Table 14 definition

Table 14. The Java constructor for Lexical Entry By default a lexical entry is valid if it contains a not empty identifier and part of speech. The attribute isvalid is crucial for the software since the procedures skips non valid lexical entries.
Table 14 means the table entitled “Aircraft Information Table 767-316ER 2013 Aircraft – 2010 $”as revised
Table 14. Malaysia's Trade with US post TPPA Change in BOT of Malaysia with US post TPPA (1000USD) 84 -- NUCLEAR REACTORS, BOILERS, MACHINERY AND MECHANICAL APPLIANCES; PARTS THEREOF -95'325 24 -- TOBACCO AND MANUFACTURED TOBACCO SUBSTITUTES -76'736 73 -- ARTICLES OF IRON OR STEEL -74'267 85 -- ELECTRICAL MACHINERY AND EQUIPMENT AND PARTS THEREOF; SOUND RECORDERS AND REPRODUCERS, TELEVISION IMAGE AND SOUND RECORDERS AND REPRODUCERS, AND PARTS AND ACCESSORIES OF SUCH ARTICLES -37'008 70 -- GLASS AND GLASSWARE -27'357 39 -- PLASTICS AND ARTICLES THEREOF -25'061 32 -- TANNING OR DYEING EXTRACTS; TANNINS AND THEIR DERIVATIVES; DYES, PIGMENTS AND OTHER COLOURING MATTER; PAINTS AND VARNISHES; PUTTY AND OTHER MASTICS; INKS -22'661 48 -- PAPER AND PAPERBOARD; ARTICLES OF PAPER PULP, OF PAPER OR OF PAPERBOARD -21'582 76 -- ALUMINIUM AND ARTICLES THEREOF -17'583 35 -- ALBUMINOIDAL SUBSTANCES; MODIFIED STARCHES; GLUES; ENZYMES -13'605 83 -- MISCELLANEOUS ARTICLES OF BASE METAL -11'698 54 -- MAN-MADE FILAMENTS; STRIP AND THE LIKE OF MAN-MADE TEXTILE MATERIALS 10'396 27 -- MINERAL FUELS, MINERAL OILS AND PRODUCTS OF THEIR DISTILLATION; BITUMINOUS SUBSTANCES; MINERAL WAXES 11'055 23 -- RESIDUES AND WASTE FROM THE FOOD INDUSTRIES; PREPARED ANIMAL FODDER 11'440 44 -- WOOD AND ARTICLES OF WOOD; WOOD CHARCOAL 15'096 38 -- MISCELLANEOUS CHEMICAL PRODUCTS 42'186 47 -- PULP OF WOOD OR OF OTHER FIBROUS CELLULOSIC MATERIAL; RECOVERED (WASTE AND SCRAP) PAPER OR PAPERBOARD 45'349 62 -- ARTICLES OF APPAREL AND CLOTHING ACCESSORIES, NOT KNITTED OR CROCHETED 50'641 40 -- RUBBER AND ARTICLES THEREOF 80'916 61 -- ARTICLES OF APPAREL AND CLOTHING ACCESSORIES, KNITTED OR CROCHETED 88'214

Examples of Table 14 in a sentence

  • The Exhibits listed in Table 1.4 contain additional information concerning the scope of the Software Subscriptions and how Red Hat provides Subscription Services to you.

  • Breast Cancer Drug Pipeline: Number of Drugs by Development Stage as of 2010 (includes corresponding Graph/Chart) Cervical Cancer Colorectal CancerSelect FDA-Approved Colorectal Cancer Drugs Table 14.

  • Table 1.4 below lists the Software Subscriptions offered by Red Hat and the Unit descriptions that are used to measure your use of each Software Subscription.

  • You must purchase the appropriate number and type of JBoss xPaaS Subscription(s) for each Unit deployed on your premises or elsewhere based on the capacity of such Unit as described in Table 1.4. Multiple Software Subscriptions may be “stacked”.

  • Using the templates in Table 1-3 and Table 1-4, Table 1-5 and Table 1-6 for xUL/2DL and 1UL/3DL&/2UL/3DL NR CA/DC BCS4 band combination configurations requesting, respectively.

  • The results of the three light-curve analyses for HD 209458 are given in Table 14 and are not in good agreement.

  • Descriptions of Red Hat Software Subscriptions: Table 1.4 below lists the Software Subscriptions offered by Red Hat and the Unit descriptions that are used to measure your use of each Software Subscription.

  • Submit compliance reports and startup, shutdown, and malfunction reports based on the requirements in Table 14 to this subpart, and not based on the requirements in §63.999.

  • See Table 1-4 to determine when the travel status begins and ends for an aircrew member or courier.

  • See Table 14 of Appendix A for historical information about recent trades of partnership interests in the partnerships.


More Definitions of Table 14

Table 14. Classification accuracy of Quadratic Discriminant Function Analysis (QDFA) and Random Forest (RF) classificators using only δ18O isotope measurements a) from the spawning adult baseline using YOY otolith portion (current GBYP-Phase10), b) from the yearling baseline samples (GBYP- Phase3 and Xxxxxx et al. 2014), and c) from the spawning adult baseline using yearling otolith portion (GBYP-Phase8 and Xxxxxx et al. 2020). a) Adult baseline (YOY signature) b) Yearling baseline c) Adult baseline (Yearling signature) Estimated origin Estimated origin Estimated origin Origin Accuracy QDFA (%) Accuracy RF (%) Accuracy QDFA (%) Accuracy RF (%) Accuracy QDFA (%) Accuracy RF (%) Med 97.1 95.2 91.7 81.9 97.5 95 Gom 76.2 64.7 67 78.3 93.4 92.5 Total 94.2 90.9 80.7 80.3 95.6 93.9
Table 14. Longline catches in the I-Kiribati EEZ (1999 - 2004) Country Species 1999 2000 2001 2002 2003 2004 Japan Bigeye 942 37% 2,731 49% 2,121 56% 2,679 60% 298 50% 483 70% Yellowfin 762 30% 2,428 43% 1,271 34% 1,513 34% 217 37% 134 20% Billfish 794 32% 293 5% 262 7% 164 4% 26 4% 38 6% Others 21 1% 132 2% 137 4% 120 3% 53 9% 31 5% Sub-total 2,519 100% 5,584 100% 3,792 100% 4,476 100% 594 100% 686 100% Korea Bigeye 5,003 50% 7,298 53% 5,983 50% 6,221 53% 3,298 41% 2,271 45% Yellowfin 3,333 33% 4,186 31% 4,149 35% 3,166 27% 2,538 32% 2,143 43% Billfish 579 6% 1,844 13% 116 1% 853 7% 809 10% 441 9% Others 1,128 11% 369 3% 1,616 14% 1,609 14% 1,397 17% 174 3% Sub-total 10,043 100% 13,697 100% 11,864 100% 11,849 100% 8,042 100% 5,029 100% Taiwan Bigeye 135 46% 1,430 4% 6,673 10% 327 18% 629 38% 279 50% Yellowfin 70 24% 9,695 26% 11,423 17% 792 43% 392 24% 167 30% Billfish 70 24% 6,625 17% 11,129 17% 129 7% 149 9% 35 6% Others 19 6% 20,110 53% 37,237 56% 576 32% 485 29% 78 14% Sub-total 294 100% 37,860 100% 66,463 100% 1,824 100% 1,655 100% 559 100% China Bigeye 0 0% 0 0% 0 0% 1,293 41% 0 0% 0 0% Yellowfin 0 0% 0 0% 0 0% 280 9% 0 0% 0 0% Billfish 0 0% 0 0% 0 0% 15 0% 0 0% 0 0% Others 0 0% 0 0% 0 0% 1,588 50% 0 0% 0 0% Sub-total 0 0% 0 0% 0 0% 3,176 100% 0 0% 0 0% TOTAL Bigeye 6,080 47% 11,459 20% 14,778 18% 10,520 49% 4,225 41% 3,033 48% Yellowfin 4,165 32% 16,309 29% 16,843 21% 5,751 27% 3,147 31% 2,444 39% Billfish 1,443 11% 8,762 15% 11,507 14% 1,161 5% 984 10% 514 8% Others 1,168 9% 20,611 36% 38,990 47% 3,893 18% 1,935 19% 283 5% TOTAL 12,856 100% 57,141 100% 82,118 100% 21,325 100% 10,291 100% 6,274 100% Source: Kiribati Tuna Fisheries Report, 2005 Japan is the second largest long line flag operating in I-Kiribati waters whose catch has also dropped in recent (2003 –– 2004) years. Again bigeye represents around half or more of the catch (70% in 2004) with yellowfin providing around a third of the catch. The only other significant foreign fleet operating in I-Kiribati waters is from Taiwan. The Taiwanese catch over 2000 and 2001 was very high (37,860t. and 66,463 t respectively) but dropped down to 559 t. in 2004. During the periods of high catches, in contrast to the other main fleets, bigeye represented less than 10% of the catch, which was dominated by ‘‘other species’’. The Spanish surface long line fleet did not carry out any fishing activity in the western and central zones of the Pacific Ocean prior to 2004. During the first quarter of the year 2004 experim...
Table 14. Mozambique’s Trade Balance, 1996-2006 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Merchandising Trade

Related to Table 14

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