bluuebunny/crossref_metadata_2025 huggingface dataset:
STRATEGI KEMITRAAN SEBAGAI UPAYA PEMBERDAYAAN EKONOMI DALAM MENINGKATKAN PENDAPATAN DAN KESEJAHTERAAN MASYARAKAT (STUDI KASUS PADA USAHA KOPERASI TERNAK TANI SYARI’AH MITRA SUBUR KABUPATEN BONDOWOSO)
Authors: Nurjannah Feby
Published: January 2024

Kemitraan adalah jalinan kerjasama usaha yang merupakan strategi bisnis yang dilakukan antara dua pihak atau lebih dengan prinsip saling membutuhkan, saling memperbesar dan saling menguntungkan. Hubungan kerjasama tersebut tersirat adanya satu pembinaan dan pengembangan Hal ini dapat terlihat karena pada dasarnya masing-masing pihak pasti mempunyai kelemahan dan kelebihan, justru dengan kelemahan dan kelebihan masing-masing pihak akan saling melengkapi dalam arti pihak yang satu akan mengisi dengan cara melakukan pembinaan terhadap kelemahan yang lain dan sebaliknya.
KTTS merupakan organisasi berbadan hukum koperasi yang bertujuan untuk memberikan pemberdayaan pada masyarakat Bondowoso. Penelitian di fokuskan pada: 1) Bagaimana strategi kemitraan usaha Koperasi Ternak Tani Syari’ah Mitra Subur sebagai upaya pemberdayaan ekonomi masyarakat? 2) Bagaimana  dampak strategi kemitraan Koperasi Ternak Tani Syari’ah Mitra Subur terhadap peningkatan pendapatan masyarakat Kabupaten Bondowoso? 3) Bagaimana dampak strategi kemitraan Koperasi Ternak Tani Syari’ah Mitra Subur terhadap kesejahteraan ekonomi masyarakat Kabupaten Bondowoso? 4) Bagaimana faktor-faktor pendukung dan penghambat strategi kemitraan Koperasi Ternak Tani Syari’ah Mitra Subur?
Jenis penelitian ini adalah penelitian kualitatif deksriptif dengan instrumen kunci peneliti sendiri. Lokasi penelitian pada Koperasi Ternak Tani Syariah di Desa Karanganyar Kecamatan Tegal Ampel Kabupaten Bondowoso. Pengumpulan data menggunakan metode wawancara, dokumentasi, dan observasi. Analisis data dilakukan dengan menggunakan teknik reduksi data, penyajian data, dan penarikan kesimpulan. Sumber data yang diperoleh terdiri dari sumber data primer dan sekunder.
Hasil penelitian ini menunjukkan bahwa pola kemitraan yang dijalankan oleh KTTS adalah pola kemitraan inti plasma dengan lembaga sebagai penyedia barang dan pemasaran produk. Keberadaan konsep kemitraan Koperasi Ternak Tani Syariah dapat memberikan pemberdayaan, peningkatan pendapatan, dan kesejahteraan bagi anggota/mitra-mitranya. Pemberdayaan yang dilakukan berupa pembinaan terhadap anggota tentang bagaimana caranya agar dapat beternak dengan cara dan waktu yang lebih efektif dan efisien. Dampaknya tentu akan sangat berpengaruh terhadap peningkatan pendapatan dan kesejahteraan dari masing-masing anggota.
PERAN LEMBAGA KEUANGAN SYARIAH DALAM MENDUKUNG EKONOMI MIKRO DAN KECIL
Authors: Firdausiah Nuri
Published: January 2024

Studi ini mengkaji peran penting kegiatan ekonomi dalam kehidupan sehari-hari manusia dan peran yang dimainkan oleh lembaga perbankan dalam konteks perekonomian. Selain itu, penelitian ini menyoroti perkembangan perbankan syariah sebagai alternatif yang didambakan oleh umat Islam dalam sistem keuangan. Penelitian ini menjelaskan bahwa bank syariah berfokus pada prinsip-prinsip syariah, terutama prinsip bagi hasil (profit sharing), sebagai alternatif yang adil dan bebas dari riba.
Selanjutnya, penelitian ini menggambarkan peran Badan Usaha Mandiri Terpadu (BMT) sebagai lembaga keuangan mikro syariah yang membantu ekonomi pengusaha mikro dan kecil. Dalam konteks ini, profit sharing menjadi karakteristik utama yang membedakan sistem keuangan syariah dengan konvensional. Penelitian ini menyoroti pentingnya mengikuti ketentuan syariah dalam kegiatan operasional lembaga keuangan syariah dan peran Majelis Ulama Indonesia (MUI) dalam menentukan kehalalan transaksi.
Penelitian ini juga mengangkat studi kasus tentang KJKS BMT-UGT Sidogiri, menyoroti pembiayaan mudharabah sebagai produk dengan risiko tinggi dan isu terkait proyeksi keuntungan. Temuan dalam penelitian ini mengindikasikan perlunya penelitian lebih lanjut dalam konteks ini, dengan tujuan untuk meningkatkan pemahaman dan pelaksanaan prinsip-prinsip syariah dalam lembaga keuangan syariah serta mendukung perkembangan ekonomi mikro dan kecil secara adil dan berkelanjutan.
IMPLEMENTASI MONITORING PEMBIAYAAN MUROBAHAH DI BMT MASLAHAH CABANG JEMBER TAHUN 2023
Authors: Supriyanto  , Adi Suwarno Suparjo
Published: January 2024

Tujuan penelitian ini untuk mendeskripsikan implementasi dari monitoring  Pembiayaan Murobahah di BMT Maslahah Cabang Jember Tahun 2023 dimana terdapat banyak sekali amnfaat dilaksanakan monitoring diantara kefektifakan pengembalian pinjamin dari kriditur pada pembeiayan syariah terutama di BMT Maslahah Cabang Jember Tahun 2023. Monitoring juga berfungsi unutk menilai sejauh mana impelentasi murabahah berdampak positif pada pembiyaan syariah.
Penerapan Metode Pembelajaran Diskusi dan Penemuan Terbimbing (Discovery) dalam Upaya Meningkatkan Motivasi Belajar Matematika pada Materi Persamaan Lingkaran
Authors: Ilawaty Siti Aidah
Published: January 2024

Penelitian ini dilatarbelakangi pada kenyataan bahwa sebagian besar siswa Kelas XI TKRO 3 SMK Negeri 7 Baleendah Kab. Bandung merasa kesulitan dalam belajar Matematika, pelajaran ini merupakan materi yang cukup sulit dan kurang digemari oleh para siswa. Rendahnya hasil belajar ini disebabkan karena kurang motivasi dan semangat belajar untuk menguasai materi. Masalah yang timbul salah satunya anak masih lemah pengetahuannya tentang materi pembelajaran yang disampaikan oleh guru. Dengan menerapkan metode Diskusi dan penemuan diharapkan siswa mampu menumbuhkan semangat belajar siswa, sehingga siswa semakin semangat mengikuti pembelajaran. Metode Diskusi dan penemuan merupakan Pembelajaran Kooperatif yang pada dasarnya adalah belajar bersama dalam kelas, sehingga dalam proses belajar perlu adanya penekanan pada keaktifan siswa. Sehingga pada akhirnya siswa berkompetisi untuk menjadi yang terbaik. Berdasarkan hasil penelitian diketahui bahwa terdapat peningkatan hasil belajar siswa, hal tersebut diindikasikan dari perolehan rata-rata siklus I (58 %) dan siklus II (83.61 %). Sedangkan pencapaian ketuntasan belajar individu pada siklus I sebesar 27.77 % dan siklus II sebesar 94.44 % sehingga indikator kinerja penelitian tindakan kelas ini selesai pada siklus II. Penelitian ini bertujuan untuk memberikan tambahan informasi dan pemikiran tentang salah satu dari sekian banyak metode pembelajaran yang dapat diterapkan untuk meningkatkan kompetensi siswa. Keberhasilan penerapan model, pemilihan media, strategi, maupun pendekatan pembelajaran tentunya dipengaruhi oleh berbagai faktor. Namun penelitian ini setidaknya memberikan gambaran bagaimana seorang guru berusaha untuk meningkatkan hasil belajar siswa melalui proses pembelajaran yang berkualitas
GENETICALLY MODIFIED PLANTS : BENEFITS AND ENVIRONMENTAL PROBLEMS
Authors: SINGH JAY SHANKAR , SINGH D.P. , GUPTA R.K
Published: January 2024

The major goal of this review is to assess food risks of the introduction of genetically modified (GM) crops. The author analyzes the properties of the several classes of target proteins used in the transgenic constructions and discusses the problems that arise due to the lethal action of GM crops, the horizontal transfer of the transgenic constructions, in other traditional organisms, and their instability. Particular consideration is given to elevated risks of using the GM plant varieties on human health and various environmental risks associated with their introduction in field conditions. The authors emphasizes the requirement for assessing in detail all hypothetic risks in each particular case of cultivating GM varieties; as a control, such assessment must involve a comprehensive comparison with the conventional parental forms. A detail studies are required to assess the potential environmental risks of GM crops even though the technology promises many benefits. Further we need more and precise testing methods before making GM foods available for human consumption.
EVALUATION OF ANTIOXIDANT ACTIVITY OF THE POLYOXYGENATED XANTHONES FROM SWERTIA CHIRATA BUCH., HAM
Authors: MANDAL SUVRA , DASC PRIYABRATA , DAS ASHES , MONDAL DHIRENDRA NATH , GHOSH ANINDITA , MUKHERJEE DEBARATI , MISHRA RAGHWENDRA , BHATACHARYYA ATANU , KAR MANOJ
Published: January 2024

Swertia chireta is an indigenous medicinal plant which are used for variety of ailments.Moreover, several phytochemicals are present in this plants.The major bioactive compound within the plant is xanthones.This plants are the mojor source of secondary metabolites, like flavonoides and triterpenoid etc . Naturally, the plant Swertia chireta posses a multiple source of different biological componentwhich are solely responsible for different physiological activities. Naturally, bioassay of this plants were investigated with the hexane.Hexan extract of aerial parts of the Himalayan plant, Swertia chirata Buch.Ham. ex Wall.(Gentianaceae) resulted in the isolation of seven polyoxygenated xanthones, fraction Sc-1 – Sc-7. Out of seven compounds extracted from this plant , five components ( Sc - 3 - Sc-7) exhibited antioxidant activity at different magnitude ofpotency.The paper deals with these facts
GROUND WATER QUALITY OF JAGDISHPUR INDUSTRIAL AREA (U.P.)
Authors: Shukla Ankur , Mishra S.P. , Singh V.K.
Published: January 2024

Ground water samples from bore wells of Jagdishpur Industrial area, district Sultanpur at present district C.S.M. Nagar (U.P.) were analysed for the assessment of the physico-chemical parameters with reference to BIS, 1998 standards for drinking water. Research findings revealed that, values of several parameters cross their permissible limit and pointing out to the necessity of proper treatment to disposal of municipal waste, industrial waste and domestic waste in that area.
Conservation Needs of Freshwater Fin-Fish Genetic Resources
Authors: Tripathi P N , Tripathi Ved Prakash , Dubey Swapnil Raj
Published: January 2024

The present communication deals with the general picture of fish and fisheries status of river Ghaghra and other wetlands of districtFaizabad and adjoining regions and the status of fish production from river stock, and also with the problems of fish farmers that they face during fish culture on their fish farm. During observation it is noticed that fish production from river is continuously decreasing due to overfishing and lack of well planned programme and a continuous decrease in fish production causing loss of biodiversity. During present investigation some other reasons are also discussed which are responsible for decline of production
Glucose level influences breeding cycle in catfishes
Authors: Pandey V.K.
Published: January 2024

The effect of sub-lethal concentration of paper mill effluents on glucose level in blood of Heteropneusts fossilis has been recorded. The glucose content of blood was measured. The changes were observed to be statistically significant (P<0.05, P<0.01 in all the three phases of breeding cycle)
Histoenzymological Observations on Acid Phosphatase Activity in the Posterior Intestine of HGCL2–Treated Fish, Channa striatus
Authors: . Dhirender
Published: January 2024

Present studies incorporate enterotoxic effects of HgCl2 on the relative distribution of acid phosphatase (ACP) activity in the posterior intestine of fish, Channa striatus. It was observed that there appears to be slightly increased ACP activity accompanied by histolytic changes in the columnar epithelial cells lining of villi and intestinal glands of the posterior intestine of treated carnivorous fish. However, in control, these changes were invisible.
EFFICACY OF SOME NOVEL PESTICIDES AGAINST MUSTARD APHID
Authors: Verma Krishna Deo
Published: January 2024

Brassica oilseed crops are the major Rabi oilseed crops grown in India, which are collectively referred to as rapeseed-mustard. Several insect pests attacking the Brassica. Among them mustard aphid, Lipaphis erysimi is the most serious pest causing up to 97.0 per cent yield loss.Therefore six newer insecticides were tested against this insect. the aphid population in thiomethoxam treated plots was minimum (0.24 aphids/10cm apical shoot) which was statistically at par with imidacloprid treatment with 99.33 and98.50 per cent reduction in population. While minimum reduction (94.84 percent) of aphid population was recorded in fipronil 5SC treatment at days after spraying. The highest cost benefit ratio was observed from imidacloprid 17.8SL@20g ai/ha (1:18.54) followed by thiamethoxam 25WG@25gm a.i./ ha (1:17.62)
ETHNOBOTANICAL STUDIES ON MEDICINAL PLANTS OF BANASTHALI REGION OF TONK DISTRICT, RAJASTHAN (INDIA)
Authors: Sain Sweta , Kumari Nilima , Tirpathi BN
Published: January 2024

Ethnobotany is the study of the interactions and relationships between plants and people over time and space. If plants did not exist, human life would not be possible. The present study is an attempt to explore the traditional indigenous knowledge of the local rural people from Banasthali region located in district of Tonk Rajasthan state. The study explored 44 plants species belonging to 29 families and 41 genera used to prepare various remedies and their modes of preparations are decoction, juice, extract, and powder. The information regarding their use was collected from local rural people through semi structured interviews. A total of 60 key informants(women 65% and men 35%) were consulted and interviewed to collect the information. Plants were grouped under 12 categories of aliments and informant’s consensus factor about usage of medicinal plants ranges from 0.72 to 0.97 with an average value of 0.91. The study reveals that 16 plantspecies show high fidelity level. These results will contribute to prepare further advance research in medicines
HISTOENZYMOLOGICAL OBSERVATIONS ON ACID PHOSPHATASE ACTIVITY IN THE OESOPHAGUS OF HGCL2- TREATED FISH, LABEO ROHITA
Authors: . Dhirender
Published: January 2024

Present studies incorporate gullet-toxic effects of HgCl2 on the relative distribution of acid phosphatase activity in the oesophagus of fish, Labeo rohita. It was observed that there appears to be slightly decreased ACP activity accompanied by histolytic changes in the columnar epithelial cells lining of mucosal villi and glands of the oesophagus of treated herbivorous fish. However, in control, these changes were invisible.
DEVELOPMENT OF METHOD FOREXTRACTIVE SPECTROPHOTOMETRIC DETERMINATION OF COPPER(II) WITH N-BENZOYL THIOUREATHIOSEMICARBONZONE(MAAPHE) AS AN ANALYTICAL REAGENT
Authors: CHANDRA MRINAL
Published: January 2024

TheA simple, rapid and sensitive spectrophotometric method has been developed for the determination of Cu (II) by using N-BenzoylThioureathiosemicarbazonesynthesized and characterized by elemental and analysis. MAAPHE extractsCu(II) quantitatively(99.5%) into chloroform from an aq. solution of pH range 5.5-6.5 . The chloroform extract shows an intense peak 450nm (max). Beer’s law is obeyed over the Cu(II) concentration range 0.1-4.2 μg/ml. The Sandell’s sensitively and molar absorpitivity for Cu-MAAPHE system is 0.00252μg cm-2 and 25700 L/mol/ cm respectively. The composition of extracted species are found is 1:2 (Cu:MAAPHE) by Job’scontinuous variation and mole ratio method. Interference by various ions has been studied. The proposed method hasbeen successfully applied for determination of Cu(II) in alloy
STRESS AND JOB SATISFACTION IN EMPLOYEES WITH TYPE- A AND TYPE- B PERSONALITY
Authors: Khanna Hema , Singh Poonam , Sarraf Seema Rani , Gola Shikha
Published: January 2024

The management of employee at work is an integral part of organization. Stress at job place is a relatively common phenomenon factor that threatens to disturb the person’s equilibrium. Prolonged stress induced many physical and mental health issues, which becomes costly to the management in the terms of time lost due to frequent absence and increased payments towards medical reimbursement. Personality always plays a critical role in perception of stress and satisfaction towards job. So present study tried to explore stress and job satisfaction in employees with A and B personality type. Significant differences were exhibited between the employees with Type A and Type B personality regarding stress and job satisfaction. No gender differences were noted for stress in employees with Type A and Type B personality while male employees with Type A and Type B personality were found more satisfied in comparison to female employees. So, we can partially accept the null hypotheses
FURADAN EFFECT UPON HISTOPATHOLOGY OF OVARY IN THE FRESHWATER FISH Channa punctatus (Bloch)
Authors: . Tulika
Published: January 2024

The furadan exposure with sub-lethal concentration affects upon ovary of freshwater fish, Channa punctatus were investigated. There ovary morphology and anatomy changed in minor and major exposure resulted as reduction in size of mature oocytes, disruption, vacuolization in cytoplasm in acute and complete loss of normal configuration of ovary, necrosis, elongated ovarian follicles, and fragmented ova with abnormal shape under chronic exposures during chronic exposures observed during study period.
SEASONAL ZOOPLANKTON COMMUNITY STRUCTURE OF SHATIYA WETLAND IN GOPALGANJ DISTRICT OF BIHAR
Authors: Kumar Dharmendra , Jawed Equabal
Published: January 2024

The selected sites of Shatiya wetland were studied for a period of one year for regular physico-chemical parameters andzooplankton community structure. This study is related to seasonal variation in zooplankton populations. There community consist o8Cladocera, 03 Copepoda and 02 rotifera and 01 ostracoda species in which cladocerans were dominant throughout the study period. There changes in quantitative and qualitative community structure were found directly correlated with abiotic factors during study period.
BIOLOGY OF SUGARCANE LEAFHOPPER UNDER LABORATORY AND FIELD CONDITIONS
Authors: Kumar Nikendra
Published: January 2024

There are several sugarcane insects in which Pyrilla perpusilla recently emerged as a challenge for farmers and researchersto control infestation in sugarcane fields. This pest causes stunted growth and also loss of sugar content in infected fields. The pestbiology showed different periods in laboratory and field conditions during study period. This comparative study in laboratory and natural condition showed that field conditions are more favorable to their reproduction, growth and survival.
NITROGENOUS FERTILIZATION LEVELS AND ROOT MYCORRHIZAL COLONIZATION ON PLANT GROWTH AND PRODUCTIVITY IN WHEAT CROPS
Authors: Singh Basant Narain
Published: January 2024

In a two-year study (2002-2003), mycorrhizal treatments in conjunction with three nitrogen fertilization levels of 0, 50, 100 kg of N/hawere tested on durum wheat in continuous cropping. The study took place in the Province of Foggia, a semi-arid area of the Mediterranean Basin in southern Italy, with silty-clay soil classified as Typic Chromoxerert. Seeds of cultivar Simeto were inoculated at sowing, and a completely randomized block design with three replications with and without inoculation was adopted. Plant samples were taken during the vegetative cycle of the durum wheat, and the root mycorrhizal colonization was examined. In all treatments,the percentage of colonised root length was significantly higher in the inoculated plants than it was in the control. The plants inoculated and fertilized with 50 kg N/ha showed a significant increase in grain yield.
BIOMASS AND PRODUCTION IN HERBACEOUS LAYER OF SUBTROPICAL FOREST AT DEHRADUN, UTTARAKHAND, INDIA
Authors: SHARMA N.K , JOSHI S.P , JOSHI VISHAMBER
Published: January 2024

The present study is an attempt to study biomass and production of herbaceous layer in a sub-tropical forest dominated by Sal tree at Dehradun. The aboveground biomass collected at monthly interval recorded two peaks (September, April) with 126.9 gm–2 and 60.8 gm–2 in study site I. ANP ranged between 66.9 gm–2yr–1 to 73.6 gm–2 2yr–1 whereas TNP recorded for the study was in the range of 1.1 tha–1 to 1.2 tha–1.
Development of digital twin for PMDC motor control loop
Authors: P. P Pravin , Arunshankar J.
Published: January 2024

Recent developments in the digital domain can reduce the resources needed for efficient plant control. The growth of cloud computing and big data analysis has paved the way for using digital domain as processing units. Metaverse is the animated version of the physical realm in digital domain. The control mechanism and dynamics of the real-world data cannot be manually fed to the digital domain. The real plant can change its dynamics during its operation which the previously modeled mathematical model cannot address. So, the model for the system needs to be developed by its own and it need to be adaptable. This can be done by implementing the digital twin. In this work, a nonlinear Auto Regressive Exogenous model captures the dynamics of a PMDC motor. A model predictive approach is used to control the PMDC motor, which uses updated model to predict the response and generate the desired control input.
EAM: Enhanced authentication method to ensure the authenticity and integrity of the data in VM migration to the cloud environment
Authors: Selvaraj Raja , Sundari Manikandasaran S.
Published: January 2024

Cloud is a prominent technology today to provide computing resources to users. In previous days, industries or enterprise users are maintaining their data on-premises. Therefore, it creates many management issues in the industries. Cloud gives solutions to industries to maintain their data in the cloud data center. As a result, many industries are outsourcing their data to the cloud. When outsourcing, the data are migrated along with Virtual Machines (VM). During the migration, the data are vulnerable to attack. As a result, the data may tamper with fault content by the adversarial. Therefore, it is necessary to maintain data authenticity and integrity verification during the migration. This paper proposes an authentication mechanism to verify the data authenticity when migrated from on-premises to off-premises. The paper proposes a novel procedure to migrate the data in the virtual machine. After migration, the data is verified for authenticity using the proposed mechanism. An enhanced hashing procedure is proposed in the paper to verify the data authenticity. The proposed authentication mechanism is simulated in the cloud environment, and results are given in the tables and graphs. The results show that the EAM efficiently provides authentication and integrity of data migrated from on-premises to the cloud data center.
Assessment of antioxidant activity and phytochemical screening in leaf extract of Andrographis paniculate (Burm. f.) nees
Authors: Bhatnagar Anju
Published: January 2024

Fresh Andrographis paniculata leaves were collected from a local herbal garden, Dehradun and leaves extract was prepared in methanol and ethanol solvent. The free radical scavenging activity of A. paniculata extract against 2,2-Diphenyl-1-picrylhydrazyl (DPPH) and and hydrogen peroxide (H2O2) radical was determined with UV-vis spectrophotometer. The IC50 value of methanolic and ethanolic extract of the plant in DPPH was 394.81 and 401.46 μg/mL, while in vitamin C was 285.69 μg/mL. However, the IC50 value of the hydrogen peroxide (H2O2) radical for methanolic extract was higher, 399.52 μg/mL than for ethanolic extract, 412.95 μg/mL. In conclusion, methanolic plant extracts were most potent against 50% inhibition and IC50 value and showed a good correlation with total phenolics content. Phyto-chemical analysis of the plant shows the presence of alkaloids, phenols, amino acids, flavonoids, saponins, steroids, and tannins. A. paniculata has strong antioxidant potential and contains a range of phytochemicals. Therefore, its effectiveness as a medical plant is due to the presence of various phenolics and antioxidant compounds in the plant.
An evaluation of the impact of lean management practices on patients’ satisfaction at a small healthcare facility
Authors: . Tarannum , Pandey Anuja , Rauthan Arti
Published: January 2024

The study aims to find the impact of Lean Management Practices on Patients’ Satisfaction in a Small Healthcare Facility. The selected sample size of the study is 229. The researcher has used primary data in this investigation. The researcher uses Interviews, questionnaires, and experiments to acquire primary data directly through primary sources in the study. The interview schedule and substance of the question are created with the study’s goal in mind. ANOVA, SPSS tool, and Regression Analysis technique are used in the study. According to the research, lean adoption in healthcare enhances patient satisfaction at small medical facilities. People are central to every efficient lean healthcare system, and their goals and motivations drive change.
Sustainable healthcare AI-enhanced materials discovery and design for eco-friendly and biocompatible medical applications
Authors: Iftikhar A. Tayubi  , Mayur D. Jakhete  , Spoorthi B. Shetty  , Ashish Verma  , Mohit Tiwari  , S. Kiruba
Published: January 2024

The present investigation explored the artificial intelligence (AI) applications in energy harvesting and sustainable healthcare materials. The process combines the creation of illustrative data with a rigorous assessment of the literature to understand the potential of AI in various disciplines. The ensuing data visualization highlights the prominence of artificial intelligence (AI) in material innovation and clarifies the ubiquity of biocompatible, sustainable, and advanced materials in the healthcare industry. The study analyses trade-offs between bias and variance in AI models for energy harvesting, illustrating the dynamic link between mistakes and model complexity. The research proceeds on to provide Artificial Intelligence (AI) solutions for PENG and TENG nanogenerators, outlining their uses in the phases of analysis, design, manufacture, and application. The findings highlight the growing importance of AI-enhanced materials in the healthcare industry and stress a steady transition to sustainability and biocompatibility. The results highlight that AI has the ability to completely change materials research and improve energy harvesting devices. The study highlighted the crucial role AI plays in developing sustainable healthcare materials and creative energy collecting techniques.
Multistate modeling for estimating clinical outcomes of Covid-19 patients
Authors: V Deneshkumar , R Jebitha , G Jithu
Published: January 2024

The severity of COVID-19 is often associated with severe pneumonia requiring intensive care unit (ICU) without Ventilation and ICU with ventilation. Clinical outcomes depend on the length of the ICU and the duration of the states. It is difficult to estimate how many people will experience each of these outcomes (discharge, death) due to the time dependence of the data and the potential for multiple events. Because of their time dependence, potential multiple events, and competing, terminal events of discharge, alive and death, estimating these quantities statistically is challenging. The main objective of this paper is to study the time-dependent progress of COVID-19 patients through the multistate approach with hazard rates and transition probabilities. The methodology allows for the analysis of active instances by accommodating censoring and the probability plots offer comprehensive information in a straightforward manner that can be easily shared with decision-makers in healthcare capacity planning
Features of diagnosing ovarian tumors in women of pre- and postmenopausal age
Authors: Isroilovna Tursunova N. , Almuradova Dilbar M. , Talipov Orifjon A.
Published: January 2024

Currently, one of the main ways to fight cancer, which can improve the results of treatment of ovarian neoplasms, is screening. Presently, the issue of organizing and conducting preventive examinations of women, including those of reproductive age, is one of the most urgent problems of primary health care institutions. The subjects of the study were 168 pre- and postmenopausal patients aged 20 to 60 years with ovarian tumors suspected of oncological pathology, who received treatment on the basis of the Tashkent city branch of the Republican Specialized Scientific and Practical Medical Center of Oncology and Radiology for the period from 2018 to 2022, taking into account the selected age interval. An assessment was made of laboratory research methods, such as: general blood count, biochemical blood test, general urinalysis, tumor-associated marker CA-125, HE-4. In the comparative analysis of risk factors, when ovarian tumors develop in pre- and postmenopausal women, malignant and borderline ovarian tumors have complaints, parity, gynecological anamnesis, and the presence of extragenital diseases, which do not have specific characteristics for malignant or borderline tumors. therefore, it does not provide sufficient information in the process of diagnosing ovarian tumors. The sonographic characteristics associated with the degree of ovarian tumor malignancy were examined, and the tumor had a solid component (p <0.001), the presence of obstructions (p = 0.0005), and the presence of growth on the inner surface of the capsule (p <0.001), the presence of a significant amount of free fluid in the pelvic cavity (p <0.001), the roughness of the surface of the tumor capsule (p < 0.001) were observed to be characteristic of more dangerous processes.
Researching brain-computer interfaces for enhancing communication and control in neurological disorders
Authors: Rathore Nisha , Acharjee2 Purnendu B. , Thivyabrabha K. , P Umadevi , Ingle Anup , Davinder kumar
Published: January 2024

The paper provides a comprehensive exploration of brain-computer interfaces (BCIs) and their application in addressing communication and control challenges in neurological disorders like Amyotrophic Lateral Sclerosis (ALS), locked-in syndrome, Parkinson’s disease, and Spinal Cord Injury. It traces BCI advancements from foundational information theory principles to their current state. Neurological disorders severely impact communication and control abilities, with ALS causing muscle weakness and paralysis, and locked-in syndrome confining individuals within paralyzed bodies while maintaining cognitive functions. BCIs decode brain signals, enabling control of external devices like computers, offering hope for restoring communication and control in affected individuals. Employing data analysis and visualization techniques, this study evaluates BCI performance in improving communication and control across various disorders. Matplotlib generates informative graphs and performance metrics, quantifying BCI efficacy for users with differing motor impairments. The findings highlight BCI transformative potential, guiding clinicians and researchers toward personalized solutions for diverse patient populations. This research underscores the necessity for continued innovation and exploration in BCI technology, envisioning a more inclusive and adaptive future for individuals with neurological disorders
Impact of rheumatoid arthrtis on functional limitations of wrist and hand
Authors: Vispute Ankeeta , Vasaya Muskaan , Deshpande Sagar
Published: January 2024

Background:  Rheumatoid arthritis is associated with various wrist and hand deformities and malalignment, this makes activities of daily living difficult to perform. Identification of these functional limitations in early stages is imperative as it can change the course of the disease and prevent further deterioration of the joints.
Results:  On an average 38.5% subjects reported affection in their overall hand functions, 50.7% subjects reported difficulty in performing activity of daily living, 82.5% subjects reported disturbance in their work performance.
Conclusion: The study of functional limitations of wrist and hand in rheumatoid arthritis is an important step forward to understand the disease in different stages and its impact on wrist and hand functional limitations to effectively start early physiotherapy rehabilitation to prevent the progression of disease as well as treat signs and symptoms too.
Effect of Aloe vera gel versus olive oil in the prevention of pressure ulcers among bedridden patients: A pilot study
Authors: Thapa Rajni , Devasirvadam S. Victor
Published: January 2024

Given the high occurrence of pressure ulcers in healthcare settings, this research sought to determine the efficacy of using Aloe vera gel or olive oil to prevent them in bedridden patients. Nurses often work long hours to avoid pressure ulcers, making it critical to investigate alternate remedies. Previous research revealed that Aloe vera gel and olive oil might accelerate pressure ulcer healing by lowering microbial presence and maintaining skin integrity, making them possible preventative strategies. The research included thirty volunteers who were randomly assigned to one of three groups: Aloe vera gel, olive oil, or regular skincare. Over an 11-day period, the efficacy of each therapy in avoiding pressure ulcers was measured using the EPUAP (European Pressure Ulcers Advisory Panel) and Braden scales. Although direct comparison between the two treatment groups was restricted due to the small sample size, the Aloe vera gel and olive oil groups revealed a considerably decreased incidence of pressure ulcers compared to the control group. In conclusion, using olive oil and Aloe vera gel to the skin of bedridden patients showed promise in lowering the incidence of pressure ulcers. More study is needed to validate these results and make herbal treatments essential to preventative skincare practices for skin disorders in hospital settings.
Algebraic properties of periodic points to the additive cellular automata
Authors: Kumar L.P. , Kumar Vajha S.
Published: January 2024

This paper characterizes the periodic points of additive cellular automata such as, arbitrary union and arbitrary intersection, relationship between periodic sets  and existence of additive cellular automata with  cardinality of periodic points one and two and existence for higher cardinality more than two
Exploring real-time patient monitoring and data analytics with IoT-based smart healthcare monitoring
Authors: Nilesh M. Patil  , P M. Krishna  , G. Deena  , C Harini  , R.K. Gnanamurthy  , Romala V. Srinivas
Published: January 2024

This research study endeavours to explore the dynamic temporal variations in patient health parameters, specifically heart rate, temperature, and Systolic Blood Pressure (SBP), within the context of a synthetic patient dataset. The analysis of heart rate data revealed distinct patterns of temporal variation, characterized by cyclic fluctuations within each hour and an overall increasing trend over the observation period. These findings Highlights the influence of circadian rhythms, potential associations with physical activity and stress, and the broader physiological implications for patient health. The examination of temperature data exhibited analogous cyclic patterns and an increasing trend, prompting considerations of circadian rhythms and external factors such as environmental temperature and physiological health. Conversely, SBP data demonstrated fluctuations without a discernible trend, highlighting the complex nature of blood pressure regulation and its susceptibility to a myriad of physiological and external influences. This study provides a foundational understanding of patient health parameter dynamics and emphasizes the need for more extensive research to elucidate the underlying mechanisms and clinical implications. The insights gleaned from this investigation hold the potential to inform healthcare practitioners and researchers in the realms of patient monitoring and personalized healthcare, ultimately enhancing the quality of patient care and decision-making in clinical settings.
Solving neutrosophic multi-objective linear fractional programming problem using central measures
Authors: Kumar N. Suresh , Assarudeen S.N.Md.
Published: January 2024

In this article, we present different kind of mean technique to solve Multi-Objective Linear Fractional Programming Problem (MOLFPP) in Neutrosophic Environment. Here in these mean techniques the MOLFPP is converted into Single Objective Linear Programming problem(SOLPP) and then we obtained the optimal solution by simplex method in Neutrosophic Environment. The proposed method is illustrated with the help of a numerical example.
Application of artificial intelligence on human resource management in information technolgy industry in India
Authors: Bhakuni Seema
Published: January 2024

Artificial Intelligence is a term for a technology that is used to do a job that needs intelligence. It is a technology designed to do what a person could do. Today’s organizations have changed a lot because of Artificial Intelligence. Not just one part of the organization but all of its functions and how it affects human resource management must be looked at separately, especially since this is where most people work. This study looks into how artificial intelligence can handle human resources in India’s IT (Information Technology) business. This study looks at what makes AI-driven HRM practices in the Indian IT business work the way they do. The researcher has collected secondary sources like journal articles, study papers, dissertations, and reports from different IT companies related to AI in HR. Information is gathered from individuals who work in IT organizations’ human resources offices. The results show that Artificial Intelligence is young regarding recruitment, and only a few companies use it for human resource management. The main benefits of AI are speed, quality, and the removal of routine jobs. On the other hand, the biggest problem is that businesses are only sometimes ready for new technologies.
Experimental evaluation of artificial intelligence assisted heart disease prediction using deep learning principle
Authors: S Deepa , T Sripriya , M Radhika , J Jeneetha J.
Published: January 2024

The system for detecting cardiac illness utilizing Artificial Intelligence (AI) and deep learning algorithms is the main topic of the study. Researchers demonstrate how artificial intelligence can be used to forecast if someone would get cardiac disease. The goal of this work is to create an artificial intelligence system that can detect cardiac problems using machine learning. Diagnose, risk stratification, and management are essentially some of the essential thinking-intensive elements of healthcare that have been automated due to the creation of Artificial Intelligence along with information science, reducing the burden on doctors and lowering the risk of human error. Clinical decision-support platforms frequently employ artificial intelligence approaches for accurate disease prediction and diagnosis. Considering the health history of the individual, we developed a system to determine if a heart disease diagnosis is likely or not for the patient. In order to demonstrate the effectiveness of the suggested strategy, this research established a revolutionary deep learning-based cardiovascular disease diagnosis logic called Efficient Learning based Health Evaluator (ELHE). It is cross-validated with the traditional deep learning model known as Artificial Neural Network (ANN). Many people with cardiovascular disease have the same blatant warning signs that may be used to make a diagnosis. A scheme of detection built around these risk indicators would benefit healthcare providers as well as patients by alerting them to the potential for heart disease before they enter a hospital or undergo pricey diagnostic tests. Finally, the popular learning-oriented tool Python is used to create the recommended prediction logic known as ELHE, which allows the user to input clinical information and understand the present state of a patient's health. This strategy improves healthcare while lowering the cost of treatment. For the medical professional, this technology will serve as a promising tool for accurate diagnosis.
Enhanced routing strategy of wireless sensor network based on fifth generation communication technology
Authors: P. Pattunnarajam  , G Janani , A. Vijayaraj  , S Sathiya Priya
Published: January 2024

5G, or Fifth Generation Innovation refers to the most recent version of handheld devices communication in the field of wireless communication. Assessments pertaining to the subject of wireless communication are provided in this particular piece of writing. At each stage of progress, a variety of obstacles had to be overcome, but with the assistance of contemporary wireless networks, those obstacles were conquered. When compared to all of the other wireless networks that have come before it, 5G is the only one that offers a capability for high-speed internet access anytime, wherever, and to anybody. 5G is a little bit different owing to the fact that it has certain innovative functions, such as managing gadgets, materials and processes as well as networking individuals. The 5G wireless network will deliver varying degrees of performance and capabilities, which will result in new user experiences and the connection of new businesses. Compliantly providing service-customized communications to a broad range of services via interconnected internet reserves and aerial/wired networking assets, which may be offered by different infrastructure suppliers and/or operators, will be one of the primary goals for subsequent 5G wireless networks. This will be accomplished as one of the basic goals of prospective 5G wireless networks. Recent years have seen the launch of a number of research works and initiatives aimed at laying the groundwork for the technological foundation of 5G mobile communications. These endeavors involve major mobile infrastructure manufacturers, academic institutions, and international mobile network operators. However, the 5G mobile services that will be made accessible for usage, as well as their design and performance, have not been explicated in a clear and concise manner. In this article, we offer a comprehensive review of 5G, the wireless communication system that will replace 4G in the near future.
Cost-based resource allocation method for efficient allocation of resources in a heterogeneous cloud environment
Authors: Edavalath Sheena , Sundaram Manikandasaran S.
Published: January 2024

Cloud computing is appealing due to features like adaptability, portability, utility service and on-demand service. Cloud resource providers are a source of computing, and each provider delivers different types of resources. In an active cloud environment, timely resource allocation is more important. In order to increase the effectiveness and user-friendliness of resource allocation in the heterogeneous cloud, the paper suggests an efficient cost-based resource allocation (ECRA) method and framework. In the heterogeneous cloud, there is no centralized resource allocation manager (CRAM) to get all requested resources from a single counter. The proposed methodology for allocating resources divides them according to their cost. The paper’s framework for allocating resources consists of various parts. The Unified Heterogeneous Resource Allocation Manager (UHRAM) part of the framework collects and manages resources from several cloud resource providers. The resource identifier is one of the components in the framework, which is coupled to UHRAM to determine the cost of the resources. The low-cost resources are scheduled and to be in a ready state for allocation. The proposed ECRA is simulated and compared based on parameters like total computation time, response time and resource allocation percentage with existing resource allocation methods. The results prove that the proposed ECRA is efficient in allocating the resources in minimum response time and it allocates maximum resources for lower cost.
An empirical study on the print suitability of hybrid modulated screen and digitally modulated screen in offset printing process
Authors: Vandana  , KUMAR PANKAJ , Jangra Vikas , Pandey Ambrish
Published: January 2024

DM Screening is the advanced stochastic screening. It combines the best features of other screening technologies like AM, FM, and XM and is compatible with heat-set, cold-set and sheet-fed offset presses. The aim of this research is to identify the print suitability of hybrid modulated screen (XM) and digitally modulated screen (DM) in the offset printing process on a coated substrate by comparing different quality parameters like SID, trapping, print contrast and dot gain. Coated sample sheets are printed with the same solid ink density by using XM and DM screening to make valid comparisons. Around 150 sheets are printed to achieve the target solid ink density value (+ 0.05) during printing. After the density values are attained in accordance with standard SID values, next 50 sample sheets are printed, measured and evaluated.
Impact of project financiers’ strategies on de-risking infrastructural projects: A conceptual review
Authors: Maliki Ashoke D. , Muritala Taiwo A. , George Saji , Ogedengbe Frank A.
Published: January 2024

Infrastructure projects encounter significant risks which often deter financiers from investing in them. To address these risks, financiers have developed and applied several strategies aimed at encouraging investment. Therefore, this study reviewed several literatures from the past ten years on the strategy used by both public and private financiers to reduce risks and encourage investment in infrastructure projects. From the literature reviewed, several strategies such as risk allocation & mitigation, blended finance, issuance of green bonds, and stakeholders’ engagement in project selection were utilized by major project financiers in making investment decisions. Other factors such as political stability, economic indicators, insurance & guarantees, and legal & regulatory framework were also identified to positively impact investment decisions on infrastructure projects. From the findings, a conceptual framework linking the project financiers’ proxies (risk allocation & mitigation, blended finance, issuance of green bond, and stakeholders’ engagement in project selection) to that of the proxies of de-risking (political stability, economic indicators, insurance & guarantees, and legal & regulatory framework) was developed with the outcome showing the positive impact of both proxies on project financiers’ investment decision. The magnitude of the impact of each proxy on investment decisions is a subject of future study.
Management education system in the 21st century: Challenges and opportunities
Authors: Patil Shripada , Jagdale Sandeep N. , Kalshetti Prashant
Published: January 2024

Management education in the 21st century is facing a dynamic and rapidly changing landscape, presenting both challenges and opportunities. It is characterized by its adaptability, technology integration, global orientation, emphasis on soft skills, and a commitment to ethical and sustainable business practices. It aims to produce well-rounded, agile, and socially responsible leaders who can navigate the complexities of the contemporary business landscape.
The objective of the present study is to study the present scenario of management education system in India and to identify the challenges and opportunities in front of education sector. The researchers have used descriptive research design for the present study. Non probability convenience sampling method is used for selection of sample size. The data is collected from 285 respondents, with the help of well-structured questionnaire using survey method. The results of this study will be helpful to management education institutes to develop their academic curriculum and future expansion.
Keywords: Students, Management Education, Opportunities, Challenges.