Miracle-dz/UniFAR-FTUs huggingface dataset:
PD1 – PDL1 Blockade Immunotherapy Applied as a Lung Cancer Treatment: Main Results, Proven Impact and Recent Knowledge Extensions

The ability of lung cancer to evade immunosurveillance is ensured by an “immune deficiency state” leading to a tolerance towards tumoral cell’s antigens. Then, a theory that supports the anti-tumoral role of the immune system, made its strong proof, by individualization of a pathway to suppress this immune tolerance. Tumor cells utilize and, in some cases, are dependent upon some specific signals, “Immune check points” to escape immune-mediated destruction. So, blockade of these IC, such as programmed cell death Ligand-1 (PD-L1) and programmed cell death 1 (PD-1), can reactivate an adaptative immune response against tumoral cells. Rapidly growing data reflected the safety of anti PD-L1 antibodies, and then studies proved a distinguished gain in treatment response, overall survival in patients put on immunotherapy in the second or in the first line treatment compared to conventional chemotherapy recommended for advanced lung cancer. Meta-analyses and reviews tried to define the clinical, histological phenotype and the immunostaining showing the best outcome for this treatment. Ongoing trials have the objective of assessing the safety and the benefit of combined anti PDL1 immunotherapy and chemotherapy. Regarding these results, the widening of the field of studying, anti PD-1/ PD-L1 immunotherapy was a real update of lung cancer management, followed by a total revision of the standard recommendations.
Children’s Perception of Conflict and Conflict Resolution and Impacts of Armed Conflict

This study examined the impacts of war in South Sudan on children’s perception of conflict and conflict resolution. Data were secured from key informants, community representatives, parents, and children through FGDs, interviews and questionnaires. Synthesis of data from these different sources indicated that gender-related offences, conflict over grazing land, violence and communication problems were noted to predate or extend conflicts. Distinctive features of these conflicts included employing more violent methods in conflict management, group and tribal conflicts being common occurrences as an extension of past enmity, present individual/group discords, and even playful acts. The armed conflict seemed to impact on children become more violent, disobedient, and difficult to communicate with particularly compared to their parents as children and other children living in a war-free neighboring zone. These concerns were still more serious among former child soldiers than community children. Of course, children also tended to endorse non-violent methods of conflict resolution apparently promising a move towards recovery through time. Implications were drawn for interventions to scaffold these promising initiatives.
4 th Generation SCADA Implementation for Automation

: SCADA [1] is the acronym that stands for Supervisory Control and Data Acquisition system [2]. Acquiring data in real-time, it can impose supervisory control over the module to monitor and manage states. It comprises of gathering data, exchanging it back to a centralized system, completing essential investigation and control, and after that showing this information on various administrator screens. This paper mainly focuses on the architecture to build a 4th generation SCADA Unit with voltage regulation for automation (Internet of Things) [3] which uses cloud topology to build a scalable and a reliable system. A cloud controlled [4] system which can be operated remotely by using internet which provides maximum flexibility in operation of the unit as well as a solid platform in cloud based automation.
A Pseudo-TOF Based Streamline Tracing For Streamline Simulation Method In Heterogeneous Hydrocarbon Reservoirs

In this study, a modified model to trace streamlines in two-dimensional incompressible fluid flows through porous media is proposed. This modification improves the speed of the standard streamline method using a self-consistent approach, where a combination of backward and forward tracing algorithms is applied based on a pseudo-time-of-flight mapping calculated on corresponding underlying grids. This model covers all the Eulerian (background) grid-blocks with an optimized number of streamlines while meeting a given accuracy criterion. Compared to the conventional streamline methods, it is also shown that the efficiency (i.e. overall speed of the simulation) of the modified streamline method enhances as the domain complexity and heterogeneities increase. KEYWORDSReservoir simulation, Streamline method, Backward and Forward Streamline tracing, Pseudo time-of-flight, Missed Grid Block -------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 23-03-2018 Date of acceptance: 07-04-2018 -------------------------------------------------------------------------------------------------------------------------------------
Outlier Detection in WSN-A Survey

— In the field of wireless sensor networks, the measurements that deviate from the normal behaviour of sensed data are taken to be as outliers. The potential sources of outliers can be noise and errors, events, and malicious attacks on the network. This paper give an overview of existing outlier detection techniques specifically developed for the wireless sensor networks. Also, a technique-based taxonomy will be discussed with characteristics of outlier data such as data type, outlier type, outlier identity, and outlier degree.
Internet of Things: A Structured System with Research Challenges and Future Directions

The Internet of Things (IoT) is a computing phenomenon that extends internet interactivity beyond traditional devices like desktop and laptop computers, smart phones and tablets to a diverse range of devices, machines, everyday objects and everyday things that utilize embedded technology to communicate and interact with the external environment, all via the internet. IoT provides innovative services, new sources of revenue that gives better efficiency and productivity. This thesis work presents an implementable IoT structural system model described as layered architecture, technological challenges related to the structure and future research areas in the domain of IoT. Keywords---Internet of Things (IoT), Layered Architecture, Protocols, Smart Things
ANOMALY DETECTION IN MOBILE ADHOC NETWORKS (MANET) USING C4.5 CLUSTERING ALGORITHM

Mobile adhoc networks, abbreviated as MANETs are more vulnerable to various attacks than other types of networks. This is because of natural properties of MANETs such as dynamic topology, ever changing infrastructure and lack of central controller. Hence detecting anomaly behaviours in MANETs is a challenging task and this topic has attracted many researchers. In this paper, clustering method based anomaly detection method is proposed. The method uses C4.5 clustering algorithm to classify the events as normal or abnormal. The proposed method works in three phases viz. training, detection of anomaly behaviour and identifying the type of attack. The proposed method uses 141 features of network to identify the attacks. The experiments were conducted on NS2 simulator and results show that the proposed method is effective in detecting anomalies. Moreover, False Alarm Ratio (FAR) is also low which ensure that the detected anomalies are real
Suicidal Ideation and its Correlates in Patients of Alcohol Dependence Syndrome

Introduction: Risk of suicide among addicts is higher than in the general population and patients of alcohol dependence are not exception. The large population of individuals with alcohol use disorders, the relative higher frequency of suicides and suicide-related behaviours in this population, and the devastating effects of attempted and completed suicides on individuals, families, and society make this a topic of immense importance. This study aims to find out suicidal ideation and different factors associated with it among patients of alcohol dependence who visited Psychiatry OPD. Material and Methods: The study sample consisted of 50 consecutive male patients of alcohol dependence syndrome who visited Psychiatry OPD and were neither in withdrawal state nor in acute intoxication. A similar number of age, sex and education level matched healthy persons were kept as control. After obtaining informed consent, both study sample and control subjects were assessed for suicidal ideation, depression and anxiety with the help of ‘Scale for Suicidal Ideation (SSI)’, ‘Beck’s Depression Inventory-Short Form (BDISF)’ and ‘State-Trait Anxiety Inventory (STAI)’ respectively. Results: In comparison to normal controls, the patients of alcohol dependence syndrome had significantly higher mean scores on the SSI (t=2.858, df=98, p<0.01), BDI-SF (t=3.082, df=98, p<0.01) and the State subscale (t=3.465, df=98, p<0.01) as well as the Trait subscale (t=3.508, df=98, p<0.01) of STAI. In comparison of control subjects, significantly more number of the patients had clinically significant suicidal ideation (χ2=9.470; df=1; p<0.01) as well as clinically significant depression (χ2=18.316; df=1; p<0.001). A significant positive correlation of suicidal ideation (SSI total score) was found with SADQ total score (r=0.835, p<.001), BDI-SF total score (r=0.934, p<.001), STAI-State score (r=0.952, p<.001), and STAI-State score (r=0.921, p<.001) in the patients (N=50). Conclusion: Overall, the male patients of alcohol dependence syndrome had significantly higher suicidal ideation, depression and state and trait anxiety scores as compared to normal controls. A statistically significant positive correlation of suicidal ideation was found with levels of depression, anxiety as well as severity of alcohol dependence in the patients. These issues should carefully be enquired for during therapy and follow up of patients with alcohol use disorders.
An Improved Technique for Complex SAR Image Compression Based on FFT and Discrete Wavelet Transform

: SAR images are different from optical images in many ways. Therefore, the traditional compression methods, which have been used for compression, are not so efficient for the compression of the SAR images. Generally, 2-dimensional Fourier transform (2D-FT) is used for representing a complex SAR image. But, the energy of the coefficients of 2D-FT on the complex SAR image distributes in the whole frequency domain also. Typically, the frequency signals are divided into two parts, i.e., real and imaginary parts. A Wavelet transform gives very strong de correlation ability and can be used for local analysis in time and frequency with different scales. Wavelet transform have also been applied to complex SAR image compression, as it is suitable for non-stationary signal processing. We have embodied the wavelet transform with SPIHT for compression of SAR images. Also FFT is used for converting the complex SAR image into a real image before applying it to DWT. In particular, we have used Le Gall 5/3 biorthogonal wavelet for calculating the wavelet transform.
Military IoT System for Air Pollution Detection and Power Management

This paper presents an Internet of Things (IoT) sensor node and solar panels aimed at maintaining the toxic air partials for safety applications via IoT and Rf module and power management using solar panels. In existing system all are concentrating only on monitoring the air particles but in our project IoT wireless technology is using and solar panels using for power management solar panels play very important role in this project. If air pollutants rate is increases in environment it causes the disease for the human beings like headache, asthma, cough etc. therefore sensor node will gather the environmental data and then send to the cloud server. data reading will send from cloud server to application then it alters the user at that time, power will be going to use only at the observing the data remaining time the sensor will sleep and for power solar panels are using.
Microbial Qualities of Swimming Pools in Lagos, Nigeria

Twenty different swimming pools in Lagos, Nigeria, were investigated for their microbial qualities. Water samples from the swimming pools were serially diluted and dilution factors of up to 10 -8 were cultured on the appropriate agar media. The pour plate technique was adopted using standard plate count agar for the determination of the total heterotrophic bacterial and fungal counts. Bacterial and fungal isolates were identified using standard methods. Bacterial isolates include Enterococcus faecalis, Clostridium perfringens, Bacillus cereus, Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus, Proteus vulgaris and Staphylococcus epidermidis, while fungal isolates were Penicillium sp, Rhizopus sp, Aspergillus versicolor, Fusarium sp, Trichophyton mentagrophytes, Mucor sp, Candida albicans, Aspergillus niger and Absidia sp. The mean heterotrophic bacterial count ranged from 3.0x10 6 cfu/ml which occurred in sample R, to 6.6x10 7 cfu/ml in sample Q while the mean coliform count ranged from a nil count/100 ml to 1.7 x 10 7 cfu/100 ml (sample S). Fungal counts ranged from a nil count/ml to 2.0x10 7 cfu/100 ml in sample F. In conclusion, the presence of high levels of coliform and fecal coliform bacteria (E. coli) revelaed that the swimming pools have not met the World Health Organization (WHO) standard for recreational waters. The swimming pools constitute a serious public health hazard, thus necessitating urgent and effective intervention.
Analysis and Design of a Three-Phase PLL Structure

A phase-locked loop is really a feedback system combining a voltage controlled oscillator (VCO) and a phase comparator so connected that the oscillator maintains a continuing phase angle in accordance with a reference signal. To be able to synchronize two power generation systems with equal frequencies; synchronism must occur while voltages' phase angles of the systems will be the same. Phase angle of a threephase system is set via phase locked loops. If three input phases are balanced, then custom phase locked loops detects phase angle appropriately. In present paper, a phase locked loop with proper controller is proposed which detects phase appropriately in balanced situation of input phases. Keywords— Static Switch; Synchronization; Phase Angle; Phase Locked Loop (PLL)
Tumour Necrosis Factor and Sperm Nuclear DNA Integrity in Semen of Infertile Males

Background: TNF is a proinflamatory cytokine that has recently been blamed to cause male infertility. Pathologically high levels Sperm DNA fragmentation has emerged as a potential causative factor of reproductive failure as well as failure to conceive with intra-cytoplasmic sperm injection (icsi). Anti-sperm antibodies (ASA), varicocele (VC), and genital Infection with or without inflammation & leukocytospermia can cause male infertility directly or indirectly through pathologically increasing TNF. Aim of the work: This study aims to evaluate seminal levels of TNF-α in correlation with sperm parameters and sperm nuclear DNA integrity in infertile males. Methods: A Total of 80 male subjects with ages ranging from 25-50 years were included in this study. 40 infertile males compared with 40 healthy fertile males. Patient groups were subdivided into group (A) Varicocele, group (B) leukocytospermia, group (C) genital infection, and group (D) antisperm antibodies. All patients groups were subjected to the following. Seminal fluid TNF-α, COMET assay for sperm nuclear DNA fragmentation, seminal ASA. Lastly seminal analysis to detect sperm parameters, and seminal culture to detect genital infection. Results: TNF-α was increased in all patient groups and correlate significantly with defaults in sperm parameters and sperm nuclear DNA fragmentation. TNF-α were significantly increased and correlated with Varicocele grades genital infection and leukocytospermia. Although TNF-α was significantly increased in patients with antisperm antibody but not correlated. Discussion: TNF has direct role in infertility either through caspase activation and/or increasing both reactive oxygen species (ROS) and nitric oxide (NO). [Ahmed Mohammed AbdelAal, Ibrahim Mohamed Abdel Salam and Mohammed Ibrahim Aref and Mohammed Hassan Wahba. Tumour Necrosis Factor and Sperm Nuclear DNA Integrity in Semen of Infertile Males. Nat Sci 2017;15(7):52-60]. ISSN 1545-0740 (print); ISSN 2375-7167 (online). http://www.sciencepub. net/nature. 7. doi:10.7537/marsnsj150717.07.
Handover Priority to the Data at Knob Level in Vanet

: In vehicular adhoc networks (VANETs) the sensors are used for monitoring to the traffic environment and clearing to the traffic etc . In vehicular adhoc network emergency vehicles are suffered lot due to the traffic occurance. so that umbp is introduced . umbp is the one of the protocol which is specially designed for disseminating to the emergency messages in vanet region. It broadcast to the messages for all the directions such as it broadcast to the emergency messages for entire vehicles present over the vanet environment. So vanet environment iis critically challenged by delay, possibility of some terrorism activity. In this paper we proposed to the concept for assigning priority to the emergency messages by selecting the shortest path to reach the server with the help of dsrc technique . So that the emergency message was quickly reach to the server as well as sender. In real time safety related application it is majorly help for ambulance, fire engine, military vehicles. With the help of my proposed system we can prevent to the accident, we know to the blocked street information previously , To avoid traffic congestion. So we take decisions for changing to the route or path. Analysis and simulation result shows that the our proposed method is significantly improves that the performance such as delay, message propagation speed, message reception rate.
MULTIMODAL MEDICAL IMAGE FUSION IN NSCT BASED ON PHASE CONGRUENCY AND REGIONAL ENERGY

Image fusion is a technique that integrate complimentary details from multiple input images such that the new image give more information and more suitable for the purpose of human visual perception.Multimodal medical image fusion has developed with the advent of various imaging modalities in medical imaging. The main motivation is to capture most relevant information from sources into a single output, which plays an important role in medical diagnosis. In multimodal medical images based on non-subsampled contourlet transform (NSCT) the source medical images are first transformed by NSCT followed by combining low- and high-frequency components. Two different fusion rules based on phase congruency and regional energy are proposed and used to fuse low- and high-frequency coefficients. Finally, the fused image is constructed by the inverse NSCT with all composite coefficients.
Implementation of a Secure Data Mining Technology to Develop Aknowledge Based System in a Business Environment

Because the advancement of the internet, several small and large firms have developed their dealings with customers to offer goods through the internet worldwide. Online credit ‐ card deception or no card present deception is gradually rampant in the latest years because that the credit ‐ card is mainly exploited to demand payments by these firms on the internet. So it is necessary to verify safe transactions for credit-card holders when consumption their credit cards to do online payments for merchandise and facilities offered on the internet is a critical issue. Data mining has widely obtained recognition in struggle online credit-card deception thanks to its efficient artificial intelligence (AI) methods and algorithms that can be applied to identify or forecast deception through Information Detection from uncommon behaviour resulted from collected data. In this research, a system’s model for online credit card fraud detection is discussed and designed. This system implements and tested using Data mining to detect fraud in a real time transaction on the internet, and thereby classifying the transaction as legitimate, and illegitimate transaction.
Flexible RTS and Concurrent Transmission Schemes for Reducing Exposed Node Problem in 802.11 WLANs

Hidden and exposed nodes are the problems that occur in IEEE 802.11 wireless local area networks. The hidden node problem is mitigated in such network using RTS/CTS mechanism provided by IEEE 802.11. Since then the IEEE 802.11 standard has been improved several times. The recent standard 802.11n supports multi-rate transmission. However, the problem with this is that there is significant difference between data rate and control frame rate and their coverage. Due to this, the RTS/CTS method which is meant for reducing hidden node problem actually causes exposed node problem. An exposed node is the node which is located outside the transmission range of receiver node but within the transmission range of sender node. When such nodes receive RTS from sender nodes, they have to wait until CTS and ACK from the receiver. Thus the performance of the network is deteriorated in terms of throughput. Adjusting RTS/CTS transmission rates and optimizing throughput is the area less explored in IEEE 802.11 networks. In this paper, we proposed two methods of reducing exposed nodes. First method explores RTS/CTS dynamics in terms of adjusting RTS transmission range to optimize the network throughput besides reducing exposed nodes. The second method lets nodes to identify themselves as exposed nodes based on the sequence of packets and opportunistically schedule concurrent transmissions. Empirical results through NS2 simulations revealed that the proposed methods are capable of increasing throughput by reducing exposed nodes effectively.
Moving beyond the narrow icon of criminal atavism: Cesare Lombroso as physician-philosopher and hypnotist in the sociocultural context of 19th century

This article stems from the need for restoring some relevant but skipped aspect of Lombroso’s figure, especially his huge interest in hypnosis, an essential step for a more objective historical reenactment of his thought. Lombroso’s wide range of interests, including psychiatry, anthropology and sociology, made him a great physician-philosopher embodying the positivist stance of his time. Hypnosis, he studied and practiced for over 20 years, was a relevant aspect of his profile. His view of hypnosis was sound and modern, overcoming the Charcot’s (wrong) pathological interpretation of hypnosis as a form of experimental hysteria. He also moved beyond his initial theory of atavism, including psychological and cultural factor in criminality and holding a progressive system. *Correspondence to: Enrico Facco, Department of Neurosciences, Chair of Dental Anesthesia, University of Padua, Via Giustiniani 2, 35128 Padua, Italy, Tel: +39 0498212040; E-mail: enrico.facco@unipd.it
A Seamless Adaptive Mobility Management Scheme for 4-G Network

Summary The evolution of IPVv6 -Core based Mobile communication system is conceptualized with various factors of scalabilities, convergence and availability in true sense, which is the goal of fourth generation ( 4G ) mobile network. One of the main objectives of 4G network is to bring a convergence of Internet domain and telecommunication with better quality of service ( QoS ) provisioning to all its mobile users. Therefore design of an adaptive protocol for seamless handoff synchronized with non linear mobility pattern is an active research issue. This paper introduces a novel scheme called Reduced Registration Time Care-of Mobile IP ( RRTC: MIP ). RRTC: MIP introduces architecture of adopting care-of address of home network in more optimized way in order to reduce the registration time, which in turn reduces the handoff latency. The proposed scheme is simulated in discrete time simulator OMNeT + + . The performance parameters like network Registration time, Handoff -latency versus mobility is evaluated and compared with the existing MIPv6 . The efficiency of proposed RRTC: MIP is found better than MIPv6 .