Trust in Transformational Leadership: Do Followers’ Perceptions of Leader Femininity, Masculinity, and Androgyny Matter?

This paper takes an authenticity perspective to examine whether followers’ perceptions of a leader’s feminine, masculine, or androgynous characteristics influence the relationship between transformational leadership and followers’ perceived trust in the leader. The research was quantitative in approach. A cross-sectional survey design was used to collect data from employees from different public and private sector organizations in Pakistan. The findings show that the relationship between transformational leadership and trust is weaker when followers perceive leaders to be high on masculine and androgynous attributes. Leaders’ femininity was found to have a positive effect in the relationship of transformational leadership with trust in the leader. The paper suggests practical implications and directions for future research

QoS BASED ENERGY EFFICIENT ROUTING IN WIRELESS SENSOR NETWORK

A Wireless Sensor Networks (WSN) is composed of a large number of low-powered sensor nodes that are randomly deployed to collect environmental data. In a WSN, because of energy scarceness, energy efficient gathering of sensed information is one of the most critical issues. Thus, most of the WSN routing protocols found in the literature have considered energy awareness as a key design issue. Factors like throughput, latency and delay are not considered as critical issues in these protocols. However, emerging WSN applications that involve multimedia and imagining sensors require end-to-end delay within acceptable limits. Hence, in addition to energy efficiency, the parameters (delay, packet loss ratio, throughput and coverage) have now become issues of primary concern. Such performance metrics are usually referred to as the Quality of Service (QoS) in communication systems. Therefore, to have efficient use of a sensor node’s energy, and the ability to transmit the imaging and multimedia data in a timely manner, requires both a QoS based and energy efficient routing protocol. In this research work, a QoS based energy efficient routing protocol for WSN is proposed. To achieve QoS based energy efficient routing, three protocols are proposed, namely the QoS based Energy Efficient Clustering (QoSEC) for a WSN, the QoS based Energy Efficient Sleep/Wake Scheduling (QoSES) for a WSN, and the QoS based Energy Efficient Mobile Sink (QoSEM) based Routing for a Clustered WSN. Firstly, in the QoSEC, to achieve energy efficiency and to prolong network/coverage lifetime, some nodes with additional energy resources, termed as super-nodes, in addition to normal capability nodes, are deployed. Multi-hierarchy clustering is done by having super-nodes (acting as a local sink) at the top tier, cluster head (normal node) at the middle tier, and cluster member (normal node) at the lowest tier in the hierarchy. Clustering within normal sensor nodes is done by optimizing the network/coverage lifetime through a cluster-head-selection algorithm and a sleep/wake scheduling algorithm. QoSEC resolves the hot spot problem and prolongs network/coverage lifetime. Secondly, the QoSES addressed the delay-minimization problem in sleep/wake scheduling for event-driven sensor networks for delay-sensitive applications. For this purpose, QoSES assigns different sleep/wake intervals (longer wake interval) to potential overloaded nodes, according to their varied traffic load requirement defined a) by node position in the network, b) by node topological importance, and c) by handling burst traffic in the proximity of the event occurrence node. Using these heuristics, QoSES minimizes the congestion at nodes having heavy traffic loads and ultimately reduces end-to-end delay while maximizing the throughput. Lastly, the QoSEM addresses hot spot problem, delay minimization, and QoS assurance. To address hot-spot problem, mobile sink is used, that move in the network to gather data by virtue of which nodes near to the mobile sink changes with each movement, consequently hot spot problem is minimized. To achieve delay minimization, static sink is used in addition to the mobile sink. Delay sensitive data is forwarded to the static sink, while the delay tolerant data is sent through the mobile sink. For QoS assurance, incoming traffic is divided into different traffic classes and each traffic class is assigned different priority based on their QoS requirement (bandwidth, delay) determine by its message type and content. Furthermore, to minimize delay in mobile sink data gathering, the mobile sink is moved throughout the network based on the priority messages at the nodes. Using these heuristics, QoSEM incur less end-to-end delay, is energy efficient, as well as being able to ensure QoS. Simulations are carried out to evaluate the performance of the proposed protocols of QoSEC, QoSES and QoSEM, by comparing their performance with the established contemporary protocols. Simulation results have demonstrated that when compared with contemporary protocols, each of the proposed protocol significantly prolong the network and coverage lifetime, as well as improve the other QoS routing parameters, such as delay, packet loss ratio, and throughput

Trust in Transformational Leadership: Do Followers’ Perceptions of Leader Femininity, Masculinity, and Androgyny Matter?

This paper takes an authenticity perspective to examine whether followers’ perceptions of a leader’s feminine, masculine, or androgynous characteristics influence the relationship between transformational leadership and followers’ perceived trust in the leader. The research was quantitative in approach. A cross-sectional survey design was used to collect data from employees from different public and private sector organizations in Pakistan. The findings show that the relationship between transformational leadership and trust is weaker when followers perceive leaders to be high on masculine and androgynous attributes. Leaders’ femininity was found to have a positive effect in the relationship of transformational leadership with trust in the leader. The paper suggests practical implications and directions for future research

QoS BASED ENERGY EFFICIENT ROUTING IN WIRELESS SENSOR NETWORK

A Wireless Sensor Networks (WSN) is composed of a large number of low-powered sensor nodes that are randomly deployed to collect environmental data. In a WSN, because of energy scarceness, energy efficient gathering of sensed information is one of the most critical issues. Thus, most of the WSN routing protocols found in the literature have considered energy awareness as a key design issue. Factors like throughput, latency and delay are not considered as critical issues in these protocols. However, emerging WSN applications that involve multimedia and imagining sensors require end-to-end delay within acceptable limits. Hence, in addition to energy efficiency, the parameters (delay, packet loss ratio, throughput and coverage) have now become issues of primary concern. Such performance metrics are usually referred to as the Quality of Service (QoS) in communication systems. Therefore, to have efficient use of a sensor node’s energy, and the ability to transmit the imaging and multimedia data in a timely manner, requires both a QoS based and energy efficient routing protocol. In this research work, a QoS based energy efficient routing protocol for WSN is proposed. To achieve QoS based energy efficient routing, three protocols are proposed, namely the QoS based Energy Efficient Clustering (QoSEC) for a WSN, the QoS based Energy Efficient Sleep/Wake Scheduling (QoSES) for a WSN, and the QoS based Energy Efficient Mobile Sink (QoSEM) based Routing for a Clustered WSN. Firstly, in the QoSEC, to achieve energy efficiency and to prolong network/coverage lifetime, some nodes with additional energy resources, termed as super-nodes, in addition to normal capability nodes, are deployed. Multi-hierarchy clustering is done by having super-nodes (acting as a local sink) at the top tier, cluster head (normal node) at the middle tier, and cluster member (normal node) at the lowest tier in the hierarchy. Clustering within normal sensor nodes is done by optimizing the network/coverage lifetime through a cluster-head-selection algorithm and a sleep/wake scheduling algorithm. QoSEC resolves the hot spot problem and prolongs network/coverage lifetime. Secondly, the QoSES addressed the delay-minimization problem in sleep/wake scheduling for event-driven sensor networks for delay-sensitive applications. For this purpose, QoSES assigns different sleep/wake intervals (longer wake interval) to potential overloaded nodes, according to their varied traffic load requirement defined a) by node position in the network, b) by node topological importance, and c) by handling burst traffic in the proximity of the event occurrence node. Using these heuristics, QoSES minimizes the congestion at nodes having heavy traffic loads and ultimately reduces end-to-end delay while maximizing the throughput. Lastly, the QoSEM addresses hot spot problem, delay minimization, and QoS assurance. To address hot-spot problem, mobile sink is used, that move in the network to gather data by virtue of which nodes near to the mobile sink changes with each movement, consequently hot spot problem is minimized. To achieve delay minimization, static sink is used in addition to the mobile sink. Delay sensitive data is forwarded to the static sink, while the delay tolerant data is sent through the mobile sink. For QoS assurance, incoming traffic is divided into different traffic classes and each traffic class is assigned different priority based on their QoS requirement (bandwidth, delay) determine by its message type and content. Furthermore, to minimize delay in mobile sink data gathering, the mobile sink is moved throughout the network based on the priority messages at the nodes. Using these heuristics, QoSEM incur less end-to-end delay, is energy efficient, as well as being able to ensure QoS. Simulations are carried out to evaluate the performance of the proposed protocols of QoSEC, QoSES and QoSEM, by comparing their performance with the established contemporary protocols. Simulation results have demonstrated that when compared with contemporary protocols, each of the proposed protocol significantly prolong the network and coverage lifetime, as well as improve the other QoS routing parameters, such as delay, packet loss ratio, and throughput

Titanium Cage Fixation in Thoracic and Thoraco-lumbar Anterior Inter-body Fusion

nner by inter body fusion. Study Design:  Prospective Study. Material and Method:  The study was conducted at the department of neurosurgery Lahore general hospital Lahore. Results:  Thirty cases were included during period two years. All cases operated for decompression, fusion and instrumentation, cages of titanium mesh were used. Neurological status of the patients assessed before and after operation. Twenty eight (93.3%) cases improved neurologically. Two (6.7%) did not improved. There were three infected cases which were treated and improved in the long run. Conclusion:  By using anterior interbody fusion (AIF) with cage we can mobilize the patient early. Improvement of the neurological status is excellent. Per operative infection rate is very low. Deformity can be corrected with more accuracy. Key Words:  Anterior cervical corpectomy, anterior dorsal inter body fusion, anterior, posterior and lateral, computed tommography, magnetic resonance imaging

Impact of an Inpatient Geriatric Consultative Service on Outcomes for Cognitively Impaired Patients

Background Impact of geriatric consultative services (GCS) on hospital readmission and mortality outcomes for cognitively impaired (CI) patients is not known. Objective Evaluate impact of GCS on hospital readmission and mortality among CI inpatients. Design Secondary data-analysis of a prospective trial of a computerized decision support system between July 1, 2006, and May 30, 2008. Setting Study conducted at XXXXX hospital, a 340-bed, public hospital with over 2,300 yearly admissions of 65 or older. Patients 415 inpatients aged 65 and older with CI were enrolled from July 2006 to March 2008. Measurements 30 day and one year mortality and hospital readmission following the index admission. Cox’s proportional hazard models were used to determine the association between receiving GCS, re-admission or mortality while adjusting for demographics, discharge destination, delirium, Charlson Comorbidity Index, and prior hospitalizations. The propensity score method was used to adjust for the non-random assignment of GCS. Results Patients receiving GCS were older (79; 8.1 SD vs 76; 7.8 SD; p<.001 with higher incidence of delirium (49% vs. 29%; p<.001)). No significant differences were found between the groups for hospital readmission (Hazard Ratio (HR)=1.19; 95% CI = 0.89, 1.59) and mortality at 12 months of index admission (HR=.91 ; 95% CI = 0.59, 1.40). However, a significant increase in readmissions was observed for the GCS group (HR=1.75; 95% CI = 1.06–2.88) at 30 days post-discharge. Conclusion One year post-discharge outcomes of CI patients that received GCS were not different from patients who did not receive the service. New models of care are needed to improve post-discharge readmission and mortality among hospitalized patients with CI

Interaction between cognitive impairment and discharge destination and its effect on rehospitalization

OBJECTIVES: To evaluate the effect of cognitive impairment on rehospitalization in older adults. DESIGN: One-year longitudinal study. SETTING: Medical service of an urban, 340-bed public hospital in Indianapolis between July 2006 and March 2008. PARTICIPANTS: Individuals aged 65 and older admitted to the medical service (N = 976). MEASUREMENTS: Rehospitalization was defined as any hospital admission after the index admission. Participant demographics, discharge destination, Charlson Comorbidity Index, Acute Physiology Score, and prior hospitalizations were measured as the confounders. Participants were considered to have cognitive impairment if they had two or more errors on the Short Portable Mental Status Questionnaire. RESULTS: After adjusting for confounders, a significant interaction between cognitive impairment and discharge location was found to predict rehospitalization rate (P = .008) and time to 1-year rehospitalization (P = .03). Participants with cognitive impairment discharged to a facility had a longer time to rehospitalization (median 142 days) than participants with no cognitive impairment (median 98 days) (hazard ratio (HR) = 0.77, 95% confidence interval (CI) = 0.58-1.02, P = .07), whereas participants with cognitive impairment discharged to home had a slightly shorter time to rehospitalization (median 182 days) than those without cognitive impairment (median 224 days) (HR = 1.15, 95% CI = 0.92-1.43, P = .23). These two nonsignificant HRs in opposite directions were significantly different from each other (P = .03). CONCLUSION: Discharge destination modifies the association between cognitive impairment and rehospitalization. Of participants discharged to a facility, those without cognitive impairment had higher rehospitalization rates, whereas the rates were similar between cognitively impaired and intact participants discharged to the community

Frequency of Central Nervous System Anomalies Associated with Hydrocephalus Diagnosed by Magnetic Resonance Imaging in all Ages

Hydrocephalus is a medical condition which is physiologically recognized by elevated intracranial pressure. It occurs mostly as a consequence of certain central nervous system pathologies such as Chiari malformation type I and II, myelomeningocele, space occupying lesions, TBM, Bacterial meningitis, glioblastoma, traumatic brain injuries along with hemorrhage. It is clinically recognized by many stellar signs such as seizures, dementia, gait disturbances and bradycardia along with sleep apnea. The main purpose of our research paper was to carefully evaluate the frequency of different CNS pathologies which represent as the etiology of raised intracranial pressure in all ages. The duration of study was from 01 June 2018 to 01 June 2019 at Lahore General Hospital, Pakistan. A retrospective cross-sectional study included 120 patients which were admitted to Neuro-Radiology department with provisional diagnosis of hydrocephalus along with the associated clinical manifestations. The patients were chosen through convenient sampling technique. All the examined patients included males and females of all ages. &nbsp;Overall 120 patients were included in this study. Out of 120 patients; males were 70 (41.6%) and females were 50 (33.6%) in this study population. &nbsp;The central nervous system pathology which was found to be most frequently associated with hydrocephalus was space occupying lesion 25 % (30cases) with mean age of 38.8, seconded by TBM 11.6 % (14cases) with the mean age of 37.2; glioma 9.1% (11cases) with mean age of 42 and SAH&nbsp; 8.3% (10cases) with the mean age of 48.8.&nbsp; In conclusion, MRI was the gold standard modality for the evaluation of hydrocephalus due to central nervous system pathologies

An Energy Efficient Simultaneous-Node Repositioning Algorithm for Mobile Sensor Networks

Recently, wireless sensor network (WSN) applications have seen an increase in interest. In search and rescue, battlefield reconnaissance, and some other such applications, so that a survey of the area of interest can be made collectively, a set of mobile nodes is deployed. Keeping the network nodes connected is vital for WSNs to be effective. The provision of connectivity can be made at the time of startup and can be maintained by carefully coordinating the nodes when they move. However, if a node suddenly fails, the network could be partitioned to cause communication problems. Recently, several methods that use the relocation of nodes for connectivity restoration have been proposed. However, these methods have the tendency to not consider the potential coverage loss in some locations. This paper addresses the concerns of both connectivity and coverage in an integrated way so that this gap can be filled. A novel algorithm for simultaneous-node repositioning is introduced. In this approach, each neighbour of the failed node, one by one, moves in for a certain amount of time to take the place of the failed node, after which it returns to its original location in the network. The effectiveness of this algorithm has been verified by the simulation results