Miracle-dz/UniFAR-FTUs huggingface dataset:
Detection of arsenosugars from kelp extracts via IC-electrospray ionization-MS-MS and IC membrane hydride generation ICP-MS

The selectivity and the ability to obtain structural information from detection schemes used in arsenic speciation research are growing analytical requirements driven by the growing number of arsenicals extracted from natural products and the need to minimize misidentification in exposure assessments. Three arsenosugars were extracted from ribbon kelp utilizing accelerated solvent extraction. The three arsenosugars were separated from other arsenicals with near baseline resolution using a PRP-X100 column and a 20 mM (NH4)2CO3 mobile phase at a pH of 9 with IC-ICP-MS detection. Utilizing these chromatographic conditions, the molecular weight was determined for each arsenosugar utilizing ion chromatography-electrospray ionization-mass spectrometry (IC-ESI-MS) in the positive ion mode. The molecular weight and retention times for the three arsenicals are 328 u (4.6 min), 482 u (8.2 min) and 392 u (14.2 min). The IC-ESI-MS-MS spectra from each of the arsenosugars were compared to the spectra reported in the literature, which were obtained via direct infusion of standard materials. All three MS-MS spectra contain m/z 237, 195 and 97, which are fragments of the base dimethylarsinylriboside common to all the arsenosugars. Adequate sensitivity for each arsenical was achieved using a 6.1 ng and a 22 ng injection for IC-ESI-MS and IC-ESI-MS-MS, respectively. Given the unavailability of standards, the arsenosugar distribution was determined via relative chromatographic areas using IC-ICP-MS. The IC-ICP-MS indicated the presence of an arsenic heteroatom within the same retention windows in which the arsenosugars were detected via IC-ESI-MS. The IC-ESI-MS and IC-ESI-MS-MS detection scheme provided structural information but at reduced sensitivity. In an attempt to preserve sensitivity and improve selectivity of the IC-ICP-MS, an on-line membrane hydride generation detection scheme was evaluated. The hydride system indicated that the three unknown peaks (arsenosugars) were not hydride active, thereby simplifying the chromatographic resolution needed to quantitate the more toxicologically important arsenicals, such as MMA, DMA, As(III) and As(V), while minimizing the potential for misidentification.
Instagram in the Foreign Language Classroom: Considerations and Limitations

Social networking sites have become part of the daily life of many individuals, including learners and teachers, who use technology and web-based social platforms as means of regular digital interactions. The popularity of social networking sites has dramatically increased over the last decade, especially among younger adults. Nevertheless, despite their potential of creating connections between people, languages, and cultures they have yet to be widely embraced in the context of language education. Furthermore, while research studies have focused on the integration of Facebook and Twitter in the language classroom setting, there is a lack of studies discussing the use of Instagram to foster cultural understanding. This exploratory paper addresses this gap by discussing how Instagram may be used by language learners to explore different cultures, create e-portfolios, and promote the understanding of diverse habits and practices.
FEMINIZATION OF LABOUR MARKET INEQUALITY IN NIGERIA AND UKRAINE In this paper, the causes and nature of labour market inequality as factors of feminisation

In this paper, the causes and nature of labour market inequality as factors of feminisation of poverty have been identified; their similarities and differences have also been represented and explained as they exist in Nigeria and Ukraine. The main aim of this research is to describe the current situation and to explain feminisation of poverty in the labour market with particular reference to gender gap in incomes. This is achieved by comparing the processes in each society; discovering the differences and similarities between both, the causes and possible effects if nothing is done to change the situation and remedies to reduce the problem. The research tries to unravel the situation and reasons behind the higher susceptibility of women to poverty. It identified factors that encourage the feminisation of poverty in each of the two countries. It investigates if the Nigerian and Ukrainian societies have factors that predispose women more to poverty; how these factors operate and how they are similar or dissimilar to each other. It explains that women’s disadvantaged positions due to their maternity roles, which leads to their labour being priced cheaper and wage gap between men and women, unequal domestic obligations, traditional patriarchal culture, unpaid domestic labour, attitude towards low wages, vertical and horizontal segregation and gendered educational career path are also causes of gender inequality in the labour market. It is concluded that the structure of the societies give room for higher female poverty and the Nigerian and Ukrainian labour markets are segmented with women facing some peculiar discrimination.
Inﬂuence of the Reduction Order in Multiplier Veriﬁcation using Computer Algebra

—Currently the most promising approach for automatically verifying multiplier circuits relies on computer algebra. In this approach the circuit as well as its speciﬁcation are modeled as polynomials and a polynomial reduction algorithm is applied to show correctness. We want to elaborate on the inﬂuence of the reduction order by employing a wide range of valid orderings. In our experiments we measure and compare the size of the intermediate reduction results and gain a clear preference towards a column-wise ordering.
neXt-Ray: Deep Learning on Bone X-Rays

As the world population ages, the prevalence of Musculosketal conditions will continue to rise. To meet the need for an automated means of detecting such conditions from X-rays - particularly in developing countries with limited access to radiologists - we introduce neXt-Ray, a model that detects whether upper-extremity Bone X-Rays passed to it as inputs are abnormal. neXt-Ray differs from a prior DenseNet-169-based attempt by the Stanford ML Group by utilizing a single, more memory-efﬁcient 152-Layer Residual Network as its architecture. Our model achieves an AUC of 0.89, as well as a sensitivity of 0.78, a speciﬁcity of 0.83, and overall accuracy of 0.81. Compared on the Cohen’s kappa statistic, our model outperforms the Stanford baseline and radiologists on ﬁnger studies and is comparable to radiologist performance on humerus studies. However, it performs worse than the Stanford baseline and radiologists on wrist, shoulder, hand, forearm, and elbow studies, and overall.
Studying the Relationship Between Level of Managers Strategic Intelligence and Level of Organization Success in Executive Organizations of Rafsanjan

The main goal of this research is to study the relationship between level of managers’ strategic intelligence and level of organization success in executive organizations of RAFSANJAN. Sectional method of study and correlation method have been used for this research. Statistical sample includes 104 managers of executive organizations of RAFSANJAN, and because of its limited volume no sampling has been done and sample volume is in fact the same as statistical sample. For data gathering two kinds of questionnaires have been used. Validity of strategic intelligence questionnaire and organization success questionnaire are 0.91and 0.89 respectively and their reliability are 0.79 and 0.85. Data analysis has been done by use of SPSS program and based on Spearman and Pearson correlation factors, stepwise regression method, t-even testing method, analysis of one-way variance and partial correlation method. Results show that there is a significant relationship between level of managers’ strategic intelligence and level of organization success in executive organizations of RAFSANJAN. A more detailed evaluation show that there is even a significant relationship between organization success and different components of strategic intelligence (like, foresight, ability of outlook management, ability of systematic thinking, ability to motivate employees and ability of creating cooperation in employees). Therefore, it is better to focus more on different components of strategic intelligence, in order to have an organization with an informed manager. Based on the results, it is necessary for organizations to take action and provide appropriate situation for managers in which they can increase components of strategic intelligence. Moreover, by applying different components of strategic intelligence, manager would be able to improve organization function, develop it and offering approaches to reach organization goals.
Master Thesis

Understanding the parameters and underlying rules of perception of high quality, complex VR environments has become more important since the availability of consumer market, real-time rendered VR applications. VR is a medium that strongly affects the body, and due to its medium specificity, creates an experience of place illusion (Slater, 2009) that poses unique challenges for the environment designer. The study develops a sensorimotor framework for the underlying rules of perception, or sensorimotor contingencies, and the basic parameters, or sensorimotor affordances, of VR environments. It integrates the framework with a model of perceptual design (Ward, 2015), by describing how environmental affordances create information, simulation and spatial-temporal structuring in VR environments. The study shows that the framework can be used to plan and analyse different types of complex VR environments, both for scientific purposes and for day-to-day design decision. It can help to clarify research questions, and integrate existing and future research on VR environments.
Nephroprotective Effects of L-Arginine against Chemotherapy Induced Acute Kidney Injury in Wistar Rats

Objective To evaluate the protective role of L-Arginine in cisplatin induced acute renal injury through assessment of renal, oxidative stress and inflammatory markers in albino wistar rats. Methods: Quasi-experimental study was conducted at the department of physiology and postgraduate research laboratory at Isra University, Hyderabad, Sindh from April 2019 to September 2019. Thirty male Albino wistar rats were selected through non-random purposive sampling and divided equally into three different groups: Group-A (Control group), Group-B (experimental group) received Cisplatin alone and Group-C (experimental group) received Cisplatin along with arginine. After sacrificing the animals, blood samples were collected through cardiac puncture while renal histopathological analysis was under the light microscope. The changes in severity were observed using a graded scale. Data was analysed using SPSS v23.0. Results: There was a statistically significant (p-value <0.05) decline in the bodyweight and rise in absolute kidney weight of group B in comparison with other two group. Moreover, significant rise (p-value <0.05) in serum renal markers was observed in group B while significant decline (p-value <0.05) in these serum renal markers in group C compared with group B. Furthermore, prominent demage in normal renal histology in group B rats while restoration of renal histology was demonstrated in group C rats. Conclusion: The present study concludes that L-Arginine exerts an anti-oxidative, anti-inflammatory and nephro-protective effect for renal tissue damage caused by Cisplatin. Keywords: Acute Kidney Injury, Antioxidant, Cisplatin, L-Arginine, Oxidative stress
A clinic-epidemiological study of organophosphorus poisoning in children in a tertiary care medical college hospital

Background: Acute organophosphorus (OP) pesticide poisoning is widespread and is the most common poisoning in many developing countries and varies in different geographic regions. Organophosphorus compounds are anti acetyl cholinesterase which exert their toxicity by interfering with the normal function of acetylcholine, an essential neurotransmitter throughout the autonomic and central nervous system.Methods: The present study was conducted in department of pediatrics Sri Siddhartha medical college, Tumkur. All children with OP poisoning admitted in the pediatric ward were included in the study. Unknown compound/tablet poisoning, which was contradictory to the diagnosis of OP compound were excluded.Results: Out of 5,274 cases which were admitted in pediatric ward, 15 children were diagnosed as OP poisoning. In the present study the incidence of OP poisoning was 2.84%. Out of 15 cases 3 cases were below 1 year of age, 2 cases were in the age group of 1-5 years, 5 cases were in the age group of 6-10 years and 5 cases were seen in above 11 years of age. Among 15 cases 13 (86.7%) cases were accidental poisoning and 2 (13.3%) cases were attempt to suicide. Out of 15 cases 4 (26.7%) cases were seen in monsoon, 4 (26.7%) cases were seen in winter and 7 (46.6%) in summer season. Out of 15 cases 14 (93.3%) cases improved with treatment and 1 (6.7%) case discharged against medical advice.Conclusions: Most cases of accidental poisoning are preventable by close watch on the toddlers and younger children who have a habit of tasting unknown things. Educate school children in all aspects of childhood poisoning.
Membrane Technology for Groundwater Purification : A review

Groundwater contains many impurities, salts, and mineral elements. Therefore, there is an essential demand to make water more purified from these impurities. There are many ways to purify water such as desalination and membranes technology. Polymeric, ceramic, and composite membranes are widely used in membranes manufacturing with a nanofiber/ nanomaterial membrane for groundwater filtration. To enhance membrane water flux and fouling, inorganic materials are embedded to the membrane polymeric solution. In the present review, water challenges in Egypt and ground water distribution is the focus. In addition, membrane technology with focus in materials, techniques, fouling, modules, and filtration process will discuss.
ANXA10 plays a suppressor role by regulating RhoA-ROCK signaling pathway in hepatocellular cancer

Object: This study was designed to investigate the role of ANXA10 in hepatocellular cancer. Methods: Lentiviral vector was used to increase the expression of ANXA10 in tumor cells. The expression of ANXA10 was confirmed by RT-qPCR and western blot method. CCK-8 kit was used to determine cell proliferation while cell invasiveness was detected with transwell assay. The cell apoptosis rate was determined with AnnexinV-FITC dye, and the in vivo effect of ANXA10 was evaluated in mice with xenograft tumor. Then Gene Expression Array was carried out to analyze the signaling pathway of ANXA10. Results: The level of ANXA10 was increased significantly in Huh-7 and SMMC-7721 cells. Cell proliferation was significantly inhibited after ANXA10 overexpression, and the invasiveness of SMMC-7721 cells was also inhibited. In contrast, ANXA10 overexpression induced cell apoptosis rate in both SMMC-7721 and Huh-7 cells. In vivo, ANXA10 overexpression also notably suppressed xenograft tumor growth. In addition, ANXA10 overexpression decreased expression of RhoA, Jun, MDM2 and ROCK. Also RhoA could rescue the adverse effects of ANXA10 overexpression on cell proliferation. Conclusion: ANXA10 plays a suppressor role in hepatocellular cancer and regulates RhoA-ROCK signaling pathway. This study gives us new clues to treat patients with hepatocellular cancer.
Acid-base status in canine babesiosis caused by Babesia canis

Acid-base disturbances have been reported in severe canine babesiosis caused by Babesia rossi (B. rossi), but they have not been studied in babesiosis caused by B. canis. The objective of this study was to determine the acid-base status, blood gases and electrolyte concentrations in naturally occurring canine babesiosis caused by B. canis, and to compare the results to those in healthy dogs. Two groups of animals were used: group 1 consisted of 10 healthy dogs, and group 2 consisted of 14 dogs naturally infected with B. canis. The following acid-base disturbances occurred in the dogs with naturally occurring babesiosis: half of the dogs had a mixed acid-base disorder, and the other half a simple acid-base disorder. The most common mixed disorder was metabolic acidosis with metabolic alkalosis. It may be said that a variety of acid-base disorders occurs in canine babesiosis. The dogs in the present study had metabolic acidosis due to hyperlactemia and hyperchloremia, metabolic alkalosis due to hypochloremia and hypoalbuminemia, and respiratory alkalosis due to hypoxemia. With the use of the strong-ion difference approach clearer recognition of mixed acid-base disorders and their better understanding is possible.
Performance of Soybean [Glycine max (L.) Merrill] under Organic and Inorganic Nutrient Management in Semi- Arid Tropical Conditions in Central India

Soybean is an important leguminous and oilseed crop of India and extensively grown all over Madhya Pradesh due to its wide adaptability to agro-climatic conditions. However a continuous decline in soybean productivity has been observed and nutrient imbalance is one of the important identified factors. The present study was conducted to explore the nutrient management option for sustained productivity of soybean. The performance of soybean crop under various nutrient management practices was studied with 9 different combinations of five levels of nitrogen (0, 20, 30, 40 and 60 kg ha-1), five levels of phosphorous (0, 13, 20, 26 and 35 kg ha-1), two levels of farm yard manure (0 and 6t ha-1) and two levels of crop residue (0 and 5t ha-1) replicated thrice. These combinations were T1-N0P0 (unfertilized control); T2-N20P13; T3-N30P20; T4-N40P26; T5-N60P35; T6-FYM6t+T2; T7-Residues 5t+T2; T8-FYM @ 6t ha-1 and T9-Crop residues 5t ha-1. The performance of soybean and change in soil properties were studied. The results revealed that, the combined application of organic and inorganic fertilizer application positively influenced the plant height, number of branches, number of pods plant-1, number of seeds pod-1, yield and test weight of soybean. Further, the combined application of FYM and inorganic fertilizers improved the soil organic carbon and nutrient availability.
Designing for Agent-Mediated Online Social Connections: Lessons Learned and Potential Challenges

Online education has been gaining popularity over the years. This year, in particular, online education has been normalized because of COVID-19, with many predicting that it is here to stay. Prior research has shown that online learners frequently experience social isolation due to the lack of face-to-face interactions. To tackle this problem, we built a virtual agent, SAMI, that leverages online students’ self-introduction posts from the class discussion forum to help them make social connections. The agent has been running on several online classes for three semesters so far. In this position paper, we summarize lessons learned and potential design challenges based on our research with online learners regarding the design of agent-mediated social connections. Even though our work has taken place in online learning, we believe many findings are potentially transferable to other remote communities.
Applying an Optimal Feature Ranking and Selection Algorithm and Random Forest Classifier Algorithm along with K-Fold Cross validation for Classification of Blood Cancer Cells

Technological inventions and researches have pushed various emerging fields to overwhelm information technology and its applications. Bioinformatics, medicines and drug discovery have found significance use of Artificial intelligence for aiding in various discoveries and patient centered care. One of the most critical area of medical concern is blood cancer that has limitations in detection and classification at a proper stage. By applying artificial intelligence techniques to the blood genetics, physicians and oncologists all over the world could find a solution for early detection and classification of the disease. Susceptibility, recurrence and survival rates of cancer are questions to be answered while detecting and classifying stages of cancer. Artificial intelligence techniques and models proposed by researchers for characterizing various stages of blood cancer have aided in providing treatment to certain extend. Applying artificial intelligence framework models on genetics has been found to provide results that satisfies the detection of the disease. However, an efficient methodology that focuses of selecting particular features of blood cancer and ranking these features and then classifying them into various stages is still lacking. This research focuses of using an optimal feature selection and ranking algorithm for ranking and selecting features and then employing random forest algorithm for classifying the blood cancer stages in the blood sample. This technique allows to provide better patient centered care and early classification of cancer stages.
PHYSICAL-CHEMICAL CHARACTERIZATION OF FRESH SHANKLISH CHEESE WITH KEFIR AND TURMERIC EXTRACT (Curcuma longa L.)

Currently, a large number of consumers seek to include functional foods in their diets, aiming beyond the nutritional value prevent health problems, among these foods are probiotic products and vegetables containing bioactive compounds. The objective of this work was to develop and physical-chemically evaluate fresh Shanklish cheeses with the addition of kefir and turmeric extract in order to develop a functional cheese. Shanklish cheese was manufactured and submitted to three different treatments: with the addition of kefir, turmeric extract and both of them. The results obtained for cheese composition were close to the results found in the literature and the cheeses showed stable pH values during the 21 days of storage at 8oC. It concluded that the addition of kefir and turmeric extract in Shanklish cheese is a way to develop a functional cheese.