REMOVAL OF FLUORIDE FROM DRINKING WATER THROUGH LOW-COST TECHNIQUES

Fluoride ions (F-) from natural sources or industrial wastewater are the main cause of many pathological conditions in people living in more than 25 countries. Thus, removing F- from drinking water is pivotal for preventing serious health consequences. The WHO recommends a limit of 1,5 mg/L for fluoride in drinking. Excessive amounts of fluoride in drinking water are prevalent in Pakistan, leading to related health risks. Low-cost techniques for the defluoridation of drinking water can be used. In this study, the removal of fluoride from drinking water by an adsorption method using low-cost materials/adsorbents, such as marble chips, wheat husks, rice husks, egg shells, concrete, fuller earth, fly ash, freshly fired bricks, and charcoal, at different contact times and different bed thicknesses were investigated. A batch sampling technique was used for sample collection. On average, marble chips, wheat husks, rice husks, egg shells, concrete, fuller earth, fly ash, freshly fired bricks, and activated charcoal (rice husk) resulted in 71,99 %; 90,99 %; 66,73 %; 90,99 %; 63,30 %; 71,99 %; 22,60 %; 49,67 %; and 90,13 % fluoride removal, respectively. Therefore, defluoridation using these materials is desirable. The performance of adsorbents depends on parameters such as contact time, depth of the adsorbent media, and pH. The bed thickness of the adsorbent has a minor effect on fluoride removal. The major contributors to fluoride removal from water are contact time and adsorbent composition

Indirect Fluorescent Antibody Technique based Prevalence of Surra in Equines

This project was carried out to find the prevalence of trypanosomiasis in equine in District Gujranwala by using indirect fluorescent antibody technique and thin smear method. Blood samples were collected from a total of 200 horses and donkeys of different ages and either sex. Duplicate thin blood smears were prepared from each sample and remaining blood samples were centrifuged to separate the serum. Smears from each animal were processed for giemsa staining and indirect fluorescent antibody test (IFAT). Giemsa stained smears revealed Trypanosome infection in 4/200 (2.0%) samples and IFAT in 12/200 (6.0%) animals

SIGNIFICANCE OF CONSTRUCTED WETLANDS IN COMBATING POLLUTANTS FROM WASTEWATER: A SUSTAINABLE DEVELOPMENT PERSPECTIVE

Water contamination is the greatest hazard to public health. Addressing water scarcity and protecting accessible water sources necessitates the effective treatment of wastewater. This makes the use of sustainable solutions such as constructed wetlands (CWs) essential. CWs leverage natural processes involving wetland vegetation, soils, and microbial communities. This study evaluates the efficiency of a horizontal sub-surface flow CW, established with local plants at Hudiara drain, in removing pollutants such as Biochemical Oxygen Demand (BOD), Turbidity, Nitrates, Phosphates, and pH, across different months. The study reveals that while temperature and precipitation rates influence the CW's efficacy, the linear regression model indicates a strong correlation between phosphorus and BOD levels with precipitation. However, nitrates are sensitive to temperature, and turbidity is influenced by both temperature and precipitation within certain limits. Additional factors impacting CW performance include wastewater characteristics, design flow, and wetland location. When compared with Pakistan Environmental Quality Standards (PEQS), it is concluded that CWs are effective in wastewater treatment. By constructing CWs along the banks of wastewater drains, treated water from the outlet chamber can be collected and redirected, offering a viable solution to water scarcity challenges

In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory

Continually learning new classes from a few training examples without forgetting previous old classes demands a flexible architecture with an inevitably growing portion of storage, in which new examples and classes can be incrementally stored and efficiently retrieved. One viable architectural solution is to tightly couple a stationary deep neural network to a dynamically evolving explicit memory (EM). As the centerpiece of this architecture, we propose an EM unit that leverages energy-efficient in-memory compute (IMC) cores during the course of continual learning operations. We demonstrate for the first time how the EM unit can physically superpose multiple training examples, expand to accommodate unseen classes, and perform similarity search during inference, using operations on an IMC core based on phase-change memory (PCM). Specifically, the physical superposition of a few encoded training examples is realized via in-situ progressive crystallization of PCM devices. The classification accuracy achieved on the IMC core remains within a range of 1.28%--2.5% compared to that of the state-of-the-art full-precision baseline software model on both the CIFAR-100 and miniImageNet datasets when continually learning 40 novel classes (from only five examples per class) on top of 60 old classes.Comment: Accepted at the European Solid-state Devices and Circuits Conference (ESSDERC), September 202

Challenges of accurate gate length characterization with emphasis on the effects of intra-die thermal variation

For state-of-the-art semiconductor technologies, it is challenging to predict the performance and characteristics of an integrated circuit chip based on FET parameters measured from test structures placed outside the chip due to process variation induced intra-die variation of FET parameters. It is shown how intra-die gate length variation itself can cause significant variation in FET characteristics, stressing the need for accurate measurement of gate length. It is also discussed how significant intra-die thermal absorption variation is caused by non-optimized rapid thermal anneal (RTA) conditions. This variation is dependent on the ramp rate of the anneal tool and depends on local pattern density of various types of exposed layers of the wafer. It is shown that this variation can even create errors in the measurement of key Metal Oxide Semiconductor Field Effect Transistor (MOSFET) parameters like gate length and gate capacitance from test structures. Different electrical methods for measuring gate length will be discussed, namely, the resistive technique, where the resistance of the nominal poly-silicon line is normalized to a long-wide resistor; and the capacitive technique, where the capacitance of the nominal poly-silicon line is normalized to that of a long-wide plate gate capacitor. It is shown, for the first time, that the capacitive technique of gate length measurement is more immune to errors introduced by rapid thermal anneal (RTA) driven intra-die thermal absorption variation than resistive techniques. This is because, thermal anneal driven intra-die gate capacitance variation is much less than the sheet resistance variation. Methods of minimizing these measurement errors are briefly discussed

Role of Personal Level Determinants in Entrepreneurial Firm's Success

ABSTRACT The Paramount value of entrepreneurship in economic growth and development of a nation, entrepreneurs' sweeping role for entrepreneurship development, in the light of this, it is necessary to make out the special personality persona to be familiar with quantified people with entrepreneurial impending capabilities, to develop such capacities, to acquire and provide necessary skills and create a progressive environment, and eventually gets destination of growth and development for the nation. The purpose of this study is to add a few theoretical approaching into the role of entrepreneur in organizational success. This role investigated through peer-reviewed published in wide range of journals, publishing and proceedings. We present a conceptual framework exploring personal factors that are linked to ingredients that facilitate firm success and present a new model. Based on our model, it is possible to conclude that personal background of entrepreneur is not directly contribute to organizational success, rather it has great impact on psychological characteristics, managerial and leadership capabilities, and opportunity recognition and exploitation skillsthese factors have strong positive impact on organization success and performance

Enhanced Solubility and Stability of Aripiprazole in Binary and Ternary Inclusion Complexes Using Hydroxy Propyl Beta Cyclodextrin (HPβCD) and L-Arginine

The low water solubility of an active pharmaceutical ingredient (aripiprazole) is one of the most critical challenges in pharmaceutical research and development. This antipsychotic drug has an inadequate therapeutic impact because of its minimal and idiosyncratic oral bioavailability to treat schizophrenia. The main objective of this study was to improve the solubility and stability of the antipsychotic drug aripiprazole (ARP) via forming binary as well as ternary inclusion complexes with hydroxypropyl-β-cyclodextrin (HPβCD) and L-Arginine (LA) as solubility enhancers. Physical mixing and lyophilization were used in different molar ratios. The developed formulations were analyzed by saturation solubility analysis, and dissolution studies were performed using the pedal method. The formulations were characterized by FTIR, XRD, DSC, SEM, and TGA. The results showcased that the addition of HPβCD and LA inclusion complexes enhanced the stability, in contrast to the binary formulations and ternary formulations prepared by physical mixing and solvent evaporation. Ternary formulation HLY47 improved dissolution rates by six times in simulated gastric fluid (SGF). However, the effect of LA on the solubility enhancement was concentration-dependent and showed optimal enhancement at the ratio of 1:1:0.27. FTIR spectra showed the bond shifting, which confirmed the formation of new complexes. The surface morphology of complexes in SEM studies showed the rough surface of lyophilization and solvent evaporation products, while physical mixing revealed a comparatively crystalline surface. The exothermic peaks in DSC diffractograms showed diminished peaks previously observed in the diffractogram of pure drug and LA. Lyophilized ternary complexes displayed significantly enhanced thermal stability, as observed from the thermograms of TGA. In conclusion, it was observed that the preparation method and a specific drug-to-polymer and amino acid ratio are critical for achieving high drug solubility and stability. These complexes seem to be promising candidates for novel drug delivery systems development