Impact of Common Property (E.A.) on Fixed Point Theorems in Fuzzy Metric Spaces

We observe that the notion of common property (E.A.) relaxes the required containment of range of one mapping into the range of other which is utilized to construct the sequence of joint iterates. As a consequence, a multitude of recent fixed point theorems of the existing literature are sharpened and enriched

On sequences of contractive mappings and their fixed points

By using a condition of Reich, we establish two fixed point theorems concerning sequences of contractive mappings and their fixed points. A suitable example is also given

Remarks on certain selected fixed point theorems

Fixed point theorems due to Lal et al. (1996) and Jungck (1988) are used to derive two common fixed point theorems involving six mappings in complete and compact metric spaces, respectively

Coincidence and common fixed points of weakly reciprocally continuous and compatible hybrid mappings via an implicit relation and an application

Using the hybrid version of the notion of weakly reciprocal continuous mappings due to Gairola et al. [Coincidence and fixed point for weakly reciprocally continuous single-valued and multi-valued maps, Demonstratio Math. (2013/2014), accepted], we prove a coincidence and common fixed point theorem for a hybrid pair of compatible mappings via an implicit relation. Our main result improves and generalizes a host of previously known theorems. As an application, we give a homotopy theorem which supports our main result

Application of data science for controlling energy crises: A case study of Pakistan

© 2019 Association for Computing Machinery. Today Pakistan is facing numerous challenges for the interconnection of local energy resources and for balanced energy policies. Data Science, Big Data, Artificial Intelligence (AI), IoT and Cloud computing draws our focus towards controlling energy crises in terms of smart energy generation, consumption and to overcome causes of energy crises. To make a conclusion valuable we have to extract significant value from a large amount of data that‟s why data management plays a significant role. This Paper presents a review of energy sectors, energy resources, energy crises in Pakistan. It also presents the possible solution of energy crises with the help of data science application and the involvement of Big Data, Cloud computing, IoT and AI

Some common fixed point theorems in fuzzy metric spaces

Some common fixed point theorems in complete fuzzy metric spaces (in sense of Song [17] and Vasuki-Veeramani [19]) are proved which generalize earlier results due to Vasuki [18], Chugh and Kumar [3] and others. We also introduce the concept of R-weak commutativity of type (P) in fuzzy metric spaces. Some related results and illustrative examples are also discussed

Predictors of appropriate therapy in patients with implantable cardioverter-defibrillator for primary prevention of sudden cardiac death

The purpose of this study was to evaluate predictors of appropriate therapy in patients with implantable cardioverter-defibrillators (ICD) for primary prevention of sudden cardiac death. A retrospective cohort of 321 patients with systolic heart failure undergoing ICD placement for primary prevention of sudden cardiac death was queried with a mean follow-up period of 2.6 years. Appropriate ICD therapy was defined as therapy delivered for termination of a ventricular tachyarrhythmia. Appropriate ICD therapy was delivered in 142 (44%) of the patients. In a multivariate model, body mass index ≥28.8 kg/m2, chronic kidney disease, left ventricular ejection fraction ≤20% and metabolic syndrome were found to be independent predictors of appropriate ICD therapy. Appropriate ICD therapy was associated with higher cardiovascular mortality. These findings show the importance of identification of risk factors, especially metabolic syndrome, in patients following ICD implantation as aggressive treatment of these co-morbidities may decrease appropriate ICD therapy and cardiovascular mortality

Three dimensional point cloud compression and decompression using polynomials of degree one

© 2019 by the authors. The availability of cheap depth range sensors has increased the use of an enormous amount of 3D information in hand-held and head-mounted devices. This has directed a large research community to optimize point cloud storage requirements by preserving the original structure of data with an acceptable attenuation rate. Point cloud compression algorithms were developed to occupy less storage space by focusing on features such as color, texture, and geometric information. In this work, we propose a novel lossy point cloud compression and decompression algorithm that optimizes storage space requirements by preserving geometric information of the scene. Segmentation is performed by using a region growing segmentation algorithm. The points under the boundary of the surfaces are discarded that can be recovered through the polynomial equations of degree one in the decompression phase. We have compared the proposed technique with existing techniques using publicly available datasets for indoor architectural scenes. The results show that the proposed novel technique outperformed all the techniques for compression rate and RMSE within an acceptable time scale

Identification of common genetic markers of paroxysmal neurological disorders using a network analysis approach

Emerging data have established links between paroxysmal neurological disorders or psychiatric disorder, such as migraine, ataxia, movement disorders and epilepsy. Common gene signatures such as expression, protein interaction and the associated signalling pathways link genes in these associated disorders, with the object to predict unknown disease or risk genes. In this study, we used gene interaction networks to investigate common gene signatures associated with the above phenotypes. In total, 19 candidate genes were used for making an interaction network which further revealed 39 associated genes (including KCNA1, SCN2A, CACNA1A, KCNM4, KCNO3, SCN1B and CACNB4) implicated in paroxysmal neurological disorders development and progression. The meta-regression analysis showed the strongest association of SCN2A with genes involved in schizophrenia and neurodevelopmental disorders. Importantly, our analysis showed KCNMA1 as a common gene signature with a link to epilepsy, movement disorders and wide paroxysmal neurological presentations—with the greatest potential risk of being a disease gene in a paroxysmal or psychiatric disorder. Further gene interaction analysis is required to identify unidentified gene interactions which may be targets for future drugs development

AN ASSESMENT OF POTABLE WATER AND SANITATION FACILITIES PROVIDE IN RURAL AREAS OF DISTRICT PESHAWAR NWFP-PAKISTAN

ABSTRACT Potable water is one of the essential requirements of human beings. Similarly, proper sanitation arrangements are essential for the clean environments which are essential for good health. This study is based on a sample survey conducted in three randomly selected villages of district Peshawar. The aims of the study were to asses the availability and utilization of potable water and sanitation facilities. And also to identify the factors hindering in the proper utilization of these facilities in the rural areas. For this purpose 160 respondents (20 % of the total households) were randomly contacted in the study area. The study finds that more than 50% of the population was generally using open well water. This water was of inferior quality; however, people had to use it because they did not have access to public sector water. The rest of the community received water from tubewells in the public sector. This water was of good quality; however, its availability was generally not to the desire level for the users. The insufficiency in the tubewells water was mainly due to leakage in the water pipes, misuses of water and illegal connections. Similarly improper storage and drainage; and disposal of garbage and toilet waste were the major causes of poor sanitation. All these factors had contributed significantly to the under utilization of the said social sector services. Mainly because of inferior quality of water and poor sanitation the people had health problems. Likewise, proper drainage and storage and disposal of garbage and toilet waste are the pre requisites for improved sanitation. Public awareness through health and hygiene education can help a lot in the improvement of clean environment. For this purposes the district government should take necessary legal steps to stop illegal connections and misuse of water, throwing the garbage in the streets and so on. With these measures the availability and utilization of the facilities would be improved