This study investigates the access and equity challenges faced by tribal students in higher education institutions in Telangana, India. Despite various governmental initiatives aimed at improving educational outcomes for tribal communities, significant disparities persist. This research employs a comparative analysis across selected universities in Telangana, focusing on enrolment rates, retention, academic performance, and support services tailored for tribal students. Data is gathered through a combination of quantitative surveys and qualitative interviews with students, faculty, and administrators to gain a comprehensive understanding of the barriers and facilitators affecting tribal education. The findings reveal systemic inequities related to socio-economic status, cultural relevance of curricula, and the availability of financial and academic support. Moreover, the study highlights successful practices and policies implemented by certain institutions that promote inclusive education and enhance access for tribal students. The results underscore the need for targeted interventions to create a more equitable higher education landscape in Telangana, ultimately contributing to the empowerment of tribal communities and their representation in the academic sphere.

Dr gedam kamalakar

Background: Perinatal mortality remains high in developing countries, including Yemen. However, information on perinatal mortality in Yemen is lacking. This study aimed to find out the perinatal mortality rate in Aden General Hospital and to analyze the causes of perinatal mortality. Materials and Methods: This descriptive study was conducted at the Obstetrics and Gynecology Department of Aden General Hospital during the period from January 1, 2003 to June 30, 2004. It was a retrospective study for the first 6 months (January–June 2003) and prospective for the remaining period (July 2003–June 2004). Results: During the study period from January 1, 2003 to June 30, 2004, there were a total of 3770 births at Aden General Hospital, out of which there were 2976 births during the period from January to December 2003 and a further 794 births in the 6-month period from January to June 2004. The perinatal deaths were 166 (4.4%) giving a perinatal mortality rate of 44/1000 normal deliveries. Further analysis showed a total of 105 perinatal deaths in 2003 with a perinatal mortality rate of 35.3/1000 normal deliveries and 61 deaths in the period from January to June 2004 with a rate of 77/1000 normal deliveries. Unclassified deaths including premature cases accounted for 29% (n=48) of all causes, followed by mechanical causes 36 (21.7%). The mechanical causes are divided as follows, 33 (19. 9%) due to fetal distress and 3 (1.8%) due to breech presentation. Uncertain origin causes accounted for 19.3% (n=32) of all cases of death and toxemia was observed in 16 cases (9.6%), while malformation was found in 13 (7.8%) cases. Conclusion: The perinatal mortality rate in our center was 44/1000 deliveries. The major cause of perinatal mortality was prematurity, followed by mechanical causes. The most of the mortalities occurred outside the health facilities (extra-hospital).

Karishma

Communication is not always direct; it often involves nuanced elements like humor, irony, and sarcasm. This study introduces a novel two-level approach for sarcasm detection, leveraging Convolutional Neural Networks (CNNs). Convolutional neural networks (CNNs) are crucial for many deep learning applications, yet their deployment on IoT devices is challenged by resource constraints and the need for low latency, particularly in on-device training. Traditional methods of deploying large CNN models on these devices often lead to suboptimal performance and increased energy consumption. To address this, our paper proposes an energy-efficient CNN design by optimising batch normalisation operations. Batch normalisation is vital for deep learning, aiding in faster convergence and stabilising gradient flow, but there has been limited research on creating energy-efficient and lightweight CNNs with optimised batch normalisation. This study proposes a 3R (reduce, reuse, recycle) optimisation technique for batch normalization. This technique introduces an energy-efficient CNN architecture. We investigate the use of batch normalization optimization to streamline memory usage and computational complexity, aiming to uphold or improve model performance on CPU-based systems. Additionally, we evaluate its effectiveness across diverse datasets, focusing on energy efficiency and adaptability in different settings. Furthermore, we analyze how batch normalization influences the performance and effectiveness of activation functions and pooling layers in neural network designs. Our results highlight batch normalization's ability to enhance computational efficiency, particularly on devices with limited resources.

Jiby mariya jose

This study intends to describe assessment strategies for young students' online learning. The participants in this descriptive qualitative study were 15 primary school principals and 35 teachers teaching Years 4 and 5 in urban and rural schools on the island of Lombok, West Nusa Tenggara Province, who volunteered their participation after undergoing comparable procedures. Using operational concepts of assessment of learning for online learning, class observation, and interview were organized. The content and structure validity of the measures were evaluated in accordance with the developmental periods of young learners. The findings showed that the teachers assessed the primary students' cognitive, psychomotor, and affective domains interactively during the online class meetings, in their portfolio, and through attitude direct observation. Several assessment strategies were advocated to circumvent the shortcomings of online learning. A criterion-referenced evaluation was used to conduct the analysis. The theoretical implications of the findings suggest that the various assessment procedures adopted have decreased the negative washback of online exams; however, further research is required to determine the consistency of the outcomes of online tests with other types of evaluation.

Darrel ocampo

In this work a set of some cyclic peroxy ketals were tested for their antimalarial activities. Quantitative structure activity relationship (QSAR) analysis was applied to 20 organic compounds of the above mentioned derivatives using Physicochemical, informational and 2D-autocorelation parameters and modeled their antimalarial activity (logIC 50) values. The multiple regression analysis clearly indicates that 5 BIC, 1 IC, MATS4v and ST parameters yielded the best model having R 2 value of 0.9515. The predictive powers of the models were explained using LOO (Leave-One-Out) Cross validation procedure. The results are also discussed on the basis of ridge regression.

Dr. shweta sharma

Computer as a revolution left no area of life untouched in the present world. It is of tremendous help in all field of life. Hence, the knowledge of computer is a necessity for existence of everybody in this global village. The invention of computer has transformed our simple manual works to sophisticated life of automated works to meet the global demand for the higher productivity and increased efficiency with high precision. Computer is increasingly becoming compulsory in nearly all fields of studies, not because of anything but its accuracy and versatility in processing data. Many tasks at home or office are being automated rapidly with computer. Thus it is becoming apparent that in whatever discipline or working sector, the computer is now a very vital tool for efficiency improvement and precision of job or task execution. This is designed to meet the prerequisite need of everybody that are interested and wish to know about computers science and computing in general. A computer is an electronic device, operating under the control of instructions stored in its own memory. These instructions tell the achine what to do. The computer is capable of accepting data (input), processing data arithmetically and logically, producing output from the processing, and storing the results for future use. Most computers that sit on a desktop are called Personal Computers (PCs). The "computer" is an ensemble of different machines that you will be using to get your job done. A computer is primarily made of the Central Processing Unit (usually referred to as the computer), the monitor, the keyboard, and the mouse. Other pieces of hardware are commonly referred to as peripherals. In everyday life activities, we process data or encounter cases of data processing. A typical example of data processing is the generation of statement of student result from the marks score in an examination and continuous assessment. It is essential to know that information is as good as the data from which it is derived, and the transformation process which they are subjected to. Meaningless data or inappropriate processing produces wrong information. Thus computer gives you results corresponding to what data you supply and how you process it (i.e. ëgabbage- in, gabbage-outí) Summarily, the intelligent performance of a computer depends on correctness of input data and the intelligence performance of the human being that drives it.

Kamal singh

The decision of the government of India to allow foreign direct investment in higher education is based on a consultation paper prepared by the commerce ministry, which is marked by arguments, perverse logic and forced conclusions. FDI in any field does not have an attached objective of fulfilling social agenda of the welfare state. It is guided by profit and market. This would result in commoditization of education. As per past most foreign institutes invest in technical courses which market needs rather than in quality education and research which is important for creating and developing human resource. There is a shortage of funds in higher education sector. Here are not many ways in which this investment in this sector can be increased in this sector domestically. Since a large number of students go abroad for their higher education, it is sensible to allow foreign universities to set up their campuses here, in India. This would help in arresting the outflow of monetary and human capital. Further, foreign higher educational institutes would create competition with the local institutes making them internationally competitive this article examines the issues and financial compulsions, presented in the consultation paper

Dr gedam kamalakar

During COVID-19 pandemic health professional need to develop good communication skills. Good communication skills will lead to professionalism. The information that are given to patients, their families and the community has to be transparent, true and scientifically relevant. The awareness one creates about the pandemic includes mode of infection, transmission, symptoms, vaccines, vaccination, viral heterogeneity and mutations. Such transmission of true information requires proper training of health personnel including the social media in developing good communication skills

Mediterranean journal of pharmacy and pharmaceutical sciences

This study sets out to explore the Critical Success Factors (CSFs) necessary for Total Quality Management (TQM) implementation in hotels. It also aims to classify participating hotels into groups based on their TQM adoption by using cluster analysis. A quantitative survey method was applied. Data were collected from a sample of managers from four- and five-star hotels in Jordan, 170 questionnaires were distributed to managers and 104 usable questionnaires were returned. The findings revealed that TQM is existed and implemented in the hotel industry. The researcher then confirmed that four- and five-star hotels can be classified into two groups, namely, “high TQM adopters” and “low TQM adopters”.

Mukhles m. al-ababneh

Clinical microbiology serves as a partner to clinicians in the diagnosis and treatment of infectious diseases. Antibiotics are prescribed empirically before the availability of antimicrobial susceptibility testing data, especially when the patient's medical status could deteriorate by suspending the treatment. To investigate the impact of antimicrobial susceptibility testing on the management of outpatients with suspected bacterial infection in Libyan patients, a cross-sectional prospective study concluded on microbial microdroplet culture by including outpatients with suspected bacterial infection, who have done antimicrobial susceptibility testing. Thus, 53 Libyan patients with urinary tract infections and 14 Libyan patients with skin infections were included in this study. Before the availability of antimicrobial susceptibility testing data, 25 patients were appropriately treated while 42 patients were inappropriately treated. After the availability of antimicrobial susceptibility testing data, the number of appropriately treated patients increased to 57 patients. Thus, antimicrobial susceptibility testing improved the management of 41 patients by discontinuing an unnecessary antibiotic in four patients, starting necessary antibiotic therapy in 18 patients, and changing to more appropriate antibiotic in 19 patients. However, the antimicrobial susceptibility testing has no impact on the management of 24 patients and has led to the worsening of the management of two patients. The effect of antimicrobial susceptibility testing of antibiotic de-escalation was assessed in 35 patients; however, antibiotic de-escalation occurred in six patients. Thus, data of antimicrobial susceptibility testing has improved the management of Libyan outpatients with bacterial infection but their role in antibiotic de-escalation was slight

Mediterranean journal of pharmacy and pharmaceutical sciences

Worldwide, the threat created by antibiotic resistance to public health calls for immediate action. Antibiotic resistance is one of the main causes of the emergence and spread of dispensing of antibiotics without a prescription. This study aims to investigate the dispensing of antibiotics without a prescription and the reason behind that in the community pharmacy in Libya. The study was randomized analytical conducted between March and April 2023 among pharmacists and assistant pharmacists employed by community pharmacies in various Libyan areas Tripoli, Zawia, and Sabratha. The data were analyzed by Fisher's exact and Chi-square tests to predict the determinations of dispensing antibiotics without prescriptions. In this study, a total of 293 participants were included, 63 had been excluded because they did not meet the inclusion of the study. The remaining 230 were enrolled for final analysis, most of them were female subjects (70.7%). Findings showed that 78.7% of the participants consulted with patients about the reason for requesting a specific type of antibiotic, while 68.7% dispensed antibiotics with probiotics. Study participants with 2 - 4 years' work experience were 76.6% higher toward dispensing of antibiotics without a prescription (P=0.683). The major reason for dispensing antibiotics without prescriptions were pharmacists knowledgeable enough to give a patient antibiotics without a prescription (68.3%). In Libya, misuse of antibiotics by the public is widespread. People can purchase antibiotics without prescription. Thus, dispensing of antibiotics without a prescription in community pharmacies is an alarming issue in Libya which can increase antibiotics resistance. Pharmacists' knowledgeable is high in dispensing patients antibiotics without a prescription, but patient pressure and financial issues are the major reasons behind dispensing antibiotics without a prescription. It can be recommended that the importance of antimicrobial stewardship and the need for ongoing education support for community pharmacy professionals is of importance.

Mediterranean journal of pharmacy and pharmaceutical sciences

Objective As technology continues to improve, it plays an increasingly vital role in the practice of medicine. This study aimed to assess the feasibility of the implementation of virtual reality (VR) in a rheumatology clinic as a platform to administer guided meditation and biofeedback as a means of reducing chronic pain. Methods Twenty participants were recruited from a rheumatology clinic. These participants included adults with physician-diagnosed autoimmune disorders who were on a stable regimen of medication and had a score of at least 5 on the pain Visual Analog Scale (VAS) for a minimum of 4 days during the prior 30 days. VAS, part of most composite outcome measurements in rheumatology, is an instrument used to assess pain that consists of a straight line with the endpoints ranging from “no pain at all” and “pain as bad as it could be.” Patients were randomized into two groups that differed in the order in which they experienced the two VR modules. One module consisted of a guided meditation (GM) environment, whereas the other module consisted of a respiratory biofeedback (BFD) environment. Data on pain and anxiety levels were gathered before, during, and after the two modules. Results The three most common diagnoses among participants were rheumatoid arthiritis (RA), lupus, and fibromyalgia. There was a significant reduction in VAS scores after BFD and GM (P values = 0.01 and 0.04, respectively). There was a significant reduction in Facial Anxiety Scale after the GM compared with the BFD (P values = 0.02 and 0.08, respectively). Conclusion This novel study demonstrated that VR could be a feasible solution for the management of pain and anxiety in rheumatology patients. Further trials with varying treatment exposures and durations are required to solidify the viability of VR as a treatment option in rheumatology clinics

Ben spielberg

The most important factor that affects the crop production in terms of nutritional content of foliar plants is the global climate change. Herbivore’s growth, development, survival and geographical distribution all are determined by elevated CO2 and temperature. The interactions between herbivores and plants have changed due to increasing level of CO2 and temperature. The effect of high CO2 and temperature on grain legume plant which change in to plant physiology (e.g., nutritional content, foliage biomass) and how it change in herbivory metabolism rate and food consumption rate. Plant injury is determined by two factors viz. resistance and tolerance and both are influenced by greater CO2 and temperature. Legumes are an important source of food and feed in the form of proteins and also improve the soil environment. The repercussions of the abiotic factors mentioned above needs discussion among the scientific community. We may able to limit the negative repercussions of stated factors in future breeding projects by harnessing the practical favourable impacts and by including such influences of elevated CO2 and temperature on pulses productivity. The extensive research is necessary to overcome the negative effects of high CO2 and temperature on insect-plant interaction

Dr. babu lal jat

The diversity of reactogenicity and its variation in terms of risk and prevalence among populations had raised the need to study and evaluate the reactogenicity of different COVID-19 vaccines in our region. Thus, this study aimed to estimate the prevalence of reactogenicity of COVID-19 vaccines and compare the three vaccines (AstraZeneca-Oxford, Sinovac and sputnik V). An analytical cross-sectional study was conducted using a semi-structured telephonic interview with a sample size of 430 individuals who received one of the included COVID-19 vaccines (AstraZeneca, Sinovac or sputnik V) and were recorded at one of the vaccination centers' records that were affiliated with Aljamail Department of the National Centre for Disease Control, Libya. 410 Libyan participants met the inclusion criteria and were enrolled in the final analysis. The study has shown that 57.3% (CI 52.7-62) of the participants had at least one reactogenic event. Pyrexia (40.7%), headache (27.3%) and fatigue (19.5%) were the most common reactogenic events. In conclusion: the study found that reactogenic events were mild to moderate and the COVID-19 vaccines were safe and encouraged our community to be vaccinated. However, prospective studies with larger sample sizes, longer follow-up and inclusion of important laboratory parameters such as IgG and IgM immunoglobulins are recommended to better understand the relationship between the reactogenicities of COVID-19 vaccines with immunity system development and the factors associated with it.

Mediterranean journal of pharmacy and pharmaceutical sciences

Inlet valve in an engine tends to be subjected to immense thermal loads besides chemical corrosion. Opening and closing of inlet valve practically could be in the order of 2000 times per 1.6 km. In the mean time of engine working cycle, seat insert of the inlet valve is the surface, against which an intake valve seats. Conventional engine valves are provided with a curved angle for its seating position, but for this study, the same is proposed to be positioned at a tapered angle. This tapered position as converted into radius in order to permit rich air at the inlet and reduce exhaust emission. This study is to investigate the nature of the future redesigned Scooping valve for a 1.25L 4-cylinder Petrol engine with VTVT (Variable Timing and Valve Train) under combined mechanical and thermal loading cycle by feeding the input conditions for this study after NX-CAD modelling in ANSYS 10.0 software and the numerical results thus obtained are recorded for future valve design considerations.

Boopathy govindarajan

s deep learning models continue to grow in complexity, the computational and energy demands associated with their training and deployment are becomingincreasingly significant, particularly for convolutional neural networks (CNNs) deployed on CPU-bound and resource- limited devices. Fully connected (FC)layers, while vital, are energy-intensive, accounting for 85.7% of a network’s parameters but contributing only 1% of the computations. This research proposes anovel approach to optimising these layers for greater energy efficiency by integrating low-rank factorisation with differential partial differential equations (PDEs).The introduction of the LowRankDense layer, which combines low-rank matrix factorisation with a differential PDE solver, aims to reduce both the parametercount and energy consumption of FC layers. Experiments conducted on the MNIST, Fashion MNIST, and CIFAR-10 datasets demonstrate the effectiveness ofthis approach, yielding promising results in terms of reduced energy usage and maintaining comparable performance, thereby enhancing the practicality andsustainability of CNNs for widespread use in environments with limited computational resources

Jiby mariya jose

The wet coating of anhydrous borax powders with stearic acid (SA) to reverse their inherent hydrophilic surface properties was investigated. The coating procedure was based on the results from a previous study that revealed that the stearic acid solution (2 wt. % SA) mixed for 60 minute at 750 rpm on the magnetic stirrer was sufficient for the surface modification of anhydrous borax. For the experiments, stearic acid powders were first dissolved in water at 80 °C. The mixture obtained by adding anhydrous borax powders to this solution was vigorously mixed on a magnetic stirrer to initiation and completion the surface modification. Each of these solutions was then filtered using a filter paper to separate the undissolved particles, and the residue on paper was dried at 50 °C for 48 h until constant weighing was obtained. Wettability has been accepted as a key parameter for success in wet coating treatment. This parameter gained via the experimental characterization technique was used for an evaluation of the powder properties. The degree of wettability of anhydrous borax powders was measured and compared both after their surfaces were coated with stearic acid and after they were treated with water for a certain period of time in an aqueous environment. The stearic acid coating made the powder hydrophobic and this property was highly preserved after washing.

Journal of characterization

The Construction Industry is one of the industries contributing highest GDP in Indian economy. The material that is most chosen in construction Industry is concrete. Concrete is a material made with Cement, Fine aggregate in the form of sand, Coarse aggregate in the form of gravel and water. With increasing scarcity of sand, construction works are coming to jolt and thereby increasing the need for choosing an alternative material. Vermiculite is a material which after exfoliation can be used as a filler material replacing sand partially without affecting strength much. One more material Granite (by product which is a waste is causing lot of environmental Issues), produced from granite industry, is available in India in several million tons. Coarse aggregate generally used is a crushed aggregate obtained from rocks like granite, basalt and soon. Recycled aggregate is an aggregate which is obtained after demolishing of an existing building, which is a waste causing economical in balance and which if put into use can not only decrease the construction cost but also make this waste into a better use. In the present study, for a M35 grade of concrete, Vermiculite (0, 5%, 10% and 15% of weight of sand) and granite powder (fixed at 10% of weight of sand used) is used to replace sand partially and in the place of normal coarse aggregate, recycled aggregate is used which is 20 mm passing and 12 mm retained After preparation of Mix-Design(1:1.83:2.69 with w/c ratio of 0.38) the concrete cubes are casted to test for compressive strength after curing for 28 days, 56 days and 90 days. Forsec brand super plasticizer is used to take care of workability requirements. Durability test in the form of resistance to attack of sulphuric acid was conducted along with compressive strength. The test results were promising at 10% replacement levels of Vermiculite.

Kiran kumar narasimhan

This study investigated the connection between translanguaging and reading comprehension of Filipino ESL intermediate learners. The respondents were intermediate pupils enrolled in the selected central schools in Bicol, Philippines. The respondents' ages range from 8 to 12 years old, and 124 students (27.55%) were males while 326 students (72.44%) were females. The descriptive-correlational method was used in the study. The descriptive method was used to describe the reading performance of the ESL intermediate learners and their translanguaging factors, while Pearson Product Moment Correlation was used to determine the relationship between the two variables. The primary instruments used were validated teacher-made reading comprehension test and translanguage factors survey questionnaire. Data disclosed that the general reading comprehension of the ESL intermediate learners along with vocabulary, drawing inferences, and getting the main idea, are very satisfactory. Meanwhile, the different translanguaging factors, along with personal, teacher, and social, were surveyed and identified in the study. The statistical test revealed that the reading comprehension of the respondents was significantly correlated with the identified translanguaging factors. Thus, it is recommended that teachers should promote group discussions and allow open interactions in the classroom. Teachers should allow the use of both the home language and English; employ translanguaging pedagogy in teaching reading; foster an understanding and acceptance of linguistic differences; promote multilingualism, and allow indigenous languages to be used in education to facilitate meaningful learning.

Darrel ocampo

Urolithiasis has been a common problem for centuries and has a high recurrence. This review covers the forty-two (42) antiurolithiatic plants of the family Apiaceae used in 18 different countries. Hopefully, this review will not only be helpful for the general public but also attract the scientific world for antiurolithiatic drug discovery.

Dr. salman ahmed