Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterization of Azo Dye-degrading Coriolopsis sp. strain arf5

Sixty-three local white-rot fungi were isolated from soil and wood samples on potato dextrose agar (PDA). All these isolates were screened for their ability to degrade four textile azo dyes; Ponceau 2R (C.I. 16450), Orange G (C.I. 16230), Direct Blue 71(C.I. 34140) and Biebrich Scarlet (C.I. 26905). Out of forty isolates that gave positive results, one promising isolate which can completely degrade all four dyes in the minimum amount of time was selected for further studies. This isolate was from Universiti Putra Malaysia (UPM) Serdang campus. The isolate was tentatively identified to the species level as Coriolopsis sp. strainarf5 based on restriction fragment length polymorphisms of the internal transcribed spacer region. Nutritional studies on defined solid medium showed that this isolate was only able to degrade the four azo dyes under nitrogen-limiting conditions and an additional carbon source (glucose) need to be added to provide sufficient energy for the degradation to occur. Various parameters such as initial pH and incubation temperature were optimized.
Hybrid SWARA-COPRAS method for risk assessment in deep foundation excavation project: an Iranian case study

AbstractExisting risks in deep foundation excavation projects is a major issue in developing cities. With the rapid increase in the number of various deep foundation and excavation projects in big cities of Iran, many accidents related to deep excavation have been reported every year. These accidents affected delay and increased cost of project implementation. Therefore identification and assessment of risks of these accidents is essential. The aim of the research was to develop a framework to overcome limitations of previous approaches to assess of risks in excavation projects. According to the complexity of a problem and the inherent uncertainty, the framework adopted SWARA (Step-wise Weight Assessment Ratio Analysis) and COPRAS (COmplex PRoportional ASsessment) methods through introducing new criteria for risk assessment. Data was collected through interview, a literature review and a questionnaire survey distributed to excavation project experts. A case study of deep foundation excavation in Shiraz wa.
Combinations of ATR, Chk1 and Wee1 Inhibitors with Olaparib Are Active in Olaparib Resistant Brca1 Proficient and Deficient Murine Ovarian Cells

Simple Summary Poly(ADP-ribose) polymerases inhibitors (PARPis), including olaparib, have been recently approved for ovarian carcinoma treatment and PARPi resistance has already been observed in the clinics. With the aim of dissecting the molecular mechanisms of PARPi resistance, we generated olaparib resistant cells lines, both in a homologous recombination (HR)-deficient and -proficient background by continuous in vitro drug treatment. In the HR proficient background, olaparib resistance was caused by overexpression of multidrug resistance 1 gene (MDR1), while multiple heterogeneous co-existing mechanisms were found in olaparib resistant HR-deficient cells, including overexpression of MDR1, a decrease in PARP1 protein level and partial reactivation of HR repair. We found that combinations of ATR, Chk1 and Wee1 inhibitors with olaparib were synergistic in sensitive and resistant sublines, regardless of the HR status. These new olaparib resistant models will be instrumental to screen new therapeutic options for PARPi-resistant ovarian tumors. Abstract Background. Poly(ADP-ribose) polymerases inhibitor (PARPi) have shown clinical efficacy in ovarian carcinoma, especially in those harboring defects in homologous recombination (HR) repair, including BRCA1 and BRCA2 mutated tumors. There is increasing evidence however that PARPi resistance is common and develops through multiple mechanisms. Methods. ID8 F3 (HR proficient) and ID8 Brca1-/- (HR deficient) murine ovarian cells resistant to olaparib, a PARPi, were generated through stepwise drug concentrations in vitro. Both sensitive and resistant cells lines were pharmacologically characterized and the molecular mechanisms underlying olaparib resistance. Results. In ID8, cells with a HR proficient background, olaparib resistance was mainly caused by overexpression of multidrug resistance 1 gene (MDR1), while multiple heterogeneous co-existing mechanisms were found in ID8 Brca1-/- HR-deficient cells resistant to olaparib, including overexpression of MDR1, a decrease in PARP1 protein level and partial reactivation of HR repair. Importantly, combinations of ATR, Chk1 and Wee1 inhibitors with olaparib were synergistic in sensitive and resistant sublines, regardless of the HR cell status. Conclusion. Olaparib-resistant cell lines were generated and displayed multiple mechanisms of resistance, which will be instrumental in selecting new possible therapeutic options for PARPi-resistant ovarian tumors.
CONTROLLING PSEUDOMONAS AERUGINOSA IN CONTAMINATED WATER AND MILK VIA SPECIFIC BACTERIOPHAGES

In this study Pseudomonas aeruginosa was isolated from a sewage water sample collected from treatment plant of Elkawther City, Sohag, Egypt. Sensitivity test of Pseudomonas aeruginosa to 19 antibiotics indicated that two (ciprofloxacin and meropenem) out of 19 antibiotics tested exhibited inhibitory effect against P. aeruginosa. Ciprofloxacin was the most efficient antibiotic followed by meropenem, they exhibited inebriation zones of 30 and 25 mm. in diameters, respectively. P. aeruginosa was found to be tolerant to salinity stress. It has the ability to grow in 9% NaCl. In addition, P. aeruginosa was tolerant to pH levels ranging from 4 -10. Bacteriophages specific to P. aeruginosa were successfully isolated from the same sewage water sample. Bacteriophages were applied to water and milk contaminated with P. aeruginosa at 4 and 37oC. Due to application of phages number of bacteria was gradually decreased in both water and milk and no bacterial cells were detected after 24 hr. at 4 and 37oC. Whereas, number of phage particles increased and the highest number was recorded after 24hr. Therefore, application of specific phages to foodstuffs is highly recommended to avoid contamination or to get rid of this pathogenic bacterium.
Assessment of soil Quality in some areas of the Nile Delta, Egypt, using GIS and remote sensing

This study aims at assessing Soil Quality Index (SQI) works interactively, comparing the values of the characteristics of the land unit with the Levels set designated for each quality class. Soil quality is based on analysis of edaphic factors which affect the quality. The following steps explain the mechanism of Soil Quality Index (SQI):drainage (D); rock fragments (R); slope (S), soil texture (T), soil depth (P), parent material (M) salinity (EC), sodicity (ESP), pH and calcium carbonate (O). The study area includes the following three governorates (Kafr El-Sheikh, Gharbia, Dakahliea) The studied area lies between 31° 36' 50.2″ and 30° 34' 35.4″ N and 30° 21' 59.5″ and 32° 18' 15.8″ E, and covers 9995 km 2 (999500 ha). The area includes three landscapes: flood plain, aeolian plain and lacustrine plain. Thirty soil profiles representing Two Quality classes were defined class II "moderate quality" covering 2.24 % of the area (22440.32 ha), in mapping unit CF1 and class III "Moderate-low quality" covering 80.76% (701517.64 ha) of the area in units decantation basins (DB), overflow basins (OB), overflow mantle (OM), high river terraces (RT1), moderate river terraces (RT2) low river terraces (RT3), sand sheets (SS) , relatively low clay (CF2) and wet sabkha ( WS).
Evaluating a Device for Pneumatic Lint Cleaning

Research exploring innovative techniques to clean ginned lint while reducing short fiber and neps has led to evaluations of a pneumatic fractionator. This device is typically used to determine foreign matter content of seed cotton at the USDA cotton ginning research laboratories. No modifications were made to the device, but the operational parameters of pneumatic air pressure and processing time were varied from 40 to 70 psi and 10 to 75 s, respectively. The overall results were not conclusive. The fractionator cleaned ginned lint about as well as a typical saw-type lint cleaner, but no differences in measures of fiber damage – such as fiber length, short fiber content, and nep count – between the fractionator and saw-type lint cleaner were detected. Compared to the saw-type lint cleaner, the fractionator did remove less fiber with the foreign matter during cleaning and that fiber was shorter. The results brought to the forefront questions about 1) the effects of cultivar physical properties on susceptibility to fiber damage during ginning and 2) the effects of undetectable differences in raw fiber quality parameters on spinning performance. Answering these questions will require further investigation.
Current Understanding of the Applications of Photocrosslinked Hydrogels in Biomedical Engineering

Hydrogel materials have great application value in biomedical engineering. Among them, photocrosslinked hydrogels have attracted much attention due to their variety and simple convenient preparation methods. Here, we provide a systematic review of the biomedical-engineering applications of photocrosslinked hydrogels. First, we introduce the types of photocrosslinked hydrogel monomers, and the methods for preparation of photocrosslinked hydrogels with different morphologies are summarized. Subsequently, various biomedical applications of photocrosslinked hydrogels are reviewed. Finally, some shortcomings and development directions for photocrosslinked hydrogels are considered and proposed. This paper is designed to give researchers in related fields a systematic understanding of photocrosslinked hydrogels and provide inspiration to seek new development directions for studies of photocrosslinked hydrogels or related materials.
Chromosome Number and Genome Size Evolution in Brasolia and Sobralia (Sobralieae, Orchidaceae)

Despite the clear circumscription of tribe Sobralieae (Orchidaceae), its internal relationships are still dubious. The recently delimited genus Brasolia, based on previous Sobralia species, is now assumed to be paraphyletic, with a third genus, Elleanthus, nested in it. The morphology of these three genera is significantly different, indicating the necessity of new data for a better genera delimitation. Though morphology and molecular data are available, cytogenetics data for Sobralieae is restricted to two Sobralia and one Elleanthus species. Aiming to evaluate the potential of cytogenetic data for Brasolia-Elleanthus-Sobralia genera delimitation, we present chromosome number and genome size data for 21 and 20 species, respectively, and used such data to infer the pattern of karyotype evolution in these genera. The analysis allowed us to infer x = 24 as the base chromosome number and genome size of average 1C-value of 5.0 pg for the common ancestor of Brasolia-Elleanthus-Sobralia. The recurrent descending dysploidy in Sobralieae and the punctual genome upsize suggest a recent diversification in Sobralieae but did not allow differing between Brasolia and Sobralia. However, the basal position of tribe Sobralieae in the subfamily Epidendroideae makes this tribe of interest to further studies clarifying the internal delimitation and pattern of karyotype evolution.
Analysis of the Influences of Parameters in the Fractional Second-Grade Fluid Dynamics

This work proposes a qualitative study for the fractional second-grade fluid described by a fractional operator. The classical Caputo fractional operator is used in the investigations. The exact analytical solutions of the constructed problems for the proposed model are determined by using the Laplace transform method, which particularly includes the Laplace transform of the Caputo derivative. The impact of the used fractional operator is presented; especially, the acceleration effect is noticed in the paper. The parameters’ influences are focused on the dynamics such as the Prandtl number (Pr), the Grashof numbers (Gr), and the parameter η when the fractional-order derivative is used in modeling the second-grade fluid model. Their impacts are also analyzed from a physical point of view besides mathematical calculations. The impact of the fractional parameter α is also provided. Finally, it is concluded that the graphical representations support the theoretical observations of the paper.
Food security and social protection in times of COVID-19

From the perspective of social work, it is important to analyse food insecurity before and during the COVID-19, identify the best practices and how social work can contribute to improving living conditions. Using a meta-analysis, this article reviews how food security is addressed in the literature to better inform social policies from a social work perspective. A search of the literature revealed 217 articles between 2010 and 2021. The descriptors for the search were food security, food aid and social work. The main results are the identification of key aspects to inform social policies and promote sustainable social change worldwide.
Correcting Degenerative Lumbar Spine Deformity by Stand-Alone Anterior Oblique Lumbar Interbody Fusion

Background Data: Adult degenerative scoliosis has at its starting point the same broader definition of adult scoliosis, which is defined as a Cobb angle of greater than 10 degrees measured in the coronal plane. However, it is exclusive for adults who previously had normal spinal alignment. Such pathology with no specific etiology results from a combination of degenerative lumbar diseases. Oblique lumbar interbody fusion (OLIF) is one of the fusion techniques used. It was introduced to overcome the disadvantages of the commonly used interbody fusions like anterior (ALIF), lateral (LLIF), or posterior (PLIF) interbody fusions. OLIF can achieve spinal stability, correct alignment in coronal and sagittal balance anteriorly, and indirectly decompress neural structures with fewer complications related to traditional transpsoas or retropsoas approaches. Study Design: Prospective clinical case study. Objective: To assess the degree of coronal and sagittal deformity correction in patients suffering from degenerative lumbar spine deformities after stand-alone (SA) OLIF. Patients and Methods: Patients with ADS following specific inclusion criteria underwent SA OLIF. Preand postoperative clinical data (back and leg pain VAS and ODI), radiological data (spinopelvic parameters, segmental Cobb’s angle, and anterior disc height), and intraoperative data (operative time, amount of blood loss, “intraoperative or postoperative” complications, and hospital stay) were all analyzed and compared statistically. Results: A total of 28 patients and 30 levels underwent operation by SA OLIF, with a mean age of 50.54 ± 6.05 years, including 14 males and 14 females. The mean operative time/min, blood loss/ml, and hospital stay/day was 91.29 ± 14.23, 195.54 ± 42.299, and 2.78 ± 0.875, respectively. The mean of back pain VAS, the mean of leg pain VAS, and ODI changed from preoperatively 7.36 ± 0.98, 6.36 ± 0.911, and 68.615 ± 8.72 to 4.07 ± 1.01, 2.07 ± 0.9, and 20.23 ± 4.7 in 1 year, respectively. The average SVA, PT, and Cobb angle decreased from 12.93, 19.21, and 10.39 to 8.93, 18.42, and 7.04 in 1 year, respectively.
Illusion of Truth: Analysing and Classifying COVID-19 Fake News in Brazilian Portuguese Language

Public health interventions to counter the COVID-19 pandemic have accelerated and increased digital adoption and use of the Internet for sourcing health information. Unfortunately, there is evidence to suggest that it has also accelerated and increased the spread of false information relating to COVID-19. The consequences of misinformation, disinformation and misinterpretation of health information can interfere with attempts to curb the virus, delay or result in failure to seek or continue legitimate medical treatment and adherence to vaccination, as well as interfere with sound public health policy and attempts to disseminate public health messages. While there is a significant body of literature, datasets and tools to support countermeasures against the spread of false information online in resource-rich languages such as English and Chinese, there are few such resources to support Portuguese, and Brazilian Portuguese specifically. In this study, we explore the use of machine learning and deep learning techniques to identify fake news in online communications in the Brazilian Portuguese language relating to the COVID-19 pandemic. We build a dataset of 11,382 items comprising data from January 2020 to February 2021. Exploratory data analysis suggests that fake news about the COVID-19 vaccine was prevalent in Brazil, much of it related to government communications. To mitigate the adverse impact of fake news, we analyse the impact of machine learning to detect fake news based on stop words in communications. The results suggest that stop words improve the performance of the models when keeping them within the message. Random Forest was the machine learning model with the best results, achieving 97.91% of precision, while Bi-GRU was the best deep learning model with an F1 score of 94.03%.
“I am the Face of My Future Generation”: Latina First-Generation Undergraduates Aspiring to Careers in Health Care and Medicine

Given the need for Latinx/a/o health care providers in the United States, understanding how students choose these fields is critical to achieving more equitable systems. This study uses community cultural wealth to investigate how Latina first-generation college students choose and pursue health care careers. Findings show that women employed multiple sources of capital to learn about career options, challenge inequalities in health systems, and to give back to family, especially to honor past and future generations of women.
Effects of Occupational Therapy via Telerehabilitation on Occupational Balance, Well-Being, Intrinsic Motivation and Quality of Life in Syrian Refugee Children in COVID-19 Lockdown: A Randomized Controlled Trial

We aimed to evaluate the effects of an occupational training program via telerehabilitation on well-being (WB), occupational balance (OB), intrinsic motivation (IM), and quality of life (QoL) in Syrian refugee children resettled in Turkey during the COVID-19 pandemic. This was a single-center, prospective, randomized, non-blinded trial in which children aged 13–15 years and attending a secondary school were recruited. OB, WB, IM, and QoL were evaluated via the OB Questionnaire (OBQ11), the Well-Star Scale (WSS), the IM Scale (IMS), and the Pediatric Quality of Life Inventory (PedsQL). The intervention group attended online occupational therapy classes. Online classes were carried out as five sessions per week, each session lasting 1 h, for 3 weeks. Questionnaires were performed at the outset of the study and following the training program. Overall, 52 refugee children were randomized into the intervention and control groups, each including 26 children. The mean OBQ11, WSS, IMS, and PedsQL scores significantly improved more in the intervention group than in the control group. This was the first study investigating the effects of a customized online training course on OB, WB, IM, and QoL in Syrian refugee children, also affected unfavorably by the COVID-19 lockdown. Our results showed significant improvements in all the study scales that we used to quantify the alterations in the aforementioned traits.
Correlation between Forced Vital Capacity and the Severity of Frailty-Induced Dysphagia

Introduction: Frailty syndrome is a complex condition characterized by the gradual deterioration of an individual’s physical, mental, and social functions. Dysphagia is a dysfunction triggered by frailty. However, in patients with frailty syndrome, dysphagia is often undermined, and a proper evaluation is not performed. Therefore, we tried to identify the factors that can provide proper information regarding dysphagia in the frail population. Methods: Patients with dysphagia were divided into those with frailty-induced dysphagia and those with brain-lesion-induced dysphagia. Factors related to the participants’ pulmonary function test (PFT) results were evaluated. The severity of dysphagia was evaluated by determining modified videofluoroscopic dysphagia scale (mVDS) and penetration–aspiration scale (PAS) scores based on videofluoroscopic swallowing studies. Statistical analysis was performed to determine the correlation between PFT results and the parameters indicating dysphagia severity. Results: Multivariate logistic regression analysis revealed that forced vital capacity (FVC) was significantly correlated with mVDS scores in frailty-induced dysphagia (p < 0.05). However, no such significance was detected in brain-lesion-induced dysphagia (p ≥ 0.05). Conclusion: FVC was correlated with the severity of dysphagia (mVDS scores) in patients with frailty-induced dysphagia. Thus, serial FVC-based follow-up can be helpful for understanding patients’ dysphagia status. However, studies with a general population of patients with frailty-induced dysphagia are needed for definite generalization.
Investor Herding Behavior in Extreme Conditions During Covid-19: Study On Indonesian Stock Market

Herding behavior as a financial behavior bias is defined as the tendency of investors to imitate other decisions without prudent consideration. The aim of this paper is to analyze the effect of investor herding behavior in extreme market conditions during Covid-19 pandemic on the Indonesia Stock Market. The data used in this study is cross-sectional absolute deviation of stock return and market return. The samples included in the research criteria were 80 companies. The samples were analyzed using CCK2000 method and robustness test using Tan 2008 method with help of the Eviews 12 application. The empirical results of this study found the effect of investor herding behavior during extreme conditions of Covid-19 pandemic (general model) and during bearish market period. Meanwhile, no effect of herding behavior was found during bullish market period on the Indonesian Stock Market. Two of the four robustness test models are robust.
Arduino based solar tracking system

This thesis proposes the dual axis solar tracker for optimum solar cell implementation using dc-dc boost converter controlled by fuzzy logic controller with the maximum power point tracking (MPPT) method. The objectives of this project are to track and optimize the maximum output power of the solar panel by designing and implementing the fuzzy logic controller using microcontroller as well as to regulate the output voltage of the solar panel using dc-dc boost converter. The system includes a solar panel, DC-DC boost converter, the fuzzy logic controller implemented on Arduino Uno for controlling on/off time of MOSFET of the boost converter, voltage divider and optocoupler circuit as a driver for MOSFET. Tracking and detecting the angle of the sun to locate the surface plate of solar cell at the position and the angle where it can get maximum amount of energy. The solar panel must have sensors that can detect the position of the sun and dc motors act as free moving neck to make it easier to move freely depending on the angle detected. The light dependent resistor (LDR) will be used as sun tracking. The photocell panel will detect the existing of sun and the surface plate of photocell panel will move horizontal and vertical axis depending on the value of LDR detected to follow the angular degree of sun in order to get maximum and best result of absorbing energy. Moreover, this project presents a fuzzy logic real time code in Arduino language for ATmega328 microcontroller at Arduino Uno board. The result obtained from the Arduino coding is the variation of duty cycle of PWM signal according to the voltage of solar panel. The final result obtained from dc-dc boost converter showed that the output voltage has been regulated. Overall, the designed system increases the efficiency of the solar panel based on experimental results.