Priority Basis Research Articles

Assessment of timber and fuel wood harvesting practices and distribution pattern in CFUGs of Khotang District, Nepal

Proper harvesting of forest products is necessary for sustainable forest management, playing a pivotal role in minimizing damage and waste while ensuring the sustainability of forest resources. Sustainable community forest management greatly depends on the harvesting and fair distribution of various forest products (FP). The study's goals were to ascertain the methods, instruments, and strategies utilized in the harvesting process, forest products distribution pattern, and the common issues surrounding the distribution and harvesting of FP in Imo and Ashoje Community Forest (CF) located in Khotang District, Nepal. Operational Plan (OP), focus groups, key informant interviews, household surveys, and minute books were used for data collection. 25% of all households were chosen at random from each of the two CF. The study revealed that traditional methods and tools such as sickles, bill hooks, axes, and saws, were commonly used in the past; however, there has been a shift towards modern tools in recent years. Deviations were observed in forest products harvesting and distribution from that of OP in practice. Fuel wood were equally distributed, timbers were allocated based on priority and circular basis ensuring user satisfaction. The slope was the major constraint for harvesting, as most of the marked trees were not cut because of difficulty in extraction. To improve sustainable forest management, it is recommended that advanced tools and training be provided to users, with regular monitoring by forest officials to ensure adherence to best practices. These measures will help enhance user responsibility and ensure sustainable harvesting operations.

Linking Social Protection and Humanitarian Systems to Respond to Forced Displacement

With displacement occurring at record levels and often on a protracted basis, there is increasing interest in the potential to link humanitarian displacement responses with social protection systems. This article discusses how social protection and humanitarian systems can work together to meet the needs of displacement-affected populations, based on the findings of a three-year research project that drew on global literature alongside mixed-methods data collected in 2021 in Cameroon, Colombia, and Greece. The article discusses five lessons: (1) displaced populations’ distinct needs and implications for social protection design and delivery; (2) inadequate social protection for host communities and implications for social cohesion; (3) the priority basis for evaluating linkage approaches; (4) the need for sustained international financing; and (5) the general importance of greater transparency and collaboration. It concludes with recommendations for further research to build the nascent evidence base on this topic.

Character association and path analysis for yield and its attributing traits among urdbean landraces

In the present study, character association and path analysis were studied among 23 urdbean genotypes for 11 quantitative traits. Correlation analysis divulged that seed yield/plant proclaimed a significant positive relationship between branches/plant, biological yield/plant, pods/plant, and pod length at both genotypic and phenotypic levels and also showed a direct effect on yield. Biological yield/plant, branches/plant and pods/plant had the most beneficial direct and indirect influences on the overall relationship between yield and other component attributes, indicating the high inter-dependent interaction among these traits. Therefore, these characteristics could be considered as optimum selection indices on a priority basis, which would be remarkable for improving genotype efficiency during genetic improvement.

Fault tolerant & priority basis task offloading and scheduling model for IoT logistics

The Internet of Things (IoT) has connected millions of devices to the internet for communication and computation purposes. Due to constraints such as limited battery power, processing capabilities, and storage capacity, IoT devices often rely on remote fog nodes for task execution, a practice known as task offloading. The NP-hard nature of offloading and scheduling IoT tasks onto fog nodes poses significant challenges. Current IoT task offloading often relies on single parameters like device MIPS, RAM, or battery power. Similarly, task allocation on fog nodes frequently prioritizes VM MIPS. To address energy consumption and task failures in IoT systems, robust fault tolerance, efficient task offloading, and effective scheduling are crucial. This paper introduces a novel Fault-Tolerant, Priority-Based Task Offloading and Scheduling Model (FP-TOSM) for IoT logistics. Utilizing the Analytic Hierarchy Process (AHP) for multi-criteria decision-making, IoT tasks are prioritized. Tasks below a specified threshold are executed locally, while those within a defined range are offloaded to a fog node. Tasks exceeding this range are delegated to the cloud. The Euclidean formula is used to determine the proximity between the IoT logistics vehicle and fog nodes for offloading decisions. Dynamic re-clustering fault tolerance mechanisms are utilized to manage task failures after offloading. Successful offloaded tasks are allocated to suitable VMs in the cloud and fog nodes. The proposed strategy selects the most suitable VM for offloaded tasks using a multi-criteria decision-making process to reduce energy consumption, SLA violations, and execution costs. The model's performance is evaluated through simulations in iFogSim2. Results demonstrate reductions in energy consumption by up to 5.8 % and 10.4 %, decreases in SLA violations by up to 25.2 %, and a 16.28 % improvement in response time compared to an ACO-based model with a response time of 17.8 %. Additionally, the task failure ratio shows a significant reduction of up to 22.1 %. These findings highlight the effectiveness of FP-TOSM in enhancing efficiency and reliability within fog computing environments.

Carrier frequency synchronization for WLAN systems based on MIMO-OFDM-IM

Multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) with index modulation (IM) MIMO-OFDM-IM is a modulation technique that has garnered significant interest in recent times owing to its attraction of smooth transition to greener communications, enhancing efficiency in terms of energy, spectrum and compatibility to previous existing standards without the need for drastic changes in the physical layer. It is also proved that even though OFDM-IM provides better immunity to carrier frequency offset compared to traditional OFDM, the sensitivity to frequency error is still a major issue and it has to be resolved on priority basis to fully exploit the potential offered by the IM technique. In this work, we propose a novel non-data-aided algorithm that efficiently estimates and eliminates the offset present in the received signal. The algorithm has been analyzed for the MIMO-OFDM-IMbased wireless local area network system using the high throughput task group (TGn) MIMO channel models in the presence of AWGN. In addition, it is compared with the other popular blind algorithms based on both pilots and inactive data tones. The simulation plots depict a clear improvement of the new estimator over the existing methods not only in the low signal-to-noise ratio (SNR) regions but also in the high SNR region.

Dilemma of Licensing Mining Business Activities by Community Organizations in Indonesia Between State, Society, and Human Rights

The presence of Government Regulation of the Republic of Indonesia Number 25 of 2024 Article 83A paragraph (1) confirms that religious community organizations WIUPK is offered on a priority basis to businesses owned by religious community organizations. Mining activities often cause harm and even make the surrounding community a victim of mining. The incompatibility between the management of mining activities and the principle of "Ormas" which should be a non-profit organization, is also a big question in the midst of society because religious mass organizations that should be oriented toward the benefit of the community are now collapsing their values. This leads to dilemmas and problems in applying regulations that provide different opportunities for community organizations. This research applies normative juridical research methods with statutory, conceptual, and historical approaches. Community organizations, which in this case are business entities in mining, should be able to take advantage of their position to stay focused on providing services and security for the community. Instead of just making a profit. The provisions of PP No. 25 of 2024 Article 83A paragraph (1) need to be followed by clear provisions so that community organizations in the mining world do not exacerbate the situation but can instead be used to improve the safety of the community.

The Function of the Regional Development Work Plan in the Planning and Budgeting Process of Bekasi City

Based on the Bekas City RPJPD 2005 – 2025 and 2020 – 2024 RPJMD, the Bekas City Government has prepared the 2023 Bekas City RKPD based on the Regulation of the Minister of Home Affairs of the Republic of Indonesia Number 17 of 2021 concerning Guidelines for Preparing Regional Government Work Plans for 2022 because it has not been implemented. There is a new Minister of Home Affairs Regulation regarding Guidelines for Preparing Regional Government Work Plans for 2023.In this research, the author used a descriptive qualitative approach. The Regional Development Work Plan (RKPD) is a very important tool in the planning and budgeting process, as a description of annual programs and activities as the basis for General Budget Policy and Temporary Budget Ceiling Priorities. The RKPD must be reviewed by the Bekasi Inspectorate, to ensure quality there is harmony between the RPJMD and RKPD, so that the development stages per year are in accordance with those that have been determined. The review issues recommendations as a quality assurance function that must be followed up, and after the review is carried out, a Mayor's Regulation regarding RKPD is stipulated. In discussing the RAPBD, it must be based on the RKPD, and adjustments can be made to the budget ceiling for each program and activity.

Adaptive and Priority-Based Data Aggregation and Scheduling Model for Wireless Sensor Network

Wireless Sensor Networks (WSN) use sensor nodes placed in potential places to collect sensitive information. These sensor nodes monitor necessary data and send it to the sink node. Sensor nodes have resource constraints, especially energy and power depletion. The majority of sensor and battery power is wasted on redundant data transmission. The redundant data transmission consumes a significant amount of the sensor and battery life, decreasing the total lifespan of the sensor nodes. Data aggregation is an approach that expands the useful lifetime of sensor nodes overall and removes unnecessary data and delays. There are many types of data aggregation techniques, such as centralized, tree-based, in-network, and cluster-based. The available tree-based data aggregation mechanism performs well, but the whole tree may be down due to single-node failure. Due to bottlenecks, node data aggregation suffers from an increased packet failure ratio. Another limitation is that every node aggregates data into slices, which consumes more energy. For this purpose, an adaptive and priority-based data aggregation and scheduling model (APB-DASM) for WSNs is proposed in this paper to address these issues. It is proposed that APB-DASM be used to improve quality of service (QoS) with regard to energy consumption and data transmission. The APB-DASM model aggregates sensor data into cluster heads and divides it into three formats: The first format categorizes the most important data that consists of four slices, and the second format categorizes the important data that consists of three slices. Format three data is represented in two slices, which is normal data. These three types of format data are aggregated on a priority basis, such that the highest priority is given to the first format, i.e., most important data; moderate priority is given to the second format, i.e., important data; and then low priority is given to the normal data. Due to an efficient priority-based data aggregation and scheduling algorithm, our proposed model sends the most important data first, and so on. Theoretical study and simulation research demonstrate that our proposed approach improves the existing tree-based models. By using APB-DASM, significant decreases in energy usage, packet delivery ratio, and overall QoS are achieved, and as a result, the WSNs' lifetime is thus increased. The proposed model is implemented in MATLAB, and the results are compared with existing tree-based models. Simulations comparing our model to the most recent models indicate that it worked effectively, reducing the packet failure ratio and energy usage by 36.8% and 30%, respectively, for CBF-ADA, D-SMART, and WDARS. This article emphasizes how the suggested methodology can be effectively used in the aggregation of coronavirus patient data. It demonstrates how adaptable and applicable our method is in the real world.

A probabilistic distributed digital twins approach for short-term stability and islanding of smart grid

The simultaneous evaluation of voltage, frequency, and transient stability enhances the reliability of the power systems, due to the transient effect of stability aspects on each other. However, different quantitative and qualitative parameters in the aspect and nonlinear structural analysis of the system make simultaneous and accurate predictions difficult. For this reason, the simultaneous probabilistic prediction of the stability state of three aspects with high certainty can be considered the most accurate method. This study presents a simultaneous prediction method for the stability aspect states by means of the decision theory and the game theory matrix on the basis of distributed digital twins (DDTs). The decision matrix weighs the aspect states in each bus using the distributed structure measurement and prioritizes the weak buses. In addition, the stability of different bus aspects is predicted using the game matrix. Furthermore, the changes in the system stability are predicted with high probability and certainty in the digital twins (DTs) graph, and if required, islanding is performed on the basis of the weak buses' priorities. The effects of the three aspects on each other, and the use of real-time data of the DDTs, have contributed to the high accuracy and speed of the proposed method. Simulations were performed on IEEE 14-bus, 39-bus, and 118-bus systems by means of MATLAB and DIgSILENT. The results show the advantages of the proposed method over other methods.

Priority-based scheduling in residential energy management systems integrated with renewable sources using adaptive Salp swarm algorithm

With the remarkable growth and implementation of communication technology, sensors, and measurement equipment in the Smart Grid (SG) environment, demand side management (DSM) and demand response (DRs) can be easily implementable in residential energy systems integrated with renewable energy sources (RES). Looking at this perspective, this paper suggests an intelligent and dynamic load-priority-based scheduling optimal smart residential energy management system (REMS). The objectives to achieve through priority-based scheduling in the case of a residential energy management system are multi-focussed in terms of peak load reduction, consumer choice of consumption according to priority basis, and cost-effectiveness towards electricity price savings. The issues related to uncertainties with RES due to environmental dependency must be incorporated into the DSM. A single objective discrete formulation based on the Adaptive Salp Swarm Algorithm (ASSA) has been done on modelling and optimizing the crucial system parameters for scheduling, ideally the operation of residential appliances, along with the sources and prioritized-based loads available. System constraints, consumer priorities, energy source availability, uncertainties, and objectives are considered in the formulation to justify the approach that is feasible in real-time conditions. To enhance the search capabilities of SSA, the control parameters vary optimally in both the exploration and exploitation stages of searching. Comparative results with genetic algorithms (GA), particle swarm optimization (PSO), and conventional SSA are presented in different cases, such as (1) traditional homes without REMS, (ii) smart homes with REMS (iii) smart homes using REMS with RES.

Organizational and Social Psychological Foundations for the Development of Management Decisions

The head of a company makes important business decisions every day. The profit of the enterprise, the choice of reliable partners and the outcome of the work of the entire team depend on them. At the same time, all managers make management decisions differently. The article talks about the psychological basis for the development of management decisions. The social efficiency of a management decision is considered as the result of achieving social goals for a larger number of employees and the company in a shorter time, with fewer employees, and at lower financial costs. The organizational effectiveness of a management decision lies in the fact that the company’s personnel are involved in this work. Social is embedded in the personnel management mechanism, which includes levers of influence on people to coordinate their activities in the team. Formal relationships are consolidated in the form of functional or organizational structures of departments and the company as a whole. Informal (personal) relationships are established on the basis of common priorities of needs and interests, likes and dislikes. Informal relationships are also fixed in the form of a structure with leaders and subordinates, and have unwritten rules of relationship.

ROLE AND IMPORTANCE OF IDENTIFIED HISTORIC BAZAR OF SULTANATE PERIOD TOWARD TOURISM AND ECONOMIC UPLIFTING IN THE REGION OF SOUTHERN PUNJAB, PAKISTAN

Internationally, historic bazars are being regenerated to maintain and sustain the ambience of heritage core of the city. In Pakistan, this concept is also being followed in historic cities like Lahore, which have meaningful results by saving endangered heritage of specific time period as well creating economic, recreational and tourism activities having direct impact on uplifting of the community. There is need to apply this concept of regeneration in the other historic cities of Pakistan especially the remote areas like Southern Punjab where the heritage is being detoriating due to lack of maintenance and encroachment and need to protect on priority basis. Southern Punjab, Pakistan is a cradle of many civilizations and full of historic monuments with a most important era of Sultanate Period in which numbers of shrines were built spiritually in the memory of Sufi saints who played a vital role in spread of Islam in the region. Regular visits by their followers, especially during URS, led to the establishment of commercial and recreational activities in the form of bazars and mela grounds around these shrines. However, as city centers evolved over time, these bazars have deteriorated, necessitating regeneration for the revival of the historic core's ambiance This research focuses on the regeneration of historic bazars during the Sultanate Period in one of the historic settlements of Southern Punjab, Pakistan. The methodology involves a comprehensive survey and interviews with experts, contributing valuable insights to the existing body of knowledge. Emphasizing compliance with SDG-11.4, which underscores the importance of ensuring the safety of indigenous heritage, the study aims to provide practical recommendations for the sustainable regeneration of these historic bazars, safeguarding Southern Punjab's rich cultural legacy.

A STUDY OF FINANCIAL SUSTAINABILITY IN INDIAN BANKING INDUSTRY

Financial sustainability has become a catch line in the modern financial systems. This has become a matter of concern in all economies worldwide. Financial sustainability ensures stable and resilient financial health. This comprehensive approach supports the banking sector in generating more revenue, and its strategic planning system is conducive to reducing the level of non-performing assets by managing costs. This allows the financial system to achieve its strategic goals by effectively managing borrowing and credit. Strategic investment decisions help evade financial strain and mitigate probable financial pitfalls. This makes the system more viable and resilient, allowing banks to achieve long-term goals in a zestful environment of financial threats and opportunities. The concept of financial sustainability is a new term in the Indian banking system. Banks are trying their best to adopt and implement it, but are still lagging. To date, only a few banks have incorporated them successfully. Financial sustainability offers many benefits to banks in the form of high productivity, effective management of interest rate fluctuations, controlled non-performing assets, cost reduction, better customer satisfaction, and risk control. Indian banks have acknowledged the significance of financial sustainability and are now committed to achieving it. Banking regulators must incorporate and implement the goal of financial sustainability in the Indian banking system on a priority basis. This study highlights the need to adopt the goal of financial sustainability in the Indian banking industry. Further, the strategies made by the RBI in this direction have been analyzed along with the challenges that banks face during the implementation of these strategies in the real world.

CareConnect: Improving Patient Appointment Scheduling using Markov Decision Process with K-Means Algorithms

Abstract: In the healthcare sector, the number of patients has increased by a significant amount in the last decade which has resulted in overcrowding of hospitals and clinics. Using machine learning (ML) in this domain has proven very useful for both doctors and patients. This research mainly focuses on designing an algorithm for appointment scheduling for doctor’s which helps them prioritize patients based on their medical conditions and history which will give them an idea of which patient needs attention on a priority basis. The study implements various machine learning algorithms such as K-means clustering, which clusters patients into three classes of priority, Markov’s Decision Process (MDP) is used to define the problem and Q-Learning is used to solve it. Using these techniques the research aims to develop a system which automatically books an appointment with a doctor based on inputs given to certain questions related to their medical conditions.

Current Trends of Resistance Among Gram Negative and Gram Positive Bacteria Isolated from Tertiary Care Hospital

Introduction: Nosocomial infections (NIs) following antimicrobial resistance becomes serious public health concern across the world. It affects the length of hospital stay and cost burden on the health care system. Rapid increase in resistance against commonly used antibiotics results in emergence of multi-drug resistant organisms. Material and Methods: This retrospective study was done at CMH Sialkot over the period of six months. All types of clinical samples were included and were processed according to standard microbiological procedures. Organisms were identified by using different biochemical tests. AST were performed by Kirby-Bauer disc diffusion method according to CLSI guidelines. Results: Total 402 organisms were isolated among which 57% were gram positive while 43% were Gram negative bacteria. MRSA (31%) was most prevalent in Gram positive bacteria while E.coli(50%) was found to be most common in Gram negative bacteria. Gram-positive bacteria showed maximum resistance against Fluoroquinolones, while Co-trimoxazole and Cephalosporins were least susceptible against Gram-negative bacteria. Conclusion: Nosocomial infections Because of their importance, antibiotic usage policies should be taken and implemented on a priority basis in the agenda of the infection control committees of hospitals.

Early prediction of oestrus for herd fertility management in cattle and buffaloes - a review.

Oestrus is defined as a period when a female animal exhibits characteristic sexual behaviour in the presence of a mature male. Oestrous manifestation in dairy animals is due to the oestrogen (E2) effect on the central nervous system (CNS). It is a critical issue to be considered on a priority basis. Inefficient oestrous detection reduces the fertility status of the herd. The primary and most reliable indicator of oestrus is standing to be mounted by a bull or another female herd mate, signalling receptivity and the pre-ovulatory state in dairy cattle. Oestrous detection is primarily a management challenge requiring skill and vigilance. To improve the efficiency of oestrous detection in dairy cattle, visual observation is one of the best methods if done three times a day; however, heat detection aids, if combined, give better results. However, techniques like using teaser bulls, tail painting, chin ball markers, ultrasound (USG) examination, hormonal analysis and examination of cervicovaginal mucus (CVM) improve oestrous detection efficiency. Moreover, the changes in production systems have reduced the expression of oestrous behaviour among cows, due to higher oestrogen (E2) metabolism. Therefore, automated systems, such as pedometers, accelerometers and acoustic sensors like infrared thermography (IRT) and image processing, have significantly enhanced reproductive performance by facilitating oestrous detection and optimizing insemination schedules. From this review, we would conclude that oestrous detection alone contributes considerably to the reproductive status of the herd; therefore, applying different methods of oestrous detection reduces the incidence of missed oestrus and improves the fertility status of the herd.

Obstetric outcomes of teenage pregnancies: A record-based study in a rural hospital of North 24 Parganas district, West Bengal

Background: Teenage pregnancy is a pregnancy in a woman within 10–19 years of age groups. It results from a number of factors such as early age at marriage, illiteracy, poverty, premarital sex, lack of awareness, and access to contraception. Teenage pregnancy imposes serious social and medical implications relating to both maternal and child health. It is a worldwide public health problem in both developed and developing countries. Aims and Objectives: The study was conducted in a rural hospital of North 24 Parganas in West Bengal. The primary objective was to compare different maternal and perinatal outcomes of teenage primigravida mothers with those of adult primigravida mothers. The secondary objective was to assess the association between various sociodemographic factors on the prevalence of teenage pregnancy. Materials and Methods: The cross-sectional hospital record-based study includes a sample of 78 study subjects each in cases and comparison group. Records were taken from June 2019 to December 2019. Results: Of a total of 379 labor room admissions during the study period, 86 (22.69%) were of the teenage group and 8 cases were excluded from the study. A total of 78 teenage pregnancies were analyzed and compared with 78 adult pregnancies. The mean (standard deviation) age of teenage in our study was 18.10±0.63 and that of the comparison group was 22.74±1.68 years. Results revealed that teenage mothers had a statistically higher proportion of anemia (OR=2.30, P=0.05) and low-birth-weight babies (OR: 3.6, P=0.05) compared to adult-primigravida mothers, respectively. Conclusion: Teenage pregnancy is still a rampant and important public health problem in India with unfavorable perinatal outcomes and needs to be tackled on a priority basis.

가상자산의 物件性 여부 및 물권법 법리에의 포섭 가능성에 관한 논의

Whether virtual assets can be regarded as a ‘thing’ or ‘property has been widely discussed, because it can be a prerequisite to whether legal theories in property law and in bankruptcy law would be applied to virtual assets. Although financial regulatory Acts on virtual asset law are being legislated around the world, few countries have legislated how virtual assets will be understood in civil law. In this situation, Liechtenstein has in 2019 and Switzerland has in 2021 partially regulated civil legal issues of virtual assets in their Acts and UNIDROIT adopted its principles on digital assets in 2023. Liechtenstein’s TVTG(Token- und VT-Dienstleister-Gesetz) does not recognize virtual assets (tokens) as a thing, but restricts the concept and legal effects of tokens only within the Act. The Act distinguishes between de facto powers of disposition and justified right of disposition, but a person who has de facto power over a VT-key is considered to have legitimate right over the tokens associated with that key. In addition the disposal of tokens does not depend on the existence of a legal title (principle of abstraction), while the so-called causality principle prevails in Liechtenstein property law. If a token is disposed of without a legal title or if an initially existing legal title later ceases to exist, the legal transaction must be rescinded ex-nunc in accordance with the law of unjust enrichment. Considering the characteristics that the VT-system fulfills the registration function and has a high level of reliability, the possibility of acquisition in good faith is recognized. A significant part on civil legal issues in the DLT(Distributed Ledger Technologie) Act of Switzerland relates to ‘register uncertificated security’ (Registerwertrecht) which dematerializes securities using distributed ledger technology. The Swiss legislators additionally reviewed whether cryptocurrency could be considered a thing and concluded that it is unreasonable to extend the concept of natural forces to cryptocurrencies such as Bitcoin and that legal status on the blockchain can be claimed only to the participants in the blockchain system. Considering that cryptocurrency is not recognized as movable property, it is recognized as a type of intangible property. However, the Act recognized the right to separation for crypto-assets in general. This provision is enacted because it was practically necessary to determine whether crypto-assets belong to the bankruptcy estate when the wallet provider goes bankrupt. The DLT Act does not recognize general crypto-assets as a thing, but the right to separation of crypto-assets is recognized under certain conditions. The UNIDROIT Principles treat digital assets as being susceptible to being the subject of proprietary rights, without addressing whether they are considered ‘property’ under the other law of a State. The Principles don’t prescribe the specific requirements for a valid right of ownership in a digital asset or for it’s valid transfer. Instead, the principles provide a detailed definition of control, which assumes a role that is a functional equivalent to that of ‘possession’ of movables. However, ‘possession’ in this context is a purely factual matter and not a legal concept. But the concept of control serves as a necessary requirement for qualifying for protection as an innocent acquirer of a digital asset and as a method of third-party effectiveness and a basis of priority of security rights in a digital asset. It should be noted that a security right in a digital asset that is made effective against third parties by control has priority over a security right in the digital asset that is made effective against third parties only by a method other than control. A proprietary right in the digital asset remains effective on insolvency, but difficulties are expected if the insolvent person might refuse to reveal the password. In conclusion considering the char

APPLICATION OF PROGRESSIVE MANAGEMENT THEORIES FOR THE DEVELOPMENT OF THE MODERN UKRAINIAN MANAGEMENT MODEL

The importance of public management, especially in transitional systems or emergency situations, the problem of institutional adaptability to the realities of management has a priority basis. Of course, the development of a management approach in public administration should not be considered as a panacea, it also has quite fundamental limitations arising from the remaining rather serious differences between management in public and commercial organizations and the criteria for evaluating their performance. Thus, in public institutions, such a criterion, along with efficiency and effectiveness, is social justice, which has a valuable nature that goes beyond management.
 In addition, there is one fundamental difference related to the huge impact of politics on public administration, without taking into account public management turns into only a rather narrow set of management technologies, the application of which can have rather limited consequences. Traditional management was built only on the principles of bureaucracy, while modern management is oriented towards adaptive systems that can create innovations in response to today's challenges.

The Historical Analysis of National Integration in Pakistan: A Case Study of General Pervez Musharraf Era

National cohesion encapsulates political, social, cultural, and economic Integration. Ever since its creation, Pakistan has been tormented by the problem of national Integration and competing regional demands within the context of nation or State. The relations between the center and the provinces have never been exemplary. During the last 75 years, constitutional and political upheavals have increased misunderstanding amongst the provinces, and an atmosphere of mistrust exists within the center. Various national political parties and leaders have been highlighting widespread dissatisfaction with the affairs of the state institutions, regional disparities, economic exploitation, centralization of authority, and finances in the country. Successive regimes, because of vested agendas, have never succeeded in achieving complete national cohesion. Consequently, the threat to national Integration from within remains alive and has increased manifolds. This case study concludes shortcomings in national cohesion by the historical analysis of National Integration in Pakistan up to General Pervez Musharraf, and it suggests dynamic and viable measures to strengthen the federation and enhance national cohesion, but it further needs to be enhanced by resolving the above-mentioned issue of National Integration on a priority basis. This study also suggests certain recommendations in the light of research findings.