Multi Sector Research Articles

Domestic Violence and Its Impact on Mental Health, Challenges on Providing Multi Sectoral Support – Albania Case

Domestic violence is one of the main problems of Albanian society. Açording to the latest survey of INSTAT (2018), 1 out of 2 or 52.9% of women aged 18-74 ‘ever’ experienced one or more of the five different types of violence during their lifetime. The literature shows that survivors of violence are three times more at risk of developing mental illnesses. On the other hand, those who suffer from mental health problems are more likely to be abused or even attempt suicide.The aim of the paper is to identify the challenges of social services in addressing cases of domestic violence with mental health problems in Albania. The methodology is qualitative based on available secondary data and semi-structured interviews with service providers at local level.The main conclusions of the paper are related to the lack of clear procedures for the management of cases of violence with mental health problems, difficulties in diagnosing cases, lack of specialized services, lack of trained professionals, difficulties in the long-term reintegration of cases, etc.

Improving financial productivity and upgrading in global value chains

This study integrates the financial productivity improvement in a multi–country, multi–sector Ricardian model to examine its impact on China's position within global value chains (GVC). We also differentiate between the trade elasticities of the financial sector concerning intermediate inputs and final consumption. Through counterfactual analysis, our research reveals a consistent upward trajectory in China's GVC positioning at aggregate and sectoral levels that is attributable to financial productivity improvement. This ascent is facilitated by input–output links and cost-saving effects. The findings validate the significance of financial productivity improvement in advancing China's GVC positioning.

The Application of Science and Technology for Regional Development of Edutourism Villages Based on Low Cost Ecotourism Integrated with Science Techno Park

Tanjung Pinang II Village is located 10 km from the administrative center of Ogan Ilir Regency, Indralaya. Tanjung Pinang II Village can be developed as a tourist area due to the easy access. The problems of to be tourist village is unproductive of potential land, the emergence of noise pollution from blacksmith activities in residential areas, do not have a tourism management master plan; and The absence of basic infrastructure supporting ecotourism-based Edutourism. The solution of this problem is Counseling on Strengthening Human Resources in Edutourism Villages and Revitalizing Non-Productive Multi Sector Integrated Land as well as Cultivation Technique Training, Relocation of Blacksmiths to Integrated Areas and Planting Sound Barrier Plants, Making a Master Plan for Mapping the Development of Integrated Edutourism Areas in Science Techno Park (STP), Building Edutourism Supporting Facilities Based on Low Cost Ecotourism. The solutions offered are in accordance with the background of the expertise. The purpose of PIPK in Tanjung Pinang-II Village is to provide the solutions in the fields of production, management, marketing, infrastructure and the environment. The method of implementing this PIPK is analyzing the situation and conditions of partners, providing solutions to problems, Making Appropriate Technology (TTG) that will be transferred to partners, Training and Mentoring and Evaluation of Implementation of Activities. The results of the service can be concluded that this activity is a solution for Tanjung Pinang II Village to prepare itself as a tourist village.

Multi Sectoral Actions towards Sustainable Tourism in the Philippines: A Case of Boracay Island

Multi Sectoral Actions towards Sustainable Tourism in the Philippines: A Case of Boracay Island

IQRe: An Integrated Cross Scale Urban Resilience Assessment framework

Developing successful urban resilience plans is a very challenging task due to the complex cross scale, multi sectoral dynamics of urban areas. This paper presents a novel integrated, multi sectoral, cross scale urban resilience assessment framework (iQRe) that facilitates bridging the spatial and sectoral gaps in the existing climate change adaption frameworks. The iQRe framework merges the IPCC AR5 risk assessment approach with the generic multi-criteria analysis methodology “SB Method” developed by iiSBE, creating a series of agile and quantitative climate impact chains that allow assigning a normalized numerical value to each of the 3 components needed to assess the climate risk (Hazard, vulnerability, and exposure). The Paper provide a sample application of the iQRe on a residential building.

Embedding Community-Based Circular Economy Initiatives in a Polycentric Waste Governance System: A Case Study

This research explores the approach of embedding community-based initiatives in practicing circular economy based on a case study of waste bank movement in Salatiga, Central Java, and explains how the waste banks interact with multi sectors and levels. Data is gathered from documentary studies, in-depth interviews, and observations; and analyzed with a polycentric governance approach, which sheds light on cross-organizational collaborative arrangements. The study results show that the community-based circular economy initiatives through waste banks in Salatiga result from either a top-down approach that the municipal government instructs or a bottom-up approach that Civil Society Organizations (CSOs) and communities initiate. Thus it is significant to note that CSOs play essential roles in waste management, and it completes the model proposed by the previous study. The study findings also show that embedding community-based waste management through waste banks in Salatiga can enhance broader circular economy practices, strengthen the linkages across sectors and levels, and balance the authorities in a polycentric waste governance system. Therefore, waste banks must be recognized as reliable institutions governing waste, especially in urban areas.

The Impact of the Boko Haram Insurgency in Nigeria: A Multi Sectoral Analy

Using the Regional Security Complex Theory (RSCT) and qualitative methodological approach, this article examines the impact of the Boko Haram insurgency on the various sectors and arenas of security as proposed by proponents of the Copenhagen School of Security Studies. Findings of the article suggest that the presence and activities of this terror group have impacted the various arenas of security and have also created dire sub-regional and regional implications in spite of the various counter-measures designed by sub-regional and regional actors to counter the threat posed by the terror group. Therefore, to address this challenge, the article offers practical recommendations to critical and relevant actors involved in countering the presence of this group at the various political, military, societal, economic, environmental, sub-regional, and regional levels. 

Adapting Public-Private Partnership as Strategic Collaboration between Government and Philanthropy-Based Autism Spectrum Disorder Centre

The need for advance for the development of low-cost Autism Spectrum Disorder (ASD) centre projects which include all required programs by ASD populations is a crucial component of the growth equation between parents with typically developing (TD) children and parents with ASD children who are stressed due to financial issues. However, there is the budget limit for the Government to spend on these big investment projects despite the worldwide economic recovery is slowing down caused by COVID-19 pandemic and the increasing cost of living. These basic well-being needs should maintain the right direction growth like the demographic growth to satisfy the ASD population’s demand. Public-Private Partnership (PPP) has been an area of interest, as a new tool for supporting public service provision. PPP has been used worldwide in delivering public sector projects including Malaysia. Its implementation has proven to provide many benefits to the Government and the public as a whole. Therefore, the objective of this study is to enhance the partnership between the public and private sectors so that they can play an important role by collaborating with the Government to create partnerships in searching for enough sources. The conclusion of this study indicated that there are many established ASD centres used philanthropy funding worldwide including Malaysia. However, there is still the need to establish an ASD one-stop centre, to complete all ASD needs and requirements at a lower cost. This study contributes to a better understanding on a Public–Private Partnership (PPP) between Government and ASD centre as the private sector with the collaborations of philanthropic institution such as not-for-profit or religious institutions. The partnership from multi sectors is important to achieve the social indicator goal in ensuring ultimate development for the Government and the public.

THE CONCEPT OF COMPUTABLE GENERAL EQUILIBRIUM MODELS

This paper contributes to the existing literature on the general concept on use of the Computable general equilibrium (CGE) models of importance in developing processes. Computable general equilibrium (CGE) models are used widely in policy analysis, especially in developed-country academic settings and also for the purpose of sharing these lessons with potential users in developing countries. The range of issues on which CGE models have had an influence is quite wide, and includes structural adjustment policies, international trade, public finance, agriculture, income distribution, and energy and environmental policy. This paper describes how to build multi sector computable general equilibrium models for policy analysis. The article presents the social accounting matrix (SAM) that provides the conceptual framework linking together different components of the model and furnishes much of the data as well.

An Autopsy Based Study on Fatal Road Traffic Accidents in the Mortuary of Patna Medical College, Patna (Bihar)

Road Traffic Accidents (RTA) continue to be one of the leading causes of death in developing countries andconstitute a medico-legal autopsy case conducted in India.Objective: To study the demographic profile and pattern of injuries among victims of RTA.Materials and Methodology: Autopsy based study was carried out in the department of Forensic Medicine &Toxicology, in the Mortuary of Patna Medical College, Patna from September 2018 to September 2021. The datasource included post-mortem reports, police inquest reports. History noted in the sheet as given by relatives andfriends of the deceased, crime scene, photographs, hospital, case records and laboratory investigation reports. Thedata collected was analyzed and descriptive statistics such as percentages, ratios and proportion were used.Observation and Results: A total of 8120 autopsies were conducted during the study period and among them 2030(25%) cases were of RTA of these 6334 (78%) were males and 1786 (21.99%) female. Majority of the victims 23.49%were in the age group of 21-30 years. Head injury 76.99% was the most common cause of death and subduralhaemorrhage (80.68%) was the commonest among the intracranial haemorrhages.Conclusion: Road traffic accidents are preventable cause of mortality and there is urgent need to enhance roadsafety by multi sector approach along with improving trauma care management in hospitals.

Critical Analysis of Multi Sectoral Policies related to Marble Industry in Pakistan

Incentive Based (IB) and Command and Control (CAC) instruments are identified in various legislative Acts and Policy documents based on the criteria of environmental economics. Despite the advantages of IB strategies the world of policy making is somewhat locked into the path of traditional approaches such as CAC and pose inertia to move forward in environmental policy making. An ethical shift is inevitable anywhere where there is a market failure and increased social costs and inefficiencies in government interventions to regulate the market. Regulations are discrete steps to address feedbacks in a complex system. Policy evaluation and testing criteria is used to evaluate and test the policies regulating marble extraction and processing in Pakistan. A set of policy and regulatory instruments are selected to be critiqued. The coexisting policy approaches found in the study shall be tested on system dynamics model for developing insights and long-term implications.

An Analysis of India’s Trade Flow with BIMSTEC nations- A Gravity Model Approach

At present, the Bay of Bengal Initiative for Multi Sectoral Technical and Economic Cooperation (BIMSTEC) represent 22 percent of the global population and carries immense economic promise, with a combined GDP worth $ 3.5 trillion (2018). BIMSTEC have India as the largest economy of the group followed by Bangladesh, Thailand, Sri Lanka, Nepal, Myanmar and Bhutan. The paper tries to examine the impact of determinants of trade, on trading pattern of India with the BIMSTEC nations, by employing an augmented gravity model on panel data, since its formation for the period of 22 years i.e., from 1997-2018. The paper tries to examine the India’s trade flow within BIMSTEC trading bloc by implying augmented gravity model followed by Egger (2000,2002), Baltagi et al. (2003) and Serlenga and Shin (2007). Several checks have been performed to imply the presence of serial correlation, heteroscedasticity and contemporaneous correlation in the panels. Many other preliminary tests have also been performed to know the crosssectional dependency, stationarity, panel co-integration and normality of variables. The simple panel OLS estimation technique has been used conduct Regression. The study finds out that Heckscher-Ohlin- Samuelson theorem explain the India’s pattern of trade with the bloc. The variables GDP, per capita GDP, Trade GDP ratio, common border and belonging to BIMSTEC has positive impact on the trade between the India and country j. While tax and distance are negatively correlated with total trade of the nations as per our expectations.

Reducing deaths and injuries in cities around the world through a city multi-sector comprehensive approach

Abstract Road traffic crashes kill over 1.35 million people worldwide and injure up to 50 million people. They are the leading cause of death among the young. City governments, in conjunction with national governmental agencies, are critical to reducing road traffic deaths. Cities are well placed to demonstrate effective implementation of evidence-based interventions and catalyse national action. Proven road safety strategies include: → enforcing road safety laws on speeding, drink driving, motorcycle helmets and seat-belts → designing and building safer roads → managing speed effectively → implementing transportation systems to make urban mobility safer → promoting safe driving and building public support for road safety via communication campaigns → using data from high-quality monitoring and evaluation systems for policy and planning. This presentation will highlight the successes and challenges in some selected cities participating in the Bloomberg Philanthropies Initiative for Global Road Safety and share lessons learned in the implementation of a multi sector evidence-based comprehensive approach at city level.

Evaluating Multi Sector Shocks Effect on the Global Economy

The Global economy has experienced various shocks and effects of different impacts. These include war, corruption, civil unrest, politics, piracy, terrorism to name but just a few. These have had a great influence on the global economy such that with the many austerity measures that have been undertaken in the past four years the world at large has not been able to mitigate these influences. Most of the great economies have not recovered yet and if they have it fluctuates. This research generally investigated the sector shock effect on the Global economies by modelling the returns and risks of a sample of major stock indices which were variants since they have been known to capture changes in many economies which may result from social, economic or political happenings. The research then determined a model that could evaluate the effect of various happenings on the averaged Global economy. The multi sector cost of returns was found to be 0.078 or 7.8 % and the multi sector total risk 0.20 or 20.12 %, which is very high 20.12 %. The results then clearly indicated very high risks and low returns during tumultuous times of global happenings.

Profiling Breast Diseases Attended in Breast Clinic of A Tertiary Care Hospital

Background: Due to global rise of awareness and bonafide role of multi sector media towards breast diseases, women are becoming concern of any health issues of breast and many of them are attending breast clinics. Besides breast cancer is the second most common cause of cancer deaths in the world. We confidently rely on the triple assessment protocol comprising clinical, radiological and pathological examination to escort the management schedule in any breast disease. However, benign breast lumps are most commonly found, but association with morbidity has to be checked and evaluated accordingly. This study was aimed to profiling the breast diseases attended in breast clinic of a tertiary care hospital. To evaluate and categorized the patients with breast diseases which are referred to Breast and Endocrine Clinic (BEC) of Shaheed Suhrawardy Medical College Hospital.
 Materials and methods: This is a cross sectional done in Breast and Endocrine Clinic (BEC) of Shaheed Suhrawardy Medical College Hospital from January 2019 to January 2021.376 patients with breast symptom included in this study.Demographic data, painful breast, nipple discharge, nipple retraction and breast lump were analyzed.
 Results: During the study period 376 female patients of different age groups underwent in this study who visited the BEC with a breast symptom detected incidentally by themselves or by other physician, lump in 102 individuals. Demographic pictures were framed in the mean age group of patient was 35.1±9.2 where 30% subjects were postmenopausal and the mean BMI picture revealed stat of 22.5±2.1. Among the afore mentioned objects 154 patients complained of painful breast symptoms of which 64 found with bilateral breast pain, 05 with discharge from nipple and 18 with retracted nipple, 3 with symptoms associating axilla.Breast lump were seen in 61 cases out of which 06 malignant cases were sorted whereas 55 patient came up with benign pathologies.
 Conclusion: History quest, proper methods of clinical examination of breast is and histopathology are the most predominating screening procedure to recognize pathologies in breast.
 JCMCTA 2021 ; 32 (1) : 9-13

MS scheduler: New, scalable, and high-performance sparse AVX-2 parity encoding and decoding technique for erasure-coded cloud storage systems

In cloud storage scenarios, each chunk with multiple symbols of a coding strip resides in a different node and, hence, on a different disk. Existing STAIR and sector-disk (SD) scheduling techniques are not scalable because the performance of existing STAIR and SD encoding and decoding schedulers decreases sharply as the number of parity disks increases. This paper proposes a new, scalable, multisector (MS) scheduler that provides three-level fault tolerance for multiple sectors, disks, and nodes. In addition, the MS scheduler is extendable to multilevel failure recovery. MS schedulers are aware of the inner structure of each node, such as the number of disks and sectors for each node. Compared with SD and STAIR schedulers, an MS scheduler improves the average encoding and decoding performance by 198.34%, on average (ranging from 170.46% to 228.54%). However, STAIR and SD schedulers are bound to a specific number of parity disks and sectors. This is because the MS scheduler uses streaming SIMD extensions (SSE) for the dense matrix-based parity computation software implementation. In contrast, an MS scheduler can perform parity calculations for a large number of parity disks and sectors using advanced vector extensions (AVX)-2, OpenMP thread parallelism, and sparse parity computation software implementation. As a result, fewer XOR operations are performed to calculate parity chunks owing to the diagonal structure of the MS scheduler. The sparse AVX-2/-512 diagonal erasure coding implementation of the MS scheduler enables the proposed scheduler to be compatible with recovery from multilevel failures by skipping a large number of XOR and multiplication operations. This proves that the MS scheduler is suitable for use in a scalable cloud storage environment.

Seni Lukis Bali Dari Perspektif Modernisasi


 
 
 One of the strategic attitudes toward development, in order to increase its improvement by arrangement of comprehensive planning, by considering potency as multi sector development concept is the development of art that is taken for consideration. The development of art in Bali nowadays is closely related to the historic movement of Indonesian art, pioneering era Raden Saleh (1807-1880), Hindia Jelita era (1908-1937), and Pita Maha era (1930s). In the Pita Maha era, there occurred a combinatioan between the modern west esthetic and classical Bali esthetic that based on Hindu religion. The modern esthetic was brought to Bali by western artist R. Bonnet and W. Spiese, merging with the classical esthetic which bearing aperiod of art in Bali that is known as Seni Lukis Bali Modern (Bali Modern Art Painting) The period is also the beginning of Modern Art in Bali. Academic movement in the field of art exist in 1950 is an attitude toward renewal expansion within expression. During the orde baru government in 1966, various styles of modern art come into elaboration, moreover by the graduations of many academic artists. 
 
 

Scaling up public health interventions: case study of the polio immunization program in Indonesia

BackgroundThe scaling up of public health interventions has received greater attention in recent years; however, there remains paucity of systematic investigations of the scaling up processes. We aim to investigate the overall process, actors and contexts of polio immunization scaling up in Indonesia from 1988 until 2018.MethodsA mixed method study with sequential explanatory design was conducted. We carried out a quantitative survey of 323 actors involved in the polio program at national and sub-national levels, followed by Key Informant Interviews (KII)s. Document review was also carried out to construct a timeline of the polio eradication program with milestones. We carried out descriptive statistical analysis of quantitative data and thematic analysis of qualitative data.ResultsThe scaling up of polio immunization in Indonesia started as a vertical expansion approach led by the Ministry of Health within a centralized health system. The coverage of immunization increased dramatically from 5% in the earlier 80s to 67.5% in 1987; incremental increases followed until achieving Universal Child Immunization (UCI) in 1990 and subsequently 95% coverage in 1995. Engagement of stakeholders and funding made the scaling up of polio immunization a priority. There was also substantial multisector involvement, including institutions and communities. Local area monitoring (LAM) and integrated health posts (Posyandu) were key to the polio immunization implementation strategy. Challenges for scaling up during this centralized period included cold chain infrastructure and limited experience in carrying out mass campaigns. Scaling up during the decentralized era was slower due to expansion in the number of provinces and districts. Moreover, there were challenges such as the negative perception of immunization side-effects, staff turnover, and the unsmooth transition of centralization towards decentralization.ConclusionVertical scaling up of polio immunization program intervention was successful during the centralized era, with involvement of the president as a role model and the engine of multi sector actors. Posyandu (integrated health posts) played an important role, yet its revitalization after the reform-decentralization era has not been optimum.

Pengaruh Perputaran Kas, Piutang dan Persediaan Terhadap Profitabilitas Perusahaan Sektor Aneka Industri yang Terdaftar di BEI

This study aimed to find out whether Cash Turnover, Receivable Turnover, and Inventory Turnover have positive and significant impact to Profitability and which variable has dominant effect to profitability in industry multi sector registered in Bursa Efek Indonesia. Profitability in this case means Return on Investment (ROI). The methodology used in this study is descriptive analysis, quantitative analysis and multiple regression analysis. From the statistic analysis, it is found that 1) the value of regression coefficient for Cash Turnover = 0,125 with significance value = 0,043, which means Cash Turnover has positive and significant impact on Profitability; 2) The value of Receivable Turnover = 0,292 with significance value = 0,017. This means that Receivable Turnover has positive and significant impact on Profitability; 3) the value of Inventory Turnover= 0,917 with significance value= 0,000. This shows that Inventory turnover has positive and significant impact to Profitability; 4) the variable which has the most effect on the Profitability in industry multi sector registered in BEI inventory turnover whose coefficient regression value is bigger compared to others, 0,917. Therefore, it can be conclude that all variable contribute positively and significantly to Profitability, and the dominant variable affected the Profitability is inventory turnover.

Stacked KNN with hard voting predictive approach to assist hiring process in IT organizations

Effective candidates screening is critical for any IT firm as it impacts the future growth and productivity of that firm. Currently majority of these firms follow a manual approach of hiring employees which is more prone to errors and time consuming. Prime purpose of the research is to develop an intelligent predictive model to decide upon candidate’s suitability for an applied It based job. A sample size of 13,168 instances with 19 attributes of job seekers data are used for study. An ensemble predictive meta model approach is presented in the research where a stacked KNN (K-Nearest Neighbours) algorithm combined with hard voting approach is employed. The idea is to use a single unified predictive model in place of separate classification models by considering the predicted class with maximum votes against each class label. The proposed approach comprises two functional modules. ‘Stacked KNN Learner Module’ involves the use of five variants of KNN which include 1-NN, 3-NN, 5-NN, 7-NN and 9-NN. Individual prediction of the job seeker data from these variants of KNN algorithm are input to the ‘Hard Voting Ensemble Predictive unit’ which eventually aggregates majority of predicted class votes determined for each class label to generate the final output predicted class label on basis of maximum votes. The developed ensemble meta model is successfully implemented using python programming language and its performance evaluation is done using various metrics. The implemented model generated a 96.96% prediction accuracy rate. The specificity, sensitivity and f-score value recorded was 96.36%, 96.06% and 96.26% respectively. Mean Absolute Error (MAE) and Root mean Square Error (RMSE) value observed with our proposed meta model was 0.0048 and 0.0102 respectively. A comparative analysis of the proposed model was done by varying the data sample size and it gave a consistent performance throughout. It was observed that proposed ensemble model gave an impressive 96.96% mean accuracy rate and the overall performance of other variants was consistent. Performance of proposed meta model was also compared with some existing techniques like C.45, CART and K-Means. It outperformed other techniques in terms of accurately predicting the class label of candidates applying for job. This ensemble meta model can be of great help for growing IT firms and assist the organization unit in hiring right and deserving candidates in future. Proposed work can act as a decision making framework in multi sector units with enormous work force to streamline performance appraisal process thereby enabling in hiring right people for right job.