Miracle-dz/UniFAR-FTUs huggingface dataset:
Mapping of Dengue Fever Distribution based on Indonesian National Standard Cartography Rules as an Prevention Indicator of Outbreaks

The purpose of the study was to know the relationship of population density with DHF cases and determine the fluctuation in dengue fever cases in the Hulu Sungai Selatan Regency in 2008-2014. The population in this study was all DHF cases had recorded by the Public Health Office of Hulu Sungai Selatan Regency in 2014-2018, obtained from DHF cases data and population density data. The data were analyzed using spatial analysis with ArcGIS and linear correlation analysis. The results showed the highest average DHF cases is in Kandangan Subdistrict with 471 cases in 2014-2018. The study showed the relation betweenDHF cases with population density was DHF cases (r) is 0.891, while the Sig. (2-tailed) < 0.05, so the incidence of DHF cases is significant. Spatial analysis showed that the highest DHF cases happened in the area with a high population density. The use of Geographic Information Systems is expected to facilitate government in reduce cases of DHF in Hulu Sungai Selatan Regency. The preventions that can be made are eradication of mosquito nests, periodic larvae checks, and health education so that dengue fever cases can decrease especially in densely populated areas and special education for DHF in schools. This research also can be used as a reference for better regular preventive counseling models by health workers in communities such as government agencies, regional residents and schools.
Distribution of aboveground biomass in three pine species planted on a devastated site amended with sewage sludge or inorganic fertilizer

Five-year-old loblolly, shortleaf, and Virginia pines growing on sites initially planted with 11960 seedlings/ha on plots amended with 34,000 kg/ha of dried sewage sludge or with 896 kg/ha of 10-10-10 inorganic fertilizer and 1,417 kg/ha of CaO, were felled, separated into stem and branches plus foliage, and sampled, to determine relative amounts of wood, bark, and foliage. On plots amended with sewage sludge, Virginia pine produced significantly more total tree biomass than the other species, and shortleaf produced significantly less. Regardless of fertility treatment, less than half of the total tree biomass for shortleaf and loblolly consisted of branches, but dry weight of branches for Virginia pine was twice that of the main stem. In terms of biomass composition, trees growing on plots amended with sewage sludge averaged about 8 percent more wood as a percentage of total tree weight and proportionately less foliage than trees on plots amended with inorganic fertilizer. Regression equations based on independent variables of stem diameter at ground line and total height were developed to estimate total tree dry biomass. Estimated stand biomass was more than three times greater on the sludge plots than on fertilizer plots.
Too little, too late: A longitudinal study of English corrective focus by Mandarin speakers

This study tracks the production of English corrective focus by Mandarin speakers (MS) living in the US over a two-year period. We show that the MS differed from English speakers (ES) in the alignment of the corrective focus pitch accent: while ES productions typically showed a pitch peak on the stressed syllable, followed by an abrupt fall, the pitch rise and fall for MS was later and less steep. While the MS productions became more English-like over time in some respects, the failure to correctly align pitch accent persisted over time. We argue that this misalignment of pitch peak cannot be attributed to a lack of sensitivity to English stress, but rather represents a common failure to master the complex timing patterns involved in synchronizing pitch, intensity, and duration cues with segmental structure in a second language.
Neural network model for user request analysis during software operations and maintenance phase

This article offers a transition-based neural network model for extracting informative expressions from user request texts. The configuration and transition system that turns the process of informative expression extraction into the execution of a sequence of transitions is described. Prediction of transition sequence is done using a neural network that uses features derived from the configuration. To train and evaluate a proposed model, a corpus of annotated Android mobile application reviews from the Google Play store was created. The training procedure of the model for informative expressions extraction and selected model’s hyperparameters are described. An experiment was conducted comparing the proposed model and an alternative model based on a hybrid of convolutional and recurrent neural networks. To compare quality of these two models, the F1 score that aggregates recall and precision of extracted informative expressions was used. The experiment shows that the proposed model extracts expressions of interest better than the alternative: the F1 score for spans extraction increased by 2.9% and the F1 for link extraction increased by 36.2%. A qualitive analysis of extracted expressions indicates that the proposed model is applicable for the task of user request analysis during operation and the maintenance phase of software products.
Fluid–Structure Interaction Numerical Analysis of a Small, Urban Wind Turbine Blade

While the vast majority of the wind energy market is dominated by megawatt-size wind turbines, the increasing importance of distributed electricity generation gives way to small, personal-size installations. Due to their situation at relatively low heights and above-ground levels, they are forced to operate in a low energy-density environment, hence the important role of rotor optimization and flow studies. In addition, the small wind turbine operation close to human habitats emphasizes the need to ensure the maximum reliability of the system. The present article summarizes a case study of a small wind turbine (rated power 350 W @ 8.4 m/s) from the point of view of aerodynamic performance (efficiency, flow around blades). The structural strength analysis of the blades milled for the prototype was performed in the form of a one-way Fluid–Structure Interaction (FSI). Blade deformations and stresses were examined, showing that only minor deformations may be expected, with no significant influence on rotor aerodynamics. The study of an unorthodox material (PA66 MO polyamide) and application of FSI to examine both structural strength and blade deformation under different operating conditions are an approach rarely employed in small wind turbine design.
Hallmarks of cancer stem cells in men associated cancers: a review

Failure of conventional therapies is the root cause for the progression of the cancer. Intrinsic revelation states that Cancer metastasis is due to subclonal diversification of normal cells into subsets of stem like cells. These cells can be termed as stem cells of the cancer or cells that initiate cancer. These diversified cells can differentially activate and escape from the resistant mechanisms causes tumor heterogeneity. Because of these metastatic fuelling which is malignant, expresses its persistence towards treatment and provokes drug-resistant recurrence. Annihilation of these subsets of stem like cells in cancer tissues has now become a prime objective to develop and design novel classes of anti-cancer therapeutics to improve clinical efficacy. In this review, the properties and hallmark of different cancer stem cells that are responsible for disease recurrence and metastases which are elusive targets for present oncotherapies was presented.
A Review of Pre-Clinical Studies for the Treatment of Neonatal Brain Injury

The developing brain is especially sensitive to perturbations such as hypoxia-ischemia (HI) or surgical ablation in the perinatal period. We first review and contrast the effects perinatal HI and surgical perturbation in laboratory rats. The developing brain is also very responsive to a wide range of other experiences that can induce remarkable neural plasticity in both the normal and perinatally injured brain. We next review the factors that influence this plasticity in both the normal and perinatal injured. We consider treatments that stimulate cerebral and behavioural plasticity, especially in the motor systems. The goal is to draw attention to possible treatments that could be translated from perinatal surgical ablation to the HI model and eventually to the clinic.
Orchestra: A Customizable Split-Aware NFV Orchestrator for Dynamic Cloud Radio Access Networks

Dynamic Cloud Radio Access Networks (C-RAN) is an emerging wireless architecture that splits radio functions in a hierarchical cloud-based infrastructure. In Dynamic C-RAN, wireless functionalities can be divided into smaller components and distributed along with a hierarchical cloud infrastructure. Network Functions Virtualization (NFV) concepts have been recently investigated to facilitate management-related operations of these wireless functionalities. Despite the advances in providing flexible NFV orchestration for Virtualized Network Functions (VNF)s, there is still a lack of solutions aware of VNFs internal composition, a key characteristic of split virtualized radio functions. In this article, we advance NFV orchestration in a Dynamic C-RAN scenario presenting Orchestra, a split-aware NFVO for Dynamic C-RAN with support to customizable orchestration algorithms for different radio function splits. Orchestra is validated through instantiates and migrates VNFCs following the decisions of personalized orchestration algorithms, with a petty impact in the VNFC’s deployment and migration time.
Variation and heritability of host susceptibility to the introduced pathogen Phytophthora ramorum in tanoak (Lithocarpus densiflorus, proposed name Notholithocarpus densiflorus) populations

This dissertation presents a body of work collected from the very beginning of the outbreak of the introduced forest pathogen Phytophthora ramorum . The first data were collected the same year that P. ramorum was identified as the causal pathogen of the disease in California. The research, aimed at gathering the scientific knowledge necessary for an understanding and informed response to a new problem, placed an emphasis on bridging evolutionary ecological theory and management practice. First, my colleagues and I outline two quantitative polymerase chain reaction (qPCR) diagnostic assays for P. ramorum and their use as part of a widespread survey screening California plants for the pathogen. In Chapter 3, my colleagues and I report the first surveys of variation in susceptibility to P. ramorum on detached leaves of field-collected tanoak trees. We found low but non-zero heritability of susceptibility, and that the structure of phenotypic variation in this measure of susceptibility echoed that of neutral genetic markers. Finally, I describe the establishment of a greenhouse common garden population of tanoak seedlings concurrently with a field test garden in an infested natural area. Using these study populations, we calculated the heritability of susceptibility in detached leaves with much greater precision, and expanded the assay techniques and types of host resistance we measured. In so doing we discovered highly variable responses of seedling families to intact-seedling tip inoculations, the majority of which variation was due to genetic factors. With the qPCR detection techniques described in Chapter 2, we confirmed seedlings' infection within the first 7 months of the field test garden's establishment, with disease incidence rising over the course of the study. We found that both P. ramorum infection status and family origin have significant effects on tanoak survival in natural disease conditions. Together with the laboratory assays, our findings show that tanoak does possess some forms of genetic resistance to P. ramorum . The gardens we established provide the infrastructure necessary to determine if this resistance affects survival under natural conditions, to further investigate its inheritance and action, and to test the effect of varying environment and host genotype on its expression.
Data Handling & Drug Traceability: Blockchain Meets Healthcare To Combat Counterfeit Drugs.

: Blockchain was initially invented for achieving secured digital money transactions but the technology has now started accommodating popularity in various other fields also such as tourism, real-estate, voting, stock-market, supply chain Handling etc. Blockchain technology is garnering ultimate buildup in the healthcare sector. Healthcare industry consists of rapidly growing sensitive data which need to be preserved from confidentiality threats and integrity threats. Out of the numerous applications of blockchain in healthcare, the two extremely prominent applications are– data handling and drug traceability. In this paper, we have discussed the problems with traditional methods of data handling and drug traceability and how blockchain overcomes those problems. Moreover, we have proposed a system which is capable of tracing drugs in the supply chain and reduce counterfeiting of drugs. Some projects and applications working in the direction of drug traceability and data handling such as Blockverify, Mediledger, MedRec, MedicalChain etc. are also discussed.
The Role Of Interleukin 7 Receptor Alpha (Il7ra) Rs6897932 Gene Polymorphism In The Development Of Breast Cancer Among Women In Kerala Population, South India.

Interleukin-7 (IL-7) has always been found to play a significant role in the development of lymphoid cell as well as in its maintenance. In breast cancer (BC) subjects, through the activation of JAK1/3-STAT5 and PI3K/AKT pathways, IL-7 promotes the growth of tumor cells. The current study aims to find the possible association of IL7RA (rs6897932) polymorphism with the susceptibility of BC among the diverse population of Kerala, South India. A case-control study was conducted at two health care centers in Kerala, South India involving 112 breast cancer patients (females) and 112 healthy controls (females). Genetic analysis was performed to detect IL7RA (rs6897932) polymorphism e employing polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Odds ratio (OR) with 95% class interval (CI) were used to evaluate the relationship of IL7RA (rs6897932) polymorphism with BC susceptibility. Statistical analysis was performed using Statistical Package for the Social Sciences (SPSS; version 21.0) software and Medcalc software (version 16.4.3). The frequency distribution of IL7RA (rs6897932) polymorphism was found to be different between case and control groups significantly indicating IL7RA gene could play an important role in the pathogenesis of BC among South Indian population. The rs6897932 homozygous mutant CC genotype (OR=3.04; 95% CI =1.46-6.32; p=0.002), as well as the C allele (OR= 2.59; 95% CI =1.43-4.70; p=0.001), was found to increase the risk of BC among the studied South Indian (Kerala) subjects. The present study provided evidence regarding the role of IL7RA (rs6897932) polymorphism in the development of breast cancer among the South Indian population (Kerala) and that IL7RA gene may play distinct roles in breast carcinogenesis. The present study results need to be validated by further advanced and prospective studies involving larger sample sizes.
Do Consumers Need More Protection from Small‐Dollar Lenders? Historical Evidence and a Roadmap for Future Research

We summarize the current debate surrounding four small‐dollar credit products: pawn loans, vehicle title loans, payday loans, and cash installment loans from finance companies. We review the contributions of scholars that inform this debate. We underscore that users of these products fit the description of those whom consumer credit models predict benefit from these products. Many studies find that, on average, consumer use of small‐dollar credit products is, at worst, innocuous. There are, however, findings of heterogeneity in borrowers' experiences. The disagreements surrounding these credit products and the difficulty in crafting the proper policy response stems from this heterogeneity. (JEL D18, G23)
Independent and reproducible hippocampal radiomic biomarkers for multisite Alzheimer's disease: diagnosis, longitudinal progress and biological basis.

Hippocampal morphological change is one of the main hallmarks of Alzheimer's disease (AD). However, whether hippocampal radiomic features are robust as predictors of progression from mild cognitive impairment (MCI) to AD dementia and whether these features provide any neurobiological foundation remains unclear. The primary aim of this study was to verify whether hippocampal radiomic features can serve as robust magnetic resonance imaging (MRI) markers for AD. Multivariate classifier-based support vector machine (SVM) analysis provided individual-level predictions for distinguishing AD patients (n = 261) from normal controls (NCs; n = 231) with an accuracy of 88.21% and intersite cross-validation. Further analyses of a large, independent the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset (n = 1228) reinforced these findings. In MCI groups, a systemic analysis demonstrated that the identified features were significantly associated with clinical features (e.g., apolipoprotein E (APOE) genotype, polygenic risk scores, cerebrospinal fluid (CSF) Aβ, CSF Tau), and longitudinal changes in cognition ability; more importantly, the radiomic features had a consistently altered pattern with changes in the MMSE scores over 5 years of follow-up. These comprehensive results suggest that hippocampal radiomic features can serve as robust biomarkers for clinical application in AD/MCI, and further provide evidence for predicting whether an MCI subject would convert to AD based on the radiomics of the hippocampus. The results of this study are expected to have a substantial impact on the early diagnosis of AD/MCI.
Angkasa Pura II Strategy to Improve Airport Business and Service Level Performance in the Airport Digital Transformation Era

This paper explores organizational ambidexterity implementation in Angkasa Pura II as one of the business transformation strategies. A transformative organization must be able to explore new business as well as exploit existing business portfolios. The exploration is achieved by an existing business while the exploitation is generated by an airport-adjacent business portfolio through an ad hoc business project team establishment. This paper also explains several portfolios/products produced by this business project to improved corporate business and service level performances.
Design and Optimization of a Novel Axial-Radial Flux Permanent Magnet Machine

This paper proposes a novel axial-radial flux permanent magnet machine (ARFPMM). The design and optimization process for higher torque density and lower cogging torque are presented. T-type SMC core, axial rotor, and radial rotor are applied to support axial-radial flux path and make full use of the space. The structure and operation principle of ARFPMM are introduced. To improve the power density, different types of radial rotor are analyzed by finite element method (FEM) and the optimal PM radial rotor is determined. To reduce the cogging torque, bidirectional PM skewing technique is applied. The optimal combination of skewing angle and position angle is derived. The comparison between the initial and revised model shows the effectiveness of the PM radial rotor and the bidirectional PM skewing technique in the ARFPMM. Compared with the conventional axial flux permanent magnet machine, the proposed ARFPMM shows advantages in average torque and space utilization.
Methodology of an Accurate Static I–V Characterization of Power Semiconductor Devices

Static <inline-formula> <tex-math notation="LaTeX">$I$ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">$V$ </tex-math></inline-formula> characterization (SIVC) is extensively used by the researchers for evaluating the ON-state performance and real-time condition monitoring of the power semiconductor devices. The implementation of the existing SIVC setups is difficult in the laboratories, due to their high cost, complex operation, and error arising in different parts of the setup. Though some of the commercial products offer good performance, their availability is limited due to the high cost. In this article, an accurate, simple and low-cost SIVC setup is suggested. The SIVC setup consists of a single-pulse test circuit (SPTC), an electrical measurement unit (EMU), and a data acquisition system (DAS). All three stages are discussed and the methods to improve measurement accuracy at each stage are discussed in this article. The key contributions of this article are simultaneous SIVC of multiple device under tests (DUTs), error analysis of EMU due to manufacturing differences in components and their temperature difference, method for selection of sample size for accurate digital acquisition of analog signal in DAS, and <inline-formula> <tex-math notation="LaTeX">$dV/dI$ </tex-math></inline-formula> condition for an accurate SIVC. The presented methodology is implemented on the experimental setup of SIVC that is developed in the laboratory. EMU of the proposed setup operates at the voltage and current measurement accuracy of ±0.05% and ±0.1%, respectively, and DAS with the voltage accuracy of ±0.1%, thereby offering good performance for SIVC. Furthermore, to validate the performance of the proposed SIVC setup, its results are compared with the commercially available Keysight curve tracer (B1505A). The results for the characterization of an IGBT and a power MOSFET are included.
An Empirical Study on Acoustic Feedback Path Across Hearing Aid Users

Acoustic feedback is one of the major problems in hearing aid applications. During a fitting session of a modern hearing aid, typically a feedback path prediction or an in situ measurement of feedback path is used as part of the gain and earpiece prescription to minimize the risk of feedback problems. It is well known that there are a lot of variations in feedback paths across users due to ear differences, however, there is limited knowledge from published studies to actually quantify these variations, especially for the earpiece types as domes and micro molds which became popular since the introduction of receiver-in-the-ear (RITE) style hearing aids. In this empirical study, we measured feedback paths on different users wearing a RITE style hearing aid fitted with different domes and micro molds. Our results confirmed that there are large variations across users/ears, and magnitude differences in measured feedback paths can be more than 60 dB for otherwise identical hearing aid and earpiece type.
The complete chloroplast genome of a well-known medicinal herb, Senna tora

Abstract Senna tora has been used as a famous traditional medicine both in China and India to treat skin diseases, cough, hepatitis, fever, and hemorrhoids. Here, the complete chloroplast (cp) genome sequence of S. tora was reported and characterized for the first time. The cp genome is 162,426 bp in length, with a large single copy (LSC) region of 90,673 bp and a small single copy (SSC) region of 18,001 bp separated by a pair of 26,791 bp inverted repeat (IR) regions. There were 130 predicted genes including 85 protein-coding genes, 37 tRNA genes, and eight rRNA genes in the genome, and the overall GC content of the genome is 36%. The phylogenetic analysis based on the cp genome data indicated that S. tora was closer to S. occidentalis.