bluuebunny/crossref_metadata_2025 huggingface dataset:
Contralateral Suppression of Acoustic Reflex in Individuals with Chronic Subjective Tinnitus
Authors: Binay-Bolat Kübra , Satekin Merve Cinar , Kutlu Sevgi , Uluc Deniz , Yilmaz Suna Tokgoz
Published: March 2024

Objectives:

The first aim of this study is to determine whether subjective tinnitus has an effect on the medial olivocochlear bundle function in the auditory efferent system, with the contralateral acoustic reflex suppression test. The second aim is to contribute to the literature on the auditory efferent system.

Materıals and Methods:

The study included 20 individuals with chronic subjective tinnitus and 28 healthy controls. Acoustic reflex measurement was applied to both groups at 0.5, 1, and 2 kHz with and without contralateral noise. The contralateral suppression of the acoustic reflex (CSAR) results of both groups were compared in terms of CSAR threshold (CSART) and CSAR amplitude (CSARA).

Results:

There was no significant difference between the control and tinnitus groups in terms of CSART (P > 0.05), except that the left ear of the tinnitus group was higher than the control group at 0.5 kHz (P = 0.015). There was no significant difference in CSARA of the ears at all frequencies between the two groups (P > 0.05).

Conclusion:

These results suggest that the CSAR test can be used as a complementary test in the evaluation of the auditory efferent system of individuals with chronic subjective tinnitus.
Late-onset of Labyrinthine Dysfunction in Chronic Brucella-induced Encephalitis
Authors: Kumar Rawish , Alam Md. Noorain , Munjal Sanjay Kumar , Panda Naresh K.
Published: March 2024

Brucellosis, caused by Brucella, dominates in the Middle East. Acute or chronic brucellosis can involve any organ system, and the involvement of the central nervous system leads to encephalitis, called neurobrucellosis (NB). We report a rare case from north India where a variant of Brucella caused NB led to progressive labyrinthine dysfunction; who developed vertigo, disequilibrium, and gradual progressive sensorineural (SN) hearing loss. Audiological tests pure-tone audiometry (PTA), otoacoustic emissions (OAE), stapedial muscle reflexes, auditory evoked brainstem responses (ABR), and vestibular evoked myogenic potentials (VEMPs) were conducted on the patients. PTA showed a bilateral profound SN hearing loss, an absent OAE, and ABR suggestive of cochlear dysfunction. The cervical and ocular VEMP showed delayed n1 and p1 latencies, suggesting superior and inferior nerve branch involvement. Vertigo or disequilibrium and SN hearing loss can be the late-onset manifestations of labyrinthine dysfunction in chronic Brucella-induced encephalitis.
Transcanal Endoscopic Facial Nerve Decompression in Posttraumatic Facial Paralysis: A Tertiary Care Experience
Authors: Sahoo Pradipt Ranjan , Sahu Monalisa , Karki Sandesh , Patra Ananya , Kapoor Arnav Bharatendu , Agrawal Shubham , Rout Manas Ranjan
Published: March 2024

Purpose:

Facial nerve decompression (FND) for traumatic facial palsy with lesion at geniculate ganglion and tympanic segment can be done through transcanal approach, by a microscope or an endoscope without opening the mastoid. The study analyzes the outcomes of transcanal endoscopic approach (TEA) for FND with regard to improvement in facial nerve (FN) function and hearing status, in lesions limited to perigeniculate and tympanic segment of FN.

Methodology:

This was a retrospective analysis of the case series from a tertiary care center, of the patients with posttraumatic FN paralysis, surgically treated with TEA. From January 2014 to December 2018, nine patients of traumatic facial palsy were selected for surgery. The patients posted for surgery were selected only when they had immediate-onset FN paralysis after trauma and not responding to treatment of systemic corticosteroid for 14 days with, House Brackmann grading (HBG) IV–VI, lesions confined to perigeniculate ganglion and tympanic segment of FN. Outcome analysis following TEA for FND was performed in terms of postoperative FN function and hearing improvement.

Results:

The TEA showed a postoperative improvement of FN function (HBG I/II) in 77.7% of patients within 6-month follow-up period. There was no significant improvement in FN function between 6th and 12th month. Postoperative hearing improvement was seen in eight cases, and there was no improvement in one case due to preoperative sensorineural hearing loss.

Conclusion:

TEA for FND is a direct approach for lesions confined to perigeniculate ganglion area and tympanic segment without involvement of mastoid segment of FN. It requires minimal bone drilling, provides proper visualization, and accurate surgical site assessment. Surgeries performed even in late presentations may have favorable outcomes.
Posterior Tibial Nerve Ultrasound Assessment of Peripheral Neuropathy in Adults with Type 2 Diabetes Mellitus
Authors: Oduola-Owoo Latifat Tunrayo , Adeyomoye Adekunle Ayokunle , Omidiji Olubukola Abeni , Idowu Bukunmi Michael , Oduola-Owoo Badmus Babatunde , Odeniyi Ifedayo Adeola
Published: March 2024

Background:

Diabetic peripheral neuropathy (DPN) is a common and debilitating complication of type 2 diabetes mellitus (T2DM). Early detection and prompt institution of appropriate therapy could prevent undesirable outcomes such as paresthesia, pain, and amputation. Although the gold standard for diagnosing DPN is nerve conduction studies, high-resolution peripheral nerve ultrasonography may serve as a noninvasive and low-cost alternative for diagnosing and staging DPN. This study investigated the clinical utility of sonographic posterior tibial nerve cross-sectional area (PTN CSA) for diagnosing DPN in individuals with T2DM.

Methods:

Eighty consecutive adults with T2DM and 80 age-/sex-matched controls were recruited. Clinical information was obtained, including symptoms, disease duration, Toronto clinical neuropathy score (TCNS), and biochemical parameters. The left PTN CSA at 1 cm, 3 cm, and 5 cm above the medial malleolus (MM) was measured with a high-frequency ultrasound transducer and compared to the detection of DPN using the TCNS.

Results:

Based on the TCNS, 58 (72.5%) of the T2DM group had DPN. Of these, 14 (24.1%), 16 (27.6%), and 28 (48.3%) participants had mild, moderate, and severe DPN, respectively. All the mean PTN CSA (aggregate, 1 cm, 3 cm, and 5 cm above MM) of the participants with T2DM and DPN (T2DM-DPN) were significantly higher than those of T2DM without DPN (WDPN) and controls. All the PTN CSA increased significantly with increasing severity of DPN. The PTN CSA at 3 and 5 cm levels correlated weakly but significantly with fasting plasma glucose and glycated hemoglobin levels.

Conclusion:

The PTN CSA is significantly larger in T2DM-DPN than in T2DM-WDPN and healthy controls. PTN ultrasonography can be an additional tool for screening DPN in patients with T2DM.
Isolated Inflammatory Necrosis of the Falciform Ligament: A Case Report with Review of Literature
Authors: Sharma Garima , Tarafdar Swarnava , Yadav Abhishek Kumar , Sah Pankaj
Published: March 2024

Inflammatory necrosis of the falciform ligament is an extremely rare cause of acute right upper quadrant pain. Due to overlapping symptoms with pathologies affecting the gall bladder and liver, this poses a diagnostic challenge with limited existing literature. Here, we report a case of a 62-year-old female patient presenting in the accident and emergency department with right upper quadrant pain. The patient underwent ultrasonography and revealed thickened and echogenic falciform ligament. Further, a computed tomography revealed swollen falciform ligament with associated fat stranding. The patient was kept under conservative management and improved over 2 weeks.
A study on constructing an efficient examination scheduling system
Authors: Vu Linh Nguyen Mai , Tran Hieu Chi , Nguyen Anh Thi Tram
Published: March 2024

The objective of this study is to investigate the final exam scheduling process at the Ho Chi Minh City Open University and develop an automated exam scheduling application. Our primary objectives are to prevent students from having conflicting exam schedules and to ensure that no student has to take more than two exams on the same day. This research focuses on applying graph coloring algorithms to the problem of automatic exam scheduling. Our research findings indicate that the graph coloring algorithm is highly effective for automated exam scheduling. This study has the potential to expand and support the development of an automatic exam scheduling and management system, in line with our overall goals. We conduct the experiments on the practical data at HCMCOU and obtain promising results.
Reduction for asynchronous Boolean networks: elimination of negatively autoregulated components
Authors: Schwieger Robert , Tonello Elisa
Published: March 2024

To simplify the analysis of Boolean networks, a reduction in the number of
components is often considered. A popular reduction method consists in
eliminating components that are not autoregulated, using variable substitution.
In this work, we show how this method can be extended, for asynchronous
dynamics of Boolean networks, to the elimination of vertices that have a
negative autoregulation, and study the effects on the dynamics and interaction
structure. For elimination of non-autoregulated variables, the preservation of
attractors is in general guaranteed only for fixed points. Here we give
sufficient conditions for the preservation of complex attractors. The removal
of so called mediator nodes (i.e. vertices with indegree and outdegree one) is
often considered, and frequently does not affect the attractor landscape. We
clarify that this is not always the case, and in some situations even subtle
changes in the interaction structure can lead to a different asymptotic
behaviour. Finally, we use properties of the more general elimination method
introduced here to give an alternative proof for a bound on the number of
attractors of asynchronous Boolean networks in terms of the cardinality of
positive feedback vertex sets of the interaction graph.
Logarithmically complete monotonicity of reciprocal ARCTAN function
Authors:   Faculty of Sciences and Mathematics, University of Banja Luka, Bosnia and Herzegovina, JOVANOVIĆ VLADIMIR , TREML MILANKA ,   Faculty of Sciences and Mathematics, University of Banja Luka, Bosnia and Herzegovina
Published: March 2024

We prove the conjecture stated in F. Qi and R. Agarwal, On complete monotonicity for several classes of functions related to ratios of gamma functions, J. Inequal. Appl. (2019), that the function 1∕ arctan is logarithmically completely monotonic on (0,∞), but not a Stieltjes transform.
Semi-Slant Lightlike Submanifolds of Golden Semi-Riemannian Manifolds
Authors:   Department of Mathematics, Institute of Science, Banaras Hindu University, India, KUMAR SACHIN , YADAV AKHILESH ,   Department of Mathematics, Institute of Science, Banaras Hindu University, India
Published: March 2024

The aim of our paper is to introduce the notion of semi-slant lightlike submanifolds of golden semi-Riemannian manifolds. We give non-trivial examples of semi-slant lightlike submanifolds and provide a characterization theorem of such submanifolds. Further, we obtain necessary and suﬃcient conditions for integrability of the distributions and investigate the geometry of the leaves of the foliation determined by the distributions. We also obtain a necessary and suﬃcient condition for the induced connection to be a metric connection. Finally, we obtain necessary and suﬃcient condition for mixed-geodesic semi-slant lightlike submanifold of golden semi-Riemannian manifold.
PERTUSIS - CURRENT SITUATION
Authors: Ostojić Olivera , Sredojević Marija , Veković Vesna , Živković Zorica
Published: March 2024

Pertussis, or whooping cough, is a contagious acute respiratory infection caused by the bacterium Bordetella pertussis. Before the widespread immunization, pertussis was one of the most common infectious causes of morbidity and death. Despite widespread immunization, the pathogen continues to circulate in the population with cyclical outbreaks. Recent data from the Institute of Public Health of Serbia "Dr Milan Jovanović Batut" for the territory of the Republic of Serbia reveals a significant rise in pertussis cases in the last year, which creates a need for careful analysis of the current epidemic. The aim of our study was to show the current epidemiological situation related to pertussis illness, along with an analysis of patients hospitalized at the Children's Hospital for Pulmonary Diseases and Tuberculosis, Clinical Hospital Center "Dr Dragiša Mišović" from August 2023 to February 2024, who were laboratory confirmed with B. Pertussis infection. During this period, 23 patients were hospitalized with confirmed B. Pertussis infection. The laboratory method for isolating the bacterium was a nasopharyngeal swab that was sent for PCR analysis. The average age of hospitalized children was 4.6 months, with the majority being 2 months old. The youngest infants were 1 month old, while the oldest patient was 35 months old. B. Pertussis infection was confirmed in children who were either not vaccinated or were incompletely vaccinated due to their age. The most commonly associated conditions with B. Pertussis infection were acute bronchiolitis and pneumonia, with SARS COV-2 virus isolated in two cases. Based on the results of our analysis and data from the literature, we observed an increase in the number of pertussis cases. Although vaccination has significantly contributed to reducing the incidence of pertussis, this analysis highlights challenges and the need for continued following of the epidemiologic situation. Additionally, it is crucial to consider factors contributing to the resurgence of the epidemic to develop more effective strategies for disease control and prevention.
ESTIMATING EXCHANGE RATE PASS-THROUGH TO DOMESTIC PRICES; SIERRA LEONE EXPERIENCE
Authors: Kallie James L. S. , Kamara Emmanuel Jam , Kanu Alpha , Heimoh Joseph M. B.
Published: March 2024

The study conducts an investigation that seeks to evaluate the nature of exchange rate pass-through on consumer prices in Sierra Leone. As a small, open economy, the country is susceptible to exogenous shocks. The exchange rate acts as a medium through which external shocks get transmitted to the real economy. Therefore, the general objective of the study is to assess the effect of the fluctuation of the exchange rate on domestic prices in Sierra Leone. More specifically, it sought to determine which type of exchange rate pass-through exists for Sierra Leone, using annual time series data between 1992 and 2022. The empirical analysis was based on a VECM model. The coefficient of the exchange rate (.5365) which is also significant at the 5% level of significance (p-value = 0.002), indicates that the exchange rate pass-through is incomplete in Sierra Leone. This means that a 1-unit depreciation of the Leone (increase in nominal exchange rate), leads to an increase in Sierra Leone consumer price by .5365 units or approximately 53.65%. This is an indication of indirect pass-through, where importers increase the price of imported goods to maintain their markup in the event of a nominal exchange rate depreciation. The recommendation to the finding is that since it was revealed that Sierra Leone has relatively high exchange rate shocks means that monetary authorities in Sierra Leone should pay more attention to the effects of EXR fluctuation on consumer prices. Measures such as the promotion of local production to substitute imported goods are key to addressing the effects of exchange rate variations.

 

JEL: F31, E31, C32, O24

 

 Article visualizations:
MEASURING TECHNICAL EFFICIENCY AMONG DEPARTMENT OF TOURISM (DOT) ACCREDITED RESORTS IN DAVAO REGION: APPLICATION OF DATA ENVELOPMENT ANALYSIS (DEA)
Authors: Alcaraz Clarence Joy D. , Aragon Lilibeth C.
Published: March 2024

One of the most important players in the hospitality and tourism industries is the resort industry. Data envelopment analysis (DEA) allows measuring the variation in efficiency between resorts businesses and in a particular time period. Furthermore, this technique allows the identification of the possible sources of inefficiency. The study developed a methodology utilizing the capabilities of Data Envelopment Analysis that provides a reasonably accurate means of evaluating the technical efficiency of DOT-accredited resorts in the Davao Region. Results of the study reveal that 18 out of 23 DMUs classified as fully efficient comprising 82.61% while the other 5 DMUs are under-efficient constituting 17.39% in total. Moreover, demographic characteristic significantly contributes to the efficient performance of DOT-accredited resorts in the Davao Region. These demographic characteristics, such as provincial category, type of resorts, and accessibility, provide policymakers, industry stakeholders, and tourism associations with information regarding the state of the tourism industry in various provinces, the type of resorts, and the means of reaching the resorts (accessibility). These results enable more focused assistance and coordinated efforts to improve the region's competitiveness and sustainability.
 

 Article visualizations:
FAIR APPROACH IN INDIVIDUAL LABOR DISPUTE RESOLUTION IN VIETNAMESE COURTS
Authors: Quang Nguyen Nang
Published: March 2024

This article presents the legal and practical basis for resolving individual labor disputes in Vietnam, from the application of law to conciliation and arbitration practices. Important principles such as respect for the right to self-determination, negotiation, conciliation, and arbitration as well as the principle of the provision of evidence and the burden of proof are discussed in detail. At the same time, the article also highlights the role of courts in ensuring fairness and objectivity in the resolution process, along with challenges and limitations that need to be overcome. This underscores the importance of continuing to improve the labor and procedural legal system in Vietnam.
 

 Article visualizations:
THE IMPACT OF PASTORS' FAMILY WELL-BEING ON PASTORAL MINISTRY WITHIN THE ADEPR NYAMASHEKE LOCAL CHURCH IN RWANDA
Authors: Simeo Rukundo , Hitayezu Elysee , Uwamariya Marie Therese , Vedaste Ngirinshuti , Turatsinze Jean Bosco , Musanganire Innocent
Published: March 2024

This study investigates the impact of pastors' family well-being on pastoral ministry within the ADEPR Nyamasheke Local Church. Recognizing the integral role pastors play in the spiritual guidance and growth of congregations, the research explores the reciprocal relationship between pastors' family well-being and the effectiveness of pastoral ministry. Employing a mixed-methods research design, the study involves surveys, interviews, and focus group discussions with pastors, their families, and congregants. The research aims to quantify and qualitatively assess various dimensions of pastors' family well-being, including economic stability, emotional health, and familial relationships. Additionally, the study examines the perceived impact of pastors' family well-being on key indicators of pastoral ministry effectiveness, such as congregational growth, community impact, and pastoral satisfaction. The findings of this research chart provide a comprehensive analysis of the Church's leadership effectiveness, revealing strengths and weaknesses through expressed percentages. While an overall frequency suggests a perception of weak leadership, a minority of respondents express satisfaction in certain areas. Pastors, Mothers' Union members, and choir group leaders particularly commend aspects like the leadership system, individuals with gifts, and effective management. However, the item indicating 18.48% reveals a shortage of qualified staff, a concern elaborated in a previous table. Additionally, the 21.12% representing management underscores perceived challenges in organizational effectiveness. This nuanced examination unveils a complex narrative, portraying both positive and concerning aspects of leadership within the Church. Contribute valuable insights to the understanding of the interconnected dynamics between pastors' family well-being and the overall success of pastoral ministry within the unique context of the ADEPR Nyamasheke Local Church. The implications of the study may inform pastoral training programs, church policies, and community engagement strategies to enhance the holistic well-being of pastors and, consequently, the vibrancy of pastoral ministry.
 

 Article visualizations:
Masked Face Recognition Using FaceNet Algorithm
Authors: Mohammed Yahya Abdulsattar
Published: March 2024

In the past three years, the entire world has been exposed to a new virus, COVID-19. It has become very difficult to deal with the fingerprint system, as the exchange of things and contact with devices by more than one person is a good way to transmit the virus. Accordingly, many institutions and organizations have resorted to using face prints as an alternative to handprints to identify people and record the attendance of employees in general. Since the virus is a virus that infects the respiratory system, people are forced to wear face masks or the so-called masks to avoid transmission of the virus during coughing by the infected person. Since the wearing of masks greatly affects the facial features, it was necessary to come up with a technology that allows the identification of masked faces, and this is the subject of our study. Since the face loses many of its features while wearing masks, an algorithm was proposed to recognize the face and train the convolutional neural networks (CNN) through some of the main facial features, including 3D imaging, as it was concluded that the triple loss does not apply to our data sets, as 3D selection has less loss compared to 2D image, Due to its ability to select all feature samples from feature spaces with larger distances between layers and reduced distances between regions, a large cosine loss was utilized as the training loss function. In order to reach a model that deals more with areas not covered by the mask, the input unit was designed, as its function is to combine the Inception- Resent unit and the Convolutional Mass unit, and so, any portion of the face that isn't covered gains weight, thus increasing the importance of those areas in the recognition of masked faces, and experiments that were conducted on several sets of masked faces data showed that the algorithm works to significantly increase the accuracy of masking face recognition, and it can accurately recognize the face using masks.
Development of Intelligent Monitoring and Control System for Electrostatic Precipitators in Cement Plants
Authors: DeKheel Taha N , O. Mustafa Mohammed , Marie Mehdi J
Published: March 2024

Cement plants are crucial industrial entities that supply cement for various applications, including the construction of buildings and bridges. While these plants play a vital role in infrastructure development, they are also recognized as significant sources of environmental pollution. To mitigate air pollution, Electrostatic Precipitators (ESPs) are employed, capable of reducing air pollution by approximately 99.99%. Consequently, ESPs warrant in-depth study, and development. This project focuses on investigating, and developing a monitoring, and control system for ESPs utilizing intelligent devices. The initial step involved deriving a mathematical model based on input/output data from the critical unit, the transformer/rectifier (T/R set). The Grey Wolf Optimization algorithm was employed to determine the optimal parameters (Kp=988, Ki=37.7, Kd=88.5) for the PID controller using the MATLAB package.
Akses Keadilan dan Kesenjangan Sosial: Transformasi Melalui Peran Hukum Tata Negara
Authors: Rasya Harlin Sabrinda , Triadi Irwan
Published: March 2024

Dalam konteks kehidupan sosial, menjaga keseimbangan keadilan antara individu dan Masyarakat menjadi hal yang tidak terpisahkan. Evaluasi terhadap keadilan dalam suatu masyarakat selalu berkaitan erat dengan interaksi dan hubungan antarindividu di dalamnya. Terutama, perhatian tertuju pada kesenjangan sosial dan ekonomi yang menjadi ciri khas masyarakat modern, Dimana ketimpangan pendapatan dan perbedaan dalam perkembangan antara wilayah perkotaan dan pedesaan menjadi faktor utama yang memengaruhi dinamika sosial. Dalam upaya memahami fenomena ini secara lebih mendalam, penelitian kualitatif dengan pendekatan yuridis normatif digunakan untuk mengungkap kesenjangan sosial dan akses keadilan serta peran hukum tata negara dalam menyeimbangkan. Melalui analisis, ditemukan bahwa terdapat ketimpangan sosial dan ekonomi yang signifikan, terutama selama masa pandemi Covid-19, yang berpotensi menciptakan konflik dan ketidakstabilan sosial. Hasil analisis menyoroti perlunya perhatian yang lebih serius terhadap peran hukum tata negara dalam menciptakan regulasi yang adil dan inklusif, yang mendukung pertumbuhan ekonomi serta keberlanjutan sosial masyarakat. Selain itu, penekanan pada pentingnya kebijakan publik yang tepat juga diperlukan dalam mengatasi masalah sosial, terutama dampak dari pandemi Covid-19. Dalam hal ini, strategi pemerintah untuk memberikan bantuan sosial dan menerapkan kebijakan perpajakan yang progresif dapat membantu mengurangi kesenjangan sosial dan ekonomi. Oleh karena itu, hasil analisis ini menegaskan pentingnya peran hukum tata negara sebagai instrumen untuk menciptakan lingkungan yang lebih adil dan merata bagi seluruh anggota masyarakat. Dengan demikian, upaya untuk memperkuat hukum tata negara dan memastikan implementasi kebijakan yang berpihak pada keadilan sosial menjadi sangat penting dalam mengatasi kesenjangan sosial dan meningkatkan akses keadilan bagi semua lapisan Masyarakat.
Empowering Diversity: A Multicultural Approach to Inclusive Islamic Education
Authors:   Universitas Islam Malang, Hosnan Hosnan , Maskuri Maskuri ,   Universitas Islam Malang, Hanief Muhammad ,   Universitas Islam Malang
Published: March 2024

This study aims to analyze the learning model in multicultural-based inclusive Islamic education conducted at the State High School Education institution 1 Sumber Sumber District, Probolinggo. This research method is a qualitative research type case study. The informants in this study were three people: school principals, PAI teachers, and curriculum waka. The results of this study show that the learning model in multicultural-based inclusive Islamic education applies first the Islamic Education Curriculum with an Inclusive-Multicultural Vision to internalize the learning model in the implementation of multicultural education so that awareness is born to maintain community cohesiveness while honing self, social, and cultural wisdom, none other than the formal learning process at each level of education. Second, the Epistemological Transformation Paradigm of National Education can be applied to the principles of national education implementation. Based on the study's results, several implications can be made for improvement in education. These results and research will likely improve how learning models can be designed and implemented effectively in multicultural-based, inclusive Islamic education.
Attractive Rural Schools in Czechia
Authors: Dvořák Dominik , Kučerová Silvie Rita , Zilcher Ladislav , Svoboda Zdeněk
Published: March 2024

Current policies in education that support school choice can be a threat but also an opportunity for rural schools that are often at risk of closure or amalgamation/consolidation. Studies from Western Europe found two types of schools using the ‘capitals’ of the rural environment in different ways: ‘community’ and ‘magnet’ schools. Our mixed-methods study enriches the discussion on successful rural schools, considering both the school leadership strategies and the situation in the local quasi-market of schools in a post-socialist central European country, Czechia. In the first step, using data from all Czech rural elementary schools, we identified schools that were in demand by local and out-of-catchment-area students. We performed a detailed qualitative analysis of 13 selected case schools and their local quasi-markets in the second step. The usefulness of the analytical distinction between rural schools oriented towards the needs of the local community and those that use rural capital to meet the needs of liberal middle-class families is demonstrated. At the same time, there is a group of rural schools that try to balance the interests of both groups. The article presents vignettes of three such schools. The key feature of these 'catch-all' schools is negotiated innovation (i.e., sustainable change communicated with local actors and enabling the coexistence of tradition and innovation). Our study provides a deeper insight into the community/magnet typology, building on the perspective of a different part of Europe. It brings important insights for educational policy and the leadership of rural schools.
Application of Artificial Neural Network for Prediction of Story Drift in High-Rise Buildings
Authors: Samruddhi Sonawane  , Viren Chandanshive  , Ajay Radke
Published: March 2024

The difficulties arising from growing population expansion and extensive urbanization are driving up the demand for high-rise structures. Comprehending the symmetry and composition of structural components correspondingly is becoming more and more important in light of current developments in computer technology, novel materials, and unique structures. The structural responses of multistory buildings predicted by Artificial Neural Networks (ANN) briefly outlined in a systematic manner. This review enhances the application of ANN for the prediction of story drift in multistory buildings with greater level accuracy. A multistory structure might fall because of the intense movement of the ground, resulting in fatalities and economic loss. As a result, it is imperative that the multistory structure be appropriately constructed to minimize the earthquake hazards. Based on a literature analysis, it can be concluded that artificial neural networks are widely used in simulating and predicting story drift in high-rise building systems. The objective of the current investigation is to present a comprehensive overview of the many approaches and uses of artificial neural network modeling research in the domain of structural engineering. Accordingly, the articles were categorized in this way based on author, year, algorithm used, software application and description of findings and conclusions. Here, the most influential parameter (input vector) is also rigorously reviewed. This information may be taken into account when creating a neural network model that operates more effectively. The review's conclusions might prove beneficial for structural and/or civil engineering problems. The approaches described here assist the structural practitioner in understanding the limitations and advantages of ANN in comparison to other traditional mathematical modelling. This review contributes a body of knowledge for the ANN modelling approach to forecast the story drift evaluation within the field of structural engineering.
PCOS Disease Prediction Using Machine Learning Algorithms
Authors: M.Priyadharshini  , A.Srimathi  , C.Sanjay  , K.Ramprakash
Published: March 2024

Polycystic Ovary Syndrome (PCOS) is a prevalent endocrine disorder affecting reproductive-aged women, characterized by hormonal imbalances, irregular menstrual cycles, and the presence of cysts on the ovaries. One of the most worrying diseases today is Polycystic Ovarian Syndrome (PCOS) which is highly dangerous to an extent of affecting women's reproductive life to a huge extent. The dataset includes a diverse set of features such as age, body mass index (BMI), hormonal levels, menstrual irregularities, and lifestyle factors. We explore various machine learning algorithms, including linear regression, decision tree, and random forests to identify the most effective model for PCOS prediction. [1] The study focuses on the development of a robust and clinically applicable predictive model that can aid healthcare professionals in early identification of individuals at risk of PCOS. The results obtained from this research have the potential to significantly impact the field of women's health by offering a reliable and efficient tool for PCOS prediction. Early identification of individuals at risk can facilitate timely interventions, personalized treatment plans, and improved outcomes. Furthermore, the study contributes to the growing body of literature on the application of machine learning in healthcare, demonstrating its potential as a valuable tool for predictive modelling in complex endocrine disorders such as PCOS.
Therapeutic Implications of Voiced Sounds in Children with Communication Needs
Authors: Dr. Manjula.G  , Dr. Latha. M  , Dr. Raghavendra. Y M  , Dr. Asha M
Published: March 2024

Children with hearing impairments, who do not receive auditory feedback eventually develop speech impairments. Children with hearing impairments lack the ability to talk even by having normal speech production mechanisms. The hearing-impaired child's articulation, accuracy, stress, and intonation patterns are all impacted even if he/she attempts to speak by visualizing lip movements because they are unable to distinguish vowels and consonants with tongue movement concealed in the mouth, nor they are able to understand variations in pitch or intensity of speech. Individuals with hearing impairments may receive auditory, tactile, or visual input, contingent on the degree of their disability. This research is dedicated for developing preliminary systems for teaching. These systems can be created using feedback of articulatory parameters or feedback of acoustic parameters, such as fundamental frequency, speech intensity, and spectral features. Data from speech language pathologists were collected from 20 children with and without speech impairments, aged 5 to 8 using picture naming tasks. The statistical analysis on voiced samples /pha/, /mha/, /tha/ relived the significant variation between children with and without hearing impairments.
Automatic Street Light Control Using IoT and Solar Energy
Authors: R.Arunbabu  , Dr.R.T.Ajaykarthik  , Finney Babu  , Yanamala MahiSudharsan Raju  , Navanidhan.R
Published: March 2024

The concept of automatic street light illumination based on IoT (Internet of Things) is becoming increasingly popular in smart city development. This system involves the use of sensors and wireless communication technologies to automate the operation of streetlights. The system works by installing sensors, such as light sensors or motion sensors, on the streetlights. These sensors detect the presence of people or vehicles and adjust the intensity of the streetlights accordingly. For example, if there are no vehicles or pedestrians around, the system will dim the streetlights to save energy. On the other hand, if there is activity detected, the system will increase the brightness of the lights.
Alpha Identification Based Otp System
Authors: Prof. Sonali Patil  , Parth Tagadpallewar  , Nayan Pagare  , Neha Raut  , Varad Tagadpallewar
Published: March 2024

In the realm of contemporary digital security, this study focuses on enhancing Secure OTP Management. The Alphabetical ID system is a pivotal solution to bolster security and streamline user authentication. It strategically displays three alphabetic characters in both the generated OTP sent to the user and the interface for OTP input. This design empowers users to identify the latest OTP among received codes, addressing the dilemma of consecutive OTPs causing confusion and potential access denial. The Alphabetical ID system revolutionizes identification protocols, significantly reducing the likelihood of unauthorized access. This heightened identification capability serves as a robust safeguard for sensitive data and reinforces the integrity of digital transactions. The synergy between the Alphabetical ID system and the conventional OTP process marks a paradigm shifts in user authentication, achieving an optimal balance between user experience and identification precision. As businesses transition towards digitization and online interactions, the Alphabetical ID system emerges as a pioneering leap, offering a reliable shield against unauthorized access and catalyzing fortified digital security. This inventive solution stands as a pragmatic answer to the challenge of identification in OTP management, culminating in an elegant fusion of simplicity and efficacy. The proposed Alphabetical ID system is poised to redefine the landscape of Secure OTP Management by placing a heightened emphasis on user-friendly identification mechanisms within the broader context of digital security.
A comparative study of the antioxidant activities of three series of first- and second-generation PPI dendrimers (G1 and G2) functionalized by2- hydroxy-P-naphthoquinone
Authors: DIOUF El Hadji Gorgui , Talibouya NDIOR  , Lahad NIANG  , Mamadou Kébé  , Mamadou Latyr Ndour  , Adama Faye  , Ibrahima BA  , Nicolas Cyrille AYESSOU  , Moussoukoye DIOP
Published: March 2024

The work presented focuses on synthesizing molecules capable of blocking the deleterious effects of oxidative stress. Oxidative stress is caused by an imbalance between the pro-oxidant and antioxidant systems, with the former benefiting. It is implicated in numerous pathologies, either as a cause or a consequence. Oxidative stress is involved in chronic processes such as atherosclerosis and diabetes. The work presented in this article focuses firstly on the synthesis of a new class of first- and second-generation PPI dendrimers (G1 and G2) functionalized with 2-hydroxy-p-naphthoquinone, and secondly on the evaluation of their antioxidant activity. The dendrimeric molecules were obtained using an on-pot synthesis based on the Manich reaction. The molecules were characterised using the usual methods: 1H NMR, 13C NMR and dept, infrared (IR) and mass spectrometry. The antioxidant activity of the compounds was assessed by monitoring the scavenging kinetics of the DPPH (1,1-diphenyl-2-picryl-hydrazyl) radical. For the synthesis, three dendrimers, first- and second-generation PPI (G1 and G2) functionalised by 2-hydroxy-p- naphthoquinone, were synthesised (1a, 1b and 2). Concerning the antioxidant tests of the molecules synthesised, it can be seen that all the dendrimers have the ability to trap free radicals and that the values for the percentages of DPPH reduced are very different. A comparison of the percentages of DPPH reduced showed that P1b <P2< P1a.
A study of antioxidant activity using the DPPH method revealed that the dendrimers synthesised have antioxidant activity. All the results obtained were interesting.
Optimization of Process for Enzymatic Resolution of Racemic Amines using Continuous Flow Bioreactor
Authors: Meyer Elazar
Published: March 2024

The optimization of enzymatic process for the resolution of chemically and pharmaceutically important racemic amines is described using a continuous flow bioreactor. Also described are the isolation and purification methods of the reaction products and the various parameters affecting the optimal reaction conditions for the enzymatic resolution to afford the products in high chemical purity and enantiomeric excess (ee) of over 90%.
A Hormonal and Cell Cycle Centered Approach to Breast Cancer
Authors: Guha Amrita , Dame Haley
Published: March 2024

In the year 2022 alone, almost 2 million new cancer cases have plagued just the United States, breast cancer being the most threatening for women (Łukasiewicz et al., 2021). It is important to advance our scientific understanding of cancer, to improve our surgical techniques, and to administer more efficient chemotherapy. While all of this is true, it is just as important to focus on prevention. To focus on the fundamental understandings of the cell cycle and hormones, and how they can play a major factor in preventing breast cancer. And to also focus on finding compounds like Indole 3 Carbinol which is present in our food, to teach us how certain environmental and lifestyle changes might keep us healthier for longer and prevent mutations in our cell cycles.
A Study on Countermeasures for Disruptive Passengers on Board Aircraft
Authors:   Korea Aerospace University, Korea, Shin Ri Hyun
Published: March 2024

Unlawful acts and unauthorized disruptions by passengers on aircraft have been on the rise post-pandemic with the increased air travel demand. In recent years, the number of such incidents involving passengers has not only increased but also diversified. Depending on the severity of these actions, they can potentially have serious consequences for aviation safety. Therefore, there is a pressing need for strong intervention regardless of means used in some cases. This situation highlights the crucial role of cabin crew more than ever before. However, despite the importance of addressing actions that may pose a safety threat by passengers promptly and decisively, there is a growing confusion in practical scenarios regarding the use of tasers. To address this and enhance aviation safety and security, this study examined the appropriateness of taser usage based on the types of threats posed. As a result of this, a taser usage matrix was developed, taking into account the legal positions, roles of in-flight security personnel and special law enforcement officers of cabin crews on board. The outcome of this research is expected to provide clear and comprehensive guidelines for taser usage, thus improving efficiency in responding to unruly passengers. Also, the intention of the study is to establish specific taser usage regulations for in-flight tasks, deriving practical solutions needed in the field. Through these efforts, the aviation industry will be able to enhance aviation safety and security by equipping itself with more effective means to counter illegal disruptions and ensure the safety of passengers and crew members. Key Words: Tasers, Cabin Crew, Aviation Security, Unruly Passenger, Air Rage, Tasers Usage Manual
The Effects of Job Insecurity of Flying Trainees Caused by Pandemic on the Job-Seeking Efficacy: Focusing on the Mediating Effect of Major Satisfaction
Authors:   Catholic Kwandong University, Korea, Yoo Jae Hoon , Jeon Seung Joon ,   Catholic Kwandong University, Korea, Kim Kyoung Eun ,   Catholic Kwandong University, Korea
Published: March 2024

This study examines how job insecurity affects the job search effectiveness of flight trainees and explores the moderating role of job satisfaction. Surveying 306 flight trainees from universities and private institutions, the research reveals that job insecurity significantly impairs their ability to gather job-related information and cope with challenging situations. Job satisfaction moderates the relationship between job insecurity and specific job-related anxieties, providing a buffer against negative impacts. This study uniquely focuses on flight trainees and highlights the importance of reducing job insecurity to improve their job search efficacy, emphasizing the positive influence of job satisfaction in this context. First, the effect of job insecurity of flight trainees on job search efficacy was analyzed. First, as a result of analyzing the effect of flight trainees' job insecurity on job understanding among job insecurity factors, job insecurity and job insecurity among flight trainees have a significant negative effect on job information. Second, the moderating effect of job satisfaction on the effect of job insecurity on job search efficacy of flight trainees was analyzed. First, major satisfaction did not have a significant moderating effect on the relationship between job anxiety and job anxiety among the sub-factors of job anxiety, but there was a significant moderating effect on the relationship between job anxiety and job anxiety. This study differed from previous studies in the subject of the survey by applying it to flight trainees in empirical analysis of the impact of job insecurity on job search efficacy. Furthermore, the academic significance of this study can be found in that it has been verified through empirical analysis that job satisfaction can have a positive effect on job search efficacy by verifying the moderating effect of job satisfaction on job satisfaction. Key Words : Job Insecurity, Job Search Efficacy, Major Satisfaction, Job Understanding, Flight Trainees.
Uso del fentanilo transdérmico para la analgesia postoperatoria en cirugía de artrodesis del raquis
Authors: Fortaleza de Araújo José Nilson , Adolphsson Zidan Samantha Ottoni , Araújo Cavalcante Rute Maria , Ponte Ibiapina Roberto Cesar
Published: March 2024

Objetivos: El control del dolor postoperatorio de moderado a intenso aún es un problema en la práctica diaria debido al dolor residual entre intervalos de las administraciones de dosis de analgésicos y los efectos adversos. El fentanilo transdérmico produce analgesia constante durante 72 horas, ha sido usado para analgesia del dolor agudo. El objetivo de este trabajo es evaluar la analgesia proporcionada por el uso del fentanilo transdérmico en el dolor agudo postoperatorio en pacientes sometidos a cirugía de artrodesis de raquis, así como observar la incidencia de efectos adversos relacionados con su uso. Método: Fueron incluidos 9 pacientes sometidos a artrodesis raquídea, bajo anestesia general con propofol, sufentanilo y cisatracurio y mantenimiento con remifentanilo e isoflurano. Se aplicó un adhesivo de fentanilo transdérmico de 12 μg/h antes de la cirugía y a su término se administraron, cetoprofeno, dipirona e tramadol. Se aplicó dipirona cada 6 horas como analgésico de rescate. La intensidad del dolor fue evaluada cada 12 horas por medio de la Escala Análoga Visual y se registró el consumo de dipirona y cetoprofeno en intervalos de 12 horas.Resultados: Después de 12 horas de la aplicación del adhesivo, la media de la intensidad del dolor era de 2,11 ± 2,84. La máxima intensidad del dolor fue 60 horas después de la aplicación del adhesivo y los menores valores fueron constatados entre 24 y 72 horas después de la aplicación del adhesivo de fentanilo transdérmico. El máximo consumo de consumo total de dipirona fue de 8. 000 mg en el período comprendido entre 12 y 24 horas y entre 36 y 48 horas, y el menor consumo fue de cero mg en el período comprendido entre 60 y 72 h, aunque no hubo diferencia estadísticamente significativa en los intervalos observados (p = 0,47). Los efectos colaterales fueron: un caso de somnolencia y otro de náuseas y vómitos.Conclusión: Los resultados de este estudio sugieren que el fentanilo transdérmico se mostró seguro y efectivo para la analgesia postoperatoria de la cirugía de raquis. Los resultados también evidenciaron que el fentanilo transdérmico presentó efectos colaterales poco relevantes.