Miracle-dz/UniFAR-FTUs huggingface dataset:
Prevalence of Virulence Genes and Antifungal Resistance in Candida albicans Isolated from Raw Goat Milk

The contamination of goat milk with pathogenic fungi can cause health hazards for the consumers either they consume it raw or even in the processed form. Since there are few studies concerning yeasts in raw goat milk, the present study aimed to determine the prevalence of yeasts and isolate Candida albicans from raw goat milk samples. Also, this study determined the distribution of virulence genes and the antifungal susceptibility profile of Candida albicans isolates. A total of 30 goat milk samples (collected from free-grazing goats) were mycologically examined. The confirmed Candida albicans isolates were subjected to PCR assay to detect the virulence genes (SAP4, RAS1, ALS1, HWP1, and PLB1). Also, antifungal sensitivity testing was performed against the commercially available antifungal agents and probiotics (Lactobacillus acidophilus and Lactobacillus plantarum). The mycological examination revealed that 14 out of 30 (46.7%) goat milk samples were positive for yeasts and only 4 (13.3%) isolates were confirmed as Candida albicans. The results from the PCR assay showed that RAS1 and ALS1 were found in 4 (100%) isolates, HWP1 and SAP4 were found in 2 (50%) isolates, while PLB1 was not detected in tested Candida albicans isolates (0%). Antifungal sensitivity testing results showed that ketoconazole gave the best activity against Candida albicans isolates, followed by fluconazole, nystatin, and itraconazole. All isolates were resistant to terbinafine. Moreover, both Lactobacillus acidophilus and Lactobacillus plantarum showed antifungal effects against Candida albicans, but Lactobacillus plantarum was more effective than Lactobacillus acidophilus. Antifungal resistance is a major problem that can lead to failure of candidiasis treatment. Regular antifungal sensitivity testing and searching for an alternative bio-eco-friendly approach for proper control and treatment of candidiasis are strongly needed to prevent treatment failure and emergence of resistant isolates.
Feeling Isolated and Lonely During Covid-19 Lockdown

Isolation and loneliness have been associated with negative mood states, sleep disturbances and health problems. People experiencing pandemic lockdowns are susceptible to feelings of isolation and loneliness. In this Survey Monkey study conducted during a COVID-19 lockdown (N= 260 respondents), 81% reported feeling isolated and 68% feeling lonely. Correlation analyses suggested that feeling isolated and lonely were related to each other and were, in turn, negatively related to health practices scale scores and positively related to scores on scales measuring COVID-related stress, negative mood states including anxiety and depression, fatigue, sleep disturbances, and posttraumatic stress symptoms. Analyses of variance revealed significant differences between isolated and non-isolated groups as well as between lonely and non-lonely groups on these measures. Only a weak correlation was noted between living alone and loneliness, suggesting that feelings of isolation and loneliness extended to those living with others as well. Positive correlations between both feeling isolated and lonely and time on Facebook and gaming suggested that these activities did not compensate for their isolated and lonely feelings. Feelings of isolation and loneliness and their associated problems also increased across the lockdown survey period. The lack of touch and exercise suggested that those activities might have alleviated the negative feelings and associated problems. The results of this survey are limited by the self-reported data from a non-representative sample that is crosssectional. Nonetheless, they highlight the negative effects of isolation and loneliness during a COVID-19 lockdown
Dietary Strategies Protecting Heat-stressed Farm Animals Against Increased Susceptibility to Inflammatory Diseases

Global warming and the growing consumer demand for animal-derived food and meat, particularly in newly industrialising countries with hot climates, raise public concerns on animal welfare, long-term sustainable livestock production and food and consumer safety (see Figure 1). In these areas, heat stress is one major reason for economic losses in livestock production. Besides lowering the quality of forage and feedstuffs, a hot and humid climate reduces reproduction performance and productivity of livestock animals. Moreover, heat stress affects general health and the susceptibility of farm animals to infectious diseases. In addition, new pathogens or vectors may be introduced into areas with changing climate. Under heat stress, animals alter their behaviour and physiology in order to dispose of heat and to decrease body temperature (see Figure 2). They spend less time feeding and moving, while spending more time on resting, drinking and panting. Obvious signs of heat stress in livestock include the decrease in feed intake and daily gain, the deterioration of product quality (meat, eggs and milk), and the increase in morbidity and mortality.
FACULTAD DE MATEMÁTICAS ON THE GEOGRAPHY OF SURFACES OF GENERAL TYPE WITH FIXED FUNDAMENTAL GROUP POR

In this thesis, we study the geography of complex surfaces of general type with respect to the topological fundamental group. The understanding of this general problem can be coarsely divided into geography of simply-connected surfaces and geography of non-simply-connected surfaces. The geography of simply-connected surfaces was intensively studied in the eighties and nineties by Persson, Chen, and Xiao among others. Due to their works, we know that the set of Chern slopes c1/c2 of simply-connected surfaces of general type is dense in the interval [ 5 , 2]. The last result which closes the density problem for this type of surfaces happened in 2015. Roulleau and Urzúa showed the density of the Chern slopes in the interval [1, 3]. This completes the study since accumulation points of c1/c2 belong to the interval [ 1 5 , 3] by the Noether’s inequality and the Bogomolov-Miyaoka-Yau inequality for complex surfaces. The geography of non-simply-connected surfaces is well understood only for small Chern slopes. Indeed, because of works of Mendes, Pardini, Reid, and Xiao, we know that for c1/c2 ∈ [15 , 1 3 ] the fundamental group is either finite with at most nine elements, or the fundamental (algebraic) group is commensurable with the fundamental (algebraic) group of a curve. Furthermore, a well-known conjecture of Reid states that for minimal surfaces of general type with c1/c2 < 1 2 the topological fundamental group is either finite or it is commensurable with the fundamental group of a curve. Due to Severi-Pardini’s inequality and a theorem of Xiao, Reid’s conjecture is true, at least in the algebraic sense for irregular surfaces or surfaces having an irregular étale cover. Keum showed with an example in his doctoral thesis that Reid’s conjecture cannot be extended over 1 2 . For higher slopes essentially there are no general results. In this thesis, we prove that for any topological fundamental group G of a given non-singular complex projective surface, the Chern slopes c1(S)/c2(S) of minimal non-singular projective surfaces of general type S with π1(S) ' G are dense in the interval [1, 3]. It remains open the question for non-simplyconnected surfaces in the interval [ 2 , 1].
THE DISCLOSURE OF CORPORATE GOVERNANCE: A TICK-BOX EXERCISE OR NOT?

The King Committee published the first King Report on corporate governance in 1994. The King II and III Reports, implemented in 2002 and 2010 respectively, placed progressively more emphasis on proper disclosure of corporate governance practices. King IV, published in 2016, strives to encourage management to focus on governance and not regard it as mindless compliance. Different stakeholders raised concerns that the continued corporate scandals could be, on a large scale, attributed to shortcomings in corporate governance practices. One of the objectives of King IV is to promote corporate governance as an integral part of effective management.
Holistic Herbs – A Natural Aresnal for Contention between Bugs and Drugs

Nosocomial infections are one of the major causes of disease globally, leading to the most frequent adverse events in healthcare setups worldwide [1]. Millions of patients are affected by nosocomial infections each year globally, bringing about significant mortality and economic losses in healthcare systems. At any given time, the prevalence of health care-associated infections in developed countries varies between 3% to 15% [2]. Moreover, nosocomial infections are becoming even more complicated to treat as antibiotic resistance surfaces up. Recent reports from Centre for Disease Control (CDC) and World Health Organization (WHO) have indicated that nosocomial infections accounts for approximately 2 million infections and 90,000 deaths per year, out of which nearly 23% deaths are attributed to reemerging antibiotic resistant pathogens [3]. Antibiotics comprising bactericidal or bacteriostatic chemotherapeutic agents are presently the only available therapeutic option for the management and deterrence of infectious diseases. However, several drug resistant microbes are emerging as a result of continuous mutations, there by restraining the efficacy of such pharmaceuticals [4]. Over use of antibiotics imposes selective pressure on a specific population of bacteria, thereby allowing the resistant bacteria to thrive and the susceptible bacteria to die off[5].
Niosomes: Potential Nanocarriers for Drug Delivery

Niosomes are novel vesicular drug delivery systems, where the solution is surrounded by non-ionic surfactant vesicles. The niosomes offer different benefits over the traditional drug delivery system. Niosomes are structurally similar to liposomes, as they also consist of a bilayer. In the case of niosomes, the bilayer consists of non-ionic surface-active agents instead of phospholipids, as seen in liposomes. Niosomes are much more stable during the process of formulation and storage, as compared to liposomes. Niosomes may resolve the issues of insolubility, volatility, poor bioavailability, and rapid drug degradation. It has been discovered in recent years that, these vesicles can enhance drug bioavailability and can act as a new strategy to deliver many conventional therapeutic agents, such as, protein drugs, and gene materials. It is also easy to prepare and scale up this novel delivery system with low production costs. The delivery of drugs via niosomal formulations may be relevant to several pharmacological agents for their activity against different diseases. The present review provides an overview about the advantages and disadvantages, fabrication techniques, types, characterization technique, and different applications of niosomes.
Effect of Mean Annual Changeability of Air Temperature, Surface Ozone Concentration and Galactic Cosmic Rays Intensity on the Mortality of Tbilisi City Population

The results of a study of the effect of the annual changeability of air temperature, surface ozone concentration and neutron component of galactic cosmic rays intensity on the mortality of the population of Tbilisi city in 1984-2010 are presented. The statistical characteristics of the investigated time-series are studied. In particular, it was found that within the variation range the contribution of the studied parameters to mortality variability is as follows: a random component of air temperature 8.5%, real values of surface ozone concentration and cosmic ray intensity 20.9% and 16.5%, respectively.
Advancement of grapevine maturity in Australia between 1993 and 2006: putative causes, magnitude of trends and viticultural consequences

Background and Aims: Recent warming has accelerated phenological development of many crops. We quantified the rate of change in date of designated maturity (21.8°Brix), date of harvest, and sugar concentration of berries at harvest in Chardonnay, Cabernet Sauvignon and Shiraz between 1993 and 2006. Methods and Results: Data from 18 Australian regions indicated that: (i) the date of designated maturity advanced at rates between −0.5 and −3.1 days/year; (ii) trends in the date of designated maturity were unrelated to trends in yield; (iii) trends of monthly temperature ranged from negligible up to 0.19°C/year; (iv) the rate of change in date of designated maturity was correlated with rate of change of temperature for Chardonnay and Cabernet Sauvignon, but not for Shiraz; (v) harvest was accelerated at a rate between −0.4 and −2.4 days/year; (vi) the rate of change in harvest date for Chardonnay was commensurate with the rate of change in maturity, hence berry sugar concentration at harvest remained stable with time; and (vii) the advancement of harvest for Cabernet Sauvignon and Shiraz only partially offset the advancements in maturity, hence the increase in the concentration of berry sugar at harvest, up to ~0.3°Brix/year. Conclusions: Maturity advanced at rates between half and 3 days per year. On a temperature basis, these rates are comparable to long-term rates reported for the northern hemisphere. Significance of the Study: This is the first report of time trends in phenology of grapevine in Australia and provides a benchmark for the industry.
Weakly Supervised Microscopy Cell Segmentation via Convolutional LSTM Networks

We address individual cells’ segmentation from microscopy sequences. The main challenge in this type of problems is not only foreground-background classiﬁcation but also the separation of adjacent cells. We apply two orthogonal approaches to overcome the multiple instance problem. From the segmentation perspective, we adopt the three class loss used by [1], [2]. The segmentation representation is designed to enhance individual cells’ delineation by a partitioning of image domain into three classes: foreground, background and cell contours. From the detection perspective, we get our inspiration from [3], and aim to detect rough cell markers. The markers, as opposed to the full segmentation, do not cover the entire cell, but are rather a small ”blob” somewhere within the cell. The markers have two desirable properties. First, they are much smaller than the object and thus are easier to separate between instances. One marker will never overlap or touch boundaries with a neighboring marker. Second, the markers are easy to annotate, as the annotator does not need to be precise, making data acquisition a simpler task. Often, for microscopy image sequences, the only available annotation is in the form of markers or approximate cell centers. We train the proposed network to estimate both the segmentation and the markers and merge the two using the Fast Marching Distance (FMD) [4]. The entire framework is illustrated in Figure 1.
A novel metalloporphyrin-based conjugated microporous polymer for capture and conversion of CO2

A novel conjugated microporous polymer was solvothermally synthesized using an aluminum porphyrin as a main building block, which had a high Brunauer–Emmett–Teller specific surface area up to 839 m2 g−1 and a pore volume of 2.14 cm3 g−1. The polymer displayed excellent capacity to capture carbon dioxide (4.3 wt%) at 273 K and 1 bar, and good catalytic activity for cyclic carbonate synthesis with TOF up to 364 h−1.
A CCELERATING CFD USING M ACHINE L EARNING SRCFD: A FRAMEWORK FOR SUPER RESOLVING COARSE - RESOLUTION TO FINE - RESOLUTION SIMULATIONS

In this paper, we present a machine learning framework for accelerating CFD simulations by super-resolving coarse resolution simulation into ﬁne resolution simulation using convolutional neural network. The basic idea behind our framework is to exploit the similarities between coarse and ﬁne resolution simulations by learning end-to-end mapping between them and this is done by training an (graph) convolutional neural network model on input-output pairs where inputs and outputs are coarse resolution simulations and ﬁne resolution simulations respectively. We test our model on different shapes and geometries and present our result. We also show that our framework can super-resolve by a factor of 2, 3 and 4. Finally, we will discuss how we can extend our work to predict super-resolved simulations in time and other future projects.
Leading Edge Review GeneticsofCommon , ComplexCoronaryArteryDisease

Kiran Musunuru1,* and Sekar Kathiresan2,3,4,* 1Cardiovascular Institute, Division of Cardiovascular Medicine, Department of Medicine, and Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA 2Broad Institute, Cambridge, MA 02142, USA 3Center for Genomic Medicine and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA 4Harvard Medical School, Boston, MA 02115, USA *Correspondence: kiranmusunuru@gmail.com (K.M.), skathiresan@partners.org (S.K.) https://doi.org/10.1016/j.cell. 2019.02. 015
Wavelets and Linear Algebra

Trace and some other interesting properties of Haar wavelets matrix of size 2K are studied by Shiralashetti and Kumbinarasaiah [6], results related to the trace of Haar wavelets matrix derived based on K is even or odd and the same is concluded in Theorem 3.2. This article deals with the trace of Haar wavelets matrix in depth by identifying and overcoming the pitfalls occur in the proof of Theorem 3.2. c © (2020) Wavelets and Linear Algebra
Dynamic Modeling and Control of a Single-Phase Grid-Connected photovoltaic System

Designing control strategies to connect a photovoltaic (PV) system to the grid has been significantly challenging. This paper focuses on developing a controller for a single-phase PV system connected to the grid and its implementation to modify the power factor in the distribution power system. To design a grid-connected PV system, its components are modeled, such as PV panels, Maximum Power Point tracking (MPPT) algorithm, the grid interface inverter with the appropriate filter, and the DC link capacitor. SIMULINK / MATLAB is used for simulation in this study. The proposed control strategy is designed to track the maximum power point of The PV panels and control the PV active and reactive output power. In this paper, the presented reactive power control provides the PV system with power factor correction (PFC) capability. The proposed technique for checking controller validity is tested, and the results prove that the proposed controller is good and provides the required performance.
Direct Simulation of the CoVid-19 epidemic

We introduce an agent-based model to simulate the epidemiological dynamics of COVID-19. Most computational models proposed to study this epidemic do no take into account human mobility. We present a direct simulation model where mobility plays a key role and propose as well four quarantine strategies. The results show that the no-quarantine strategy does lead to a high peak of contagions with no rebound. Quarantined strategies, for their part, show a re-emergence of the epidemic with smaller and softer peaks.
Using ICD-10-based Social Determinants of Health Categories to Assess Patients Risk for Acute Care Utilization

Objective: Social determinants of health (SDoH) play a pivotal role in health care utilization and adverse health outcomes. However, the optimal method to identify SDoH remains debatable. We ascertained SDoH based on International Classification of Disease 10 (ICD-10) codes in patient electronic health records (EHR) to assess the correlation with acute care utilization, and determine if social services interventions reduced care utilization. Methods: We analyzed retrospective data for active patients at a Department of Veterans Affairs Medical Center (VAMC) from 2015-2017. Eleven categories of SDoH were developed based on existing literature of the social determinants; the relevant ICD-10 codes were divided among these categories. Emergency Room (ER) visits, hospital admissions, and social work visits were determined for each patient in the cohort. Results: In a cohort of 44,401 patients, the presence of ICD-10 codes within the EHR in the 11 SDoH categories was positively correlated with increased acute care utilization. Veterans with at least one SDoH risk factor were 71% (95%CI: 68% - 75%) more likely to use the ED and 71% (95%CI: 65%-77%) more likely to be admitted to the hospital. Utilization decreased with social service interventions. Conclusion: This project demonstrates a potentially meaningful method to capture patient social risk profiles through existing EHR data in the form of ICD-10 codes, which can be used to identify the highest risk patients for intervention with the understanding that not all SDoH codes are uniformly used and some SDoHs may not be captured.
Spontaneous recovery of positive gate bias stressed power VDMOSFETs

Spontaneous recovery of threshold voltage and channel carrier mobility in positive gate bias stressed power VDMOSFETs and the underlying changes in gate oxide-trapped charge and interface trap densities are presented and analysed. Electron tunneling from neutral oxide traps associated with trivalent silicon /spl equiv/Si/sub o//sup . / defects into the oxide conduction band is proposed as the main mechanism responsible for stress-induced buildup of positive oxide-trapped charge. Subsequent hole tunneling from the charged oxide traps /spl equiv/Si/sub o//sup +/ to interface-trap precursors /spl equiv/Si/sub s/-H is proposed as the dominant mechanism responsible for the interface trap buildup. A chain of mechanisms related to a presence of hydrogen species is proposed in order to explain changes of oxide-trapped charge and interface trap densities during the spontaneous recovery. Interface trap /spl equiv/Si/sub s//sup . / passivation due to their reaction with hydrogen atoms is proposed as a main mechanism responsible for a decrease of interface trap density. Hydrogen molecule cracking at charged oxide traps /spl equiv/Si/sub o//sup +/, which leads to their neutralization, is proposed as the dominant mechanism responsible for a decrease of oxide-trapped charge density.
DESIGN OF A CLIMBING ROBOT: CAPUCHIN

This paper describes the work on the design and building of a climbing robot, Capuchin. The objective of this project is to create a multi-limbed robot and enable it to free-climb vertical rock autonomously using techniques similar to those used by human climbers. To achieve this goal, there are five fundamental challenges to be considered: hardware design, control, sensing, grasping and planning. Hardware design is particularly critical for a robot. A good hardware design can increase the performance of the robot and often make other issues like control and planning easier to deal with. In this paper, the hardware design of Capuchin is described in detail followed by a brief introduction of planning and control. Some experimental results are presented at the end of the paper.
Ayushi Chechani, International Journal of Research in Management, Economic sand Commerce, ISSN 2250-057X, Impact Factor: 6.384, Volume 08 Issue 3, March 2018, Page 86-89

The study of this research is about “Impact of branding on the consumer behavior”. Branding plays an important role for expansion of any business. Brand changes the customer decision making process and Consumers are crowned head of the market. Origin of the brand depends upon demographic factors (nature, age, gender, and income level of the consumer). Knowledge of the brand is an important factor in market. With the increase in knowledge of the brand, customer has all knowledge regarding price and quality. Brand increases transparency about the product and influence the customer to purchasing decision mainly at first time. Brand provides value and it also creates loyalty. Brand allows the company to survive in a market at secured level through satisfaction of the consumer. Social networks (e.g. face book, Instagram, twitter, whatsapp etc.) and group of the consumer affects decision making process.