bluuebunny/crossref_metadata_2025 huggingface dataset:
RELATIONSHIP OF ADJUSTMENT PROBLEMS WITH QUALITY OF LIFE: A SURVEY AMONG STUDENTS LIVING IN HOSTEL SETTINGS
Authors:   Department of Applied Psychology, IUB, Akmal Alveera , Sajjad Muhammad ,   Department of Applied Psychology, IUB, Akhlaq Bisma ,   Department of Applied Psychology, IUB
Published: February 2024

The current research was carried out to check the relationship of adjustment problems of university students who are living in hostel setting. Furthermore, the study also highlighted its relationship on their quality of life. For that purpose, a sample of (N=140) students was collected by using convenience sampling technique. The overall study was quantitative in nature and a cross-sectional research design was used to carry out the study. The variables under study were quantified or assessed by using two scales. The adjustment problems of university hostel students were assessed by using College Adjustment Test (1990) developed by Pennebaker and Quality of Life was measured by using World Health Organization Quality of Life Scale (WHOQOL). Both of measures were valid and reliable. The collected data was analyzed by using SPSS. The results of the study revealed that overall adjustment levels were higher in male students as compared to female students. Similarly, the quality of life was disturbed in female hostel students. Conclusively, the results revealed that adjustment problems are correlated with quality of life. On the basis of results, it was revealed that females are more vulnerable and prone to adjustment issues in transitional challenges and have lower quality of life. Moreover, hostel life also imposed many responsibilities on student’s lives therefore the study suggested to address the factors associated with poor adjustment and low quality of life among students in order to improve their overall adjustment in hostel settings. Keywords: Adjustment Problems, Hostel Settings, Quality of Life.
CONVERSATION ANALYSIS OF PRIME MINISTER IMRAN KHAN’S INTERVIEW WITH VRT CHANNEL JOURNALIST
Authors:   Shaheed Benazir Bhutto Women University, Peshawar, Khan Hina
Published: February 2024

“Conversation Analysis of Prime Minister Imran Khan’s Interview with VRT Channel Journalist” aims to analyze the conversation of the Prime Minister Imran Khan with VRT Channel Journalist Steve Decraene. This is qualitative research which utilizes the Stephen C. Levinson’s Theory regarding Preference Structure and Adjacency Pairs. The study focuses on identifying preference structures, the pattern of adjacency pairs and the reasons behind using particular structures in the conversation. The findings of this study reveal that the most occurring conversational structures are question-answer pattern of adjacency pair and the preferred responses in the conversation of the Prime Minister. There are eight pairs of question-answer pattern and seven preferred responses out of which five patterns of assessment- agreement pair and two patterns of question-expected answer pair are observed. This study has documented that the preferred responses such as question-answer pattern and assessment- agreement patterns are mostly found in the conversation and the least found pattern is assessment- disagreement pair. These conversational patterns in the Prime Minister Imran Khan’s talk reflect his control, authority and composure in his temperament: clarity and credibility in his views. His utterances have forceful but accommodative tone. Keywords: Conversation Analysis, Preference Structure, Adjacency Pairs, Levinson Theory.
ANALYZING ALL QUIET ON THE WESTERN FRONT AND TO KILL A MOCKINGBIRD: LITERATURE PROPAGATING PEACE AND HUMAN RIGHTS
Authors:   NUML/Research Fellow University of Washington, Qayyum Ayesha , Mehmood Meenam ,   Department of Linguistics the University of Haripur, Haripur Pakistan, Iqbal Azka ,   Department of Linguistics the University of Haripur, Haripur Pakistan
Published: February 2024

The discipline of literature is a productive way of bringing transformation in the society for building peace and achieving human rights. Cockrill, Hall (2018) in Understanding Human Rights through Literature, argues that literature can cultivate a better understanding of Human Rights through critical evaluation of characters, analysis of scenarios, and examination of diverse historical voices. The present study analyzes two novels; Erich Maria Remarque’s All Quiet on the Western Front and Harper Lee’s To Kill a Mockingbird. The former novel reveals characters’ physical and mental trauma during the war as well as the detachment from civilian life whereas the latter propagates human dignity. Through both novels, the study manifests that the aim of literature is turning blood into ink, as says T.S Eliot, for building peace among people and dissenting to war and anti-human practices. This qualitative study implies Fry’s (2007) Beyond War as theoretical framework which argues that human being has no inherited inclination for war and this is a politico-cultural creation. The study demonstrates the role of literature in promoting human rights and peace against war and racism. Keywords: Literature, Human Rights, Peace, Transformation, War, Racism.
THEATRE IN THE DIGITAL AGE: CHALLENGES AND AUDIENCE VIEWING EXPERIENCES
Authors:   Department of Mass Communication Forman Christian College (A Chartered University), Zehra Shamail , Karamat Kiran ,   Department of Media Studies Kinnaird College for Women Lahore, Qureshi Niza ,   Department of Mass Communication Lahore College for Women University Lahore
Published: February 2024

A digital native audience may find it more difficult to be captivated by a theatrical performance in the age of technology, yet theater has evolved and survived every technological advancement. The popularity of the plays in Shakespeare's day appears to have been largely dependent on audience behavior, much as it was in the times of Aristophanes and Plautus. In our local Pakistani context, the study investigates whether theater can survive in the present digital media landscape and addresses the key elements that can affect a viewer's decision to see theater in a live setting. A good play, production, and performance are evaluated by audiences who are highly "theatre-literate. Despite the latest developments in technology, there are audiences who are essentially motivated by human interaction and insight, who yearn for the live experience, who appreciate being live in the room with the entertainer and that audience is the reason for the survival of theatre in a digital age. A survey method is utilized to collect data from 200 theater-savvy audiences in order to glean the most pertinent information and enhance the analysis of the information gathered. The results will demonstrate that regular theatergoers choose to attend theater live rather than for free online in order to experience a sense of relationship with the performers and other audience members. The majority of theatergoers said that attending live theater in an era of digital technology was still very much worthwhile. Because theater is a global cultural phenomenon that exists in all societies, the study is important on both a national and international level. Keywords: Theatre, Digital culture, Technology, Audience, Liveness, Brecht Theatre.
ETHNO-NATIONALIST MOVEMENTS IN BALUCHISTAN AND ITS IMPLICATIONS ON POLITICAL SYSTEM OF PAKISTAN
Authors:   Graduate from the Department of Political Science, Bahauddin Zakariya University, Multan, Din Zia Ud , Ahmad Muhammad ,   Department of Political Science, Bahauddin Zakariya University, Multan, Nasir Muhammad Jameel ,   Department of Political Science, Bahauddin Zakariya University, Multan
Published: February 2024

Post-colonial states has been remained a home to multi ethno lingual and hetero cultural folders. Pakistan is one of the examples, having diversified ethno lingual groupings. It has four provinces and each have a distinct socio, cultural and lingual identity. Currently these Ethno-Nationalist movements have pivotal position in the political life of Baluchistan. The land of Baluchistan has experienced the violent tides of different ethno national and sectarian movements, but communalism in Baluchistan pushes the country toward hot water. Along this, uncountable waves of religious extremism in the region add fuel to fire. Both communalism and religious extremism is proving a thorn in flesh and the major hurdle to strengthen the socio economic political path. The concerned study aims to detect major driving factors that contribute to violent moves and also suggests remedial measures to eradicate yielded crisis. That voices our endeavors to cultivate literacy, harmony, equality, and in short neutralization of ethno national movements. The research concludes that intensity of ethnic rise must be the Centre of our priorities because still the water is in dormant position once it flowed, than it would be an uphill task to bear the aftershocks. This piece is intended to highlight the root cause of ethno nationalism and also the expected nightmare as we had faced in the form of Dhaka’s fall. Keywords: Ethno-nationalism, fragmentation, harmony, regional stability, socio economic political disparities.
DIGITAL PAKISTAN POLICY: A DOCUMENT OF WORDS OR PLANS FOR IMPLEMENTATION, A CRITICAL ANALYSIS
Authors:   Riphah International University, Islamabad, Ali Babar , Salam Abdus ,   Riphah International University, Islamabad, Ali Waqar ,   Riphah International University, Islamabad
Published: February 2024

Digital Pakistan Policy is a pivotal stride toward technological progress and innovation. A rigorous comparative analysis is used delving into a multifaceted landscape of Digital Pakistan Policy, shedding light on achievements and hurdles. The legislative reforms, infrastructural enhancement, and innovative initiatives are evidence of the sweeping impact of this policy resulting in E-Commerce and IT Growth. However, persisting gaps, the absence of necessary legislation, and the least focus on skills development require attention. Amidst the ever-changing political milieu, policy stability stands as a cornerstone for sustained progress. This study illuminates a spectrum of untapped potential and success requiring exigency to get the best fruitful result. By comparing the policy against international best practices, this research provides pivotal strategic directions and insight paving the path for shaping the digital journey
Survey on Energy-Efficient and Energy-Balanced WSN Routing Protocols
Authors: Shagari Nura Modi
Published: February 2024

Wireless sensor network (WSN) is a network comprised of tiny sensor nodes. These sensors are characterized by limited memory, low processing capacity, limited power, and transmission bandwidth. The limited energy constraints inherent in WSNs have triggered an extensive research effort to develop Energy-efficient (EE) and Energy-balanced (EB) routing protocols to prolong the lifetime of the network. This study aims to investigate the overall research productivity and trends of the state-of-the-art research in energy-efficient and energy-balanced routing protocol designed for WSNs. The classification of energy-efficient and energy-balanced routing protocols is also a vital aim of this study. As a result, we conducted a selected relevant study with strict adherence to the pre-defined systematic mapping methodology to ensure unbiased inclusion of the relevant studies. This research provides great insight into the focus of the research community, tools being used, and taxonomies of research conducted in EE and EB WSN protocols for the past decade. In the end, this article also provides a comprehensive discussion of the challenges and future directions.
FPGA-Based Implementation of SCADA System for Fuel Management
Authors: Ahmed Shoaib
Published: February 2024

With the emergence of Digital Processors and Logic Design technologies, like FPGAs, the trend of using IC-based plug-and-play modules has been minimized. The focus is commercial off-shelf designing and developing modules and sub-modules on new FPGA technology. Some of the critical factors that make FPGA more suitable include enormous computational power, capabilities to perform logic operations, high-speed clocks, fast memory, and various built-in primitives for computation-intensive arithmetic operations. FPGA becomes suitable for implementing data capturing and processing systems with these characteristics. This paper is about designing and developing an FPGA-based Supervisory Control and Data Acquisition (SCADA) System to monitor and control the fuel level transition between two tanks that generally are designed using PLC. PLC-based SCADA systems are easy to implement, but when discussing performance, PLC cannot replace FPGA. The FPGA chosen is Spartan-3 due to its low cost and meeting the industrial temperature needs. At the same time, it may be translated into any advanced FPGA, producing fewer sources and power consumption benefits. The simulator is Xilinx 14.7 ISE, along with SDK. The implemented system provides the inherent amenities of SCADA along with the benefits of high speed, more accuracy, reduced and predictable delay, and a purely digitized system facilitated by the FPGA.
Assessing the Rainfall Implications on Surface Coal Mining Operations: Thar Case Study
Authors: Pathan Shafi Muhammad
Published: February 2024

Rainfall directly impacts the open-pit surface mining operations in the Thar Coalfield, Pakistan. The overall lithology hosting the lignite type of coal seams in the study area includes Dune Sand, alluvium, and soft sedimentary rocks. Due to the presence of three primary aquifers, the strata overlying and underlying the coal seams are under substantial porewater pressure. Additionally, heavy rainfalls in the Thar area lead to the accumulation of water in mines and may cause pit flooding, making it impossible to continue mining activities until the water is pumped out. Pit flooding often results in equipment damage and production delays. The main focus of the study is to investigate the impacts of heavy rainfall on the mining activities at Thar Coalfield. Two major aspects of open pit mining are considered in this study, i.e., production, and dewatering systems. Due to heavy rainfall, a significant production deviation (V) was noticed in comparison to regular months. The quantity of water drained from the pit (Qa) and anticipated inflow quantity (Qt) values were compared for the rainy season and other times. It was observed that heavy rainfall increases the production deviation from the planned targets and also increases the pit dewatering cost. Moreover, this study suggests preventive measures to address potential losses arising from intense rainfall.
Development a New Diagnostic Based on Autoimmune Markers for Hashimoto Thyroiditis
Authors: Kinasih Wuragil Dyah , Wahono Soeatmadji Djoko , Rudijanto Achmad , Tri Endharti Agustina , Aulanni’am Aulanni’am
Published: February 2024

Autoimmune thyroid disease (AITD) especially Hashimoto’s thyroiditis is one of the global health problems that need to handle through proper early detection. Detection through the presence of markers that appear since the pre-disease phase is important as a prevention effort, and as appropriate treatment by clinicians. The aim of this study isto review many approaches to detect Hashimoto’s thyroiditis from available resources/literature. A comprehensive literature review using an available biomedical database, as well as previous studies conducted by the research team. From this works, Hashimoto’s thyroiditis has been detected through a hormone test (thyroxine, T4) and thyroid-stimulating hormone (TSH), cytokine expression because of damage due to inflammation in the thyroid gland, also detect the presence of autoimmune marker of this disease. Many detections assay also have been developed and reported. Hashimoto thyroiditis detection based on the autoimmune marker is the best approach that can be developed and utilized, but it is necessary to know the advantages and disadvantages of these components in various test methods. So that it can provide optimal results.
Quantitative Estimation of Variability in Content of Asiaticoside in Centella asiatica Linn Collected from Different Geographical Regions of India by HPLC
Authors: Kumar Meena Ajay , Rekha P. , Swathi K. N. , Sadhna C. , Gokul M. , Ilavarasan R. , Srikant N.
Published: February 2024

Centella asiatica Linn is a significant and highly valued medicinal plant in various indigenous system of medicine Ayurveda, Siddha and Unani Indian system of medicines and Chinese medicines. It is one of the chief herbs for treating skin disorder, wounds healing, gastrointestinal disorders, asthma, ulcers, leprosy, vein diseases and memory improvement. In the present study an attempt is made to develop HPLC method for qualitative and quantitative estimation of an important bio active marker Asiaticoside in Centella asiatica collected from different geographical regions of India. Three samples were collected from different geographical regions of India and analyzed by HPLC. The compound separation was achieved on C18 Eclipse, XDB, 4.6mm × 150mm, 5μm particle size column using mobile phase consisted of Acetonitrile: Buffer (25:75v/v) in isocratic elution with flow rate 1.8ml/min. The detection of analytes at 210nm was carried out by using Diode Array Detector (DAD). The comparative study was carried out for variations of Asiaticoside content in Centella Asiatica Linn Collected from different geographical regions of India i.e. Chennai (Tamilnadu), Jhansi (Uttar Pradesh) and Raniketh (Uttarakhand). The studies reveal that the maximum amount of the marker compounds Asiaticoside (0.6157%) is present in the sample collected from Chennai compare to the other regions samples.
A Clinical Review on Ulcerative Colitis (Colon Cancer)
Authors: Muthukumar A. , Keserla Bhavani , Mohasin Abbas Syed , Thapa Reena , Khatija Rumana
Published: February 2024

Ulcerative colitis (UC) is also known as colon cancer or colorectal cancer, a chronic inflammatory condition of the large intestine (colon and rectum). It comes under blood in stool, bowel urgency, fatigue, low energy, and rarely fever. Inulcerative colitis, the part of the colon's inner lining of unknown etiology involves the gastrointestinal tract. More than 80% of ulcerative colitis patients have the lining tissue of the inner rectum inflamed or has proctosigmoiditis, and less than 20% of patients haveextensive colitis. The case of UC has risenworldwide in the recent few decades, particularly in growing countries. The high-risk factors are family history, gender, race, and environmental factors contributing are smoking, infection taking Antibiotics, and NSAIDs. In 2013, Over 350,000 new cases of ulcerative colitis and over 125,000 Patients deaths were reported in the USA. Ulcerative colitis is different from Crohn's disease. However,in more the 50% of patients with mildsymptoms of proctosigmoiditis, some patients show proximal extension, and for some patients,opposition occurs with mild symptoms. Moreover, it is essential to identify the patients with some symptoms of ulcerative colitis to clinical risk factors that will help identify which patients are in the critical or higher stage of the disease proximal extension.The ulcerative colitis usually devolves between 20 to 30 years.
A Review on Thiazole derivatives and their impact as hypoglycemic agents in drug developments
Authors: Gupta Dheeraj Rajesh , Kumar Pankaj , Kumar Abhishek , A Kumbar Sachin , Murugeshwari Vidya , R Dixit Seshagiri
Published: February 2024

The impact of thiazole derivatives as a hypoglycemic agent has been noted for many decades. Thiazole is heterocyclic containing sulphur and nitrogen as heteroatom whereas the free pi (π) electrons can move from one bond to another freely to have aromatic properties. Due to these aromatic properties, various reactions are possible with these rings due to the various donor-acceptor position. Thiazole can regulate various physiochemical processes within the body. Due to this, it has been reported for various biological activities such as antimicrobial, antitumor, antidiabetic, antioxidant, anti-inflammatory etc. However, there are various drugs containing thiazole are rosiglitazone, pioglitazone, and troglitazone have shown their effectiveness in controlling elevated blood sugar. In this regard, the present review explains the different thiazole derivatives synthesized and their impact as hypoglycemic agents.
A Review on Oleogels and its Role in Pharmaceutical Field
Authors: Prusty Amaresh , Sudha Chaithanya
Published: February 2024

Gel-based products called oleogels due to their required rheological, physical, and chemical stabilities in semisolid formulations not only have wide applications in the cosmetic industry, and nutraceutical industries but also they are used largely in various pharmaceutical field for formulating various topical drug delivery system and also as oil-based gels as versatile drug delivery systems for paediatric purpose. Oleogels are semisolid non-crystalline, thermo-reversible viscoelastic systems which consist of a lipophilic liquid phase (mineral or vegetable oils, isopropyl myristate) gelled with a suitable gelling agent referred as organogelators which can improve drug penetration through the stratum corneum because of their lipophilic nature. The polar phase gets trapped inside the three-dimensional networked structure present in the oleogels system, which is formed due to physical interactions among the self-assembled structures of organogelators. As these systems are resistant to the effects of moisture and do not require the addition of stabilizers or preservatives and hence they are preferred in drug delivery systems over conventional gels. The present article focuses on components, formulation aspects, and recent role of oleogels products showing its pharmaceutical applications.
Pablo Picasso: In Search of Language
Authors: Mallen Enrique
Published: February 2024

The article explores Picasso’s multiple influences early in his career as he searched for a language that best expressed his vision of reality. Already the first critics, such as Félicien Fagus for his first exhibition at Galerie Vollard, mentioned the impact on the young Spaniard of a wide range of modern painters in addition to the great classical masters. Many of the identifiable periods in his extensive career can be associated with one or more influential artists: Casas, Rusiñol, Steinlen, Munch during the Modernist years in Barcelona; Toulouse-Lautrec, Renoir, Degas, Van Gogh and others in the first years in Paris; El Greco, Nonell, Puvis, among others during the Blue Period; Matisse, Redon, and others, in the Rose Period; Gauguin later on, etc., etc. These are just a few of the many artists whose styles Picasso explored in numerous ways. Their influence often occurred in complex combinations and would not fully disappear from his works once their incidence had left their imprint. Thus one can find the presence of El Greco or Van Gogh as late as the last years of Picasso’s life. Here we will focus on their influence in the period that preceded Cubism, Picasso’s first truly original language.
Invertor compensation in Germany
Authors:   Institute of Legal Myungji Uiversity, Park Young-Gyu
Published: February 2024

In Germany, company employees who make invention during the term of their employment, so-called “service inventions”, are subject to the German Act on Employee Inventions, which regulates the rights and obligations of both employees and employers. There are statutory guidelines as to the amount of compensation the inventor should be paid. The compensation due to the inventor is based on the standard formula V = E x A, where V is the annual compensation, E is the so-called “invention value”, and A is the so-called employer’s “share factor” in the invention. First of all the invention value E is calculated. Generally this is assessed using the licence analogy. Secondly, the so-called share factor A is decided on a points’ basis. Points are awarded according to the circumstances surrounging the task which led to the invention, how the problem was solved, and the employee’s tasks and position in the company.
Tutt la tosse in una figura
Authors: Longo Giorgio
Published: February 2024

Cough is the most common cause of unscheduled paediatric visits. The figure in the article shows the main causes of paediatric coughs differentiated by duration, quality (dry or wet) and night-time coughing. With these few simple key anamnestic elements (and espe- cially if confirmed and reinforced by being able to see, even in a simple video, the child coughing) a diagnosis may be made with reasonable certainty, saving specialist visits and diagnostic tests that are unlikely useful and potentially harmful.
Avaliação psicológica da criança em tempos de neurocultura e neoliberalismo
Authors: Giacomini Fabíola , Santos Filho Francisco Carlos dos , Cenci Ângelo Vitorio
Published: February 2024

Propõe-se uma reflexão crítica inicial sobre as modificações no modo de avaliar crianças pela Psicologia na atualidade, na qual parece estar caindo em desuso o modelo de avaliação próprio da psicologia  - o psicodiagnóstico – e, em lugar dele, estar assumindo ou o substituindo, a avaliação neuropsicológica. Esta última, é solicitada frequentemente por neurologistas, para onde, atualmente, crianças com alguma desordem ou desadaptação escolar têm sido encaminhadas pelas escolas, e retornam diagnosticadas com transtorno do neurodesenvolvimento. A partir de uma postura hermenêutica-compreensiva, fundamentada na Psicanálise, Psicologia, Filosofia e Sociologia, objetiva-se enlaçar o tema às categorias de sujeito neoliberal, sujeito cerebral e neurocultura, problematizando a influência do DSM-V. Discute-se o sentido do acréscimo do prefixo psico à sexualidade, feito por Freud em 1905, desamarrando a sexualidade da suposta determinação biológica e, atualmente, o registro de uma espécie de retorno ao neurocentrismo. Ao final, propõe-se alternativas a partir do psicodiagnóstico interventivo e subjetivante.
Interação Universidade-Escola
Authors: Antiqueira Liliane Silva , Corrêa Pereira Elaine , Do Carmo Galiazzi Maria , Costa Machado Celiane
Published: February 2024

Este trabalho tem por objetivo compreender como se constituiu a interação Universidade–Escola, a partir dos registros nos portfólios do subprojeto da Licenciatura em Matemática no Programa Institucional de Bolsas de Iniciação à Docência (PIBID) em uma Instituição de Ensino Superior, no período de 2009 a 2018. Foram produzidos 15 portfólios coletivos, dos quais nove foram analisados, um de cada escola participante. Trata-se de uma pesquisa qualitativa de cunho fenomenológico-hermenêutico. Para a análise dos registros, utilizou-se a metodologia Análise Textual Discursiva. Apresenta-se a análise de uma das categorias dos registros no portfólio coletivo – Interação Universidade-Escola –, em que se evidenciou a parceria colaborativa. Conclui-se que houve interação entre universidade e escola com aprendizagens colaborativas, não deixando de exigir, entretanto, uma política de enfrentamento dos problemas endêmicos da formação, com reflexos na educação pública.
Ocorrência de Cryptosporidium parvum e Isospora belli na região de Campinas, SP
Authors: Regina Baraldi Silvia , Gonçalves Lemes Marques Eneida , Maria Donini Souza Dias Rosa
Published: February 2024

No período compreendido entre março de 1990 e dezembro de 1994 foi realizada pesquisa de coccídios em amostras de fezes de 172 pacientes, com e sem diarréia, na Seção de Biologia Médica do Instituto Adolfo Lutz - Campinas, encaminhados pelos Serviços de Saúde do Município de Campinas e Região. Os pacientes foram divididos em dois grupos: indivíduos HIV positivos e suspeitos. Oocistos de Cryptosporidium parvum foram encontrados em 32 - 18,60% e de Isospora belli em 27 -15,70% dos pacientes. Coinfecção pelos dois coccídios foi observada em 04 - 2,33% da população estudada. A ocorrência de ambos os coecídios entre os pacientes estudados foi de 31,98%.
11. ve 12. Yüzyıl Dinî Anıtlarının Mimarî Özellikleri
Authors: Keskin Muhammed
Published: February 2024

Bu çalışmada, Azerbaycan ve Anadolu'daki cami yapımına özel olarak odaklanarak İslam mimarîsinin tarihsel gelişimi ve özellikleri incelenmiştir. Makale, tarihi kaynakların incelenmesi, mimarî anıtların incelenmesi ve tasarım öğeleri ile dekoratif motiflerin çözümlenmesi yoluyla dinî mimarî özelliklerin zaman içindeki değişim ve gelişimine ışık tutmaktadır.
Çalışma, İslam medeniyetinin ilk dönemlerinde İslam mimarîsinin, özellikle de cami inşaatının önemli rolünü vurgulamaktadır. İnsanların yaşam tarzı ve geleneklerinden etkilenen dekoratif unsurların yaratıcı kullanımı vurgulanarak İslami mimarî yapılarda gömülü olan derin sembolizmi açığa çıkarmaktadır. Dolayısıyla bu makale, mimarî ve süsleme sanatları arasındaki etkileşimi ve Azerbaycan ve Anadolu'daki camilerin kültürel ve tarihi önemini ortaya koyarak İslam mimarîsinin ilerlemesinin anlaşılmasına katkıda bulunmaktadır.
Rezension von: Hain, Hans, Aus der Vergangenheit des Dorfes Olnhausen
Authors: Wunder Gerd , Hain Hans
Published: February 2024

Hans Hain: Aus der Vergangenheit des Dorfes Olnhausen. Mitßeitr. von H. von Olnhausen und R. Arzt. Veröffentl. durch die Gemeinde Jagsthausen-Olnhausen anläßlich der 1200- Jahr-Feier Mai 1981. 156 S.
Rezension von: Quellen und Studien zur Geschichte des Deutschen Ordens Bd. 9, 13, 26
Authors: Wunder Gerd
Published: February 2024

Quellen und Studien zur Geschichte des Deutschen Ordens. Hrsg. von Prof. Dr. Udo Arnold unter der Patronanz des Deutschen Ordens. Marburg: Eiwert.Bd. 9: Rüdiger Schmidt: Die Deutschordenskommenden Trier und Beckingen 1242-1794. (1979). 559 S.Bd. 13: Gerard Müller: Die Familiären des Deutschen Ordens. 1980. 396 S.Bd. 26: Hans Jürgen Dorn: Die Deutschordensballei Westfalen von der Reformation bis zu ihrer Auflösung im Jahre 1809. 1978. 243 S.
Rezension von: Arnold, Udo (Hrsg.), Von Akkon bis Wien
Authors: Ulshöfer Kuno , Arnold Udo
Published: February 2024

Von Akkon bis Wien: Studien zur Deutschordensgeschichte vom 13. bis zum 20. Jahrhundert. Festschrift zum 90. Geburtstag von Althochmeister P. Dr. Marian Turnier O.T. (= Quellen und Studien zur Geschichte des Deutschen Ordens 20). Marburg: Eiwert 1978. 390 S.
Rezension von: Moosmann, Elisabeth (Hrsg.), Heimat
Authors: Eichberg Henning , Moosmann Elisabeth
Published: February 2024

Elisabeth Moosmann (Hrsg.): Heimat - Sehnsucht nach Identität. Berlin: Ästhetik und Kommunikation 1980. 238 S., Abb.
Enhancing Supply Chain Traceability through Blockchain and IoT Integration: A Comprehensive Review
Authors: Wong Elton Kee Sheng , Ting Huong Yong , Atanda Abdulwahab Funsho
Published: February 2024

Supply chain traceability is essential for ensuring safety, preventing counterfeit goods, and improving efficiency. The integration of blockchain technology and the Internet of Things (IoT) has emerged as a transformative approach to enhance supply chain traceability by creating a secure, transparent, and efficient way to track the movement of goods and materials. This comprehensive literature review examines how the integration of blockchain and the Internet of Things can enhance supply chain traceability, utilizing a systematic literature search to identify and analyze all relevant studies. Recent and related articles selected from the Scopus database were reviewed. Our analysis underscores the potential for blockchain and IoT integration to provide end-to-end visibility, secure data sharing, and real-time monitoring across the supply chain ecosystem. It also identifies Machine Learning (ML) as another key component that enhances the security challenges of the Internet of Things while simultaneously serving as an analytical tool in Supply Chain Management (SCM). The review concludes that the integration of blockchain, the Internet of Things, and ML has the potential to transform supply chain traceability. By providing a secure, transparent, and efficient way to track the movement of goods and materials, businesses can improve their operations and offer better products and services to their customers. However, these findings do not impact the results of this research work. Additional research and a more extensive examination of the literature could offer a more comprehensive insight into the subject matter.
An Overview of the Development of Stereotactic Body Radiation Therapy
Authors: Zong Yanqi , Cui Zhengrong , Lin Luqi , Wang Sihao , Chen Yizhi
Published: February 2024

Stereotactic body radiation therapy (SBRT) refers to focusing high-energy rays in three-dimensional space on the tumor lesion area, reducing the dose received by surrounding normal tissues, which can effectively improve the local control rate of the tumor and reduce the probability of complications.With the comprehensive development of medical imaging, radiation biology and other disciplines, this less-fractional, high-dose radiotherapy method has been increasingly developed and applied in clinical practice. The background, radio-biological basis, key technologies and main equipment of SBRT are discussed, and its future development direction is prospected.
Design of Pseudo-random Sequence Generator based on Three-dimensional Discrete Chaotic System
Authors: Wang Lijie , Liang Xiyin , Liang Qi
Published: February 2024

In this paper, a pseudo-random sequence generator with better randomness is constructed through the targeted improvement of chaotic system. Firstly, a new three-dimensional discrete chaotic system is proposed on the basis of the existing one-dimensional logistic chaotic system by improving and optimizing the dimensionality and coupling mode, and its Lyapunov exponent and other characteristics are analyzed; then, based on the chaotic system, a pseudo-random sequence generator is designed by using post-processing and heterodyne, etc.; after that, the performance of the pseudo-random sequence is discussed by using the evaluation methods of relevance, homogeneity, and NIST test. After that, the performance of the pseudo-random sequence is discussed using correlation, uniformity, NIST test and other evaluation methods. The results show that the three-dimensional discrete chaotic system has good chaotic properties, and the pseudo-random sequence generator based on this three-dimensional discrete chaotic system has good random performance and can pass the NIST test. The work in this paper provides an idea for the improvement of logistic mapping chaotic system and enriches the application form of pseudorandom sequence generator in information security.
Computation Offloading and Resource Allocation in Mobile Edge Computing-enabled IoT Network
Authors: Yang Hao , Zhang Huifu , Gong Ziyi
Published: February 2024

Mobile edge computation (MEC)-enabled Internet of Things (IoT) network have gained significant attention from academia and industry due to its ability to provide ultra-low latency computation services for several IoT applications such as VR/AR, smart city and online gaming, etc. This article explores the challenge problem of jointly addressing computation offloading and resource allocation (CORA) in a time-varying MEC-enabled IoT network. Firstly, we propose a multiuser and multiserver MEC-enabled IoT architecture based on centralized management for the decision-making process of CORA. Secondly, we formulate a task execution delay minimization problem considering energy consumption and resource constraints. It is challenging to solve this problem using traditional methods due to the coupling between the variables, as well as the dynamic nature of the network. To this end, we convert the original problem into a Markov Decision Process (MDP). Then, an entropy-based deep reinforcement learning algorithm (EDRL) with strong exploration capabilities and stability is used to learn the dynamic CORA strategy. Finally, extensive simulation experiments have indicated that our proposed EDRL method exhibits superior learning ability and stability compared to the DDPG. Except for the exhaustive method, EDRL outperforms other baselines with respect to execution delay and energy consumption.
ES Data Aggregation Scheme based on Personalized Local Differential Privacy
Authors: Liu Qiong , Liu Xueyan , Wang Jia , Sun Hao
Published: February 2024

In modern society, with the rapid development of technology, research on Epidemiological Survey Data (ESD) has become increasingly crucial. As various diseases continue to evolve and spread, there is a growing need for a profound understanding of the patterns and trends of disease transmission. Epidemiological investigation, as a key method, provides fundamental data support for devising effective prevention and control strategies by tracking cases, contacts, and potential infectees. However, accompanying this progress is the issue of dealing with a large amount of privacy-sensitive data. Once these data are compromised, it may pose severe harm to individuals and society. To address this challenge, we propose a uOUE-based epidemiological survey data aggregation scheme for the collection and processing of ESD, aiming to enhance the efficiency and accuracy of data coding. We ensure the secure, efficient, and accurate aggregation processing of ESD. Through rigorous validation and comparative analysis, our algorithm complies with the requirements of local differential privacy and unbiased estimation. It demonstrates good practicality and accuracy in ESD collection, providing users with a reliable privacy protection effect.
Machine Learning Through Physics–Informed Neural Networks: Progress and Challenges
Authors: Antonion Klapa , Wang Xiao , Raissi Maziar , Joshie Laurn
Published: February 2024

Physics-Informed Neural Networks (PINNs) represent a groundbreaking approach wherein neural networks (NNs) integrate model equations, such as Partial Differential Equations (PDEs), within their architecture. This innovation has become instrumental in solving diverse problem sets including PDEs, fractional equations, integral-differential equations, and stochastic PDEs. It's a versatile multi-task learning framework that tasks NNs with fitting observed data while simultaneously minimizing PDE residuals. This paper delves into the landscape of PINNs, aiming to delineate their inherent strengths and weaknesses. Beyond exploring the fundamental characteristics of these networks, this review endeavors to encompass a wider spectrum of collocation-based physics-informed neural networks, extending beyond the core PINN model. Variants like physics-constrained neural networks (PCNN), variational hp-VPINN, and conservative PINN (CPINN) constitute pivotal aspects of this exploration. The study accentuates a predominant focus in research on tailoring PINNs through diverse strategies: adapting activation functions, refining gradient optimization techniques, innovating neural network structures, and enhancing loss function architectures. Despite the extensive applicability demonstrated by PINNs, surpassing classical numerical methods like Finite Element Method (FEM) in certain contexts, the review highlights ongoing opportunities for advancement. Notably, there are persisting theoretical challenges that demand resolution, ensuring the continued evolution and refinement of this revolutionary approach.
Learning for Cellular Neural Networks Using the GARPLA Algorithm
Authors: Anh Duong Duc , Tuan Pham Duy , Hoan Nguyen Quang , Vu Nguyen Hong , Quang Doan Hong , Quyen Lai Thi Van
Published: February 2024

The main content of this article is to build a hybrid algorithm between genetic algorithm and Recurrent Perceptron Learning Algorithm to determine the weight set for standard cellular neural networks. In particular, the Recurrent Perceptron Learning Algorithm was announced by Gukzelis in 1998 to determine the weight set for CeNNs, however, the nature of the algorithm built according to LMS learning rules means there is still a possibility of local convergence problems of algorithm. Meanwhile, the genetic algorithm originates from natural selection problems and is capable of determining the local optimal domain of the problem. Therefore, the GARPLA hybrid algorithm will fully determine the optimal weight set for the CeNNs network, reducing potential local optimization problems encountered in the RPLA algorithm.
A Methodological Research on Evaluating Competitive Capability and Growth Rate of Basketball Players
Authors: Zhang Jingyi , Wu Sirui , Zhou Mingxian , Liang Xinghao , Wang Keqi , Wu Qiulin , He Chenhan
Published: February 2024

This paper aims to conduct a quantitative analysis of the factors influencing the growth rate of basketball players. To achieve this goal, the paper adopts a method of entropy weight combined with ideal solution approximation comprehensive evaluation method, to analyze the growth rate of the athletes. Furthermore, to explore the relationship between various factors and the players’ growth rate, a backpropagation (BP) neural network is utilized to fit the impact level of each independent variable and the dependent variable. Therefore, the method proposed in this paper can provide a more accurate, practical, and flexible evaluation method for ranking basketball players, thus supporting training, and offering reference for other similar sports competitions.
Translator Habitus of Legge under Social Praxeology
Authors: Zhang Fuling
Published: February 2024

Drawing on Bourdieu’s theory of social practice as the analytical framework, this study focuses on the translator habitus exhibited by Legge, a renowned British sinologist and missionary. Taking his English translation of Confucian Analects as a case study, it investigates the habitual characteristics formed through Legge’s education, work, and social experiences. This paper aims to delve into how these translation tendencies influence his work and to uncover the fundamental drivers behind his successful translation of Chinese classics. It seeks to offer novel research perspectives and references for the English translation of Chinese scholarly works.
Application Analysis of AI Technology Combined with Spiral CT Scanning in Early Lung Cancer Screening
Authors: Li Shulin , Yu Liqiang , Liu Bo , Lin Qunwei , Huang Jiaxin
Published: February 2024

At present, the incidence and fatality rate of lung cancer in China rank first among all malignant tumors. Despite the continuous development and improvement of China's medical level, the overall 5-year survival rate of lung cancer patients is still lower than 20% and is staged. A number of studies have confirmed that early diagnosis and treatment of early stage lung cancer is of great significance to improve the prognosis of patients. In recent years, artificial intelligence technology has gradually begun to be applied in oncology. ai is used in cancer screening, clinical diagnosis, radiation therapy (image acquisition, at-risk organ segmentation, image calibration and delivery) and other aspects of rapid development. However, whether medical ai can be socialized depends on the public's attitude and acceptance to a certain extent. However, at present, there are few studies on the diagnosis of early lung cancer by AI technology combined with SCT scanning. In view of this, this study applied the combined method in early lung cancer screening, aiming to find a safe and efficient screening mode and provide a reference for clinical diagnosis and treatment.
Research on Gymnastics Teaching and Training Simulation System under Computer Internet of Things Technology
Authors: Li Qinsheng , Shi Qingfeng
Published: February 2024

With the rapid development of information technology, the application of computer and Internet of Things (IoT) technology is becoming increasingly widespread in various fields. This study aims to explore the application of computer IoT technology in gymnastics teaching and training, as well as to develop an efficient gymnastics teaching and training simulation system. By utilizing IoT technology to collect and analyze athletes' movement data, this system can provide more accurate and personalized training suggestions, thereby improving the effectiveness of teaching and training. The study shows that this system can not only effectively enhance athletes' training efficiency and skill level but also reduce the risk of injury, making it significantly relevant and valuable for gymnastics teaching and training. Additionally, this research offers a new perspective and possibility for the application of computer IoT technology in other sports projects.
Design Scheme of High Concurrent and High Usable Cache based on TB Level Data Capacity
Authors: He Chuan
Published: February 2024

With the continuous development of the Internet in recent years, the Internet business has also changed greatly. In the past, when accessing the database, it usually takes the way of direct access, in order to resist the reading and writing traffic, often use a master and data fragmentation methods. However, the current traffic is more and more, and the amount of data is also accumulating. The data capacity of many e-commerce websites is getting bigger and bigger, even exceeding the TB level. If we still use the previous way, all the traffic using the database to bear, its stability will be greatly reduced, and it will also bring higher cost and lower efficiency, is extremely undesirable. Therefore, there is an urgent need to find technologies and architectures related to high concurrency and high availability. For the above reasons, this topic first understands and analyzes the previous application platform cache and Redis database cluster cache, and then builds a multi-level cache strategy based on Njinx local cache, which will be described from requirements analysis and architecture design.
Based on Hierarchical Reinforcement Learning for Large-scale Pedestrian Trajectory Prediction
Authors: Gao Guokang , Li Yue
Published: February 2024

This paper describes the construction of an airport terminal simulation model using AnyLogic simulation software. It considers the advantages of hierarchical reinforcement learning and divides the complete process of pedestrian trajectories at the airport into layers. Pedestrians are treated as intelligent agents for hierarchical reinforcement learning. A large-scale pedestrian trajectory planning algorithm based on hierarchical reinforcement learning is designed to match the hotspots in the airport region simulated by pedestrian trajectories with congested areas in the terminal scene. A comparison is made with traditional multi-agent Q-learning algorithms and single-table hierarchical reinforcement learning. The results show that our algorithm can accurately identify the pedestrian flow hotspots in the actual terminal, with improved matching accuracy compared to traditional multi-agent Q-learning algorithms and single-table hierarchical reinforcement learning. The algorithm also exhibits faster convergence speed.
Extreme Learning Machine Classification Method based on Twin Strategy Salp Swarm Algorithm
Authors: Shang Meiling , Qu Rongguo , Ji Deqing , Yu Zhenxing , Fan Qinwei
Published: February 2024

Extreme Learning Machines (ELM) are a type of Single Hidden Layer Feedforward Neural Network (SLFN). In recent years, they have attracted attention for their powerful approximation ability and fast learning speed. Compared with traditional neural network algorithms, ELM have the advantages of simple structure, fast learning speed, and good generalization performance. However, since the input weights and biases of ELM are randomly generated, there may be some suboptimal or unnecessary input weights and biases. In addition, ELM may require more hidden nodes, which may slow down its response to unknown test data. To address these issues, a twin strategy Salp Swarm Algorithm (TSSA) is proposed to increase the population diversity to improve the convergence speed of the algorithm through chaotic initialization, while shock inertia weights and learning paradigms are introduced into the follower position updating to enhance the stochasticity of the particles. Classification tests are conducted on six datasets using the proposed TSSA, and the experimental results show that the proposed TSSA-ELM has higher accuracy and better generalization performance than some existing ELM variants.