Physico-chemical Properties of Sodium Tungstate Catalyst

349-35

Physicochemical Properties of Sodium Molybdate Catalyst

741-74

Intensification of toxic chlorophenolic compounds degradation over efficient microwave-dried silica-doped tetragonal zirconia nanocatalysts

The work aims to evaluate the efficient microwave (MW) drying method of silica-doped tetragonal zirconia nanocatalysts (SZN-M) for intensification of the degradation of toxic chlorophenolic compounds. The catalyst dried under a conventional oven (SZN-O) was also conducted for comparison. The MW drying time was reduced six times and three times less energy was used than the conventional oven drying. The catalysts were characterized by Fourier-transform infrared, X-ray diffraction, electron spin resonance, nitrogen adsorption-desorption analyses, zeta potential, ultraviolet–visible diffuse reflectance spectroscopy and photoluminescence analyses. Compared with SZN-O, the SZN-M possessed a higher number of Si-O-Zr bonds that led to a greater amount of oxygen vacancies, metal defect sites, larger pore size as well as surface area, and hence displayed excellent performance toward the degradation of toxic 2-chlorophenol, 2-CP (92%), while only 67% for the former. The SZN-M achieved to reduce the total organic carbon and biological oxygen demand up to 88% and 89%, respectively, while for SZN-O, the reduction was up to 82% and 84%. The catalysts still remained active after five cycles and are highly capable of degrading various chlorophenolic compounds that could be very beneficial for the wastewater treatment

Study of the Transition Temperature of Mohr's Salt Analogue of Mn(II) by Distribution Measurement

396-39

Numerical Study on Mixing Characteristics of Circular and Non Circular Jets

The study of non-circular jet flows has become important due to their various applications such as aircraft exhaust, combustion chambers and injectors. The goal of present paper is to examine the impact of elliptical, square, and triangular shaped orifices on the mixing characteristics of a free jet with Mach number 0.8. Numerical simulations using an SST K-ω two-equation turbulence model were conducted with a Reynolds number of 3.46×105 for all cases. The mean velocity, decay rate, half-velocity width, spread rate, and turbulence intensity of the jet were analysed. The results showed that the triangular orifice provided the best mixing efficiency, with a shorter jet core length. The decay rate was found to be lowest for the square jet and highest for the triangular jet, which matches with the previous research. The asymmetric jets experienced two axis-switching points, while the square jet experienced a 450 rotation of its axes but no axis-switching. The core region had lower turbulence levels, while the highest turbulence levels were in the shear layer

Physico-chemical Properties of Bismuth Pyrovanadate Catalyst

210-21

Relationship between iron metabolism and thyroid hormone profile in hypothyroidism

Background: Iron and thyroid hormone metabolism are closely related with each other. Iron plays an important role for both the synthesis as well as metabolism of thyroid hormones acting as a component of many enzymes including thyroid peroxidase (TPO). So, iron deficiency can lead to abnormal functioning of thyroid gland. Ferritin is storage form of iron in our body. Several studies in showed that nutritional iron deficiency can significantly decrease the circulating levels of both T4 and T3 and it can also reduce peripheral conversion of T4 to T3. So, the aim of the study is to find out whether there is any relationship between hypothyroidism and iron metabolism.Methods: This cross-sectional descriptive study was conducted at Deben Mahata Government Medical College and Hospital, Purulia on 50 hypothyroid patients and 50 age and sex matched controls after imposing inclusion and exclusion criterias. Blood samples were collected and estimation of Serum TSH, fT4 and fT3, iron, ferritin and TIBC levels were done. Then the data obtained were analysed by proper statistical methods.Results: Out of 100 subjects 68 were male and rest were female. The mean serum TSH level in study population was significantly higher than that of comparison group. While serum fT3 and fT4 level in study group were lower than the control group and both were statistically significant. In the other hand, the mean serum ferritin and iron levels in cases were lower than that in controls and the mean TIBS was higher in study group and all the differences were statistically significant. There were significant correlation between Serum ferritin and serum iron (positive correlation), Serum ferritin and TSH (negative correlation), Serum TSH and fT4 (negative correlation) but there was no significant relationship between serum TSH and iron.Conclusions: The iron metabolism is disturbed in hypothyroidism reflected by low serum ferritin and iron

Fluorosis and its impact on thyroid hormones: a cross-sectional study in Bankura District, West Bengal, India

Background: Fluorosis is an important public health problem in India. Fluoride ions can interact with iodide which can leads to abnormal thyroid function.Methods: The present descriptive, community based study was conducted over a period of 1 year and 6 months in the endemic and non-endemic areas of Bankura district with the sample size of 200. High serum fluoride level (≥0.02 mg/L) was also noted in fluorosis endemic areas (39%) with respect to non-endemic areas (3%). Thyroid profiles were investigated among the participants.Results: Hypothyroidism was found to be higher in proportion in endemic regions (34%) with respect to non-endemic regions (20%). The levels of serum TSH, fT4 and fluoride in endemic areas were correlated significantly with non-endemic areas. Fluoride level was found to be in significant positive correlation with TSH level and in negative significant correlation with fT4 and fT3.Conclusions: High fluoride level could produce hypofunctioning of thyroid gland and so hypothyroidism was found to be higher in proportion in fluorosis endemic areas in respect to non-endemic areas

A DWARF DETERMINATE PLANT TYPE FOR ACHIEVING HIGHER AND STABLE YIELD IN BLACKGRAM (VIGNA MUNGO L. HEPPER)

In the present study a dwarf determinate type of urdbean was used along with two traditional varieties and two elite lines to test their performance at higher plant density and nitrogen fertilizer levels. Genotype differ significantly for all the traits studied, spacing showed significant difference for total number of pods per plant, harvest index and plot yield while nitrogen levels showed significant difference for total number of pods per plant, 100 seed weight, dry weight of stem, husk, biological yield and harvest index. Closer spacing enhanced seed yield by 36.5 percent, harvest index by 29.9 percent and plot yield by 47.9 percent while higher nitrogen level enhanced dry weight of stem, husk and biological yield by 26.7, 34.1 and 17.5 percent respectively but reduced harvest index by 18.1 percent. The dwarf determinate line (V.K.6) recorded lower values of pods per plant, dry weight of stem, leaves, husk and biological yield but higher number of seeds per pod, 100 seed weight, seed yield per plant and seed yield per plot. Mean performance and stability parameter for grain yield and its component traits revealed that the genotype V.K.6 exhibited the highest seed yield per plant (2.87 g) and plot yield (60.53 g) -over six environments. The dwarf determinate type showed wider adaptability and higher stable yield over environments and therefore can be recommended for cultivation by the farmers

How do Multimodal Foundation Models Encode Text and Speech? An Analysis of Cross-Lingual and Cross-Modal Representations

Multimodal foundation models aim to create a unified representation space that abstracts away from surface features like language syntax or modality differences. To investigate this, we study the internal representations of three recent models, analyzing the model activations from semantically equivalent sentences across languages in the text and speech modalities. Our findings reveal that: 1) Cross-modal representations converge over model layers, except in the initial layers specialized at text and speech processing. 2) Length adaptation is crucial for reducing the cross-modal gap between text and speech, although current approaches’ effectiveness is primarily limited to high-resource languages. 3) Speech exhibits larger cross-lingual differences than text. 4) For models not explicitly trained for modality-agnostic representations, the modality gap is more prominent than the language gap