19 research outputs found

    PETROLEUM GEOCHEMISTRY OF KUCHALLI -1 IN THE NIGERIAN SECTOR OF THE CHAD BASIN

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    Kuchalli -1 well, one of the twenty-three exploratory oil wells drilled in the Nigerian sector of the Chad Basin penetrated a Cretaceous succession comprising the Bima, Gongila, Fika and Chad formations. Organic geochemical analyses were carried out to assess the source-rock potential of forty (40) selected ditch cuttings. Total Organic Carbon (TOC) content was found to vary between 0.5 – 2.0wt % (moderate to good) at a depth of 1700m and 2300m. Hydrogen Index (HI) values correlated against TOC and Tmax values indicate gas generative potential. Results of the investigation show that the Chad Basin has hydrocarbon source rock potential at the indicated interval. TOC of > 0.5wt% was recorded in both the Gongila and Fika shales. The Bima Sandstone and the Gombe Sandstone could serve as potential reservoir rocks. An integrated exploration programme is recommended for use in the Chad Basin to enable a better understanding of the petroleum systems of the basin

    Половой Π΄ΠΈΠΌΠΎΡ€Ρ„ΠΈΠ·ΠΌ ΡΠΎΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡ Π΄Π»ΠΈΠ½Ρ‹ ΠΏΠ°Π»ΡŒΡ†Π΅Π² Ρ€ΡƒΠΊ Ρƒ этничСской Π³Ρ€ΡƒΠΏΠΏΡ‹ ΠΈΠ³Π΅Π΄Π΅ Π² НигСрии

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    Nowadays sex-age gap, stature, and ancestral ties are used as biological markers to identify people for forensic purposes. This study was carried out to investigate sexual dimorphic characterization in a small ethnic group in northern Nigeria as seen in hand lengths and ratios. The present study was conducted on 862 subjects (308 males and 554 females) aged 11 to 19. Hand length measurements were taken from the ventral crease to the tip of the finger as r2d, l2d, l2d, l4d, and 2d:4d respectively. Student’s t-test was used to describe data and sex differentiation. Pearson’s correlation analysis was applied to establish relationship between stature and age with hand length ratios. Multiple regression models were generated to back up the strength of relationship by prediction from digit lengths for stature. P<0.05 was considered statistically significant.БвСдСния ΠΎ возрастС, ростС ΠΈ происхоТдСнии часто ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡŽΡ‚ Π² ΠΏΡ€ΠΎΡ†Π΅ΡΡΡƒΠ°Π»ΡŒΠ½Ρ‹Ρ… цСлях Π² качСствС биологичСских ΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ² ΠΏΡ€ΠΈ ΠΈΠ΄Π΅Π½Ρ‚ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ людСй. НастоящСС исслСдованиС Π±Ρ‹Π»ΠΎ Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½ΠΎ Π½Π° ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠ΅ Ρ‡Π΅Ρ€Ρ‚ ΠΏΠΎΠ»ΠΎΠ²ΠΎΠ³ΠΎ Π΄ΠΈΠΌΠΎΡ€Ρ„ΠΈΠ·ΠΌΠ° Π² ΠΌΠ°Π»ΠΎΠΉ этничСской Π³Ρ€ΡƒΠΏΠΏΠ΅ Π½Π° сСвСрС НигСрии, ΠΏΡ€ΠΎΡΠ²Π»ΡΡŽΡ‰Π΅Π³ΠΎΡΡ Π² Ρ€Π°Π·Π»ΠΈΡ‡ΠΈΠΈ ΠΏΡ€ΠΎΠΏΠΎΡ€Ρ†ΠΈΠΉ ΠΏΠ°Π»ΡŒΡ†Π΅Π² Ρ€ΡƒΠΊ. Π’ Π½Π΅ΠΌ приняли участиС 862 испытуСмых (308 муТского ΠΈ 554 ТСнского ΠΏΠΎΠ»Π°) Π² возрастС ΠΎΡ‚ 11 Π΄ΠΎ 19 Π»Π΅Ρ‚. Π˜Π·ΠΌΠ΅Ρ€ΡΠ»ΠΈ расстояниС ΠΎΡ‚ Π½ΠΈΠΆΠ½Π΅ΠΉ складки Π·Π°ΠΏΡΡΡ‚ΡŒΡ Π΄ΠΎ ΠΊΠΎΠ½Ρ‡ΠΈΠΊΠ° ΠΏΠ°Π»ΡŒΡ†Π° послС Ρ‡Π΅Π³ΠΎ Π΄Π»ΠΈΠ½Ρ‹ ΠΏΠ°Π»ΡŒΡ†Π΅Π² прСдставляли ΠΊΠ°ΠΊ r2d, l2d, r4d, l4d ΠΈ Π² Π²ΠΈΠ΄Π΅ ΠΏΠ°Π»ΡŒΡ†Π΅Π²ΠΎΠ³ΠΎ ΡΠΎΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡ 2d:4d соотвСтствСнно 1. Для описания Π΄Π°Π½Π½Ρ‹Ρ… ΠΈ ΠΏΠΎΠ»ΠΎΠ²ΠΎΠΉ Π΄ΠΈΡ„Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠ°Ρ†ΠΈΠΈ использовали t-ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠΉ Π‘Ρ‚ΡŒΡŽΠ΄Π΅Π½Ρ‚Π°. ΠšΠΎΡ€Ρ€Π΅Π»ΡΡ†ΠΈΠΎΠ½Π½Ρ‹ΠΉ Π°Π½Π°Π»ΠΈΠ· ΠŸΠΈΡ€ΡΠΎΠ½Π° примСняли для установлСния взаимосвязи ΠΌΠ΅ΠΆΠ΄Ρƒ ростом ΠΈ возрастом ΠΈ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΠ³ΠΎ влияния этих ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² Π½Π° ΡΠΎΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡ Π΄Π»ΠΈΠ½Ρ‹ ΠΏΠ°Π»ΡŒΡ†Π΅Π² Ρ€ΡƒΠΊ. Для подтвСрТдСния устойчивости выявлСнных взаимосвязСй ΠΌΠ΅ΠΆΠ΄Ρƒ Π΄Π»ΠΈΠ½ΠΎΠΉ ΠΏΠ°Π»ΡŒΡ†Π΅Π² ΠΈ ростом Π±Ρ‹Π»ΠΈ сгСнСрированы ΠΌΠΎΠ΄Π΅Π»ΠΈ мноТСствСнной рСгрСссии, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·ΠΈΡ€ΠΎΠ²Π°Π»ΠΈ рост ΠΏΠΎ установлСнной Π΄Π»ΠΈΠ½Π΅ ΠΏΠ°Π»ΡŒΡ†Π΅Π². ΠŸΠΎΠ»ΡƒΡ‡Π΅Π½Π½ΠΎΠ΅ Π -Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ < 0,05 ΡΠ²ΠΈΠ΄Π΅Ρ‚Π΅Π»ΡŒΡΡ‚Π²ΡƒΠ΅Ρ‚ ΠΎ статистичСской значимости Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π½ΠΎΠ³ΠΎ исслСдования.ΠŸΡ€ΠΈΠΌΠ΅Ρ‡Π°Π½ΠΈΠ΅ Ρ€Π΅Π΄Π°ΠΊΡ†ΠΈΠΈ. Π’ послСднСС дСсятилСтиС Π²ΠΎ всСм ΠΌΠΈΡ€Π΅ Π² криминалистикС ΠΈ судСбной ΠΌΠ΅Π΄ΠΈΡ†ΠΈΠ½Π΅ Π·Π°ΠΌΠ΅Ρ‚Π½ΠΎ выросло количСство мСТдисциплинарных исслСдований ΠΌΠ½ΠΎΠ³ΠΈΡ… Ρ‚Ρ€Π°Π΄ΠΈΡ†ΠΈΠΎΠ½Π½Ρ‹Ρ… антропомСтричСских ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ. Π­Ρ‚ΠΎ обусловлСно Π½ΠΎΠ²Ρ‹ΠΌΠΈ возмоТностями использования соврСмСнных ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½Ρ‹Ρ… Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ Π±ΠΎΠ»ΡŒΡˆΠΈΡ… массивов Π΄Π°Π½Π½Ρ‹Ρ… ΠΈ ΠΏΠΎΡΠ»Π΅Π΄ΡƒΡŽΡ‰Π΅Π³ΠΎ опрСдСлСния ΠΈΠ΄Π΅Π½Ρ‚ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΎΠ½Π½ΠΎΠΉ ΠΈ диагностичСской значимости ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΎΠ² Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ°. ΠšΡ€ΠΎΠΌΠ΅ Ρ‚ΠΎΠ³ΠΎ, возобновились исслСдования, Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½Π½Ρ‹Π΅ Π½Π° созданиС высокоинформативных ΠΈΠ½Ρ‚Π΅Π³Ρ€ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… криминалистичСских ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ°, Π²ΠΊΠ»ΡŽΡ‡Π°ΡŽΡ‰ΠΈΡ… Π½Π° ряду с Π΄Ρ€ΡƒΠ³ΠΈΠΌΠΈ Π΄Π°Π½Π½Ρ‹Π΅ ΠΎ Π΅Π³ΠΎ общСфизичСских ΠΈ анатомичСских ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠ°Ρ…, Π² Ρ‚ΠΎΠΌ числС ΠΎ ΠΏΠΎΠ»ΠΎΠ²ΠΎΠΉ принадлСТности, конституции, возрастС ΠΈ ростС. Активно Ρ€Π°Π·Ρ€Π°Π±Π°Ρ‚Ρ‹Π²Π°ΡŽΡ‚ΡΡ биомСтричСскиС Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈΠ΄Π΅Π½Ρ‚ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ ΠΈ Π°ΡƒΡ‚Π΅Π½Ρ‚ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ° ΠΏΠΎ Ρ€Π°Π·ΠΌΠ΅Ρ€Π½Ρ‹ΠΌ ΠΈ ΠΈΠ½Ρ‹ΠΌ характСристикам Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… частСй Ρ€ΡƒΠΊ. Π’ΠΎ ΠΌΠ½ΠΎΠ³ΠΈΡ… Π·Π°Ρ€ΡƒΠ±Π΅ΠΆΠ½Ρ‹Ρ… ΠΈ ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… криминалистичСских ΠΈ судСбно-мСдицинских пСриодичСских изданиях постоянно ΠΏΡƒΠ±Π»ΠΈΠΊΡƒΡŽΡ‚ΡΡ Π½Π°ΡƒΡ‡Π½Ρ‹Π΅ ΡΡ‚Π°Ρ‚ΡŒΠΈ, посвящСнныС Π°Π½Π°Π»ΠΈΠ·Ρƒ спСцифичСских особСнностСй антропомСтричСских ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… рас, Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΡΡ‚Π΅ΠΉ, ΠΎΡ‚Π΄Π΅Π»ΡŒΠ½Ρ‹Ρ… Π½Π΅Π±ΠΎΠ»ΡŒΡˆΠΈΡ… Π³Ρ€ΡƒΠΏΠΏ насСлСния. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹, ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Π΅ Π² Ρ…ΠΎΠ΄Π΅ исслСдований ΠΏΠΎΠ»ΠΎΠ²Ρ‹Ρ… ΠΈ возрастных Ρ€Π°Π·Π»ΠΈΡ‡ΠΈΠΉ антропомСтричСских характСристик Ρ€ΡƒΠΊ ΠΎΡ‚Π΄Π΅Π»ΡŒΠ½Ρ‹Ρ… достаточно ΠΈΠ·ΠΎΠ»ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… Π³Ρ€ΡƒΠΏΠΏ насСлСния ΠΏΡ€Π΅Π΄ΡΡ‚Π°Π²Π»ΡΡŽΡ‚ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Π½Ρ‹ΠΉ интСрСс ΠΈ для российских Π°Π½Ρ‚Ρ€ΠΎΠΏΠΎΠ»ΠΎΠ³ΠΎΠ², криминалистов ΠΈ судСбно-мСдицинских экспСртов.Учитывая ΠΌΠ΅ΠΆΠ΄ΠΈΡΡ†ΠΈΠΏΠ»ΠΈΠ½Π°Ρ€Π½ΡƒΡŽ Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½Π½ΠΎΡΡ‚ΡŒ ΠΆΡƒΡ€Π½Π°Π»Π° «ВСория ΠΈ ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠ° судСбной экспСртизы» ΠΈ Π΅Π³ΠΎ Π²ΠΎΡΡ‚Ρ€Π΅Π±ΠΎΠ²Π°Π½Π½ΠΎΡΡ‚ΡŒ Π½Π΅ Ρ‚ΠΎΠ»ΡŒΠΊΠΎ срСди криминалистов, Π½ΠΎ ΠΈ срСди судСбно-мСдицинских экспСртов, рСдакция приняла Ρ€Π΅ΡˆΠ΅Π½ΠΈΠ΅ ΠΎΠΏΡƒΠ±Π»ΠΈΠΊΠΎΠ²Π°Ρ‚ΡŒ Π² ΠΎΡ€ΠΈΠ³ΠΈΠ½Π°Π»Π΅ ΠΈ ΠΏΠ΅Ρ€Π΅Π²ΠΎΠ΄Π΅ ΠΏΠΎΡΡ‚ΡƒΠΏΠΈΠ²ΡˆΡƒΡŽ ΠΈΠ· НигСрии ΡΡ‚Π°Ρ‚ΡŒΡŽ, ΠΏΠΎΡΠ²ΡΡ‰Π΅Π½Π½ΡƒΡŽ ΠΏΠΎΠ»ΠΎΠ²ΠΎΠΌΡƒ Π΄ΠΈΠΌΠΎΡ€Ρ„ΠΈΠ·ΠΌΡƒ ΡΠΎΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡ Π΄Π»ΠΈΠ½Ρ‹ Ρ€ΡƒΠΊ прСдставитСлСй этничСской Π³Ρ€ΡƒΠΏΠΏΡ‹ ΠΈΠ³Π΅Π΄Π΅

    Planktonic agglutinated foraminiferal associations in the Cretacious Dukul formation of the Nigerian Upper Benue Trough

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    No Abstract. Global Journal of Geological Sciences Vol. 5 (1&2) 2007: pp. 55-6

    Analyzing Trio-Anthropometric Predictors of Hypertension: Determining the Susceptibility of Blood Pressure to Sexual Dimorphism in Body Stature

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    Background. Several studies had suggested that complex body stature could be a risk factor of hypertension. Objectives. We aim to correlate body mass index (BMI), waist-hip ratio (WHR), and waist-height ratio (WHtR) of rural dwellers in Afikpo community, Ebonyi State, Nigeria, with blood pressure parameters. Furthermore, we aim to ascertain how each of the anthropometric variables affects blood pressure in men and women, respectively. Materials and Methods. A sample of 400 (200 males and 200 females) adults aged 18–89 years were selected for the correlation cross-sectional study. Data for weight, height, waist, and hip circumferences were collected by means of anthropometric measurement protocol with the aid of a calibrated flexible tape and health scale and mercury sphygmomanometer for measurement of blood pressure. A participant was classified as being hypertensive if systolic blood pressure (SBP) was >140 mmHg and diastolic blood pressure (DBP) >90 mmHg. Pulse pressure was recorded as the numeric difference of SBP and DBP. Results. The result revealed that male BMI and WHR were higher than those of females while female WHtR was higher than that of males (P < 0.01). The prevalence of hypertension failed to correlate with sex among participants in the study (Ο‡2 = 0.567; P < 0.05). Variation in SBP and DBP of both sexes was dependent on BMI, WHtR, and waist and hip circumference, but not on WHR. The SBP of both sexes and female pulse pressure did correlate with age (P < 0.001). Waist circumference, BMI, and WHtR correctly predicted the variations in SBP, DBP, and pulse pressure. Conclusion. The strength of association of BMI, WHtR, and waist girth with SBP and DBP of both sexes was robust and similar, but inconsistent with WHR. Thus, a simple estimation of the trio-anthropometric predictors could serve as a means for routine check or preliminary diagnosis of a patient with hypertension
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