Miracle-dz/UniFAR-FTUs huggingface dataset:
Thymoquinone, an Active Compound of Nigella Sativa: Role in Prevention and Treatment of Cancer.

BACKGROUND Cancer is the leading cause of death worldwide and current mode of cancer treatment causes side effects on normal cells and are still the key challenges in cancer treatment. However, natural products or active compound of medicinal plants are being safe, affordable, and effective in diseases cure. METHODS In this context, scientific studies evidence the health promoting effects of natural products, which work through its anti-oxidant, anti-inflammatory and anti-cancer activity. Thymoquinone (TM), a predominant active compound of Nigella sativa, has confirmed antineoplastic activity through its ability to regulate various genetic pathways. In addition, thymoquinone has established anti-cancerous effects through killing of various cancerous cells, inhibit the initiation, migration, invasion and progression of the cancer. The anti-cancer effects of TM are chiefly mediated via regulating various cell signaling pathways such as VEGF, bcl2/bax ratio, p53, NF-kB and oncogenes. RESULTS The anti-cancer drugs have limitations in efficacy and also causes adverse side effects on normal cells. The combination of anti-cancer drugs and thymoquinone improve the efficacy of drugs as evidences by decrease resistance to drugs and regulating various cell signaling pathways. Moreover, combination of anti-cancer drugs as well as thymoquinone shows synergistic effect on killing of cancer cells and cells viability. Thus TM in combination with anti-cancer drugs can be a good strategy in the management of various types of cancer. CONCLUSION In this review article, we deliver an outline of thymoquinone role in cancer inhibition and prevention of cancer based on in vivo and in vitro studies. Further studies on thymoquinone based on clinical trials are highly required to explore the benefits of thymoquinone in cancer management.
It is harder than you think: On the boundary conditions of exploiting congruency cues.

Humans are able to anticipate abstract task demands and prepare attentional sets accordingly. A popular method to study this ability is to include explicit cues that signal the required level of cognitive control in conflict tasks (e.g., whether or not word meaning will correspond to the task-relevant font color in a Stroop task). Here, we demonstrate that this ability is more limited than assumed by most theories. Starting from a recent finding that implicit cues on the previous trial do not aid task performance, we demonstrate that these cues remain inefficient even when participants are explicitly instructed about their meaning, when the cue-stimulus interval is prolonged, or when the cues are deterministic and blocked (Experiments 1-4). In fact, the cues sometimes even impaired performance. Extending cue-information into the intertrial interval did not help (Experiment 5), and even though we replicated previous cueing effects using explicit cues in between trials in the vocal Stroop task (Experiment 7), this effect disappeared when using manual responses or presenting the cue in the preceding trial (Experiments 6, 8, and 9), and only benefited congruent responses when the intertrial interval was reduced (Experiment 10). Together, these findings point to important boundary conditions in cued control: The ability to prepare for control demands on a trial-by-trial basis is restricted to situations in which cues are presented alone, and where the task involves a nonarbitrary stimulus-response mapping. We discuss these findings in light of recent theories that emphasize the role of event boundaries and the value of cognitive control. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
ENDOSCOPIC TREATMENT OF CHRONIC PANCREATITIS IN PEDIATRIC POPULATION: LONG-TERM EFFICACY AND SAFETY

Background Chronic pancreatitis (CP) in children is an inreasingly recognized disease. Objective The purpose of study was to analyse the safety and long-term efficacy of endoscopic treatment in children with CP. Methods Records of 38 patients aged <18 years, referred to the Digestive Endoscopy Unit at Catholic University, Fondazione Policlinico “A. Gemelli” IRCCS between 1991 and 2017, were reviewed. Abdominal pain, analgesia and number of episodes of acute pancreatitis in the pre- and post- endoscopic retrograde cholangiopancreatography (ERCP) period were evaluated. Need for surgery was assessed. Therapeutic intervention data and complications were interrogated. Results In total 158 ERCPs were performed. Median post-ERCP follow-up was 7 years. The majority of patients had CP type IV (47%) and type Ib (37%) (Cremer’s classification). Major papilla pancreatic sphincterotomy was performed in 47%, major and minor in 24% and minor in 29% of patients. Stones/plugs were removed in at least one ERCPs in 66% individuals. Eleven out of 38 patients had stricture of the pancreatic duct; these were dilated and stented in 5/11 and stented in 6/11. Five complications were recorded (3%). Severity and frequency of abdominal pain improved significantly; p < 0.001. Use of analgesia and number of episodes of acute pancreatitis decreased significantly; p < 0.001. One child required subsequent surgery. Conclusion Endoscopic management of symptomatic CP in children is safe and effective.
Factors Constraining Small Scale Rice Production in Jowhar District, Hirshabelle State, Somalia

The study surveyed the factors constrainingrice production in Jowhar district, Hirshabelle state, Somalia. These problems can be grouped into Agronomic and Socioeconomic factors. Rice production in study area is well known in comparison to other parts of southern Somalia. The study was carried through descriptive survey research design. A study sample of 80 farmers was selected from four rice farming villages in the district. Questionnaire was designed to gather information from the farmers. The data was analyzed with the help of SPSS softwareusing frequency, percentage and means. The study have shown that 70.0% of the respondents were male, about 46.3% of the respondents fall the age between 20-25 years, about 67.5% of the respondents were farmers with 65% of them having farm size between 0.5-3 hectares. The agronomic factors constraining rice production in the study area includelack of proper and high yielding cultivars 47.5%, Pests and Diseases 68.8%, anddrought impacts57.5%. The socioeconomic factors influencing rice production include financial constraints 73.8%, lack of research and extension services 46.3%, and illiteracy 43.8%. It is suggested that farmers should be assisted with modern rice farming technologies coupled with research and extension services.
Comparison of the Stunning and Non-Stunning Slaughtering Methods in the Light of the Current Knowledge

The Islamic principles of slaughtering without stunning The source of animal food is important for Muslims because the animal must be halal and still be alive before slaughter [1]. Such meats must be obtained from poultry or two hoofed animals slaughtered in accordance with requirements specified in the Islamic sources [2,3]. Additionally, Islam definitively does not allow any intentional torment of harm or injury to the animal before or after its slaughter. In this respect, the welfare of the animal includes the pre-slaughter phase, slaughter and post-mortem phases [4]. One of the things that is intended and achieved by halal slaughter is drained out the greatest amount of blood in the body as soon as possible, because as soon as the blood is removed from the body, the animal feels the least pain [5]. Moreover, since the intensity of the pain sensors on a blade-thin line in the throat region of the animal is negligible, it can be said that the animal might suffer less when cutting with a knife compared to other slaughtering methods such as stunning [6]. In this context, it can be said that stunning is mainly the process of rendering animals immobile to make the butcher’s job easier but not a solution to help the animal feel less pain.
Safe and Simple Approach to Prepare Hexagonal ZnO Nanostructures in Water

Nanosciences is regarded and acknowledged as a triumph of human ingenuity and the development of man is always marked by technological breakthroughs. The emerging field of nanotechnology is leading to a technological revolution in the world. It is the next industrial revolution and almost all industries will be radically transformed by it in a few years and this technology would directly benefit a common man when it comes to commercial use. It has already established a beachhead in the economy. The challenge is the mass production through economical routes. In this paper, we will present a novel and bio-safe synthesis of hexagonal zinc oxide (ZnO) nanostructures at very low temperature of ~120oC simply by using metallic zinc foil and de-ionized (DI) water without harmful organics. The technique does not require of any additives, surfactants or toxic chemicals. The synthesized ZnO products were characterized in terms of their structural and optical properties. The EDS and XRD pattern confirmed the composition and crystallinity of the grown nanostructures and revealed that the grown products are pure ZnO with the wurtzite hexagonal phase. The reported method is new, economical, fast, environmentally benign and free of toxicity, which will make it suitable for biomedical applications. Keywords-ZnO; nanorods, X-ray Diffraction, Medicine and Energy
EXPERIMENTAL INVESTIGATION OF THE EXISTING FIRE SURVEILLANCE RESEARCH AND DEVELOPMENT OF A ROBUST FIRE DETECTION SYSTEM

Fire surveillance has always been a significant research topic in safety engineering. With the rapidly emerging technology, many developments in the fire detection system have been made. There are two prominent types of fire detection systems generally used: (a) Multi – sensor-based fire detection system (b) Motion analysis and video-based technique. These two methods have many subdivisions, differing in the proposed mechanisms. The first part reviews different detection systems proposed to date and assesses the associated mechanisms. Overall it is shown that, despite the literature published in the fire detection systems, there are major data gaps in the development of an optimal system. This points to a need for a strategically planned algorithm for the fire detection system. The second part focuses on developing a multi-criteria algorithm for fire detection. Unlike the prior works done, the proposed system makes use of the optimality of various fire detection systems proposed, and a highly accurate, fail-proof algorithm is developed.
Performance of MSMe On Community Welfare (Case Study of MSMe Women in Bambu Kuning Market Bandar Lampung)

In general, the development of Micro, Small and Medium Enterprises (MSMEs) still faces many obtacles, besides the challenges for MSME women are limited time and space related to the dual role of women in business and family. From previous studies found that women have a lower level of financial knowledge than men. The purpose of this study was to determine the performance indicators of MSME women in the Bambu Kuning Market towards the welfare of the community. The performance in this study used indicators of financial literacy, education level, entrepreneurial orientation, independence, emotional intelligence, motivation, financial aspects, and the ability to prepare financial statements. The results showed that independence, emotional intelligence, motivation, and the ability to compile financial reports had a significant effect on the performance of MSME women in the Bambu Kuning Market, while financial literacy, education level, entrepreneurial orientation, and financial aspects did not significantly influence MSME performance. However, in general, the performance of MSME women in the Bambu Kuning Market influenced the welfare of the community. This indicates that the unique abilities of MSME women in the Bambu Kuning Market play a role in improving people’s welfare.
An Acute toxicity profile of Tramadol on Rattus norvegicus – A case study of up and down regulations and Psychobiotic clinical approach

In recent years, many opioids are enter into the human life, among them one of the widely used popular opioid, that is extremely recommended for effective analgesic agent to treat more severe acute and chronic pains are named as Tramadol hydrochloride. On using the long-term and higher doses of Tramadol induce seizures might be Serotonin syndrome and acute renal failure etc. The aim of the present study is to investigate the acute lethal dose (LD50) of the Tramadol through oral administration in Rattus norvegicus by Dixon’s Up and Down LD50 method. This method improves the performances and accurate results for estimating the toxicity and also the notable on reduction of test animals for using the LD50 determination. The current study shows the significance of Psychobiotic that could reduce the toxicity of opioid effects. Lactobacillus helveticus MCC 2036 was shown astonishing mark on reduces lethal toxic effects of tramadol while comparing lethal and control groups. The present investigation, Oral administration of Tramadol LD50 dose along with Psychobiotic therapy were compared with control group at weekly intervals of short and long period effects, assess by the changes on behavioral characters with their mortality signs of each animal, Biochemical profiles and Histological modifications on brain, liver and kidney tissues.
Sensor-based Data Fusion for Multimodal Affect Detection in Game-based Learning Environments

Affect detection is central to educational data mining because of its potential contribution to predicting learning processes and outcomes. Using multiple modalities has been shown to increase the performance of affect detection. With the rise of sensor-based modalities due to their relatively low cost and high level of flexibility, there has been a marked increase in research efforts pertaining to sensor-based, multimodal systems for affective computing problems. In this paper, we demonstrate the impact that multimodal systems can have when using Microsoft Kinect-based posture data and electrodermal activity data for the analysis of affective states displayed by students engaged with a game-based learning environment. We compare the effectiveness of both support vector machines and deep neural networks as affect classifiers. Additionally, we evaluate different types of data fusion to determine which method for combining the separate modalities yields the highest classification rate. Results indicate that multimodal approaches outperform unimodal baseline classifiers, and feature-level concatenation offers the highest performance among the data fusion techniques.
Average daily metabolic rate, reproduction and energy allocation during lactation in the Sundevall Jird Meriones crassus

1. Non-reproducing Sundevall Jird ( Meriones crassus ) females (body mass = 84 g; n = 51), with a mean average daily metabolic rate (ADMR) of 88 kJ day − 1 , were divided into three groups: high (H), medium (M) and low (L) ADMR. It was hypothesized that ADMR is related to reproductive rate and predicted that the H group could support a higher reproductive rate than the L group. It was also hypothesized that allocation of energy differs with ADMR level and predicted that the H group would use mainly the reallocation of metabolizable energy to compensate for an increased energy demand for reproduction whereas the L group would increase their metabolizable energy intake markedly. To test the hypotheses, the females were mated and, in those that had litters ( n = 32), changes in body mass and metabolizable energy intake were determined and milk production was estimated during 15 days of lactation. Litter size, offspring mass and growth rate were determined for pups. 2. Body mass of dams, litter size and body mass of young at birth were similar among ADMR groups. However, milk production was 42% higher and litter mass at 15 days was significantly greater in the H than in L group, supporting our first hypothesis. All females were in negative energy balance during lactation. Mobilization of body energy reserves increased with litter size but was similar among ADMR groups. In addition, the increase in metabolizable energy intake of lactating females above that of nonreproducing females was similar among ADMR groups and therefore the second hypothesis was rejected. 3. ADMR was reduced by 23% during lactation and milk energy was only 30% of total metabolizable energy invested in milk production in all females. It is concluded that lactating M. crassus used a combination of reallocation of energy and increased metabolizable energy intake during lactation. The efficiency of offspring production did not differ among ADMR groups and therefore a high ADMR has an advantage when food is abundant, whereas a low ADMR has an advantage when food is sparse.
Title and sponsors: Multicentre validation of Hemodynamic MTS biomarkers from preoperative and postradioteraphy MRI in Patients with Glioblastoma: predictors of overall survival

Title and sponsors: Multicentre validation of Hemodynamic MTS biomarkers from preoperative and postradioteraphy MRI in Patients with Glioblastoma: predictors of overall survival. Juan M García-Gómez1, Fernando Aparici2, Carlos Botella2, Jose Muñoz2, Elies Fuster-Garcia1, Javier Juan-Albarracín1, Raquel Faubel1, Sabina Asensio1. 1 Biomedical Data Science Lab. Universitat Politecnica de Valencia. 2 Hospital Universitari i Politecnic La Fe Valencia.
Dividend Decisions of Chemical Industry in India

This paper seeks to analyse the dividend payout trends and discover the factors affecting dividend policy in chosen companies from the Indian Chemical Industry. While analyzing the dividend policy of the selected organizations, the Dividend Payout Ratio has been used as the indicator of the dividend policy adopted by the organizations under study. The current study measures the influence of various factors such as current ratio, Profitability, operating cash flow per share, Corporate Tax, Debt to Equity Ratio, Firm Size, Growth, Tangibility and Earning Volatility on the Dividend Payout Ratio. Regression analysis indicated that cash flow, current ratio, size, growth and tax have positive significant influence with dividend payout ratio while profitability, debt to equity ratio, earning volatility and tangibility have negative significant influence.
Programmatic Effect of Optimized Smali Code on Saving Energy of Android Applications

This paper presents the effect of saving Android application execution time on saving energy consumed by optimized applications. An algorithm for optimizing instructions on a Smali code-level proposes to provide execution time. The Smali optimization algorithm relies on replacing high execution times instructions with lower execution times ones and equivalent in behavior. MySMALI compiler is designed to support the proposed optimization algorithm and applied on Android applications. Optimized APK files are generated for optimized applications. Measurements of APKs execution times are taken. Measurements prove that the percentage of optimization in execution time is approximately 26.27%. The paper provides code-level estimates of the energy consumption of Android applications. A programmatic method about reading operating system files is applied to determine resource consumption by the applications. Energy measurements are also recorded by a power monitor (PowerTutor) for Android-based mobile platforms. The measurements of resources (Memory,
1.7: Impacts

Climate scientists believe that the best projections consider results from state-of-the-science climate models because they are syntheses of theoretical and empirical knowledge. However, as we have learned in the previous chapters, climate models are imperfect. Uncertainties in future projections will therefore arise from both, assumptions about future greenhouse gas emissions and climate model errors.
A Secret Sharing Group Key Management Techniques to Improve Secure Data Sharing of Cloud Storage in Big Data Era

: A cloud-based big data sharing system utilizes a storage facility from a cloud service provider to share data with legitimate users. In contrast to traditional solutions, cloud provider stores the shared data in the large data centers outside the trust domain of the data owner, which may trigger the problem of data confidentiality. This paper proposes a secret sharing group key management protocol (SSGK) to protect the communication process and shared data from unauthorized access. Different from the prior works, a group key is used to encrypt the shared data and a secret sharing scheme is used to distribute the group key in SSGK. The extensive security and performance analyses indicate that our protocol highly minimizes the security and privacy risks of sharing data in cloud storage and saves storage space.
Automated food sorting machine.

This project deals with development of a food sorting machine. The fabricated machine employed food weights as a classification factor to sort the food in different categories. A load cell with rated capacity equal to 2 kg and 1 mv/v sensitivity is employed in measuring system and using hydraulic cylinder. The profiteered load cell output signal is amplified before being applied to the control unit in order to be easily detected by microcontroller. Peak signal to noise ratio (PSNR) criterion is employed to analyze the machine performance which aids its improvement. The PSNR results as well as experimental results specify that vibration could significantly affect machine performance. To overcome this issue, the fabricated machine divided into two parts of measuring and transferring units with separate chassis.
PushPin: towards production-quality peer-to-peer collaboration

Fully peer-to-peer application software promises many benefits over cloud software, in particular, being able to function indefinitely without requiring servers. Research on distributed consistency mechanisms such as CRDTs has laid the foundation for P2P data synchronisation and collaboration. In this paper we report on our experience in taking these technologies beyond research prototypes, and working towards commercial-grade P2P collaboration software. We identify approaches that work well in our experience, such as the functional reactive programming paradigm, and highlight areas in need of further research, such as the reliability of NAT traversal and usability challenges.
MANDIBULAR BONE CHANGES IN POST MENOPAUSAL OSTEOPOROTIC PATIENT AFTER TREATMENT WITH ZOLEDRONIC ACID

The consequences of aging involve the risk of osteoporosis, leading to an impaired quality of life in the elderly patient, especially post menopausal women. Osteoporosis is the leading cause of morbidity and mortality in postmenopausal women. Aim of this changes in post menopausal osteoporotic patient after treatment with Zoledronic acid. 150 postmenopausal osteoporotic patients were selected and divided into two groups: first group was freshly diagnosed osteoporotic patie acid. All patients were evaluated by dual (OPG) and radiovesiograph (RVG). Significant improvement of mandibular alveolar bone occurred in treated group measured by RVG. 83% and 84% of mandibular cortical index were eroded (C2&C3) in osteoporosis and treated osteoporosis respectively. Horizontal bone resorptions of mandibular alveolar bone were less in treated group vs non resorptions were not significantly different in treated and non treated group (12% and 3%). In post menupousal osteoporotic patients, treatment with Zoledronic acid (Bisphosphonate) significantly improved mandibular alveolar bon index by OPG. Post menopausal osteoporosis patient had eroded mandibular cortex.