bluuebunny/crossref_metadata_2025 huggingface dataset:
PSYCHOSE AIGUE DANS LE SYNDROME DE ROKITANSKY AVEC AGENESIE RENALE : A PROPOS DUN CAS
Authors:   Equipe de Recherche Pour la Sante Mentale, Service Universitaire Psychiatrique Hopital Ibn Nafis, CHU Mohamed VI, Marrakech., Ghizlane Ezzahhar , Haid Yousra El ,   Equipe de Recherche Pour la Sante Mentale, Service Universitaire Psychiatrique Hopital Ibn Nafis, CHU Mohamed VI, Marrakech., Fellah Sara El ,   Equipe de Recherche Pour la Sante Mentale, Service Universitaire Psychiatrique Hopital Ibn Nafis, CHU Mohamed VI, Marrakech., Imane Adali ,   Equipe de Recherche Pour la Sante Mentale, Service Universitaire Psychiatrique Hopital Ibn Nafis, CHU Mohamed VI, Marrakech., Fatiha Manoudi ,   Equipe de Recherche Pour la Sante Mentale, Service Universitaire Psychiatrique Hopital Ibn Nafis, CHU Mohamed VI, Marrakech.
Published: October 2023

Le syndrome de Mayer-Rokitansky-Kuster-Hauser (MRKH) est une malformation rare de la filiere genitale chez la femme. Il se definit par une agenesie de luterus et du vagin avec des ovaires normaux. Il est du a un defaut de migration des canaux de Muller vers le sinus urogenital lors de la vie embryonnaire. Cest une entite dimpact psychologique lourd et qui necessite une prise en charge pluridisciplinaire. Dans ce rapport de cas nous discutons lune des presentations psychiatriques du syndrome et la necessite de traiter et gerer ces problemes psychiatriques associes aux anomalies congenitales du systeme reproducteur.
CORONARY IN-STENT RESTENOSIS: A LITERATURE REVIEW
Authors: Choho Zakaria , El Ghali Tanae , Ben Brahim Walid , Azzahra Benmessaoud Fatima , Oukerraj Latifa
Published: October 2023

Intrastent restenosis is a narrowing of the lumen of a coronary vessel previously treated with angioplasty It is the result of two histopathological processes: vascular remodeling and neointimal hyperplasia due to smooth muscle migration and proliferation, with the latter mechanism predominating. It manifests clinically with symptoms of ischemia and angiographic findings showing at least a 50% reduction in the lumen of a vessel previously treated with balloon angioplasty or a stent. Second generation drug eluting stents or drug eluting balloons are recommended for treatment, depending on the type of restenosis being treated. We present a review of the literature about of the various aspects of this topic which remains a clinical challenge for interventional cardiologists, starting from its origin its historical background.to various treatment options.
COMPARISON OF MATRENAL AND FETAL OUTCOME IN CAESAREAN SECTION AND VAGINAL DELIVERY AT TERTIARY CARE CENTRE
Authors: Jain Shakti , Ojha Vandana , a Priti , Sachan Nidhi , Saxena Saumya
Published: October 2023

Objective: The aim of the study was to compare the maternal and fetal outcome associated with caesarean sections and vaginal delivery. Methods: A total of 1048 women with caesarean section were compared with the next parity- and age-matched women presenting in spontaneous labor. Maternal and neonatal outcome were the main outcome variables of interest. Maternal outcome variables included wound infection, puerperal sepsis and postpartum hemorrhage. Neonatal outcome were captured by Apgar score, Neonatal icu admission , Respiratory distress syndrome and the occurrence of neonatal sepsis. Results: A significantly higher rate of Urinary tract infection (n = 45 vs. 14, p = 0.0006) and wound infections (n = 92 vs. 4, p = 0.0004) could be detected in the caesarean section group in compare of vaginal delivery. A singnificant correlation found in Neonatal ICU admission (95 vs 56 , p value =0.01 ) and respiratory distress syndrome ( 88 vs 40, p = 0.004) in between caesarean sections and vaginal delivery. Conclusion: Overall neonatal and maternal outcome compared favorably among vaginal delivery versus caesarean delivery. Majority of morbidity in mother and children was associated with caesarean section as compared to vaginal delivery.
Adsorptive removal of Cr(VI) and Cu(II) ions from aqueous solutions by a natural moss
Authors: Ozeken Sengul Tugba , Ozdes Duygu , Duran Celal
Published: October 2023

The aim of the present research is to develop a new, fast, and easily applicable adsorption method for the removal of hazardous Cr(VI) and Cu(II) ions from the polluted industrial wastewater by using Racomitrium ericoides (Brid.) Brid. (REB), a type of moss. Although there are studies in the literature in which different moss species were used for the removal of heavy metals (HMs), REB was used for the first time in this study. Adsorption experiments were carried out through a batch system. The impact of significant experimental parameters showed that the optimum values of initial pH were 2.0 for Cr(VI) retention and 5.0 for Cu(II), and 360 min was selected as the optimum contact time for both HMs. An artificial neural network (ANN) model was applied to create a predictive model for the uptake efficiency of HMs. Adsorption kinetics of Cr(VI) and Cu(II) ions followed the pseudo-second order model. The maximum adsorption capacities of REB identified through the Langmuir model were 41.2 mg g−1 for Cr(VI) and 22.7 mg g−1 for Cu(II) ions. The results of the study demonstrated that REB can be utilized as an abundant, low-cost, and effective adsorbent in removal of HMs from aqueous solutions.
In-silico Assessment of Polyherbal Oils as Anti-diabetic Therapeutics
Authors: Bahl Amul S. , Verma Vipin Kumar , Prajapati Vaishali , Bhatia Jagriti , Arya Dharamvir Singh
Published: October 2023

Background:

Diabetes mellitus (DM) is characterized by elevated blood glucose levels
either due to insufficient insulin production, defective insulin action, or both. It affects nearly
537 million individuals worldwide. Pharmacological treatment involves the use of oral antidiabetic
agents as mono or combination therapy that effectively aids in controlling hyperglycemia.
Despite providing therapeutic benefits, these medications limit their use owing to adverse
side effects. Certain natural products, including essential oils, have promising anti-diabetic
properties.

Objective:

The present study explores the effectiveness of two polyherbal oils and their compound
towards the treatment of DM based on an In-silico approach to drug investigations.

Methods:

Compounds present in the polyherbal oil formulation were identified using GCMS/
MS analysis. Selected compounds undergo molecular docking with the receptor, and proteins
play an important role in DM. The potential compounds showing higher interactions than
the known inhibitors or inducers were evaluated using molecular dynamic simulations RMSD
values.

Results:

The compounds identified through GC-MS analysis possess anti-diabetic and antiinflammatory
properties. With the aid of in silico prediction methods, compounds such as geraniol,
cinnamaldehyde, anethole, caryophyllene, terpinyl acetate, cymene, linalool, menthol,
Phenol,2-methoxy-3-(2-propenyl), and 2,6- octadienal,3,7-dimethyl were identified as strong
binders of GLUT4 and insulin receptor proteins. Geraniol and Phenol,2-methoxy-3-(2-propenyl)
interaction with GLUT4 were of particular importance owing to their conformational stability.

Conclusion:

Our data suggest an agonistic effect of compounds on target proteins aiding in enhanced
insulin activity and could serve as a potential anti-diabetic agent.
Assessment of utilized species of macrofungi and evaluation of mycochemical composition and bioactive properties of Phellinus robiniae collected from Benguet Province, Philippines
Authors: De Leon Angeles , Evangelista TRL , Morales, Jr. ND , Undan Jerwin , Kalaw Sofronio
Published: October 2023

Macrofungi have long been used as food, medicine and other purposes. Several studies have been conducted on various macrofungi, however little is known about the wild useful macrofungi from the mountainous areas in the Philippines. Therefore, this study was conducted to document the diversity of wild utilized macrofungi in Kabayan, Benguet to come up with the species listing of wild utilized macrofungi in the area and assessment of the mycochemical composition, anti-oxidant activity and cytotoxic property of the basidiocarps of Phellinus robiniae. Seven wild utilized macrofungi were documented, all were identified morphologically, while four were subjected through molecular techniques to confirm identity; of the 7 mushrooms identified, five are edible (Hypholoma capnoides, Lentinula lateritia, Tremella fuciformis, Tremella mesenterica and Albatrellus confluens) and two are medicinal (Heterobasidion annosum and Phellinus robiniae). The identified mushrooms were: Hypholoma capnoides 92% (MF511082), Lentinula lateritia 99% (AF031192), Tremella fuciformis 94% (KY105682), Albatrellus confluens, Heterobasidion annosum 97% (KU645332), Tremella mesenterica and Phellinus robiniae. Assessment of bioactive properties of P. robiniae  showed that the basidiocarp contains eleven bio-active secondary metabolites (essential oils, phenols, sugars, triterpenes, coumarines, anthraquinones, anthrones, tannins, alkaloids, flavonoids and steroids). This study also revealed that P. robiniae exhibited anti-oxidant activity with a DPPH radical scavenging activity of 34.59% and a total phenolic content of 49.42 mg GAE/g. Moreover, the ethanolic extract of P. robiniae  showed an LC50 of 328.05 ppm which is considered as moderately toxic. This study provides baseline information on the utilized species of wild mushrooms that are found in the area.
The Potential of Microalgal Powder in the Enhancement of Pysicoshemical and Sensory Properties of Cakes
Authors: Yee Peng Soo , Matias-Peralta Hazel Monica
Published: October 2023

Cake is very popular bakery product, generally high calories due to high fat content. The objective of this study was to evaluate the physicochemical properties, and consumer acceptance of butter cakes supplemented with two different concentrations of microalgae Scenedesmus powder (5% and 10%) as partial replacement for fat content used in cakes. Microalgae are a rich source of proteins, vitamins, minerals, antioxidants, essential amino acids and fatty acids. The mean water activity of the control butter cake prepared with 100% butter with a value of 0.94 was higher (p<0.05) than the butter cake containing microalgae powder. Addition of Scenedesmus powder imparts a green colour to the product. For the butter cakes with increased amount of microalgae powder, the L*- ,a*- and b*- value decreased significantly (P<0.05). The lowest (P<0.05) firmness were observed for the butter cake containing the highest concentration (10%) of Scendesmus. Consumer acceptance evaluated using a structured nine points hedonic scale found that 5% replacement of microalgae powder had the higher overall acceptability compare with 10%. Overall, Scenedesmus butter cake could be developed with comparable physicochemical qualities without sacrificing consumer acceptability.
Arthropod Diversity in Soybean (Glycine max (L.) MERRILL) with Tagetes erecta
Authors: Maningding Renalyn , Garcia Catherine Joy , Galindez Jonathan , Fiegalan Elaida
Published: October 2023

Habitat manipulation aims to conserve insect population on agricultural landscapes by augmenting and conserving the population of natural enemies of pests or biological control agents. The study aimed to evaluate the effect of habitat manipulation on the yield of soybean by assessing the population of insects and other associated arthropods. Companion planting of Tagetes with soybean using inter-row and border row planting designs was followed. A total of 4, 388 individuals representing 11 insect Orders, and 128 species were collected through net sweeping and yellow sticky board traps. These two methods of insect collection were further compared using the two-planting designs. Border row planting design revealed a low population of insect pests, and thus better than the inter-row design. Also, higher number of biological control agents such as coccinellids was found in these plots than in soybean inter-row with Tagetes erecta, and soybean alone.
A Study on How Becoming Bilingual Changes the Way We Think Focused on the Cognitive Category—Colour
Authors: Qian Yuxi
Published: October 2023

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Consumer Evaluation of Plant-Based Ground Beef Alternatives in Real-World Eating Scenarios
Authors: O'Quinn Travis G. , Egger Lane A. , Farmer Kaylee J. , Beyer Erin S. , Lybarger Katie R. , Vipham Jessie L. , Zumbaugh Morgan D. , Chao Michael D.
Published: October 2023

The objective of this study was to evaluate the palatability of 3 plant-based ground beef alternatives (GBA) in comparison to ground beef under real-world hamburger and taco scenarios. The 3 plant-based GBA alternatives used represented a modern GBA sold at retail (RGBA), a modern GBA sold in foodservice (FGBA), and a traditional soy-based GBA (TGBA). Additionally, 80% lean ground beef was evaluated. Consumers (N=240; n=120 per panel type) evaluated samples for juiciness, tenderness, texture, beef flavor, overall flavor, overall liking, purchase intent,and purchase price and rated traits as either acceptable or unacceptable. For hamburger panels, consumers were served samples on buns and were given the option to add cheese, lettuce, pickles, ketchup, and/or mustard. For taco panels, samples were seasoned with a taco seasoning blend and served on flour tortillas, with consumers given the option to add cheese, lettuce, and/or tomatoes. In both scenarios, ground beef was rated higher (P<0.05) by consumers for juiciness, texture liking, overall flavor liking, beef flavor liking, overall liking, purchase intent, and price willing to be paid than all 3 GBA but was rated similar (P>0.05) for tenderness to FGBA and RGBA. Additionally, a higher (P<0.05) percentage of ground beef samples were rated acceptable overall and for flavor characteristics than all 3 GBA. Few differences were found between FGBA and RGBA for any palatability characteristics evaluated. TGBA was rated lower (P<0.05) than all other treatments for all palatability traits for taco panels and was similar (P>0.05) to only RGBA for beef flavor and overall flavor liking within hamburger panels. These results indicate that GBA currently available to consumers do not have improved palatability characteristics when used as an ingredient in a taco or hamburger scenario.
SYSTEM IDENTIFICATION USING NEWTON–RAPHSON METHOD BASED ON SYNERGY OF HUBER AND PSEUDO–HUBER FUNCTIONS
Authors: Filipović Vojislav
Published: October 2023

In real situations the presence of outliers is unavoidable and that is why the distribution of a disturbance is non-Gaussian. A synthesis of an algorithm of identification based on the Newton-Raphson method is considered for this case. The method requires that the loss function should be twice differentiable. Huber loss function, relevant for the treatment of outliers, has just the first derivative. In order to overcome the problem, the pseudo- Huber loss function is introduced. This function behaves similarly to the Huber loss function and has derivatives of an arbitrary order. In this paper, the pseudo- Huber loss function is used for the second derivative of functional in the Newton-Raphson procedure. The main contributions of the paper are: (i) Design of a new robust recursive algorithm based on the synergy of Huber and pseudo – Huber functions; (ii) The convergence analysis.
DATA ANALYSIS OF ENVIRONMENTAL CONDITIONS INFLUENCING THE WORK OF LABORATORY EQUIPMENT AND APPLICATION OF MACHINE LEARNING MODELS FOR CLASSIFICATION OF POOR CONDITIONS
Authors: Đorđević Anđela , Milovanović Miroslav , Milojković Marko , Spasić Miodrag
Published: October 2023

Environmental conditions can have a crucial impact on the functioning of laboratory equipment. Electric components are sensitive to the influence of certain environmental factors such as temperature, humidity, vibrations, etc. Environmental factors should, therefore, be monitored to avoid their negative influence on the system and potential faults and failures they could cause. Unlike the traditional approaches which required the presence of special staff to monitor environmental factors and react if they are poor, the rise of the Internet of Things enhanced the application of intelligent solutions where human factor is not necessary. In this paper, research on data analysis, preprocessing and intelligent classification of environmental conditions has been conducted. The data was collected by sensors connected to Raspberry Pi. The applied monitoring system setup enabled long-distance monitoring of laboratory conditions through the internet and full applicability of fundamental IoT concepts. Since data preparation is an important step in the process of designing machine learning models, the collected data was analyzed and preprocessed in Python. Intelligent classification of environmental conditions was performed using machine learning models k-Nearest Neighbors and Random Forest. Grid search was used for model selection, and the performances of k-Nearest Neighbors and Random Forest machine learning models were compared. Experimental results show that these machine learning models can be successfully used for intelligent classification of environmental conditions.
TWO-PARTITION DISCRETE GLOBAL GRID SYSTEMS - A COMPARISON OF APPROACHES BASED ON ADJUSTED SPHERICAL CUBE AND CYLINDRICAL EQUIDISTANT PROJECTION
Authors: Dimitrijević Aleksandar
Published: October 2023

The enormous volumes of geospatial data and the need to process and distribute them cry out for a unified framework that enables their efficient storage, analysis, and a high degree of interoperability. Discrete global grid systems provide such a framework by hierarchically tessellating cells to seamlessly partition and address the globe. Since they are usually based on a regular polyhedron, they partition the entire world into as many discrete data sets as the given polyhedron has sides. In this paper, we try to reduce the number of partitions to two, which is a minimum if we want to obtain spatially convex partitions without interruptions. Two approaches are presented, based on an adjusted spherical cube and an equidistant cylindrical projection. The distortions resulting from the application of these projections are compared and guidelines are presented to improve the quality of their implementation by reducing the distortion of the continental plates and making a better mapping to the WGS84 ellipsoid.
PERFORMANCE OF UPLINK-NOMA WITH USER PAIRING AND DATA RATE-BASED POWER SCHEME
Authors: Panajotović Aleksandra , Anastasov Jelena , Milić Dejan , Milović Daniela , Sekulović Nikola
Published: October 2023

This paper analyzes a performance of uplink power-domain non-orthogonal multiple access (NOMA) system with 2K users in which a resource allocation is taken into consideration. Since the power allocation and user pairing are tightly intertwined, they are considered as a hybrid issue. Accordingly, High-High/High-Low user pairing process precedes date rate-based power allocation. Derived closed-form expressions for the outage probabilities and the sum data rate for uplink power-domain NOMA system over a composite Fisher-Snedecor (F) fading channel are used for an extensive performance evaluation. The impact of different fading/shadowing channel conditions, various users’ positions and their number on the performance metrics is examined. Presented results have high level of generality since the F fading model provides accurate characterization of the multipath/shadowing conditions in numerous communication scenarios of interest.
MEMBONGKAR SISI GELAP FINTECH PEER-TO-PEER LENDING (PINJAMAN ONLINE) PADA MAHASISWA DI YOGYAKARTA
Authors: Hidayah Ahmad
Published: October 2023

This study aims to discuss dismantling the dark side of fintech peer-to-peer lending (online lending) to college students in Yogyakarta. This study uses qualitative research methods and was conducted in the city of Yogyakarta. The results of this study state that the reason why college students in Yogyakarta City use and borrow money at illegal peer-to-peer  lending fintech (online lending) is the ease of registration and disbursement of funds as well as their hedonism needs. After all, they have to accept how the dark side of fintech peer-to-peer  lending (online lending) is illegal which is so detrimental. Therefore, it is necessary to inculcate the value of financial literacy from an early age therefore that this does not happen again.
PERAN INDONESIA DALAM PERGOLAKAN KAPITALIS BARU: PLATFORM PENYEDIA JASA PENGINAPAN OYO HOTELS DAN REDDOORZ
Authors: Saputra Hanafi
Published: October 2023

This study reads the phenomenon of new platform capitalism from a sociological perspective. This study will critically discuss what is a platform based business model? How has the development of a platform based business model developed and has a positive impact on the Indonesian economy in the field of lodging services? and whether Indonesia is in the position of a player or even just as a worker in the digital economy era in the era of the industrial revolution 4.0, especially on the platforms of lodging service providers Oyo Hotels and RedDoorz. Furthermore, the authors can conclude that technological developments and economic globalization have given birth to a new form of capitalism, namely economic digitization in the form of platforms especially in the field of lodging service providers, namely Oyo Hotels and RedDoorz.
Perubahan Perilaku Masyarakat Terhadap Kepatuhan Menjalankan Protokol Kesehatan Setelah Dilakukan Penegakan Disiplin Oleh Satpol PP
Authors: Susdarwono Endro Tri , Susdarwanto Eko
Published: October 2023

This study aims to provide a description of changes in people's behavior towards compliance with health protocols after discipline is enforced by Satpol PP based on Tegal Regent Regulation No. 62 of 2020. In this study, the approach used was a combination of qualitative and quantitative. A qualitative approach is used to describe whether the enforcement of discipline carried out by Satpol PP related to compliance with health protocols results in changes in community behavior, while the quantitative approach used is hypothesis testing on signs used to analyze changes in community behavior compliance in carrying out health protocols after enforcement. disciplined by Satpol PP, while in order to ensure whether or not there is a change in the state of compliance with community behavior in carrying out health protocols, before and after treatment (before and after treatment research design) a hypothesis testing method on growth is used using the Mac Nemar change test. The enforcement of discipline carried out by the Satpol PP on compliance with community behavior in carrying out health protocols as an effort to overcome the spread of Covid 19 in Tegal Regency is able to make changes to people's behavior in carrying out health protocols for the better. This conclusion is obtained from statistical testing which states that from this study (1) the enforcement of discipline by Satpol PP can increase the level of compliance of community behavior in carrying out health protocols in Tegal Regency, (2) there is a change in the state of compliance with community behavior in carrying out health protocols in Kabupaten Tegal. Tegal after the enforcement of discipline by the Tegal Regency Satpol PP.
Strategi Pemerintah dalam mencegah paham Radikalisme Di Era Penggunaan Media social di kalangan remaja
Authors: Maksin Mastina Tina
Published: October 2023

Radicalism is an ideology or flow that wants social and political change or renewal by violent or drastic means, this is carried out by radical groups which justify various ways of carrying out their actions even though they take many victims, by justifying the teachings adhered to by these groups. As well as the radicalism network spreading various forms of propaganda to openly recruiting group members through social media or the internet, so that this becomes a problem where based on BPS data the population in Indonesia is dominated by productive groups, namely young people who are included in the category of Millennials and Generations "Z" so that this becomes a form of special concern because it can become a time bomb in the future if these teenagers are trapped and take part in the ideology of radicalism which ends in acts of terrorism. As for the method used in this research or writing, it uses a qualitative descriptive method with the hope that it can contain an in-depth and specific description or description of an article or a matter observed by the researcher. With the method used, it can be concluded that there are several strategies made by the government through the National Counterterrorism Agency (BNPT) and through the Ministry of Religion in counteracting radicalism in the era of social media use among adolescents.
Earthen Dam Siltation: A Review of Various Methods to Calculate Reservoir Sedimentation
Authors: Rashid Inyat , Pandit Dr. B. A.
Published: October 2023

Abstract: The shortage of rainfall and its increasing variability leads to moisture stress particularly in dry and rain-fed areas. Reservoirs, created by dams, are constructed to store water for use in non-monsoon months. However, these benefits are not fully explored due to water storage loss due to siltation. The sediment management at dams and reservoirs have given rise to acute complications owing to its impact on water availability, reliability of infrastructure and impact on downstream users. The methods to calculate the volume of siltation trapped by earthen dams play an important role in addressing these issues. The current article also summarizes the various methods that can be adopted to calculate sedimentation in reservoirs of dams.
Evaluation of in-vitro Effect of Polyphenols to prevent DNA Damage in Colon Cell Line after Bacterial Infection
Authors: Patil Dhanashree , Thakur Saee , Cota Damita , Paranjape Ramesh
Published: October 2023

Abstract: Inflammatory Bowel Disease [IBD] is a chronic inflammatory disorder that affects the digestive system. As a disorder of the Gastro inflammatory condition, IBD symptoms could be alleviated by nutritional factors. Polyphenols are the secondary plant metabolites exclusively present in plants, vegetables and fruits and are known to be beneficial due to their wide range of biological effects. Increased intake of polyphenols appears to protect against disease in virtue of their anti‐inflammatory properties. There is growing evidence showing that polyphenols isolated from plants have great therapeutic potential in the prevention and treatment of different chronic diseases, including inflammatory disorders as well as gastrointestinal diseases. Present study proposal is designed to evaluate the possible effect of three major polyphenols: Ellagic Acid, Gallic acid and Quercetin for their therapeutic potential in inhibiting adherence and cytokines release in rat intestinal cells exposed to bacterial infection in-vitro. In the current study, the E.coli strain HM 95 which has 1.51 ± 3.75 invasion capacity and 5.75 ± 9.36 adhesion capacity was used in the study to co-culture with Normal Rat Epithelium Cell Line [IEC-6] to study the Genotoxicity. Exposure to Gallic acid prevented DNA damage which was studied by Comet assay. However, Ellagic acid and Quercetin did not exhibit significant prevention of DNA damage.
Gesture Controlled Robot Car
Authors: Mhetre Mantesh , Mohekar Netra , Mhatre Rashmit , Barhate Prof. MInal , Modhave Pranav , Mishra Aakanksha , Senapati Minerva
Published: October 2023

Abstract: A noteworthy achievement in automotive technology is the creation of an automatic hand gesture-controlled robot that can operate and control a variety of car operations. By enabling drivers to keep their hands on the wheel and their eyes on the road, this technology improves driver comfort and safety by lowering distractions, increasing driving focus, and lowering the chance of accidents. It is especially useful in circumstances where quick access to particular functions is necessary. Additionally, the technology encourages accessibility for people with physical limitations, enabling them to drive independently. However, precision and dependability are essential for a successful implementation, and user education are required to guarantee that drivers comprehend and use the movements the system detects.The automatic hand gesture-controlled car system shows promise in enhancing convenience, safety, and accessibility, but further research and development are needed to improve accuracy, reliability, and user-friendliness.
Multilevel Thresholding Segmentation based on Levy-Horse Optimization Algorithm: A Review
Authors: Garde Mr. Machchhindra Jibhau , Patil Dr. Pravin Sahebrao
Published: October 2023

Abstract: A novel multi-level thresholding segmentation algorithm is proposed concerning machine learning and a metaheuristic algorithm is used to select multiple threshold value for segmenting the image. Here for the analysis, two, three and five-level of threshold value for the segmentation process is made. The threshold values for two, three and five level is generated by Levy horse optimized support vector machine (LHSVM). This optimized machine learning approach selects a reduced error threshold value to segment every object or region of interest in an image. Then the method is evaluated using Berkeley segmentation dataset and benchmark (BSDS300) dataset. This kind of multi-level threshold segmentation splits the image into class and thereby considers several classes for segmenting each object in the image
SQLI Attack: An Approach using ML and Hybrid Techniques
Authors: Bavarva Sneh , Senva Kalpesh , Bhojak Priyank
Published: October 2023

Abstract: Web-based systems are significantly at risk from SQL Injection Attacks (SQLIA), particularly in industries that handle sensitive data, like finance and healthcare. During these attacks, hostile actors insert false SQL queries into the database server of a web application in an effort to steal sensitive data. The use of classifiers and techniques like end-to-end deep learning and expanding the Aho-Corasick algorithm to detect SQLIA attacks have been covered in the literature. These researches have shed light on identifying and minimizing SQLIA, but the problem still exists. To detect and prevent SQLIA, a thorough methodology is suggested that combines static and dynamic studies with machine learning and hybrid tactics. The study compares several machine learning algorithms with hybrid techniques, showcasing the hybrid strategy's higher performance in both training and test sets. This method, which provides a practical means to secure web applications, is put out as a potential remedy for the persistent problem of SQLIA. In result, SQL Injection Attacks continue to be a danger, requiring effective ways for detection and prevention. It is highlighted as a promising solution the potential of machine learning and hybrid solutions, notably the hybrid approach. The study emphasizes how crucial it is to follow recommended procedures for protecting online applications from SQLIA attacks.
Polyherbal Facial Scrub
Authors: S Tapade S. , Sangle Rameshwar , Bedre Rutuja , Mane Priti , Suryawanshi Punam , Tandle Rutuja , Lahade Ramraje , Dappadwad Priyanka
Published: October 2023

Abstract: The main purpose of present study was to prepare a Polyherbal scrub incorporated into gel. In today's life for both women and men cosmetics plays an important role to glowing and altering the appearance of skin. The use of natural ingredients to remain healthy and of good appearance the skin surface requires frequent cleansing to remove oil, sebum and other secretions, dead cells, crusts and applied make-ups. Herbal cosmeceuticals usually contain the plant parts which possess antimicrobial, antioxidant and anti aging properties. It is the safest product to use routine with no side. effects and cosmeceuticals are the product which influences the biological function of skin. The prepared gel was evaluated for various parameters such as appearance. Cosmeceuticals are the product that improve the function of skin. Orange peel powder and multani mitti used as active ingradient and incorporated into the polyherbal scrub along with sodium lauryl sulfate into the formulation. The evaluation polyherbal scrub is done by various parameter such as appearance, pH, viscosity, spreadability, washability, irritability, and found to be satisfactory result. Thus, the prepared formulation can be used as an effective scrub which promote healthy and glowing skin.
Monument Tracker: Deep Learning Approach for Indian Heritage
Authors: Kuriakose Jacob , Nayak Dr. Pinki , Meena Lokesh , Parashar Jyoti
Published: October 2023

Abstract: Monuments are physical structures built to commemorate a person or event. Their importance to the region necessitates their documentation and upkeep. Due to the many variations in how various monuments are built, monument recognition is a challenging task in the field of picture classification. The various angles of the building are critical in identifying the monuments in photographs. As more international landmarks and monuments are covered, there is a greater need to connect a structure's physical presence to its digital presence. As a result, the monument's automated recognition is enabled. Monuments represent the culturally rich legacy of people of all ethnicities, castes, and faiths. It reflects tremendous achievements in art and architecture, and it also serves as the backbone of the surrounding region's socioeconomic progress through tourism. As an important historical and cultural heritage asset, the monument must be digitally recognized and archived. The monument photographs should be identified and described to aid in the preservation of people's cultures from various locations. The goal of this project is to present a method for classifying different monuments based on the characteristics of the monument photographs. Machine Learning and Deep Learning are advancing, speeding up advances in image recognition and allowing computer vision to reach new heights. The results with Baseline Model had an overall accuracy of 73.2%. After using Transfer Learning, we achieved an overall accuracy of 94.5% with VGG16 Architecture, Inception with an accuracy of 91.2% and Resnet50 with an accuracy of 85.5%.
A Review Study of Pranavaha Srotas Vikara With Special Reference to Chronic Obstructive Pulmonary Disease (COPD)
Authors: Rohila Dr. Saurabh Chandra , Kumar Dr. Mukesh , Sharma Dr. Shyoram
Published: October 2023

Abstract: Ayurvedic literature refers to the expression "Srotomayam Hi Shariram" which means "the living body is a system of channels consisting of several channels built as an internal transport system to perform various tasks. Srotas are macro channels and pathways in the living body covering visible and invisible organs, molecules, atoms and subatomic layers. Pranavaha Srotas is one of these channels that mediate Pranavayu. In Ayurveda, respiratory diseases are due to binding of Pranavaha Srotas, causing cough, breathing problems and disturbance of the breathing rhythm. COPD is the second largest common lung disease in India after pulmonary tuberculosis. It is common in middle-aged patients and rarely in patients under 35 years of age. COPD is the leading cause of death and morbidity worldwide. It is characterized by progressive and persistent airflow limitation.
Impact of CSR Activities on the Enhancement of Income of Farmers in Sustainable Agriculture
Authors: M Banusri , H Bharath , G Guruprasad K. , P Dr. Amalanathan
Published: October 2023

Abstract: Sustainable agriculture is the practice of farming in a way that satisfies society's current demands for food and textiles without affecting the ability of present or future generations to meet their own needs. The article focuses on agricultural businesses that, due to huge financial risks, are unable to provide goods of high quality for society, which results in less sustainable agriculture. The goal of this paper is to identify ways to manage the financial risks of agricultural entrepreneurship based on its corporate social responsibility for sustainable development and the delivery of food security. This paper also focuses on the security and affordability of the product, which cannot be done due to financial risks.
Evaluation of Economic Impact of Renewable Energy Sources in Multi-period Optimal Operation of Power Systems
Authors: Gompa Yamini , K Vaisakh
Published: October 2023

Abstract: In order to operate the electrical network economically and effectively, generation from various sources must be appropriately scheduled. Integrated systems are more common today because of the increase in the cost of fossil fuels and the technological advancements made in the field of renewable energy Resources. To be able to determine the best settings, the optimal power flow problem is posed with all relevant system characteristics, including generator outputs. The network might include conventional fossil fuel generators and renewable energy sources like wind power generators and solar photovoltaic. The classic problem of optimal power flow is a complex non-linear problem with non-linear constraints. In this research, it is suggested how thermal plants with wind and solar integration operate economically using General Algebraic Modeling System (GAMS) software's which has used Non-linear programming to resolve the Dynamic Economic Dispatch (DED) which is a part of optimal power flow problem. The impact of wind and solar integration on the cost-effective operation of thermal units while taking into considering IEEE-24 bus test system has been researched. In this paper, the reduction of a thermal plant's fuel consumption with the integration of wind and solar power is the primary focus of study.
Effect of Rolling at Moderate Temperature on Mechanical and Physical Behavior of the Light Weighted Composite Materials
Authors: Yadav Komal
Published: October 2023

Abstract: An application of the light weight martials play the significant role in the modern industries. Such materials along with the high strength to weight ratio and significant mechanical attributes utilized to fabricate the new generation materials for automobile industries. Al and its alloy have been utilized widely in the current automotive industries, especially addition of silicon in aluminium alloy provide significant improvement in Mechanical and physical properties. In the current study Al-Si alloy has been utilized as a base material to prepare the composite materials along with graphite powder. Fabricated materials have been characterized and evaluate the effect of rolling at moderate temperature on mechanical and physical properties. It has been found that the composite's material hardness have significant with respect to rising thickness reduction. The density of the materials continuously increases with increasing the percentage of thickness reduction and porosity reduced.
Combinatorial optimization solving by coherent Ising machines based on spiking neural networks
Authors: Lu Bo , Gao Yong-Pan , Wen Kai , Wang Chuan
Published: October 2023

Spiking neural network is a kind of neuromorphic computing that is believed to improve the level of intelligence and provide advantages for quantum computing. In this work, we address this issue by designing an optical spiking neural network and find that it can be used to accelerate the speed of computation, especially on combinatorial optimization problems. Here the spiking neural network is constructed by the antisymmetrically coupled degenerate optical parametric oscillator pulses and dissipative pulses. A nonlinear transfer function is chosen to mitigate amplitude inhomogeneities and destabilize the resulting local minima according to the dynamical behavior of spiking neurons. It is numerically shown that the spiking neural network-coherent Ising machines have excellent performance on combinatorial optimization problems, which is expected to offer new applications for neural computing and optical computing.
CREENCIAS DE RECHAZO ANTE LA VACUNACIÓN CONTRA COVID-19, Coquimbo- Chile
Authors: Fernandez Gago Tamara del Carmen , López Pizarro Lucía Fernanda , Tello Guamán Fernanda Jaqueline , Binvignat Flores Vivian Jeannette , Bianchetti Saavedra Andrés
Published: October 2023

Introducción: La enfermedad por COVID-19 representa uno de los mayores retos de salud pública y global, esta generó cambios sociales y económicos de gran magnitud en todas las regiones. Chile inició la campaña de vacunación masiva y al igual que el resto del mundo, la aceptación de dicha vacuna fue regular. Objetivo: Comprender las creencias que poseen las personas que rechazan vacunación contra COVID-19 en la comuna de Coquimbo. Material y Método: Estudio cualitativo, descriptivo. Se seleccionaron personas con esquema incompleto de vacunación COVID-19, quienes accedieron voluntariamente a participar en el estudio. Se realizaron entrevistas semiestructuradas en línea, con posterior análisis de contenido mediante la construcción de categorías. Como criterio de rigor se realiza triangulación analítica de datos, contrastando la información entre diferentes entrevistados. Estudio aprobado por Comité de Ética de la Universidad Católica del Norte. Resultados: Se entrevistaron a nueve personas. De los discursos analizados, emergen diez categorías. Cuatro de ellas se enfocaron en la opinión acerca de la vacunación contra COVID-19; dos hacia factores que influyen en las creencias y cuatro a fuentes de información que influyen en las creencias contra la vacunación. Conclusiones: Los resultados evidencian que las creencias de rechazo ante la vacunación están relacionadas con desconfianza generada por la rapidez del proceso de creación, efectos adversos a corto y largo plazo y la creación del virus Sars-CoV-2 en condiciones controladas (laboratorio). Destaca la creencia relacionada con la creación y distribución de vacunas, asociadas a un enfoque mercantilista.
Aprendizagem significativa crítica em atividades de modelagem matemática: possibilidades e desafios
Authors: Lopes Aldo Peres Campos e
Published: October 2023

Disciplinas matemáticas do Ensino Superior podem ser desafiadoras, por isso é importante primar por uma aprendizagem que seja significativa e crítica. Acreditando que a utilização da modelagem matemática é um caminho nessa direção, nossa pesquisa tem como objetivo investigar a aprendizagem significativa crítica em atividades de modelagem matemática produzidas por alunos de engenharias. Investigamos as possibilidades e os desafios para a aprendizagem significativa crítica nesse contexto e notamos que a modelagem favorece diversos princípios da aprendizagem significativa crítica, como descentralização do livro-texto e do quadro. Concluímos esse estudo com algumas considerações sobre modelagens, seus desafios e a aprendizagem significativa crítica.
Neoliberalismo e a escola contemporânea: uma problematização do Programa Conta para Mim
Authors: Oliveira Marli Pardo Legemann , Elias Mara Elaine de Lima , Schuler Betina
Published: October 2023

Este artigo trata de um ensaio teórico que busca pensar o nosso presente, enfocando nas relações entre uma racionalidade neoliberal e o enfraquecimento do sentido público da educação. Nesse sentido, diagnostica-se a velocidade, as mídias digitais e a performatividade invadindo os modos de existência de alunos e professores em uma lógica de consumo, de superconcorrência e das avaliações em larga escala pautando os processos educativos. Para tanto, considera o Programa Conta para Mim, vinculado ao Plano Nacional de Alfabetização de 2019, como um forte sintoma da aliança entre um discurso neoliberal que enfraquece as políticas públicas e um discurso neoconservador moralizante, produzindo essa racionalidade que diminui a potência das práticas de leitura literária na escola como possibilidade de exercício de pensamento e de vida.
The Effectiveness of Ethanol Extract of Robusta Coffee Seeds on Blood Glucose, Urea, and Creatinine Levels of Male White Rats Induced by Streptozotocin
Authors: Tandi Joni , Marsella Mimi , Suarsana I Made Agus , Dewi Niluh Puspita , Magfirah Magfirah , Handayani Tien Wahyu , Kanan Maria
Published: October 2023

Background: Traditional medicine plays a role in alternative treatment systems for diabetes mellitus. Objectives: This study aimed to screen the secondary metabolite of the ethanol extract from robusta coffee (Coffea canephora Pierre) seeds. We aimed to clarify the effects of these extracts on blood glucose, urea, and creatinine levels in Streptozotocin-Induced Diabetic Rats. Material and Methods: Phytochemical screening of extracts was carried out qualitatively according to standard methods. The rats were administered ethanol extracts of C. canephora Pierre seeds at doses of 100, 200, and 300 mg/kg body weight for 28 days. Blood glucose, urea, and creatinine levels were then compared between the control and diabetes groups. Results: The ethanol extract of C. canephora Pierre seeds contains alkaloids, flavonoids, saponins, and tannins. Group doses of 100-300 mg/kg body weight can significantly reduce blood glucose,  urea, and creatinine levels. It can be concluded that the ethanol extract C. canephora Pierre seeds is a potential source of antidiabetic. Conclusions: The ethanol extract of C. canephora Pierre seeds shows potential as an antidiabetic agent.
Market concentration of social commerce platforms: A perspective of regulation in a developing country
Authors: Asanprakit Saranchana , Kraiwanit Tanpat
Published: October 2023

Social commerce presents numerous business prospects in the current landscape (Xiang et al., 2022). However, concerns have emerged regarding the increasing concentration of the market and its potential economic implications (Azar et al., 2022). This study aims to examine the concentration levels within Thailand’s social commerce platform industry and explain the perspective of law and regulation. To assess market concentration, the Herfindahl-Hirschman Index (HHI), a widely used economic tool, was utilised. The HHI calculates the sum of squared market shares of all sellers, providing insights into competition effectiveness in a given market. This study also incorporated the method of documentary analysis. In the case of Thailand’s social commerce market, the study revealed an HHI of 4,474.27, indicating a relatively high level of concentration. This finding suggests that the market structure resembles an oligopoly, characterised by a small number of dominant competitors. In Thailand, popular social commerce platforms include Facebook, Instagram, Line Shopping, Twitter, and TikTok. However, new entrants in this oligopoly market face significant obstacles. Financial barriers, such as the substantial investment required to establish and promote a platform, pose challenges. Additionally, legal obstacles related to copyrights, patents, and other intellectual property rights must be navigated.
Methodology of Classical Usuli Texts: A Critical Appraisal of Taj al-Subki’s Jamʿ Al-Jawami'
Authors: Al-Hudawi Mohamed Jabir Ali , Babu Sahib Hikmatullah
Published: October 2023

Classical contributions are said to be the major source for contemporary studies of uṣūl al-fiqh. However, their linguistic nuances and stylistic methodologies are foreign to many contemporary researchers which makes any meaningful discourse an onerous and often arduous task. In this article, an attempt is made to explain the methodology employed by Tāj al-Dīn al-Subkī, an eminent 8th/14th Century jurisprudent, in his uṣūlī text Jamʿ al-Jawāmiʿ. The text has been selected, for its wide reception and great impact on the later development of uṣūl al-fiqh, as a model for the uṣūlī matn genre. It is hoped that the article will generate more interest in understanding juristic jargon and its usages in elucidating the principles of Islamic Jurisprudence. By offering a comprehensive analysis of the methodology intrinsic to classical uṣūlī works, with "Jamʿ Al-Jawāmiʿ" as the primary focus, this article endeavors to enhance comprehension of how classical scholars tackled and elucidated matters of Islamic law. The study not only sheds light on the intellectual heritage of Islamic jurisprudence but also serves as a valuable resource for understanding the evolving nature of legal thought within the Islamic tradition.