Miracle-dz/UniFAR-FTUs huggingface dataset:
Can NLR/PLR/CEA be a marker for predicting a complete pathological response in locally advanced rectal cancer?

Hüseyin Çiyiltepe1, Ebubekir Gündeş2, Durmuş Ali Çetin3, Ulaş Aday4, Emre Bozdağ5, Selçuk Gülmez6, Orhan Uzun6, Aziz Serkan Senger6, Erdal Polat6, Mustafa Duman6 1Department of Gastroenterological Surgery, University of Health Sciences, Istanbul Fatih Sultan Mehmet Training and Research Hospital, Istanbul 2Department of Gastroenterological Surgery, University of Health Sciences, Diyarbakır Gazi Yaşargil Training and Research Hospital, Diyarbakır 3Department of Gastroenterological Surgery, University of Health Sciences, Tepecik Training and Research Hospital, İzmir 4Department of General Surgery, University of Dicle, Diyarbakır 5 Department of Gastroenterological Surgery, University of Health Sciences, Istanbul Kanuni Sultan Süleyman Training and Research Hospital, İstanbul 6 Department of Gastroenterological Surgery, University of Health Sciences, Istanbul Kartal Koşuyolu High Speciality Training and Research Hospital, Istanbul, Turkey Prognostic markers on complete pathological response in rectal cancer Can NLR/PLR/CEA be a marker for predicting a complete pathological response in locally advanced rectal cancer?
To evaluate the tests of antepartum fetal surveillance for predicting adverse perinatal outcome in pregnancy with IUGR

IUGR is one of the most common pregnancy complications which substantially increase risk of adverse neonatal outcome. The sequelae of IUGR include stillbirth, neuro-developmental delay in childhood and high risk of diseases like hypertension, diabetes in adulthood. Therefore, IUGR in pregnancy warrants intensive antepartum fetal surveillance to ensure optimal perinatal outcome.To evaluate the tests of antepartum fetal surveillance like AFI, BPS and Doppler ultrasound, alone and in combination for predicting adverse perinatal outcome in pregnancy with IUGR.This was a prospective observational study done on 100 pregnant IUGR women > 34weeks of gestation, at a tertiary care centre in Karnataka, from June 2017 till December 2018. They were monitored by tests of fetal surveillance like Amniotic Fluid Index (AFI), Bio Physical score (BPS) and Doppler ultrasound. Tests done within 48 hours before labour and its relation to perinatal outcome were assessed. Continuous data such as age, height, weight were described by mean and standard deviation. The sensitivity specificity, positive and negative predictive value were calculated for each test.The statistical difference between the normal and abnormal tests of antepartum fetal surveillance in relation to perinatal outcome was significant. Diagnostic accuracy of Doppler was 67%, BPS and AFI was 69%. In case of combination of findings of BPS and Doppler, the accuracy rose to 75%. Biophysical profile was most reliable diagnostic method than Doppler in predicting adverse outcome. Sensitivity increased when BPS and Doppler was combined which is beneficial in predicting perinatal outcome.
PREDICTING THE MEMORY REQUIREMENTSFOR EFFICIENT DEDEPLICATION IN CLOUD ENVIRONMENT USING DEFENSIVE SCHEME IN VULNERABLE PROCEDURE

- Cloud Computing turned into an ideal solution for business clients to maintain and elevate their business needs to clients by means of cloud services like IaaS, SaaS, and PaaS. On Demand and pay-per-use (scale up) procedures pulled in organizations for cloud adoption and migration. Because of the increased demand for cloud services from clients, Efficient Resource Management in cloud computing become an important errand. To accomplish asset multiplexing in cloud computing, recent investigates were introduced dynamic asset allocation through virtual machines. This paper proposes a novel strategy for Predicting the Memory Requirements for Efficient De-duplication in Cloud Environment and Defensive scheme for vulnerable de-duplication Procedure. Experimental outcomes are supporting in this system is more scalable and dependable than existing methodologies.
Corporate Governance, Board Structure and Firm Value: A Review of Literature

This paper reviews both theoretical and empirical literature on the relationship between board structure and firm value. Focusing on the theoretical literature it provides an overview of the dominant theories on the board structure –firm value debate. The review reveals that although agency and the resource dependency are the main theories, they do not provide a comprehensive explanation of the effect of board structure on firm value. Further, the empirical review shows that documented evidence does not provide conclusive results on the association between corporate governance, board structure and firm value. Additionally, the methodologies adopted in the reviewed empirical studies differ. Further, most of the studies are concentrated in developed and emerging economies while developing countries tend to be lagging behind. In view of the differences in methodologies and the inconclusive evidence, this paper concludes that the debate on the relationship between board structure and firm value is far from over. Consequently, the paper suggests that further studies need to be carried out using more advanced techniques and focusing on developing economies
Staphylococcus aureus, ESKAPE Bacteria Challenging Current Health Care and Community Settings: a Literature Review.

BACKGROUND Staphylococcus aureus is a gram-positive coccus forming grape like clusters performing both aerobic and anaerobic respiration. Most strains of S. aureus ferment mannitol and they form characteristic golden yellow colonies. They produce catalase, coagulase, and extracellular cell clumping factor. Some strains can also produce capsules. It is a major commensal bacterium and a human pathogen that causes a wide range of clinical infections including abscesses of various organs, pneumonia, osteomyelitis, endocarditis, arthritis, and sepsis. S. aureus is the key organism for food poisoning and it is the third most important cause of food borne disorders in the world. METHODS We reviewed all the relevant literature available on PubMed, Web of Science, and Google Scholar. We selected different scientific studies and reports published in English language which addressed prevalence, pathogenesis, burden and laboratory diagnosis methods of S. aureus to compile the current review. RESULTS Staphylococcus aureus has an outstanding ability to acquire resistance to most classes of antimicrobial agents. This successful and adaptable resistance has made treatment and control of staphylococcal infections increasingly difficult. Expression of virulence factors of S. aureus is controlled by bacterial cell density and many environmental factors such as pH, oxygen, and carbon dioxide. There are different mechanisms that microorganisms use to prevent attack by antimicrobial agents. These include limiting uptake of the drug, modification of the drug target, inactivation of the drug, and active efflux of the drug. Specimens collected for diagnosis of S. aureus infection depend on the type of infection. The samples for diagnosis are pus, sputum, blood, feces, vomit and the remains of suspected food, and nasal swab for the detection of carriers. Gram stain, culture, biochemical tests, serological tests and molecular techniques are the common laboratory diagnosis methods. CONCLUSIONS AND RECOMMENDATIONS Multidrug resistant S. aureus strains are emerging and current antibiotics are not efficacious against such strains. Both active and passive immunization strategies have thus far failed to show efficacy in humans. Therefore, infection preventive measures, and further research is required to develop vaccines and antibiotics to target this pathogen.
Intelligent distributed surveillance system for people re-identification in transport environment

This paper presents a solution to track people across a network of cameras with disjoint fields of vision. Firstly, an appearance-based signature is extracted from each frame of the sequence characterizing the passage of a person. This feature, called “colour-position” signature, merges spatial and colour information for improved robustness. Moreover, an illuminant invariant procedure has been introduced to manage lighting and camera response changes. Secondly, the distance between two sequences is estimated thanks to dimensionality reduction techniques. Two methods are implemented and compared. The first one is the classical, linear, Principal Components Analysis, while the second one is a recent non-linear method called Laplacian Eigenmaps approach. Results from two databases acquired in difficult conditions, show that the Laplacian Eigenmaps method always yields the best results, which confirms the interest of non-linear approaches in such applications. Moreover, these results show the relevance of this approach combining appearance-based signature and dimensionality reduction technique within the scope of people tracking across distinct fields of vision.
Comparative Study of Purple Rice and Green Rice for Salt Stress Sensitivity

Most. Aynun Nahar, Mst. Nur-E-Nazmun Nahar, Md. Yeasin Prodhan, Md. Anamul Hoque, Md. Shazadur Rahman 1Department of Biochemistry and Molecular Biology, Hajee Mohammad Danesh Science and Technology University, Dinajpur 5200, Bangladesh 2Department of Soil Science, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh 3Department of Agricultural Chemistry, Hajee Mohammad Danesh Science and Technology University, Dinajpur 5200, Bangladesh
Serotonin Levels in the Serum of Persons with Onchocerciasis-Associated Epilepsy: A Case-Control Study

Onchocerciasis-associated epilepsy (OAE) is a devastating childhood disorder occurring in areas with high Onchocerca volvulus transmission. Despite epidemiological evidence showing the association between O. volvulus and epilepsy, the underlying mechanism remains unknown. Since high levels of serotonin are known to induce seizures, we investigated serotonin levels in persons with OAE and controls selected from the Democratic Republic of Congo. Serum serotonin levels were determined by ELISA in 19 persons with OAE, 32 persons with epilepsy without O. volvulus infection, 18 with O. volvulus infection but without epilepsy, and 35 with neither O. volvulus infection nor epilepsy. O. volvulus infection was diagnosed by skin snip testing and/or OV16 antibody detection. Serum serotonin levels were significantly decreased in persons with OAE compared to persons with O. volvulus infection and no epilepsy. In conclusion, an increased serotonin level is unable to explain the pathogenesis of OAE. Other hypotheses to identify the causal mechanism of OAE will need to be investigated.
THE ROLE OF ORGANIZATIONAL COMMITMENTS MEDIATING THE EFFECT OF ORGANIZATIONAL JUSTICE ON OCB

The purpose of this study was to determine the role of organizational commitment to mediate the effect of organizational justice on organizational citizenship behavior. This research was conducted at the Pecatu Village Credit Institution, Badung Regency. The number of samples taken was 50 employees, with a saturated sampling method. The data was collected through interviews and questionnaires. The analysis technique used is path analysis. Based on the results of the analysis, it was found that Organizational Justice had a positive and significant effect on Organizational Citizenship Behavior in the LPD Desa Adat Pecatu. Organizational Justice has a positive and significant effect on Organizational Commitment. Organizational Commitment has a positive and significant effect on Organizational Citizenship Behavior. Organizational Justice has a positive and significant effect on Organizational Citizenship Behavior in the LPD Desa Adat Pecatu by mediating Organizational Commitment.
Audio Emotion Recognition with Noise Reduction

​ —In this paper, we analyze and predict the emotion of speech audios after noise reduction. We first reduce noise in speech signals by applying spectral subtraction. Then we extract Mel-Scale Frequency Cepstral Coefficients(MFCC) features, which is recently the dominant feature for speech recognition. We use a convolutional neural network(CNN) and a long short term memory network(CNN-LSTM) to train the audios. Finally, to make the model more efficient in practice, we customize Dense and Conv2D layers via pruning neurons. We show that the prediction time decreases while accuracy remains at the same level.
Interaction and Query Expansion: A User-Oriented Evaluation of an Interactive Information Retrieval System

The purpose of query expansion is to make an initial query more closely match documents that will be relevant to the user, and therefore make retrieval of such documents more likely (Smeaton 1998). There is evidence to suggest that automatic query expansion, where the system selects appropriate expansion terms, has higher retrieval effectiveness than interactive query expansion (IQE), where a user selects appropriate expansion terms. This may be due to a range of reasons, a significant one being that users may not have enough familiarity with query expansion to discern between appropriate and inappropriate terms. However, users welcome the opportunity to have control over what happens in their search, which means IQE can make a significant and useful contribution to a user’s interaction with an information retrieval system. CiQuest is an information retrieval system that utilises IQE on the user interface by a hierarchically organised menu of expansion terms. Previous work on the system has measured the retrieval effectiveness of alternative presentations of terms, and has gathered some user impressions of the system. This study aims to build upon this research with greater emphasis upon observation of user behaviour with the system and expansion tool, their cognitive plan while searching, their impressions of the expansion terms offered and general system impressions. A user-based evaluative experiment gathered data concerning these aspects, where 12 participants completed 3 search tasks each (based on TREC-8 Interactive Track methodology). Participants were observed and interviewed during the experiment. 86% of searches utilised the expansion tool, with participants on average using the tool 5 times per search. Term choices were placed in 4 categories; obvious, knowledge-based, related and new. A large amount of term selections were of ‘new’ terms, and participants stated that the main influence upon term choice
University of Birmingham A novel low-temperature fabrication approach of composite phase change materials for high temperature thermal energy storage

Phase change materials (PCMs) are generally integrated into matrix materials to form shape-stabilized composite heat storage materials (HSMs) used for high temperature thermal energy storage applications. The conventional fabrication of composite HSMs is prevalently implemented at quite high temperatures, which is energy-intensive and narrows down the range of applicable PCMs because of thermal decomposition. Therefore, this paper establishes a novel fabrication approach to accomplish highly dense matrix to encapsulate PCMs at an extremely low temperature based on the recently developed cold sintering process. The feasibility of the proposed approach was demonstrated by a case study of NaNO 3 /Ca(OH) 2 composite HSMs. It was observed that the Ca(OH) 2 matrix formed dense microstructure with obvious sintered boundaries and successfully encapsulated NaNO 3 as PCM. The HSMs maintained stable macroscopic shape after hundreds of thermal cycles, and exhibited an energy storage efficiency of 59.48%, little leakage of PCM, good thermal stability. Mechanical tests indicated that the HSMs possessed excellent mechanical properties when the sintering pressure is over 220 MPa. The discharging time of stored heat was presented through infrared thermography, and the heat storage capacity measured for the composite HSMs was over four times as high as those of typical solid storage materials of sensible heat, which demonstrated their decent heat storage performances. The HSMs can be used in the form of packed bed or parallel channel with multi-layered heat storage, which is benefit for efficiently utilizing solar heat and improving the performance of current energy storage system. This study provides a novel route for energy-saving and low-carbon fabrication of shape-stabilized composite HSMs.
Polymerase Chain Reaction Study For Anaplasma Phagocytophilum In Iraqi Cows

The current research was performed in three provinces (Al-Najaf Al-Ashraf, Babylon and AL-Qadisiya) in Iraq to investigate the prevalence of Anaplasma phagocytophilum in cattle. Surveillance was carried out from February to October 2020. A total of 200 of blood samples were randomly collected from cattle from three governorates. The samples were tested for finding of Anaplasma phagocytophilum infection using polymerase chain reaction (PCR) technique using a specific primer(EE1f, and EE2r and nested primers: EE3f, EE4r) and subsequent sequencing of positive samples. The results showed the infection rates of Anaplasma phagocytophilum 15/200 (7.5%). The higher infection rate were 11.4% (80/70) in AL-Qadisiyah and 6.15 %( 4/65) in Al-Najaf Al-Ashraf . Whereas the lower infection rate was 4.61% (3/65) in Babylon samples. The highest infection rate months (May, June and July): 3/29 (10.34%), 4/37 (10.18 %), and 4/34 (11.76%), respectively of infection with Anaplasma phagocytophilum. while the lower infection rate months was 0% in February, March, and October. The higher infection rate was recorded in animals aged more than to three years 9.72% (7/72), from two to three year was 7.40% (6/81) and while lower infection rate 4.68% (3/64) was recorded in animals aged less than 2 year. The rate of infection in females was 8.82% (12/136) more than in males 4.68% (3/64).
Detection of human faces in thermal infrared images

The presented study concerns development of a facial detection algorithm operating robustly in the thermal infrared spectrum. The paper presents a brief review of existing face detection algorithms, describes the experimentmethodologyandselectedalgorithms.Forthecomparativestudyoffacialdetectionthreemethods presentingthreediﬀerentapproacheswerechosen,namelytheViola–Jones,YOLOv2andFaster-RCNN.All thesealgorithmswereinvestigatedalongwithvariousconﬁgurationsandparametersandevaluatedusing threepubliclyavailablethermalfacedatasets.Thecomparisonoftheoriginalresultsofvariousexperiments fortheselectedalgorithmsispresented.
Weed Species Identification in Different Crops Using Precision Weed Management: A Review

Agriculture plays a vital role in societies and requires research, planning, and execution. It is important to research new trends, scientific methods, and boosters that can give a boost it. The farmer can reduce the amount of workload using some technology which is enhancing the quality of cereal. It is important to identify and growth estimation of weed using deep learning technology in the field of convolution neural networks. This review paper is identifying different types of weeds which are harmful to crop and also identify weed controlling mechanism. It is also useful for researchers to assimilate and clustered the weeds using artificial intelligence techniques and machine learning techniques and to study existing technology of weed detection, which is useful for a researcher can propose new techniques for weed classification and detection. This review paper concise the development of weed detection and classification using the most recent technologies in the field of artificial intelligence and image processing techniques. Concretely, the four procedures, i.e., pre-processing, segmentation, feature extraction, and classification is a part of weed detection and classification were presented in detail. Sooner or later, demanding situations and answers furnished by researchers for weed class and detection inside the subject, together with occlusion and overlap of leaves, varying lighting conditions, and specific growth degrees, have been mentioned.
Leveraging Employee Engagement by a Talent Management Strategy

Our purpose to do this survey is to propose a useful model for the talent management strategy and to state typical area and their importance on management and also to employee engage to show how this model can influence the engagement and improve the determination on pool talent and show the role of workplace of democracy in the employee engagement. This survey studies the influence of talent management strategy on the employee engagement. talent management are identified via five factors by Sween (2009); Communications, Employee development, Rewards & recognitions, Rewards & recognitions, Managing performance, Open climate /culture. whereas the employee engagement: are identified by eight factors Job is challenging & meaningful, Have resources to do job, Trust in management, Perceived support from org, Perceived support from supervisor, Rewarded and recognized, Committed to organization, Safe to act. The input of our survey data were gathered from a sample of 207 employees in the Industry, Mine and Trading Ministry in Tehran. This survey data showed that the talent Management Strategy has been effective in all aspects, but in financial management and getting the organization support and also in formality and employee engagement, no meaningful effects were seen. Moreover, workplace of democracy adjusts the role of talent management as an interfere. [Alireza amirkabiri, Hossein Gharehbiglo, Mohammad Mehdi roozbahani Behnam Shadi Dizaji. Leveraging Employee Engagement by a Talent Management Strategy. Am Sci 2021;17(4):51-60]. ISSN 15451003 (print); ISSN 23757264 (online). http://www.jofamericanscience. org. 7. doi:10.7537/marsjas170421.07.
Thermoelectric use in various renewable alternative energy source

Energy and environmental conservation problems are increasing every day. The use of electricity began to experience shortages by about 1.6 billion people. The use of fuel oil (BBM) in road transportation requires a larger number along with the number of means of transportation. On the other hand, there is an inefficient use of energy for some equipment used by humans. Gasoline and electric vehicles generally use inefficient internal combustion engines. About 25% of the combustion results are used for vehicle operations, and 40% is lost to waste heat that is wasted. Waste heat is also wasted on household appliances. Global warming and environmental pollution due to the use of inefficient energy are also increasing. Research by experts on thermoelectrics shows good results in overcoming inefficient use of energy and can provide solutions to energy problems and environmental conservation. Its use is flexible, because it does not require complicated mechanical structures, and is also environmentally friendly. This paper provides a review that reviews the use of thermoelectric in various equipment that produces waste heat energy that has not been utilized optimally.