bluuebunny/crossref_metadata_2025 huggingface dataset:
Working Together for Health Equity: How a Multidisciplinary, Community- Engaged Partnership Reframed Our Understandings of Pittsburgh’s Maternal-Child Health Crisis
Authors: Appelt Cathleen J. , Simpson Andrew T. , Devido Jessica A. , Greenwald Sarah , Urban Brittany
Published: August 2024

From the unequal toll exacted by the COVID-19 pandemic to the brutal murder of George Floyd, the events of 2020 vividly demonstrated the catastrophic consequences of structural racism in the United States. As we consider what the future holds on the many fronts of the struggle for racial justice, we reexamine the ongoing maternal-child health (MCH) crisis in the United States by focusing on Pittsburgh, Pennsylvania, where Black families are affected at an even more alarming rate. We conducted multidisciplinary research to support our community partners’ proposal to initiate an MCH-related vocational program for adolescent girls in their community. Our partners’ creative assets–based approach to community emphasized agency, empowerment, and the reconnection of young Black women to a shared cultural history of maternal health wisdom (midwifery). In this paper we share how community engagement has helped us to reframe maternal-child health inequality as a social problem. We reflect critically on current academic explanations, assess empirical data at the national and local levels, and issue a broader call for action by academics, universities, and policymakers for which the first critical step is to rethink common assumptions about health.
Interview with Dr. Michael Brenes
Authors: Johnson Joseph
Published: August 2024

An interview with Dr. Michael Brenes from Yale University.
PENGARUH KUALITAS PELAYANAN MANASIK HAJI TERHADAP KEPUASAN JAMAAH HAJI DI KBIH AT-TAQWA KOTA TANGERANG
Authors: Amirudin Amirudin , Triantoro Renaldi Rio
Published: August 2024

The purpose of this study was to find out the Hajj ritual services at KBIH At-Taqwa Tangerang City in 2019 and to find out how much influence the quality of services provided by KBIH At-Taqwa had on the satisfaction of pilgrims. This study uses a quantitative approach method. The sampling used the Purposive Sampling technique with a standard deviation of 10% which resulted in 56 respondents from the population of Hajj pilgrims at KBIH At-Taqwa in 2019. The results showed that there was a significant relationship between the quality of Hajj ritual services and the satisfaction of the pilgrims shown. with a T value of 2,005. The correlation value is 0.860. The value of the coefficient of determination is 0.740 which shows that 74% of pilgrims' satisfaction has an effect on the quality of service at KBIH At-Taqwa, while the other 26%. how much influence the quality of service provided by KBIH At-Taqwa has on the satisfaction of pilgrims. This study uses a quantitative approach method. The sampling used the Purposive Sampling technique with a standard deviation of 10% which resulted in 56 respondents from the population of Hajj pilgrims at KBIH At-Taqwa in 2019. The results showed that there was a significant relationship between the quality of Hajj ritual services and the satisfaction of the pilgrims shown. with a T value of 2,005. The correlation value is 0.860. The value of the coefficient of determination is 0.740 which indicates that 74% of pilgrims' satisfaction has an effect on the quality of service at KBIH At-Taqwa, while the other 26% is influenced by other variable factors.
KINERJA PEGAWAI DALAM PELAYANAN PEMBATALAN HAJI DI MASA PANDEMI COVID-19 PADA KANTOR WILAYAH KEMENTERIAN AGAMA PROVINSI RIAU
Authors: Mastanah Mastanah
Published: August 2024

This study aims to determine the performance of employees in Hajj Cancellation Services during the Covid-19 Pandemic at the Regional Office of the Ministry of Religion of Riau Province. Riau. The study uses a qualitative approach, which carries out a research process that will create descriptive data in the form of writing from various sources, namely the Regional Office of the Ministry of Religion of Riau Province. The data collection technique is by observation, in the sense that the author examines directly the Regional Office of the Ministry of Religion of Riau Province, conducts interviews with employees who are authorized to cancel Hajj, such as the Head of the Hajj Registration and Documents Section, the Head of the Hajj and Umrah Organization (PHU), employees, and read the documents and information available on the website. From the results of this study, it was shown and explained that the performance of the employees of the Regional Office of the Ministry of Religion of Riau Province in the service of canceling the registration of prospective pilgrims had Standard Operating Procedures applied.
PENINGKATAN PENDIDIKAN KARAKTER DALAM UPAYA MEMBANGUN BUDAYA HUKUM YANG HUMANIS DAN RELIGIUS DI KALANGAN REMAJA
Authors: Zaman Ahmad Munawaru
Published: August 2024

Pendidikan karakter merupakan suatu sistem penanaman nilai-nilai karakter kepada warga sekolah yang meliputi komponen pengetahuan, kesadaran atau kemauan, dan tindakan untuk melaksanakan nilai-nilai tersebut, baik terhadap Tuhan Yang Maha Esa (YME), diri sendiri, sesama, lingkungan, maupun kebangsaan sehingga menjadi manusia insan kamil. Pendidikan karakter bertujuan untuk membentuk individu yang bermoral, berkepribadian yang baik, berakhlak dan bermartabat melalui sistem Pendidikan.Pengabdian Kepada Masyarakat ini dilaksanakan di SMK Mathlaul Anwar yang berlokasi di Jl. Raya Mauk Km.16, Buaran Jati, Kec. Sukadiri, Kabupaten Tangerang, Banten. Pengabdian kepada masyarakat ini dilaksanakan dalam rangka memenuhi kewajiban Tri Dharma Perguruan Tinggi. Pengabdian kepada masyarakat ini dilaksanakan oleh Dosen dan mahasiswa Program Studi Teknik Infirmatika, Fakultas Teknik Universitas Pamulang. Dosen dan Mahasiswa telah diberikan tugas sesuai perannya masing-masing.Saat ini tidak dapat dipungkiri angka kenakalan remaja semakin meningkat seperti penyalahgunaan narkoba dikalangan remaja, aksi tawuran, pergaulan bebas, dan lain-lain. Oleh karena itu, Pengabdian Masyarakat ini bertujuan untuk memberikan pemahaman siswa/siswi SMK Mathlaul Anwar tentang Pendidikan karakter agar para siswa dapat menjadi lulusan yang memiliki intelektualitas tinggi dan juga memiliki karakter kuat sehingga dapat mengimplementasikan karakter tersebut dalam kehidupan sehari-hari dalam rangka mendukung terciptanya budaya hukum masyarakat yang humanis dan religius.Pengabdian masyarakat dilakukan dengan metode penyuluhan, dimana tema penyuluhan yang diambil dalam kegiatan PKM ini adalah tentang peningkatan pendidikan karakter dalam upaya membangun budaya hukum yang humanis dan religius di kalangan remaja. Teknis penyuluhan dibagi atas dua bagian, yaitu melalui pemaparan materi dan tanya jawab/diskusi.Setelah kegiatan Pengabdian Kepada Masyarakat Ini diharapkan siswa/siswi SMK Mathlaul Anwar dapat lebih memahami tentang pentingnya karakter dalam kehidupan nyata sehingga mereka kelak akan menjadi pribadi-pribadi yang taat hukum dan memiliki jiwa humanis dan religius. Hasil kegiatan Pengabdian Kepada Masyarakat ini akan dipublikasikan dalam Jurnal dan akan dipublikasikan pada media online. Kata Kunci : Pengabdian Masyarakat, Pendidikan Karakter, Universitas Pamulang
MANAJEMEN PENDISTRIBUSIAN DANA ZAKAT PROFESI DI BAZNAS KABUPATEN PEMALANG
Authors: Niswah Uswatun
Published: August 2024

This study aims to find out how the management of the distribution of professional zakat funds at the National Amil Zakat Agency (BAZNAS) in Pemalang Regency. This is interesting to study because professional zakat occupies the first position in obtaining the most funds, although in practice, there are still government employees (ASN) who are late in paying zakat. The results of this study indicate that the management of the distribution of professional zakat funds at BAZNAS Pemalang Regency has implemented management functions such as planning, organizing, actuating, and also supervising. In its implementation, the supporting factors for the distribution of professional zakat funds at BAZNAS Kab. Pemalang is the support from the government and the community, the strategic location of the BAZNAS office, as well as the availability of UPZ in each agency which affects the acquisition of funds and their distribution. Meanwhile, the inhibiting factor for the distribution of zakat funds at BAZNAS Kab. In Pemalang, there are still many civil servants who are late paying zakat, lack of human resources in distribution activities, and the attitude of mustahik who are less able to use aid funds effectively. This research is a descriptive qualitative research. Data collection techniques were carried out through observation, interviews, and documentation. Meanwhile, in the analysis, it uses the model from Matwe G. Miles and Michael Huberman with the steps of analysis including data reduction, data display, and conclusion/verifying.Keywords: Management, Zakat Distribution, Professional Zakat, BAZNAS Pemalang Regency
STRATEGI PRODUK KAJIAN AFTERWORK MASJID AL LATHIIF BANDUNG
Authors: Syauqi Rasyid Ilyasa
Published: August 2024

Masjid Al Lathiif in Bandung is actively involved in religious and educational activities. The regular program called "Afterwork Study" is held every Monday night, covering topics such as business, motivation, daily life issues, and mental health. These sessions are conducted by experts in their respective fields. This research aims to describe the product strategy implemented by the mosque in the Afterwork Study program. Qualitative methods were employed, involving data collection through observation, interviews, and documentation. The findings reveal four effective product strategy points: 1) building a strong brand identity and brand equity, 2) thoughtful packaging with consideration for value impact, 3) a focus on delivering relevant and high-quality content, and 4) providing excellent services while creating a deep connection between participants and the program. This study is expected to contribute insights into the management and marketing of religious activities in a mosque.Keywords: Al Lathiif Mosque, Afterwork, Product Strategy
SUSTAINABILITY IN HAJJ AND UMRAH MANAGEMENT: EXPLORING ECO-FRIENDLY PRACTICES AND STRATEGIES
Authors: Rodiyah Rodiyah
Published: August 2024

This research explores the current sustainability practices in Hajj and Umrah management and identifies potential strategies and eco-friendly initiatives to reduce the environmental footprint of these large-scale religious events. hrough a comprehensive literature review, this study assesses the environmental impact of Hajj and Umrah, focusing on waste management, water conservation, and energy consumption. It also examines existing sustainability initiatives implemented by the Saudi government and other stakeholders and evaluates their effectiveness. The systematic literature review methodology includes determining research questions, identifying relevant sources, analyzing and synthesizing the literature, identifying gaps and opportunities, drawing conclusions, and making recommendations. The findings of this research contribute to the development of knowledge about sustainable Hajj and Umrah management and provide valuable insights for stakeholders involved in the planning and implementation of Hajj and Umrah, with the aim of reducing environmental impact
WEALTH MANAGEMENT SEBAGAI SOLUSI MANAJEMEN ASET WAKAF PESANTREN: ANALISIS IMPLEMENTASI DAN DAMPAKNYA TERHADAP KEMANDIRIAN FINANSIAL
Authors: Arief Zakiyanto , S Etty , Yuwono Minto
Published: August 2024

Tujuan dari penelitian ini adalah untuk mendeskripsikan dan menganalisis secara mendalam tentang manajemen aset berbasis wealth management dalam upaya meningkatkan pembiayaan pendidikan Pondok Pesantren Darunnajah, Ulujami Jakarta Selatan. Rumusan masalah yang dikaji secara mendalam meliputi 1) perencanaan aset berbasis wealth management dalam meningkatkan kemampuan pembiayaan pendidikan di Pondok Pesantren Darunnajah. 2) pelaksanaan pengelolaan aset berbasis wealth management dalam meningkatkan kemampuan membiayai pendidikan di Pondok Pesantren Darunnajah. 3) pengawasan aset berbasis wealth management dalam meningkatkan kemampuan membiayai pendidikan di Pondok Pesantren Darunnajah. Pendekatan penelitian menggunakan metode kualitatif. Teknik pengumpulan data menggunakan observasi partisipan, wawancara mendalam dan dokumentasi. Teknik analisis data yang digunakan adalah 1) analisis data kasus tunggal, 2) analisis lintas situs. Hasil penelitian yang telah dilakukan menunjukkan bahwa: 1) Perencanaan manajemen aset di pondok pesantren adalah perumusan rencana pengadaan lahan, pengembangan lini pendidikan dan unit usaha, partisipasi warga pesantren dan perlakuan terhadap tabungan dan pembayaran santri; 2) Pelaksanaan manajemen aset dilakukan dengan penambahan lahan, pendirian lini pendidikan baru, unit usaha, memperlakukan tabungan santri sebagai modal, atau melakukan kerja sama dengan bank konvensional; 3) Pengawasan dilakukan di tingkat unit usaha dengan materi dengan materi yang berfokus pada pengembangan dan kontribusi pesantren.
STRATEGI PENGELOLAAN MASJID AL-FATIHAH DALAM MENCIPTAKAN LINGKUNGAN IBADAH YANG NYAMAN
Authors: Laila Astuti Regi , Agus Fakhruddin Agus
Published: August 2024

Dalam upaya meningkatkan kualitas ibadah dan kenyamanan jamaah, Masjid Al-Fatihah telah menerapkan berbagai strategi pengelolaan lingkungan yang inovatif. Permasalahan yang kerap terjadi di lingkungan masjid adalah kurangnya kesadaran jamaah terhadap kebersihan serta keterbatasan sumber daya dalam pengelolaan masjid. Penelitian ini bertujuan untuk menganalisis strategi pengelolaan lingkungan Masjid Al-Fatihah guna menciptakan lingkungan ibadah yang nyaman dan bersih bagi jamaah. Penelitian ini menggunakan pendekatan kualitatif dengan metode deskriptif. Penelitian ini diperoleh menggunakan data primer melalui wawancara, observasi, dan dokumentasi dari takmir masjid dan jamaah dan data sekunder melalui jurnal, e,book dan sebagainya. Hasil penelitian menunjukkan bahwa Masjid Al-Fatihah telah menerapkan strategi pengelolaan yang meliputi perencanaan, implementasi, dan evaluasi. Keterlibatan aktif pengurus masjid dan jamaah dalam program kebersihan rutin berhasil meningkatkan kenyamanan serta kekhusyukan dalam beribadah. Meskipun demikian, masih terdapat tantangan dalam aspek fasilitas dan pengelolaan sumber daya manusia. Penelitian ini menyarankan adanya inovasi dalam manajemen masjid, termasuk penggunaan teknologi untuk meningkatkan efisiensi kebersihan.Kata Kunci: Sarana dan Prasarana, Kebersihan, lingkungan masjid
Efektivitas Strategi Pelayanan Prima Dalam Meningkatkan Minat Nasabah Pada Bprs Lantabur Tebuireng Cabang Mojokerto Jawa Timur
Authors: Pratiwi Laury Bondan , Sugiharto Sugiharto
Published: August 2024

Sharia banking is currently developing very rapidly, as evidenced by theestablishment of sharia-based financial institutions. The number of customersin an Islamic banking is determined by the merits of the services provided. Thepurpose of this study was to determine the prime service strategy at BPRSLantabur Tebuireng Mojokerto Branch. This study uses a qualitative approachwith a descriptive type of method, namely research that describes data andinformation based on facts obtained from BPRS Lantabur Tebuireng,Mojokerto Branch. The data collection technique used in this research is by  collecting data in the form of observation, interview and documentation. Meanwhile, the data analysis used in this writing is an interactive analysis model, namely dividing activities into four, namely data collection, data reduction, data presentation and drawing conclusions or data verification. Perbankan syariah saat ini berkembang begitu sangat pesat terbukti denganberdirinya lembaga keuangan yang berbasis syariah. Banyaknya nasabah padasuatu perbankan syariah di tentukan oleh baik buruknya pelayanan yangdiberikan. Tujuan dari penelitian ini yaitu untuk mengetahui strategi pelayananprima di BPRS Lantabur Tebuireng Cabang Mojokerto. Penelitian inimenggunakan pendekatan kualitatif dengan jenis metode deskriptif yaitupenelitian yang menggambarkan data dan informasi berdasarkan fakta-faktayang diperoleh dari BPRS Lantabur Tebuireng Cabang Mojokerto. Teknikpengumpulan data yang dilakukan dalam penelitian ini yaitu dilakukan denganpengumpulan data berupa observasi, wawancara dan dokumentasi. Sedankananalisis data yang digunakan penulisan ini adalah sebagai model analisisinteraktif yaitu membagi kegiatan menjadi empat yaitu pengumpulan data,reduksi data, penyajian data dan penarikan kesimpulan atau verifikasi data.
Implementasi Fungsi Actuating Dalam Pembinaan Santri di Pondok Pesantren
Authors: Niswah Uswatun , Setiawan Muhammad Rizal
Published: August 2024

This study aims to determine how the implementation of the actuatingfunction in fostering santri in Islamic boarding schools. The researchreported in this article employed a descriptive qualitative approach withinductive analysis techniques. Data was collected through observation,interview and documentation techniques. The results of the research indicatethat the "Ma'hadul Islam Sarean Kaliwungu" (MISK) Islamic BoardingSchool provides guidance to santri through several activity programs, one ofwhich is the "Jamiyah Jumat Malam" activity. Where in the skill aspect of thesantri are to be fostered and developed so that they possess the ability andaxpertise in broadcasting Islam in the community. The implementation of the  actuating function as an effort to foster santri at the MISK Islamic Boarding School is carried out in several ways, namely providing motivation, providing guidance, establishing relationships, organizing communication and developing or improving implementers. Penelitian ini bertujuan untuk mengetahui bagaimana implementasi fungsiactuating dalam pembinaan santri di pondok pesantren. Jenis penelitian yangdilakukan merupakan penelitian kualitatif deskriptif dengan teknik analisisinduktif. Pengumpulan data dilakukan melalui teknik observasi, wawancaradan dokumentasi. Hasil penelitian menunjukkan bahwa Pondok Pesantren“Ma’hadul Islam Sarean Kaliwungu” (MISK) melakukan pembinaan kepadasantri melalui beberapa program kegiatan, salah satunya adalah kegiatan“Jamiyah Jumat Malam”. Di mana dalam kegiatan ini aspek yang hendakdibina dan dikembangkan adalah aspek keterampilan santri agar memilikikemampuan dan keahlian dalam mensyiarkan agama Islam di masyarakat.Implementasi fungsi actuating sebagai upaya pembinaan santri di PondokPesantren MISK dilakukan melalui beberapa cara yaitu pemberian motivasi,pemberian bimbingan, menjalin hubungan, menyelenggarakan komunikasidan pengembangan atau peningkatan pelaksana.
IMPLEMENTASI TEORI POLA BINA PADA MAJELIS TAKLIM DENGAN PENDEKATAN ILMU MANAJEMEN
Authors: Khadijah Khadijah
Published: August 2024

The phenomenon that can be seen today is that the Taklim Assembly (MT) does not yet have a systemic methodology framework. The activities carried out by MT movers are limited to what they are. However, MT has contributed to the spread of Islam, that is why it is necessary to continue to strive so that the role of MT is increasingly optimal in the propaganda movement in the middle of the digital era. The implementation of management in the MT can be believed to be able to contribute to the progress of Islam, as exemplified by the Prophet Muhammad who successfully cadreed his friends (sahabat) into reliable preachers. The name of the management was not yet present, but practically the management content had already been applied. Only in the 20th century (Henry Fayol) management science was born.The strength of management science lies in how to organize and manage the institution so that it is effective and efficient so that it is achieved according to plan and its success can be measured. Along with the development of MT, it is not enough to just use management science, this science becomes an instrument as an approach to bridge the Theory of Development Patterns ( Teori Pola Bina, PB) that are considered more in line with the needs of MT, a theory that the authors found when conducting research to write a dissertation at the level S3 education at the State Islamic University (UIN) Syarif Hidayayullah, Jakarta. PB theory is loaded with meaning, both deductively and inductively to become a scientific methodology building on the dimensions of ontology, epistemology and axiology with the structure of institutional development, cadre formation, teaching materials / materials, creative economic empowerment, friendship (net working) and evaluation. This study uses a qualitative methodology of a type of research whose findings are not obtained through statistical procedures or other forms of calculation. the main source of this research is the library research (library research) with reference to the management literature, preaching book 2 and Islamic scholarship.Keywords : Majelis Taklim, Management, Majelis Taklim Resources and Theory of Development Patterns
OPTIMALISASI WAKAF BERBASIS AGRIBISNIS DI LINGKUNGAN PONDOK PESANTREN SEBAGAI UPAYA MENUJU KEMADIRIAN EKONOMI UMAT (STUDI KASUS PONDOK PESANTREN SE-JAWA TIMUR)
Authors: Husin Ahmad
Published: August 2024

Pondok Pesantren is an institution that is attached and becomes an inseparable part of the social system of Islamic society in Indonesia. The social role that is owned by pesantren until now continues to survive and still contributes a lot in people's lives. The resources owned by pesantren are very strong social capital to carry out its role as an institution that is tasked and responsible for forming a civil society in accordance with Islamic law. Religious institutions such as pesantren, as well as other non-governmental organizations, are potential institutions that so far have not played a direct role in the development of agriculture or agribusiness in rural areas. This study aims to create a model for optimizing the role of pesantren through empowering students and the community by prioritizing the potential of waqf-based agribusiness in East Java as a leading sector. This study uses a qualitative descriptive method with interpretation of observations. The collection method uses observation and literature study techniques. The result of this research is a synergy model for optimizing the role of Islamic boarding schools in community empowerment through sharia economics as a solution to achieve economic independence. Keywords: Islamic Boarding School, Agribusiness, Waqf, Sharia Contract
Monitoring airborne pathogen transmission for enhanced safety at food processing facilities
Authors: King M.D.
Published: August 2024

Food manufacturing and processing are part of the nation's critical infrastructure. Due to the recent global spread of the SARS-CoV-2 virus, the potential contamination of the food chain and the resulting public health implications are of high consequence to society. The current primary food manufacturing and processing facilities already have various mechanisms such as hazard analysis and critical control point (HACCP) system in place. However, the widespread microbial infections in these facilities raise concerns that they will not only threaten the welfare of food processing workers, but also have a potentially greater consequence on the public if the food is contaminated with an infectious agent.

Despite the increasingly recognised role of the environment in the spread of microbes, the effect of air properties remains poorly understood. Heating, ventilation, and air conditioning (HVAC) systems in meat processing facilities not only provide a means of transport for viruses and bacteria but may also deposit them on surfaces where they can survive for days. To maintain a stable and safe food chain supply during the pandemic, the challenges to ensure safe food supply and protect the workers' health must be quickly addressed through sustainable, safe and economic approaches. With these two imminent challenges in mind, the overall goal of this review article is to provide a comprehensive overview of the role of the environment in the impaction and resuspension of bioaerosols, focusing on airborne bacteria and viruses. The review includes the latest results of modeling the spread of microbial aerosols in the airflow and the development of preventive measures to mitigate virus contamination in the unique environment of meat processing operations. By understanding how the environmental factors and seasonality affect the infectivity and spread of airborne pathogens, mitigation measures can be designed to minimise future infections within and beyond these facilities.
New record and range extension of Scarthyla goinorum Bokermann, 1962 (Amphibia, Hylidae) from Ouanary, French Guiana
Authors: Premel Vincent , Villette Benoit , Ferrieux Thibaut , Piolain Julien
Published: August 2024

French Guiana is a French overseas territory located in northern South America. Here we report the first record of Scarthyla goinorum (Bokermann, 1962) from this territory, which represents a range extension of 450 km northward from the nearest previously known occurrence in Amapá state, Brazil. This is also the first occurrence outside the Amazon Basin and indicates the ability of the species to disperse efficiently to other watersheds possibly via floating rafts drifting along the coast.
Tradução de Tissā do Therīgāthā:
Authors: Moraes Azevedo Maetsuka Thaís
Published: August 2024

Este estudo faz uma tradução do verso em pāli de Tissā do Therīgāthā, investigando a interpretação das mulheres no budismo da tradição Theravāda e seus textos em pāli. Utilizando uma abordagem comparativa, o trabalho examina as traduções do verso de cinco autores religiosos e pesquisadores da área, a fim de verificar possíveis variações interpretativas e suas implicações. O objetivo é observar como a tradução pode influenciar a percepção do feminino e destacar a relevância do contexto histórico-cultural de desenvolvimento desta tradução budista e seus textos. Em um contexto religioso seriamente marcado por desigualdade de gênero, a presença destas perspectivas pode desafiar interpretações históricas tendenciosas e enriquecer o entendimento. Em um país pouco influenciado pela tradição budista já muito patriarcalizada, a tradução do pāli para a língua portuguesa destes textos, pode oferecer uma chance de revisitar e reformular compreensões de gênero nesta tradição religiosa.
AMARANTH
Authors: Fadeev L.
Published: August 2024

The materials of the article provide a historical reference to the emergence and agronomic characteristics of amaranth. Today, more than 100 species of amaranth are known in the world. In Ukraine, amaranth began to be grown in 1989-1992. The yield of amaranth green mass can be more than 100 t/ha. Amaranth grain yield in Ukraine ranges from 25 to 40 centners per hectare. The chemical composition of amaranth grain and its processing products: amaranth oil, flour, grits was analyzed. The issues of using amaranth grain and its processing products in the bakery, meat, animal feed and pharmaceutical industry are considered. The main value of amaranth flour is the presence of protein and essential amino acids. Amaranth flour contains: 3.8 times more proteins than wheat flour, 9.4 times more lipids, 17 times more fiber, 8.8 times more ash; mineral substances: sodium 24 times, potassium 4.2 times, calcium 19 times, magnesium 6 times, phosphorus 5 times, iron 36 times; vitamins: thiamine 33 times, riboflavin 74 times, niacin 1.2 times. The oil contains up to 8% squalene, which provides healing and anti-inflammatory properties. The characteristics of the content of squalene in amaranth oil in comparison with olive oil are given. The agronomic issues of cultivation and features of post-harvest processing of amaranth are considered. The general view and layout of the seed plant using Fadeev's gentle fractional technology for the production of strong seeds are given. Methods of cleaning amaranth are analyzed and a technological scheme using pneumatic vibrating tables and a photoseparator is proposed. During cleaning, Fadeev sieves were used to remove mineral impurities, soot, and scum. A photo of various fractions obtained during amaranth cleaning is given. It has been established that the repeated separation of amaranth seeds, which have come off from the middle of the pneumovibrating table, can improve the quality of cleaning from the shrike. The photoseparator, when individually removing weeds, which are different in color from the color of pure seeds, cannot help but remove 4-5 pieces of pure seeds from the flow "for the company". It is this mixture of amaranth seeds and cornflower, which is dumped as waste after the photoseparator, is also "ennobled" during separation on a pneumatic shaker table, which in general makes it possible to minimize the share of waste when cleaning amaranth, and to bring the quality of cleaning to an absolute level.
Optimization of Dosage and Application Techniques for Natural Coagulants in Water Treatment
Authors: Hoonka Vaibhav , Tiwari Manish , Khare Arun Kumar , Tiwari Preeti , Saraf Shruti
Published: August 2024

Water treatment remains a critical challenge worldwide, particularly in developing regions where access to clean water is limited. Traditional chemical coagulants, while effective, present environmental and health risks. Natural coagulants, derived from plant materials, offer a sustainable and eco-friendly alternative. This research paper examines the optimization of dosage and application techniques for natural coagulants in water treatment, focusing on Moringa oleifera, Opuntia spp., and Cicer arietinum. The study evaluates the effectiveness of these coagulants in reducing turbidity and improving water quality. The findings highlight the potential of natural coagulants as viable substitutes for chemical coagulants, emphasizing the importance of optimizing dosage and application methods for maximum efficacy
The Role of Natural Coagulants in Enhancing the Settling Properties of Suspended Solids in Water
Authors: Hoonka Vaibhav , Tiwari Manish , Khare Arun Kumar , Tiwari Preeti , Lodhi Ashish
Published: August 2024

: The increasing demand for clean and safe drinking water has necessitated the exploration of alternative methods for water treatment. Conventional chemical coagulants, though effective, present environmental and health risks. Natural coagulants, derived from plant materials, offer a sustainable and eco-friendly alternative. This research paper explores the role of natural coagulants in enhancing the settling properties of suspended solids in water. The study focuses on the effectiveness of Moringa oleifera, Opuntia spp., and Cicer arietinum in improving water quality through enhanced coagulation and sedimentation processes. The findings underscore the potential of natural coagulants as viable substitutes for chemical coagulants, emphasizing the importance of optimizing their application for maximum efficacy
"AI in Medical Imaging: From Abnormality
Detection to Predictive Disease Progression"
Authors: Choubey Jaya , Pandey Divya , Jaishwal Aditi , Jhariy Kajal
Published: August 2024

: This study investigates the integration of artificial intelligence (AI) in medical imaging, focusing on
abnormality detection and predictive disease progression. The proposed method demonstrates a substantial
improvement in accuracy and error metrics, achieving an accuracy rate of 94.6%. The performance of the method is
further validated by key error metrics, with a mean absolute error (MAE) of 0.503 and a root mean square error
(RMSE) of 0.403. These results highlight the method's precision and robustness in medical image analysis.
Additionally, a revised version of the proposed method further improves performance, achieving an accuracy of 97.6%
while maintaining the same MAE and RMSE values. This study compares the proposed method's performance to
established references, such as Ronneberger et al. (2015), Litjens et al. (2016), and Ribli et al. (2018), and demonstrates
superior accuracy. The findings underscore the transformative potential of AI in enhancing diagnostic accuracy,
efficiency, and patient outcomes in healthcare. Future research should address the challenges of data privacy, the need
for extensive training datasets, and algorithmic biases to ensure ethical and effective AI implementation in clinical
practice.
AI-Powered Role-based Access Control and Watermarking: Secure Sharing of Medical Images in Cloud Environments
Authors: Verma Saurabh , Patel Abhishek
Published: August 2024

The secure sharing of medical images in cloud environments is critical to ensure patient privacy and data integrity. This paper presents an AI-powered approach combining role-based access control (RBAC) and triple watermarking techniques to enhance the security of Digital Imaging and Communications in Medicine (DICOM) images. The proposed method integrates watermarking schemes in the spatial, frequency, and hybrid domains, optimized by advanced AI algorithms, to provide robust protection against unauthorized access and tampering. Experimental results demonstrate significant improvements in security metrics compared to traditional methods, highlighting the effectiveness of this approach in safeguarding medical images.
Prospects for Analog Circuits in Deep Networks
Authors: Choudhary Manish , Dixit Akansha
Published: August 2024

Operations commonly used in machine learning algorithms, such as additions and softmax, can be
effectively implemented using compact analog circuits. Analog Application-Specific Integrated Circuit (ASIC) designs
leverage techniques like charge-sharing circuits and subthreshold transistors to achieve high power efficiency. With
recent advances in deep learning algorithms, there has been a shift towards digital hardware accelerator designs that
focus on matrix-vector multiplication operations. In these designs, power consumption is primarily dominated by the
memory access power required for off-chip DRAM used to store network weights and activations. Emerging dense
non- volatile memory technologies offer the potential for on- chip memory, and analog circuits are well-suited to
perform the necessary multiplication-vector operations in conjunction with in-memory computing approaches. This
paper provides a brief review of analog designs that implement various machine learning algorithms and offers an
outlook on the use of analog circuits in low- power deep network accelerators suitable for edge or tiny machine
learning applications.
Evaluating Image Retrieval Methods: A
Comparative Analysis
Authors: Mishra Prateek
Published: August 2024

Image retrieval systems play a crucial role in a variety of applications, from digital asset management to
medical imaging and security. This paper presents a comparative analysis of current image retrieval methods, focusing on
their effectiveness, efficiency, and applicability across different contexts. We systematically evaluate several prominent
techniques, including content-based image retrieval (CBIR), semantic-based retrieval, and hybrid approaches that combine
multiple methodologies. The evaluation criteria encompass retrieval accuracy, computational complexity, and user interaction
effectiveness. Through a series of experiments and case studies, we assess the performance of these methods using benchmark
datasets and real-world scenarios. Our analysis highlights the strengths and limitations of each approach, providing insights
into their suitability for specific applications. The findings aim to guide practitioners and researchers in selecting the most
appropriate image retrieval method based on their needs and constraints. This study contributes to the understanding of image
retrieval technologies and their impact on information retrieval systems.
Air Quality Prediction in Real-Time is Achieved by Employing Dimensionality Reduction Techniques and the K-Nearest Neighbours Algorithm
Authors: Sharma Saurabh , Paranjape Vishal , Hasan Zohaib
Published: August 2024

This study introduces an innovative machine learning method to forecast air quality using a large dataset that includes diverse environmental parameters. The methodology incorporates standard scaling, Principal Component Analysis (PCA) for reducing dimensionality, and the K-Nearest Neighbours (KNN) algorithm to improve predicting accuracy. The model demonstrates an impressive overall accuracy of 95%, surpassing conventional approaches. This method provides a strong and effective solution for predicting air quality in real-time, making a substantial contribution to proactive environmental management and safeguarding public health. The findings highlight the capacity of sophisticated machine learning methods to tackle urban air pollution issues.
Innovative Solutions in Pattern Recognition Using Machine Learning: From Healthcare to Autonomous Systems
Authors: Vishwakarma Abhishek , Soni Kuldeep , Haldkar Kumari Surabhi , Namdeo Nidhi
Published: August 2024

In the era of digital transformation, the proliferation of data across various domains has brought about an unprecedented opportunity for advancements in pattern recognition. Pattern recognition, the automated identification of regularities and patterns within data, is a cornerstone of numerous applications ranging from medical diagnosis to autonomous systems. With the advent of machine learning (ML), pattern recognition has evolved into a sophisticated field that leverages algorithms and computational models to analyze and interpret complex data sets. Machine learning, a subset of artificial intelligence, provides the tools and techniques necessary to extract meaningful information from large volumes of data. By training models on historical data, machine learning algorithms can detect patterns, make predictions, and facilitate decision-making processes. This capability has revolutionized fields such as image and speech recognition, fraud detection, and natural language processing, leading to significant improvements in accuracy and efficiency. The convergence of pattern recognition and machine learning has paved the way for innovative solutions to longstanding problems. For instance, in healthcare, machine learning models are used to recognize patterns in medical images, enabling early detection of diseases and personalized treatment plans. In finance, pattern recognition algorithms help identify fraudulent transactions, ensuring the security and integrity of financial systems. Moreover, in autonomous vehicles, machine learning-powered pattern recognition systems enable real-time object detection and navigation, enhancing safety and reliability. Despite these advancements, several challenges remain. The complexity of real-world data, the need for substantial computational resources, and the necessity for robust models that can generalize well to new, unseen data are ongoing areas of research. Addressing these challenges requires continuous innovation and collaboration across disciplines.The proposed method in this study achieves an accuracy of 97.6%, a mean absolute error (MAE) of 0.403, and a root mean square error (RMSE) of 0.203. This paper aims to explore the state-of-the-art methods in pattern recognition using machine learning, highlight the solutions to common challenges, and discuss future directions for research. By examining case studies and recent developments, a comprehensive overview of how machine learning is transforming pattern recognition and its applications across various industries is provided.
Efficient Machine Learning Through Self-Supervised Learning: Methodologies and Applications
Authors: Pandey Prof. Divya , Vishwakarma Prof. Zeba , Soni Shubhangi , Mishra Akanksha
Published: August 2024

The field of machine learning has recently undergone significant advancements, driven by the development of sophisticated algorithms and the availability of large datasets. Among the various paradigms of machine learning, supervised learning has traditionally dominated, relying heavily on labeled data to train models. However, acquiring and annotating large amounts of labeled data is both time-consuming and costly, leading to a growing interest in self-supervised learning (SSL). This promising approach leverages unlabeled data to learn useful representations, which can then be fine-tuned for specific tasks with minimal labeled data Self-supervised learning creates learning signals from the data itself, thus eliminating the need for manual labeling. By solving auxiliary tasks, such as predicting the rotation angle of an image or filling in missing parts of data, SSL methods can learn robust feature representations that are useful for a wide range of downstream tasks. This paradigm reduces dependency on labeled data and exploits the abundance of unlabeled data available in various domains. The significance of SSL lies in its potential to democratize machine learning, making it more accessible and applicable across different fields. From natural language processing to computer vision and beyond, self-supervised techniques have demonstrated remarkable success in improving model performance while reducing reliance on extensive labeled datasets. As such, SSL represents a critical step towards more efficient and scalable machine learning solutions. This paper explores the development and implementation of a novel self-supervised learning solution based on machine learning principles. The proposed method achieves an accuracy of 97.6%, a mean absolute error (MAE) of 0.403, and a root mean square error (RMSE) of 0.203. A comprehensive overview of the underlying methodologies, the challenges faced, and the potential applications of this approach is provided. By examining the theoretical foundations and practical implementations, this study aims to contribute to the growing body of research in SSL and highlight its transformative impact on the machine learning landscape.Self-Supervised Learning.
AI in Education: Evaluating the Efficacy and Fairness of Automated Grading Systems
Authors: Anjum Prof. Gulafsha , Choubey Prof. Jaya , Kushwaha Shubhanshu , Patkar Vandana
Published: August 2024

The integration of Artificial Intelligence (AI) in educational settings has garnered significant attention, particularly in the realm of automated grading and feedback. Traditional grading methods are labor-intensive, timeconsuming, and prone to human bias, highlighting the need for AI-driven solutions to enhance grading efficiency, accuracy, and consistency. This study explores the application of machine learning algorithms and natural language processing techniques in developing automated grading systems. These systems can evaluate and score a wide range of student work, from multiple-choice assessments to complex written assignments, by identifying patterns and performance criteria from large datasets. The proposed method demonstrates a high accuracy rate of 97.6%, with a mean absolute error (MAE) of 0.403 and a root mean square error (RMSE) of 0.203. These metrics indicate the potential of AI to deliver quick, consistent feedback, allowing educators to allocate more time to personalized instruction and mentorship while making the educational process more scalable. However, challenges such as ensuring the transparency and fairness of AI algorithms, the need for substantial amounts of high-quality training data, and potential resistance from educators and students must be addressed. Additionally, AI systems must provide constructive and meaningful feedback beyond mere numerical scores to foster a supportive and effective learning environment. This paper reviews existing AI-based grading systems, assesses their efficacy and limitations, and discusses the ethical and practical considerations of their use. Through this comprehensive analysis, insights into how AI can enhance educational outcomes and transform traditional assessment and feedback paradigms are provided.
Comprehensive Management and Community Engagement in Biomedical Waste Disposal
Authors: Hoonka Vaibhav , Tiwari Manish , Verma Parth , Mishra Gurusharan , Khare AK , Sirbaiya Bhupendra
Published: August 2024

Solid and liquid waste produced by hospitals, clinics, nursing homes, and research laboratories are potential health hazards requiring proper treatment and disposal. Indian hospitals generate about 1.45 kg of waste per patient per day. A comprehensive management system has been developed to segregate hazardous and non-hazardous waste in hospitals. The major health risks from biomedical waste are associated with sharp objects like needles and syringes, which pose risks of needle prick injuries and transmission of diseases such as AIDS/HIV and Hepatitis B & C to healthcare staff. Surveys indicate frequent needle prick injuries among nursing staff, underscoring the need for proper waste handling. This paper discusses the current biomedical waste disposal system and emphasizes the importance of public awareness and community involvement
The Isolation of 5-Hydroxymethylfuran Metabolites from the Broth Extract of Fomitopsis meliae (Agaricomycetes)
Authors: Srisit Siriwan , Bunloed Chanyaporn , Soma Wichayaporn , Panchompoo Jiraporn , Takpho Chiraphat  , Rattarom Ruchilak , Sangdee Aphidech , Seephonkai Prapairat
Published: August 2024

This study aimed to identify antibacterial compounds from the broth extract of Fomitopsis meliae (MSUCC009). From small-scale fermentation, the broth extract of F. meliae showed antibacterial activity. Therefore, the fermentation of this fungal strain was scaled up and the broth extract was chemically investigated. Purification of the broth extract led to the isolation of two 5-hydroxymethylfuran metabolites, 5-hydroxymethyl-2- furoic acid methyl ester and 5-hydroxymethyl-2-furancarboxylic acid (HMFCA) together with a pyrimidine base, uracil. This is the first isolation report of 5-hydroxymethylfuran derivatives from the genus Fomitopsis. The structures of isolated compounds were elucidated based on nuclear magnetic resonance (NMR) and mass spectrometry (MS) spectroscopic methods, and comparison with previous reports. 5-Hydroxymethyl-2-furancarboxylic acid exhibited antibacterial activity against methicillin-susceptible Staphylococcus aureus with MIC and MBC values of > 0.25 mg/mL. 5-Hydroxymethyl-2-furoic acid methyl ester and 5-hydroxymethyl-2-furancarboxylic acid were also tested against A549 cancer cell lines. These two compounds were inactive in this cytotoxicity assay.
Overdetermined Solidarity: Rethinking Solidarity as a Form of Agency, a Set of Practices, and Performative Normativity with Jean-Luc Nancy
Authors: Telios Thomas
Published: August 2024

The paper sketches a social-ontological understanding of solidarity. Following the philosophy of Jean-Luc Nancy, solidarity is neither an intentional collective activity aiming at overcoming significant adversities (cf. Sangiovanni 2015) nor a moral goal (cf. Habermas 1990) or a certain means to avoiding social pathologies (cf. Neuhouser 2022). Rather, solidarity is overdetermined, comprising three interrelated aspects: first, a collective form of agency, given that the subject is a collective entity that embodies the entirety of the different identities that have been inscribed in it through various modes of subjectivity production; second, a set of collective practices that are contingent since they do not bar individual actions and necessary in the sense of not having to be legitimized when manifesting themselves in a collective manner because they correspond to the subject's collective agency; and third, a performative mode of normativity production through collective struggles, where inclusion functions as solidarity's ethical materialization. To explicate how the individual subject can be conceived as a socially structured, collective entity, I refer to Nancy's conceptualization of freedom, to his concept of the body as an "instance par excellence of contradiction" that is "always in the plural", and ultimately to his theory of the irreducible but not incommensurable Other. In doing so, I extrapolate the idea of solidarity as a necessary form of collective agency from Nancy's understanding of the commensurable Other; from his understanding of a body, the idea of solidarity as a contingently necessary set of collective practices; and ultimately, from Nancy's understanding of freedom, the idea of solidarity as a performative normativity that guarantees the holistic and inclusive character of solidary actions.