Future Position Research Articles

Pengaruh Kepuasan Kerja Dan Lingkungan Kerja Terhadap Turnover Intention Pada Karyawan PT Jaya Teknik Artha Makmur Tangerang

Turnover retention refers to the tendency or desire of an employee to leave the current job or organization. This may reflect the employee's thoughts, feelings, or plans regarding leaving the position in the near future. This study aims to see how the effect of job satisfaction and work environment on turnover intention of PT. Jaya Teknik Artha Makmur. This study consists of three variables, namely job satisfaction, work environment and turnover intention. The research method used is descriptive quantitative with primary data collection techniques with data collection in the form of questionnaires distributed to 41 employees as respondents. The data analysis technique used in this research is descriptive, data instrument test which includes validity and reliability tests, classic assumption test which includes normality, multicollinearity, heteroscedasticity, and autocorrelation tests, multiple linear regression tests includes t test, F test and test of the coefficient of determination. The results of this study indicate that the independent variable i.e. work environment has a negative effect on turnover intention with a significance value of 0.031 <0.05 and job satisfaction has a negative effect on turnover intention with a significant value of 0.039 <0.05 and the adjusted R squared value obtained is a 36.7%, which means that the influence between work environment and job satisfaction on turnover intention is in the low category.

Future Directions of Allergen Immunotherapy for Allergic Rhinitis: Experts’ Perspective

Allergen immunotherapy (AIT) is broadly used all over the world as the only available disease-modifying treatment option. The aim of this experts' perspective is to address 7 important unmet needs for the further direction of AIT and to provide the readership with the authors' positions on these topics. An international group of experts in the field of AIT have formulated 7 important aspects for the future position of AIT, performed a current literature review, and proposed a consented position on these topics. The aspects discussed and consented by the authors include: (1) alternative routes of allergen application in AIT, (2) potential of recombinant vaccines, (3) the role of allergy diagnosis based on component-resolved diagnosis for AIT composition, (4) the impact of COVID-19 vaccination for further innovations in AIT, (5) potential of combining biologics to AIT, (6) future innovations in high-risk children/adolescents, and (7) the future regulatory position on AIT. Important unmet needs and topics for AIT have been addressed in this expert review. The authors' views and personal position on these 7 aspects have also been elaborated.

Dense Semantic Forecasting in Video by Joint Regression of Features and Feature Motion.

Dense semantic forecasting anticipates future events in the video by inferring pixel-level semantics of an unobserved future image. We present a novel approach that is applicable to various single-frame architectures and tasks. Our approach consists of two modules. The feature-to-motion (F2M) module forecasts a dense deformation field that warps past features into their future positions. The feature-to-feature (F2F) module regresses the future features directly and is, therefore, able to account for emergent scenery. The compound F2MF model decouples the effects of motion from the effects of novelty in a task-agnostic manner. We aim to apply F2MF forecasting to the most subsampled and the most abstract representation of the desired single-frame model. Our design takes advantage of deformable convolutions and spatial correlation coefficients across neighboring time instants. We perform experiments on three dense prediction tasks: semantic segmentation, instance-level segmentation, and panoptic segmentation. The results reveal state-of-the-art forecasting accuracy across three dense prediction tasks.

An Improved Path Planning Algorithm With Adaptive Parameters and Predictions

An improved path planning algorithm based on dynamic window approach (DWA) is proposed to optimize real-time paths for agents moving in complex environments with plenty of static and/or dynamic obstacles, path constraints, and performance constraints. In order to improve the accuracy of the evaluation function and the adaptability of the agents to different obstacle environments, the weight of the evaluation function is ameliorated by designing adaptive laws in this article. Meanwhile, aiming at the defect of local minima in DWA algorithm, a low-speed steering strategy is presented to help the robot escape the U-shaped trap. Especially, in the case of dynamic obstacle environment, a predictive scheme is carried out for the agents to reach the destination safely by fitting the trajectory of the dynamic obstacles to calculate their possible future positions, and then setting these positions as virtual obstacles. By comparison, some simulations and experiments are illustrated to show that the proposed algorithms are superior to the DWA algorithm in terms of running time, path length, and security to a large extent.

Impact of Clinical Anatomy Peer Mentorship Program on Student Leaders: A Mixed-Methods Study

IntroductionClinical Anatomy Mentorship Program (CAMP) was developed as a student-led approach to providing hands-on surgical experience and mentorship to third-year medical students during their surgery clerkship at an academic institution. Fourth-year medical students were selected to lead these educational events, teaching underclassmen surgical curriculum and skills in a near-peer method of clinical teaching. MethodsA focus group and survey were administered to the fourth-year medical students who served as CAMP leaders from fall 2021 to spring 2022 to assess how their leadership role impacted their personal and professional development. ResultsA 10-question survey was administered to 19 students, with 14 responding, for a response rate of 74%. Serving as a mentor facilitated the development of students’ professional interests, including increased interest in future teaching roles (93%) and leadership positions (86%), particularly as surgical clerkship director (70%) and program director (90%). All students reported that their involvement in CAMP increased their confidence in teaching and surgical knowledge, and 86% reported improved surgical skills. A subset analysis of seven CAMP leaders via the focus group demonstrated several reported benefits to serving as a peer mentor in CAMP, including increased interaction with peers, improved sense of comradery and support, more authentic peer-mentorship connections, and increased confidence and perceived preparedness for surgical residency. ConclusionsThe confidence, leadership, and improved surgical knowledge and skills obtained through the CAMP leadership role led to improved personal and professional development of student leaders.

Stable dynamic feedback-based predictive clustering protocol for vehicular Ad hoc networks

Scalability presents a significant challenge in vehicular communication, particularly when there is no hierarchical structure in place to manage the increasing number of vehicles. As the number of vehicles increases, they may encounter the broadcast storm problem, which can cause network congestion and reduce communication efficiency. Clustering can solve these issues, but due to high vehicle mobility, clustering in vehicular ad hoc networks (VANET) suffers from stability issues. Most of the existing clustering protocols are optimized for highways only and some protocols are optimized for intersections only. The clusters that are created by the protocols which are optimized for highways breakdown at the intersections where clustering is needed more. On the other hand, the clusters that are created by the protocols optimized for intersections create extra clusters or break unnecessary on straight-roads which reduces cluster stability. Moreover, the lack of intelligent use of a combination of the mobility parameters, such as direction, movement, position, velocity, degree of vehicle, and movement at the intersection, also contributes to cluster stability problems. A dynamic clustering protocol that efficiently combines all the mobility parameters can resolve these issues in VANETs by providing stability in both intersections and highways. To achieve high stability in VANET clustering, a Stable Dynamic feedback-based Predictive Clustering (SDPC) protocol is proposed for VANET to ensure cluster stability in both highway and intersection scenarios. SDPC considers vehicle relative velocity, acceleration, position, distance, transmission range, moving direction at the intersection, and vehicle density to create a cluster. The cluster head is selected based on the future position of the vehicles, relative distance between vehicles, movement of vehicles at the intersection, degree of vehicles, and probable cluster head duration. The performance of SDPC is compared with four existing VANET clustering protocols in various road topologies, in terms of the average cluster head change rate, the average duration of cluster head, the average duration of cluster member, and the average clustering overhead. The simulation results show that SDPC outperforms the existing protocols, achieving higher clustering stability in terms of cluster head change rate (50%), cluster head duration (15%), cluster member duration (6%), and clustering overhead (35%).

Italian Physicians' Perceptions about the Role of Asciminib in Later Lines Chronic Myeloid Leukemia in Clinical Practice: A GIMEMA Survey.

Unmet needs remain in later lines chronic myeloid leukemia (CML): the response rate and the overall survival of resistant patients in the chronic phase who changed a second-generation TKI in the second line with another TKI with similar action are usually poor, while the off-target toxicities and the potential development of mutations increase. The recent approval of asciminib, a STAMP inhibitor, in the third line, has the potential to soon change the therapeutic algorithm for this subset of patients. Here, we report the results of a GIMEMA survey assessing the number of patients currently treated in the third line in Italy, the current approach in later lines by Italian physicians, and the future role of this drug according to the reason to switch to asciminib (resistance and/or intolerance), as well as the perceptions about the future position of this agent.

A greedy perimeter stateless routing method based on a position prediction mechanism for flying ad hoc networks

Today, unmanned aerial vehicles (UAVs) are very popular in military and commercial applications as well as academic research. Flying ad hoc network (FANET) is a new type of ad hoc network that organizes small drones in an ad hoc form. The movement in 3D space, high mobility, frequent topological changes, restricted resources, and low density are the features of these networks. These features cause serious challenges in designing an appropriate routing approach for these networks. In this paper, a greedy perimeter stateless routing method based on a position prediction mechanism called GPSR+ is proposed for FANETs. This scheme employs a position forecast strategy to approximate the future position of UAVs and modifies the propagation period of hello messages based on this strategy to achieve better adaptability to the dynamic network. In addition, GPSR+ chooses a set of candidate UAVs using a new method called the spherical removal technique to decide on the next-hop UAVs in the routing process. Finally, the most stable UAV toward the destination will be chosen from the candidate set to act as the next-hop. The simulation results show that GPSR+ grows the packet delivery ratio in FANET and extends network longevity because it increases path stability and improves energy consumption. However, the delay in GPSR+ is high.

Iraqi Economy and Renewable Energy Projects Between Economic Necessity and Investment Challenges

Purpose: Given Iraq's current excessive fossil fuel output, this article seeks to investigate the country's potential for future renewable energy sources. The report also endeavors to foresee Iraq's future position in clean energy production in Iraq and throughout the globe and the rate at which the global energy market will shift towards renewable energy sources.
 
 Theoretical framework: Iraq's reliance on oil earnings and the country's overburdened public sector poses serious economic issues. There is a domination of state-owned firms, stringent laws, a need for more access to finance, a shortage of competent labor, and poor infrastructure that limits the expansion of numerous industries. Growth in recent years has not led to decreased poverty since the economy has changed greatly since 2014.
 
 Design/Methodology/Approach: The study included both retrospective and prospective approaches. The most pressing problems in implementing and making use of renewable energy sources were described and analyzed descriptively. Future outcomes for the Iraqi economy were envisioned using a prospective approach in the form of development scenarios.
 
 Findings: A significant source of international capital flows and a key source of funding for economic growth, foreign direct investment (FDI) has mostly focused on the oil industry and certain tourism projects. As a result of the country's outdated energy grid, investors are interested in something other than investing in Iraq's electrical industry.
 
 Research, practical & social implications: We describe the current issues confronting Iraqi economic development, including the need for more diversity in the economy, structural imbalances between the main sectors, and the near-total dependence on crude oil export revenues, resulting in a decline in industrial production.
 
 Originality/Value: We describe the reality of the Iraqi economy, analyze the structure of Iraq's energy sector based on conventional energy, and then find out about the progress made in renewable energy and existing and future projects under fossil fuels.

Do professional ties enhance board seat prospects of independent directors with tainted reputations?

This study shows how professional ties assist directors in gaining future board positions when their reputation is tainted by accounting fraud. We demonstrate that the influence of professional ties is more prominent for directors who are more heavily impacted by fraud. This effect is also stronger when directors share professional ties with key board members in the appointing firms. Additional tests show that appointments of these directors are associated with more favorable market reactions compared to appointments of other tainted directors. We also find that firms’ financial reporting quality improves after appointing professionally connected tainted directors.

Intelligent Surface Empowered Sensing and Communication: A Novel Mutual Assistance Design

Integrated sensing and communication (ISAC) is a promising paradigm to provide both sensing and communication (S&C) services in vehicular networks. However, the power of echo signals reflected from vehicles may be too weak to be used for future precise positioning, due to the practically small radar cross section of vehicles with random reflection/scattering coefficient. To tackle this issue, we propose a novel mutual assistance scheme for intelligent surface-mounted vehicles, where S&C are innovatively designed to assist each other for achieving an efficient win-win integration, i.e., sensing-assisted phase shift design and communication-assisted high-precision sensing. Specifically, we first derive closed-form expressions of the expected echo power and achievable rate under uncertain angle information. Then, the communication rate is maximized while satisfying sensing requirements, which is proved to be a monotonic optimization problem on time allocation. Furthermore, we unveil the feasible condition of the problem and propose a polyblock-based optimal algorithm. Simulation results validate that the performance trade-off bound of S&C is significantly enlarged by the novel design exploiting mutual assistance in intelligent surface-aided vehicular networks.

Bridging gaps in health? A qualitative study about bridge-building and social inequity in Danish healthcare

ABSTRACT Attendance to health appointments may pose challenges to patients, especially when living in socially disadvantaged situations, with a fragile network. Inequality in health is increasingly highlighted in Denmark. To enhance social equity in health, a non-governmental organization introduced bridge-building, where healthcare students volunteer to accompany persons in socially vulnerable situations to health appointments. The purpose of the study was to explore what bridge-building entails and which gaps bridge-building attempts to span, in a welfare state, based on equal rights to healthcare.The study is based on an ethnographic fieldwork among the stakeholders in bridge-building, using interviews and participant observation in the form of “walking fieldwork”. Informants emphasized safe-making and wayfinding as important components in bridge-building, with bridge-builders acting as as-if-relatives. Bridge-building navigates in borderlands, the in-between spaces with fluid and contested borders, encompassing public, civic society, and family spheres. All informants emphasized that bridge-building covers a need in contemporary Danish healthcare. Bridge-building entails a double temporality, a here-and-now intervention where persons in vulnerable situations get social support to make it to health appointments, and a future investment in future health professionals’ understanding of vulnerability in lives and barriers to health access; insights that may be valuable in their future job positions.

Recent Developments in Hedge Funds’ Treasury Futures and Repo Positions: is the Basis Trade “Back"?

In short, the answer is "probably", at least to some degree. This note summarizes recent developments in hedge funds' Treasury futures and repo positions derived from the Commodities Futures and Trading Commission's (CFTC's) Traders in Financial Futures data and the Office of Financial Research's ("OFR") Cleared Repo Collection.

Shoreline change rate detection applying the DSAS technique on low and medium resolution data: Case study along Ash Shu’aybah-Al Mujayrimah coastal Area of the Eastern Red Sea, Saudi Arabia

The Ash Shu’aybah and Al Mujayrimah coast area in Saudi Arabia is threatened by constantly changing shoreline dynamics. This work explains how to appropriately quantify shoreline change rates using the Landsat and Sentinel-2 datasets, predict the coastline after twenty years (2022–2042) and compare the results from both satellite data. The technique used depends on the integration of remote sensing data and Geographic Information Systems (GIS) with a Digital Shoreline Analysis System tool (DSAS). For calculating shoreline change rates and predicting future shoreline positions in 2042, eight Landsat satellite images over 36 years from 1986 to 2022 were analysed along with four Sentinel-2 satellite images from 2015 to 2022. Based on the LRR models’ data, the shoreline is exposed to erosion with average values of −3.25 and −2.12 m/yr for the Sentinel-2 and the Landsat datasets, respectively. Segment 2 in the central part of the coastline is the area most affected by the dynamics of the shoreline. To assess the accuracy of the obtained results, the root mean square error (RMSE), the mean annual error (MAE) and coefficient of determination (R2) were used. The results indicated that both the Sentinel-2 and the Landsat datasets can reliably calculate the shoreline change rate of the study area based on the similar patterns of their data, although the Sentinel-2 had a somewhat better ability in calculating the change of the shoreline.

Determine the Optimal Capital Structure of PT Indofood CBP Makmur Tbk (PT. ICBP)

The food and beverage industry is a very large industry both nationally and globally. In Indonesia, the government’s investment realization in the food and beverage industry reached IDR 19.17 trillion. One of the giant food and beverage companies in Indonesia, namely PT ICBP, is one of the largest contributors to Indonesia’s GDP in the food and beverage sector. But the problem occurred in 2020 when the COVID-19 pandemic hit. Apart from the pandemic, in 2022 there was a war between Russia and Ukraine which disrupted the global supply chain. The company’s decision to acquire PCL needs to be questioned because looking at the company’s financial condition, the capital structure of the firm is not in an optimal position. Therefore, this research was conducted with the aim of obtaining optimal capital structure and providing recommendations for strategic steps for PT ICBP. The results obtained are that in 2022 the debt level of the company is not on the optimal capital structure. Therefore, the authors carry out a scenario analysis of the company’s capital structure based on the base scenario where the future financial position will develop, such as the author’s estimation, the best scenario and the worst scenario. The optimal capital structure is obtained if the debt is at the level of 85% for the base scenario, 45% for the best scenario, and 40% for the worst case. With this capital structure, company achieve its maximum firm value. Companies must reduce debt levels according to the framework that Damodaran recommends, namely investing using new equity or retained earnings.

Global fast terminal sliding mode control for path following of ultra large underactuated ship based on predictive LOS guidance

This study proposes a new line-of-sight guidance method based on position prediction that constructs the total path deviation by predicting the future time position of ships. This method can solve the problem of overshoot, which is prone to occur in the path following process of ultra large underactuated ships. A global fast terminal sliding mode method is used to design controllers that allow path deviations to converge in a finite time. To solve the problems of unknown velocity, disturbances, and sideslip angle during navigation, a high-order nonlinear observer is designed to estimate the system states and obtain the velocity values and external disturbances. The sideslip angle of the ship during navigation is obtained by estimating its velocity. Therefore, the problem of an unknown sideslip angle is solved, and the effectiveness of the proposed algorithm is verified through simulation experiments.

Assessment of human interventions presence and their impact on shoreline changes along Nile delta, Egypt

Coastal erosion is a natural process, that contributed to shaping the Nile Delta shoreline in Egypt over history. The objective of this research is to investigate shoreline changes, accretion, and erosion and to detect particularly vulnerable locations that require immediate attention. Another goal is to assess the efficiency of coastal installations that have been recently implemented along the study area and determine whether they have performed their role to the fullest or need additional modifications. Several Landsat images (TM, ETM+, and OLI) were utilized over 37 years to track the shoreline changes and were analysed using remote sensing (RS) and Geographic Information System (GIS). The digital shoreline analysis system (DSAS) was integrated with the LRR model for assessing historical changes for shorelines from 1985 to 2022 and forecasting future shoreline positions in 2030, 2050, and 2100. Most of the eight zones that make up the Delta region have lately seen the establishment of coastal projects, such as the development of the Abu Qir port's breakwater in 2021. From the results, it was found that the areas around Rosetta promontory, Burullus headland, and Damietta promontory experienced a significant and rapid retreat and with large rates over the study period, with average values of –15.7, –3.25, and –16.8 m/y, respectively. However, both the coast of Alexandria, and Gamasa embayment were subjected to accretion as a prevailing case, with average rates of 2.85, and 4.03 m/y, respectively. Many groins were installed in the east of the Rosetta promontory (zone 3) in 2016 to decrease the erosion process; however, it didn't pay off and could not solve the problem. In contrast, the groins system, which was implemented at the East Kitchener Drain (zone 5) in the same year, lowered erosion rates from 17.6 m/y from 2000 to 2010 to 7 m/y from 2010 to 2022. In 2019, Y-groins built in zone 7, east of Damietta Port, succeeded in slowing rates of erosion. Finally, inlet jetties at El-Gamil (zone 8) were constructed in 2016, resulting in the coastline advancing at 14.7 m/y on average in the period of 2010–2022. The findings of this study confirmed that hard structures are dangerous because they exacerbate the problem of shoreline erosion by disseminating it to the neighbouring beaches and acting as an impediment to the movement of longshore sediments. According to the expected future shoreline patterns, it is necessary for authorities to implement both short-term and long-term protective measures to stop the erosion of several areas of the beach.

Local peer communities and future academic success of Ph.D. candidates

Compared to senior scientists, early-career scientists have largely been neglected in the literature on academic success. This study aims to identify the effects of local peer communities of Ph.D. candidates on their future careers. We argue that local communities of Ph.D. candidates may offer both supportive and competitive environments depending on the nature of the relationships between its members. While Ph.D. candidates generally learn from and support each other in their local peer communities, they may also compete for their mentor's attention and future academic positions. We analyse such complex peer effects for 90,264 Ph.D. candidates in the field of mathematics in a genealogical way, by measuring a candidate's academic career success by the number of next-generation Ph.D. candidates supervised later on. To capture both the supportive and competitive peer effects, we distinguish between local peers who share mentors (co-mentees) and other local peers. Our result suggests that competition exists primarily among peers who share mentors, and only at the start of one's career. We also find supportive effects among peers who do not share mentors, particularly those from the same cohort. Our results highlight the importance of universities supporting informal interactions among Ph.D. candidates.

The Position and Prospects of Academic Libraries: Weaknesses, Threats and Proposed Strategic Directions

This is the second article in a two-part SWOT analysis of academic libraries. The purpose of this research is to guide strategy development, decision making and advancement of positioning by identifying and analyzing the key strengths, weaknesses, opportunities and threats impacting academic libraries. Its premise is that an understanding of these elements, their overlap and the interplay between them is an essential foundation for the effective development of strategy. The research is unique in applying SWOT analysis to academic libraries collectively. The second article focuses on weaknesses and threats. Weaknesses are identified as conservatism, stakeholder misperceptions, economics and diversity. Declining position, identity blurring, competition and uncertainty constitute the key threats. Examination of these factors is followed by a discussion of the whole analysis and a proposed framework for future strategy development and positioning, based on ten strategic directions emerging from the analysis. These are: active positioning; knowing the territory; being politically attuned; prioritizing outward engagement; maximizing social capital; communicating value and identity; embracing uncertainty; addressing diversity deficits; leveraging change in scholarly communications; and maintaining long-term perspective.

Benefit of wind networking for aircraft arrival scheduling in terminal manoeuvring area

The effectiveness of air traffic management depends on the amount of obtained information and the accuracy of prediction, leading to a reduction in uncertainty disturbances, and an improvement in the robustness of decision-making results. Among all controlled areas, the Terminal Manoeuvring Area (TMA) is a complex and sophisticated airspace surrounding a coordinated airport in which there exists a high density of traffic, especially with arrivals converging from different directions. With the purpose of improving safety levels and operational efficiency, this paper addresses the aircraft arrival scheduling problem at the microscopic level, integrating the meteorological uncertainty based on wind networking into the optimization model. Wind uncertainty affects the flight speed, which in turn leads to uncertainty in the flight arrival time at one waypoint. Conflict detection and resolution are performed at waypoints and links in a predefined network, based on the predicted time information from the designated route. In order to optimize the time and speed for each aircraft entering TMA, this paper proposes a mathematical model that seeks to minimize the number of potential conflicts, flight delays and the number of flights deviating from the original plan under two assumptions. The first one considers regular weather forecasts for predicting the future positions of aircraft for conflict detection. The second one investigates the potential benefit for aircraft to share their local wind measure thanks to the ADSB-IN and ADSB-OUT channels. A resolution approach is proposed combining a simulated annealing algorithm and a simulation framework. Using data from a case study with 437 flights overflying the Paris Charles de Gaulle (CDG) airport TMA, we demonstrate the validity of the proposed scheduling strategy. A performance analysis is then conducted between standard forecast and wind networking.