protein and mRNA levels of SMAD4 and SPs (SP‐A, SP‐B, SP‐C and SP‐D) were also validated by reverse transcription‐quantitative polymerase chain reaction (RT‐qPCR) and western blot analysis, respectively. The expression levels of miR‐431 were gradually decreased over time periods of E19, E21 and P3, as determine using RT‐qPCR and fluorescence in situ hybridization. Dual luciferase‐reporter assays revealed that SMAD4 is a direct target of miR‐431. The mRNA and protein expression levels of SMAD4 and SPs increased gradually in rat lung tissues from E19 to P3. The order of magnitude was as follows: E19, E21 and P3. The present study demonstrated that the expression level of miR‐431 decreased in the order of E19, E21 and P3 during rat lung development. The target gene of miR‐431, SMAD4, was negatively regulated by miR‐431, and its expression levels in the rat lung tissue increased from E19 to the P3. Surfactant synthesis was further increased over the E19 to P3 time period. Further studies are required to determine how miR‐431 regulates pulmonary surfactant synthesis by targeting SMAD4.
Isolation of 22 new Haliaeetus microsatellite loci and their characterization in the critically endangered Madagascar fish-eagle (Haliaeetus vociferoides) and three other Haliaeetus eagle species

We isolated a total of 22 microsatellite loci from two Haliaeetus species: the Madagascar fish-eagle (Haliaeetus vociferoides) and the bald eagle (Haliaeetus leucocephalus). Five loci were monomorphic in both the Madagascar fish-eagle (n = 24–43) and the bald eagle (n = 2–8) but were found to be polymorphic in other Haliaeetus species. Haliaeetus loci have proved useful for investigating gene flow in Haliaeetus and Aquila eagles. Ten loci were polymorphic in the critically endangered Madagascar fish-eagle and will be used to investigate the genetic population structure and mating system in this species.
DUAL-FEED, DIPOLE ANTENNA SYSTEM FOR 2.4/5.2/5.8-GHZ, TRI-BAND WLAN LAPTOP APPLICATIONS

—A low-proﬁle, printed dipole antenna having two feed ports with two parasitic strips for tri-band operation in the 2.4 GHz (2400–2484 MHz), 5.2 GHz (5150–5350 MHz), and 5.8 GHz (5725– 5825 MHz) wireless local area network (WLAN) bands is presented. The strip dipole is coupled-fed via a chip capacitor connected to a dual-feed network and generates the 2.4 and 5.2 GHz bands with the aid of the tuning stubs in the feed network. The two parasitic strips are further employed to introduce additional resonance to cover the 5.8 GHz band. It was found that by loading the chip capacitor with proper values between the strip dipole and the dual-feed network, the port decoupling in both the 2.4 and 5.2 GHz bands can be improved, making a dual-feed and yet single antenna system possible. The design with constant strip width is simple in structure and occupies a compact size of 5 mm × 40 mm (about 0.04-λ × 0 . 32-λ at 2.4 GHz), which is well-suited to current narrow-bezel laptop computers.
Prevalence of Malnutrition among Hospitalised Adult Cancer Patients at the National Cancer Institute, Putrajaya, Malaysia

Introduction: Malnutrition in cancer patients affects the quality of life (QoL) of the patients and brings about adverse outcomes including morbidity and mortality. This study aims to determine the prevalence of malnutrition among cancer patients at the National Cancer Institute (NCI), Putrajaya. Methods: A cross-sectional study was conducted among 97 respondents who were admitted to the NCI between August 2014 and January 2015. Information on socio-demographic characteristics, clinical characteristics, anthropometric measurements, dietary intake and biochemical data were obtained. The Malnutrition Screening Tool (MST) was used to identify malnutrition risk, while the Subjective Global Assessment (SGA) determined patients’ nutritional status. Results: Approximately 61.9% and 43.5% of the patients were malnourished upon admission based on the MST and SGA scores, respectively. Four most common types of cancer among the malnourished patients were nasopharyngeal (NPC), lung, breast and colorectal cancer. About 56.9% and 21.6% of the malnourished patients, according to MST, were at Stage 4 and Stage 3 cancer, respectively. Meanwhile 69.7% of the malnourished respondents, based on SGA, were at Stage 4 cancer. Mean energy intake was 1463±577 kcal and protein intake was 54±22 g proteins. Conclusion: Prevalence of malnutrition in hospitalised cancer patients in the NCI was high, depending on age, body mass index (BMI), tumour location and cancer stage. Early identification of malnutrition status is required for proper nutritional intervention.
Future appeal of comparative studies on putative binding sites of HIV-1 virus-encoded proteolytic enzyme inhibitor of different Food and Drug Administration-approved compounds

Introduction: Human immunodeficiency virus (HIV) protease enzyme is one of the most promising therapeutic targets for acquired immunodeficiency syndrome (AIDS) treatment. Due to mutation of the virus, there is always a room for new agents. Material and methods: The aim of in silico molecular docking study was to analyze and compare the binding mode of seven Food and Drug Administration (FDA)-approved HIV protease enzyme inhibitors, and to understand their structural requirements to inhibit an enzyme by using Schrodinger model as well as to evaluate a free energy of binding of these inhibitors with an enzyme. Results: The binding mode analysis showed that the active site was present at the interface of two chains A and B of the enzyme and the crucial amino acid remained responsible for the binding of inhibitors to the HIV-1 protease, which could help to classify the inhibitors as better drug targets. Results of this comparative binding mode analysis of seven FDA-approved drugs could be potential and useful for designing of a new effective inhibitor of HIV-1 protease. Out of seven inhibitors drugs, only two drugs present the best inhibition. HIV protease-nelfinavir complex with PDB: 2Q64 and HIV protease D30N, and R41A double mutant-tipranavir complex in PDB: 1D4S double mutant V82F and I84V, were used as templates for applying the mutations on HIV protease active site. Furthermore, the structure-based computer-assisted search for the comparison of the two inhibitors of HIV protease was completed. On the other hand, tipranavir seems to be a broad specificity inhibitor, as no changes in the bond lengths with the introduction of mutations were observed. Conclusions: Tipranavir could be targeted more effectively for designing future drug analogues, as it is less vulnerable to mutations. HIV mutants reported in this study could also be used for preliminary identification of specific inhibitors, as drugs that may alter the HIV protease activity for medicinal use. HIV AIDS Rev 2020; 19, 2: 78-86 DOI: https://doi.org/10.5114/hivar.2020. 96402
Efﬁcient Transaction Processing in Byzantine Fault Tolerant Environments

The overarching goal of any state-of-the-art blockchain application [5] is ensuring the integrity of the client transactions. A blockchain in its simplest form is a linked-list , which helps to maintain a stable and reliable storage of client trans-actions. Blockchain has acted as a resolve to challenges in food production [7], energy trading [21], managing health care [4, 9, 16], and insurance fraud prevention [14]. The key reasons behind widespread interest in blockchain systems are their fundamental characteristics: transparency, integrity and decentralization. A blockchain supports transparency and decentralization, by employing the core database principle of replication . Each blockchain is maintained by several replicas. These replicas need to reach an agreement on the order of client transactions, which is resolved by employing a consensus protocol. Thus, at the core of any blockchain system is its underlying consensus protocol. Intial blockchain applications, such as Bitcoin [24] and Ethereum [25] encourage a permissionless setting through the use the Proof-of-Work [10, 15] (PoW) protocol to attain consensus. PoW requires each replica to spend its resources in ﬁnding a solution for some hard cryptographic puzzle, which acts as a proof that the replica has generated the next block. Hence all the replias reach a consensus when at least one replica transmits its proof to the majority of replicas. However, PoW protocol can lead to the case where multiple replicas can claim to have generated the proof, which could create a fork in the blockchain. Further, these permissionless protocols need to provide replicas with ﬁnancial incentives to maximize non-malicious participation. These requirements necessitated the design of permissioned systems [1, 10], which build on top of the proven consensus protocols as the identities of the replicas are known apriori
Classification of Vocal Fold Diseases Using RASTA-PLP

-Various techniques of speech/speaker recognition has implemented in voice pathology assessment systems in the last decade. Classification of the vocal fold disorders is a difficult task as compares to disorder detection. In this paper, RASTA-PLP (Relative Spectral Transform Perceptual Linear Predictive) is deployed for the classification of four different types of vocal fold disorders. Sixty five dysphonic patients, containing male and female, of cyst, GERD, Polyp, and sulcus are taken into account. The diseases are classified by use of multi-class SVM. The results obtained are very encouraging. It is found that 100% classification rate can be achieved by choosing the suitable word for each disease.
Planting dates and plant densities influence on morpho-physiological responses, forage productivity and nutritive value of clitoria in an arid region

Clitoria (Clitoria ternatea L.) is a perennial multi-purpose legume plant could provide high-value forage for livestock in the arid regions such as Egypt. There is little knowledge concerning the potential of forage clitoria as an arable crop in such climates. A 2year field experiment (2015/2016) was carried out to investigate the influence of two planting dates on May 20 as early (PE) and June 20 as late (PL) combined with three plant densities (33.33=D10, 22.22=D15, and 16.66=D20 plants m)on clitoria’s morphoRESEARCH VOL. 5, 2019 Agriculture ISSN 2347–3819 EISSN 2347–386X DISCOVERY
Progress in Detector Development for the All-sky X-ray & Gamma-ray Astronomy Monitor (AXGAM)

We are developing high resolution pixel detectors for the Allsky X-ray & Gamma-ray Astronomy Monitor (AXGAM) (Figure 1), an instrument combining Silicon (Si) and Cadmium Zinc Telluride (CdZnTe) pixel detectors with coded masks, to image the sky with arcminute accuracy in the 0.5 200 keV range (Tümer et al., 1997a-c; and Sushkov et al., 1999). AXGAM’s wide field of view makes it well adapted to the study and monitoring of variable point sources and rapid transients such as gamma-ray bursts (GRBs) and soft gamma repeaters. Its large spectral range (3 decades), and exceptional energy and angular resolution will be important for monitoring the x-ray and gamma ray sky simultaneously. We envision AXGAM as being flown as a SMEX or a MIDEX mission to carry out an x-ray and gamma-ray full-sky survey, and to serve as an x-ray and gamma-ray monitor for future narrow field of view x-ray instruments such as Chandra. AXGAM will complement narrow-field, high-sensitivity instruments by providing notification of unusual source activity, and establishing the long-term context needed to interpret short-term, high-sensitivity observations.
CYTO AND GENOTOXIC EVALUATION OF THE AQUEOUS EXTRACT FROM Psacalium peltatum (MATARIQUE) IN HUMAN LYMPHOCYTE CULTURES

Summary It has been demonstrated experimentally that the aqueous extract from “matarique”, P. peltatum, diminishes the glucose concentration in rat blood and also that it is cytotoxic to prostate cancer cells in vitro. In order to determine the cytotoxicity and genotoxicity of this extract on normal cells, human lymphocyte cultures were exposed to different concentrations of that extract for 48 h. Results showed that the mitotic index (MI) increased in a significant manner at the extract concentration of 10 µg/ ml but it did not act as a mitogenic agent. Its possible effect might be on Phtytohemaglutinin, the mitogenic added to stimulate lymphocyte proliferation. The extract was cytotoxic at 100 µg/ ml since the MI decreased significantly. The kinetic proliferation remained unaltered as well as the chromosome diploid number and structure. Although the proportion of cells with DNA damage and the DNA migration length significantly increased from concentration 10 µg/ ml, the highest value registered fall into the minimum damage range. Thus, we concluded that the aqueous extract from P. peltatum is partially cytotoxic and genotoxic.
Handling Advice in MDPs for Semi-Autonomous Systems

This paper proposes an effective new model for decision making in situations where full autonomy is not feasible due to inability to fully model and reason about the domain. To overcome this limitation, we consider a human operator who can supervise the system and guide its operation by providing high level advice. We deﬁne a rich representation for advice and describe an effective algorithm for generating a new policy that conforms to the given advice. Advice is designed to improve the efﬁciency and safety of the system by imposing constraints on state visitation (either encouraging or discouraging the system to visit certain states). Coupled with the standard reward maximization criterion for MDPs, advice poses a complex multi-criteria decision problem. We present and analyze an effective algorithm for optimizing the policy in the presence of advice.
Sequencing and Analysis of Centromere Protein B in Wallaby and the Rapid Evolution of the Centromere

The centromere is a region of tightly packed heterochromatin that acts as the anchoring site of the kinetochore protein complex in eukaryotes. This complex is composed of a wide variety of centromere proteins known as CENPs and is responsible for proper segregation of chromosomes in cell division. This essential function of the centromere is highly conserved in eukaryotes, but paradoxically the DNA content of the centromere is not. In relatively short evolutionary time, accumulating changes in DNA and the associated proteins at the centromere could be enough to create a speciation barrier and drive evolution through a process known as “centromere drive”. We aimed to examine the effects rapid changes in centromeric DNA have on the protein-coding sequence of closely associated CENPs of the kinetochore. This portion of the project focuses on CENP-B, an inner kinetochore protein that binds to a 17-bp recognition sequence in the centromeric DNA known as the CENP-B box whose function is still somewhat of a mystery. Through a combination of RNA-seq data analysis and Sanger sequencing, the complete cDNA and corresponding amino acid sequences of CENP-B were determined for eight species of marsupials (family Macropodidae) known to have highly divergent centromeres. These sequences were aligned and compared to each other and other mammalian CENP-B sequences in order to delineate the degree of divergence amongst species. Initial analysis reveals many amino acid changes within the Macropodidae, particularly in Macropus rufogriseus (red-necked wallaby). These data were also used to generate phylogenies, perform positive selection analysis, and make inferences about the
Study on the Evaluation Method of Subgrade Slope Green Protection Effect in Dry-Hot Valley of Sichuan-Tibet Railway

In view of the harsh environment in the dry-hot valley of Sichuan-Tibet railway and the important role of the green protection of the subgrade slope in railway construction and ecological restoration, this paper evaluates the effect of the green protection of the subgrade slope in dry-hot valleys of the Sichuan-Tibet railway. First, an evaluation index system for the green protection effect of railway subgrade slopes is established in terms of the soil matrix quality, vegetation community quality, and protection performance of the slopes. Second, game theory is adopted to combine the improved-group-analytic-hierarchy-process method and the vector-angle-cosine method and thus determine the weight of each evaluation index. Moreover, the membership-cloud-gravity-center method is used to evaluate the green protection level of the railway subgrade slope, and an evaluation cloud map is drawn with the help of MATLAB software to further analyze the evaluation. Finally, a section subgrade slope of the DHV area of the Sichuan-Tibet railway is selected as the evaluation object, and the green protection effect is evaluated to verify the applicability and effectiveness of the model. The study provides a theoretical basis for the protection of subgrade slopes and ecological restoration in the DHV area.
Effects of Yellowstripe Scad vs Salmon Intake Intervention among Overweight Malaysian Adults

Introduction: This is a preliminary result of an on-going randomised cross-over trial to compare the effects of consuming yellowstripe scad (YSS) and salmon, both rich in omega-3 fatty acids, on lipid profile, fasting glucose, body weight status, and blood pressure among healthy overweight adults. Methods: Fifty healthy overweight Malaysians aged 21-55 years were recruited voluntarily through advertisements. During the first period of intervention, subjects were randomised equally to receive eight weeks of either steamed whole YSS fish (YSS group) or salmon fillet (salmon group), three days per week, obtaining approximately 7000 mg EPA+DHA per week. The diets were switched after an eight-week washout period. Lipid profile, fasting glucose, body mass index, and blood pressure were evaluated before and after each intervention period. Results: The mean ages of YSS group (n=25) and salmon (n=25) group were 30.6±9.1 and 27.9±7.1 years respectively. Both groups had no statistically significant differences on socio-demographic characteristics (p>0.05). After the first intervention period, there was a significant increase in total cholesterol within the YSS group (p<0.05) but not within the salmon group (p>0.05). Both YSS and salmon groups had significantly higher HDL-cholesterol levels after 8 weeks compared to baseline (p<0.05). There was no significant between-group difference in all the variables after eight weeks (time x group interaction, p>0.05). However, there was a significant effect of time on diastolic blood pressure (p<0.05). Conclusion: These preliminary findings indicate that YSS and salmon may have similar beneficial effects on HDL-cholesterol level among healthy overweight adults. The second intervention period is on-going to confirm these findings.
SYZ mirror symmetry

Strominger-Yau-Zaslow (SYZ) [27] proposed that mirror symmetry can be understood in terms of duality of special Lagrangian torus fibrations. Namely, the mirror manifold can be constructed by taking fiberwise torus dual of the original manifold, and homological mirror symmetry can be understood by a real version of Fourier-Mukai transform. Fukaya [15] proposed that the mirror transform can be realized by family Lagrangian Floer theory of fibers of the SYZ fibration, which was further studied by Tu [28, 29] and Abouzaid [1, 2]. The SYZ program has led to a series of breakthroughs in geometric understanding of mirror symmetry. Based on Kontsevich-Soibelman’s theory of wall-crossing [19], Gross-Siebert developed a general reconstruction program of mirror geometries using toric degenerations [18]. Auroux [4], Chan-Lau-Leung [8] and Abouzaid-Auroux-Katzarkov [3] realized the SYZ construction using symplecto-geometric methods and computed SYZ mirrors explicitly for local Calabi-Yau geometries. Moreover, Fukaya-Oh-Ohta-Ono [16] reconstructed the mirrors of toric manifolds based on the work of Cho-Oh [13] and proved close-string mirror symmetry for their geometrically constructed mirrors. Furthermore Aganagic-Vafa [5] proposed a generalized SYZ construction of mirror conifolds which uses non-compact Lagrangians constructed from knots in place of torus fibrations. Motivated from this and the works of Seidel [22, 23] and Sheridan [24, 25] on homological mirror symmetry, Cho-Hong-Lau [11, 12] developed a generalized SYZ program using Lagrangian immersions in place of torus fibrations.
Bird Swarm Optimization-based Stacked Autoencoder Deep Learning for Umpire Detection and Classification

One of the most watched and a played sport is cricket, especially in South Asian countries. In cricket, umpire has the power for making significant decisions about events in the field. With the growing increase of the utilization of technology in sports, this paper presents the umpire detection and classification by proposing an optimization algorithm. The overall procedure of the proposed approach involves three steps, like segmentation, feature extraction, and the classification. At first, the video frames are extracted from input cricket video, and the segmentation is performed based on Viola-Jones algorithm. Once the segmentation is done, the feature extraction is carried out using Histogram of Oriented Gradients (HOG), and Fuzzy Local Gradient Patterns (Fuzzy LGP). Finally, the extracted features are given to the classification step. Here, the classification is done using the proposed Bird Swarm Optimization-based stacked auto encoder deep learning classifier (BSO-Stacked Autoencoders), that categories into umpire or others. The performance of the umpire detection and classification based on BSO-Stacked Autoencoders is evaluated based on sensitivity, specificity, and accuracy. The proposed BSO-Stacked Autoencoder method achieves the maximal accuracy of 96.562%, the maximal sensitivity of 91.884%, and the maximal specificity of 99%, that indicates its superiority.
Peptide-Independent Folding and CD8αα Binding by the Nonclassical Class I Molecule, Thymic Leukemia Antigen1

The nonclassical class I molecule, thymic leukemia (TL), has been shown to be expressed on intestinal epithelial cells and to interact with CD8+ intraepithelial T lymphocytes. We generated recombinant soluble TL (T18d) H chains in bacteria as inclusion bodies and refolded them with β2-microglobulin in the presence or absence of a random peptide library. Using a mAb, HD168, that recognizes a conformational epitope on native TL molecules, we observed that protein folds efficiently in the absence of peptide. Circular dichroism analysis demonstrated that TL molecules have structural features similar to classical class I molecules. Moreover, thermal denaturation experiments indicated that the melting temperature for peptide-free TL is similar to values reported previously for conventional class I-peptide complexes. Our results also show that CD8αα binding is not dependent on either TL-associated peptide or TL glycosylation.