Objective: To explore unusual association between Turner Syndrome (TS) and Hypopituitarism in a Tunisian cohort. Methods: We reported 6 patients with TS associated to Hypopituitarism, including three familial cases except the fourth sister who showed only a TS phenotype. Biochemical analysis, resonance magnetic imaging and cytogenetic analyses were performed. Results: The average age of our patients was 17.2 years (11-31 years). They were all referred for short stature and pubertal delay, except for the fourth sister who presented spontaneous puberty with the integrity of the pituitary axis and the presence of an X ring chromosome. Karyotype analysis showed monosomy in 3 cases and a mosaic TS in the 3 remaining cases, including one patient with abnormal X chromosome structure. Somatotropic and corticotropic deficiencies were confirmed in 2 sporadic cases while the gonadotropic and thyrotropic axes were spared. In contrast; familial cases were consistently affected by the integrity of the corticotropic axis. MRI showed pituitary hypoplasia in all familial cases and pituitary stalk interruption syndrome in only one sporadic case. No correlation was found between the chromosome formula and the anterior pituitary involvement. Conclusion: Co-segregation of congenital Hypopituitarism with pituitary hypoplasia and X chromosome aberrations could imply a molecular anomaly of transcription factors responsible for the differentiation and development of pituitary cells such as PROP1, POUF1, Hesx1, Lhx3, Lhx4. The etiopathogenic link between X chromosome abnormalities and the occurrence of Hypopituitarism remains unclear; however, the progress of molecular biology may clarify the interrelation between transcription factors and sex chromosome segregation abnormalities.

Mariam moalla

Radio resource allocation in VCN is a challenging role in an intelligent transportation system due to traffic congestion. Lot of time is wasted because of traffic congestion. Due to traffic congestion, user has to miss their important work. In this paper, we propose radio resource allocation scheme so that user can utilize their time by taking the advantage of subscription plan. In this scenario, multitype vehicle identification scheme from real time traffic database is proposed, its history will match in transport database and vehicle travelling history database. Proposed method indicates 95% accuracy for multitype vehicle detection. Subscription plans are allocated to the user on the basis of resource allocation, scheduling, levelling and forecasting. This scheme is better for traffic management, vehicle tracking as well as time management.

Vartika agarwal

Online interviews can be powerful tools in global health research. In this article, we review the literature on the use of and challenges associated with online interviews in health research in Africa and make recommendations for future online qualitative studies. The scoping review methodology was used. We searched on Medline and Embase in March 2022 for qualitative articles that used internet-based interviews as a data collection method. Following full-text reviews, we included nine articles. We found that online interviews were typically conducted via Microsoft Teams, Zoom, Skype, WhatsApp, Facebook Messaging and E-mail chats. Online interviews were used in Africa because of the restrictions imposed by the coronavirus disease 2019 pandemic and the need to sample participants across multiple countries or communities. Recruitment for online interviews occurred online, interviews were characterised by inaudible sounds, the inability to use video options and the challenges of including people with low income and education. We recommend that researchers critically evaluate the feasibility of online interviews within a particular African locality before fully implementing this data collection approach. Researchers may also collaborate with community-based organisations to help recruit a more socioeconomically diverse sample because of the potential of excluding participants with limited internet access.

Emmanuel ekpor

Ultraviolet (UV) disinfection technologies are well-known tools for microbial prevention in indoor public places which are frequently employed for disinfecting air, surfaces, and water. Such technologies have drawn a great deal of interest due to its potential application, especially in the domain of healthcare. This article discusses the shortcomings of chemical disinfectants and analyzes the current research standing on the development of various types of UV disinfection technologies for their prospective usage in the healthcare industry. Furthermore, the article provides a thorough analysis and in-depth evaluation of the current antibacterial studies using UV lamps and light-emitting diodes (LEDs) for the treatment of frequently encountered pathogens associated with healthcare. According to the systematic review, UV-LEDs have shown to be a potential source for delivering disinfection which is equally efficient or more effective than traditionally used UV lamps. The findings also provide valuable considerations for potentially substituting conventional lamps with LEDs that would be less expensive, more efficient, more robust, non-fragile and safer. With greater effectiveness and advantages, UV-LEDs have shown to be the potential UV source that could fundamentally be able to transform the disinfection industry. Therefore, the study supports the employment of UV-LED technology as a better and workable approach for effective disinfection applications. The study also offers insightful information that will help to direct future studies in the domain of hygienic practices used in healthcare facilities.

Jahanzeb

This review was aimed to describe a new approach of healthcare performance strategy based on individual genetic variants. Personalized medicine is a model for health care which is a combination of preventive, personalized, participatory and predictive measures. It is an approach for a better treatment by identifying the disease causing genomics makeup of an individual. This work features key advancements in the improvement of empowering advances that further the objective of customized and precision medication and the remaining difficulties that, when tended to, may produce phenomenal abilities in acknowledging genuinely individualized patient consideration. Customized treatment for patients determined to have strong tumors has brought about a few advances as of late. To improve a multi-drug approach ready to coordinate DNA and RNA adjustment, proteomics and metabolomics will be essential. The execution of translational examinations dependent on fluid biopsy and organoids or xenografts to assess molecular changes because of clonal weight produced because of the utilization of target specialists or tumor heterogeneity would help in the recognition of systems of opposition, proposing opportunities for novel mixes. The investigation of massive data in oncology can profit altogether from being engaged by artificial intelligence and machine learning strategies.

Mediterranean journal of pharmacy and pharmaceutical sciences

Industry 5.0 is still a developing concept, but it is expected to leverage a range of advanced technologies to facilitate human-machine collaboration and enable more customized and sustainable manufacturing.This research paper tried to discuss the opportunities and challenges in the implementation of Industry 5.0. It primarily explored the need to transform from Industry 4.0 to Industry 5.0. The research paper further studied the technologies needed for the implementation on Industry 5.0 and also the principles of Industry 5.0.

Dr. kishor bholane

During the last two decades, the concept of Fibre Metal Laminates (FMLs) has been evolved to find solution to the requirement of improving mechanical properties and reducing structural weight of elemental components of aircraft structures. In this work FML is prepared using Al 2024 by placing alternately with glass/carbon/aramid Fibres. From experimental results of FML shows greater advantage in mechanical properties then aluminium monolithic layer and this composite fibre laminates individual. The FMLs tested in this work were made of 3 layers of 2024 T3 aluminium alloy 0.28 mm thickness and fibre mats. The 5-3/2 laminates of size 300x300 mm with 3 mm thick were prepared using Vacuum Assisted Resin Transfer Moulding (VARTM) in cold compaction and test specimen were cut by using abrasive water jet machining as per ASTM Standards. The adhesion between fibre and metal layer will play a major role in strength of FML. By keeping this in consideration FMLs were prepared without blow holes and capable of withstanding delamination while preparing specimens through water jet and during various tests employed. The fracture surfaces of destructed specimens are studied with help Scanning Electron Microscope (SEM) image. Similarly, the numerical simulation of all the tests were done using Ansys APDL 10.0 Software. It is observed that aramid FML have substantially stronger in longitudinal directions. Hence, more priority given in this paper to investigate tensile strength and fatigue life of aramid FML.

Boopathy govindarajan

Background: Acute and chronic heart or kidney failure affect each other in cardiorenal syndromes (CRS). In CRS, hemodynamic and non-hemodynamic changes occur, causing acute or progressive renal and cardiac failures. CRS is classified into five types based on the first organ failure and causes failure of the other organ. We believe that the current CRS classification is not the correct one that effectively describes the underlying cause of CRS. Hence, we consider it better to be classified into three categories (cardiorenal, renocardiac, and cardio-reno-cardiac syndrome) and then subdivided into acute and chronic types or types 1 and 2 (respectively, according to the onset of the underlying type of failure (i.e., acute or chronic). Other subtypes that occur inthe heart and dysfunction occur simultaneously are acute cardio-reno-cardiac syndrome (type 5) and Chronic cardio-reno-cardiac syndrome (type 6). Aim: In Part 1 of the review series, the pathophysiological mechanisms and clinical and therapeutic applications of all types of CRS will be narratively discussed and updated. Furthermore, we provide a comprehensive review of diagnostic biomarkers and their clinical significance in the identification, outcome prediction, and treatment of all CRS types. Method: An extensive search of PubMed, Google, EMBASE, Scopus, and Google Scholar was conducted for review articles, original articles, and commentaries published between Jan 2010 and Aug 2024 using different phrases, texts, and keywords, such as CRS, renocardiac syndrome, and CRS. The topics included secondary CRS, CRS pathogenesis, CRS therapy, SLGT inhibitor use in CRS, novel therapy in CRS types, and prevention of CRSs. Conclusion: Renal and cardiac failure in patients with CRS seem to have different pathophysiological mechanisms. Early detection and treatment can improve the outcomes of CRS. Clinical manifestations and therapy protocols vary according to pathophysiology. Hence, new guidelines and research on universal diagnostic and treatment techniques are urgently required. Moreover, the current nomenclature for CRS is confusing; therefore, we believe that a new nomenclature system should be introduced, reducing confusion and making differentiation between CRS types easier and less confusing.

Karishma

Ethanol extracts of leaves, male flowers and fruit peel of Luffa cylindrica (L.) Roem., were evaluated for analgesic effect using the analgesy meter test, a mechanically induced pain model. Extracts at 500 mg/kg, p.o., were tested and compared with diclofenac sodium 50mg/kg as a standard analgesic drug. The mechanical force was applied to the rat's paw and continuously increased. The point at which the rat can’t bear further pressure and starts to struggle to free the paw was taken as a nociceptive response. Readings were taken before and after 1, 2 and 3hr following drug administration. The analgesic response was continuously increasing till 3hrs. Tested extracts produced significant and comparable analgesic effects as with diclofenac sodium.

Dr. salman ahmed

The advent of the World Wide Web and the rapid adoption of social media platforms (such as Facebook and Twitter) paved the way for information dissemination that has never been witnessed in the human history before. With the current usage of social media platforms, consumers are creating and sharing more information than ever before, some of which are misleading with no relevance to reality. Automated classification of a text article as misinformation or disinformation is a challenging task. Even an expert in a particular domain has to explore multiple aspects before giving a verdict on the truthfulness of an article. In this work, we propose to use a machine learning ensemble approach for the automated classification of news articles. Our study explores different textual properties that can be used to distinguish fake contents from real. By using those properties, we train a combination of different machine learning algorithms using various ensemble methods and evaluate their performance on 4 real world datasets. Experimental evaluation confirms the superior performance of our proposed ensemble learner approach in comparison to individual learners. The advent of the World Wide Web and the rapid adoption of social media platforms (such as Facebook and Twitter) paved the way for information dissemination that has never been witnessed in human history before. Besides other use cases, news outlets benefitted from the widespread use of social media platforms by providing updated news in near real-time to its subscribers. The news media evolved from newspapers, tabloids, and magazines to a digital form such as online news platforms, blogs, social media feeds, and other digital media formats. It became easier for consumers to acquire the latest news at their fingertips. Facebook referrals account for 70% of traffic to news websites. These social media platforms in their current state are extremely powerful and useful for their ability to allow users to discuss and share ideas and debate over issues such as democracy, education, and health. However, such platforms are also used with a negative perspective by certain entities commonly for monetary gain and in other cases for creating biased opinions, manipulating mindsets, and spreading satire or absurdity. The phenomenon is commonly known as fake news.

Kamal singh

Many people are distracted from the normal lifestyle, because of the hearing loss they have. Most of them do not use the hearing aids due to various discomforts in wearing them. The main and the foremost problem available in it is; the device introduces unpleasant whistling sounds, caused by the changing environmental noise, which is faced by the user daily. This paper describes the development of an algorithm, which focuses on the adaptive feedback cancellation, that improves the listening effort of the user. The genetic algorithm is one of the computational techniques, that is used in enhancing the above features. The performance can also be compared with other comprehensive analysis methods, to evaluate its standards.

Jayanthi g

Mobile Ad-hoc Network (MANET) owing to their very open characteristics are being very attractive and adaptive. With the openness comes security issues to be dealt. The most usual attack in mobile ad-hoc network is the black-hole attack. It advertises false path as shortest and newest to the destined node. On gathering packets containing data will drop them and does not send it to the destination. This paper proposes an algorithm to overcome such an attack under Ad-hoc On-demand Distance Vector (AODV) routing protocol in MANETs. The proposal aims to detect and avoid black-hole attack by using the parameters of AODV routing protocol in its enhanced form of route recovery. The proposed algorithm has two different scenarios, where first comes the detection then the avoidance. The simulation results are obtained from NS -2 to authenticate the effectiveness of proposed technique in comparison with the existing protocols in the existence of black-hole attack with respect to change in simulation end time and active number of attackers. The implementation is assessed based on delay, delivery ratio, drop, overhead, throughput and packet forwarding ratio. The results obtained from network simulator are mapped to form a dataset, which is then validated on a modelled fuzzy inference system using MatLab software.

Fahmina taranum

This research was conducted at SD Darus Sholah, Jember which aims to answer the main problems related to the implementation of the Student Team Achievement Divisions learning strategy in integrated thematic learning. The problem studied in this research is the Implementation of the Student Team Achievement Divisions Strategy in integrated thematic learning at SD Darus Sholah, Jember. This research approach uses a qualitative approach with the type of phenomenological research. Methods of data collection using interviews, observation and documentation. Data analysis used the interactive model of Miles and Huberman, with the process of data collection, condensation, data display, and data verification. To test the validity of the data using triangulation. The results of this study indicate that: 1) At the presentation stage, the teacher starts with story material, reviews previous material, and learning activities in teams. 2) The teacher prepares a worksheet as a guide for group work and each member can contribute, the teacher makes observations, provides guidance, motivation, and assistance if needed. 3) Individual tests in groups. 4) Score development for individuals, the teacher combines the previous score with the final score. 5) Appreciation for the team is based on the assessment of individuals in the group so that the process of group assessment recapitulation is based on individual assessment of each group. Penelitian ini dilakukan di SD Darus Sholah Jember yang bertujuan untuk menjawab pokok permasalahan berkaitan dengan penerapan strategi belajar Student Team Achievement Divisions dalam pembelajaran tematik terpadu. Permasalahan yang dikaji dalam penelitian ini, Implementasi Strategi Student Team Achievement Divisions dalam pembelajaran tematik terpadu di SD Darus Sholah Jember. Pendekatan penelitian ini menggunakan pendekatan kualitatif dengan jenis penelitian fenomenologis. Metode pengumpulan data menggunakan wawancara, observasi dan dokumentasi. Analisis data menggunakan model analisis interaktif Miles dan Huberman, dengan proses data collection, condensation, data display, and data verifiying. Untuk menguji keabsahan data menggunakan trianggulasi. Hasil penelitian ini menunjukkan bahwa: 1) Pada tahap presentasi, guru memulai dengan materi cerita, mereview ulang materi sebelumnya, dan kegiatan belajar dalam tim. 2) Guru menyiapkan lembaran kerja sebagai pedoman kerja kelompok dan setiap anggota dapat berkontribusi, guru melakukan pengamatan, memberikan bimbingan, motivasi, dan bantuan jika diperlukan. 3) Tes individu dalam kelompok. 4) Skor pengembangan bagi individu, guru menggabungkan skor nilai sebelumnya dengan skor akhir. 5) Penghargaan bagi tim mendasarkan kepada penilaian terhadap individu dalam kelompok sehingga proses rekapitulasi penilaian kelompok, didasarkan kepada penilain individu masing-masing kelompok.

Educare: journal of primary education

Vitamin D is a hormone which plays a vital role in immune response regulation, including the prevention of inflammation and autoimmunity. Insufficient vitamin D may increase the risk of infection. Vitamin D deficiency is not the only factor linked to an elevated risk of COVID-19 infection. Recent studies have discovered a link between SARS-COV-2 infection risk and blood type. This study was aimed to examine the association of vitamin D and blood groups with the severity of COVID-19. A retrospective study was conducted on 224 confirmed COVID-19 patients, aged between 18 and 89 years old. Patients were divided into three groups (asymptomatic, moderate, and severe cases), and serum 25(OH)D concentration and blood group were analyzed for all the patients. Data of the severe cases were obtained from Souq Althalath Isolation Center, Tripoli, Libya, while moderate and asymptomatic cases were obtained from Abushusha Polyclinic and Aldahmani COVID Filtration Center, during 22nd February 2021 and 28th April 2021 and serum 25(OH)D concentration and blood group were statistically analyzed for all the patients. The percentages of males and females were found to be 47.3% and 52.7%, respectively. Disease severity was distributed as follows: 12.5% asymptomatic, 44.6 % moderate and 42.9% severe. Most of the severe cases had vitamin D deficiency (88.5%). Among the severely ill patients, 39.6% had blood group A and 09.4% had group O, while 22.9%, and 28.1% had blood group B and AB, respectively. In contrast, among the asymptomatic patients, only 7.1% had group A and 85.7% had group O. Overall, the difference in the distribution pattern of blood group in the three severity categories was highly significant (p < 0.001). The prevalence of Rh positivity among asymptomatic, moderate and severe cases was 78.6%, 76.0%, and 60.4%, respectively. This study concludes that insufficient vitamin D levels might influence the severity of COVID-19. COVID-19 patients with blood group A and those who are Rh-positive could be more vulnerable to developing COVID-19 severity.

Mediterranean journal of pharmacy and pharmaceutical sciences

The potential of endemic medicinal plants in Yemen for sustainable pharmaceutical applications is home to a diverse and unique flora, with a significant proportion of endemic and near-endemic species that are traditionally used in folk medicine. This study documents 16 medicinal plant species from Abyan Governorate, Southeastern Yemen, and analyzes their traditional therapeutic uses and the extent to which they have been phytochemically investigated. The majority of these species are used to treat skin diseases, wounds, and burns. However, the findings indicate that 56.3% of these plants have not yet been studied for their active compounds. The Asclepiadaceae family was the most represented among the studied taxa, yet remains largely chemically unexplored. The study emphasizes the importance of preserving ethnobotanical knowledge and recommends future phytochemical screening and pharmacological validation of under-researched species for sustainable use in pharmaceutical development.

Mediterranean journal of pharmacy and pharmaceutical sciences

Marketing refers to the actions that elevate customer value by motivating them to purchase the organisation's products or services (Kusumadewi, 2019). An organisation with strong capabilities must exhibit strong marketing capacities to effectively introduce its offerings to new markets (Lee and Falahat, 2019). Marketing strategies are part of an organisation's corporate strategy, which refers to the set of choices an organisation makes to develop and capture value across its business over time. As corporate strategy essentially drives financial performance (Sull et al., 2018), effective marketing strategies must be selected to ensure the organisation's attainment of objectives and long-term success.

Zamzam abdelazim

A huge number of embedded devices offer their services to the end users in pervasive environments. Context-aware discovery is a rich and very dynamic system extensively applied for combining the different mobile devices, sensors, actuators and software functions. Existing knowledge-based system using the Common KADS (CKADS) system represent contextual information but algorithm are not effective in predicting the user behavior. Current Location-aware Private Service Discovery (LPSD) considers the discovery path for reducing the distributed topology and flooding operations. LPSD in pervasive environment is not effective in accurately locating the required service by searching method. To present an architecture principle for accurately predicting the user behavior in mobile-pervasive computing environment, Affluent Context Aware Systems based on the User Behavior (ACAS-UB) is proposed in this paper. ACAS-UB mechanism contains the class of mobile devices that can sense (i.e.,) search the physical pervasive environment. Affluent means effectively engaged mobile devices in ACAS-UB mechanism which uses the context information. The ACAS-UB context information contains the judgment of the similar users and also the response from the other users for improving the effectiveness in pervasive environment user behavior prediction. Master-slave concept is used in the ACAS-UB mechanism for the easy collection of response information from the different users. ACAS-UB mechanism construct the user profile initially from the context information, then performs the similarity measure and finally work is to predict the user behavior. ACAS-UB mechanism provides the hints which are necessary to explore different options, rather than just limiting the options in mobile-pervasive computing environment. ACASUB mechanism is experimented on the factors such as message overhead in pervasive environment, scalability and approximately 10 % lesser processing time.

Dr h shaheen

Natural products play a major role in maintaining healthy people and animals and in preventing sickness. Experiments have shown that these natural compounds have several biological properties, including anti-inflammatory, anti-apoptotic, and antioxidant effects. Using Google Scholar, PubMed, and Science Direct database searches, current recorded information was incorporated in this review. The databases listed above were searched using the following Medical Subject Headings (MeSH) terms for data extraction: preventative, natural product, phytoconstituents, natural products for Parkinson's illness, Alzheimer's disease, and natural products for the brain. The effectiveness of natural products in a variety of preclinical models of neurodegenerative diseases has been demonstrated by in vitro and in vivo studies. Phytoconstituents, such as polyphenolic antioxidants, are present in freshwater and marine flora, as well as in fruits, vegetables, nuts, and herbs. These phytoconstituents may help the brain's memory and cognitive processes while preventing neurodegeneration. Moreover, they are essential in the prevention and treatment of various neurodegenerative diseases, including Parkinson's disease, epilepsy, Alzheimer's disease, and other neurological conditions. This review briefly highlights a few neurodegenerative diseases, emphasizing how natural products and nutraceuticals function against neurological disorders.

Mediterranean journal of pharmacy and pharmaceutical sciences

Wireless Sensor Networks (WSNs) received enormous attention in recent years due to its phenomenal ability of implementation in various fields. WSNs consist of a large number of small sensor nodes. These nodes are very cheap in terms of cost. In military operations, there is always a threat of being attacked by enemies. So, the use of these cheap sensor nodes will help to reduce the loss. In this project, the security of data transmission in WSNs for military applications is analyzed. It discusses the available scenarios of using sensor nodes in the military uses. The aim is to present a better deployment of sensor nodes for military purposes with the help of cryptographic techniques. This project will try to identify different areas in which we can reduce the damage in case of militant’s attack or enemy’s outbreak using an intelligent deployment of nodes. It is proposed to use the WSNs in battlefield surveillance to closely monitor the critical areas and borders to obtain information about enemy activity in that area. Hence, militant’s will gather information quickly which will result in quick response. Border monitoring is an essential component of military surveillance to prevent enemy’s intrusion. Here the proposed work provides security using several techniques to encrypt and decrypt the data in WSNs. Elliptic Curve cryptography involves Attribute based encryption which is more complicate to hack. As well as skipjack is used to create digital signature to avoid unauthorized users.

Dr h shaheen

Lycium schweinfurthii is a shrub belonging to the Solanaceae family which widely grows in North Africa and Mediterranean regions. The plant leaves have traditionally been used for gastrointestinal diseases as peptic ulcer in Libya. This study aimed to investigate the effect of Lycium schweinfurthii extract on the central nervous system in mice including anticonvulsant, antidepressant and muscle relaxant activities. The methanolic extract was prepared by fractionation technique. Albino male mice weighing 22 ± 2.0 gm were used and equally divided into equal number and weight for each experiment (n = 6). The best effective pharmacologically dose of 400 mg/kg, i.p. of the methanolic extract was selected to explore the anticonvulsant activity for picrotoxin-induced convulsion in mice (5.0 mg/kg), antidepressant activity of forced swimming test of depression and muscle relaxant action by motor coordination test of hanging wire. Fluoxetine (10.0 mg/kg), imipramine (15.0 mg/kg) and diazepam (5.0 mg/kg) were used as reference compounds. Lycium schweinfurthii extract exhibited a significant prolonged delay in the onset time of induced convulsion and significant decrease in the frequency of convulsion as well as a significant decrease in the duration time of attacks. Pretreatment with flumazenil (2.0 mg/kg) was found to increase the frequency and duration of convulsions without profound change in the onset time produced by Lycium schweinfurthii. For antidepressant activity, the plant leave extract significantly decreased immobility time duration without a muscle relaxant effect. The results suggest that the methanolic extract of Lycium schweinfurthii leave has anticonvulsant and antidepressant-like activities without any muscle relaxant effect in mice. Thus, Lycium schweinfurthii may have a neuropharmacological potential use in human.

Mediterranean journal of pharmacy and pharmaceutical sciences