STUDI KADUNGAN IODIUM DALAM RUMPUT LAUT EUCHEUMA COTTONII DIPERAIAN KEI KECIL

Iodium berperan penting bagi pertumbuhan manusia. Kekurangan asupan iodium dapat menimbulkan berbagai penyakit. Kebutuhan asupan iodium dapat dipenuhi dengan mengkonsumsi pangan kaya iodium. Rumput laut eucheuma cottonii diketahui miliki kandungan iodium yang tinggi. Perarian Kei Kecil merupakan salah satu sentra pembudidayaan rumput laut eucheuma cottonii dikawasan timur Indonesai. Kandungan iodium dalam rumput laut sangat dipengaruhi oleh tempat pembudidayaannya.  Penelitian ini dilakukan untuk memperoleh informasi tentang kandungan iodium dalam rumput laut eucheuma cottonii diperairan Kei Kecil. Penentuan kandungan iodium menggunakan metode spektrofotometri ultraviolet dengan mengoptimasi konsentrasi H3PO4 dan KI. Hasil penelitian menunjukan rata-rata kandungan iodium dalam rumput laut eucheuma cottonii yaitu 29,96 μg/g. Penelitian dilakukan pada λmaks 351 nm dengan konsentrasi optimum H3PO4 0,6 M dan KI 0,06 M

Analysis of Mercury (Hg) Distribution In The Waeapo River Irrigation Area, Buru Regency, Maluku Province, Gold Mining Without Permission Result In Botak Mountain Area

The Waeapo River has 13 watersheds, which are irrigated area for thousand hectare of rice field in the District of Buru. Buru District is one of the area that can supply thousands of tons of rice. But, yields to be reduced by the presence of gold mining activities in the Botak Mountain. Gold mining activities not only impact for the decline in yields, but also impact on the quality of rice by mercury pollution generated by mining waste. This research aims to determine the accumulation of mercury in sediment of Waeapo river. The research method is used survey and analysis method. In this research, observations were done and field sampling with the laboratory analyze. The result showed that concentration of analyzed mercury at four point, one point has exceeded standard of mercury limits in the sediment, i.e 0.1 pp

Analysis of Mercury (Hg) Distribution In The Waeapo River Irrigation Area, Buru Regency, Maluku Province, Gold Mining Without Permission Result In Botak Mountain Area

The Waeapo River has 13 watersheds, which are irrigated area for thousand hectare of rice field in the District of Buru. Buru District is one of the area that can supply thousands of tons of rice. But, yields to be reduced by the presence of gold mining activities in the Botak Mountain. Gold mining activities not only impact for the decline in yields, but also impact on the quality of rice by mercury pollution generated by mining waste. This research aims to determine the accumulation of mercury in sediment of Waeapo river. The research method is used survey and analysis method. In this research, observations were done and field sampling with the laboratory analyze. The result showed that concentration of analyzed mercury at four point, one point has exceeded standard of mercury limits in the sediment, i.e 0.1 pp

Influence of firm size on the competencies required to management engineers in the Jordanian telecommunications sector

This is an Accepted Manuscript of an article published by Taylor & Francis in European Journal of Engineering Education on [13 jun 2016], available online:http://www.tandfonline.com/ doi/abs/10.1080/03043797.2016.1197890.[EN] The objective of this study is to identify the competencies required to achieve success in the transition from higher education to the labour market based on the perceptions of employers. This paper analyses the assessments made by a group of engineering company employers. An item-battery of 20 competencies was grouped into 3 dimensions by using factor analysis. Subsequently, respondents scores were also clustered into three groups and characterised through contingency tables. The competencies demanded by employers were grouped into business and finance, problem-solving and strategic planning. Significant differences were found between responses from employers working in medium and small companies, who placed more importance on competencies related to problem-solving and strategic planning, and employers in big companies, who were more concerned about the difficulties of finding well-trained graduates. The findings from this paper have important implications for research in the areas of higher education and organisations that usually employ graduate engineers.The authors would like to thank the Education, Audiovisual and Culture Executive Agency (EACEA) [Tempus program. Project number 511074] of the European Commission for providing funding for conducting this study. This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.Conchado Peiró, A.; Bas Cerdá, MDC.; Gharaibeh, KM.; Kaylani, H. (2016). Influence of firm size on the competencies required to management engineers in the Jordanian telecommunications sector. European Journal of Engineering Education. 1-14. doi:10.1080/03043797.2016.1197890S114ALLEN, J., & DE WEERT, E. (2007). What Do Educational Mismatches Tell Us About Skill Mismatches? A Cross-country Analysis. European Journal of Education, 42(1), 59-73. doi:10.1111/j.1465-3435.2007.00283.xBarrella, E. M., & Buffinton, K. W. (2009). Corporate Assessment of Strategic Issues in Technology Management. Engineering Management Journal, 21(1), 27-33. doi:10.1080/10429247.2009.11431795Bartram, D., Lindley, P. A., Marshall, L., & Foster, J. (1995). The recruitment and selection of young people by small businesses. Journal of Occupational and Organizational Psychology, 68(4), 339-358. doi:10.1111/j.2044-8325.1995.tb00592.xBehrends, T. (2007). Recruitment Practices in Small and Medium Size Enterprises. An Empirical Study among Knowledge-intensive Professional Service Firms. management revu, 18(1), 55-74. doi:10.5771/0935-9915-2007-1-55Boshuizen, H. P. A. (s. f.). Does Practice Make Perfect? Innovation and Change in Professional Education, 73-95. doi:10.1007/1-4020-2094-5_5Branine, M. (2008). Graduate recruitment and selection in the UK. Career Development International, 13(6), 497-513. doi:10.1108/13620430810901660Butler, C. J., & Chinowsky, P. S. (2006). Emotional Intelligence and Leadership Behavior in Construction Executives. Journal of Management in Engineering, 22(3), 119-125. doi:10.1061/(asce)0742-597x(2006)22:3(119)Carbone, T. A., & Gholston, S. (2004). Project Manager Skill Development: A Survey of Programs and Practitioners. Engineering Management Journal, 16(3), 10-16. doi:10.1080/10429247.2004.11415252Cassell, C., Nadin, S., Gray, M., & Clegg, C. (2002). Exploring human resource management practices in small and medium sized enterprises. Personnel Review, 31(6), 671-692. doi:10.1108/00483480210445962Cattell, R. B., & Vogelmann, S. (1977). A Comprehensive Trial Of The Scree And Kg Criteria For Determining The Number Of Factors. Multivariate Behavioral Research, 12(3), 289-325. doi:10.1207/s15327906mbr1203_2Chan, A. P. C., Ho, D. C. K., & Tam, C. M. (2001). Effect of Interorganizational Teamwork on Project Outcome. Journal of Management in Engineering, 17(1), 34-40. doi:10.1061/(asce)0742-597x(2001)17:1(34)Coll, R. K., & Zegwaard, K. E. (2006). Perceptions of desirable graduate competencies for science and technology new graduates. Research in Science & Technological Education, 24(1), 29-58. doi:10.1080/02635140500485340Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334. doi:10.1007/bf02310555Dekker, R., de Grip, A., & Heijke, H. (2002). The effects of training and overeducation on career mobility in a segmented labour market. International Journal of Manpower, 23(2), 106-125. doi:10.1108/01437720210428379Elfenbein, D. W., Hamilton, B. H., & Zenger, T. R. (2010). The Small Firm Effect and the Entrepreneurial Spawning of Scientists and Engineers. Management Science, 56(4), 659-681. doi:10.1287/mnsc.1090.1130Farr, J. V., & Brazil, D. M. (2009). Leadership Skills Development for Engineers. Engineering Management Journal, 21(1), 3-8. doi:10.1080/10429247.2009.11431792Garen, J. E. (1985). Worker Heterogeneity, Job Screening, and Firm Size. Journal of Political Economy, 93(4), 715-739. doi:10.1086/261327Gharaibeh, K. M., Kaylani, H., Murphy, N., Brennan, C., Itradat, A., Al-Bataineh, M., … Bany Salameh, H. (2014). A Masters Programme in telecommunications management – demand-based curriculum design. European Journal of Engineering Education, 40(3), 267-284. doi:10.1080/03043797.2014.944104Hayes, J., Rose‐Quirie, A., & Allinson, C. W. (2000). Senior managers’ perceptions of the competencies they require for effective performance: implications for training and development. Personnel Review, 29(1), 92-105. doi:10.1108/00483480010295835Hersch, J. (1991). Education Match and Job Match. The Review of Economics and Statistics, 73(1), 140. doi:10.2307/2109696Hoegl, M., & Parboteeah, K. P. (2007). Creativity in innovative projects: How teamwork matters. Journal of Engineering and Technology Management, 24(1-2), 148-166. doi:10.1016/j.jengtecman.2007.01.008Hoegl, M., Praveen Parboteeah, K., & Gemuenden, H. G. (2003). When teamwork really matters: task innovativeness as a moderator of the teamwork–performance relationship in software development projects. Journal of Engineering and Technology Management, 20(4), 281-302. doi:10.1016/j.jengtecman.2003.08.001Van Hoorn, T. P. (1979). Strategic planning in small and medium-sized companies. Long Range Planning, 12(2), 84-91. doi:10.1016/0024-6301(79)90076-1HUSELID, M. A. (1995). THE IMPACT OF HUMAN RESOURCE MANAGEMENT PRACTICES ON TURNOVER, PRODUCTIVITY, AND CORPORATE FINANCIAL PERFORMANCE. Academy of Management Journal, 38(3), 635-672. doi:10.2307/256741Kaiser, H. F. (1958). The varimax criterion for analytic rotation in factor analysis. Psychometrika, 23(3), 187-200. doi:10.1007/bf02289233Kaufman, L., & Rousseeuw, P. J. (Eds.). (1990). Finding Groups in Data. Wiley Series in Probability and Statistics. doi:10.1002/9780470316801Krug, J. (1997). People Skills: Teamwork. Journal of Management in Engineering, 13(2), 15-16. doi:10.1061/(asce)0742-597x(1997)13:2(15)Male, S. A., Bush, M. B., & Chapman, E. S. (2010). Perceptions of Competency Deficiencies in Engineering Graduates. Australasian Journal of Engineering Education, 16(1), 55-68. doi:10.1080/22054952.2010.11464039Mao, X., Zhang, X., & AbouRizk, S. M. (2009). Enhancing Value Engineering Process by Incorporating Inventive Problem-Solving Techniques. Journal of Construction Engineering and Management, 135(5), 416-424. doi:10.1061/(asce)co.1943-7862.0000001Mendelsohn, R. (1998). Teamwork—The Key to Productivity. Journal of Management in Engineering, 14(1), 22-25. doi:10.1061/(asce)0742-597x(1998)14:1(22)Moore, B. V. (1921). Personnel selection of graduate engineers: The differentiation of apprentice engineers for training as salesmen, designers, and executives of production. Psychological Monographs, 30(5), i-85. doi:10.1037/h0093191Moy, J. W., & Lee, S. M. (2002). The career choice of business graduates: SMEs or MNCs? Career Development International, 7(6), 339-347. doi:10.1108/13620430210444367Nair, C. S., Patil, A., & Mertova, P. (2009). Re-engineering graduate skills – a case study. European Journal of Engineering Education, 34(2), 131-139. doi:10.1080/03043790902829281Passow, H. J. (2012). Which ABET Competencies Do Engineering Graduates Find Most Important in their Work? Journal of Engineering Education, 101(1), 95-118. doi:10.1002/j.2168-9830.2012.tb00043.xPinnington, A. H. (2011). Competence development and career advancement in professional service firms. Personnel Review, 40(4), 443-465. doi:10.1108/00483481111133336Reio, T. G., & Sutton, F. C. (2006). Employer assessment of work-related competencies and workplace adaptation. Human Resource Development Quarterly, 17(3), 305-324. doi:10.1002/hrdq.1176Robar, T. Y. (1998). Communication and Career Advancement. Journal of Management in Engineering, 14(2), 26-28. doi:10.1061/(asce)0742-597x(1998)14:2(26)Rowold, J., & Kauffeld, S. (2008). Effects of career‐related continuous learning on competencies. Personnel Review, 38(1), 90-101. doi:10.1108/00483480910920732Ruiz-Mercader, J., Meroño-Cerdan, A. L., & Sabater-Sánchez, R. (2006). Information technology and learning: Their relationship and impact on organisational performance in small businesses. International Journal of Information Management, 26(1), 16-29. doi:10.1016/j.ijinfomgt.2005.10.003Soliman, F., & Spooner, K. (2000). Strategies for implementing knowledge management: role of human resources management. Journal of Knowledge Management, 4(4), 337-345. doi:10.1108/13673270010379894Srour, I., Abdul-Malak, M.-A., Itani, M., Bakshan, A., & Sidani, Y. (2013). Career Planning and Progression for Engineering Management Graduates: An Exploratory Study. Engineering Management Journal, 25(3), 85-100. doi:10.1080/10429247.2013.11431985Sunindijo, R. Y., Hadikusumo, B. H., & Ogunlana, S. (2007). Emotional Intelligence and Leadership Styles in Construction Project Management. Journal of Management in Engineering, 23(4), 166-170. doi:10.1061/(asce)0742-597x(2007)23:4(166)Tanova, C. (2003). Firm size and recruitment: staffing practices in small and large organisations in north Cyprus. Career Development International, 8(2), 107-114. doi:10.1108/13620430310465534Teichler, U. (1999). Higher education policy and the world of work: changing conditions and challenges. Higher Education Policy, 12(4), 285-312. doi:10.1016/s0952-8733(99)00019-7Tsang, M. C., & Levin, H. M. (1985). The economics of overeducation. Economics of Education Review, 4(2), 93-104. doi:10.1016/0272-7757(85)90051-2Ward, J. H. (1963). Hierarchical Grouping to Optimize an Objective Function. Journal of the American Statistical Association, 58(301), 236-244. doi:10.1080/01621459.1963.10500845Zenger, T. R. (1994). Explaining Organizational Diseconomies of Scale in R&D: Agency Problems and the Allocation of Engineering Talent, Ideas, and Effort by Firm Size. Management Science, 40(6), 708-729. doi:10.1287/mnsc.40.6.708Zenger, T. R., & Lazzarini, S. G. (2004). Compensating for innovation: Do small firms offer high-powered incentives that lure talent and motivate effort? Managerial and Decision Economics, 25(67), 329-345. doi:10.1002/mde.119

MiR-126 and miR-126* regulate shear-resistant firm leukocyte adhesion to human brain endothelium

Leukocyte adhesion to brain endothelial cells, the blood-brain barrier main component, is a critical step in the pathogenesis of neuroinflammatory diseases such as multiple sclerosis (MS). Leukocyte adhesion is mediated mainly by selectins, cell adhesion molecules and chemokines induced by pro-inflammatory cytokines such as TNFα and IFNγ, but the regulation of this process is not fully clear. This study investigated the regulation of firm leukocyte adhesion to human brain endothelium by two different brain endothelial microRNAs (miRs), miR-126 and miR-126*, that are downregulated by TNFα and IFNγ in a human brain endothelial cell line, hCMEC/D3. Using a leukocyte adhesion in vitro assay under shear forces mimicking blood flow, we observed that reduction of endothelial miR-126 and miR-126* enhanced firm monocyte and T cell adhesion to hCMEC/D3 cells, whereas their increased expression partially prevented THP1, Jurkat and primary MS patient-derived PBMC firm adhesion. Furthermore, we observed that miR-126* and miR-126 downregulation increased E-selectin and VCAM1, respectively, while miR-126 overexpression reduced VCAM1 and CCL2 expression by hCMEC/D3 cells, suggesting that these miRs regulate leukocyte adhesion by modulating the expression of adhesion-associated endothelial mRNA targets. Hence, human brain endothelial miR-126 and miR-126* could be used as a therapeutic tool to reduce leukocyte adhesion and thus reduce neuroinflammation

Bi-allelic Variants in the GPI Transamidase Subunit PIGK Cause a Neurodevelopmental Syndrome with Hypotonia, Cerebellar Atrophy, and Epilepsy

Glycosylphosphatidylinositol (GPI)-anchored proteins are critical for embryogenesis, neurogenesis, and cell signaling. Variants in several genes participating in GPI biosynthesis and processing lead to decreased cell surface presence of GPI-anchored proteins (GPI-APs) and cause inherited GPI deficiency disorders (IGDs). In this report, we describe 12 individuals from nine unrelated families with 10 different bi-allelic PIGK variants. PIGK encodes a component of the GPI transamidase complex, which attaches the GPI anchor to proteins. Clinical features found in most individuals include global developmental delay and/or intellectual disability, hypotonia, cerebellar ataxia, cerebellar atrophy, and facial dysmorphisms. The majority of the individuals have epilepsy. Two individuals have slightly decreased levels of serum alkaline phosphatase, while eight do not. Flow cytometric analysis of blood and fibroblasts from affected individuals showed decreased cell surface presence of GPI-APs. The overexpression of wild-type (WT) PIGK in fibroblasts rescued the levels of cell surface GPI-APs. In a knockout cell line, transfection with WT PIGK also rescued the GPI-AP levels, but transfection with the two tested mutant variants did not. Our study not only expands the clinical and known genetic spectrum of IGDs, but it also expands the genetic differential diagnosis for cerebellar atrophy. Given the fact that cerebellar atrophy is seen in other IGDs, flow cytometry for GPI-APs should be considered in the work-ups of individuals presenting this feature

The broad phenotypic spectrum of PPP2R1A-related neurodevelopmental disorders correlates with the degree of biochemical dysfunction

Purpose: Neurodevelopmental disorders (NDD) caused by protein phosphatase 2A (PP2A) dysfunction have mainly been associated with de novo variants in PPP2R5D and PPP2CA, and more rarely in PPP2R1A. Here, we aimed to better understand the latter by characterizing 30 individuals with de novo and often recurrent variants in this PP2A scaffolding Aα subunit. Methods: Most cases were identified through routine clinical diagnostics. Variants were biochemically characterized for phosphatase activity and interaction with other PP2A subunits. Results: We describe 30 individuals with 16 different variants in PPP2R1A, 21 of whom had variants not previously reported. The severity of developmental delay ranged from mild learning problems to severe intellectual disability (ID) with or without epilepsy. Common features were language delay, hypotonia, and hypermobile joints. Macrocephaly was only seen in individuals without B55α subunit-binding deficit, and these patients had less severe ID and no seizures. Biochemically more disruptive variants with impaired B55α but increased striatin binding were associated with profound ID, epilepsy, corpus callosum hypoplasia, and sometimes microcephaly. Conclusion: We significantly expand the phenotypic spectrum of PPP2R1A-related NDD, revealing a broader clinical presentation of the patients and that the functional consequences of the variants are more diverse than previously reported

Transcriptional Profiling of Human Brain Endothelial Cells Reveals Key Properties Crucial for Predictive In Vitro Blood-Brain Barrier Models

Brain microvascular endothelial cells (BEC) constitute the blood-brain barrier (BBB) which forms a dynamic interface between the blood and the central nervous system (CNS). This highly specialized interface restricts paracellular diffusion of fluids and solutes including chemicals, toxins and drugs from entering the brain. In this study we compared the transcriptome profiles of the human immortalized brain endothelial cell line hCMEC/D3 and human primary BEC. We identified transcriptional differences in immune response genes which are directly related to the immortalization procedure of the hCMEC/D3 cells. Interestingly, astrocytic co-culturing reduced cell adhesion and migration molecules in both BECs, which possibly could be related to regulation of immune surveillance of the CNS controlled by astrocytic cells within the neurovascular unit. By matching the transcriptome data from these two cell lines with published transcriptional data from freshly isolated mouse BECs, we discovered striking differences that could explain some of the limitations of using cultured BECs to study BBB properties. Key protein classes such as tight junction proteins, transporters and cell surface receptors show differing expression profiles. For example, the claudin-5, occludin and JAM2 expression is dramatically reduced in the two human BEC lines, which likely explains their low transcellular electric resistance and paracellular leakiness. In addition, the human BEC lines express low levels of unique brain endothelial transporters such as Glut1 and Pgp. Cell surface receptors such as LRP1, RAGE and the insulin receptor that are involved in receptor-mediated transport are also expressed at very low levels. Taken together, these data illustrate that BECs lose their unique protein expression pattern outside of their native environment and display a more generic endothelial cell phenotype. A collection of key genes that seems to be highly regulated by the local surroundings of BEC within the neurovascular unit are presented and discussed

Lewis Base Mediated β-Elimination and Lewis Acid Mediated Insertion Reactions of Disilazido Zirconium Compounds

The reactivity of a series of disilazido zirconocene complexes is dominated by the migration of anionic groups (hydrogen, alkyl, halide, OTf) between the zirconium and silicon centers. The direction of these migrations is controlled by the addition of two-electron donors (Lewis bases) or two-electron acceptors (Lewis acids). The cationic nonclassical [Cp2ZrN(SiHMe2)2]+ ([2]+) is prepared from Cp2Zr{N(SiHMe2)2}H (1) and B(C6F5)3 or [Ph3C][B(C6F5)4], while reactions of B(C6F5)3 and Cp2Zr{N(SiHMe2)2}R (R = Me (3), Et (5), n-C3H7 (7), CH═CHSiMe3 (9)) provide a mixture of [2]+ and [Cp2ZrN(SiHMe2)(SiRMe2)]+. The latter products are formed through B(C6F5)3 abstraction of a β-H and R group migration from Zr to the β-Si center. Related β-hydrogen abstraction and X group migration reactions are observed for Cp2Zr{N(SiHMe2)2}X (X = OTf (11), Cl (13), OMe (15), O-i-C3H7 (16)). Alternatively, addition of DMAP (DMAP = 4-(dimethylamino)pyridine) to [2]+ results in coordination to a Si center and hydrogen migration to zirconium, giving the cationic complex [Cp2Zr{N(SiHMe2)(SiMe2DMAP)}H]+ ([19]+). Related hydrogen migration occurs from [Cp2ZrN(SiHMe2)(SiMe2OCHMe2)]+ ([18]+) to give [Cp2Zr{N(SiMe2DMAP)(SiMe2OCHMe2)}H]+ ([22]+), whereas X group migration is observed upon addition of DMAP to [Cp2ZrN(SiHMe2)(SiMe2X)]+ (X = OTf ([12]+), Cl ([14]+)) to give [Cp2Zr{N(SiHMe2)(SiMe2DMAP)}X]+ (X = OTf ([26]+), Cl ([20]+)). The species involved in these transformations are described by resonance structures that suggest β-elimination. Notably, such pathways are previously unknown in early metal amide chemistry. Finally, these migrations facilitate direct Si–H addition to carbonyls, which is proposed to occur through a pathway that previously had been reserved for later transition metal compounds