bluuebunny/crossref_metadata_2025 huggingface dataset:
VARIASI DAN ANALISIS FENETIK BAVOA (Cleome gynandra L.) DI SULAWESI TENGAH BERDASARKAN PENANDA MORFOLOGIS
Authors: Ramadhani Ayu Syahputri , Purnomo Purnomo
Published: January 2024

Tujuan penelitian ini adalah menentukan variasi morfologis tiap aksesi Bavoa, serta hubungan fenetik pada spesies antar aksesi Bavoa. Sebanyak 10 sampel diambil di wilayah Sulawesi Tengah, karakter morfologis yang dibandingkan berjumlah 22 karakter bersumber dari  batang, daun, bunga, dan buah. Karakterisasi morfologis mengacu pada deskriptor Cleome gynandra L. dengan modifikasi. Indeks similaritas antar aksesi (OTUs) dihitung melalui rumus Gower’s general similarity coefficient . Klastering dilakukan dengan metode UPGMA, analisis PCA untuk melihat karakter yang berpengaruh terhadap pembetukan klaster. Hasil penelitian menunjukkan variasi morfologis Bavoa di Sulawesi Tengah  memiliki perbedaan warna batang dan tangkai daun, bulu pada batang, dan ukuran tanaman Berdasarkan analisis fenetik Bavoa di Sulawesi Tengah dapat diketahui bahwa hubungan kekerabatan fenetik berdasarkan karakter morfologis terbagi menjadi  empat klaster. CG1, CG4, dan CG10 membentuk klaster tersendiri berdasarkan pH tanah, pengelompokkan CG9 dan CG7, CG2 dan CG5 menunjukkan adanya sifat plastisistas tanaman.
Language Design for Reactive Systems
Authors: Schulz-Rosengarten Alexander
Published: January 2024

Reactive systems play a crucial role in the embedded domain. They continuously interact with their environment, handle concurrent operations, and are commonly expected to provide deterministic behavior to enable application in safety-critical systems. In this context, language design is a key aspect, since carefully tailored language constructs can aid in addressing the challenges faced in this domain, as illustrated by the various concurrency models that prevent the known pitfalls of regular threads.
Today, many languages exist in this domain and often provide unique characteristics that make them specifically fit for certain use cases. This thesis evolves around two distinctive languages: the actor-oriented polyglot coordination language Lingua Franca and the synchronous statecharts dialect SCCharts. While they take different approaches in providing reactive modeling capabilities, they share clear similarities in their semantics and complement each other in design principles.
This thesis analyzes and compares key design aspects in the context of these two languages. For three particularly relevant concepts, it provides and evaluates lean and seamless language extensions that are carefully aligned with the fundamental principles of the underlying language. Specifically, Lingua Franca is extended toward coordinating modal behavior, while SCCharts receives a timed automaton notation with an efficient execution model using dynamic ticks and an extension toward the object-oriented modeling paradigm.
La “ley fuga” en el porfiriato
Authors: Soberanes Fernández José Luis
Published: January 2024

En este artículo daremos cuenta de una serie de levantamientos armados y enfrentamientos políticos por los que México atravesó de 1876 a 1911. Así, mientras que en México se asentaba la primera modernidad con base en la construcción de la red ferroviaria, la expansión industrial y metalúrgica, además del establecimiento de diversas instituciones bancarias; por otro lado, tenemos que el gobierno de Porfirio Díaz implementó una serie de prácticas “legales” con las que intentaba aminorar el impacto delictivo, violando la integridad de los sujetos aprehendidos por la justicia nacional; dichas prácticas fueron conocidas como “ley fuga”.
Unified Spatio-Temporal Attention Models for Advanced Human Action Recognition & Detection
Authors: Momidi Midhilesh
Published: January 2024

Abstract: This research paper introduces innovative approaches to enhance human action analytics in computer vision through the development of spatial and temporal attention models. The first model is based on Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) units, aiming to extract discriminative spatial and temporal features from skeleton data for improved human action recognition and detection. The model selectively focuses on discriminative joints within each frame, utilizing a regularized cross-entropy loss for effective training. Additionally, a joint training strategy is proposed to optimize the learning process. The second model, a spatio-temporal attention (STA) network, is designed to address the limitations of existing 3D Convolutional Neural Networks (3D CNNs) in treating all video frames equally. The STA network characterizes beneficial information at both the frame and channel levels, leveraging differences in spatial and temporal dimensions to enhance the learning capability of 3D convolutions. The proposed STA method can be seamlessly integrated into state-of-the-art 3D CNN architectures for video action detection and recognition. Evaluation of diverse datasets, including SBU Kinect Interaction, NTU RGB+D, PKU-MMD, UCF-101, HMDB-51, and THUMOS 2014, demonstrates the effectiveness of both proposed models in achieving state-of-the-art performance for action recognition and detection tasks. The spatial and temporal attention models contribute significantly to capturing discriminative features, showcasing their potential in advancing the field of human action analytics in computer vision.
Stabilization of petroleum and oil emulsions by bioorganic compositions based on humic acids
Authors: Gertsen Maria M. , Golysheva Anastasia N. , Perelomov Leonid V.
Published: January 2024

The stabilizing ability of humic acids isolated from reed fen peat of the Ryazan region in the relation to oil and petroleum products under various abiotic conditions of the aquatic environment has been studied. The applicability of the used biological products in conditions of low temperature and increased salinity of the medium is determined. The stabilizing ability of the developed biological products was determined by the transmittance of emulsions. It was found that in the condition of increased salinity, the transmission coefficient decreases by 5-24% relative to the control experiment for crude oil, diesel fuel and waste oil when using monocultural biological products. It was found that the use of polycultures in the composition of biological products significantly reduces the transmittance by 24-43% for “HAs from reed peat of the Ryazan region + Rhodococcus erythropolis S67 + Rhodococcus erythropolis X5” and 10-29% for “Humic acids of reed peat of the Ryazan region + Rhodococcus erythropolis S67 + Rhodococcus erythropolis X5 + Pseudomonas fluorescens 142NF”. The applicability of the studied biological products in conditions of low temperatures is confirmed by a decrease in the transmission coefficient to 68-73% for diesel fuel, to 60-64% for used synthetic engine oil and to 64-69% for crude oil. It was found that the transmission coefficient decreases in the series: “Humic acids of reed fen peat of the Ryazan region + Rhodococcus erythropolis X5” → “Humic acids of reed peat of the Ryazan region + Pseudomonas fluorescens 142NF” → “Humic acids from reed fen peat of the Ryazan region + Rhodococcus erythropolis S67”. It was revealed that the reduction of the transmission coefficient of oil emulsions occurs due to the combined use of humic acids isolated from reed peat of the Ryazan region and the association of bacteria (both when using 2 and 3 strains). The stabilizing ability of humic acids in conditions of increased salinity was comparable to it in conditions of reduced temperature. It has been established that cane humic acids of the Ryazan region can be used as a basis for biological products that stabilize oil and oil emulsions.
Zoning of the city of Shelekhov, Irkutsk agglomeration, based on the assessment of acoustic pollution
Authors: Novikova Svetlana A.
Published: January 2024

The study carried out the zoning of the city of Shelekhov, based on the assessment of acoustic pollution of the territory. Field observations were made and the number of vehicles moving along intracity roads and the federal highway R-258 “Baikal” was calculated. With the help of sound level meters, instrumental measurements were made in the daytime and at night, and maps of the sound pressure level of the road network were built. The calculation of statistical characteristics was carried out and the daily course of the distribution of the noise level on the main and secondary roads was constructed. The analysis of the obtained results and their comparison with the established sanitary standards for their excess was carried out. Evidence has been identified to support the implementation of strategies aimed at reducing acoustic pollution and, as a result, creating favorable conditions for the population to live.
Ecological and technological efficiency of the innovative coal-watercoal cluster of housing and communal serviсes
Authors: Zommer Tatyana V. , Simonyan Vladimir V. , Morozov Andrey G.
Published: January 2024

The possibilities of increasing the ecological and technological efficiency of the innovative coal-watercoal cluster of housing and communal services, including the mechanics of coal destruction in a hydraulic shock installation, are considered. The creation of an experimental coal-watercoal cluster of housing and communal services involves the use of innovative coal-watercoal technology in boilers under construction or in operation, including the processing of solid coal fuels into innovative coal-water fuel suspension with subsequent combustion in specially equipped furnaces. The set tasks of managing environmental and technological qualities in the process of preparing an innovative coal-water fuel suspension based on statistical analysis of the granulometric composition correlate with the tasks of obtaining micro- and ultrafine coal-water suspensions in order to achieve high environmental and technological qualities. The control of an innovative coal-watercoal fuel technology based on automatic control of the granulometric composition using the natural fracturing of coal for the control action during the destruction of coal by the method of water hammer is proposed. Technological patterns of reducing the negative technogenic impact on the geospheres are revealed, including a method for managing the environmental and technological qualities of an innovative water-coal suspension based on automatic control of the granulometric composition during coal grinding by the hydraulic shock method.
COMPARING ROTATION-ROBUST MECHANISMS IN LOCAL FEATURE MATCHING: HAND-CRAFTED VS. DEEP LEARNING ALGORITHMS
Authors: Rahman Aulia , Lie Louis Gautama , Wahyudi Haris , Heltha Fahri
Published: January 2024

The objective of this research is to conduct a performance comparison between hand-crafted feature matching algorithms and deep learning-based counterparts in the context of rotational variances. Hand-crafted algorithms underwent testing utilizing FLANN (Fast Library for Approximate Nearest Neighbors) as the matcher and RANSAC (Random sample consensus) for outlier detection and elimination, contributing to enhanced accuracy in the results. Surprisingly, experiments revealed that hand-crafted algorithms could yield comparable or superior results to deep learning-based algorithms when exposed to rotational variances. Notably, the application of horizontally flipped images showcased a distinct advantage for deep learning-based algorithms, demonstrating significantly improved results compared to their hand-crafted counterparts. While deep learning-based algorithms exhibit technological advancements, the study found that hand-crafted algorithms like AKAZE and AKAZE-SIFT could effectively compete with their deep learning counterparts, particularly in scenarios involving rotational variances. However, the same level of competitiveness was not observed in horizontally flipped cases, where hand-crafted algorithms exhibited suboptimal results. Conversely, deep learning algorithms such as DELF demonstrated superior results and accuracy in horizontally flipped scenarios. The research underscores that the choice between hand-crafted and deep learning-based algorithms depends on the specific use case. Hand-crafted algorithms exhibit competitiveness, especially in addressing rotational variances, while deep learning-based algorithms, exemplified by DELF, excel in scenarios involving horizontally flipped images, showcasing the unique advantages each approach holds in different contexts.
Combining “Deep Learning” and Physically Constrained Neural Networks to Derive Complex Glaciological Change Processes from Modern High-Resolution Satellite Imagery: Application of the GEOCLASS-image System to Create VarioCNN for Glacier Surges
Authors: Herzfeld Ute Christina , Hessburg Lawrence John , Trantow Thomas , Hayes Adam N
Published: January 2024

The objectives of this paper are to investigate the tradeoffs between a
physically constrained neural network and a deep, convolutional neural
network and to design a combined ML approach (“VarioCNN”). Our
solution is provided in the framework of a cyberinfrastructure that
includes a newly designed ML software, GEOCLASS-image, modern
high-resolution satellite image datasets (Maxar WorldView data) and
instructions/descriptions that may facilitate solving similar spatial
classification problems. Combining the advantages of the
physically-driven connectionist-geostatistical classification method
with those of an efficient CNN, VarioCNN, provides a means for rapid and
efficient extraction of complex geophysical information from submeter
resolution satellite imagery. A retraining loop overcomes the
difficulties of creating a labeled training data set.

Computational analyses and developments are centered on a specific, but
generalizable, geophysical problem: The classification of crevasse types
that form during the surge of a glacier system. A surge is a glacial
catastrophe, an acceleration of a glacier to typically 100-200 times its
normal velocity, which for a marine-terminating glacier leads to sudden
and substantial mass transfer from the cryosphere to the oceans,
contributing significantly to sea-level-rise. The sudden and rapid
acceleration characteristic of a surge results in formation of
crevasses, whose spatial characteristics provide informants on the
ice-dynamic processes that occur during the surge. GEOCLASS-image is
applied to study the current (2016-2024) surge in the Negribreen Glacier
System, Svalbard. The geophysical result is a description of the
structural evolution and expansion of the surge, based on crevasse types
that capture ice deformation in 6 simplified classes.
An empirical analysis of factors influencing underrepresented geoscientists' decisions to accept or decline faculty job offers
Authors: Duffy Margaret L , Barnes Liza Y , Wirz Christopher D. , Ranganathan Meghana , Freilich Mara A. , Freese Lyssa M , Lalk Ellen , Wilcots Julia , Shivamogi Rohini
Published: January 2024

There is a lack of diversity amongst geoscience faculty. Therefore, many
geoscience departments are taking steps to recruit and retain faculty
from underrepresented groups. Here, we interview 19 geoscientists who
identify as a member of an underrepresented race or gender who declined
a tenure-track faculty job offer to investigate the factors influencing
their decision. We find a range of key factors that influenced their
decisions to accept or decline a position, including fit and resources,
experiences during job interviews, negotiations and offers, family,
geographic preferences, attention to DEI, personal identities,
mentorship, hiring process, and teaching responsibilities. Despite
existing recommendations for interventions to improve faculty diversity,
many of the participants experienced hiring processes that did not
follow these suggested best practices, suggesting that departments are
not all aware of best hiring practices. Therefore, we leverage our
results to provide actionable recommendations for improving the equity
and effectiveness of faculty recruitment efforts. We find that
institutions may doubly benefit from improving their culture: in
addition to benefiting current members of the institution, it may also
help with recruitment.
Aesthetic Labor in Service Work: The Breakthroughs, Debates and Future
Authors: Wan Renxue
Published: January 2024

Aesthetic labor refers to the process in which workers’ appearances make the core of employability. After two decades of development, the theory has yielded outstanding theoretical and empirical achievements. The review briefly investigates the trajectory of the construction, the debates, and the unfinished agenda of aesthetic labor. Introduced at the dawn of the 21st century, aesthetic labor ambitiously re-conceptualizes the emotional labor paradigm by accentuating the role “looking good and sounding right” plays in the new economy. It challenges the analytic frame of emotional labor by foregrounding the importance of corporeal attributes and the embodied dispositions of workers during service encounters. However, the theory is also challenged for its dominating feminist scope and the one-sided accentuation of the dysfunctions of society. A growing volume of research has diverted the attention on the experiences of male workers in aesthetic labor, and some, at the same time, are attempting to justify the prevalence of aesthetic labor by examining the agency of workers during the labor process. Comparative case studies, as well as the scope of cultural approach, are considered two promising research methodologies for aesthetic labor studies. Although the pursuit of beauty has always accompanied human development, the value of a “good look” has never been more prominent in our age. The booming of beauty industries such as make-up, modeling, and fashion has witnessed how a desirable physical appearance helps countless men and women ascend the social ladder from almost the bottom to the top. An increasing volume of literature focuses on the phenomenon, among which the term “aesthetic labor” stands out as one of the most influential theories that capture the characteristic of occupations based on the never-ending polishment of physical appearance. After two decades of development, the theory of aesthetic labor has stimulated volumes of research examining the role of the body and physical beauty in interactive service work. The review essay aims to sketch the breakthroughs that the theory have made, the debates centered on the theory and the future directions that might fill the gap
Assessment the Incidence, Pattern and Clinical Presentation of Acute Appendicitis at ATAT Hospital
Authors: TA* Dengela
Published: January 2024

Background: Acute appendicitis is one of the commonest surgical Emergency encountered in both children and adults. The life time risk of developing appendicitis in the USA is 8.6% for males and 6.7% for females with the highest incidence in the second and third decades. The incidence in the United Kingdom is about 52per 100,000 population (Mike, 2015; John, 2008 and Addis, 1990). It is relatively a rare disease in Africa. The incidence is estimated to be less than 9 per 100,000population in South Africa (Richard, 2014). The incidence of the disease is now thought to have increased in African populations which are probably due to the adoption of more western patterns of life. However few studies were done in Ethiopia A retrospective analysis was undertaken on 200 cases of acute appendicitis surgically managed at Yirgalem Hospital from January 1997 to December 1999. During this period the disease accounted for 27.9% of the operations for acute abdominal emergencies and for 1.1% of total hospital admissions. The overall mortality rate of 0.2-0.8% is attributed to the complications of the disease other than surgical interventions .the mortality rate rise above 20% in patients older than 70 years, primarily because of diagnostic and therapeutic delay. Objective: The study aims to assess the incidence, pattern and clinical presentation of acute appendicitis at ATAT Hospital, from december30-january12. Methodology: A retrospective cross sectional study will be conducted at ATAT hospital GURAGE zone surgical patients who were admitted to the surgical ward with the diagnosis of acute appendicitis from meskerem 2009- Pagume 2011E.C. The data will be conducted by reviewing records and data will be analyzed manually. Result: The result will be compared with other studies and will be presented using tables. During the two years of study a total of 342 emergency abdominal emergencies. There were 128 patients presenting at Atat Hospital with acute appendicitis. Out of these, the records of 114 (89.06%) patients were retrieved for analysis remaining cards couldn’t be traced. 8 (7.01%) Of patients had appendicular masses and were managed conservatively, While 106 (92.6%) had emergency surgery for acute appendicitis. Conclusion and Recommendation: Acute appendicitis is the most common cause among all emergency acute abdominal operations performed in Atat hospital. Efficient information, Education and communication strategy needs to be designed to increase the knowledge of the community about appendicitis. Further studies should be made concerning appendicitis during pregnancy.
Application of Clustering and Biclustering Techniques to Yeast Metabolic Cycle
Authors: GB* Alfonso
Published: January 2024

Clustering is probably the most used techniques in the analysis of gene expression data. The goal of this technique is to find clusters of genes that have similar expression patterns. The basic assumption behind clustering approaches is that two genes with similar expression patterns are mechanically related. There are many ways in which two genes could be related (when activated by the same transcription factor, when one acts as a transcription factor for the other, when involved in the same biological process and therefore similarly regulated by the cell, etc.). This work will refer to a previously presented research paper -Yeast Metabolic Cycle – which studies genes that have similar expression patterns, we will use them to demonstrate how data mining techniques are applied to bioinformatics. A variety of tools is leveraged in order to apply Clustering and Bi clustering techniques and gains a better understanding of the biological problems we encounter in the field of systems biology.
A Short History of Skeletal Muscle Proteomics
Authors: AB MALIK Zulezwan
Published: January 2024

Proteomics is the study of proteins using high-throughput techniques and relies on a combination of genomics, mass spectrometry and protein biochemistry. The human genome contains of approximately 20,000 genes that are transcribed into mRNA and then can be translated in to proteins Researchers can test hypotheses regarding individual mRNA or proteins using techniques such as Northern blots (for mRNA expression) or Western blots (for protein abundance). This ‘reductionist’ approach, where biology is reduced to individual questions, has been the mainstay of biological research. However, data arising from hypothesis-led studies clearly indicates that biology is not organised or controlled by isolated events Rather, biological systems are organised as complex networks and multiple interactions occur to bring about physiological changes. Therefore, more comprehensive (eg ‘-omic’) analysis techniques are required in order to advance our understanding of biological systems. The proteome is cell-specific and dynamic, responding on a minute-by-minute basis to changes in cell environment. Consequently, the proteome reflects the particular stage of development and current environmental condition the cell finds itself experiencing with regard exercise proteomics, report proteomic studies have mostly focused on striated muscle responses to endurance training, which are associated with health benefits underpinned by improvements in aerobic capacity. Over the past decade, researchers have studied the ability of proteomics analysis on skeletal muscle and the development of techniques. In this review we will point out some of the studies related that contributed to skeletal muscle proteomics
Network Pharmacology as an Appropriate Bioinformatics Tool for Drug Discovery
Authors: Nair SN Venugopalan
Published: January 2024

Network pharmacology is an emerging technique which integrates systems biology and computational biology to study multicomponent and multi targeted formulations. Ayurvedic formulations and multicomponent and multi targeted but their mechanism of action is not understood. The networks can illustrate and visualized the interaction of bioactive molecular targets and their relation with diseases.
Successful Resuscitation of Deadly SARS - Cov-2 / COVID19
Authors: Vasiliev MD Ilie
Published: January 2024

I survived in April 2020 from the deadly β- SARS-Cov-2/ COVID-19, as a resuscitator who saved many thousands of other patients in Moldova, Russia and Middle Asia. I consider it necessary to describe the success of Professor V. Cojocaru’s team in saving my life.
“Identification of SARS-CoV-2 in Human Genome based on Protein Dynamics Conversion and Target Genes Marking via Bioinformatics Approaches”
Authors: Dubey Alka
Published: January 2024

In this project our team worked on identification of target genes in human from Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and Human-to-human transmission of SARS-CoV-2 was confirmed on 20 January 2020 during the COVID-19 pandemic Transmission was initially assumed to occur primarily via respiratory droplets from coughs and sneezes within a range of about 1.8 meters (6ft). Laser light scattering experiments suggest that speaking is an additional mode of transmission and a far- reaching and under-researched one, indoors, with little air flow. Other studies have suggested that the virus may be airborne as well, with aerosols potentially being able to transmit the virus the first known infections from SARS-CoV-2 were discovered in Wuhan, China. The original source of viral transmission to humans remains unclear, as does whether the virus became pathogenic before or after the spillover event and we also found numbers of genes specific targets in human via bioinformatics approaches based on symptoms and its analysis. Identification of genes based on miRNA analysis of corona virus sequences. First we prepared some precursors sequences including analysis of genomics values after based on alignment similarly of short lengths nucleotide sequences in a form of miRNAs via bioinformatics approaches then we predicted targeted genes in a whole human genomes from the miRNA of corona virus and we identified some potential genes based on symptoms of corona virus infected peoples.
Number of Contiguous Amino Acids in Nanon of 16A Diameter
Authors: Rajasekaran Ekambaram
Published: January 2024

Proteins are major source of interactions in living being. Understanding these interactive one is essential in order to elucidate its structure and function. Fundamentally there are some situations where adequate understanding is made in dealing this biomolecule. According to nature of interaction it is reported that carbon alone is main factor of interactions in dealing this structure and function. Following this, new avenues are opening up in recent times. Accordingly it is reported here that carbon factor of fundamental value is deciding the adjoining amino acids in order to maintain structure followed by function. It is revealed that 5 amino acids are crucial in deciding the local structure to stability and all. Otherwise higher number of this value is observed which are minimal and may not be important. Significant arrangements are done at 5 amino acids and accordingly 9 amino acids are crucial in stabilizing this 5 amino acid one. Overall pattern can be identified at lengths of 5, 9 or 27. It is going to be useful in mutational study leading to disease solvation and all.
Fuchsia Flush-Chromophobe Renal Cell Carcinoma
Authors: Bajaj Anubha
Published: January 2024

Chromophobe renal cell carcinoma emerges as a solid tumefaction arsing from intercalated cells of distal convoluted tubules. Initially scripted in by Thoenes, et al in 1985, neoplasm is additionally designated as chromophobe renal cell carcinoma, classic variant
Critical Analysis of World Status of Research on the Development of High Yielding Strains of Jatropha Curcas L
Authors: SK Datta
Published: January 2024

It is almost 45 years since the mission Jatropha started for the development of high-yielding strain for commercial exploitation as a source of biofuel plant. A massive amount of literature has been accumulated on almost all aspects of Jatropha. It is now very important to evaluate the results related to the selection/development of novel strains. No preferable strains have been developed either through intra-and inter-specific hybridization or induced mutagenesis. Literature survey indicates that the quantum of work towards the development of new variety under the Jatropha mission is very negligible in comparison to other works. Maximum activities are not in synchronization with the exact mission of the project. It is now very important to choose the correct path to escalate Jatropha to industrial status within a reasonable time. Breeders may intelligently think about the selection of the best available strain, periodical pruning, and induced mutagenesis for commercial exploitation before doing further experiments with Jatropha. It is now high time to prepare need-based planning considering ongoing and on-coming research areas.
Sympatric Association in Species and Breeds of Pigeons
Authors: Kabir M* Ashraful
Published: January 2024

For understanding the ancestral behavior of pigeons and doves, this composition has an impact. Rock-pigeons with other pigeons are commonly observed in any railway station and ruined building. Due to genetic relations, wild rock-pigeon mix with local or indigenous pigeon, feral pigeon, and tumbler pigeon. They make pairs and produce viable offspring. Pigeon keepers of Bangladesh make pairs between local/rock-pigeon and fancy pigeons and get good fosters always.
African Indigenous Knowledge of Climate Change and Disaster Risk Management in Changing Climate
Authors: GK* Bol
Published: January 2024

Climate change presents an unprecedented challenge to humanity. The changing climate threatens the very existence of humankind and the ways of life on Earth, including indigenous knowledge systems. The indigenous knowledge systems are threatened by climate change because they depend on natural factors such as trees, animals, and wind patterns, which can be affected by climate change. As the changing climate posits a significant challenge to the survival of species on earth, it begs the question ‘Are indigenous knowledge systems still relevant in a changing climate? This paper examined the African indigenous knowledge of climate change and disaster risk management in the context of the changing climate. The research was conducted in Mozambique, Kenya, Ethiopia, Tunisia, Nigeria, Burkina Faso, and Cameroon. The seven countries represent the six climatic zones in Africa. Africa's climate is categorised into six climate zones. These are equatorial, humid tropical, tropical, Sahelian, Mediterranean, and Desert. Following an in-depth analysis, the research found that, by contrast, the African indigenous knowledge systems and practices have evolved with the changing climate as the African indigenous communities have developed some of the advanced adaptation options to build resilience to climate change and the changing disaster risk paradigm
Ecological and Evolutionary Consequences of Gene Flow through Pollen from Transgenic Crops to Their Wild Relatives
Authors: Dida Gudeta
Published: January 2024

The rapid progress in biotechnology has significantly promoted the development and production of genetically modified (GM) crops. The extensive global cultivation of GM crops has generated great benefits, which may provide opportunities for solving the problems inherent in world food security, but it has also aroused considerable biosafety concerns worldwide. Among these, the potential environmental consequences created by possible transgene escape from a GM crop to its nonGM crop counterparts and wild or weedy relatives via gene flow are the most debated biosafety issues internationally. Gene flow indicates the movement of genes or genetic materials from one plant population into another. There are a range of predicted possible environmental and evolutionary consequences such as the creation of new weeds, change of fitness-related characters, and loss of genetic diversity in crop landraces and wild relatives) caused by wild transgene flow. In addition, transgene flow also arouses biosafety concerns for food/feed and health and socio-economics and ethics. Through pollenmediated gene flow, a transgene can move from a GM crop into populations of a wild relative, and persist or disseminate in the wild population through further hybridization and introgression between the GM crop and wild relative. If a transgene can express in wild plants as it does in the GM crop, the transgene may change a certain trait of the wild plants, possibly leading to further undesired consequences. If a transgene can alter the fitness of wild plants and the dynamics of the wild populations, the introgression of the transgene in the wild population may cause either local extinction of the population or make the wild population more invasive and competitive. Therefore, a wide variety of possible ecological and evolutionary consequences of gene flow through Pollen from transgenic plants to their wild relatives are discussed on the basis of previous work
Effect of Shirodhara in the Management of Vatika Shiroroga: A Case Study
Authors: S Sakshi
Published: January 2024

The most typical primary headache is called Vatika Shiroroga (Tension Headache). According to the International Headache Society, 46% of people worldwide experience headaches in general, 42% experience tension-type headaches, 11% experience migraines, and roughly 3% experience chronic tension headaches. It is produced due to contraction of the muscles of head & neck & psychological factors like stress and strain aggravates the condition. Shirodhara is a significant Ayurvedic therapeutic method which has significant effect on the body's neuro, immuno, physio and psychological systems. Several studies have been carried out to evaluate the efficacy of Shirodhara in many diseases. The trial drug Dashamoola Taila for Shirodhara procedure showed highly significant reduction in symptoms like Ghat-Sambhidhyate (Cutting type of pain in posterior aspect of neck), Sankhanistoda, Akshinishkasanvat peeda, Bhrumadhya peeda, Nishakal Ativedna etc. Thus, Shirodhara with Dashamoola Taila is effective in the management of the Vatika Shiroroga (Tension Headache). The patient received Shirodhara treatment with Dashmoola Taila for 3 sessions of 7 days each with a gap of 3 days.
Gulma Roga
Authors: B Puri
Published: January 2024

Gulma is diseases entity which is caused due to aggravation and encapsulation of Vata Dosha (Kupita Anila Moodhatwa), which does not give clue about its site of origin (Goodha Gulmodhaya) which spreads widely like shrubs (Gulmavat Vishaltwat). It covers various gastro-intestinal and gynecological diseases, but its diagnosis becomes difficult, due to its complex clinical presentation. Hence, it's essential to understand gulma in a comprehensive way for accurate and easy diagnosis. gulma is Vata pradhana Udara Vikara, any type of gulma cannot deny without vayu. It is merely compared with abdominal lump with different names like Cysts, Tumours, Herniation, Fibroid, Inflammed condition, Abscess etc. Any type of pain with palpable mass which occur in any quadrant of abdomen may create a suspicion of gulma. Various types mentioned by Various Acharyas (Vataj, Pittaja Kaphaja, Sannipataja &Raktaja). Here, Rakta gulma is mentioned by some Acharyas which is a diseases having accumulation of only blood within the uterus, in the women of active reproductive age, having normal menstruation. In this article Nidana, Purvarupa, Lakshen, Samprapti, Sites, Types, Stages and Management of gulma has been reviewed along with gulma nashaka yogas.
Glycyrrhiza Glabra (Mulethi) A Boon in Ayurveda: A Review
Authors: P Mahobiya
Published: January 2024

The roots and rhizomes of Glycyrrhiza glabra (Family: Leguminosae) have been used in traditional medicine and ayurveda for hundreds of years as a medicinal drug, antiulcer, and antimicrobial. Liquorice or licorice (Glycyrrhiza glabra L.) may be a perennial plant that is classified as a weed in wheat fields, cucurbit and vegetable gardens, cotton, potato, sugar beetroot and fodder. Its medicinal drug and inhibitor properties are also positively correlated with the improvement of memory. This review not only describes and explains the plant's typical use but also highlights its potential applications in the cosmetic or pharmaceutical industries as well as its medicinal properties, such as antitussive, antimicrobial, antioxidant, anti-inflammatory, antiulcer, and anticancer
‘Nagori Ashwagandha’ (Withania Somnifera L. Dunal) A Miracle Root Herb for Arid Region of India: A Mini Review
Authors: PL Saran
Published: January 2024

Ashwagandha is an important hardy and drought-tolerant root medicinal herb. It is very important in terms of their immense health-promoting effects as well as from an economic point of view. It is a profitable venture for growing in sandy soils even in culturable wasteland and not preferred as a feed by wild animals. If appropriate region-specific cultivation of this plant can be done, that will have a huge impact on the quality and quantity of the raw materials. Nagori Ashwagandha (N.A.) can ensure a supply of good quality raw (long, thick, brittle and starchy roots) as well as formulated materials in both national and overseas markets. Integration of this selection into existing farming systems could be considered remunerative and will generate employment for local nomads involved in the collection and harvesting of Ashwagandha.
Challenges and Opportunities Confronting Factors of Partograph Utilization in Governmental Health Institutions of Addis Ababa, Ethiopia, 2022: Qualitative Study
Authors: EB Getahun
Published: January 2024

The commencement of pregnancy requires close medical care. However, the inability of pregnant women to maintain optimal health result to pregnancy complications. This study sought to assess knowledge and associated factors on obstetric danger signs among pregnant women attending antenatal care at Tumu Government Hospital. A cross-sectional design adopted a simple random sampling technique to recruit 399 participants. A structured questionnaire was developed to collect data. Study data were analysed using Statistical Package Social Sciences (27) and analysed descriptively and inferentially with an alpha value <0.05 as significant. About 17% of participants had poor knowledge of obstetric danger signs. Factors such as occupation [p=0.001] associated with poor knowledge on obstetric danger signs. First trimester [p=0.012], Second trimester [p=0.001], Multigravida [p=.006] and Previous skilled birth [p=0.0001] significantly predicted poor knowledge on obstetric danger signs. About 17% Pregnant women had poor knowledge on obstetric danger signs. Awareness of pregnant women through more intensive health education programs would help avert the complications associated with obstetric signs. Further studies are recommended to examine the role of traditional practices in the emergence of obstetric danger signs among pregnant women in the community
Birth Preparedness and Complication Readiness among Women in Jugal Hospital, Harar, Ethiopia
Authors: AF Jamie
Published: January 2024

Background: The majorities of maternal fatalities are avoidable and are generally blamed on patients delaying seeking care. Delays in deciding to seek treatment if a complication arises, delays in getting to care, and delays in obtaining care all have an impact on the availability and usage of obstetric services to avoid maternal mortality. So Birth preparedness and complication readiness is a crucial strategy for reducing maternal and newborn mortality. This study was aimed to assess the current status of birth preparedness and complication readiness in Harari regional state, Harar, Ethiopia from April 1st to 30th, 2023. Methods: An institution-based cross-sectional research was conducted at Jugal Hospital in Harar, Pregnant women who can hear and communicate and who were voluntary to participate were included. Systematic random sampling technique was used to select 233 pregnant women. The survey tool (questionnaire) used was developed by Johns Hopkins Program for International Education in Gynecology and Obstetrics (JHIEGO). SPSS version 21 was used for analysis. Descriptive analysis was done and the results were presented in the form of narrative and table. Bivariable and multivariable logistic regression was done to identify factors associated with birth preparedness and complication readiness. All variables with p-value less than 0.25 in bivariable logistic regression model were entered to a multivariable logistic regression model for controlling possible confounding and odds ratios and their 95% CIs were computed. Result: Eighty-seven (37.83%), of the respondents mentioned at least two key obstetric danger signs during pregnancy, 92 (40.00%), of the respondents mentioned at least three key obstetric danger signs during childbirth and 66 (28.70%) of the respondents mentioned at least two key obstetric danger signs during postpartum period , 178 (77.39%), 199 (86.52%), 43 (18.70%), 67 (29.13%) and 7 (3.04%) of respondents indicated that they saved money, identified the place of delivery, identified skilled providers, identify means of transport and blood donors, respectively. Conclusion: This study revealed, age of the mother, Educational status, maternal occupation,. Residence, No. of pregnancy, Current ANC visit and History of stillbirth, were significantly associated with birth Preparedness and Complication readiness
Formulation and Evaluation of Mouth Dissolving Tablets of Amiodarone
Authors: N Karnakar
Published: January 2024

Mouth dissolving tablets are a vital tool in keeping our children and senior population healthy. Their ease of use and accurate dosing allow advanced patient compliance and further dependable remedial goods. Super disintegrants are the abecedarian element contained in Mouth dissolving tablets and are responsible for their unique capability to snappily disintegrate and dissolve on the face of the lingo without the use of any fresh liquid. In order to determine the most effective type and optimal quantum of super disintegrants for orally disintegrating tablets manufactured by direct contraction, the following tablet parameters were tested hardness, consistence, frangibility, decomposition time, and wetting down time. Three super disintegrants were tested, videlicet Kyron T- 314, Ac- Di- Sol, and Banana Powder and the most effective superdisintegrant was named grounded on the below mentioned studies. From the results attained, it can be concluded that the tablet expression( F3) showed the promising expression also the hardness, frangibility, decomposition time and dissolution rate of set tablets were set up to be respectable according to standard limits.
Pré-eclâmpsia
Authors: Haddad Carolina Federicci , Ribeiro Henrique Costermani , Fernandes Filho Ivan , Del Nero Ulisses , Korkes Henri Augusto
Published: January 2024

Objetivos: Avaliar o conhecimento em relação à pré-eclâmpsia e sua prevenção entre médicos obstetras e residentes de obstetrícia e ginecologia.  Materiais e métodos: O estudo será realizado por meio da aplicação de um questionário que abordará temas relacionados à prevenção da PE. Este questionário será entregue para médicos residentes de ginecologia e obstetrícia e para médicos obstetras que assistem pacientes com risco para PE. Resultados: nenhum dos participantes (0%) citou todos os fatores de alto risco para pré-eclampsia e apenas 5,41% dos participantes citou todos os critérios clínicos para suspeita de pré-eclâmpsia. Ainda, apenas 5,41% dos participantes reconheceu todos os critérios laboratoriais para pré-eclâmpsia. Apesar disso, a grande maioria (85,13%) citou AAS e cálcio ou apenas um deles como medida profilática para pré-eclampsia. Conclusão: A despeito dos avanços nos diagnósticos, nas medidas preventivas e nas condutas bem estabelecidas, a morbimortalidade relacionada às síndromes hipertensivas durante o ciclo gravídico puerperal mantém-se elevada. Em congruência com os resultados obtidos, acreditamos que seja devida à falta de identificação de grupos de risco, carência de prevenção adequada, dificuldade de manter um seguimento pré-natal diferenciado, demora realizar o diagnóstico, redução do uso do sulfato de magnésio, demora na conduta de interrupção da gestação e carência no seguimento puerperal destas doentes de risco.
Predicting the Development of Complications After Mitral Valve Repair Using Mathematical Analysis
Authors: Matsuganov D. A. , Nuzhdin M. D.
Published: January 2024

AIM. To study the possibilities of using risk factors, data from instrumental research methods identified at the preoperative stage as independent variables for predicting the development of complications after mitral valve surgery.

   MATERIAL AND METHODS. The study included 103 patients, 46 men and 57 women, who underwent surgical correction of mitral valve defect and were treated at the Cardiac Surgery Department of Chelyabinsk Regional Clinical Hospital № 1 in the period from 2014 to 2019. Among those patients, the presence of anemia at the preoperative stage (blood hemoglobin level less than 100 g/l) was detected in 13 (12,6 %) cases; obesity (BMI more than 30 kg/m2) — in 57 (55,3 %) cases; transfusion of blood and its components in anamnesis — in 14 (13,6 %) cases; type 2 diabetes mellitus — in 7 (6,8 %) cases; stroke in anamnesis — in 9 (8,7 %) cases; chronic Hepatitis C — in 6 (5,8 %) cases; HIV infection — in 4 (3,9 %) cases; antibiotic therapy before surgery was indicated in 21 (20,4 %) cases; edema of the lower extremities was detected in 40 (38,8 %) cases; an increase in body temperature before surgery — in 19 (18,4 %) cases; the presence of atrial fibrillation before surgery — in 63 (61,2 %) cases. The systematization of the source information was entered into a Microsoft Office Excel 2016 spreadsheet. Statistical analysis was carried out using the IBM SPSS Statistics v.26 program (developed by IBM Corporation). Binary logistic regression was used as a method of mathematical data analysis. Instrumental research methods: electrocardiography (ECG), echocardiography (ECHO-CG); coronary angiography was performed according to indications.

   RESULTS. The presence of risk factors such as anemia, obesity, as well as an increase in the size of the right atrium can be used as an independent variable to predict the development of complications. An increase in the diameter of the pulmonary artery trunk, and the presence of edema of the lower extremities reduces the risk of complications. The likelihood of developing complications after mitral valve surgery predicted by the logistic regression method was 53,4 %. The resulting model predicts the absence of complications with the likelihood of 82,5 %. The development of complications was correctly predicted in 93,3 % of cases.

   CONCLUSION. This model can be used as an additional tool in predicting the development of complications after mitral valve surgery.