Miracle-dz/UniFAR-FTUs huggingface dataset:
Ensemble machine learning for personalized antihypertensive treatment

Due to its prevalence and association with cardiovascular diseases and premature death, hypertension is a major public health challenge. Proper prevention and management measures are needed to effectively reduce the pervasiveness of the condition. Current clinical guidelines for hypertension provide physicians with general suggestions for first‐line pharmacologic treatment, but do not consider patient‐specific characteristics. In this study, longitudinal electronic health record data are utilized to develop personalized predictions and prescription recommendations for hypertensive patients. We demonstrate that both binary classification and regression algorithms can be used to accurately predict a patient's future hypertensive status. We then present a prescriptive framework to determine the optimal antihypertensive treatment for a patient using their individual characteristics and clinical condition. Given the observational nature of the data, we address potential confounding through generalized propensity score evaluation and optimal matching. For patients for whom the algorithm recommendation differs from the standard of care, we demonstrate an approximate 15.87% decrease in next blood pressure score based on the predicted outcome under the recommended treatment. An interactive dashboard has been developed to be used by physicians as a clinical support tool.
Detection of Fake Access Point in Wireless LAN Network

: With the fast increase in demand of the wireless LAN system over the cable system, a lot of network security threats have come into light. One of leading threat among these is Rogue access point (RAP) which if not considered and detected, can leak important and confidential information of the user. Most dangerous attack with this rogue access point is session hijacking which consists of exploitation of web session. Due to which a lot of stress is given on the detection and prevention of these fake networks. In this paper, we propose a sensor node and heartbeat monitoring methodology for the detection as well as prevention of these fake access points. Sensor Node technology works to detect and eliminate fake access points to prevent session hijacking and heartbeat monitoring further works to detect MAC address spoofing of the legitimate access point. We implemented our methodology by simulating it in Matlab tool and validate our results regarding detection and prevention of fake access points.
3D Object Detection using Tangent Convolutions

Object detection is one of the classic computer vision tasks. It requires localizing individual objects in visual data and determining their type. State of the art methods for 2D object detection use convolutional neural networks (CNNs), which can be efficiently applied to a dense grid of information, like images. In contrast to images, applying CNNs to 3D data is not straightforward because 3D grid convolution is inefficient for large scenes. In this work we build an object detection framework for 3D point clouds. It is based on Tangent Convolutions and follows the Faster R-CNN architecture. Tangent Convolutions efficiently implement a CNN for analyzing 3D point clouds, by convolving local approximations of a 3D structure with a 2D kernel. Our object detector is efficient and scales to large scenes with hundreds of thousands of points, due to the use of tangent convolutions. We evaluate our method on two indoor datasets: ScanNet and Stanford Large-Scale 3D Indoor Spaces Dataset (S3DIS). The proposed method is generic and can be applied to both indoor datasets without any changes. Experimental results show that our object detector is able to detect objects of various sizes and shapes, ranging from a small sink to a large couch. A comparison of our ScanNet benchmark score to other groups on the leader board shows that our method is competitive with other approaches.
Design of launch pad for mitigating acoustic loads on launch vehicle at liftoff

At liftoff, launch vehicles are subject to harmful acoustic loads due to the intense acoustic waves generated by propulsion systems. Because these waves can cause electronic and mechanical components of launch vehicles and payloads to fail, predicting and mitigating acoustic loads is an important design issue. This article presents the latest information about the generation of acoustic waves and the acoustic design methods applicable to the launch pad. The development of the Japanese Epsilon solid launcher is given as an example of the new methodology for launch pad design. Computational fluid dynamics together with 1/42 scale model testing were performed for this development. Effectiveness of the launch pad design to reduce acoustic loads was confirmed by the post-flight analysis.
Therapeutic and Residual Efficacy of a Pour-On Formulation of Novaluron against Rhipicephalus (Boophilus) microplus (Acari: Ixodidae) on Infested Cattle

Abstract The effectiveness of a pour-on formulation of novaluron (Novatack Pour-on 5% Al, Clarion Biociencias LTDA, Goiania, Brazil), a benzoylphenyl urea acaricide, was evaluated by applying a low and high concentrations (1 mg/20 kg body weight and 1 mg/10 kg body weight) to cattle infested with all parasitic developmental stages (adults, nymphs, and larvae) of Rhipicephalus (Boophilus) microplus (Canestrini). The therapeutic percentage reduction in the number of females that reached repletion following treatment was 24.8 and 24.6% for the low and high rates, respectively. No difference in the weight of engorged females recovered from treated calves or in the index of fecundity (IF) was observed for either rate in comparison with the untreated control, and no significant difference in the overall therapeutic level of control was observed between the low and the high rates. Results obtained from the analysis of persistent (residual) efficacy of both rates showed no significant differences between the treatments at weekly intervals; however, the percent control of the IF observed against larvae infested 1 and 2 wks after treatment of both rates was moderate indicating that novaluron appears to be more effective against larvae that come into contact with cattle after treatment than against adults or nymphs already infesting the animal at the time of treatment.
Optimization of Protease and Amylase Activities Derived from Soy Sauce Koji

The present study was aimed to determine the optimal fermentation conditions for the koji production and to evaluate the influences of temperature, pH, and brine concentration on the enzyme activity and stability of protease and amylase. The experiments were conducted by inoculating the different ratios of soybean to wheat with the spores of Aspergillus oryzae. The ratios of soybean to wheat were 2:1 and 1:1 in Chinese-type (BA1) and Japanese-type (BA2), respectively. The optimum time of koji-making for both BA1 and BA2 was found at 60 h fermentation. No remarkable difference of enzymatic characteristic was observed between BA1 and BA2, with the exception that BA1 exhibited the higher activities of both protease and amylase than those in BA2. The protease released from A. oryzae was most active and stable in the pH range 7.0-7.7 (neutral protease). The optimum temperature for protease activity was 52-55°C, and the enzyme was stable at around 40°C. Oppositely, the acidic region, pH 5, was preferred to amylase activity and stability. The amylase, which was most active at 60°C and stable at around 48°C, was more tolerant to heat and salt as compared to the protease.
: A Programmable Processor-in-Memory

9 Abstract— Memory access latencies and low data transfer bandwidth limit the 10 processing speed of many data intensive applications such as Convolutional 11 Neural Networks (CNNs) in conventional Von Neumann architectures. Processing 12 in Memory (PIM) is envisioned as a potential hardware solution for such 13 applications as the data access bottlenecks can be avoided in PIM by performing 14 computations within the memory die. However, PIM realizations with logic-based 15 complex processing units within the memory present complicated fabrication 16 challenges. In this letter, we propose to leverage the existing memory 17 infrastructure to implement a programmable PIM (pPIM), a novel Look-Up-Table 18 (LUT)-based PIM where all the processing units are implemented solely with 19 LUTs, as opposed to prior LUT-based PIM implementations that combine LUT with 20 logic circuitry for computations. This enables pPIM to perform ultra-low power & 21 low-latency operations with minimal fabrication complications. Moreover, the 22 complete LUT-based design offers simple ‘memory write’ based programmability 23 in pPIM. Enabling precision scaling further improves the performance and the 24 power consumption for CNN applications. The programmability feature potentially 25 makes it easier for online training implementations. Our preliminary simulations 26 demonstrate that our proposed pPIM can achieve 2000x, 657.5x and 1.46x 27 improvement in inference throughput per unit power consumption compared to 28 state-of-the-art conventional processor architecture, Graphics Processing Unit 29 (GPUs) and a prior hybrid LUT-logic based PIM respectively. Furthermore, 30 precision scaling improves the energy efﬁciency of the pPIM approximately by 31 1.35x over its full-precision operation.
Hormonal treatments to improve fertility in high lactating cows during the summer and autumn- basic and applied studies

Evaporative cooling methods are the most common strategy used to alleviate the effect of heat stress; however, there is a compelling need to find additional ways to improve fertility during the summer and autumn. This review examines the immediate and delayed effects of heat stress on follicular function and describes some potential hormonal strategies for their alleviation. It focuses on how heat stress affects the follicle and its enclosed oocyte, suggesting that perturbations in the follicular microenvironment, to which the oocytes are exposed for long periods of development, reduce their developmental competence. Among the potential alterations are reduction in gonadotropin secretion, alteration in follicular growth, attenuation of dominance, and disruption of steroidogenesis. Potential impairments in the follicle-enclosed oocyte upon heat shock are also described. The current review will focus on hormonal treatment to enhance removal of the impaired follicles by stimulation of follicular growth. A brief treatment with FSH or synchronization of follicular waves with GnRH followed by PGF2α is
SYNCHRONIZATION OF SPRINTING BETWEEN BLIND AND GUIDE SPRINTERS: A CASE STUDY

This study aimed to evaluate the magnitude of synchronization between blind and guide sprinters for elite and sub-elite pairs. Two pairs of male blind sprinters and their guide sprinters performed 60-m sprints during which ground reaction force and sprinting motion were recorded. Although flight time and propulsive force in sub-elite pair showed significant and moderate difference between the sprinters, there were trivial and small differences in variables between the sprinters of elite pair. Moreover, the correlation (r = 0.97 and 0.84) in the thigh angle in the sagittal plane between blind and guide sprinters was high with no phase shifting for the elite pair compared to the sub-elite pair during the initial acceleration phase. The results indicate that the magnitude of synchronization is likely high in an elite pair of blind and guide sprinter especially during the initial acceleration phase.
HPTLC Fingerprints of Various Secondary Metabolites in the Traditional Medicinal Herb Hypochaeris radicata L.

The aim of this work was to elucidate the various secondary metabolites such as alkaloids, flavonoids, glycosides, saponins, and terpenoids in the methanolic leaf and root extracts of Hypochaeris radicata, a most important traditional medicinal plant species in Nilgiris, the Western Ghats, India, using high performance thin layer chromatography (HPTLC). This study was carried out using CAMAG HPTLC system equipped with LINOMAT 5 applicator, TLC scanner 3, Reprostar 3, and winCATS 1.3. 4 software. A comprehensive assortment of phytoconstituents in methanolic extracts through HPTLC fingerprinting profiles displayed the existence of alkaloids (3 in leaf and 1 in root extract), flavonoids (4 in leaf extract and 5 in root extract), glycosides (1 in leaf extract and 3 in root extract), saponins (1 in root extract), and terpenoids (1 in leaf and root extracts, resp.). The current study overlays boulevard for H. radicata to provide a direction for further exploration in precluding communicable and noncommunicable ailments.
Student Collaboration and Independence from Day One in Higher Education

This study describes how a novel course structure at the beginning of engineering studies influenced the way students approach challenges during their studies. The study was conducted at Helsinki Metropolia UAS, Finland and focused on two groups of information technology students with diverse nationality backgrounds, and two groups of information and media technology students with Finnish background. This research examines student self-reliance and collaborative practices in project-based learning and the results as well as student feedback are further analysed. Student collaboration and independence were found to increase overall satisfaction and boost learning in project teams.
Estimation of Risk in Software Re-engineering Projects

- Although re-engineering is often used as a means to reduce the risk, reduce costs and maintain the operation of deriving the software, but re-engineering cannot avoid risk. Risk is a probability of occurrence of some unwanted and harmful event to the project. These events can result in cost overruns, schedule slippage, or failure to meet their project goals. Simulation is an important technique for calculate the probability of risk in software reengineering projects. This paper is aimed at implementing a simulator in Monte Carlo algorithm and Matlab language which estimates the probability of risk during project completion.
Title : Changes in visibility as a function of spatial frequency and microsaccade occurrence Running title : Spatial frequency , microsaccades and visibility

Affiliations: 1 Interdisciplinary Graduate program in Neuroscience, Arizona State University, Tempe, AZ, USA, 85287 2 Barrow Neurological Institute, Phoenix, AZ, USA, 85013 3 Grand Canyon University, Phoenix, AZ, USA, 85017 4 Department of Biomedical Engineering, University of Arizona, Tucson, AZ, USA, 85721 5 Department of Neurology, Johns Hopkins University, Baltimore, MD, USA. 21218 6 State University of New York, Downstate Medical Center, Brooklyn, NY, USA 11203 7 Schepens Eye Research Institute, Harvard Medical School, Boston, MA, USA 02114
Systematic relationships among some species of Solanum L. sect. Melongena L. – evidence from seed characters

Solanum incanum L. and S. insanum L. , two Indian wild and weedy forms of spinous Solanums, are closely related to S. melongena, the cultivated eggplant or brinjal. Evidence from light and scanning electron microscopy of the seed supports their close phylogenetic relationship. The three are nearly identical in the shape and size of the seed, the hilum and the seed epidermal cells. Seeds of “S. melongena var. potangi” on the other hand, have distinctly different morphology. This form of disputed taxonomic validity and uncertain identity is probably not available among the phylogenetically close relatives of eggplant.
RELATIONSHIP BETWEEN TELOMERE LENGTH AND BONE HEALTH: EVIDENCE FROM IN VITRO STUDIES

Telomeres are repetitive DNA sequences located at the end of chromosomes that serve as a protective barrier against chromosomal deterioration during cell division. Approximately 50–200 base pairs of nucleotides are lost per cell division, and new repetitive nucleotides are added by the enzyme telomerase, allowing telomere maintenance. Telomere shortening has been proposed as an indicator for biological aging, but its relationship with age-related osteoporosis is ambiguous. We summarize the current evidence on the relationship between telomere length and bone health in experimental and epidemiological studies, which serve as a scientific reference for the development of novel diagnostic markers of osteoporosis or novel therapeutics targeting telomere and telomerase of bone cells to treat osteoporosis.
Dynamic Modeling, Control and Power Management in a Grid-Integrated PV/SOFC/SC based Hybrid Power System

In the Global energy market, hybrid power system (HPS) is pave attractive approach due to the integration of renewable and/or alternative energy resources. Renewable energy is highly dependent upon atmospheric conditions, so, in order to meet the sustained load, various energy sources need to integrate with one another. This paper presents photovoltaic (PV), solid oxide fuel cell (SOFC) and super-capacitor (SC) based gird-integrated hybrid power system. PV is the primary power source of the HPS, whereas, SOFC-electrolyzer system and SC are used backup sources. In order to meet the sustained load, the power flow between different energy sources, storages unit and residential load is managed by using a power management algorithm (PMA). The performance of the HPS, for different scenarios of PMA is veried under dynamic load demand and varying weather conditions. The stated HPS is developed using MATLAB/Simulink. Keywords—Hybrid power system; control; power management algorithm; photovoltaic; SOFC; super-capacitor.
Population Biology of the Endangered Fluminense Swallowtail Butterfly Parides ascanius (Papilionidae: Papilioninae: Troidini)

ABSTRACT. A population of Parides ascanius butterflies was studied for 12 months in Rio de Janeiro, SE Brazil. The population size was approximately 10–20 individuals with a maximum of 50 individuals. Sex ratio was biased, with males dominating in most months. The residence time was 12.7 ± 10.1 days for males, with a maximum of 28 days. Males travel distances of up to 400 m, but most individuals were recaptured within 150 to 250 m of their original capture site. Our results show that P. ascanius has a relatively long adult life span and maintains high population numbers, suggesting that habitat loss rather than population attributes explains its rarity and endangered status.
Theoretical basis for stabilizing messenger RNA through secondary structure design

RNA hydrolysis presents problems in manufacturing, long-term storage, world-wide delivery, and in vivo stability of messenger RNA (mRNA)-based vaccines and therapeutics. A largely unexplored strategy to reduce mRNA hydrolysis is to redesign RNAs to form double-stranded regions, which are protected from in-line cleavage and enzymatic degradation, while coding for the same proteins. The amount of stabilization that this strategy can deliver and the most effective algorithmic approach to achieve stabilization remain poorly understood. Motivated by the need for stabilized COVID-19 mRNA vaccines, we present simple calculations for estimating RNA stability against hydrolysis, and a model that links the average unpaired probability of an mRNA, or AUP, to its overall rate of hydrolysis. To characterize the stabilization achievable through structure design, we compare optimization of AUP by conventional mRNA design methods to results from the LinearDesign algorithm, a new Monte Carlo tree search algorithm called RiboTree, and crowdsourcing through the OpenVaccine challenge on the Eterna platform. Tests were carried out on mRNAs encoding nanoluciferase, green fluorescent protein, and COVID-19 mRNA vaccine candidates encoding SARS-CoV-2 epitopes, spike receptor binding domain, and full-length spike protein. We find that Eterna and RiboTree significantly lower AUP while maintaining a large diversity of sequence and structure features that correlate with translation, biophysical size, and immunogenicity. Our results suggest that increases in in vitro mRNA half-life by at least two-fold are immediately achievable and that further stability improvements may be enabled with thorough experimental characterization of RNA hydrolysis.
#ifdef Directives and Program Comprehension: The Dilemma between Correctness and Preference

Many organizations and open-source projects use the C preprocessor (CPP) to implement configurability in their software systems. Despite extensive research, existing studies on the effects of CPP use on program comprehension are still limited to experiences, opinions, and empirical studies with narrow scopes. So, it is unclear whether the CPP actually leads to what is sometimes referred to as "#ifdef hell. " In this paper, we expand the existing evidence on program comprehension in the presence of CPP directives, but we also highlight a surprising dilemma. We conducted an empirical study, including an experiment and a questionnaire, on the impact of refactoring CPP directives with 521 experienced software developers. The results indicate that, in contrast to previous findings, comprehension performance slightly worsened in terms of correctness when our participants worked on code with refactored CPP directives. However, in alignment with previous findings, they preferred the refactored code, considering it more comprehensible and easier to work with. This dilemma of objective performance versus subjective preference is a surprising outcome that has not been found before. We argue that our work motivates the need for more studies to understand this dilemma—which may significantly impact common beliefs in research and practice.
Effect of Membrane Removal on the Production of Calcium Oxide from Eggshells via Calcination

In the pursuit of a circular economy and against a background of viable alternative uses of avian eggshells and eggshell membranes, this research investigated the effect of domesticated chicken eggshell membrane separation on the calcination process and quality of Calcium Oxide (CaO) produced. Acetic acid was used to leach the eggshells for 60 min to aid separation of the shell membrane. X-ray diffraction, red green blue colour model, and thermogravimetric analyses were used to characterize the calcined shells. Leached and separated shells produced CaO of comparable quality and crystallinity to unseparated shells after calcination. Results showed that while leaching and membrane separation did not affect calcination temperature, residual ash from the membrane left impurities in the unseparated shells after calcination. It was concluded that leaching and separating the membranes from eggshells prior to calcination serves to upcycle eggshells by facilitating improved CaO production and membrane value extraction.
A Survey on Link Prediction Techniques

- Link prediction is one of the interesting problems in the area of networks. Link prediction is the process of inferring new links in a network that may form in the future. This is applicable to social media and other kind of networks. Several models are used for link prediction which comprises of several algorithms. The major problem with link prediction is the massive size of networks. Network sparsity is also a challenge. This paper presents a literature survey on different link prediction methods that are commonly used and it focus on different link prediction algorithms.