bluuebunny/crossref_metadata_2025 huggingface dataset:
BLOCKCHAIN UNTUK APLIKASI IOT HEALTHCARE: STUDI LITERATUR
Authors: Cahyono Taufiq Dwi , Hadikurniawati Wiwien
Published: September 2023

Teknologi blockchain telah mengalami perkembangan pesat dalam beberapa tahun terakhir dan telah menyentuh hampir setiap aspek informasi dan bidang teknologi komunikasi. Potensi blockchain dapat diterapkan di berbagai industri dan bidang, termasuk logistik, rantai suplai pasokan, IoT, dan layanan kesehatan. Dalam industri kesehatan, blockchain memiliki dampak yang signifikan. Namun penilaian kritis terhadap aplikasi blockchain dalam pelayanan kesehatan masih belum tersedia secara komprehensif. Penelitian ini bertujuan untuk memberikan landasan teknis tentang berbagai aplikasi  kesehatan berbasis blockchain, dengan fokus pada perkembangan terkini di bidang ini. Studi ini akan membahas teknologi blockchain kontemporer yang telah diterapkan dalam industri kesehatan, termasuk berbagi data medis, manajemen rantai suplai medis, rekam medis elektronik, klaim asuransi kesehatan, farmasi industri, dan pemantauan pasien jarak jauh. Penelitian ini memberikan wawasan mendalam tentang penggunaan blockchain dalam aplikasi pelayanan kesehatan berbasis IoT dan menyediakan analisis SWOT yang komprehensif untuk membantu pemangku kepentingan dalam memahami manfaat, tantangan, peluang, dan ancaman yang terkait dengan teknologi ini. Diharapkan bahwa hasil survei literatur ini akan memberikan landasan yang kuat untuk pengembangan lebih lanjut dan penerapan blockchain dalam pelayanan kesehatan IoT yang aman, efisien, dan terpercaya.
Hastane Afet Yönetim Sürecinde Tıbbi Sosyal Hizmet Uygulamaları: Kahramanmaraş Depremleri Üzerine Bir Değerlendirme
Authors: KARAAĞAÇ Hakan
Published: September 2023

Dünyanın birçok yerinde deprem, sel gibi doğa olayları ya da insan eliyle gerçekleşen afet olayları can kayıplarına sebep olmakta; bu durum da toplumları birçok açıdan olumsuz etkilemektedir. Türkiye, afetler konusunda acı tecrübelere sahip ülkelerdendir. 6 Şubat 2023 tarihinde gerçekleşen ve yüzyılın felaketi olarak adlandırılan Kahramanmaraş Pazarcık ve Elbistan Depremleri afet yönetim süreçlerinin önemini bir kez daha göstermiştir. Sağlık tesisleri afetlerde yoğun hizmetler sunan kuruluşlardır. Acil müdahale ve tıbbi bakımla birlikte sağlık tesisleri afetten etkilenen kişilere çeşitli psikososyal hizmetler sunmaktadır. Sosyal hizmet uzmanları, sağlık tesislerinde psikososyal müdahale ekiplerinin önemli bir parçasıdır. Barınma, korunma, sosyal bakım ve psikososyal destek gibi temel ihtiyaçların karşılanmasında ve farklı vaka yönetim süreçlerinde sosyal hizmet uzmanları; depremden etkilenen bireyler ve aileleriyle ilk teması sağlayabilecek ve hastane ortamında gerçekleştireceği mesleki müdahaleleriyle müracaatçılarını toplum kaynaklarıyla buluşturabilecek meslek profesyonelleridir. Bu bağlamda çalışmanın amacı, Kahramanmaraş Depremleri sonrası sağlık kuruluşlarında, afetten etkilenen bireylerin ve dezavantajlı grupların psikososyal ihtiyaçlarına odaklanmak ve gerçekleştirilebilecek sosyal hizmet müdahalelerini literatür ışığında tartışmaktadır. Sonuç olarak afet ve risk yönetiminde hastane temelli psikososyal ve ekonomik destekler, kişilerin erken dönemde ihtiyaçlarının karşılanmasına katkı sağlayacaktır.
Anatomical and Radiological Evaluation of Brainstem Morphometry of Subjects with Amyotrophic Lateral Sclerosis
Authors: Özandaç Polat Sema , Koç Filiz , Öksüzler Fatma Yasemin , Göker Pınar
Published: September 2023

Background: The aim of this study was to define the significant new insights and reveal the morphometric and volumetric changes in brainstem of ALS patients.
Material and Methods: We analyzed the clinical records of 50 (males, n = 30; females, n = 20) ALS patients who were admitted to the Department of Neurology between January 2012 and September 2022. Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised was used to quantify the patients. Onset complaints were in the upper extremity (n = 37), lower extremity (n= 19), bulbar involving (n = 15), dizziness (n= 3), unilateral paresthesia, and arm pain (n= 4).
Results: The means of the brainstem morphology were estimated as following: the diameters of cerebrum anteroposterior (154.53mm), superior inferior (132.83mm), transverse (133.25mm), pons anteroposterior (14.6mm), vertical (22.84mm), mesencephalon anteroposterior (10.33mm), vertical (14.55mm), the distance between the interpedincular fissure and aquaduct (11.78mm), the distance between cerebral peduncles and aqueduct (13.13mm), the distance between pons, mesencephalon, medulla and the fourth ventricular floor (21.57mm), the anteroposterior diameters of medulla at pontomedullary junction (11.69mm) and at medulla spinal junction (8.35mm), the volume of medulla oblongata (2035.76mm3). After these measurements, the following ratios were calculated as: the ratio between pons, mesencephalon, medulla and the fourth ventricular floor and anteroposterior diameter of medulla at pontomedullary junction (1.87), the ratio between pons, mesencephalon, medulla and the fourth ventricular floor and anteroposterior diameter of medulla at medullaspinal junction (2.65), the ratio between pons, mesencephalon, medulla and the fourth ventricular floor and the distance between the interpedincular fissure and aquaduct (1.86), the ratio between pons, mesencephalon, medulla and the fourth ventricular floor and cerebral peduncles and aqueduct (1.66), the ratio between anteroposterior distances of mesencephalon and pons (0.71) and the vertical diameters between mesencephalon and pons (0.639). Some values showed significant difference in terms of age and gender, whereas all parameters were found higher in males than in females (p<0.05).
Conclusions: According to literature analysis, this paper is the first study that determined the linear brain stem measurements and ratios of ALS patients. Therefore, we believe that the data presented in this paper underline the clinical importance and detailed knowledge about ALS diagnosis.
Influencia de los kits didácticos en el aprendizaje de las ciencias experimentales química y biología: Hallazgos desde la literatura científica
Authors: Chonillo-Sislema Luis , Sucari Wilson , Rocha Nelly , Solís-Luis Froy
Published: September 2023

This article exposes the influence of didactic kits in the learning of experimental sciences, chemistry and biology. The documentary review methodology of 22 reliable published articles was used, registered using search criteria in the Google Scholar, Scielo, Pubmed, Realdy, Scopus databases published during the last ten years. It was found that the didactic kits favor and enhance education, adapt to the needs of the students, allow to innovate the teaching-learning process of both chemistry and biology, make the contents more significant, integrating pedagogical elements, playful and practical methodologies, which help to strengthen student learning, promoting significant cognitive schemes and stimulating the senses, linking more positive attitudes to learning-learning and motivating them, through a structured, organized and progressive process. It was concluded that the didactic kits must present characteristics of functionality, experimentation, structuring and relationship, which allows the student to learn in a more autonomous and meaningful way, which leads to potentiate their ability to understand and apply scientific concepts. in the real world, thus increasing the motivation to learn. Didactic Kits improve comprehension skills in a versatile, efficient and effective way.
Creatividad computacional: un análisis a las teorías de M. Boden y G. Wiggins
Authors: Olivares-Soria Edmar , Padilla-Longoria Pablo
Published: September 2023

Computational creativity is a multidisciplinary intersection within the field of Artificial Intelligence, which has different objectives such as the development and evaluation of artificial systems capable of exhibiting creative behaviors. In this context, the works of Margaret Boden along with the subsequent problematization proposed by G.A. Wiggins can be considered as seminal conceptual references, which have allowed for various reflections and concrete theoretical foundations related to the subject matter. The works of both authors have been developed through diverse and distinct asynchronous publications, and in this sense, this paper condenses the different conceptual elements on types of creativity, conceptual space, and transformative and exploratory creative systems proposed throughout those works into a single theoretical-analytical framework. These elements are presented as a useful and efficient tool to establish formal theoretical criteria for evaluating capacities and abilities associated with creative behavior exhibited by artificial systems, both in current development and in speculative formulation for the future. Therefore, this article presents a comprehensive, detailed, and condensed analysis of Boden's work and Wiggins' subsequent problematization regarding key ideas, theoretical formulations, and concepts in the field of Computational creativity. In this regard, the present article contributes to the understanding and dissemination of the fundamental ideas in the field of Computational Creativity, establishing a condensed and detailed analysis of these topics, and serving as a reference for academic consultation.
Incidencia de los factores socioculturales en la violencia familiar en mujeres en un hogar refugio temporal en Perú
Authors: Patatingo-Davila Brisayda , Mendoza-Choque Zaida
Published: September 2023

The present article aimed to determine the incidence of sociocultural factors in women who are victims of domestic violence. It was studied using the hypothetical-deductive method, a descriptive causal research approach, and employing a non-experimental cross-sectional design. The studied population consisted of 50 women from the temporary shelter in Cusco (Peru). The data collection instrument used was a questionnaire designed and validated using Cronbach's alpha coefficient. Data processing was conducted using Stata17 and SPSS, employing an econometric model of multiple linear regression with ordinary least squares. The main results obtained indicate that sociocultural factors significantly impact domestic violence. This is evidenced by the joint F-statistic with an acceptable high value of 0.77%, considerably removed from the range of 0 and 1, with a negligible error probability of 0.0%. This demonstrates that the model effectively fits the analysis of dependent variables. Regarding the R-squared value, it illustrates that sociocultural factors account for 76% of the occurrence of domestic violence. In terms of the individual analysis of independent variables, it is apparent that cultural factors contribute to explaining 51.8% of domestic violence, while a smaller percentage of 18.8% is attributed to social factors.
PENGARUH IMPLEMENTASI KEBIJAKAN DANA KAPITASI DAN KINERJA TERHADAP KUALITAS PELAYANAN KESEHATAN DI PUSKESMAS CIMAHI TENGAH
Authors: Kalora Mike , Rosadi Barkah , Sahromi Sahromi
Published: September 2023

The main problem in this study is the capitation policy in the JKN era through BPJS in the Cimahi Tengah Health Center, Cimahi City in particular, and Indonesia in general, the quality of health services and employee performance have not met expectations. This is caused by the implementation of policies that have not been optimal and knowledge about this capitation policy has not been understood. This study aims to determine the effect of capitation policy implementation and performance on improving the quality of health services in the Cimahi Tengah Community Health Center, Cimahi City. The method in this study is to use a descriptive analysis method, namely by describing each variable and testing both variables with a quantitative (statistical) approach which is then analyzed and compared with existing theories and problems to draw conclusions. Based on the findings in this study, the provision of capitation policies, both material and non-material, needs to be fulfilled so that employees can achieve performance that is in line with organizational expectations. For this reason, it is necessary for the leadership to pay attention to the implementation and application of the capitation system built to achieve organizational goals and objectives.
Analisis Pengaruh Ceo Turnover, Opini Audit dan Pertumbuhan Perusahaan terhadap Auditor Switching dengan Financial Distress sebagai Variabel Moderasi
Authors:   Universitas Trisakti, Jakarta Barat, Kristianti Indah , Herawaty Vinola ,   Universitas Trisakti, Jakarta Barat
Published: September 2023

Purpose: This study aims to examine and analyze the effect of CEO Turnover, Audit Opinion, Company Growth on auditor switching with financial distress as a Moderating Variable. Methodology/approach: The type of data used in this study is secondary data, in the form of financial reports and annual reports. The population in this study are all property and real estate companies listed on the Indonesia Stock Exchange (IDX) for the 2017-2021 period. Sample data were obtained by purposive sampling method with the features of voluntary auditor changes or under 6 years. So that the final number of samples obtained was 140 data. The data analysis technique used is logistic regression analysis. Results/findings: The research results show (1) CEO Turnover has a positive effect on auditor switching (2) Audit opinion has no effect on auditor switching (3) Company growth has no effect on auditor switching (4) Financial Distress has a positive effect on auditor switching (5) Financial Distress strengthens the influence CEO turnover on auditor switching (6) financial distress is not able to influence the effect of audit opinion on auditor switching (7) financial distress is not able to moderate the effect of company growth on auditor switching.
Level of cultural sensitivity and its influence on teachers’ performance
Authors:   South Cotabato State College, Philippines, Baron Jomarie V.
Published: September 2023

Purpose: The primary goal of this study was to analyze the level of cultural sensitivity and its impact on the performance of secondary school teachers in Buayan District, Division of General Santos City. This study attempted to identify correlations between cultural sensitivity and secondary teacher performance. Research methodology: The research design of this study was descriptive-correlative. Since the design is descriptive, it provides a full discussion and explanation of teachers' cultural sensitivity and its impact on their performance. Furthermore, the study's methodology aimed to identify significant correlations between the variables under investigation. The mean and Pearson product-moment correlations were the statistical measures employed to evaluate the hypotheses. Results: The findings revealed a significant, moderate, and direct relationship between cultural sensitivity and teacher performance. Consequently, strengthening teachers' cultural sensitivity may improve their performance. Limitations: This study was limited to three (3) Buayan District Public Secondary Schools. The variables under consideration were narrowed down because cultural sensitivity is only concerned with the value system, belief system, decision making, and cross-cultural communication. On the other hand, teachers’ performance variables focused only on the teaching and learning processes, student outcomes, and community involvement. Contribution: The findings of this study provide information on teachers' levels of cultural sensitivity as a foundation for improving their performance and developing a curriculum for teaching in various cultures. Novelty: This study's originality focuses on its factors, which integrate cultural sensitivity and teachers’ performance. This research aids in determining the impact of teachers' cultural sensitivity on their performance.
Emptiness Through the Perspective of Existentialism and Religion in the Digital Age
Authors: Nandini Shafira Yasmin
Published: September 2023

This study aims to provide an understanding of how the emptiness is felt by humans, especially in the digital era through the philosophical views of existentialism and religion. The research conducted is qualitative in nature and uses library research methods sourced from books, journals, dictionaries, and other scientific articles. The emptiness felt by humans as research objects is analyzed descriptively to create a comprehensive understanding. The results of this study found that the emptiness felt by humans in the digital era can occur due to digital dependency and fatigue, which is closely related to the perspective of human existence at the aesthetic and ethical stages. In addition, emptiness can also appear suddenly which can be related to existential problems or psychological mechanisms. To overcome the emptiness so far discovered is to move on to a higher stage of human existence, ending with a religious stage which also represents a view of emptiness through a religious perspective. However, religious views still suggest that digital technology in human life is something negative, while if it is used wisely, digital technology should be able to carry out its function as a means of fulfilling the needs of human life instead of becoming a potential source of emptiness.
Peran Pendamping Sosial Program Keluarga Harapan dalam Mencapai Graduasi Sejahtera Mandiri (Studi pada Pendamping Sosial dengan Latar Belakang Kesejahteraan Sosial dan Nonkesejahteraan Sosial)
Authors: Komalasari Dewi , Nugroho Fentiny
Published: September 2023

Kemiskinan merupakan suatu permasalahan mutidimensi yang diatasi dengan berbagai strategi penanganan. Program Keluarga Harapan (PKH) dengan pendekatan pembangunan sosial sebagai salah satu instrumen untuk mereduksi kesenjangan dan kemiskinan yang didalamnya terdapat pendamping sosial sebagai tenaga profesional. Penelitian ini bertujuan untuk menggambarkan peran pendamping sosial dalam mencapai graduasi sejahtera mandiri dengan keterkaitan latar belakang pendidikannya serta keterlibatan Pemerintah Daerah dalam mendukung peran pendamping sosial. Penelitian ini merupakan penelitian deskriptif dengan pendekatan kualitatif. Teknik pengumpulan data berupa studi dokumen, wawancara mendalam dan observasi. Pada hasil penelitian ditemukan peran pendamping sosial PKH dalam memberikan materi, informasi, motivasi, pelatihan sederhana, melakukan pemantauan terhadap data transaksi bantuan sosial, kondisi ekonomi Keluarga Penerima Manfaat (KPM) dan anggaran usaha KPM. Keterkaitannya dengan latar belakang pendidikan yakni terdapatnya perbedaan dalam melakukan engagement untuk membangun trust, asesmen didalam kelompok, networking sebagai upaya pemberdayaan ekonomi, inisiatif kolaborasi dalam pembentukan kelompok usaha. Perbedaan tersebut nampak pada Pendamping Sosial PKH dengan latar belakang pendidikan kesejahteraan sosial dan nonkesejahteraan sosial, serta Pendamping Sosial PKH nonkesejahteraan sosial dengan memiliki pengalaman sebagai relawan sosial. Kemudian terdapat keterlibatan Pemerintah Daerah yaitu terdapatnya program Jakpreneur, pengawasan serta dukungan sarana dan prasarana bagi pendamping sosial PKH.
E-Service Quality, Online Customer Reviews, and Purchase Intention as the Moderating Role of Purchase Decision
Authors: Prabowo Febryanto Agung , Utama Rizky , Kartono Rano
Published: September 2023

The existence of technology has caused a change in people’s spending patterns, where initially, shopping was carried out in person, but now it can be done online. To increase the number of buyers, increasing the e-service quality for online sellers is necessary. This research will examine the influence of e-service quality, online customer reviews, and purchase intention as the moderating role of purchase decisions. This research will be carried out using a quantitative approach. The data analysis method used is the Structural Equation Model (SEM) analysis method with SmartPLS3 software. This research then finds that e-service quality and online customer reviews significantly affect purchase intention. Then purchase intention has a significant effect on the purchase decision. Lastly, e-service quality and online customer reviews affect purchase intention, which affects purchase decisions.
Pemberdayaan Ekonomi Masyarakat melalui Affiliate Marketing dan Peningkatan Pendapatan Afiliator
Authors: Hamzah Muchammad Wilianto , Mulyana Asep , Faisal Yudi Ahmad
Published: September 2023

Indikator keberhasilan pemberdayaan ekonomi sebagai sebuah proses seringkali diambil dari tujuan sebuah pemberdayaan yang menunjukkan pada keadaan atau hasil yang ingin dicapai oleh sebuah perubahan sosial. Penelitian ini bertujuan untuk menganalisis pengaruh affiliate marketing terhadap pemberdayaan ekonomi melalui peningkatan pendapatan afiliator.  Responden penelitian ini merupakan affiliate marketer dari berbagai platform e-commerce yang tersebar diberbagai kota di Indonesia. Pendekatan yang digunakan adalah deskriptif kuantitatif dengan teknik analisis jalur. Hasil penelitian menunjukkan affiliate marketing berpengaruh terhadap peningkatan pendapatan afiliator dan pada akhirnya memberdayakan ekonomi mereka. Konsep ini sangat cocok dengan ide-ide yang merupakan inti dari ekonomi sosial dan mengacu pada aktivitas yang diambil untuk kepentingan publik, yang mengasumsikan dominasi efek sosial atas upaya untuk memaksimalkan keuntungan. Penelitian ini memberikan memberikan pemahaman baru, bahwa program affiliate marketing adalah salah satu bentuk baru dari pemberdayaan ekonomi, yang kedepannya akan terus maju dan berkembang ke arah cooperative economy yang lebih adil dan menyejahterakan.
FPGA Based Efficient OFDM Based Design and Implementation for Data and Image Transmission for Healthcare
Authors:   Department of Electrical Communication Engineering, AMD, Bangalore (Karnataka) India., T R Vasanth Kumar
Published: September 2023

Enormous growth in telecommunication industry demands for high speed data transmission with better quality of service (Qos). The telecommunication networks are offering the services which is from 1 Mbps to several Mbps of speed. However, most of the existing techniques address to assure the very high speed data for multimedia communication. The multimedia data may find a suitable application in healthcare system. The OFDM modulation technique promises to provide the multimedia services at rather high speed using the spectrum more efficient compared traditional scheme like TDMA, FDMA. The orthogonality of carriers eliminates the interference among the closely packed carriers and offers comparatively efficient bandwidth. The OFDM design requires choosing proper parameter selection. Important feature of OFDM is that the multipaths are effectively eliminated by choosing a higher cyclic prefix values which, gives significant results but causing more energy loss. This paper presents an efficient design for OFDMtransceiver by using FPGA. The design is modeled and simulated using Matlab Simulink and finally the design is coded using Verilog RTL and simulated in modelsim and synthesizing and implementation is done using in Xilinx EDA tool. The image type of data is taken for transmission in the proposed OFDM transceiver system. The received image type data achieves PSNR value of 29.920dB and the binary input data achieves 36.06% improvement in power utilization and less area overhead. The paper also shows the improvement in area and power compared to existing authors.
Machine Learning Algorithms Based Non Alcoholic Fatty Liver Disease Prediction
Authors:   Department of Computer Science and Engineering, CMR Engineering College, Hyderabad (Telangana), India., Munukuntla Bindu Bhargavi , Yalawar Mrutyunjaya S. ,   Assistant Professor, Department of Computer Science and Engineering, CMR Engineering College, Hyderabad (Telangana), India.
Published: September 2023

The early stage liver diseases prediction is an important health related research and using this kind of research easily can predict the diseases and take the remedies. The liver diseases are classified into different types such as liver cancer, liver tumor, fatty liver, hepatitis, cirrhosis etc. Non-Alcoholic Fatty Liver Disease is a kind of chronic disease which rigorous prediction is quite difficult at early stages. The prediction of fatty liver plays significant role in treating the disease and also constraining the next health consequences. This paper presents Machine Learning Algorithms based Non Alcoholic Fatty Liver Disease (NAFLD) prediction. The main objective of this project is to identify the potential factors causing NAFLD by using Machine Learning algorithms like Decision Tree (DT) classifier, Support Vector Machine (SVM) classifier, Random Forest (RF) classifier, Logistic regression (LR). Accuracy is used parameter for performance analysis evaluation. The findings of this paper show that random forest model accurately predicts a non-alcoholic fatty liver disease patient.
Reinforcement Learning based NLP
Authors:   B Tech, Department of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, India., Krishna Gopi
Published: September 2023

In the field of Natural Language Processing (NLP), reinforcement learning (RL) has drawn attention as a viable method for training models. An agent is trained to interact with a linguistic environment in order to carry out a given task using RL- based NLP, and the agent learns from feedback in the form of rewards or penalties. This method has been effectively used for a variety of linguistic problems, including text summarization, conversation systems, and machine translation. Sequence-to- sequence Two common methods used in RL-based NLP are reinforcement learning and deep reinforcement learning. Sequence-to-sequence While deep reinforcement learning includes training a neural network to discover the optimum strategy for a language challenge, reinforcement learning (RL) trains a model to create a series of words or characters that most closely matches a goal sequence. In several linguistic challenges, RL-based NLP has demonstrated promising results and attained cutting-edgeperformance. There are still issues to be solved, such as the need for more effective exploration tactics, data scarcity, and sample efficiency. In summary, RL-based NLP represents a potential line of inquiry for NLP research in the future. This method outperforms more established NLP strategies in a variety of language problems and has the added benefit of being able to improve over time with user feedback. To further enhance RL-based NLP's effectiveness and increase its applicability to real-world settings, future research should concentrate on resolving the difficulties associated with thisapproach.
Comparative Efficacy of Aqueous Extracts of Lime (Citrus aurantifolia) and Grape (Citrus paradisi) Peel in the Control of Callosobruchus maculatus (F.)
Authors: Uddin II R. O. , Omolale O. O. , Ogundare O. P.
Published: September 2023

A laboratory study was conducted in the Department of Crop Protection, University of Ilorin, to evaluate the single and mixed insecticidal action of aqueous extracts of grape (Citrus paradisi) and lime (Citrus aurantifolia) peel in the control of cowpea beetle, Callosobruchus maculatus. The experiment was laid out in a completely randomized design. There were four treatments with three replicates per treatment. The treatments were applied at the following rates, 0.5ml, 1.0ml, and 1.5ml per 100g of cowpea seeds. The following parameters were used to assess the efficacy of the treatments; adult mortality, oviposition, number of larvae, number of pupae and F1 progeny emergence. The findings of this experiment showed that 1.0 ml of aqueous peel extract of grape + lime had significantly higher female mortality compared to control at 3rd and 5th DAT. Aqueous peel extract of lime caused a significantly lower (70.67 + 4,3) oviposition rate compared to control (141.33+ 7.4) at 2 DAT with 1.5 ml being the most effective rate of application at 4 DAT. Aqueous peel extracts of lime was most effective in significantly reducing larval emergence (1.33 + 0.3) compared to control (8.33 + 0.5). The trend was similar for pupal emergence. Aqueous peel extracts of grape was most effective in reducing male F1 progeny emergence while lime was most effective in reducing female F1 progeny of C maculatus. Aqueous peel extract of lime could be included in control measures used by local farmers in storage of their grains for two months.
Perceived Stressors and Coping Strategies among University Undergraduate Students Of
the Niger Delta University, Bayelsa State
Authors: Dudafa Undutimi J.
Published: September 2023

This study investigated the perceived stressors and coping strategies among university undergraduate students at the Niger Delta University. The Cognitive Appraisal Theory by Richard Lazarus served as the theoretical framework for this study. The cross-sectional survey design was used to sample 300 undergraduate students at the Niger Delta University, Bayelsa State through a random sampling technique. Data for this study was collected through a self-administered structured questionnaire. Data collected for this study was analyzed using descriptive and inferential statistics at p<0.05. Findings from the study revealed that the average age of the respondents was 23.03±2.77, while about half of the respondents were male (50.7%). The study also revealed that a significant number of the respondents (71.0%) affirmed that they were stressed at the time of the study. Perceived stressors of undergraduate students include; academic workload, depression, finance, etc. It is recommended that the University should organize programs on stress management that will teach students how to deal with stressful events and develop good coping mechanisms.
INSECURITY IN THE LAKE CHAD REGION AND NIGERIA’S RISING DEFENCE BUDGETS
Authors: Muhammad Murtala , Hussain Ismail , Onor Kester Chukwuma
Published: September 2023

With the advancement in technology, globalization, ideological explosions and the widespread of light weapons across the globe, the world is fast becoming insecure. In the contemporary world, insecurity knows no bound. Today, terrorism, mass – shooting, kidnapping and banditry have become threats to peace and security and are the highest contributors to humanitarian crises globally as well as the Lake Chad Region. This paper provides analytical and graphic scenarios of increase in defence budget, forgoing critical sectors of human capital development and infrastructure to finance wars and instabilities which only succeeds in making a cyclical adventure of insecurities. The study makes comparative analysis of the phenomenon from 2011 to 2020 when the budget was N121 billion; but with heightened insecurity, the budget was raised to N899 billion. The analyses showed that increase in the defence budget is at the expense of other critical sectors of development including education, agriculture, health and infrastructural development. Equally, the huge budgetary provisions for defence are evidently mismanaged and easily fall into the mighty loop of corruption. Corruption helps elongate the period of war; thereby putting the lives of the citizenry in danger. These lead to less informed society; high unemployment rate; unhealthy citizenry and many other factors that eventually booster insecurity. . The increase in the defence budget meant to ensure the efficacy of all the policies of government in ensuring a stable and peaceful nation does the opposite by opening plethora of security challenges. The study employed a progressive theory of public expenditure and relies on both primary and secondary sources of data. This study can be used as a benchmark by policy makers to formulate a policy that can create a peaceful atmosphere and the development of a comprehensive and workable strategy in defence budgeting and expenditure.
COPING STRATEGY OF UNIVERSITY HOST COMMUNITIES DURING INDUSTRIAL ACTION: NIGER DELTA UNIVERSITY IN VIEW
Authors: Imbazi Woyengitari
Published: September 2023

Industrial actions are complex social problems with debilitating socio-economic consequences on an organisation and its host communities. Notwithstanding this, a number of studies have neglected the coping mechanisms employed by host communities to deal with industrial strikes, focusing solely on the effects of labour disputes on workers and production. This study therefore investigates how host communities deal with industrial activities at the Niger Delta University (NDU). The latency theory served as the framework, while a cross-sectional research design was employed. Amassoma and Ogobiri communities were purposively selected for the study due to their proximity to NDU. A total sample of 418 respondents (aged ≥18 years) were selected, using Yamane’s (1965) sample size determination formula. Simple random sampling was used to administer a structured questionnaire to respondents in the selected host communities. Twelve In-Depth Interviews and six Focus Group Discussion sessions were held among business owners, farmers, landlords, commercial motorcyclists, and students to complement: the quantitative data. Quantitative data were analysed using descriptive statistics, while the qualitative data were content-analyzed. Findings from the study indicated that location change, occupation change, involvement in social vices, partying, etc were the main coping strategies adopted by members of host communities to deal with industrial actions at the Niger Delta University. The study, therefore, concluded that industrial actions affected host communities negatively. It is thus recommended that members of the host communities seek alternative vocational skills as livelihood sources to reduce the likely impact of NDU labour actions.
LESOTHO’S WHITE GOLD: A POTENTIAL SOURCE FOR VIRTUAL WATER TRADE
Authors: Mahlakeng Mahlakeng
Published: September 2023

In literature, the significance of virtual water trade takes many different shapes. In order to increase regional water use efficiency and attain water security in water-scarce regions and/or countries of the world, virtual water trade among nations and even continents could be utilised as a tool. The economy, diplomacy, and internal and international food security are all benefited by Lesotho’s water resources. One of Lesotho’s most precious resources, water, makes a significant contribution to the country’s prospects for long-term, sustainable economic development. In a setting with significant natural climatic volatility, the World Bank determined that improving water security will be crucial to meeting future demand. Water is widely considered as “white gold” in Lesotho. Water is abundant in Lesotho, a blessed nation. Given its plenty of water and low present water consumption, Lesotho is unlikely to develop either water stress or scarcity in the foreseeable future. Thus, there is still opportunity for expanding water use as a source of income, including virtual water trading. Lesotho needs to take into account the water and food shortages in the waterscarce Gulf region and the idea of virtual water trade, which has significant social, economic, and political advantages. The aim of this paper is to assert the importance of Lesotho’s abundant water resource to the global political and economic landscape, and the discourse of virtual water trade. While countries are minimising their direct or indirect water use of producing strategic agricultural and industrial goods, Lesotho can make use of this situation in order to maximise revenue.
A Constant Common Mode Voltage Single-Phase Five-Level Transformerless PV Inverter Considering the Effect of Switch Device Junction Capacitance
Authors: Muktevi Vital LN , Sonti Venu , Siwakoti Yam P. , Lee Sze Sing , jain sachin
Published: September 2023

Constant common mode voltage (CCMV) is critical in Solar Photovoltaic (SPV) systems. Maintaining CCMV further eliminates the transitions in the voltage across the parasitic capacitance of the PV panel, making it a low-frequency output voltage waveform. This further reduces the leakage and common mode current in the SPV systems. This paper presents a five-level switched capacitor PV inverter configuration that maintains the CCMV with low-frequency terminal voltage while considering the effect of switch device junction capacitance (SDJC). Thus, the proposed configuration eliminates the transitions in the common mode and terminal voltage due to the SDJC. The two switched capacitors employed in the proposed configuration are charged and discharged within each switching period, supporting the self-charge balance feature apart from low voltage and RMS current rating, reducing its size and value. Further, the proposed system effectively utilizes the PV source as switch capacitors, and the dc-bus buffer capacitor across the PV source comes in parallel in each switching period. The proposed configuration can also operate at lower modulation indices generating three levels with CCMV. A new mathematical analysis considering SDJC is given for the derivation of expression for terminal voltage and CMV, which is further verified using simulation and experimental results 
Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects
Authors: Hadi Muhammad Usman , tashi qasem al , Qureshi Rizwan , Shah Abbas , muneer amgad , Irfan Muhammad , Zafar Anas , Shaikh Muhammad Bilal , Akhtar Naveed , Wu Jia , Mirjalili Seyedali
Published: September 2023

Within the vast expanse of computerized language processing, a revolutionary entity known as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to comprehend intricate linguistic patterns and conjure coherent and contextually fitting responses. Large language models (LLMs) are a type of artificial intelligence (AI) that have emerged as powerful tools for a wide range of tasks, including natural language processing (NLP), machine translation, and question-answering. This survey paper provides a comprehensive overview of LLMs, including their history, architecture, training methods, applications, and challenges. The paper begins by discussing the fundamental concepts of generative AI and the architecture of generative pre- trained transformers (GPT). It then provides an overview of the history of LLMs, their evolution over time, and the different training methods that have been used to train them. The paper then discusses the wide range of applications of LLMs, including medical, education, finance, and engineering. It also discusses how LLMs are shaping the future of AI and how they can be used to solve real-world problems. The paper then discusses the challenges associated with deploying LLMs in real-world scenarios, including ethical considerations, model biases, interpretability, and computational resource requirements. It also highlights techniques for enhancing the robustness and controllability of LLMs, and addressing bias, fairness, and generation quality issues. Finally, the paper concludes by highlighting the future of LLM research and the challenges that need to be addressed in order to make LLMs more reliable and useful. This survey paper is intended to provide researchers, practitioners, and enthusiasts with a comprehensive understanding of LLMs, their evolution, applications, and challenges. By consolidating the state-of-the-art knowledge in the field, this survey serves as a valuable resource for further advancements in the development and utilization of LLMs for a wide range of real-world applications. The GitHub repo for this project is available at https://github.com/anas-zafar/LLM-Survey
Design a Metamaterial-based patch antenna with gain enhancement
Authors: Kaur Sarabjeet
Published: September 2023

These days, demand for small-size devices having many functions is of great interest, especially in devices that are used in daily life. This requirement is satisfied, for which device components are compact and antenna size needs to be reduced. Metamaterials-based antennas are used to improve gain of antenna. Inside our paper, we are suggesting an antenna with design using metamaterial which will not only help us in reducing antenna size but will also help us improve other antenna parameters like gain, bandwidth, etc also. The aim of this metamaterial-based paper designs to fabricate a metamaterial antenna to study its effect on various dimensions of antenna.
FPGA based Artificial Neural Network Processor for Detection of Epileptic Seizure
Authors: Gupta Bharat , Balivada Yashwant Kumar , KUMAR ABHASH , Sameer Mustafa
Published: September 2023

 The design of an FPGA based portable seizure detection system for epilepsy patients is presented in this paper. For complete hardware support, an FPGA based epilepsy detection system exploiting Artificial Neural Network (ANN) based classifier with on chip training and testing support have been presented in this paper. With the help of such Neural Network processor, the prevailing problems in software like latency can be overcome and, also one can proceed towards an ASIC design of such system which is in high demand in recent days in the field of neuromorphic computing. The proposed hardware design takes the epileptic seizure characteristics namely—mean, variance, skewness, and, kurtosis as the input vectors to the ANN model and generates the classification output similar to traditional software system but now with complete and isolated hardware support. The total framework which incorporates both training and testing has been designed using Verilog HDL on Xilinx Vivado software. The objective development board chosen for epileptic seizure detection implementation and testing was Xilinx Zedboard. The various seizure groups namely— (SZ, SO, SN, SF, S-ZO, S-NF, ZO-NF, S-ZONF) which are taken from 4 unique frequency based groups which are Alpha, Beta, Delta, Theta accomplishing an accuracy ranging from 70% to 90% for different models. Previously, hardware support had already been presented through software hardware co-design approach, where software based training were accompanied by hardware based testing on FPGA. But, the problem with this approach is that it needs repetitive tuning of weights on software to learn patterns on different datasets and then have to store it on hardware for testing/inference work. So, we troubleshooted this problem by our novel work where our proposed FPGA ANN architecture lessens this intricacy incredibly as hardware can train and test on FPGA itself without the need of external software assistance. 
Evaluation of an adaptive hybrid tongue-brain control framework by individuals with amyotrophic lateral sclerosis
Authors: Leck Kæseler Rasmus , Johansen Daniel , Pálsdóttir Ásgerdur Arna , Farina Dario , Bentsen Bo , Blicher Jakob U , Obál Izabella , Dremstrup Kim , Jochumsen Mads , Andreasen Struijk Lotte N. S.
Published: September 2023

Preprint submitted to IOP Journal of Neural Engineering

Objective. Individuals with Amyotrophic lateral sclerosis (ALS) progressively lose muscle functionality and therefore experience both an increased need for assistive robot technologies and a reduced ability to control such robots. While these individuals may use high-performing control systems, such as tongue control, at the beginning of their disease progression, they will eventually be restricted to a lower-performing control system, such as brain control. However, an adaptive multimodal control interface framework consisting of combinations of tongue control and noninvasive brain control can utilize the residual tongue functionality to optimize the control performance throughout the disease progression.

Approach. To investigate this concept, a new adaptive tongue-brain multimodal control framework for manual and continuous control of a 7-degree-of-freedom robot arm is developed, based on a prior validation study. The new framework focuses on improved visual feedback, as individuals with ALS specifically requested this in a previous validation study, and consists of four subsystems: the first uses full tongue control; the second and third use hybrid tongue and noninvasive brain control, with a decreasing need for tongue functionality; and the fourth uses noninvasive brain control only. The framework was evaluated with three participants with ALS.

Main results. All participants were succesful with all subsystems. One user could no longer efficiently use the full tongue control interface but achieved good results with the third and fourth subsystems. The second participant achieved significantly better results with the subsystems that included some tongue control, thereby showing the advantage of including some tongue control. The third participant performed well with all subsystems showing the ideal performance progression between each subsystem. Moreover, all participants, including the two with good tongue control, chose a multimodal control interface as their favorite.

Significance. The results indicate that individuals with ALS prefer interfaces that combine multiple control modalities.
Epstein–Barr virus (Herpesviridae: Lymphocryptovirus) types 1 and 2 and other viral markers in patients with nasopharyngeal carcinoma in two geographically and ethnically distinct regions of Russia
Authors: Smirnova Ksenia V. , Lubenskaya Aleksandra K. , Senyuta Natalya B. , Dushenkina Tatyana E. , Gurtsevitch Vladimir E.
Published: September 2023

Introduction. The discovery of two types of EpsteinBarr virus (EBV) (EBV-1 and EBV-2) that have different biological properties stimulated the search for neoplasms associated with each type of the virus.
The aim of the work is to study the nature of the association of nasopharyngeal cancer (NPC) with EBV-1 and EBV-2, serological activity for each viral type and the concentration of EBV DNA in the blood plasma of two gender, age and ethnic groups of NPC patients that represent geographically and climatically different regions of Russia,.
Materials and methods. In the blood plasma of patients with NPC and other non- EBV associated tumors of oral cavity (OTOCEBV) from the North Caucasian (NCFD) and Central (CFD) Federal Districts of Russia, the types of EBV and the concentration of viral DNA were determined using respectively nested and real time PCR; titers of IgG and IgA antibodies to viral capsid antigen (VCA) were measured in indirect immunofluorescence assay.
Results. The blood plasma samples testing showed that NPC and OTOCEBV patients were infected with both types of EBV in approximately equal proportions. In two groups of NPC patients infected with one of the virus types only, EBV-1 or EBV-2, respectively, no statistically significant differences were found between the geometric mean values of IgG and IgA anti-EBV antibody titers and viral DNA concentrations in blood plasma. The distribution of virus types was not affected by either patient gender or ethnogeographic origin. The difference was found only between age groups: EBV-2 dominated in NPC patients up to 60 years, and EBV-1 was prevalent in patients over 60 years.
Conclusion. The lack of the predominance of one of EBV types in NPC patients that are the representatives of different ethnic groups from geographically and climatically different regions, suggests that none of these factors play an important role in the NPC carcinogenesis. Evidently, each type of EBV, EBV-1 or EBV-2, if the necessary conditions arise, are able to exhibit its oncogenic potential to initiate tumor development.