Texas bays and estuaries experience salinity fluctuations (e.g., droughts, reduced freshwater inflows and hurricanes) caused by natural weather and climate change. This could have impacts on red drum Sciaenops ocellatus (Linnaeus) early life stages beacause red drum spend their early life stage at the shallow bays and estuarine waters of Texas Bay. The purpose of the present study is to evaluate the impact of high salinity concentrations on the survival, growth and development of red drum eggs and larvae. Red drum brood stocks were collected from wild stocks throughout the lower Texas coast and were held in hatchery tanks (13,250 L) until spawning. The water quality conditions were maintained at a salinity of 38ppt and seawater temperature of 25°C. The red drum eggs were hatched at a wide range of salinity treatments (28-48ppt). Egg hatch-out rates and larvae growth were reduced at the lowest (28ppt) and highest (48ppt) salinity treatments. Hypersalinity (≥ 40ppt) and a temperature of 25ºC affected the hatching success of red drum eggs. The percentage of egg hatching success and length of larvae were reduced in both lower (28ppt) and/or hypersalinity (48ppt). This study shows that red drum eggs can hatch within a wide range of salinities with best hatch-out and growth rates occurring between 33 – 43ppt. It also suggests that climate change that produces global warming can keep the increasing environmental salinity of the Texas bay which might have an impact on the development of the early stages of the red drum in their natural environment.

Irma kesaulya

It is with more sorrow and tremendous sadness we remember the death of our colleague the Libyan pharmacist, professor Mokhtar Ramadan Haman, at his home in Tripoli, Libya after long-suffering from brain cancer. He died on 02, February 2017 and his immaculate corpse was buried on the following day at the Souk-Al-Ahad cemetery, Bin Ghashir Palace. Professor Haman, was born in Tripoli, Libya, on January 1, 1957. He obtained his Bachelor of Pharmaceutical Sciences in 1981 at the University of Tripoli and his Ph.D. in Pharmacognosy in 1989 at Cardiff University, UK.

Mediterranean journal of pharmacy and pharmaceutical sciences

Computer-assisted disease diagnosis is cost-effective and time-saving, increasing accuracy and reducing the need for an additional workforce in medical decision-making. In our prior research, we trained, tested, and compared the accuracies of nine optimizable classification models to diagnose and predict eight anaemia types from Complete Blood Count (CBC) data. This study aimed to improve these classification models by oversampling the original imbalanced dataset with four algorithms related to the Synthetic Minority Over-sampling Technique (SMOTE). The results showed that the validation accuracy increased from 99.22% (Ensemble model) to 99.57% (Tree model), and most importantly, the False Discovery Rate (FDR) for the anaemia type with the highest FDR decreased from 23.1% to 1.5%.

Ladislav végh

Giving stimulus from educators in the form of giving appreciation and punishment will greatly affect the way of thinking and behavior of students in achieving the goals of character education that have been set. This study aims to describe the implementation of reward and punishment in shaping the character of students' discipline. This research uses a qualitative approach with the type of case study. Methods of data collection using interviews, observation and documentation. The validity of the data used source triangulation and technical triangulation. The results of this study indicate: (1) The implementation of rewards in shaping the discipline character of students is done by giving rewards in the form of praise and giving appreciation in the form of gifts. (2) The implementation of punishment in shaping the disciplinary character of students is carried out by giving gradual warnings, giving spontaneous warnings and written warning letters. (3) Evaluation of the implementation of rewards and punishments in shaping the character of students' discipline is using process evaluation, which is an assessment carried out during the learning process by observing the attitudes of students everyday when they are in the madrasa environment.. Pemberian stimulus dari pendidik berupa pemberian apresiasi dan hukuman akan sangat mempengaruhi cara berpikir dan tingkah laku peserta didik dalam mencapai tujuan pendidikan karakter yang sudah ditetapkan. Penelitian ini bertujuan untuk mendeskripsikan implementasi reward dan punishment dalam membentuk karakter disiplin peserta didik. Penelitian ini menggunakan pendekatan kualitatif dengan jenis studi kasus. Metode pengumpulan data menggunakan wawancara, observasi dan dokumentasi. Keabsahan data menggunakan triangulasi sumber dan triangulasi tehnik. Hasil penelitian ini menunjukkan: (1) Implementasi reward dalam membentuk karakter kedisiplinan peserta didik dilakukan dengan memberikan reward dalam bentuk pujian serta memberikan apresiasi dalam bentuk hadiah. (2) Implementasi punishment dalam membentuk karakter kedisiplinan peserta didik dilakukan dengan cara memberi peringatan secara bertahap, memberi teguran spontan dan surat peringatan tertulis. (3) Evaluasi implementasi reward dan punishment dalam membentuk karakter kedisiplinan peserta didik adalah menggunakan evaluasi proses, yaitu penilaian yang dilakukan di saat proses pembelajaran berlangsung dengan mengamati dari sikap peserta didik sehari-hari ketika berada di lingkungan madrasah.

Educare: journal of primary education

Gaucher Disease (GD) is the most common lysosomal storage disorder. The prevalence of GD is approximately 1/100,000, and type III GD accounts for 5% of cases. [1] It is an autosomal recessive disease due to a GBA gene mutation, leading to glucocerebrosidase enzyme deficiency. [1,2] Gaucher disease (GD) is categorized into three types according to clinical presentation: [3] Type I, which is non-neuronopathic and most common, particularly among Ashkenazi Jews; Type II, which is acute neuronopathic and marked by significant neurological involvement and high mortality rates; and Type III, which is subacute neuronopathic, exhibiting both systemic and neurological symptoms. In this report, we discuss a 24-year-old man from Libya diagnosed with GD type III. His diagnosis was established at the age of one due to symptoms including pallor, poor appetite, and hepatosplenomegaly. Laboratory tests indicated a hemoglobin level of 5.6 g/dL, chitotriosidase activity of 18,742 μmol/L, and an angiotensin-converting enzyme level of 251 UI/L. Genetic analysis confirmed a homozygous L444P mutation. He underwent splenectomy at the age of three, and enzyme replacement therapy (ERT) was administered intermittently with regular follow-ups until 2011. In December 2023, the patient experienced two weeks of abdominal pain, distension, and fatigue. A physical examination revealed ascites, dilated abdominal veins, and an enlarged liver and spleen.

Karishma

A 28-year-old female presented with recurrent chronic abdominal pain. An abdominal ultrasound revealed cholelithiasis, characterized by two large stones and several smaller ones. Laboratory tests including liver function tests were within normal limits. A laparoscopic cholecystectomy revealed an enlarged dark black liver, with round margins suggestive of Dubin Johnson syndrome (Figure 1) , while the Gallbladder was distended with multiple calculi inside. Successful laparoscopic cholecystectomy was done with a liver biopsy. Histopathology of the gallbladder revealed chronic cholecystitis. A liver biopsy confirmed the diagnosis of Dubin Johnson Syndrome. The follow-up was uneventful.

Karishma

Turcicum leaf blight (TLB) and Polysora rust diseases are taking heavy shiver in all maize growing regions of Karnataka. Several new fungicides are used to control the diseases, among them strobilurin group fungicides in combination with triazolefungicides are found effective in management of diseases. A mixture of Trifloxystrobin 50 WG + Tebuconazole 250 EC and mixture of Azoxystrobin 25 SC + Difenoconazole 25 EC were used in this study to manage the TLB and Polysora rust. The two combination fungicides were evaluated in different days against TLB and Polysora rust on two susceptible varieties namely 219J and CM 202. Results revealed that mixture of Trifloxystrobin 50 WG + Tebuconazole 250 EC @ 0.7 g/lit and mixture of Azoxystrobin 25 SC + Difenoconazole 25 EC @ 2.5 ml/litwere found effective in the management of TLB (15.0 % and 11.0 % respectively) and mixture of Trifloxystrobin 50 WG + Tebuconazole 250 EC @ 0.7 g/lit were found effective in controlling Polysora rust (13.2 %). Allied to yield, more significant increase in yield was recorded in treatment Trifloxystrobin 50 WG + Tebuconazole 250 EC @ 0.7 g/lit (5131.1kgs/ha). While, mixtures of Azoxystrobin 25 SC + Difenoconazole 25 EC @ 2.5 ml/lit recorded yield of 5913.0 kgs/ha, this was significantly superior with respect to disease control and yield aspects.

Veerabhadraswamy al

This article explores the increasing prevalence of mental health disorders and the pivotal role of Artificial Intelligence (AI) in diagnosis and treatment. It highlights how AI enhances diagnostic processes, continuous monitoring, and personalized mental health care experiences. The piece showcases examples of AI applications in detecting signs of mental illness through speech and video analysis, emphasizing improved accuracy for conditions like depression, Post-traumatic stress disorder PTSD, Attention deficit hyperactivity disorder ADHD, and Autism spectrum disorder ASD. Additionally, it discusses AI's role in continuous monitoring, prediction, and addressing the shortage of psychiatrists globally. The article concludes by introducing AI-based apps designed to assist individuals in managing depression, serving as complementary tools in collaboration with healthcare professionals. Overall, it underscores the transformative impact of AI on mental healthcare, offering innovative solutions for more effective, personalized, and accessible support.

Dhruvitkumar talati

Background: To assess the awareness, knowledge about refractive errors and strabismus among the general public in southern Indian states of Andhra Pradesh and Telangana. Methods: A cross sectional population-based survey used a semi structured questionnaire on awareness, knowledge on refractive errors and strabismus done as part of knowledge, attitude and practices study (KAP). Stratified multistage cluster random sampling method was used with a sample size of 867 adults- ≥16 years. Having heard of refractive error and strabismus was defined as awareness and having knowledge of the type of error for which spectacles were worn, was considered as knowledge. A pilot study was conducted to validate the questions used in the main study. Statistical package SPSS (version 19) was used for analysis to calculate logistic regression and odds ratios for gender, age, education and urban-rural areas. Results: A total of 782/867 (90.1%) subjects participated in the survey with females 47.4%. 581 subjects (74.3%) were aware of refractive error. 690 subjects (88.2%) were aware of squint. With multiple logistic regression about awareness of refractive error to various variables, subjects who were educated 11th class to degree had a higher awareness (OR: 2.40; CI: 1.25-4.60). With multiple logistic regression about awareness of squint to various variables, females had a higher awareness of squint (OR: 1.98; CI: 1.19-3.31). Conclusions: Awareness of squint and refractive error was high among the general public, but the knowledge of it was limited.

Srinivasa reddy pallerla

The rapid growth of wireless devices introduces a diverse range of applications and requires intelligent hardware platforms that integrate computing, sensing, and wireless connectivity in a compact systemon- chip (SoC). This paper presents a low-power, high-performance SoC platform that supports dynamic power management and secure communication. The SoC platform consists of 16-/32-bit programmable ARM9 cores, a power management unit with multiple low-power modes, analog and digital peripherals, and security engines. A complete tool-chain with an automatic platform generator has also been developed to ease and accelerate the application development. Fabricated in a 65 nm CMOS technology, an implementation of the proposed platform occupies an area of 1.0 × 1.7 mm2.

Dr h shaheen

Aim: Murraya koenigii is a widely used plant both as a potential medicinal agent and also for common cooking purposes. Aim of this present study was to determine the antimicrobial activity of Murraya koenigii leaf extracts on Staphylococcus aureus and Escherichia coli. Study Design: Screening and isolation of pathogenic bacterial strains from contaminated water. Preparation of Murraya koenigii leaf extracts using petroleum ether, acetone and ethyl acetate by using serial extraction method with Soxhlet apparatus. Place and Duration of Study: Department of microbiology, Agro biotec research centre Ltd, Poovanthuruthu, Kottayam, Kerala, India, between 2014 January to 2014 May. Methodology: Staphylococcus aureus and Escherichia coli were the bacterial strains used in this study. Morphological and biochemical analysis of microorganisms were conducted to identify the strains. Leaf extracts (petroleum ether, acetone and ethyl acetate) of Murraya koenigii were screened using MHA disc diffusion methods. Results: Various concentration of plant extracts were used to check its activity against isolated pathogens. Acetone extract of curry leaves exhibit maximum zone of inhibition against Staphylococcus aureus and petroleum ether extracts shown maximum inhibition against Escherichia coli.

Dr. hemand aravind | sr.research scientist | abtec ltd

Fueled by the recent advancements in pervasive environment, affluent context aware systems is among the rousing in computing today, including embedded environment, different wireless network technology, electronic communication and so on. Context-Aware Collaborative Filtering using Genetic Algorithm approach resulted in an improved mobile business model by determining optimal similarities between contexts. In this work, we plan to devise a hybrid framework called Multi-distribution Perceptron and Hidden Markov Model to smoothen the mobile networks with different degrees of context- confidence. Initially, Multi-distribution Layer Perceptron Model is designed aiming at improving the precision rate with the aid of Multi-distribution Bayesian Posterior measure. Experimental analysis shows that the M-PHMM framework is able to reduce the computational complexity for obtaining user patterns by 26.05% and improve the precision rate by 18.90% compared to the state-of-the- art works.

Dr h shaheen

“Phyllanthus emblica” known to be amla has role in the skin aging influences the changes in skin, including skin dryness, wrinkle, and irregular pigmentation. Initially the 6 day observation has been taken for the ageing activity to be track to study the TREM2 pathway of “Phyllanthus emblica”. Cellular observation and pathway consideration: The environmental impact of pH, Temperature, Humidity and stability of amla fruits is important for the ageing of cells in neuronal cascade of TREM2 Pathway, while studying the fruits cell cycle. The melanin suppression through inhibition of tyrosinase and tyrosinase-related protein-2 activities, the strong antioxidant, and the potent matrix metalloproteinase-2 in cellular observation of tyrosinase pathway. The study aimed to evaluate the anti-skin aging efficacy of amla.

Dr. wahul umesh b

The COVID-19 crisis has impacted all dimensions of our lives say it as the public health, the labour system, the social interaction, the political debate, the use of public spaces, the economy, the environment, and last but not the least it has proved to be a major contributor to the cultural value system of the individual living in society. This research paper is to analyse and understand the changes enforced by this pandemic on Indian culture and individual of the society. It also analyses the context of COVID-19 scenario with special reference to Indian culture and Hofstede’s theory of cultural dimension. This research paper is an attempt to emphasize the changes in culture and value system during the COVID-19 pandemic faced by India. India is enriched enough in cultural dimensions to combat COVID-19. The Hofstede’s model analysed in depth also leads to this finding that it also fits well in the present context. Thus, it is hereby summed up that as India is enriched in its cultural values it has posed itself as a fighter for this pandemic

Mamta gaur

India’s economic system has undergone significant changes in recent years reflecting globalization and changes in national policies. This paper provides a comprehensive analysis of India’s economic growth, focusing on imports and exports. The study explores the key drivers of economic expansion, including trade liberalization, trade agreements, and technological advancement. It also explores the impact of international trade and geopolitical events on business models. It assesses the role of policy measures such as the Goods and Services Tax (GST), the Make in India initiative, and various free trade agreements in generating economic benefits. The paper also assesses the trade balance and its impact on India’s economic stability and growth. The paper concludes with recommendations for improving the market, including diversifying entrepreneurs, investing in infrastructure, and strengthening the domestic economy. The review provides insights to policymakers, businesses, and academics who want to understand and harness India’s economic potential in the global economy

Dr gedam kamalakar

Network on Chips are becoming an important aspect in areas of multiprocessor chip design and high performance computing. Reduction in usage of excess amount of hardware in router design without operating all parameters can improve the performance of the system. The practical review of various routers applied in future of networking is carried out in this paper. Fundamental design considerations and various components involved in router design in terms of communication, energy management and power conversion is summarized in detail. A brief comparison of various routers designed previously has been made along with design aspects for 3D Torus router.

Ashish mulajkar

Monitoring and controlling of clean area environment is of paramount importance to ensure product safety and quality. This comprehensive analysis evaluates environmental monitoring (EM) data from Class C and Class D controlled environments in pharmaceutical manufacturing, utilizing Active Air (AA), Passive Air (PA), and Contact Plate (CP) or Replicate Organism Detection And Counting (RODAC) surface samples. The study aims to identify contamination trends, anomalies, and compliance with ISO 14644-1 and EU GMP Annex 1 standards. Results reveal unexpected findings: Class C Active Air (43 CFU/m³) and RODAC (3 CFU/plate) overall averages are higher than Class D Active Air (34 CFU/m³) and RODAC (2 CFU/plate), respectively, deviating from expected cleanroom classification. Class D Passive Air (22 CFU/plate) is higher than Class C (17 CFU/plate), aligning with expectations. Persistent hotspots were identified in Class C (e.g., location labelled “AA C 12 NG0”AA averages± Standard Deviation (SD): 67.33±17 CFU/m³), indicating localized control failures, while Class D showed extreme individual spikes (e.g., AA D 99 Ac: Max 171 CFU/m³). Sporadic contamination events in Class C suggest transient breaches, necessitating root-cause investigations. The study also highlights limitations of Class D monitoring, which obscures temporal trends and risks missing critical excursions due to long intervals between samples. Recommendations include targeted engineering assessments for high-load zones, enhanced Standard Operating Procedures (SOPs) for cleaning and gowning, adoption of real-time biofluorescent particle counters to replace manual sampling, and increased monitoring frequency in Class D hotspots.

Mostafa eissa

An Indonesian lady aged 52 years old presented to the emergency department with a 2-week history of lower backache. One-week later, she developed urine retention followed by bilateral lower limb weakness, and since then, she has been unable to walk. Her medical history, family history, and social history were unremarkable. She has no previous history of trauma or similar presented symptoms. Clinical examination showed spastic paraparesis with hyperreflexia. Blood chemistry showed HbA1c of 11.6, and the fasting blood glucose was 14.2 mmol/l. Contrast-enhanced magnetic resonance imaging (MRI) showed an epidural collection extending from T9 to S1 and occupying predominantly the anterior epidural space, with extension toward the posterior epidural space in the lumbosacral region (Fig. 1a). The provisional diagnosis was Pott’s disease, and lumbar (L) hemilaminectomy at L2 was done to drain the epidural collection. Mycobacterium tuberculosis was not detected by acid-fast bacilli or polymerase chain reaction testing of the specimen. However, the drained epdural collection was positive for penicillin-susceptible streptococci Agalactiae. Blood cultures were negative, and transesophageal echocardiography did not show any vegetations. The patient received intravenous ampicillin for 2 weeks, then switched to oral antibiotics for another 6 weeks, and was referred to the rehabilitation center, where she improved and was discharged after 8 weeks with a walker. A repeat MRI (Fig. 1b) showed a complete resolution of the previously described epidural collection.

Karishma

PKN Subject is on one of lesson implemented on SD, SMP and SMA to apply student characters and to form the student to understand and love home land also understand global life. The research background of the low student achievement on study still using lecture method, giving assignments, answer and guestion on PKN subject. The purposes of this research: 1.how student achievement on PKN subject before using word sguare model. 2. How student achievement on PKN subject after using calassroom action rescarch with quantitative approach. The sample is the students of class III MIS NU 2 Pontianak.in order to get the data, researcher using observation shett, measurement technique and documentation study.The result concluded: 1.the student achievement before using word square model the average is 53 ( good category ) with KKM > 70 as 5 or 25% and students with KKM < 70 as 15 students or 75%. 2. The student achievement after using word square on cycle 1 is 68,5 ( Better category) with KKM 55%. On the other hands, cycle 11 is 82,5 (Great category ) with KKM 90%. Mata pelajaran PKn salah satu pelajaran yang diterapkan mulai dari SD, SMP dan SMA dengan membekali karakter dan membentuk peserta didik cinta tanah air dan paham dalam kehidupan yang serba global. Rumusan penelitian ini; 1) Bagaimanan hasil belajar siswa pada mata pelajaran pendidikan kewarganegaraan sebelum menggunakan model pembelajaran word square kelas 3 MIS NU 2 Pontianak. 2) Bagaimana hasil belajar siswa pada mata pelajaran pendidikan kewarganegaraan setelah menggunakan model pembelajaran word square kelas 3 MIS NU 2 Pontianak. Metode dan jenis penelitian ini menggunakan jenis penelitian tindakan kelas dengan pendekatan kuantitatif.Subjek penelitian ini adalah siswa kelas III MIS NU 2 Pontianak. Untuk mendapatkan data peneliti menggunakan lembar observasi, teknik pengukuran dan studi dokumentasi. Hasil dari penelitian ini yaitu: 1) Hasil belajar siswa pada Mata Pelajaran PKn sebelum menggunakan model pembelajaran Word Square diperoleh nilai rata-rata sebesar 53 (kategori cukup) dengan siswa yang tuntas mencapai nilai KKM ? 70 sebanyak 5 atau 25% dan siswa yang tidak tuntas dengan nilai KKM ? 70 sebanyak 15 siswa atau 75%. 2) Hasil belajar siswa pada Mata Pelajaran PKn setelah menggunakan model pembelajaran Word Square pada siklus I sebesar 68,5 (kategori baik) dan siswa yang mencapai KKM sebesar 55%. Sedangkan pada siklus II sebesar 82,5 (kategori sangat baik) dan siswa yang mencapai KKM sebesar 90.

Educare: journal of primary education

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