bluuebunny/crossref_metadata_2025 huggingface dataset:
Current Status and Development Trends of Morphing Wing of Aircraft
Authors: Yan Farui , Han Lu , Yang Yongqi , Xie Xuedong , Xie Baocheng
Published: May 2024

Aircraft morphing wings, also known as adaptive wings or shape-variable wings, represent
a revolutionary development in the field of aerospace engineering. Inspired by the adaptability
observed in birds and insects during flight, researchers have been exploring potential applications of
morphing wing technology to enhance the performance and efficiency of aircraft. This innovative
technology holds the promise of improving aerodynamic efficiency, reducing fuel consumption, and
enhancing overall flight maneuverability. This manuscript aims to explore and analyze the potential
applications and effects of morphing wing technology for aircraft. Furthermore, this paper aims to
gain an in-depth understanding of the principles and implications of morphing wing technology for
aircraft and to assess its potential advantages in terms of flight performance, handling characteristics,
and energy efficiency. Based on different driving mechanisms, patents related to aircraft morphing
wings were systematically categorized and summarized, highlighting the most typical intra-wing and
extra-wing deformations. Through an examination of patents related to aircraft morphing wings,
various morphing wing technologies' unique characteristics were summarized. A comparative analysis
of different deformation methods revealed their respective strengths and limitations. The paper
concludes with a summary of current technical challenges facing morphing wing technology and a
forward-looking exploration of its future trends and directions. Categorizing aircraft morphing wings
into intra-wing and extra-wing deformations based on the method of deformation, this paper elaborates
on the operational principles, advantages, and limitations of these two categories. Compared to
traditional fixed wings, morphing wings exhibit superior flight performance, and it is anticipated that
more patents will be developed in the future.
Full-Mouth Rehabilitation Using Combined Multiunit Abutment and Screw-Retained T-Base Abutment System: A Case Report with 24-Month Follow-up
Authors: Albadani Mohammed Mansoor , Alahmari Manea Musa M. , Alahmari Maram A. , Al Makramani Bandar M.A. , Aldhorae Khalid , Al Moaleem Mohammed M.
Published: May 2024

Introduction

The application of a multiunit abutment system in combination with a screw-retained T-base abutment for the all-in-six restoration of dental arches is considered a successful treatment for the maxillary and mandibular arches with implant-supported fixed prostheses.

Case Report

This case report presents the successful use of a multiunit abutment system combined with a screw-retained T-base abutment to support all-in-six implant-supported fixed prostheses in maxillary arches. Meticulous treatment planning and execution resulted in predictable and favourable outcomes after implant-supported fixed prostheses were applied to a patient exhibiting a partially maxillary arch with mobile grade III bilateral canines.

Conclusion

The treatment protocol, prosthetic components, and clinical and radiographic outcomes after the final restoration were excellent after 24 months.
A Study on the Correlation between the Expression of a Cysteine Protease, Cathepsin L, and its Inhibitor, Cystatin A, in Oral Lichen Planus
Authors: Talungchit Sineepat , Pongpanich Nantreda , Jirawechwongsakul Pimporn , Hirunwidchayarat Worawalun , Taebunpakul Patrayu
Published: May 2024

Background

Cathepsin L (Cat-L), a cysteine protease, and cystatin A (Cys-A), a cysteine protease inhibitor, are known to be involved in Oral Lichen Planus (OLP). The imbalance in expression between these two proteins may favor OLP pathogenesis.

Objective

This study aimed to evaluate the correlation between the expression of Cat-L and Cys-A in OLP.

Methods

Thirty specimens of OLP and 30 specimens of normal tissue were used for immunohistochemistry. The pattern of cell staining, number of positive cells, and cell staining intensity were recorded. An Immunoreactive Score (IRS) was also assigned.

Results

Cat-L and Cys-A were found in all OLP specimens. In the control group, Cat-L and Cys-A were demonstrated in 83.33% and 96.67% of cases, respectively. Cat-L was primarily seen in the stratum basale in the OLP and control groups. In contrast, Cys-A expression was seen in the whole epithelium in both groups, and the intensity was lowest in the stratum basale. The percentage of positive cells, score of positive cells, staining intensity, and IRS of Cat-L and Cys-A were significantly higher in OLP than in control specimens (p < 0.05). Interestingly, a positive correlation between Cat-L and Cys-A was found in the control group but not in the OLP group.

Conclusion

The expressions of Cat-L and Cys-A were significantly higher in OLP tissues compared to normal tissues. The alterations in expression of the Cat-L cysteine protease and its Cys-A inhibitor in OLP may indicate that these two proteins play a role in the pathogenesis of OLP.
Mineral Composition of Blackcurrant (Ribes Nigrum L.) Fruits and Leaves
Authors: Struk Oksana , Starchenko Galyna , Koshovyi Oleh , Stremoukhov Oleksandr , Klymenko Yurii , Raal Ain
Published: May 2024

Background

Plants as living systems are characterized by the appropriate degree of accumulation of macro- and microelements, which, acting as factors of the external environment, are basic modulators for synthesizing biologically active substances. Blackcurrant (Ribes nigrum L., Grossulariaceae) is widespread worldwide. Berries, leaves, and buds are medicinal raw materials in folk medicine. The regularity of inorganic elements accumulation in this plant and their impact on the quality of raw materials are topical and need to be studied.

Aims

This work aimed to study the mineral composition of R. nigrum raw materials collected in Western Ukraine (Ivano-Frankivsk and Ternopil regions) and find the regularity of their accumulation in the plant parts and from the soils.

Methods

The elemental compositions of R. nigrum fruits and leaves, as well as the soils of the growth places, were studied using the method of atomic emission spectrometry with inductively coupled plasma iCAP 7000 Duo.

Results

The content of 19 inorganic elements in R. nigrum raw materials was established. Their quantities don’t differ significantly depending on the growth places. All the fruits had high K, Na, Mg, P, and Ca contents, which were slightly lower in leaves. Thus, the fruits contain 590-675 mg/kg of Mg, while in leaves, there are just 98-106 mg/kg. Most of Fe was accumulated in the fruits (73-85 mg/kg). The content of Mn was observed in the leaves (57-64 mg/kg), slightly higher than in the fruits (47-51 mg/kg). The content of heavy metals in the objects was within the permitted limits of European Pharmacopeia. The results testify to the inverse relationship between the content of most elements in the soils and the coefficient of their accumulation in the plant.

Conclusion

The content of macro- and microelements in R. nigrum fruits and leaves had similar profiles but differed in their quantitates. The regularity of element accumulation in R. nigrum raw materials corresponds to the following profile in accordance with their quantitative content in the raw materials: K> Na> P> Mg> Ca> Si> Fe> Mn> Al> Se> Zn> Cu> Co> I> Pb> Ni> Mo> Sr> Cd. The regularity of their accumulation in the plant parts from the soils was established.
Emergency thoracostomy as a safe and effective intervention in prehospital trauma
Authors: Hetzman László , Sóti Ákos , Temesvári Péter , Erőss Attila , Petróczy András , Csékó András , Sütöri Dávid
Published: May 2024

Traumatic tension pneumothorax is one of the most frequent causes of early mortality among the severely injured. Different methods are recommended for chest decompression. The aim of this study is to examine whether emergency thoracostomy can improve the real 30-day survival compared to the expected Revised Trauma Score (RTS) based survival, the Return of Spontaneous Circulation (ROSC) rate in Traumatic Cardiac Arrest (TCA), reduce the occurrence of tension pneumothorax (tPTX) and to determine the complication rate of the intervention.
In Silico Study of Bioactive Compounds from Yellow Bioherbal as Potential LpxC Protein Inhibitors for Controlling Pathogenic Bacteria in Broiler Chicken Intestinal
Authors: Yusuf Zaen , Natsir Muhammad Halim , Sjofjan Osfar
Published: May 2024

Bioherbal, a feed additive made from rhizome extract, exhibited promising capabilities in eradicating pathogenic bacteria residing within the digestive tracts of broiler chickens. The LpxC protein, a biosynthetic regulator of lipid A (a critical component of gram-negative bacterial cell walls), was the focus of this research. Our primary objective was to assess the bioactive potential of bioherbal as a prospective inhibitor of UDP-3-O-(R-3-hydroxymyristoyl)-N-acetylglucosamine (LpxC) by employing in silico methods. Computational analyses were employed to scrutinize the interactions between the LpxC protein and various ligands on Bioherbal. Molecular docking served as the initial screening process, evaluating 48 bioactive compounds based on energy affinity, conformation values, and interactions with protein residues. The three compounds exhibiting the lowest binding affinities were subjected to molecular dynamics simulations. Molecular docking analysis revealed that most of the screened compounds exhibited low binding affinity for LpxC. Elephantorrhizol, zedoraldehyde, glechomanolide, demethoxycurcumin, curcumin, hexahydrocurcumin, gweicurculactone, germacrone, and 1,2-dihydrocurcumin exhibited lower binding affinities (<-7 kcal/mol). Elephantorrhizol, curcumin, and hexahydrocurcumin were selected for further analysis via molecular dynamics due to their similarity to native ligands. Molecular dynamics simulations revealed stable interactions of LpxC. In summary, these findings suggested that Bioherbal possesses the potential to function as an LpxC inhibitor, thereby offering a promising avenue for preventing the proliferation of gram-negative bacteria within the digestive tracts of broiler chickens. This computational study paves the way for further experimental investigations in this domain.
Conception Rate of Filial Friesian Holstein Cows After Being Inseminated Using Unsexed and Sexed Semen
Authors: Firdaus Amir , Utami Putri , Ramadhani Anisa , Syah Habib Asshidiq , ShikhMaidin Mashitah , Yekti Aulia Puspita Anugra , Isnaini Nurul , Susilawati Trinil
Published: May 2024

This research aimed to increase the reproduction of dairy cows with artificial insemination (AI) in Filial Friesian Holstein cows using sexed semen. This research was conducted in Pandesari Village, Pujon District, Malang Regency, East Java. The 114 Filial Friesian Holstein cows were used in this research and divided into three Treatments: T1: 38 cows were inseminated using unsexed semen, T2: 38 cows were inseminated using albumin sedimentation sexed semen, and T3: 38 cows were inseminated using Percoll density gradient centrifugation (PDGC) sexed semen. The material was selected by purposive sampling with a minimum body condition score (BCS) specification of 2.5 (scale 1-5); the material had normal reproductive organs and showed signs of heat/estrus. The parameters of this study are the percentage of non-return rate (NRR) 1, NRR 2, and conception rate (CR). The data obtained were analyzed using descriptive analysis. The differences in NRR and CR between the unsexed sperm, sexed sperm with albumin sedimentation, and sexed sperm with PDGC were analyzed with the chi-square test and were considered significant at p < 0.05. The chi-square test was carried out to compare the observed values with the expected values. The results showed that the success of artificial insemination was greater by using albumin-sedimented sexed semen compared to unsexed semen or PDGC-sexed semen, with NRR values of 1 (95%), NRR values of 2 (87%) and CR values of 63%. The conception rate of artificial insemination using albumin-sedimented sexed semen was 63% greater than that of artificial insemination using unsexed semen and PDGC-sexed semen, which obtained the same value of 47%.
Production Elasticity of Layer Farming During the COVID-19 Pandemic in Blitar District
Authors: Santoso Gunawan Adi , Hartono Budi , Suwandi Umi Wisaptiningsih
Published: May 2024

The livestock sub-sector, an integral part of the agricultural sector, is the animal protein producing sub-sector which plays an important role in meeting people's nutritional needs. The development of the laying hen farming business has enormous potential, this is because purebred chicken eggs contribute quite a lot to animal protein self-sufficiency. The research aims to analyze the input factors of the production that affect the production of layer farming businesses and to assess the production elasticity of these businesses during the COVID-19 pandemic in Blitar District. Data collection took place between July and August 2020 in the Blitar Distrcit. Utilizing a sample random sampling method. The study involved 64 farmers as representative. The research variables used in this study were the population of laying hens, the price of chicken eggs, feed costs, vaccines and medicines expenses, seed prices, mortality, electricity costs, the price of culled chickens, Hen Day Production (HDP) and the number of workers. Quantitative analysis was employed to analyze production costs, revenues, and income, while qualitative analysis was used to analyze production elasticity through Cobb-Douglas regression analysis. The research data were processed using SPSS version 24. The results of the study indicate that 1) the population of laying hens and HDP significantly affected the production of layer farming businesses, along with the cost of vaccines and medications in the Blitar District. 2) The population of layers, mortality rates, electricity costs, HDP, and total labor demonstrated elasticity with respect to the production of layer farms. Conversely, egg prices, feed costs, vaccination and medication expenses, day-old chick (DOC) costs, and final chicken prices exhibited inelasticity concerning the production of layer farms in Blitar district.
PENGOLAHAN SUSU KAMBING DI DESA BANGELAN, KECAMATAN WONOSARI, KABUPATEN MALANG
Authors: Agustin Imma widyawati , Sugiarto Waloejo Budi , Ari Ismu rini dwi , Hariyani Septiana , Meidiana Christia , Yudono Adipandang , Sulthan Ariq Fathanah
Published: May 2024

One of the communities with advanced technology in Wonosari District, Malang Regency, is Bangelan Village. It makes use of its natural resources. The ability of Bangelan Village's livestock to create goat milk products is one of its finest commodities. In Bangelan Village, the products made from goat milk are processed, which boosts earnings. The value of goods created from their original raw materials—goat's milk—increases when they are prepared as yoghurt, kefir, or milk candies. Etawa goat milk is the type of goat milk produced. Due to marketing barriers like not having a BPOM certificate and not pasteurizing products before they are developed, the productivity of processed goat milk products has stagnated. The control of processed goat
Language disorders: diagnosis and treatment in neurological practice
Authors: Dubenko O.Ye. , Flomin Yu.V. , Zashchypas Yu.P. , Prokopiv M.M. , Trishchynska M.A. , Kavetska V.V. , Danko R.V.
Published: May 2024

Language disorders resulting from cerebral stroke or other focal brain lesions, as well as from some neurodegenerative diseases (aphasia) are common in neurological practice and have a negative impact on almost all kinds of social interaction and the quality of life of patients. The aim of this work was to study and summarize the information on aphasia in the world scientific lite-rature in order to achieve a consensus among representatives of different specialties and to optimize the diagnostic and treatment strategies in patients with language disorders. We searched for publications from 2001 to 2023 on language disorders in neurological diseases, diagnosis, and treatment of aphasia in the PubMed, Clinical Key Elsevier, Cochrane Library, and Google Scholar databases. The article highlights the historical aspects of the formation of modern ideas about language disorders and considers the main clinical forms of aphasia, their relationship with the topography of brain lesions. Diagnostic approaches in speech and language disorders include assessment of speech production, speech comprehension, naming, repetition, reading and writing, in addition to pronunciation and fluency, which is performed in clinical practice by neurologists, speech and language therapists. Based on a comprehensive assessment of language functions, language impairment can be classified as one or more of the seven main clinical forms of aphasia. The main predictors of a better recovery of language functions are a milder initial severity of aphasia, an earlier initiation of treatment and an adequate scope of therapy. The basis of treatment and rehabilitation for aphasia is speech and language therapy, which can be carried out by both specialists and the patient’s family or caregivers. The role of drug treatment and non-invasive brain stimulation in improving language functions is still very limited and requires further research. Teaching patients and their family certain rules of communication taking into account present language disorders is of great importance. Future treatment strategies for aphasia are likely to consist of a combination of a behavioral approach with pharmacotherapeutic and neuromodulatory interventions.
Analysis of the performance of PET/CT using 18F-fluorodeoxyglucose in comparison with other diagnostic methods in drug-resistant epilepsy in children
Authors: Oliynichenko О.H.
Published: May 2024

Background. Epilepsy is one of the most common neurological diseases characterized by a persistent predisposition to epileptic seizures and the neurobiological, cognitive, psychological, and social consequences. In recent decades, despite the continuous development of antiepileptic drugs, there are still many patients with epilepsy that progresses to drug-resistant epilepsy. Currently, surgical treatment is one of the most important ways to treat such epilepsy. Collaboration between multidisciplinary teams and the combination of multiple neuroimaging methods are key to determining the exact localization of the epileptogenic zone. New diagnostic methods are being developed and the number of indications for their use is growing. The purpose of the study was to analyze the scientific literature on the effectiveness of positron emission tomography combined with computed tomography (PET/CT) using 18F-fluorodeoxyglucose compared to other diagnostic methods in drug-resistant epilepsy in children. Materials and methods. A literature search using keywords was conducted in Web of Science, Scopus, PubMed, and Elsevier databases. Results. Surgical treatment of drug-resistant epilepsy in children has become a specialized area in neurosurgery. Surgical removal or disconnection of a part of the brain, in which the epileptogenic zone is suspected, allows for a complete cure or a significant reduction in seizure frequency. It has been shown that a prerequisite for postoperative success is the accurate determination of the epileptogenic zone during a multistage preoperative diagnosis. Among many studies, nuclear medicine technologies play an important role in the presurgical examination of children with drug-resistant epilepsy. In combination with other methods, nuclear medicine helps identify the epileptogenic zone, especially in case of conflicting data, negative magnetic resonance imaging — negative epilepsy, focal cortical dysplasia or extratemporal lobe epilepsy. Single-photon emission CT and PET using functional neuroimaging with nuclear medicine indicators are classical methods and are recommended by neuroimaging specialists. In addition, one of the leading modern methods is PET/CT with 18F-fluorodeoxyglucose. It provides information that might be missed when using anatomical methods such as magnetic resonance imaging, and the area of hypometabolism detected with 18F-fluorodeoxyglucose PET/CT may be larger than the area of anatomical lesion detected on magnetic resonance imaging. Conclusions. For children with drug-resistant epilepsy, PET/CT using 18F-fluorodeoxyglucose is the most optimal method of preoperative diagnosis.
Neurological symptomatology features in patients with spine and spinal cord trauma at the thoracolumbar junction level
Authors: Nekhlopochyn O.S. , Verbov V.V. , Cheshuk Ie.V. , Vorodi M.V.
Published: May 2024

Background. Traumatic injuries to the thoracolumbar junction account for over 60 % of all injuries to the thoracolumbar spine. The neurological symptomatology accompanying injuries at this level is characterized by diverse patterns of both motor and sensory dysfunction, which are determined by the topographic-anatomical features of this area. Neurological deficit may be caused by conductive, segmental, and radicular disturbances. The aim of the study is to determine the nature and frequency of neurological disorders in patients with spine and spinal cord trauma at the level of the thoracolumbar junction, depending on the likely substrate of the traumatic impact. Materials and methods. An analysis of the neurological status assessment was conducted in 101 patients who suffered spine and spinal cord trauma at the level of the thoracolumbar junction. The average age of the patients was 41 years (95% confidence interval 36–44). Most patients were male (75.25 %). The number of motor segments with signs of upper and lower motor neuron lesion, and dermatomes with sensory impairment of radicular, segmental, or conductive types were determined. Results. It was found that 83.5 % of motor segments with dysfunction had clinical signs of lower motor neuron lesion, 41.3 % of dermatomes with sensory impairment had traumatic root damage, 57.9 % of dermatomes showed impairments of a segmental type, and 28.9 % were of a conductive type. Conclusions. The data obtained indicate a significant role of segmental disturbances in forming the symptoms in patients with spine and spinal cord trauma at the level of the thoracolumbar junction.
Royal Supremacy and Its Influence on the Formation of Early British Nation-State
Authors: Ma Chen
Published: May 2024

Tudor Dynasty is in the transitional period of modern Europe. On the one hand, it is characterized by the struggle of religious power and kingship. On the other hand, it is featured by the formation and development of the early nation-state. This paper briefly discusses the "royal supremacy" of Tudor Dynasty in England and the development of the early nation-state in British and the concrete manifestation of "royal supremacy" and expounds the influence of it on the formation of British nation-state from the following five aspects: economy, political institutions, law, local administration and national consciousness. By analyzing the definition of "royal supremacy" and its influence on the formation of the British nation-state, it is helpful to grasp the development process of modern countries and the particularity of the formation of different nation-states, so as to better grasp the law of British historical development. In a word, "royal supremacy", as the result of the religious reform, greatly promotes the formation and development of the British nation-state in the early modern times in the specific historical period.
Literature Review of Research on Biharis Issue in Bangladesh
Authors: Du YingYing
Published: May 2024

During the partition of India, approximately 1.3 million Urdu-speaking Muslims, suffering communal riots, migrated to the former East Pakistan (Bangladesh). They were known as Biharis. The Pakistan ruling class prefered Biharis due to their Muhajir status. Therefore, they supported Pakistani domination consciously. Some Biharis joined the Pakistan army during the Bangladesh Liberation War. With the establishment of Bangladesh, all Biharis were considered traitors.A number of Biharis opted for Pakistan. Despite a repatriation process lasting over 20 years, many Biharis still stranded in Bangladesh. The Biharis were granted Bangladeshi citizenship in 2008. However, they continue to face challenges integrating into mainstream in terms of education, employment, travel and residence in Bangladesh.Since the 1970s, extensive research has been conducted by the international academic community on various aspects related to the origin of Biharis, repatriation efforts, identity issues and human rights. With the influence of international academics, there has been an increasing focus within Chinese academics on the plight of Biharis in Bangladesh.The Biharis issue in Bangladesh remains further study from various perspectives and angles. We can understand nation-state construction processes of Bangladesh as well as examining geopolitical dynamics within South Asia from an ethnic perspective.
Tourism Demand Forecast and Future Market Trend Research
Authors: Ke Weichen
Published: May 2024

This study aims to reveal the trends and changes in the development of the tourism market by forecasting tourism demand and future market trends, providing important references for decision-makers in the tourism industry. We adopted data analysis methods to construct a tourism demand forecasting model and analyzed the impact of different factors on tourism demand. The main findings include the trend of diversification and dynamism in tourism demand due to changes in economic, social, and environmental factors. The implications of this study for future market trends include guiding the tourism industry in formulating corresponding strategies to enhance market competitiveness. In summary, this study provides important references for the future development of the tourism market and has significant theoretical and practical implications.
The Impact of Tourism Policies on the Competitiveness of Tourist Destinations
Authors: Ke Weichen
Published: May 2024

The tourism sector, as an integral component of the global economy, not only directly propels the economic growth of numerous countries and regions but also fosters cultural exchange and environmental preservation indirectly. On a global scale, the formulation and implementation of tourism policies have become pivotal factors in enhancing the competitiveness of tourist destinations. These policies not only effectively promote infrastructure development and the refinement of tourism products and services but also exert profound influences on environmental conservation, industry guidance, and talent cultivation. Increasingly, countries and regions recognize that scientifically formulated and balanced tourism policies represent an effective means to achieve sustainable economic growth and safeguard cultural heritage. The diversification and innovative implementation of tourism policies directly or indirectly impact the attractiveness and competitiveness of a destination, thus necessitating a comprehensive consideration of multiple factors in policy-making to achieve harmony and equilibrium.
The Relationship between the Debt-to-GDP Ratio and the GDP in Developed (US, Japan), Developing Countries (of Asia and Europe) and African Sub-Saharan Countries with Emphasis on Indian Scenario: A Comparative Study
Authors: Dave Brij Behari
Published: May 2024

There is no simple relationship between debt and growth […]. There are many factors that matter for a country’s growth and debt performance. Moreover, there is no single threshold for debt ratios that can delineate the “bad” from the “good” (International Monetary Fund, 2012, p. 9).
Research Hotspots and Reflections on Student Information Awareness Literacy in the Past Decade
Authors: Tuo Simin
Published: May 2024

In the context of the digital transformation of education, the cultivation of students' information technology ability and literacy has become a key topic of attention in educational reform. Information awareness requires students to have a certain ability to obtain information and information resolution, which is a necessary key ability for students in the "Internet plus" era. In order to explore the current development status of information awareness literacy in China and grasp its future development trends, the scientific knowledge graph analysis method was adopted to sort out the research results of Chinese researchers in the field of student information awareness literacy in the past decade. Through visual analysis and literature reading, it was found that research on information awareness literacy focuses on the cultivation of core literacy and the study of cultivation strategies, and there is relatively little research on its own. The demand for student information sensitivity and resolution will become increasingly high in the future, so research on information awareness literacy should receive more attention from people.
Agenesia y displasia renal simultáneas en una hembra pitbull
Authors: Torres García Iván Augusto , García Ortuño Luis Enrique , Rivera Colín Diana , Salas Garrido Carlos Gerardo , Germán Tavares Ian Eduardo
Published: May 2024

Descripción del caso. Perro hembra de raza pitbull terrier americano, de nueve meses de edad que presentaba vómito esporádico, diarrea crónica, hiporexia y pér­dida de peso.
Hallazgos clínicos. En el examen físico general, las alteraciones más significativas fueron una condición corporal 2 de 5, deshidratación del 6 %, turgencia de la piel ligeramente retardada y temperatura de 40.2 °C. Pruebas de laboratorio. Las alteraciones de laboratorio más relevantes fueron anemia por disminución de producción secundaria a insuficiencia renal crónica, hiperazotemia renal, así como proteinuria renal. Tratamiento y evolución. La evolución clínica del paciente no fue favorable, por lo que se decidió realizar eutanasia. La necropsia evidenció agenesia renal izquierda, cambios asociados a displasia renal derecha, contenido proteico en los túbulos renales, así como intususcepción  ecocólica.Relevancia clínica. Las afecciones renales en perros jóvenes son raras, sin embargo, el adecuado abordaje en conjunto con pruebas clínicas y de laboratorio permiten la caracterización clínico-patológica de alteraciones del desarrollo y tienen alto valor en el pronóstico en el manejo médico. Hasta el momento, no se ha reportado la presencia de dos nefropatías concomitantes en perros juveniles, por lo que la revisión de este caso clínico permitirá un avance en el conocimiento clínicopatológico de estas afecciones.
Experiencia y trauma en los autoritarismos modernos. Una mirada al presente a través de la perspectiva de Gino Germani
Authors: Grondona Ana
Published: May 2024

El artículo retoma, a partir de un interés por la crisis actual, algunos conceptos del sociólogo ítaloargentino Gino Germani respecto de las formas modernas del autoritarismo. Para ello, en un primer apartado, retomamos la perspectiva del autor sobre la modernidad y sus tensiones, después recorremos, con algo más de detalle, sus interrogantes alrededor de las formas de autoritarismo que se despliegan en ella. En este camino, nos adentramos especialmente en el aspecto de la “creencia” asociada a la cuestión de la “experiencia”. Según veremos, esto nos conducirá a bordear la noción de “trauma” y a exponer ciertas limitaciones a las que conduce el recorrido germaniano. Finalmente, a partir de estos insumos, propondremos algunas reflexiones finales, más bien provocaciones, en las que vinculamos la sociología de Germani con algunos de los problemas a los que nos enfrentamos en la actualidad.
Arduino Based IOT Smart Parking System
Authors: Tyagi S. , Upadhyay R. , Srivastva U. , Singh A. , Garg D.
Published: May 2024

Abstract: The idea of "smart cities" was very popular in the beginning. This paper presents an in-depth exploration of an Arduino-based Internet of Things (IoT) Smart Parking System designed to address the growing challenges of urban parking management. Leveraging the capabilities of Arduino microcontrollers and IoT technology, the proposed system offers an intelligent and efficient solution for optimizing parking space utilization. The key components of the system consist of sensor nodes that are positioned thoughtfully in parking spots and send occupancy data in real time to a centralized Arduino microcontroller. After processing this data, the microcontroller sends status updates to a cloud-based platform via wireless communication protocols. The cloud platform is interfaced with an intuitive mobile application that gives drivers instant access to information about parking availability and promotes a smooth parking experience.
Secure Your Network: Building a Hybrid Intrusion Detection System in Java
Authors: Kaur Avneet
Published: May 2024

Abstract: To protect the system from different types of intrusions, an intrusion detection system ID is required. It is essential to analyse the communication in order to classify the material as malicious or helpful. The usage of intrusion detection systems for cyber security shouldn't add to the processing time required for classification. These days, classification algorithms are utilized in conjunction with machine learning approaches to identify harmful data or intrusions. KDD cup 99 is the data set that was used in the experiment. Hybrid classification models can be used to adjust the performance of individual classification methods. This model blends rule-based algorithms with categorization techniques. An additional degree of security is provided by the combination of machine and human intelligence in classification. Precision, recall, F-Measure, and Mean Age Precision are used to validate an algorithm. The algorithm has a 92.35 percent accuracy rate. Even after merging our human-written criteria with traditional machine learning classification techniques, the model's accuracy is still considered satisfactory. However, there is still room for improvement and a more specific classification of the attack
India’s Foreign Policy toward China (2019 to 2024)
Authors: Raghav Kunal
Published: May 2024

Abstract: This research project delves into the evolving nature of India’s foreign policy towards China from 2019 to 2024. The period began with attempts at rapprochement, exemplified by the informal Wuhan summit between Prime Minister Modi and President Xi Jinping. However, this fragile progress was shattered by deadly border clashes at the Line of Actual Control (LAC) in 2020. This watershed event marked a significant shift in India’s China policy.The project explores this shift in detail, examining how India adopted a more assertive stance. This included bolstering its military presence and infrastructure at the LAC, a strategic move to deter further Chinese incursions. Furthermore, India tightened scrutiny of Chinese investments and business practices, aiming to reduce its economic dependence on China. To counter China’s growing influence in the IndoPacific, India actively pursued partnerships with other powers, most notably the Quadrilateral Security Dialogue (QUAD) alongside the US, Japan, and Australia.
A Parametric Study on Composite G+8 Structure With Application of Damper on Different Locations Using Time History Analysis
Authors: Kandare Omika
Published: May 2024

Abstract: The world's population has been growing quite quickly in recent years. Major cities, in particular, have relatively dense populations, which has increased demand for new homes. Because there isn't enough land for new construction in the majority of the old cities, high-rise buildings are moving into mountainous areas. These days, there is more competition to build high rise buildings all over the world as a result of certain developed nations building extremely tall skyscrapers to demonstrate their power and technology to the rest of the world. Buildings on sloping terrain, however, have different structural configurations than those on level terrain, which causes them to vibrate more during earthquake-induced ground motions, resulting in higher displacements and shears. Increased floor displacement results in damage to the structural components, rendering the structure unusable or, in the worst situation, collapsing as a whole. Reducing the amount of seismic energy that enters slanted ground buildings is essential to preventing damage. This can be done by absorbing the majority of the vibrations that an earthquake produces. There are numerous ways to lessen a structure's seismic reaction, including base isolation, shear walls, bracings, dampers, and more. Because of their effectiveness and simplicity of usage, damping devices are particularly well-liked among these methods. The eight-storey building model with four distinct cases—bare frame, bare frame with damper on corners, bare frame with damper on Central Bay, and bare frame with damper on Alternate Bay—is taken into consideration in this research examination. For modeling, use ETABS 2016 Ultimate programme. Utilize time history analysis as well to investigate how earthquake loading affects structures
An Area and Power Optimization for Level Shifters using 45nm CMOS Technology
Authors: B Harshitha
Published: May 2024

Abstract: Modern integrated circuits require level shifters as essential parts to enable communication between circuits running at various voltage levels. Design-wise, the Level Shifter has a minimal silicon footprint due to its limited component count and operates with minimal power usage, making it well-suited for energy-efficient applications. This work implements CMOS voltage level shifter, also known as conventional CMOS level shifter. The level shifter's overall power and area usage are compared. CMOS level shifters simulations are carried out using CADENCE tool. The simulation's outcomes are implemented in conventional 45-µm CMOS technology. Index Terms: Level shifters, - Very Large-Scale Integrated Circuits (VLSI), level shifter, low power
The Study on Optimization of Cutting Parameters to Enhance Surface Finish
Authors: Pramod Koshti
Published: May 2024

Abstract: The Objective of this project work is to Productivity and Surface finish improvement in CNC Die and Punch machining through optimization in cutting parameters. This technical paper studies the different machining parameters i.e. DOC, cutting feed and cutting speed by using different material cutters like cemented carbide cutters, HSS cutters, Insert types cutters. In this thesis an attempt to make use of Japanese optimization technique to optimize cutting parameters during highspeed milling of aluminum alloy using cemented carbide cutting tool
CareConnect: Improving Patient Appointment Scheduling using Markov Decision Process with K-Means Algorithms
Authors: Dhabe Dr. Priyadarshan
Published: May 2024

Abstract: In the healthcare sector, the number of patients has increased by a significant amount in the last decade which has resulted in overcrowding of hospitals and clinics. Using machine learning (ML) in this domain has proven very useful for both doctors and patients. This research mainly focuses on designing an algorithm for appointment scheduling for doctor’s which helps them prioritize patients based on their medical conditions and history which will give them an idea of which patient needs attention on a priority basis. The study implements various machine learning algorithms such as K-means clustering, which clusters patients into three classes of priority, Markov’s Decision Process (MDP) is used to define the problem and Q-Learning is used to solve it. Using these techniques the research aims to develop a system which automatically books an appointment with a doctor based on inputs given to certain questions related to their medical conditions.
Multipurpose Autonomous Navigation Robot (M.A.N.R)
Authors: Bhole Sanket
Published: May 2024

Abstract: The "Multipurpose Navigation Robot" project proposes the development of a highly versatile and adaptive robotic system capable of seamlessly navigating through diverse real-world environments such as restaurants, hospitals, and warehouses. The project centers around a modular design, featuring a flexible base chassis responsible for efficient and obstacle-free movement across various terrains and settings. The core innovation lies in the incorporation of easily attachable and detachable modules, enabling the robot to cater to specific tasks in different industries.
Fish Species Detection Using Deep Learning
Authors: Pokharkar Akash
Published: May 2024

Abstract: This research explores the application of deep learning techniques for fish species detection in underwater environments. convolutional neural networks (CNNs) trained on extensive datasets, the study aims to enhance the accuracy and efficiency of species identification. The proposed model demon- strates promising results in differentiating diverse fish species, contributing to advancements in aquatic ecology monitoring and biodiversity conservation. The integration of deep learning in fish species detection holds potential for improving our understanding of underwater ecosystems and supporting sustainable fisheries management. The relative abundance of fish pieces in their habitats on a regular basis and keeping an eye on population fluctuations, this are a crucial task for marine scientists andconservationists diverse automatic computer based fish sample methods have been demonstrated in underwater photos and videos as alternatives to time consuming hand sampling there isn’t however a perfect method for automatically detecting fish and classifying the species this is mostly due to the difficulties in producing clear underwater images and videos which include environmental fluctuations in lightning fish camouflage Dynamicbackdrops murky water low resolution shape deformations of moving fish.
Design of a Sugarcane Crusher: Towards Sustainable Processing
Authors: Kulkarni Dr. Nishant , Kulkarni Atharva , Kulsange Ajay , Lavkesh  , Lomte Varad , Mane Nishiraj , Mane Shubham
Published: May 2024

Abstract: In order to answer the expanding demand for increased sustainability and efficiency in the sugar sector, this research focuses on the design and development of an innovative sugar cane crusher. The proposed crusher design includes cutting-edge elements that maximize juice extraction while consuming the least amount of energy. The structural integrity and mechanical reliability of the design are guaranteed through thorough study and testing, including finite element simulations. The study also looks at automation and control systems to improve crushing and keep product quality constant. In comparison to traditional models, the new crusher design achieves better rates of juice extraction and uses less power, showing promising outcomes in operational efficiency. The applicability of the design to various processing scenarios and sugar cane kinds is also illustrated.By providing a response that meets industry objectives for increased efficiency and sustainability, this research helps to improve sugar cane processing technology.
Hindi-Handwritten-Character-Recognition using Deep learning
Authors: Kumar K. Sathish , Reddy M. Shashivardhan , Kumar D. Hemanth , Kumar D. Shiva , Shiva N. , Thiyagarajan Dr. D.
Published: May 2024

Abstract: Recognizing handwritten Hindi characters poses a significant challenge in the realms of machine learning and computer vision, particularly in the context of India's accelerating digitization. To address this, accurate and efficient algorithms are imperative for applications ranging from document analysis to postal automation and data entry. Leveraging the advancements in deep learning, we propose a novel approach to Hindi Handwritten Character Recognition. Our method employs a combination of Convolutional Neural Networks (CNNs) to extract image features and Recurrent Neural Networks (RNNs) to capture temporal dependencies within character sequences. Through rigorous evaluation on a standard benchmark dataset, our approach achieves state-of-the-art recognition accuracy. Furthermore, we validate its practical utility by successfully recognizing handwritten postal addresses on envelopes and other real-world applications. This research offers a promising solution to the challenges of Hindi Handwritten Character Recognition, with potential implications for advancing the digitization efforts not only in India but also in analogous regions.
Hydrophobic Coating on Metal Matrix Composites
Authors: Jyothi Ms. A Lalitha , Nitla Stanley Ebenezer , Gaddepalli Yakobu , K Prabhash , G Veerendra , M Durga Prasad
Published: May 2024

Abstract: The combination of traditional aluminum metal matrix composites (MMCs) with innovative reinforcement materials offers promising avenues for enhancing material properties and expanding application domains. In this study, aluminum matrix composites reinforced with ZrB2 (zirconium diboride) particles were fabricated using a stir casting technique. The addition of ZrB2 to the aluminum matrix aimed to improve mechanical strength, wear resistance, and thermal stability. Following fabrication, the resulting composite specimens were subjected to a surface modification process involving the application of a superhydrophobic coating. The superhydrophobic coating, characterized by its extreme water repellency and self-cleaning properties, was applied to the surface of the aluminum-ZrB2 composites using a spray-coating method. The coating material consisted of a hydrophobic compound integrated with nanostructured particles, engineered to achieve a hierarchical surface morphology that mimics natural superhydrophobic surfaces. The coated specimens were evaluated for their water repellency, contact angle measurements, and durability under various environmental conditions. The results of this study demonstrated that the combination of aluminum metal matrix composites with ZrB2 reinforcement, coupled with the application of a superhydrophobic coating, yielded surfaces with exceptional water-repellent properties. The coated composites exhibited high contact angles and low water adhesion, indicative of their superhydrophobic nature. Furthermore, the durability tests revealed the robustness of the coating against mechanical abrasion and environmental exposure. Overall, the integration of aluminum-ZrB2 composites with a superhydrophobic coating holds significant promise for applications requiring water-resistant surfaces, suchas aerospace components, marine structures, and outdoor equipment. This researchcontributes to advancing the development of multifunctional materials with tailoredsurface properties, paving the way for improved performance and longevity in diverse engineering applications
Teletrabajo: condiciones e implicaciones para la calidad de vida del teletrabajador. Revisión sistemática de literatura
Authors: Rosero Sarasty Oscar , Rengifo Baos Yazmin
Published: May 2024

El desarrollo actual del teletrabajo conlleva diferentes impactos para la calidad de vida de los trabajadores. Esto ha generado investigaciones que han analizado sus efectos en la vida de los empleados que lo ejercen. Esta publicación tuvo como objetivo aportar al estudio y comprensión de cómo el teletrabajo afecta la calidad de vida de las personas. Para esto, se efectuó una revisión y se hizo un análisis de literatura científica de la última década. Se siguió la metodología de revisión sistemática, tomando como referencia procedimientos de la declaración PRISMA y el modelo Vom Brocke. Se identificaron un total de doscientos setenta artículos, de los cuales se seleccionaron y estudiaron once documentos de texto completo. Los resultados evidenciaron cinco dimensiones que detallan los asuntos relacionados entre el teletrabajo y la calidad de vida: bienestar emocional, físico, material, social y desarrollo. Se observó la importancia de profundizar sobre cómo el teletrabajo afecta la vida de quienes lo practican, revisando las diferencias encontradas entre flexibilidad e intensificación del trabajo en esta práctica, y evaluando las repercusiones en la salud mental y la vida cotidiana de los teletrabajadores. Finalmente, sobresale la importancia de encontrar condiciones que beneficien la productividad y eficiencia de las empresas, así como la calidad de vida de los teletrabajadores.